Appendices to the Economic
Analysis for the Final Long
Term 2 Enhanced Surface
Water Treatment Rule
Volume II (H - U)
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Office of Water (4606-M) EPA 815-R-06-001 December 2005 www.epa.gov/safewater
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Appendix H
Regulatory Flexibility Screening Analysis
H.l Summary
EPA is required by the Regulatory Flexibility Act (RFA), as amended by the Small Business
Regulatory Enforcement Fairness Act (SBREFA) (5 U.S.C. 601 et seq.), to prepare a Regulatory
Flexibility Analysis for any rule subject to notice and comment rulemaking requirements under the
Administrative Procedure Act or other statutes, unless the Agency certifies that the rule will not have a
significant economic impact on a substantial number of small entities (5 U.S.C. 603(a)).
This appendix describes EPA's initial assessment of the impacts on small entities as a result of
the LT2ESWTR. Based on the results of this screening analysis, EPA certifies that the LT2ESWTR will
not have a significant impact on a substantial number of small entities.
H.2 Methodology
The screening analysis involves four major tasks: (1) defining "small entities" for the rule being
analyzed, including PWSs run by "small businesses," "small governments," and "small organizations;"
(2) determining what number constitutes a "substantial number" of these entities; (3) determining how
"significant impacts" will be measured; and (4) completing a screening analysis. If the screening analysis
determines that a substantial number of small entities may face significant impacts as a result of the rule,
then a formal FRFA may be required.
H.2.1 Defining "Small Entities" Affected by the Rule
The RFA defines small entities as including "small businesses," "small governments," and "small
organizations" (5 U.S.C. 601). The RFA references the definition of "small business" found in the Small
Business Act, which authorizes the Small Business Administration (SBA) to further define "small
business" by regulation. The RFA also authorizes an agency to adopt alternative definitions for each
category of small entity "which are appropriate to the activities of the Agency after proposing the
alternative definition(s) in the Federal Register and taking comment" (5 U.S.C. sees. 601(3) - (5)). In
addition to the above, agencies must consult with SBA's Chief Council for Advocacy to establish an
alternative small business definition.
The RFA references the definition of "small business" found in the Small Business Act, which
authorizes the SBA to define "small business" further by regulation. The SBA defines small businesses
by category using the North American Industry Classification System (NAICS). The NAICS code for
public water supplies (PWSs) is 22131 (Water Supply and Irrigation Systems), and State agencies that
include drinking water programs are classified as 92411 (Administration of Air and Water Resource and
Solid Waste Management Programs) or 923120 (Administration of Public Health Programs). Ancillary
systems (i.e., those that supplement the function of other establishments like factories, power plants,
mobile home parks, etc.) cannot be categorized in a single NAICS code. For ancillary systems, the
NAICS code is that of the primary establishment or industry. Examples of small businesses include
small, privately owned PWSs and for-profit businesses where provision of water may be ancillary, such
as mobile home parks or day-care centers. Examples of small organizations include churches, schools,
and homeowner associations.
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The LT2ESWTR will apply to all PWSs using surface water and GWUDI as a source. A small
PWS can be a business, a government, or an organization, since all entity types may meet the definition of
a CWS, NTNCWS, or TNCWS. Although the SBA and the RFA provide clear definitions for small
businesses, organizations, and governmental jurisdictions, small entities are not necessarily small water
systems. The size of the entity has no relation to the number of people it serves as a water supply.
Furthermore, data are not collected on businesses, organizations, and governmental jurisdictions in terms
of the number of water customers they serve. Therefore, EPA chose to use an alternative definition for
small entities.
For purposes of assessing the impacts of the LT2ESWTR on small entities, EPA considered small
entities to be PWSs serving 10,000 or fewer people. This is the cut-off level specified by Congress in the
1996 Amendments to the Safe Drinking Water Act for small system flexibility provisions. Because this
definition does not correspond to the RFA's definitions for small businesses, governments, and nonprofit
organizations, EPA requested comment on an alternative definition of a small entity in the preamble to
the proposed Consumer Confidence Report (CCR) regulation (63 FR 7620 February 13, 1998). In the
preamble to the final CCR regulation (63 FR 4511 August 19, 1998), EPA stated its intent to establish
this alternative definition for regulatory flexibility assessments under the RFA for all drinking water
regulations and has, therefore, used it for the LT2ESWTR.
H.2.2 Determining What Number Constitutes a Substantial Number
This initial assessment assumes that all small PWSs that use surface water or GWUDI are
potentially affected by the rule, approximately 6,574 small entity. The Interim Guidance for EPA
Rulewriters for the RFA as amended by the SBREFA (March 1999) uses the following criteria to
determine what constitutes a substantial number of affected entities: no more than 1,000 systems affected
by a rule, representing less than 20 percent of all small systems affected by the rule, may experience
economic impacts of 1 percent of their revenues or greater. In addition, no more than 100 systems may
experience economic impacts of 3 percent of their revenues or greater. The LT2ESWTR falls under these
thresholds.
To evaluate the impact that a small entity is expected to incur as a result of the rule, this analysis
calculates the entity's annualized compliance cost as a percentage of sales (for privately owned entities)
or the entity's annualized compliance cost as a percentage of annual governmental revenue or
expenditures (for publicly owned entities).
H.2.3 Obtaining Data on the Number of Small PWSs and Their Revenues or Expenditures
EPA obtained data on the number of small entities in each category, which are presented in
Column A of Exhibit H. 1. The numbers of entities and their distribution among categories are derived
from EPA's Baseline Handbook (USEPA 2001c) and the 1995 CWSS (USEPA 1997c), respectively.
Approximately 49.0 percent of small entities are owned by governments, 33.7 percent are owned by
businesses and ancillary systems, and 17.3 percent are owned by organizations.
EPA also estimated the annual revenues or expenditures of small PWSs, presented in Column B
of Exhibit H. 1. PWS inventories, managed by EPA and other organizations, have traditionally been
categorized by size and by the characteristics of the population served (i.e., CWSs, NTNCWSs, and
TNCWSs) rather than by NAICS code. Revenues by NAICS code are not readily applicable to EPA's
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categorization of systems. Therefore, alternative methods for determining revenue were developed, as
discussed below.
The estimated revenues for small entities in Exhibit H.l are from the Bureau of the Census (U.S.
Department of Commerce 1992), the Safe Drinking Water Information System (SDWIS), and additional
data on independent privately owned CWSs, special districts, and authorities from the 1995 Community
Water System Survey (USEPA 1997c). Column A of Exhibit H.l shows the numbers of systems
classified as small businesses, governments, and organizations, obtained using information from the Third
Edition of the Baseline Handbook (USEPA 2001c). These numbers were used to determine the weighted
averages of estimated revenue. Column B shows the estimated revenues.
Small government systems include municipal, county, state, federal, military, and special district
systems. Data on revenue for townships and municipalities were obtained from the 1992 Census of
Governments (U.S. Department of Commerce 1992), converted to 2003 dollars by applying a conversion
factor calculated from the national income and product account tables of the U.S. Bureau of Economic
Analysis.1 Specifically, the price deflators were obtained from Price Indexes for Government
Consumption Expenditures and Gross Investment (U.S. Department of Commerce, BEA 2004b). The
average revenue for all small governments with PWSs was calculated at $2,649,186.
Small business-run PWSs in Exhibit H.l include both CWSs and NTNCWSs, such as privately
owned CWSs, mobile home parks, country clubs, hotels, manufacturers, hospitals, and other
establishments. For this analysis, all hospitals and day care centers are assumed to be businesses, as are
50 percent of systems classified as "other."2 Estimated average revenue for the small businesses affected
by the LT2ESWTR is $2,555,888.
Small organizations include primarily nonprofit NTNCWS such as schools and homeowners
associations. The revenue estimates for small nonprofit organizations serving more than 500 people are
actually higher than those for small businesses because the total number of such systems is small, and a
large proportion of these organizations are schools and colleges with large budgets. This category also
includes 50 percent of systems classified as "other." The average estimated revenue for small
organizations affected by the LT2ESWTR is $4,750,838.
EPA also calculated the average estimated revenue for all entities. This estimate is weighted to
account for the number of small entity PWSs in each category (government, business, and organization)
affected by the LT2ESWTR. This overall average is $2,981,331.
H.2.4 Measuring Significant Impacts
To evaluate the impact that a small entity is expected to incur as a result of the rule, this analysis
calculates the entity's annualized compliance costs as a percentage of sales (for privately owned systems)
or the entity's annualized compliance costs as a percentage of annual governmental revenue or
expenditures (for publicly owned systems). The Interim Guidance for EPA Rulewriters for the RFA as
amended by SBREFA (March 1999) suggests using 1 percent as a threshold for determining significance,
although additional factors may be considered. If compliance costs are less than 1 percent of sales or
revenues for fewer than 1,000 entities, which represent less than 20 percent of all affected small entities,
1 Methodology recommended by Bruce E. Baker, State and Local Governments, Government Division, U.S. Bureau
of Economic Analysis.
2 The "other" category contains systems that do not yet have a specific function identified.
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then in most cases there is no significant impact. In addition, the guidance suggests that if fewer than 100
systems experience economic impacts of 3 percent of their revenues or greater, than in most cases there is
no significant impact.
Exhibit H. 1 presents the data EPA used for the screening analysis to determine if the LT2ESWTR
will have a substantial impact on a significant number of small entities. The numbers of systems expected
to incur costs of more than 1 and 3 percent of their revenues are presented in Columns E and G,
respectively. The numbers of systems experiencing impacts of more than 1 and 3 percent of their
revenues were compared to the total number of systems in each size category to calculate percentages,
shown in Columns D and F.
EPA determined that a total of 152 small entities, representing 2.3 percent of all small entities
affected by the LT2ESWTR, will experience an impact of 1 percent or greater of average annual
revenues. This is less than the criteria of 1,000 systems or 20 percent of systems used to determine
significant impact. Further, the Agency has determined that 18 small entities, representing 0.3 percent of
all small entities subject to the LT2ESWTR, will experience an impact of 3 percent or greater of average
annual revenues. This is less than the criterion of 100 systems used to determine significant impact at this
cost level. Based on the large number of small entities, the nature of the economics for community water
systems, and the information presented in Exhibits 8.1, EPA is certifying that the Stage 2 DBPR will not
lead to significant economic impacts for a substantial number of small entities. CWSs have many
resources available to them that other industries do not have. For example, financial assistance to small
systems may be available from programs administered by EPA or other Federal agencies, as described in
Chapter 8.
Because EPA is certifying that the Stage 2 DBPR will not lead to significant economic impacts
for a substantial number of small entities, EPA is not required by the RFA, as amended by SBREFA, to
conduct a final regulatory flexibility analysis (FRFA). Nevertheless, EPA has tried to reduce the impact
of this rule on small systems.
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Exhibit H.1: Annualized Compliance Cost of the LT2ESWTR as a Percentage of
Revenue and Number of Small Entities Experiencing Impacts ($2003)
PWSs by
Number of
Percent of
Average Annual
Estimated
Systems Experiencing Costs
of >1% of their Revenues
Systems Experiencing Costs
of >3% of their Revenues
Ownership Type
Small
Small
Revenues111 per
Number of
Percent of
Number of
Percent of
and System Size
Systems
Systems
System ($)
Systems
Systems
Systems
Systems
A
B
C
D = A*E
E
F = A*G
G
Small Government PWSs
3,221
49%
$2,649,186
74
2.3%
9
0.3%
Small Business PWSs
2,215
34%
$2,555,888
51
2.3%
6
0.3%
Small Organization PWSs
1,137
17%
$4,750,838
4
0.4%
1
0.1%
All Small Entity PWSs
6,574
100%
$2,981,331
152
2.3%
18
0.3%
Notes: Detail may not add due to independent rounding. Cost data (annualized at 3 percent over 20 years) are
based on the means of the highest modeled distributions generated using the ICR occurrence data set.
1 Revenue information was used whenever available. When it was not available, other measures such as sales or
annual operating expenditures were used. Data were not available to differentiate revenue by system size.
2 Compliance costs were compared to average annual revenue to determine whether 20 percent of small entities
would incur costs exceeding 1 percent of their average annual revenues. Thresholds to determine whether a rule has
a significant impact on a substantial number of small entities are taken from the Interim Guidance for EPA Rulewriters
for the RFA as amended by the SBREFA (March 1999).
3 Compliance costs incurred by each entity were compared to 1 percent of average annual revenues to determine
whether 1,000 or more entities will experience an impact of 1 percent or greater of average annual revenues.
4 Compliance costs incurred by each entity were compared to 3 percent of average annual revenues to determine
whether 100 or more entities will experience an impact of 3 percent or greater of average annual revenues.
Sources:
(A) Number of disinfecting CWSs and NTNCWSs serving fewer than 10,000 people from the system baseline in
Exhibit 4.3, multiplied by 43%, 37.3%, and 19.7% to obtain number of small government, small businesses, and small
organizations, respectively.
(B) Percent of small governments, businesses, and organizations derived from the 1995 CWSS (USEPA 1997c).
(C) Small Governments: Revenues from 1992 Census of Governments, GC92(4)-4: Finances of Municipal and
Township Governments, U.S. Dept. of Commerce, Bureau of the Census; price deflators from Table 8.11, Chain-Type
Quantity and Price Indexes for Government. All other price adjustments were calculated using the Consumer Price
Index.
(E, G) Derived from Column B and compliance costs from the LT2ESWTR Cost Model (Appendix U).
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Appendix I
Unit Costs for Uncovered Finished Water Reservoirs
1.1 Introduction
This appendix presents unit cost tables for covering or treating uncovered finished water
reservoirs. This appendix supports the discussion of these rule activities in Chapter 6. General conditions
and assumptions are provided first, followed by a discussion of each treatment option.
1.2 Conditions and Assumptions
The EPA Regions provided an inventory of the nation's uncovered finished water reservoirs. To
develop national cost estimates, EPA derived unit costs for the two options of covering the reservoir or
disinfecting the reservoir effluent. Where surface area information is unavailable for a reservoir, a depth
is assumed to determine surface area for a given reservoir volume.
The data are then divided into 14 size categories for assessing technology costs according to
mean values per size category. For each size category, an assumed average hydraulic residence time is
used to calculate average daily and design flows. The average daily flow is then used to calculate mean
surface area per size category. Exhibit 1.1 presents the data used in the costing efforts.
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Exhibit 1.1: Baseline Conditions for Uncovered Reservoirs by Size Category
Number of
Estimated Average
Uncovered
Mean Volume
Mean Surface
Hydraulic Residence
Average
Design
Size Category (MG)
Reservoirs
(MG)
Area (ft.2)
Time (day)
Flow (MGD)
Flow (MGD)
A
B
C
D
E = BID
F = 3*E
o
o
3
0.093
500
1.00
0.09
0.28
>0.1-1
9
0.478
2,555
1.00
0.48
1.43
>1-5
10
3.165
16,924
1.00
3.17
9.50
>5-10
4
8.000
42,778
2.00
4.00
12.00
>10-20
12
15.200
81,278
3.00
5.07
15.20
>20-40
5
28.080
150,150
3.00
9.36
28.08
>40-60
10
51.422
274,964
3.00
17.14
51.42
>60-80
7
67.843
362,772
3.00
22.61
67.84
>80-100
3
94.000
502,641
3.00
31.33
94.00
>100-150
6
127.255
680,461
4.00
31.81
95.44
>150-200
1
179.000
957,156
4.00
44.75
134.25
> 200 - 250
4
208.500
1,114,900
4.00
52.13
156.38
>250- 1000
6
694.679
3,714,615
14.00
49.62
148.86
> 1000
1
3,313.718
17,719,245
21.00
157.80
473.39
Total
81
0.000
0
-
-
-
Note: Average daily flow is assumed to be one-third of design flow.
Source: (A-C) EPA Regions
(D) Professional judgment.
1.3 Covers
Uncovered finished water reservoirs are susceptible to contamination from bird and animal waste
and airborne deposition. Covering the reservoirs can provide protection from water quality deterioration.
In addition to providing public health protection, covers prevent algal growth and reduce the amount of
chlorine lost during storage by excluding sunlight (Griffith 1988).
Covers can be either fixed or floating. A number of factors are involved in determining a suitable
cover, including reservoir size and shape, geological stability of the area, estimated snow, wind and
seismic loads put on the reservoir, length of time the reservoir would be taken off-line for construction,
existing reservoir rehabilitation, and construction and operations and maintenance (O&M) costs. The
remainder of this section explains the estimated capital and O&M costs associated with fixed and floating
covers. Fixed and floating cover costs do not include any costs associated with the design, re-design, or
rehabilitation of a reservoir.
1.3.1 Floating Covers
Floating covers are flexible membrane structures made of either air-supported fabric or
polypropylene material that rest on the surface of open reservoirs. For drainage purposes, floating covers
should be flexible as they tend to collect rainwater and washwater. Routine monitoring for damage and
proper maintenance and cleaning of the cover will extend its useful life. For this Economic Analysis
(EA), floating cover material is assumed to be polypropylene. The costs were estimated by obtaining
vendor quotes. The vendor quotes were checked with actual project data to ensure they were consistent
with costs experienced by water utilities.
The vendors indicated that costs were size dependent, and there were significant economies of
scale for larger covers. The cost analysis uses different unit costs for reservoir surface areas above and
below 100,000 square feet. For reservoirs smaller than 100,000 square feet, an average cost of $4.00 per
Economic Analysis for the LT2ESWTR
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December 2005
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square foot was used. An average cost of $3.33 per square foot was used for reservoirs larger than
100,000 square feet. O&M cost estimates are 3 percent of total capital costs (USEPA 1999c). For each
size category, material costs are estimated for the mean surface area.
Based on best professional judgment, engineering contingencies (construction, standby power,
contractor overhead and profit, legal, fiscal, and administrative costs) are estimated to be 35 percent of
material costs. Exhibit 1.2 presents capital and O&M costs associated with floating covers.
Exhibit 1.2: Floating Cover Costs for Uncovered Reservoirs
Size Category
iviean suirace
Cost per
(MG)
Area (ft.2)
Square Foot
Capital Costs
Annual O&M Costs
A
B
C = A*B
D = C*3%
0-0.1
500
$
4.95
$
2,475
$
74
>0.1-1
2,555
$
4.95
$
12,655
$
380
>1-5
16,924
$
4.95
$
83,811
$
2,514
>5-10
42,778
$
4.95
$
211,845
$
6,355
>10-20
81,278
$
4.95
$
402,506
$
12,075
>20-40
150,150
$
4.12
$
619,028
$
18,571
>40-60
274,964
$
4.12
$
1,133,598
$
34,008
>60-80
362,772
$
4.12
$
1,495,607
$
44,868
>80-100
502,641
$
4.12
$
2,072,246
$
62,167
>100-150
680,461
$
4.12
$
2,805,351
$
84,161
> 150-200
957,156
$
4.12
$
3,946,086
$
118,383
> 200 - 250
1,114,900
$
4.12
$
4,596,418
$
137,893
>250- 1000
3,714,615
$
4.12
$
15,314,317
$
459,430
> 1000
17,719,245
$
4.12
$
73,051,478
$
2,191,544
Source: (A) Exhibit 1.1, column C.
(B) Vendor quotes, including a 35% increase for engineering, contractor overhead and
contingencies, legal and permit fees, and additional power.
1.3.2 Fixed Covers
Fixed covers are permanent structures constructed to direct drainage away from the reservoir and
prevent other contamination of the stored water (USEPA 1999c). These permanent structures can be
made from wood, steel, reinforced concrete, or aluminum.
For this EA, fixed cover material is assumed to be common concrete. In the same manner as the
floating cover cost model, costs are estimated for the mean surface area for each size category. Material
costs are $22.00/sq.ft. (USEPA 1999c). O&M costs are assumed to be 0.1 percent of total capital cost.1
As with floating cover cost estimates, engineering contingencies are included at 35 percent of
capital costs. Exhibit 1.3 presents capital and O&M costs associated with fixed covers.
1 Estimate obtained from the Report on Water Quality Issues at Sheffield Reservoir for the City of Santa
Barbara (Carollo 1999).
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Exhibit 1.3: Fixed Cover Costs for Uncovered Reservoirs
Size Category
iviean suirace
Cost per
(MG)
Area (ft.2)
Square Foot
Capital Costs
Annual O&M Costs
A
B
C = A*B
D = C*0.1%
0-0.1
500
$
29.70
$
14,843
$
15
>0.1-1
2,555
$
29.70
$
75,895
$
76
>1-5
16,924
$
29.70
$
502,643
$
503
>5-10
42,778
$
29.70
$
1,270,504
$
1,271
>10-20
81,278
$
29.70
$
2,413,958
$
2,414
>20-40
150,150
$
29.70
$
4,459,470
$
4,459
>40-60
274,964
$
29.70
$
8,166,420
$
8,166
>60-80
362,772
$
29.70
$
10,774,330
$
10,774
>80-100
502,641
$
29.70
$
14,928,425
$
14,928
> 100-150
680,461
$
29.70
$
20,209,699
$
20,210
> 150-200
957,156
$
29.70
$
28,427,532
$
28,428
> 200 - 250
1,114,900
$
29.70
$
33,112,516
$
33,113
>250- 1000
3,714,615
$
29.70
$
110,324,075
$
110,324
> 1000
17,719,245
$
29.70
$
526,261,590
$
526,262
Source: (A) Exhibit 1.1, column C.
(B) Vendor quotes, including a 35% increase for engineering, contractor overhead and
contingencies, legal and permit fees, and additional power. Costs are in 1999 dollars.
1.4 Disinfection
As stated previously, uncovered finished water reservoirs are susceptible to human and animal
contamination. In order to maintain a potable water supply without installing a cover, systems may treat
the reservoir effluent if they do not cover the reservoir. The rule requires 2 log Cryptosporidium, 3 log
Giardia, and 4 log virus inactivation. To achieve the disinfection requirements, the combination of UV
and chlorine provide the least expensive option in this analysis.
1.4.1 Chlorination
To develop costs associated with booster chlorination disinfection, the analysis uses the Water
Model (USEPA 1984) and the Water and Wastewater (WAV) Costs and Design Criteria Guidelines Model
(CWC 1994). These cost models cover 45 different unit treatment processes. Since these reservoirs
contain finished or already treated water, low-dose gas chlorination is assumed to maintain sufficient
disinfectant residual in the distribution system; hereafter, this is referred to as "booster chlorination." For
reservoirs containing less than 100,000 gallons, 150 pound cylinders were assumed to be used and the
Water Model was used to calculate costs. A cost factor of 2.5 was used with the Water Model to calculate
total costs. The cost factor accounts for cost items such as design, engineering, installation, site work, and
installation. For reservoirs containing more than 100,000 gallons it was assumed that 1-ton chlorine
cylinders would be used and the WAV model was used to calculate costs. A cost factor of 2.0 was used
for the WAV model to obtain total capital costs. The cost factor represents cost items such as design,
engineering, installation, site work, and installation.
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EPA evaluated CT requirements from the 1996 SWTR Guidance Manual and determined that a
chlorine dose of 1.0 mg/1 would provide adequate virus inactivation in most cases. Other assumptions for
booster chlorination are given in Exhibit 1.4.
Exhibit 1.4: Assumptions for Booster Chlorination
Size category
Design How
CI2 Dose
CI2 Design How
Average Daily
Average Daily
CI2 Dose
(MG)
(mgd)
(mg/l)
(lb/day)
Flow (mgd)
Flow (lb/day)
(ton/year)
A
B
C = A*B*8.34
D
E = B*D*8.34
F = E*365/2000
0
1
o
0.28
1.00
2.34
0.09
0.78
0.14
>0.1-1
1.43
1.00
11.96
0.48
3.99
0.73
>1-5
9.50
1.00
79.19
3.17
26.40
4.82
>5-10
12.00
1.00
100.08
4.00
33.36
6.09
> 10 - 20
15.20
1.00
126.77
5.07
42.26
7.71
>20-40
28.08
1.00
234.19
9.36
78.06
14.25
>40-60
51.42
1.00
428.86
17.14
142.95
26.09
>60-80
67.84
1.00
565.81
22.61
188.60
34.42
>80-100
94.00
1.00
783.96
31.33
261.32
47.69
> 100-150
95.44
1.00
795.98
31.81
265.33
48.42
>150-200
134.25
1.00
1,119.65
44.75
373.22
68.11
> 200 - 250
156.38
1.00
1,304.17
52.13
434.72
79.34
>250- 1000
148.86
1.00
1,241.49
49.62
413.83
75.52
> 1000
473.39
1.00
3,948.06
157.80
1,316.02
240.17
Source: (A) Exhibit 1.1, column F.
(B) Expert opinion and review of 1996 SWTR Guidance Manual.
(D) Exhibit 1.1, column E.
Both cost models require standard indices and unit costs from the Bureau of Labor Statistics
(BLS) and the Engineering News Record (ENR) to generate capital and O&M costs. For booster
chlorination, these cost models take into account typical process equipment and chemical building costs
and, therefore, do not require additional adjustments. As adapted from the Technology and Cost
Document (USEPA 2003a), values used in estimating booster chlorination costs are reported in
Exhibit 1.5.
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1-5
December 2005
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Exhibit 1.5: Cost Indices Used in the Cost Models
Parameter
Cost Index
ENR Building Cost
3,505
ENR Skilled Labor
5,596
ENR Material Prices
2,228
Electricity
$0.08/k Wh
Natural Gas
$0.006/ft3
Diesel Fuel
$1,25/ft2
Housing Costs
$125/ft2
Labor: 0- 5 MG
$14.5/hr
Labor: > 5 MG
$28.0/hr
Engineering
15% of total equipment costs
Sitework, Interface Piping
15% of total equipment costs
Subsurface Considerations
10% of total equipment costs
Standby Power
5% of total equipment costs
Land Cost
$0/acre
Interest Rate During Construction
7%
Number of Years
20
Chlorine, 1-ton cylinder
(>1MG, <250 MG)
$350/ton
Chlorine, bulk
(> 250 MG)
$280/ton
Exhibit 1.6 presents cost model outputs for capital and O&M costs associated with booster
chlorination for uncovered reservoirs.
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December 2005
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Exhibit 1.6: Booster Chlorination Costs for Uncovered Finished Water Reservoirs
Model
Raw
Total Unit
Unit
Total Capital Unit
Size Category
Process
Process
Capital
Housing
Cost Including
Unit O&M
(MG)
Cost
Cost
Cost
Cost
Indirect Costs
Cost
A
B
C
D
E = (C+D)*3539/3574
F
0-0.1
B
C
D
E
F = (D + E)*3539/3574
G
>0.1-1
$29,042
$11,506
$28,766
$0
$28,484
$5,875
>1-5
$21,132
$21,620
$43,240
$5,865
$48,624
$12,935
>5-10
$26,831
$26,831
$53,662
$10,057
$63,095
$15,739
>10-20
$30,884
$30,884
$61,768
$13,318
$74,351
$16,726
>20-40
$32,894
$32,894
$65,788
$14,936
$79,933
$17,206
>40-60
$43,640
$43,640
$87,280
$23,579
$109,773
$19,774
>60-80
$63,190
$63,190
$126,380
$39,306
$164,063
$24,450
> 80-100
$80,978
$80,978
$161,956
$48,113
$208,012
$28,007
>100-150
$104,465
$104,465
$208,930
$56,392
$262,724
$32,253
> 150-200
$104,931
$104,931
$209,862
$56,556
$263,809
$32,351
>200-250
$145,548
$145,548
$291,096
$73,852
$361,374
$41,230
>250- 1000
$157,034
$157,034
$314,068
$80,512
$390,716
$44,659
> 1000
$163,097
$163,097
$326,194
$84,027
$406,204
$46,462
Sources:
(A, D) Taken from the Water Model for the '0-0.1' category, and the W/W Model for the remainder.
(B) The Model Process cost for the '0-0.1' category are multiplied by 39.2% to reflect the actual equipment costs and
remove the electrical, piping, site work, etc.
(C) The Raw Process Costs are multiplied by a capital cost factor of 2.5 or 2 to account for electrical, piping, site
work, etc.
(F) Costs are multiplied by 3539/3574 to convert costs in the same year as other cost estimates used in the treatment
model.
1.4.2 UV Disinfection
The UV disinfection predicted to be installed uses the same unit cost as the treatment plants. See
Appendix E for more information.
1.5 National Cost Estimate
To determine national costs for covering or treating uncovered finished water reservoirs, the
number of reservoirs selecting each technology uses a least-cost approach, but assumes only 50 percent of
reservoirs will be able to disinfect. The technology selection for uncovered finished water reservoirs is
presented in Exhibit 1.7.
Although disinfection is the least expensive approach for the remaining systems, the ability of a
system to use booster chlorination depends on its current residual disinfectant type. Approximately 50
percent of all surface water systems are predicted to use chloramination following implementation of the
Stage 2 DBPR. Adding chlorine to water treated with chloramines can cause quality problems; therefore,
a maximum of 50 percent of systems were assumed to add booster chlorination and UV after the
reservoir. UV alone was not considered a practical option because the dose requirements for virus
inactivation are high, making the capital and O&M costs higher than for chlorine.
Because the technology selection is based on least costs, and fixed-cover costs are the most
expensive treatment option considered, no systems were assumed to install fixed covers. EPA recognizes
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December 2005
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that some systems may select fixed covers for other reasons, but these incremental costs are not
attributable to this rule.
Exhibit 1.7: Technology Selection for Uncovered Finished Water Reservoirs
Number of
Floating
Booster
Uncovered
Cover
Chlori nation & UV
Size Category (MG)
Reservoirs
(%)
Disinfection (%)
A
B
C
0
1
o
3
100
-
>0.1-1
9
100
-
>1-5
10
100
-
>5-10
4
100
-
>10-20
12
100
-
>20-40
5
50
50
>40-60
10
50
50
>60-80
7
50
50
> 80-100
3
50
50
> 100-150
6
50
50
> 150-200
1
50
50
> 200 - 250
4
50
50
>250- 1000
6
50
50
> 1000
1
50
50
Source: (A) Exhibit 1.1, column C.
(B-D) Best professional judgement.
To determine national costs to comply with the uncovered reservoir requirement of the
LT2ESWTR, the number of reservoirs selecting each technology is multiplied by the capital and O&M
costs for that technology. To account for uncertainty when the total costs are modeled, a triangular
distribution of + 15 percent around the mean estimate is assumed for O&M costs; a triangular distribution
of + 30 percent around the mean estimate for capital costs is also assumed. For each value, 10,000 values
are drawn to generate a distribution. Present value is calculated for the mean and 5th and 95th percentile at
both 3 and 7 percent discount rates, then annualized at those rates. Exhibit 1.8 shows the annual cost
estimates for complying with the uncovered reservoir requirement of the LT2ESWTR.
Exhibit 1.8: Annual National Cost Estimate for Uncovered Finished Water
Reservoirs
System Size
(Population
Served)
Annualized Cost at 3%
Annualized Cost at 7%
Capital
O&M
Total
Capital
O&M
Total
< 10,000
$0.01
$0.00
$0.01
$0.01
$0.00
$0.02
>10,000
$13.04
$7.46
$20.50
$18.79
$7.36
$26.15
Total
$13.05
$7.46
$20.51
$18.80
$7.37
$26.16
Source: (A) Exhibit 1.1, column C.
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December 2005
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1.6 Number of Households Expected To Incur Costs
To determine the number of households incurring costs attributed to covering or treating the
uncovered finished water reservoirs, the 14 reservoir volume categories are assigned to the nine
population size categories. A CWS regression equation from the Model Systems Report (USEPA 2000a)
is used for this purpose. Using the average daily flow, calculated from the volume and assumed detention
time, a population is calculated. Reservoirs are then assigned to size categories using this population.
For these purposes, the flow through the reservoir is estimated to be the entire system flow. Although this
may not be an accurate assumption in all cases, there is no basis on which to make another assumption.
Exhibit 1.9 presents the categorization of the 81 reservoirs by population served.
Exhibit 1.9: Number of Uncovered Finished Water Reservoirs by System Size
System Size
Number ot
(Population Served)
Reservoirs
<100
3
100-499
0
500 - 999
0
1,000-3,299
0
3,300 - 9,999
9
10,000-49,999
26
50,000 - 99,999
5
100,000-999,999
37
>1,000,000
1
Total
81
Source: Exhibit 1.1
To determine the number of households incurring costs, the number of systems is then multiplied
by the average number of households per system. The average number of households per system is the
ratio of the average number of people per system from the Baseline Handbook (USEPA 2001c) to the
average number of people per household (2.59). Exhibit 1.10 presents the total number of households
incurring the cost of covering or treating the nation's uncovered finished water reservoirs.
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December 2005
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Exhibit 1.10: Number of Households Incurring Costs for Uncovered Finished
Water Reservoirs
System Size
Number of
(Population Served)
Households
<100
63
100-499
0
500 - 999
0
1,000-3,299
0
3,300-9,999
20,159
10,000-49,999
217,257
50,000-99,999
106,926
100,000-999,999
2,774,523
>1,000,000
267,187
Total
3,386,115
Source: Derived from Exhibit 4.28.
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December 2005
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Appendix J
Estimation of Household Costs
J.l Introduction
The complexities involved in calculating the costs for the LT2ESWTR make the derivation of
household costs particularly difficult. Household costs are presented as average, or mean, household
costs incurred for all systems and for those systems adding treatment. Distributions of household costs
are also developed, graphically showing the variability in costs for households impacted by the rule. This
appendix is intended to take the reader through the household cost calculation process.
J.2 Calculation of Household Costs
Step 1: Calculating the Number of Households Incurring Costs
The first step in arriving at annual household cost estimates is calculating the total number of
households subject to LT2ESWTR provisions for each system size category. The number of households
per plant is calculated by dividing the average number of people served per plant by the average number
of people per household (2.59 people per household) for each system size category (U.S. Census Bureau
2001a). SDWIS data provides system populations for all community water systems (CWSs) according to
the established system population size categories (this analysis is limited to CWSs because only those
systems serve residential customers) (USEPA 2003e). The average number of people served per plant
(presented in Chapter 4) is derived from the SDWIS data, while the number of people per household is
the 2000 Census Bureau data estimate. This calculation results in the number of households per plant for
a given size category. The following flowchart illustrates this calculation.
1 Average number of people per plant is derived from the 2003 SDWIS database and the Model Systems Report.
2 Average number of people per household is taken from 2000 U.S. Census data
\\ euue N umbei
of People pei
\\erime \unibei
of People per
I loiiseliokl
\\ ei';me Number of
I loiisehokls per Pkiui
Number of Phinis
Subjeel lo Rule
\eli\ il\ '
Tol;il Number of
I loiisehokls IueuiTiii'.
( OS|S
3 Evaluated separately for filtered plants, unfiltered plants, and uncovered finished water reservoirs
The number of households incurring costs is estimated separately for filtered plants, unfiltered
plants and uncovered finished water reservoirs and for each rule activity (implementation, monitoring,
and treatment).
Filtered Plants
The total number of households subject to each rule activity is estimated by multiplying the
average number of households per plant by the number of plants subject to the activity. The number of
plants implementing the rule is the same for all regulatory alternatives but the number monitoring or
adding treatment varies depending on the regulatory alternative and the modeled Cryptosporidium
Economic Analysis for the LT2ESWTR
J-l
December 2005
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occurrence distribution. The percentage of plants conducting each activity is shown below and is derived
from Chapter 6:
Implementation - 100 percent of plants (Implementation is based on a system level, but 100
percent of systems perform implementation activities; therefore, 100 percent of plants would
also incur implementation costs.)
• E. coli Monitoring - 96 to 99.6 percent of plants
• Cryptosporidium Monitoring - 34 to 99.6 percent of plants
• Future Monitoring for E. coli - 70 to 90 percent of plants
• Future Monitoring for Cryptosporidium - 27 to 71 percent of plants
The baseline number of plants performing implementation and conducting E. coli monitoring is
the number of nonpurchased plants (EPA assumes that purchased plants do not have untreated source
waters and that they buy all their water from another system). EPA expects that the nonpurchased plants
will pass their costs onto all customers, including other systems that purchase water from them. Because
purchased systems will experience wholesale cost increases that reflect implementation and monitoring,
households in purchased systems are included in the household calculation as well. Below is an
illustration that represents how monitoring and implementation costs are applied to households in
purchased and nonpurchased systems.
Economic Analysis for the LT2ESWTR
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Exhibit J.1: Distribution of Costs Between Purchased and Nonpurchased
Systems
ff c t a if P o jjir' u I a/t i o ri. o f SVs terfrA
Treatment costs are estimated for both purchased and nonpurchased systems (see Chapter 4 for
explanation of why this is appropriate considering the system classification scheme).
To properly determine the impact of costs on households belonging to small purchased systems,
the actual costs passed onto the purchased system from the nonpurchased system are taken into account.
The costs incurred by the customers of these small purchased systems are included in the size category to
which the purchaser belongs and not to the larger size category of the seller. To accomplish this, the
number of households in each linked size category as described in Chapter 4 is determined. Then the
percentage of households in a linked size category deriving from each of the unlinked size categories is
determined. This percentage is multiplied by the total number of households in the linked size category.
The resulting cost is then multiplied by the household water usage number for the unlinked size category
to determine the household costs for households served by that purchased system.
For example, in the size category serving between 500 and 1,000 people (S3), there are 70,321
people served by surface water or ground water under the direct influence of surface water (GWUDI)
systems. Of these, 1,690 come from purchased systems in the 100 to 499 people served category (S2) and
132 people come from the systems in the <100 people served size category (SI). Therefore,
2.4 percent of the total population in the S3 category is associated with purchased systems in the S2
category and 0.2 percent with purchased systems in the SI category. These percentages would then be
Economic Analysis for the LT2ESWTR
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December 2005
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multiplied by the total number of households in the size category to obtain the number of households
incurring the cost for the S3 category. Therefore, for each technology cost in the S3 category, 97.6
percent would be allocated to the S3 category, 1.4 percent would be placed in the S2 category, and 0.2
percent would be placed in the S1 category. This step has no effect on the national household cost
distributions but only affects analyses which are broken down by size category.
JJnfiltered Plants
The total number of households affected by the rule is estimated by multiplying the average
number of households per plant by the number of unfiltered plants subject to the rule. The percentage of
plants subject to each rule activity is the same for all regulatory alternatives and is derived from
Chapter 6:
Implementation - 100 percent of plants (Implementation is based on systems, but 100 percent
of systems perform implementation activities, therefore, 100 percent of plants will also incur
implementation costs.)
• Adding Treatment for Cryptosporidium Control - 100 percent of plants
• Monitoring - 100 percent of plants
Implementation costs are applied to households in both purchased and nonpurchased systems in a
manner similar to that for filtered plants.
Uncovered Finished Water Reservoirs
The total number of households affected by the rule is estimated by determining the average daily
flow for each reservoir size category and using flow per population regression equations from the Model
Systems Report. The number of households affected by the rule is the same for all regulatory
alternatives.
Step 2: Household Unit Costs for Each Treatment Technology
The capital and operations and maintenance (O&M) costs for applicable technologies and the
average daily flow for each system size are used to calculate a household unit cost (Appendix E)1. Flows
for CWSs are presented in Chapter 4. Costs are annualized according to system size and ownership at
discount rates of about 5 to 6 percent (see Exhibit J.2 for specific rates). The percentage of plants
publicly and privately owned is derived from SDWIS and described in Chapter 4.
1 Detailed descriptions of the assumptions and processes used in the development of treatment capital and
O&M costs can be found in "Technologies and Costs for Control of Microbial Contaminants and Disinfection By-
products. " (USEPA 2003a) as well as preceding sections of this document.
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December 2005
J-4
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Household unit costs for each technology can be represented by the following equation—
HHUC =(ACC+0&M)/(ADF* 1,000*365)
where: HHUC = Household Unit Cost ($/1000 gal)
ACC = Annualized Capital Cost ($) (as described in Chapter 6 and Appendix C)
ADF = Average Daily Flow (MGD) (as presented in Chapter 4)
O&M = Annual Operations and Maintenance Costs (as described in Chapter 6 and
Appendix C) ($/1000 gal)
Once average household unit costs for each treatment technology are determined, they are
multiplied by the annual water usage per household to arrive at average annual household treatment costs.
Annual water usage rates used in this calculation are derived from residential usage from the Baseline
Handbook and are shown in Exhibit J.2.
Exhibit J.2: Data Used to Estimate Household Costs
System
Size
(population
served)
Average
HH /
Plant
Discount Rate
Annual Water
Usage per
Household
(kgal/yr)
Public
Private
<100
22
5.31%
6.22%
83
101-500
109
5.31%
6.22%
83
501-1,000
289
5.58%
6.22%
104
1,001-3,300
760
5.58%
6.22%
87
3,301-
10,000
2,285
5.58%
6.22%
97
10,001-
50,000
8,779
5.20%
5.66%
109
50,001-
100,000
26,182
5.24%
6.27%
119
100,001-
1 Million
95,969
5.24%
6.27%
125
> 1 Million
844,639
5.24%
6.27%
125
Source: Baseline Handbook (USEPA, 2001c)
Step 3: Distribution of Annual Household Treatment Costs (cost per household)
Once the annual household costs for each technology are derived, they are paired with the
number of households incurring costs for that specific treatment technology. For example, in the 100-500
population served size category, the number of households served by a plant installing microfiltration will
be paired with the annual household cost for microfiltration as calculated above. This process is repeated
for each treatment technology that is forecast to be employed within a given system size category. The
end result of this process is a distribution of treatment costs across a given system size category.
Economic Analysis for the LT2ESWTR
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December 2005
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Step 4: Distribution of Annual Household Implementation and Annual Household Monitoring
Costs (costper household)
Annual household implementation and monitoring costs are estimated in the same manner as
annual household treatment costs. Implementation costs as well as E. coli monitoring costs are assigned
to all households. Costs for Cryptosporidium monitoring, future E. coli monitoring, future
Cryptosporidium monitoring, and uncovered finished water reservoirs apply to just a percentage of the
total plants and therefore to a percentage of the total households. The household unit cost for each size
category and the percentage of plants in each size category that must pay that cost are used to generate the
total national household cost distribution.
Step 5: Summation and Presentation of Results
Implementation and E. coli monitoring household costs are applied to all households. Each
technology unit cost is then added to the proportion of households using that technology as the proportion
of overall households incurring that type of cost. The costs for Cryptosporidium monitoring, future E.
coli and Cryptosporidium monitoring, and uncovered finished water reservoirs are added to a portion of
households for each technology. For example, for the ICR occurrence distribution, 51 percent of plants
are required to monitor Cryptosporidium. Therefore, in the household costs distribution, the unit cost for
Cryptosporidium monitoring is added to 51 percent of the plants in each technology. Other types of costs
are similarly apportioned. This procedure results in the non-treatment costs being spread out randomly
over all systems. EPA recognizes that this may not accurately reflect the true distribution of monitoring
and reservoir costs, but the errors introduced are small and it is difficult to predict whether for example
systems with uncovered reservoirs would have to install treatment on their plant as well.
J.3 Household Costs
EPA assumes that increases in system costs stemming from implementation of the LT2ESWTR
will be passed onto customers. Exhibit J.3 presents mean expected increases in yearly household costs by
system size and source water category. These cost increases incorporate costs for rule implementation,
monitoring for bin classification, uncovered filtered water reservoirs, future monitoring for bin changes,
and treatment changes. Household costs are estimated separately for each of the three modeled
Cryptosporidium occurrence distributions.
Households served by systems required to make treatment changes under the LT2ESWTR will
face much larger increases in household water costs than other systems. Costs for only this subset of
households are also presented in Exhibit J.4 to enable separate evaluation. Cost increases to households
served by systems making treatment changes are important for evaluating how the rule will affect annual
household expenditures nationwide.
EPA estimates that 100 percent of the households served by surface and GWUDI sources will
face some increase in household costs due to the LT2ESWTR (except for those very few served by
systems that have already installed 5.5 logs of treatment for Cryptosporidium (see Chapter 4 for a
summary of households served by systems affected by various LT2ESWTR provisions). Approximately
95 percent of the households potentially affected by the rule are served by systems serving at least 10,000
people; these systems experience the lowest increases in costs due to economies of scale. Households
served by small systems that install advanced technologies will face the greatest increases in annual costs
because they are not able to achieve the economies of scale of larger systems.
All households will face costs less than $389 per year. Ninety percent of all households are
predicted to incur costs less than $6.43 per year. Exhibits J.5 and J.6 provide cumulative distributions of
household costs for all systems and for those households in systems adding treatment. Cumulative
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December 2005
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distributions for households in small systems and for small systems adding treatment are shown in
Exhibits J.7 and J.8. Because the cost model limits the selection of UV and other technologies, a very
small fraction of plants are predicted to select MF/UF, the most expensive technology (see Appendix F
for discussion on the decision tree and limits of technology selection). The household cost model further
allows for all combinations of costs for the various rule activities. For example, the combination of
MF/UF, all source water monitoring for first and second rounds, and installing a reservoir cover is
included in the cost model. As a result, a very small fraction (less than 0.1 percent), have high unit
household costs that are not shown on the graphs. EPA believes systems are not likely to incur such
costs.
Exhibit J.3: Summary of Annual Househo
d Cost Increases ($/Year)
Percent of
Percent of
Systems with
Systems with
Household
Household
90th
95th
Cost Increase
Cost Increase
System Type/Size
Households
Mean
Median
Percentile
Percentile
<$12
<$120
ICR
All CWS
68,857,992
$2.59
$0.21
$6.43
$9.97
96.49%
99.99%
CWS < 10,000
5,587,602
$4.14
$0.56
$9.97
$14.79
91.19%
99.88%
CWS < 500
158,900
$13.09
$3.86
$28.66
$53.60
63.20%
98.87%
ICRSSL
All CWS
68,857,992
$1.67
$0.09
$6.37
$6.42
97.96%
100.00%
CWS < 10,000
5,587,602
$2.49
$0.36
$6.60
$9.37
96.46%
99.94%
CWS < 500
158,900
$8.58
$2.91
$17.44
$29.01
72.61%
99.50%
ICRSSM
All CWS
68,857,992
$1.97
$0.09
$6.37
$6.85
97.47%
99.99%
CWS < 10,000
5,587,602
$3.00
$0.49
$7.02
$11.39
95.19%
99.93%
CWS < 500
158,900
$10.10
$2.90
$26.24
$35.97
68.73%
99.31%
ICR
High
All CWS
68,857,992
$2.84
$0.21
$6.43
$9.97
96.09%
99.99%
CWS < 10,000
5,587,602
$4.58
$0.61
$11.50
$15.30
90.22%
99.86%
CWS < 500
158,900
$7.21
$2.91
$16.81
$26.25
75.79%
99.80%
ICRSSL - Low
All CWS
68,857,992
$1.42
$0.03
$5.65
$6.42
98.37%
100.00%
CWS < 10,000
5,587,602
$2.06
$0.23
$6.58
$7.47
97.21%
99.96%
CWS < 500
158,900
$14.42
$4.79
$30.00
$54.42
62.07%
98.58%
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December 2005
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Exhibit J.4: Summary of Annual Household Cost Increases for Plants Adding
Treatment ($/Year)
Percent of
Percent of
Systems with
Systems with
Household
Household
90th
95th
Cost Increase
Cost Increase
System Type/Size
Households
Mean
Median
Percentile
Percentile
<$12
<$120
ICR
All CWS
25,653,938
$6.20
$3.62
$10.99
$18.37
90.69%
99.98%
CWS < 10,000
1,940,775
$10.48
$6.93
$16.69
$20.48
76.11%
99.67%
CWS < 500
54,404
$25.67
$16.76
$54.35
$66.52
44.70%
97.51%
ICRSSL
All CWS
17,769,951
$5.23
$3.62
$9.97
$14.47
92.22%
99.98%
CWS < 10,000
1,260,320
$8.91
$6.58
$14.66
$18.31
86.26%
99.77%
CWS < 500
34,939
$21.40
$16.08
$46.37
$64.34
45.58%
98.15%
ICRSSM
All CWS
20,786,502
$5.50
$3.62
$10.23
$15.22
91.76%
99.98%
CWS < 10,000
1,522,890
$9.19
$6.57
$14.73
$18.37
84.10%
99.76%
CWS < 500
42,445
$22.43
$16.08
$46.42
$64.88
45.45%
97.91%
ICR
High
All CWS
28,234,408
$6.29
$3.62
$11.05
$18.37
90.55%
99.97%
CWS < 10,000
2,165,489
$10.54
$6.97
$16.72
$20.74
76.00%
99.66%
CWS < 500
60,828
$26.30
$16.75
$54.42
$67.67
44.73%
96.92%
ICRSSL - Low
All CWS
14,871,580
$4.99
$3.62
$9.97
$14.37
92.61%
99.98%
CWS < 10,000
1,006,777
$8.87
$6.58
$14.37
$18.37
86.82%
99.77%
CWS < 500
27,693
$ 20.77
$ 16.08
$ 46.32
$ 62.35
45.49%
98.88%
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Exhibit J.5: Cumulative Distribution of Annual Household Costs-All Systems
$100
$90
$70
$50
$40
$30
$20
$10
^2
0% 20% 40% 60% 80% 100%
Percent of Households
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Exhibit J.6: Cumulative Distribution of Annual Household Costs-
All Affected Systems
$100
$90
$70
$50
$40
$30
$20
$10
0%
20%
40% 60%
Percent of Households
80%
100%
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Exhibit J.7: Cumulative Distribution of Annual Household Costs-
All Small Systems
$100
$90
^ $70
.C
O
3
o
X
$50
$40
0)
Q.
O
O
$30
$20
$10
0%
20%
40%
60%
80%
100%
Percent of Households
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Exhibit J.8: Cumulative Distribution of Annual Household Costs-
Affected Small Systems
$100
$90
^ $70
3
o
0)
Q.
O
o
$30
$20
$10
0%
20%
40%
60%
80%
100%
Percent of Households
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Appendix K
Additional Information on the Approach For Valuing Time Losses
K.1 Introduction
As discussed in the main text of this report, the value of averting cryptosporidiosis-related
morbidity is estimated based on information on (1) the medical costs associated with the illness and (2) the
value of time lost due to illness1. This appendix provides a more in-depth discussion of this approach,
describing both the overall selection of the cost of illness (COI) method and the details of the approach
used to value time losses. The appendix focuses on the rationale for the methodological choices made for
this analysis; information on the specific numerical values used to apply this approach are described in
Appendix L.
Appendix K begins by discussing the rationale for relying on COI methods rather than other
measures of social welfare (i.e., willingness to pay (WTP) estimates) for valuing the reductions in risk
from cryptosporidiosis morbidity. This discussion provides a brief introduction to the concept of WTP,
then describes its relationship to COI methods. It next describes the potential applicability of the available
WTP literature to the types of morbidity risks considered in this analysis and the problems with relying on
this literature. EPA's Science Policy Council has also considered these issues and the reader can find
more detail in its Handbook for Non-Cancer Health Effects Valuation.
The appendix then introduces the two approaches used to value time losses in this Economic
Analysis. One approach, the Traditional Cost of Illness (COI), is based on the human capital approach
typically applied in COI studies, focusing on the effect of illness on labor productivity (as measured by
work time lost, whether market or nonmarket). Another approach, the Enhanced COI, attempts to
provide a more complete estimate of the social welfare impacts of time losses due to illness based on the
existing data and literature. The subsequent sections of the appendix then discuss these approaches for
valuing each type of time loss in more detail.
K.2 WTP and COI Approaches
In the context of benefit-cost analysis, the valuation of human health risk reductions is based on
the principles of neoclassical welfare economics2. These principles assume that each individual is the
best judge of his or her own well-being (referred to as "utility" by economists), and that individual
preferences should form the basis of valuing any changes that affect societal welfare.
1 The effect of illness on the use of time is referred to as time losses in this report to separate these effects from
the other social welfare impacts of illness that are evaluated separately. In reality, these losses are shifts in the use of
time from its preferred use to illness-related activities, and hence in economic terms can be more accurately described
as one of the components of utility losses associated with illness.
2
This section provides a brief overview of several topics that are covered in more detail in EPA's Guidelines
for Preparing Economic Analyses (USEPA 2000d).
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In theory, the dollar value of the benefits associated with a risk reduction is most appropriately
measured by determining the change in income that has the same effect on utility (or the level of
individual well-being) as the change in risk. Because utility is impossible to measure directly, economists
typically rely instead on estimates of WTP or willingness to accept (WTA) compensation. WTP is the
maximum amount of money an individual would voluntarily exchange to obtain an improvement (such as a
risk reduction) given his or her budget constraints. WTA is the least amount of money an individual would
accept to forego the improvement. These two measures are not necessarily equal. However, in practice,
economists usually rely on measures of WTP because of concerns about the accuracy and reliability of
the methods available for estimating WTA compensation.
WTP is a different concept than cost or price. "Cost" refers to the resources needed to produce
a good or service; it does not measure the value of the good or service to members of society. "Price" is
determined by the interactions of producers and consumers in the marketplace. For some individuals, the
market price may exceed WTP, in which case they will not purchase the good. For other individuals,
WTP may exceed the current price, in which case these individuals will benefit from the fact that the
market price is less than they are willing to pay.
Estimates of WTP can be derived, however, from price and quantity data for goods that are
bought and sold in the marketplace (i.e., "market goods"). For other, "nonmarket," goods—such as health
risk reductions, economists generally group methods for estimating WTP into two categories. The first
category, "stated preference" methods, involves asking individuals what they would be willing to pay for a
change in health risk or another nonmarket good. The most commonly used stated preference approach
is the contingent valuation method, which involves surveying individuals and asking them how much they
would be willing to pay for a hypothetical nonmarket good given their existing household budget.
The second category of valuation approaches for nonmarket goods includes "revealed
preference" methods, and involves looking at behavior for related goods. One example of these methods
is wage-risk studies, which estimate the change in wages required for riskier jobs, using statistical
methods to control for the many factors other than risk that affect wage levels. Another example of
revealed preference methods is averting behavior models, which consider market goods that are
purchased at least in part to achieve risk reductions—such as bottled water or home filters. These latter
methods are rarely used in practice however, due to difficulties in sorting out the value of risk reductions
from the values associated with other characteristics of the product (e.g., improved taste or convenience).
COI studies differ from these stated and revealed preference methods in that they are a measure
of cost rather than WTP. These studies examine the actual direct costs (e.g., medical expenses such as
doctor visits, medication, and hospital stays) incurred by individuals affected by the illness. The COI
method is relatively easy to apply because: (1) it is well developed, widely used, and easily explained; (2)
many of the types of costs it includes are easily measured; and (3) existing studies provide estimates for a
large number of illnesses. For these reasons, this method is often used in economic analyses despite its
shortcomings as a proxy for WTP.
In general, the logic for using COI methods is that, if illness imposes the costs of medical
expenditures and foregone earnings, then a policy that reduces illness yields benefits equal, at a minimum,
to the costs saved (Tolley et al. 1994). However, COI estimates may underestimate individual WTP
because they do not explicitly address the value of avoiding the pain and suffering associated with the
illness (especially the Traditional COI), nor the costs that individuals incur to avoid the illness (often
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referred to as defensive or averting expenditures)3. In addition, COI estimates do not reflect aversion to
risk, i.e., the effect of fear of illness on WTP. In contrast to welfare measures based on ex ante WTP to
avert health risks, COI measures examine the actual ex post costs to society associated with treating the
health effects. Finally, in cases where treatment does not return people to their original health state, these
methods will underestimate the benefit of avoiding the illness entirely.
COI studies sometimes include indirect as well as direct costs. These indirect costs usually
include lost earnings due to missed market work time, and occasionally include costs associated with lost
nonmarket work (e.g., housekeeping), (both are included in the Traditional COI and Enhanced COI
estimates), and reduced productivity while at work (which is included in the Enhanced COI). Typically,
these costs are estimated using the human capital approach, which (as discussed in more detail later in
this appendix) focuses on the effect of time use on the production of goods and services and ignores other
aspects of time use that affect individual well-being.
Given these concerns, the COI method is an imperfect substitute that is applied in cases where
suitable WTP studies are not available. The following section discusses the available WTP literature and
its relevance to the health risks assessed in this report. It also summarizes studies that have explored the
relationship between WTP and COI for specific health effects.
K.3 Review of the Literature on WTP for Morbidity Risk Reductions
This analysis uses a variant of the COI approach to value reductions in cryptosporidiosis morbidity
risks because of the lack of suitable WTP studies of reasonable quality. EPA conducted several reviews
of the valuation literature and found relatively few studies that address morbidity risks4. Many of these
studies focus on relatively serious and often chronic conditions such as asthma, chronic bronchitis, or
angina; a few consider very minor acute affects such as drowsiness, headache, or eye irritation. In
general, these conditions appear significantly dissimilar to the effects of cryptosporidiosis and, hence, do
not provide suitable valuation estimates for the purposes of this analysis.
Of particular interest are two inter-related studies of nausea (as well as other minor health
symptoms) that were completed by overlapping groups of researchers in 1984-1985 in Chicago and
Denver.
• Based on a contingent valuation survey, Berger et al. (1987) explored individual WTP to
avoid one additional day of nausea. The authors report results only for the 17 individuals
sampled who had experienced the symptom, and found a mean value of $48 per day (dollar
year not reported).5
3
COI estimates may, in some limited cases, overstate WTP-for example, because the availability of insurance
may lead people to agree to treatments that they would not willingly finance themselves.
4 See, for example, EPA's Handbook for Non-Cancer Health Effects Valuation (USEPA 2000f). The literature
review in the Handbook was updated and extended to include cancers in: Industrial Economics, Incorporated,
(unpublished).
5 Assuming that the estimate is for the year 1985, the year 2000 equivalent is $77 per additional day, inflated
using the Consumer Price Index for all Urban Consumers (CPI-U).
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• Another contingent valuation study by Tolley et al. (1986) also considered nausea, described
as a "lingering urge to vomit" with strong distress, but no pain. The mean value for avoiding
one additional day of nausea was $50 (dollar year not reported) among the 176 respondents6.
Both estimates appear unsuitable for the analysis of cryptosporidiosis morbidity risks in terms of
both applicability and quality, based on EPA guidelines for determining whether benefits estimates are
suitable for transfer to other contexts7. First, they describe a symptom that is substantially less severe
than the suite of symptoms typically associated with cryptosporidiosis, which often involves several days
of diarrhea, abdominal cramping, fever, and vomiting, as well as nausea. Second, Berger in particular
relies on a small sample that may not be representative of the U.S. population (or of the subset of this
population affected by this rulemaking), and may be best described as a pilot or illustrative study8. Given
the more severe symptoms associated with cryptosporidiosis, WTP to avoid cryptosporidiosis is likely to
exceed the WTP values for nausea found in these studies.
Due to the lack of suitable WTP estimates, this report instead relies largely on COI estimates
from the studies cited in the main text. These studies have the advantage of directly addressing
cryptosporidiosis or illnesses that have very similar health effects (i.e., giardiasis). However, they are
likely to underestimate individual WTP for risk reductions. Research on the ratio of WTP to COI
estimates suggests that the ratio of these values varies greatly depending on the nature of the health
effect, the characteristics of the affected individuals, and the factors included in constructing each
estimate. The resulting WTP to COI ratios for the illnesses studied range from about a factor of 2 to as
much as a factor of 79 (in one case); many of the ratios are between 3 and 69. In other words, the COI
estimates are typically one-third to one-sixth of the WTP estimates. Much of this literature focuses on
individual (out-of-pocket) costs of illness rather than the full costs (including costs paid by insurers), and
considers relatively minor health effects (where the costs borne by insurers may be minimal). Few of
these studies include lost earnings or other indirect costs in the COI estimates, and instead focus largely
on medical expenditures.
The approach used to estimate medical costs in constructing the COI estimates used in this report
is discussed in detail in Chapter 5 and Appendix L. The remainder of this appendix focuses on the
approaches used in this Economic Analysis to value lost time. As discussed below, this approach uses
both a traditional approach (that is, similar to other studies) and an "enhanced" approach, which is a
significant departure from the approach typically used to value time losses in the COI literature because it
attempts to provide a more complete measure of the effects of lost time on social welfare.
6 Assuming that the estimate is for the year 1985, the year 2000 equivalent is $80 per additional day, inflated
using the CPI-U.
-J
See, for example, Chapter 7 of EPA's Guidelines for Preparing Economic Analyses (USEPA 2000d) and
Chapter 4 of EPA's Assessing the Benefits of Drinking Water Regulations (USEPA 2001a).
o
EPA has used Tolley et al. (1986) to value respiratory effects associated with minor restricted activity days
associated with air pollution; for these effects, other studies are available that appear to support the Tolley et al. findings.
See, for example, the approach applied in EPA's Final Heavy Duty Engine/Diesel Fuel Rule: Air Quality Estimation,
Selected Health and Welfare Effects Methods, and Benefits Results (USEPA 2000g), pp.4-32.
9 See Appendix B of EPA's Handbook for Non-Cancer Health Effects Valuation (USEPA 2000f) for a review
of these studies.
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K.4 Welfare Effects of Time Losses Due to Illness
Much of the research on the value of time losses due to illness focuses on the effects of such
losses on the production of goods and services by the affected individuals. In the context of benefit-cost
analysis, analysts are interested in a more complete measure of the welfare effects of these time losses.
As discussed by A. Myrick Freeman III (1993) in his seminal work on benefits valuation:
The economic concept of value employed here has its foundation in neoclassical
welfare economics. The basic premises of welfare economics are that the
purpose of economic activity is to increase the well-being of individuals who
make up society, and that each individual is the best judge of how well off he or
she is in a given situation. Each individual's welfare depends not only on that
individual's consumption ofprivate goods and of goods and services produced
by the government, but also on the quantities and qualities each receives of
nonmarket goods and service flows....
In this context, analysts are concerned with the effect of illness on foregone market production
(paid work), foregone nonmarket production (e.g., volunteer or household activities), and any additional
diminished utility (or sense of well-being) associated with market work, nonmarket work, and leisure
activities. Analysts are also concerned with the impacts on other individuals such as dependent children
or nonmarket caregivers.10
In contrast, most of the work on valuing time losses has been completed in the context of
estimating the market impacts of illness, focusing on the ill individual. In this context, lost time generally
has been measured using the human capital approach, which views individuals as mechanisms of
production; i.e., as capital. Under this approach, an individual is valuable to the extent that he or she
produces goods or services, and the value of his or her marginal product is equal to the compensation
provided11. The analyst is generally not concerned with other (nonmarket) factors affecting individuals'
sense of well-being (except, of course, if they affect market productivity). To again cite Freeman (1993):
The human capital approach is fundamentally at odds with the individualistic
perspective of welfare economics and the theory of value. By in effect asking
what the individual is worth to society, the human capital approach ignores the
individual's own well being, preferences, and willingness to pay.
One approach to developing a more complete measure of the value of lost time would be to rely
on estimates of individual WTP to avoid the time losses. While the WTP literature includes some studies
that address time losses directly or indirectly, these studies are of limited relevance to the types of time
losses discussed in this report, as discussed below.
Some WTP studies include explicit information on time losses when eliciting the value of averting
particular health effects. For example, Rowe and Chestnut (1986) surveyed 90 asthmatic individuals in
10 Paid care is included in the medical cost component of the analysis and, hence, is not discussed in the
section on time losses.
11 This approach implicitly assumes that labor markets are in equilibrium and that there is little or no
unemployment (i.e., workers cannot be replaced).
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1983 to estimate their WTP for a program that would reduce their bad asthma days. The survey elicited
information on the effects of asthma on work, school, chores, and leisure activities. However, the authors
ask the respondents to report their WTP for a program to decrease bad asthma days; an estimate of
WTP to avoid time losses is not reported separately.
Researchers interested in valuing the availability of recreational activities also consider time costs
in the context of recreational demand, or travel cost, studies. These studies typically value time spent
traveling to a recreation site at a fixed fraction of the individual's wage rate, which represents the
disutility associated with travel12. The precise fraction of the wage rate used to value travel time costs
has ranged from zero to one in published empirical studies. Unfortunately, these studies are focused on a
particular use of leisure time, i.e., for travel. The resulting estimates are, therefore, not necessarily
applicable to other types of leisure activities.
Another potentially relevant approach is assessing the value of restricted activity days. These
days are generally defined as time periods when individuals find that their activities are more limited than
normal due to illness or other factors. This concept is frequently applied in the context of assessing health
effects associated with air pollution. For example, researchers have linked self-reported data on activity
restrictions to data on air pollution levels to estimate the effects of this pollution on normal activities.
Information on WTP for avoiding these restrictions (derived from studies of minor respiratory symptoms)
is then applied to the estimates of activity-restricted days to determine their value13. However, this value
will vary depending on the type and severity of the activity limitations, as well as the nature of the health
effects experienced. As noted earlier, sparse information is available on WTP to avoid the types of health
effects or activity restrictions associated with cryptosporidiosis. In the absence of this information, it is
not possible to apply this approach to the health effects considered in this report.
This analysis instead relies on wage and compensation data to estimate opportunity costs to the
individual and society, due to the lack of applicable studies that estimate WTP for time losses due to
illness. The opportunity cost approach recognizes that, because resources are limited, any decision to use
resources for one purpose means that they cannot be used for other purposes. Hence, the value of the
resource can be determined based on the value of its next best use. This approach is likely to understate
the full value of time losses, since individuals may hold values that exceed the opportunity costs
represented by measures of compensation.
The use of wage and compensation data to estimate opportunity costs is consistent with the basic
principles of welfare economics and is explored in detail in the labor economics literature. For example,
as summarized in the Gold et al. (1996) study of "best practices" for cost-effectiveness analysis:
The fundamental assumption of this literature is that people will take their
opportunity cost into account when allocating their time, choosing to devote it
to the activities that produce the greatest utility. They will work an extra hour,
12
Travel cost studies are focused on the costs (or negative impacts) associated with traveling longer distances.
They assume that travel time has some positive effects (or utility), otherwise time costs would be valued at the full wage
rate (i.e., as a complete loss).
13
See, for example, the approach applied in EPA's Final Heavy Duty Engine/Diesel Fuel Rule: Air Quality
Estimation, Selected Health and Welfare Effects Methods, and Benefits Results (USEPA 2000g).
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for example, if the compensation they receive exceeds the value they place on
their time in other activities.
The application of the opportunity cost approach to estimate the value of lost market (paid) work
time is relatively clear, since compensation can be used to estimate these costs. For other (unpaid) time
spent in nonmarket work or leisure activities, wage data are also used based on the assumption that (at
the margin) the wage represents the opportunity cost of engaging in such activities14. To again cite Gold
et al. (1996):
The labor-leisure trade-off which is at the heart of the theory of labor supply,
illustrates the method used to value time which is not spent at work: if there is
perfect competition; if workers and employers are perfectly well informed; if the
worker has declining marginal utility of leisure time (i.e., the more time spent
away from work, the lower the value of each incremental increase in leisure
time) and diminishing marginal utility of income; and if the quantity of labor
supplied in the market is continuously variable, then the worker "consumes "
leisure time up to the point at which the value of an additional hour of leisure
equals the (hourly) wage that he or she can receive by working.
As indicated by this quote, the use of wage data to estimate opportunity costs is based on a
number of simplifying assumptions regarding the operations of labor markets and the process by which
individuals choose among different activities. In addition to the limitations cited above, this approach
assumes that an individual has complete flexibility in choosing the number of hours he or she spends in
paid work, whereas in reality employers may be willing to provide jobs only for set increments of time
(e.g., 40 hours per week). In its simplest form, it also does not take into account a number of complexities
related to how individuals are actually compensated, such as the difference between hourly and salaried
employees and variation in how benefits are determined.
In addition, relying on wage data for valuing lost time presents difficulties in the case of individuals
for whom these data are not available, such as children, the unemployed who are seeking employment,
and those out of the labor market. It also can be difficult to define a value when there are trade-offs
between two uncompensated activities. Perhaps most important, the use of wage rates may understate
the total utility associated with the activity even in the case of paid work, because individuals may derive
intrinsic pleasure from the activity above and beyond the income they receive.
The use of compensation data to value time losses and its limitations are explored in detail in the
following sections of this appendix. The following section describes the compensation measures used for
each time use category (market work, nonmarket work, leisure, and sleep), the next section then
considers issues related to those populations for whom wage data are not available.
14 For a more detailed and technical discussion of the use of opportunity costs, see Posnett et al. (1996).
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K.5 Approach for Each Time Loss Category
This appendix discusses four types of normal time use:
• Market (paid) work time
• Nonmarket (unpaid) work time
• Leisure time
• Sleep time
These time loss categories are briefly defined in Exhibit K. 1 below.
Exhibit K.1: Definitions of Time Loss Categories
Category
Definition
Market Work
Time
Time that an individual spends engaged in productive activity in exchange for a salary
or wage at a price set in the labor market.
Nonmarket
Work Time
Time spent on productive work without monetary compensation in the home (e.g.,
housework) or outside the home (e.g., volunteer work).
Leisure Time
Time spent engaged in activities other than market work, nonmarket work, or sleep.
Sleep Time
Time spent sleeping.
As discussed in detail in the main text of this report, cryptosporidiosis often involves several days
of diarrhea, abdominal cramping, fever, and vomiting, as well as nausea. Many characteristics of this
illness are of particular importance when considering the approach to valuing time losses in each of these
four categories. Specifically, the valuation approach needs to accomplish the following:
• Consider time losses associated with morbidity, not mortality because other, well-established
valuation methods are applied to mortality risks.
• Apply to acute, not chronic, illnesses, that generally result in a temporary rather than
permanent change in activities.
• Address illnesses that may lead individuals to both spend fewer hours engaged in normal
activities, and have a lower level of productivity or utility when they continue normal
activities.
• Consider effects that may occur throughout the day, potentially affecting all types of time
usage.
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• Apply to individuals of all ages that may be affected by this illness, including the very old and
the very young.
• Reflect the need of some ill individuals for the attention of a caretaker (i.e., a friend or
family member, not a paid health care provider) for a portion of the time while they are ill.15
Because empirical research on the value of time is limited, this analysis relies primarily on data on
compensation as a proxy for the value of lost time. The specific approach for each of the four time loss
categories is summarized in Exhibit K.2.
Exhibit K.2: Overview of Valuation Approach
Time Loss Category
Approach for Estimate of Value
Enhanced COI
Traditional COI
Market Work Time
Gross (pre-tax) wage plus benefits, reflecting both the wages received by the
individual and the value of his or her product to the employer and society
Nonmarket Work Time
Net (post-tax) wage, based on the
opportunity costs to the individual
Half the net (post-tax) wage, based
on the replacement cost of labor
Leisure Time
Net (post-tax) wage, based on the
opportunity costs to the individual
Not included
Sleep Time
Zero, due to lack of information on the dollar value
In this analysis, lost market work time is valued at the pre-tax wage rate plus benefits. Using the
Enhanced COI estimate, lost nonmarket work and leisure time are valued at the post-tax wage rate. The
Traditional COI estimate values nonmarket work time at half the net post-tax wage rate, and does not
include a value for leisure time. Lost sleep time is conservatively valued at "zero." Losses are assessed
for nonmarket caretakers whose normal activities are affected by illness as well as for the ill individual.
In the Enhanced COI estimate, these values are applied to both complete losses of time (time
spent in illness-related activities rather than normal activities), as well as to partial losses (time spent in
normal activities that are less productive or pleasurable than in the absence of illness). In the latter case,
however, the dollar value of the loss is prorated to reflect the fact that the individual does not completely
lose the productivity or utility associated with the activity. In the Traditional COI estimate, these values
are applied only to complete losses of time (time spent in illness-related activities rather than normal
activities), because less productive time is not included.
Both of these approaches are likely to understate the utility of time spent in its preferred use (i.e.,
of normal activities in the absence of illness) for variety of reasons16. Individuals may place a value on
15 Paid care is covered in the medical cost estimates rather than in the time loss estimates.
16 There are a number of simplifying assumptions inherent in the application of this approach that may lead it
to further under- or over-state the value of time in its preferred use, related to factors such as the functioning of the labor
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market work that exceeds total compensation because of the effect of working on their sense of well-
being. For nonmarket work and leisure, the value of the activity to the individual may exceed the
opportunity cost for similar reasons. In addition, nonmarket work and other activities can provide benefits
to other members of society that are not reflected in the individual wage rate. Finally, neither approach
includes the value of sleep.
However, it is unclear whether the use of these estimates over- or under-state the disutility, or
loss, associated with illness; i.e., the loss associated with spending time in illness-related, rather than
normal, activities. In some cases, it seems reasonable to assume that the illness-related activity
represents a complete loss of utility (e.g., time spent coping with a bout of diarrhea rather than working).
For these losses, the approaches used in this report will understate the value of the loss, as discussed in
the prior paragraph. In other cases, the illness-related activity may have some utility (e.g., time spent
watching TV or reading instead of working) that is less than the utility of the preferred activity, but
greater than "zero." Even in this case, there would likely be some offsetting utility losses from the
discomfort and stress of being sick. In these cases, the actual amount of the loss could conceivably be
less than the estimates used in this analysis. The basis for these approaches is described in more detail
below.
K.5.1 Lost Market Work Time
In a social welfare context, the value of marginal changes in market work time has two
components: (1) the value of the time loss to that individual, and (2) any additional value to the rest of
society. In this analysis, lost market work is valued at the median gross (pre-tax) wage rate plus benefits,
also referred to as total compensation or employer's costs17. This approach is most representative of the
full social impact of lost work time because it incorporates both the loss to the individual in terms of lost
income and the loss to society in terms of reduced tax revenue or decreased production of goods and
services.
This approach recognizes that, when an individual misses work or is less productive due to illness,
he or she loses the associated utility. This loss is, in part, measured by income, which the individual can
trade for goods and services. However, income is an incomplete measure of value, because the individual
may derive utility from working that exceeds post-tax wages or take home pay. Hence the post-tax wage
rates provide a lower bound estimate of the value of paid work time from the individual perspective.
This approach also recognizes that the employer (and society) loses the value of the individual's
productivity, and that this value exceeds the value of the post-tax wages received by the employee. From
the employer's perspective, the value of the individual's productivity is equal at minimum to his or her total
market, the treatment of individuals who are not labor force participants, and the use of average or median, rather than
marginal, earnings data. It is unclear whether, in total, these practical limitations serve to increase or decrease the bias
that results from the sources discussed in this paragraph.
17
Embedded in this approach are a number of assumptions (discussed earlier) regarding the operations of the
labor market and the factors that influence individual choice. In addition, the actual effect of missed work time will vary
depending on how individuals are compensated; e.g., on whether they are salaried or hourly employees and on whether
they receive sick leave or disability payments. For example, if the individual has access to paid sick leave, a marginal loss
of work time (within certain limits) will not result in an immediate loss of income. However, a loss will accrue to the
employer, who must pay wages without the benefit of the worker's productivity. The individual also has the ability to
save this sick leave for another time.
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compensation (pre-tax wages plus benefits). This perspective is similar to that of the human capital
approach, which assumes that an employer would not pay more to an employee, in salary plus benefits,
than that employee is worth to the company (i.e., the value of the employee's marginal product) and
hence to society18. Some of this value is reflected in the employee's take home pay, the remainder
accrues in terms of taxes paid and reflects the value of product created above and beyond what is
reflected in pre-tax wages.19
Ideally, the estimates used in this analysis would reflect the value of marginal changes in work
time, since the impacts of cryptosporidiosis-related morbidity are likely to be acute and temporary. In
other words, affected individuals may work fewer hours or be less productive while working for a limited
period of time, but are not likely to change employment or become unemployed as a result of the illness.
Empirically, analysts generally use estimates of average or median compensation as a proxy for marginal
rates due to difficulties inherent in determining the marginal rates relevant to the particular impact under
consideration20. Data on average and median U.S. compensation rates are easily accessible and
frequently updated in a number of publications.
K.5.2 Lost Nonmarket Work, Leisure Time, and Sleep Time
In this analysis, two alternative measures are used to value nonmarket work and leisure time. In
the Enhanced COI estimate, net (post-tax) wages are used to estimate the value of both lost nonmarket
work and leisure time. In the Traditional COI estimate, the value of lost nonmarket work time is half the
post-tax wage, and no value is assigned to leisure time.
While the distinctions between market work and sleep are relatively easy to distinguish, the line
between nonmarket work and leisure is often difficult to draw21. In general parlance, nonmarket work
refers to activities that are undertaken primarily because they are productive, whereas leisure refers to
activities that are undertaken primarily for the pleasure of the individual. However, this distinction is hard
to apply in practice. Some nonmarket tasks seem clearly productive, such as doing the laundry or
vacuuming, but individuals may also derive pleasure from these tasks. Other activities, such as childcare
or gardening, encompass aspects of both productive work and of leisure.
18
A number of COI studies use lost earnings to estimate indirect costs. For example, the total compensation
approach is used in Buzby et al. (1996), Rice et al. (1992), and Waitzman et al. (1996).
19 For a recent discussion that indicates that illness-related losses of work time can substantially exceed the
wage rate, see: Pauley et al. (2002).
20
Hartunian et al. (1981) and others argue that average wages are a reasonable approximation of the value of
lost production in most industrialized countries.
21
A number of groups have been working on approaches for measuring and categorizing different types of time
usage, as summarized in National Research Council (2000).
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Nonmarket Work
One of the two alternative measures used in this analysis to value nonmarket work time is the net
(post-tax) wages, which are used to estimate the value of lost nonmarket work in the Enhanced COI
estimate. If illness affects an individual's ability to engage in nonmarket work, he or she loses the value
of his or her own productivity. Presumably, that individual chooses to engage in nonmarket rather than
market work because, at the margin, the utility (productivity plus any additional enjoyment) from
performing nonmarket work was greater than the utility (as represented by income) that he or she would
have gained from market work22. Therefore, that individual must value a marginal hour of his or her
nonmarket work time at a rate at least equal to the marginal net wage per hour he or she could have
earned in the job market23. It is not unreasonable to assume that on average (across all these individuals),
the opportunity costs for these individuals would be similar to the opportunity costs for employed
individuals. To a large extent, these individuals may choose to be out of the labor market because they
value their time at a rate that exceeds the compensation they would receive by working. More research
would be needed to confirm the extent to which this assumption is supported by detailed studies of the
factors that affect decision-making by these groups. As before, this approach involves a number of
simplifying assumptions regarding the functioning of labor markets and the choices faced by individuals,
but provides one reasonable proxy for how this time is valued. This is the basis used in the Enhanced
COI estimate.
The Traditional COI estimate has a different basis. The approach advocated most frequently in
the literature to distinguish between market and nonmarket work, particularly in the context of adjusting
national accounts to include nonmarket work, relies on estimates of replacement costs rather than
estimates of opportunity costs and is known as the "third person" or "market replacement" criterion. This
approach is used largely because of the emphasis of these studies on measuring productivity rather than
utility24. Under the human capital approach, time spent engaged in nonmarket labor activities is
considered productive, due to the fact that activities such as childcare, cooking, and general home
maintenance—if not performed by a member of the household—could be performed by a professional in
return for compensation (i.e., as market labor). As defined by Reid (1934), "If an activity is of such a
character that it might be delegated to a paid worker, then that activity shall be deemed productive."25
Tasks that can only be performed by the individual himself (or herself) are included in the leisure
category. Therefore, gardening and childcare would be viewed as nonmarket work, whereas watching
television would be considered a leisure activity.1'
22
For more detailed surveys of different approaches for valuing nonmarket work time, see Goldschmidt-
Clermont (1982) and Gronau (1986).
23
Benefits are conservatively left out of this calculation, under that assumption that marginal changes in the
number of hours worked would not affect the total amount of benefits received.
24 For example, a series of studies funded by the Australian Bureau of Statistics focus on adding the value of
nonmarket work to national accounts and use the replacement cost method for this purpose. See, for example, Trewin
(October 2000).
25 As cited in Goldschmidt-Clermont (1982), p. 4.
26 Time use researchers have been attempting to develop classification schemes that can be used internationally
for these types of studies. Many refer to four general categories: contracted time (paid work plus education and
training), committed time (nonmarket work, including housework, shopping, and volunteer work), necessary time
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In some studies, housekeeper wage rates are used to value the productivity of nonmarket labor27.
This is the measure used to value lost nonmarket work time for the Traditional COI. The value used is
half of the after-tax wage. The use of 50 percent of the wage rate is consistent with a practice common
in the human capital literature of valuing nonmarket work time at the market rate for domestic workers28.
Because this approach may undervalue the true productivity of this labor due to the wide range of
activities undertaken in addition to housekeeping (e.g., cooking, childcare, and home repairs), other studies
use market value composite rates. This alternative approach would involve developing a composite of the
wage rates paid to individuals employed in the labor market to perform the various activities typically
associated with nonmarket labor (e.g., cooks, daycare providers, maids, nannies, and handymen).29,30 In
some applications, this approach has been expanded to also include volunteer work31.
Leisure
For the Enhanced COI estimate, the approach used to value lost leisure time is the same as that
applied to nonmarket work. This approach reflects two considerations: (1) the difficulties inherent in
developing a clear-cut distinction between hours spent in nonmarket work and leisure as noted above, and
(2) the assumption that, at the margin, an individual will choose to engage in nonmarket work or leisure
activities only if the value of these activities exceeds the wage rate that the individual would otherwise
earn. The individual presumably chooses to engage in activities other than market work because, at the
margin, the utility gained from these other activities is greater than the utility gained from market work.
This approach is a simplification of how individuals are likely to view leisure time. Leisure activities are
undertaken for a number of different purposes—e.g., to relax, for exercise, or to maintain emotional
connections with loved ones. Some leisure activities involve extensive planning and travel time, like major
vacations, while others, like watching television, require almost no planning, travel, or even thought.
Hence, in reality the utility of leisure is likely to vary depending on the activity affected. Even with these
uncertainties, the opportunity cost approach provides a more complete measure of the value of time losses
from the perspective of the individual as well as society. This approach is supported by the travel cost
(personal care, including sleep), and free time (religious, cultural and civic participation, social time, sports, hobbies, and
mass media). (See, for example, Ministry of Women's Affairs, Statistics New Zealand (1999).) These classification
schemes differ somewhat from the categories used in the report, and require more detailed data on the types of time uses
affected than are available for this analysis.
27
A pioneering example of this approach is presented in Rice (1966). A more recent example, which uses data
on the value of housekeeping services based on Current Population Survey data from the Bureau of Labor statistics, is
Ray et al. (1998).
28 A pioneering example of this approach is Rice 1966; a more recent example is Thamer et al. (1998).
29
One early demonstration of this market value approach is Cooper et al. (1976). A more recent approach is
provided in Hoffman et al. (1976), which uses values based on research reported in Douglas et al. (1990). Another recent
example is Ray et al. (1998).
30 Trewin (2000, p.24) notes that the replacement cost approach "...is based on the key assumption that
household members and market replacements are equally productive in their work activities.... In practice it is difficult
to identify exact matches between household work activities and occupations...."
31 See, for example, Trewin (2000).
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studies noted earlier, which suggest that even relatively mundane forms of leisure (such as travel time)
may have utility that approaches the wage rate. The fact that workers often demand a higher hourly
wage for "overtime" work further supports the notion that the marginal value of nonmarket work and
leisure time exceeds the usual wage rate.
Leisure time is generally not valued in COI studies due to the emphasis of these studies on
measuring productivity rather than utility. While leisure time may have some impact on an individual's
productivity, this impact is believed to be largely captured in the valuation of market and nonmarket work.
From the human capital perspective, including a separate value for leisure runs the risk of double-
counting. The loss of leisure time is not included in the Traditional COI estimate.
Lost Sleep Time
Sleep time presents special problems in this analysis, in part because data on the effect of
cryptosporidiosis-related morbidity on the amount or quality of sleep time are not available. In addition,
sleep is rarely valued in the literature due to problems related to determining its dollar value. Sleep time is
not addressed in most COI studies because (like leisure) its effect on productivity is believed to be largely
captured in the value of market and nonmarket work time.
However, from an opportunity cost perspective, it is possible to argue that lost sleep should be
valued at the wage rate. For example, assuming that some minimal level of sleep is necessary, sleep time
missed at night may be made up through daytime naps. These naps in turn may displace some of the time
the individual would otherwise spend engaged in leisure, nonmarket work, or market work activities.
This analysis conservatively assumes that lost sleep time has zero value. Given that individuals
derive utility from sleep and, thus, are likely to value it at a rate greater than zero, this approach will
understate the value of related time losses.
K.6 Special Considerations
Several sub-groups of the population present specific valuation challenges, because they often do
not engage in market work and hence wage rate data may not be an appropriate measure of the value of
their time losses due to illness. These groups include the following.
• Children: Children do not generally engage in market work, and wage rate data are not
generally collected for those who do. The definition of "child" can vary, but the age cut-off is
usually at 16 or 18 years of age. The Bureau of Labor Statistics does not collect employment
data on individuals under the age of 16.
• Elderly Individuals: As individuals age, they generally leave the work force. However,
retired persons may value their time differently than younger workers who are out of the
labor force due to the availability of pensions and Social Security. These individuals may lose
benefits if they increase their job-related income.
• Unemployed Individuals: Individuals not currently engaged in market work, but actively
seeking employment, would prefer to earn a wage, but are not currently doing so.
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• Individuals Not in the Labor Force: Individuals not currently engaged in market work, and
not seeking employment, presumably value their time at a rate higher than the earnings they
could gain from paid employment. However, at times they may be engaged in nonmarket
work (such as child care) where the cost of hiring a replacement worker exceeds the amount
they could earn as a member of the labor force.
The approach taken in this analysis is to value all time losses at rates applicable to adult wage
earners (or their theoretical adult replacements in the case of the Traditional COI's estimate for the value
of nonmarket work time).
Valuation of the effects on children present a number of difficult challenges related to the fact
that children are not ?economic actors" who can answer valuation questions or engage in market activities
that reflect their own preferences. Under the human capital approach, the primary issue concerning the
valuation of children's time losses is that of double counting. Analysts assume that time spent in school or
other productive activities will be reflected in future earnings, and generally assign a value of "zero" to
childhood time losses.32
However, from a social welfare perspective, children can be profoundly affected by illness.
These effects may be direct—i.e., children may be unable to engage in normal activities because they are
ill; or they may be indirect—i.e., children may receive a lesser quantity or quality of care due to the illness
of their caretakers. The dollar values of these impacts are highly uncertain.
For the other groups listed above, the challenge is largely the absence of compensation data as a
proxy for opportunity costs. Whether the approaches taken in this analysis under-state or over-state the
value of time for these individuals is uncertain.
32
Although an argument can be made for including the discounted present value of any decrease in future
earnings, the types of acute illnesses considered in this analysis are not likely to have a measurable impact on future
earnings.
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Appendix L
Calculations Supporting the Cost of Illness (COI) Analysis
L.l Introduction
This appendix presents data and calculations that the Economic Analysis (EA) uses to estimate
the monetized morbidity benefits of the Long Term 2 Enhanced Surface Water Treatment Rule
(LT2ESWTR) rule. The resulting data are used in Chapters 5 and 8. The general methodology for using
a cost of illness (COI) approach is presented in Appendix K. Appendix L applies that methodology,
identifies the data from other sources that are used, and describes the methodology used to estimate the
duration of illness for moderate and severe cases of cryptosporidiosis. The approach used to value
reductions in nonfatal cases of cryptosporidiosis combines estimates of the medical costs of illness with
estimates of the value of related time losses under two sets of assumptions: the Enhanced and Traditional
COI. Many of the values in the analysis rely on data from the 1993 Milwaukee outbreak of
cryptosporidiosis collected by Corso et al. (2003) and MacKenzie et al. (1994, 1995).
MacKenzie et al. (1994) conducted two random telephone surveys after the outbreak—one of
just the area served by the Milwaukee Water Works, and one of the greater Milwaukee area. The first
survey asked participants what symptoms they had, how long the symptoms lasted, and whether they
sought medical care. The second survey asked similar questions but correlated cases with zip code to
determine where in the metropolitan area cryptosporidiosis was most prevalent. In a separate study,
MacKenzie et al. (1995) conducted a telephone survey of people to determine the percentage of people
who experienced a recurrence of cryptosporidiosis. The authors separately surveyed Milwaukee
residents and nonresidents who had visited the Milwaukee area briefly during the outbreak. Using
nonresidents ensured that any recurrence was probably not due to additional Cryptosporidium exposure
from drinking water or secondary transmission but was actually a recurrence of the initial illness.
Recurrence in visitors was found to be similar to that in Milwaukee residents (21 percent).
Corso et al. (2003) reviewed medical and financial records to determine direct medical costs for
people with mild, moderate, and severe illness. To calculate the cost of the outbreak, they then multiplied
these costs (as well as lost work costs) by the total number of people estimated to fall into each category,
based on MacKenzie et al. (1994) estimates of the number of people affected by the outbreak. Corso et
al. reviewed about 2,000 records from 11 of 14 hospitals in the area, searching for laboratory-confirmed
cryptosporidiosis cases, as well as cases of diarrhea lasting at least 2 days. From the records, they also
collected data on ambulance use, self-medication prior to admission or emergency room visit, doctor visits
prior to hospitalization, and physician-prescribed medication. They found 155 cases that met the definition
of moderate illness and 223 that met the definition of severe illness. Hospitalization costs for those with
severe illness included costs for diagnostic services, laboratory tests, technical services (e.g., physical or
respiratory therapy), attending physician and nursing staff, medication, supplies, the hospital room, and
emergency room services. These charges do not include costs for specialists, due to insufficient data.
Corso et al. also obtained costs for ambulance transport and physician visits from the Milwaukee Health
Department. Where necessary, the authors converted charges to actual costs using a charge-to-cost ratio
of 0.67.
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These studies had the advantage of being based on cryptosporidiosis, the same illness of concern
in this EA. The telephone surveys were conducted within a month or two of the outbreak, so participants'
recollections of their symptoms and duration of illness were still good. However, self-reported results are
considered less accurate than those documented by professionals. EPA contacted the authors to ask for
the original survey data, hoping to get information on duration of illness and age of those infected, but data
were no longer available.
L.2 Related to the Cost of Cryptosporidiosis
Some of the most directly relevant data for this COI estimate derives from the outbreak of
cryptosporidiosis in Milwaukee in 1993. MacKenzie et al. (1994) conducted two random telephone
surveys after the outbreak—one of just the area served by the Milwaukee Water Works, and one of the
greater Milwaukee area. According to Corso et al. (2003), based on the survey data, 88 percent of those
who reported cryptosporidiosis symptoms experienced mild illness, 11 percent had moderate illness, and 1
percent had severe illness (these statistics are not actually reported in MacKenzie et al.). The severity of
illness was defined as follows.
• mild: the person did not seek medical care for the illness, but may have taken over-the-
counter medication
• moderate: the person had one or more outpatient visits to a physician or emergency room, but
the person was not hospitalized
• severe: the person was hospitalized one or more times.
Corso et al. reviewed medical and financial records to determine direct medical costs for people
with mild, moderate, and severe illness. To calculate the cost of the outbreak, they then multiplied these
costs (as well as lost work costs) by the total number of people estimated to fall into each category. Corso
et al. reviewed about 2,000 records from 11 of 14 hospitals in the area, searching for laboratory-
confirmed cryptosporidiosis cases, as well as cases of diarrhea lasting at least 2 days. From the records,
they also collected data on ambulance use, self-medication prior to admission or emergency room visit,
doctor visits prior to hospitalization, and physician-prescribed medication. They found 155 cases that met
the definition of moderate illness and 223 that met the definition of severe illness. Hospitalization costs for
those with severe illness included costs for diagnostic services, laboratory tests, technical services (e.g.,
physical or respiratory therapy), attending physician and nursing staff, medication, supplies, the hospital
room, and emergency room services. These charges do not include costs for specialists, due to
insufficient data. Corso et al. also obtained costs for ambulance transport and physician visits from the
Milwaukee Health Department. Where necessary, the authors converted charges to actual costs using a
charge-to-cost ratio of 0.67.
The cost of hospitalization for severe cases varied depending on whether the patient had AIDS or
an underlying condition. For those with no underlying condition, hospital costs were only $3,131 in 1993$.
For those with an underlying condition other than AIDS, hospitalization costs averaged $5,520. For those
with AIDS, the average hospitalization cost was $17,388. These differences are due at least partly to
longer hospitalization periods for patients with underlying conditions. The weighted average cost for
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hospitalization came to $6,312 (1993$). Note that for this EA, the cost of hospitalization was modified to
separate out the cost of emergency room visits (see Exhibit L.l).
For this EA, EPA used Corso et al. data for per-illness medical costs but conducted a separate
analysis for lost work and productivity. Costs used from the Corso et al. (2003) study are presented in
Exhibit L.l and are averages per illness (in 1993 dollars).
Exhibit L.1 Cryptosporidiosis Cost-Related Data From Corso et al. (2003)
Cost Category
Mild
Moderate
Severe
Number of Days Lost1 (Mean days)
1.3 days
3.8 days
13.5 days
Duration of Illness
4.7 days
see L.4
see L.4
Number of Days Lost for Caregivers2
0.1 day
1.3 days
3.9 days
Percent Taking Medication Before Health Care
30%
30%
29%
Average Total Cost of Medication for Those Taking
Medication Before Health Care3
$5.73
$5.92
$6.74
Percent That Visited a Physician4
NA
95%
29%
Cost of a Physician Visit
NA
$45
$45
Percent Taking Medication after Health Care
NA
54%
48%
Average Total Cost of Medication Taken after Health
Care for Those Taking Medication
NA
$8.91
$70.52
'Number of days lost does not include number of days lost due to recurrence of cryptosporidiosis.
Respondents provided estimates of days of normal activities lost due to illness.
2Number of days lost does not include any days lost due to the recurrence of cryptosporidiosis. Estimates
of days lost for mild and moderate cases are averages from survey respondents. The days lost for caregivers
assisting severe cases was an estimate based on half the duration of the hospital stay.
3Average total cost of medication is the cost of medication used before receiving medical attention for
those who took medication and does not include the cost of medication for recurrence. For moderate and severe
cases, data are from medical records, but for mild cases, the percentage of moderate cases self-medicating before
health care was used, and other sources and author assumptions were used regarding, dosage, frequency, and
duration of illness.
4Of the moderately ill persons, an estimated 95 percent saw a physician rather than visiting an Emergency
Room (ER), and of severely ill persons, 29 percent saw a physician before being hospitalized (according to medical
records).
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Exhibit L.1 Cryptosporidiosis Cost-Related Data From Corso et al. (2003)
Cost Category
Mild
Moderate
Severe
Percent with Recurrence of Illness5
21%
21%
21%
Lenqth of Recurrence of Illness6
2 days
2 days
2 days
Average Medication Cost for a Recurrence
$2.44
$2.44
$2.44
Percent That Visited an ER7
NA
5%
71%
Cost of the ER
NA
$224
$224
Percent Hospitalized
NA
NA
100%
Cost of Hospitalization8
NA
NA
$6,152.96
Percent Taking an Ambulance, of Those Who Went to
the ER or Hospital9
NA
4.9%
16.3%
Cost of an Ambulance
NA
$228
$228
Note: NA=not applicable.
Dollar amounts reported in 1993$
L.3 Calculation of Direct Medical Costs
In Corso et al. (2003), the total cost of illness is reported as $79 (in 1993$) derived from the
above data. This Economic Analysis uses different rounding conventions, notably, the rounding of the
percent of the population with each severity of illness. For comparison, these changes generate an
estimate of about $73 (in 1993$) (not shown). Further, this Economic Analysis inflates the 1993 data to
2003$, so the final estimate for direct medical costs is $106.91. The calculations, shown in Exhibit L.2, are
based on the data in Exhibit L.l.
5Corso et al. (2003) cite MacKenzie et al. (1995).
6Corso et al. (2003) cite Osewe et al., 1996.
7Of the moderately ill, 5 percent were assumed to go to the emergency room (ER), and of severely ill persons, 71
percent visited the ER (the other 29 percent visited a doctor and were admitted to the hospital without going to the ER).
sThe cost of hospitalization reported by Corso et al. (2003) is $6,312, which includes the ER costs for the 71 percent
of patients that visited the ER. EPA broke out the cost of the ER visits ($224) and treated them separately, resulting in a
hospitalization cost of $6152.96 [$6,312-(71%*$224)=$6,152.96],
9For moderately ill persons, of those admitted to the ER, 4.9 percent used an ambulance. For severely ill persons, 16.3
percent took an ambulance to the ER or hospital. These percentages are from review of medical records.
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Exhibit L.2 Direct Medical Costs of a Case of Cryptosporidiosis
Medical Cost
Averaae Cost Ml
Averaae Cost Per Patient
1993$
December 2003$
December 2003$
Mild
Moderate
Severe
Mild
Moderate
Severe
Mild
(88%)
Moderate
(11%)
Severe (1%)
Doctor Visits
NA
$45.00
$45.00
NA
$66.15
$66.15
NA
95%*$66.15
=$62.84
29%*$66.15
=$19.18
Emergency
Room Visits
NA
$224.00
$224.00
NA
$329.28
$329.28
NA
5%*$329.28
=$16.46
71%*$329.28
=$233.79
Hospital Stays
NA
NA
$6,152.96
NA
NA
$9,044.85
NA
NA
100%*$9,044.85
=$9,044.85
Ambulance
NA
$228.00
$228.00
NA
$335.16
$335.16
NA
4.9%*5%*
$335.16
=$0.82
16.3%*$335.16
=$54.63
Medication
$5.73
$5.92
$6.74
$8.42
$8.70
$9.91
30%*$8.42
=$2.53
30%*$8.70
=$2.61
29%*$9.91
=$2.87
Medication
after Health
Care
NA
$8.91
$70.52
NA
$13.10
$103.66
NA
54%*$13.10
=$7.07
48%*$103.66
=$49.76
Medication
Taken upon
Recurrence
$2.44
$2.44
$2.44
$3.59
$3.59
$3.59
21%*$3.59
=$0.75
21%*$3.59
=$0.75
21%*$3.59
=$0.75
Totals
$3.28
$90.56
$9,405.84
Weighted Total
$106.91
Notes: Detail may not add to totals due to independent rounding
[1] All direct medical costs were obtained in December 1993$ and are updated by a 1.47 CPI-U update factor to
December 2003$. Bureau of Labor Statistics, 302.1 (Dec2003$)/205.2 (Dec1993$) = (rounded to) 1.47.
Sources: 1993$ average cost data from Corso et al. (2003).
L.4 Calculations for Duration of Illness for Moderate and Severe Cases
Corso et al. (2003) does not provide estimates of duration of illness for moderate and severe
cases, but does report that medical care was sought in approximately 12 percent of cases: 11 percent
being "moderate" cases, and 1 percent being "severe" cases.
Using data from MacKenzie et al. (1994), a data set was constructed to provide a hypothetical
population that could be evaluated to estimate the duration of illness for moderate and severe cases. This
was done because the MacKenzie et al. (1994) distribution represents patients with laboratory-confirmed
cases of cryptosporidiosis, who, since they sought medical care, fit into the moderate and severe illness
categories. While the duration of illness might differ between those whose doctors ordered laboratory
tests from those that did not, no evidence is available to suggest a difference or to provide a factor by
which to adjust these data. In the absence of any better data, the analysis assumes that this distribution of
illness duration can be used to reasonably represent the collection of moderate and severe cases. Further,
an assumption is made that the severe cases are best represented by the upper tail of the distribution, and
moderate cases are best represented by the lower tail of the distribution. While it is likely the case that
some severe cases were of shorter duration that at least some of the moderate cases, no data are
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available to estimate the potential overlap. The mean duration for moderate cases was therefore
determined by calculating the average of the lowest 11/12 of the distribution. The mean for severe cases
was determined by calculating the average of the highest 1/12 of the distribution.
The data set constructed is intended to approximate the distribution described by MacKenzie et
al. (1994): one with a reported duration of illness with a "range of 1 to 55 days, mean of 12, and median of
9." These summary statistics suggest a nearly lognormal distribution, and we therefore assumed a
lognormal distribution with parameters mu and sigma,
X = duration of illness ~ lognormal (|a, a)
Or equivalently,
log (X) ~ normal (m, s2)
To generate a population of data with a lognormal distribution, the analysis used a Monte Carlo
program that required a mean and standard deviation to define the lognormal distribution. To derive the
standard deviation from the mean and median, we used the following relationships that hold for all
lognormal distributions.
(1) mean (X) = exp(m + s2/2)
(2) var (X) = exp(2m + s2) (exp(s2) -1)
and
(3) median (X) = exp(median (log (X))) = exp(m)
Then,
9 = median (X) = exp(m) => m = In (9)
12 = mean (X) = exp(m + s2/2) => s2 = 2(ln(12) - ln(9))
Using formula 3 above and these values for m and s2 we can compute the variance of X as Var
(X) = 112, which yields a standard deviation of 10.58.
A Monte Carlo program was used to generate a data set based on this mean and standard
deviation. In this program, the assumed distribution was thus set at a mean of 12 and a standard deviation
of 10.58, with a range of 1 to 55, and multiplied by "1 " for 50,000 iterations. The derived overall mean
and median of this 50,000 item data set (which match the MacKenzie et al. (1994) statistics reasonably
well) are presented in Exhibit L.3 along with the decile distribution.
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Exhibit L.3 Moderate and Severe Data Set of Patients with Cryptosporidiosis
Value
Percentile
1.00
0%
3.25
10%
4.62
20%
5.91
30%
7.26
40%
8.79
50%
10.70
60%
13.16
70%
16.73
80%
23.31
90%
54.95
100%
11.46
mean
Source: Monte Carlo simulations
based on MacKenzie et al. 1994
summary data.
The final step involves dividing this data set into two parts to represent moderate and severe
cases. Again, the mean for moderate cases was determined by calculating the average of the lowest
11/12 of the distribution. The mean for severe cases was determined by calculating the average of the
highest 1/12 of the distribution. The results are shown in Exhibit LA.
Exhibit L.4 Mean Duration of Illness for Moderate and Severe Cases (Days)
Moderate Cases
9.4
Severe Cases
34.0
Source: Monte Carlo simulations.
L.5 Calculation for Weighted Average Days Lost
After calculating the mean duration of illness for moderate and severe cases, data on the days
with lost productivity (i.e., work is done but with reduced productivity), by degree of severity of illness,
can be derived by subtracting the mean number of days lost (where no work is done) from the mean
duration of illness, for each level of severity. The results are presented in Exhibit L.5.
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Exhibit L.5 Derivation of Days with Lost Productivity, by Severity of Illness
Row
Derivation
Time Category
Mild
Cases
Moderate
Cases
Severe
Cases
a
Mean Duration of Illness
4.7
9.4
34.0
b
Number of Days Lost
1.3
3.8
13.5
c
a-b
Days with Lost
Productivity
3.4
5.6
20.5
Source: Number of days lost and the mean duration of illness (mild cases) and are from Corso et al.
(2003). Duration of moderate and severe cases is from Exhibit L.4.
The average number of days of lost work, lost productivity, and lost work for caregivers can be
calculated using the data from Exhibit L.5 and the percentages of each severity of illness and the extent
of recurrence. The results are shown in Exhibit L.6.
Exhibit L.6 Weighted Average Days Lost for Work, Caregivers, and Productivity
Severity
Days
Lost
Weight
Weighted
Average
Days
Work
(Patients)
Mild
1.3
88%
1.144
Moderate
3.8
11%
0.418
Severe
13.5
1%
0.135
Total
1.697
Caregivers
Mild
0.1
88%
0.088
Moderate
1.3
11%
0.143
Severe
3.9
1%
0.039
Total
0.270
Productivity
Losses
Mild
3.4
88%
2.992
Moderate
5.6
11%
0.616
Severe
20.5
1%
0.205
Recurrence
2.0
21%
0.420
Total
4.233
Source: Exhibit L.5 and Corso et al. (2003)
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L.6 Allocation of Time Across Activities
Among the items included in the Benefits Analysis is the value of the decrease in the hours and
productivity lost to illness. In general, it is expected that people will value their time differently depending
on what activities they are engaged in. Therefore, to assign monetary values to the hours and productivity
lost to illness, it is necessary to determine how people allocate their time across activities.
The U.S. Census Bureau compiles data on weekly hours worked, and loss of work hours is a key
loss category used in this analysis. For the year 2002, that figure was 39.2 hours per week for the civilian
noninstitutional population 16 years old or older who are working full or part-time.10 This figure excludes
those employed but not working because of vacations, illness, strikes, etc.; noncivilians; institutionalized
persons; and those in the labor pool but unemployed. This group of workers includes about 60.3 percent of
the population in this age range.11 Over the whole population, the average lost work hours per day of
illness is, therefore, about 3.4 hours.12
In addition to paid labor, another important component of lost time is the time spent performing
nonmarket work (e.g., errands, housework, child care). In recent years, a number of research teams
have explored the allocation of time across various activities. For example, a recent National Research
Council (2000) study lists more than 50 major time-use surveys that have been completed internationally.
However, the majority of the studies completed in recent years address countries other than the United
States. The most recent U.S. studies were completed by the University of Michigan in 1981-1982 and by
the University of Maryland in 1985; the U.S. Bureau of Labor Statistics is in the process of developing a
new time-use study and expects the results to be available in 2004 (Bureau of Labor Statistics, undated).
These studies generally address a large number of activities. For example, the proposed United
States survey may include nine groups (personal care, employment activities, education activities,
domestic activities, care for dependent household members, purchasing activities, voluntary work and
care, social and community interaction, and recreation and leisure) that are subdivided into 99 subgroups,
each of which is further subdivided into a number of discrete categories (National Research Council
2000).13 For the purpose of analyzing time losses associated with nonfatal cases of cryptosporidiosis, the
dollar value applied (as discussed below) varies across three larger categories: market work, nonmarket
work, and leisure activities, so more aggregate data can be used.
1 "Based on annual average of monthly figures, U.S. Census Bureau, Statistical Abstract of the United
States, 2003, Table No. 602, sourced to U.S. Bureau of Labor Statistics, Employment and Earnings, monthly, January
2003 issue, and based on the Current Population Survey.
"Derived from the estimate of 131,019 thousand people at work (year 2002, based on annual average of
monthly figures, U.S. Census Bureau, Statistical Abstract of the United States, 2003, Table No. 602, sourced to U.S.
Bureau of Labor Statistics, Employment and Earnings, monthly, January 2003 issue, and based on the Current
Population Survey) of the 217,570 thousand people in this age range (year 2002, based on annual average of monthly
figures, U.S. Census Bureau, Statistical Abstract of the United States, 2003, Table No. 587, sourced to U.S. Bureau of
Labor Statistics, Bulletin 2307 and Employment and Earnings, monthly, January issues; Monthly Labor Review,
November 2001; and based on the Current Population Survey). 131,091 thousand/ 217,570 thousand = 60.3 percent.
1239.2 hours/week 7 days/week x (131,091 thousand/217,570 thousand)=3.4 hours/day.
13 EPA's National Human Activity Pattern Survey, conducted in 1992-1993, also provides data on time use.
However, the easily accessible data from this survey focus on time spent in selected activities and micro-
environments for the purpose of exposure assessment, and do not provide the comprehensive summary data
necessary for this analysis. See USEPA 1997d for more information on this and related exposure studies.
Economic Analysis for the LT2ESWTR L-9 December 2005
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In lieu of a recent United States-based study, assumptions were made about time usage, which
were then compared to existing data for reasonableness. Specifically, this economic analysis computes
nonmarket work time of 40 hours per week and applies it to the 39.7 percent of the population not
otherwise employed. While applied to the population of nonmarket individuals, this estimate is not an
assumption that this entire population is performing full time (although nonmarket) work, because this
group includes infants, retired persons, and others. Nor is it an assumption that market workers do not
also perform nonmarket work. For an average day for the whole population, the average lost nonmarket
work hours per day of illness is about 2.3 hours.14
This analysis also assumes that, for the population as a whole, leisure time is the time left after
subtracting sleep time (which is assumed to be 8 hours) and the time spent in market and nonmarket work
from a 24-hour day. That estimate for leisure time is then about 10.3 hours per day.15
These estimates of time allocation compare reasonably with those from other studies. For
example, a recent Canadian study addresses a different population but has similar results. Exhibit L.7
summarizes those results, which provide national estimates for individuals ages 15 and older in 1998. The
hours-per-day estimates are based on a 7-day week for all time categories. It seems reasonable to
expect that Canadian time-use patterns will be similar to U.S. patterns due to the proximity of the two
countries and the similarity of their economies.
Exhibit L.7 Time Allocation Estimates
Compared to 1998 Canadian Study (hours)
Time Category
Estimates Used
inEA
(rounded data)
Canadian
Estimates
Market Work
3.4
3.3
Nonmarket Work and Leisure
12.6
12.6
Nonmarket Work
2.3
Leisure
10.3
Sleep
8.0
8.1
Note: Market work includes paid work time only. The nonmarket and leisure category
includes all other activities except sleep, including nonmarket work-related activities such as
commuting time. Sleep includes night sleep only.
Source: Canadian data from Statistics Canada 1999 and see text and footnotes.
1440 hours/week + 7 days/week x (131,091 thousand/ 217,570 thousand)= 2.3 hours/day (rounded).
1524 hours - 8 hours sleep - 3.4 market hours (rounded) - 2.3 nonmarket hours (rounded) = 10.3 hours/day
(rounded).
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The time allocation estimates appear to be reasonably consistent with data from other sources as
well. In particular, the estimates of time devoted to night sleep are similar across studies. For the United
States, 1985 data indicate that individuals aged 18-64 averaged 7.8 hours of night sleep (USEPA 1997d).
A 1998-1999 New Zealand study found that individuals aged 12 years and older devoted 8.6 hours to
sleep, but did not distinguish between night sleep and naps (Statistics New Zealand 1999).
L.7 Dollar Value of Time Losses
This section uses compensation data to estimate the opportunity costs of lost market work,
nonmarket work, and leisure time. There are numerous sources of U.S. compensation data, each of
which focuses on somewhat different data elements and uses different approaches to data collection.
The estimates developed for this analysis are based on well-established and frequently cited sources of
national data, relying largely on year 2000 data included in the Statistical Abstract of the United States.
The starting point for the development of these estimates is median weekly earnings for the year
2002 for full-time workers ($609 per week), as reported by the United States Bureau of Labor Statistics
(United States Census Bureau, November 2003, Table 642). This value is derived from the Current
Population Survey and includes wages and salaries, but not other costs (e.g., benefits) paid by the
employer.
This analysis uses median rather than average earnings as the starting point, consistent with other
EPA analyses.16 The distribution of income in the United States is highly skewed due to the small number
of people who are extremely highly compensated, hence average income is significantly higher than the
median. Use of the median reflects the notion that the small fraction of the U.S. population affected by
this rulemaking are likely to be better represented by the median than by the mean value, which is closer
to the upper tail of the distribution.
The next step is to convert median weekly earnings to earnings per hour. According to the
Bureau of Labor Statistics, individuals usually working at paid, full-time jobs averaged 42.9 hours per
week at work in 2002 (United States Census Bureau, November 2003, Table 602). This means that
median earnings per hour averaged about $14.20 ($609/42.9).
For market work time, the measure of opportunity costs used in this analysis is total pre-tax
compensation from the perspective of the employer. The earnings number reported above does not
reflect employer-paid benefits. To adjust this estimate upwards to reflect total compensation, the analysis
uses the ratio of average wages and salaries to average total compensation, as reported by the Bureau of
Labor Statistics for private industry workers for 2002 (United States Census Bureau, December 2003,
Table 646). These data show that total compensation per hour averages about 1.41 times wages and
salaries for full time workers. Using these data to adjust median hourly earnings (as reported above)
leads to an estimate of about $20.02 per hour for total compensation. The value is then updated to 2003
dollars ($20.82) using the Employment Cost Index (ECI) (United States Bureau, 2004).
For nonmarket work and leisure time (excluding sleep), two measures were used (see Appendix
K for more background on these measures). The first measure, used in the Enhanced Cost of Illness
(Enhanced COI), is after-tax earnings, i.e., the "take-home" pay of the median working individual. This
measure assumes that the average individual values an hour of non-paid work at its opportunity cost,
16 See, for example, Final Heavy Duty Engine/Fuel Rule: Air Quality Planning and Standards.
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which is what he or she could have earned on the job. Data taken from the Current Population Survey
data on household income before and after taxes (United States Census Bureau, March 2002) are used to
determine the percent of earnings paid as taxes. In 2002, the median before tax income was $42,409 and
median after tax income was $35,812.17 Thus, after-tax income was about 84.4 percent of the pre-tax
amount. Applying these data to median hourly earnings leads to estimated after-tax earnings of about
$11.98 per hour. This value is then updated to 2003 dollars ($12.46) using the ECI. This figure was used
to value both lost nonmarket work time and lost leisure time in the Enhanced COI. It was also a
component of the value of the lost caregiver time.
A second measure was used to value lost nonmarket work time for the Traditional COI. The
value is half of the after-tax wage, or about $6.23 per hour. The use of 50 percent of the wage rate is
consistent with the common practice in the human capital literature of valuing nonmarket work time at the
market rate for domestic workers18. This literature uses replacement cost as a measure of the
productivity of nonmarket work, rather than focusing on the opportunity cost (or utility loss) for the
individual who chooses to engage in nonmarket work. The median weekly earnings of private household
workers in the service industry were $276 per week in 2002, about 45 percent of the median weekly
earnings of $609 for all workers (U.S. Census Bureau Table 641). Private household workers include
childcare workers, cleaners, and servants. The Traditional COI does not include values for lost leisure
time or lost productivity. The results of these calculations are reported in Exhibit L.8 below.
Exhibit L.8 Per-Hour Dollar Values of Time for Different Activities
Time Loss Category
Basis for Estimate of Value
Per Hour Dollar Value
(rounded)
Market work time
Median gross (pre-tax) wage plus
benefits
$20.82
Nonmarket Work and Leisure
Time (Enhanced COI)
Median after-tax wage
$12.46
Nonmarket Work Time
(Traditional COI)
Half the median after-tax wage
$6.23
Note: Rounded data are shown here, but full precision was used in all calculations.
Sources: Derived from U.S. Census Bureau 2002 and 2003.
Exhibit L.9 multiplies these dollar-per-hour values by the time allocations to determine the average
value of time per day. The exhibit also shows the value of a caregiver day, which is the sum of the per-
day values of lost market work days, nonmarket work days, and nonmarket leisure days.
17This median income estimates differ from the earnings estimates cited earlier because it reflects household
income, rather than individual earnings, and relies on a different data source.
18 A pioneering example of this approach is Rice 1966; a more recent example is Thamer et al. 1998.
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Exhibit L.9 Weighted Average Value of Time
Enhanced COI
Time Loss Category
Hours Per-
Day of Illness
Per-Hou rValue
Per-Day Value
Market Work Time
3.4
$20.82
$70.79
Nonmarket Work Time
2.3
$12.46
$28.66
Nonmarket Leisure Time
10.3
$12.46
$128.34
Caregiver Day
Sum of per-day value of lost market
work, nonmarket work, and leisure
days
$227.79
Traditional COI
Time Loss Category
Hours Per-Day
of Illness
Per-Hour Value
Per-Day Value
Market Work Time
3.4
$20.82
$70.79
Nonmarket Work Time
2.3
$6.23
$14.33
Caregiver Day
Sum of per-day value of lost market
and nonmarket work days
$85.12
Note: Rounded data are shown here, but full precision was used in all calculations.
Source: Exhibits L.7 and L.8.
L.8 Lost Productivity (Enhanced COI Only)
Time losses associated with nonfatal cases of cryptosporidiosis may include (1) a reduction in
time (hours) engaged in normal activities and (2) an additional loss of productivity (or effectiveness) that
occurs even when the ill individual continues to engage in normal activities. Reductions in time (or hours)
would result, for example, when an ill individual spends time on doctor visits, bed rest, or in the hospital
rather than engaging in normal market work and nonmarket work activities. Additional losses occur when
the individual continues to engage in normal activities, but is less productive or finds them less enjoyable
due to illness.
A reasonable estimate for lost productivity assumes that time spent in normal activities is 30
percent less productive than it would be normally, i.e., an individual produces 30-percent less per unit of
time engaged in market or nonmarket work, and is 30 percent less effective at leisure activities.
Furthermore, the best estimate assumes that the dollar value (i.e., the utility loss, estimated based on
opportunity costs) of this reduction is equal to the reduction in productivity multiplied by the relevant
dollar-per-hour value (from Exhibit L.9 above). In other words, the 30 percent loss in productivity is
multiplied by $70.79 per day to estimate the value of reduced productivity while at work, by $28.66 per
day to estimate the value of reduced productivity while engaged in nonmarket work, and by $128.34 per
day for leisure activities. As noted earlier, the value of sleep time is conservatively estimated as "zero" as
the effect of illness on sleep time is not quantified in this analysis.
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The 30 percent productivity loss is based on Harrington et al. (1991), which reports the results of
a survey of individuals affected by a 1983 giardiasis outbreak in Luzerne County, Pennsylvania. In
addition to asking questions about missed work time, the Harrington et al. survey asks:
"If you went to work during this illness, did your illness affect your ability to work
as hard as you usually do at your job? " (Harrington et al. (1991), p. 126)
This question was followed by a bounded multiple-choice question regarding the percent decrease
in normal capacity while working with the illness. The researchers found that respondents identified as
workers reported a 30.4 percent average loss, while those identified as homemakers reported a 34.0
percent average loss (Harrington et al. (1991), p. 103). For the analysis of cryptosporidiosis contained in
this report, these values are rounded to 30 percent. These losses are to the employer for market work
time, and to the individual for nonmarket work time.
In addition to applying this 30 percent loss rate to market and nonmarket work time, the Enhanced
COI analysis applies this rate to leisure time. The Harrington et al. survey asked respondents whether
their leisure activities changed as a result of the illness, as well as whether the illness required them to
change their normal routines. While percentage losses were not requested for time engaged in leisure
activities while ill, the survey results did confirm that these activities were altered as a result of the illness.
While these changes in leisure activities are partially captured in the analysis of time losses (i.e.,
decreased hours spent in market work, nonmarket work, and leisure activities), it appears reasonable to
assume that the utility or pleasure associated with those leisure activities that are pursued while ill is also
reduced as a result of the illness.
The effects of giardiasis are very similar to the effects of cryptosporidiosis, and a review of the
literature failed to identify any other recent U.S. studies that report productivity losses for similar
gastrointestinal illnesses. Harrington et al.'s survey was conducted relatively soon after the giardiasis
outbreak, so the survey participants' recollections were still fresh. The Harrington et al. estimate of an
approximately 30 percent reduction also appears reasonable based on review of studies estimating
productivity losses due to other illnesses, as discussed in more detail in Appendix P.
L.9 Estimates for Enhanced and Traditional Costs of Illness
The data discussed throughout this appendix are the basis for the Traditional and Enhanced Cost
of Illness and are presented in Exhibit L.10. These estimates are discussed in Chapter 5, section 5.3.1
and are used to estimate morbidity benefits.
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Exhibit L.10 Total Value of Lost Time Loss Per Case of Illness,
Enhanced and Traditional COI
Loss Category
Average
Days Lost
Per
Illness
Value Per Day
Total Loss Per Case
Enhanced
COI
Traditional
COI
Enhanced
COI
Traditional
COI
Ax B
Ax C
A
B
C
D
E
Total
| $844.24
$274.34
Direct Medical Costs
| $106.61
$106.91
Lost Time Subtotal
| $737.33
$167.43
Lost Market Work Days
1.697
$70.79
$70.79
$120.13
$120.13
Lost Nonmarket Work Days
$28.66
$14.33
$48.64
$24.32
Lost Leisure Time
$128.34
-
$217.79
-
Lost Caregiver Days
0.270
$227.79
$85.12
$61.50
$22.98
Lost Leisure Productivity
4.233
$128.34 x
30%
-
$162.98
-
Lost Productivity, Market
and Nonmarket Work
($70.79 +
$28.66) x 30%
-
$126.29
-
Note: Detail may not calculate to totals due to independent rounding.
Source: Exhibits L.6 and L.9.
L.10 Year-By-Year Estimates for Enhanced and Traditional Costs of Illness
Using data presented in Appendix C, the results presented in Exhibit L.10 are adjusted to reflect
increases in real income growth and, therefore, the value of time, each year to 2027. Income growth
causes the cost of an illness to increase over time because the lost time is recovered by wage rates or
their equivalent. The same per-capita GDP values used to value mortality in the future (and presented in
Exhibit C.12), are employed to compute income growth between the future year and the year 2003 (the
baseline year for cost of illness calculations). Using the data from 2003 as the base year, the lost-time
portion of the cost of illness is adjusted to reflect the annual percent change in income (the real GDP per
capita). In the benefits model, the cases avoided in each year are valued as shown in Exhibit L.ll (using
unrounded data).
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Exhibit L.11 Yearly Value of Lost Time Per Case of Illness,
Enhanced and Traditional COI
Year
Annual
Percent
Change in
Income
(Real GDP
per
Capita)
Lost Time
Direct
Medical
Costs
Total Loss Per Case
Enhanced
COI
Traditional
COI
Enhanced
COI
Traditional
COI
(1 + A)x
previous year
(1 + A)x
previous year
B + D
C + D
A
B
C
D
E
F
2005
3.9%
$783.82
$177.99
$106.91
$890.73
$284.90
2006
3.3%
$809.88
$183.90
$106.91
$916.79
$290.81
2007
2.3%
$828.85
$188.21
$106.91
$935.76
$295.12
2008
1.9%
$844.23
$191.70
$106.91
$951.14
$298.61
2009
2.0%
$860.79
$195.46
$106.91
$967.70
$302.37
2010
2.0%
$877.73
$199.31
$106.91
$984.64
$306.22
2011
1.8%
$893.29
$202.84
$106.91
$1,000.20
$309.75
2012
1.7%
$908.22
$206.23
$106.91
$1,015.13
$313.14
2013
1.7%
$923.39
$209.68
$106.91
$1,030.30
$316.59
2014
1.7%
$938.83
$213.19
$106.91
$1,045.74
$320.10
2015
1.7%
$954.55
$216.76
$106.91
$1,061.46
$323.67
2016
1.7%
$970.57
$220.39
$106.91
$1,077.48
$327.30
2017
1.7%
$986.89
$224.10
$106.91
$1,093.80
$331.01
2018
1.7%
$1,003.55
$227.88
$106.91
$1,110.46
$334.79
2019
1.7%
$1,020.55
$231.74
$106.91
$1,127.46
$338.65
2020
1.7%
$1,037.91
$235.68
$106.91
$1,144.82
$342.59
2021
1.7%
$1,055.60
$239.70
$106.91
$1,162.51
$346.61
2022
1.7%
$1,073.60
$243.79
$106.91
$1,180.51
$350.70
2023
1.7%
$1,091.91
$247.95
$106.91
$1,198.82
$354.86
2024
1.7%
$1,110.54
$252.18
$106.91
$1,217.45
$359.09
2025
1.7%
$1,129.50
$256.48
$106.91
$1,236.41
$363.39
2026
1.7%
$1,148.81
$260.87
$106.91
$1,255.72
$367.78
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Annual
Percent
Change in
Income
(Real GDP
per
Capita)
Lost Time
Total Loss Per Case
Year
Enhanced
COI
Traditional
COI
Direct
Medical
Costs
Enhanced
COI
Traditional
COI
2027
1.7%
$1,168.48
$265.33
$106.91
$1,275.39
$372.24
2028
1.7%
$1,188.34
$269.84
$106.91
$1,295.25
$376.75
2029
1.7%
$1,208.55
$274.43
$106.91
$1,315.46
$381.34
Note: Full precision is used in model calculations. Rounded data are shown here.
The Traditional COI only includes valuation for medical costs and lost work time (including some portion
of nonmarket household production). The Enhanced COI also factors in valuations for lost personal time
(non-work time) such as child care and homemaking (to the extent not covered by the traditional COI),
time with family, and recreation, and lost productivity at work on days when workers are ill but go to work
anyway.
Source: Col. A: Exhibit C.12
Year 2003 and Col. D: Exhibit L.10.
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Appendix M
Small Community Surface Water and GWUDI Systems by State
This appendix presents the data used to develop Exhibits 7.5 and 7.6, which depict the percent of
the population of CWSs served by small surface and GWUDI systems. The numbers are based on the
total unlinked population served by CWSs using surface water or GWUDI, derived directly from SDWIS
4th Quarter Year 2003 Freeze data (USEPA 2003e).
Exhibit M.1: Small Community Surface Water and GWUDI Systems by State
State
Number of Small
Community
SW & GWUDI
Systems
Population
Served by Small
Community
SW & GWUDI
Systems
Population
Served by All
SW & GWUDI
Systems
Percent of CWS
Population
Served by Small
Community SW &
GWUDI Systems
A
B
C
D = B/C
Alabama
178
628,064
3,503,275
17.9%
Alaska
117
107,863
271,337
39.8%
American Samoa
10
2,840
2,840
100.0%
Arizona
34
37,338
3,135,983
1.2%
Arkansas
241
477,532
1,373,810
34.8%
California
520
1,031,906
25,896,708
4.0%
Colorado
220
385,258
3,470,578
11.1%
Connecticut
39
125,441
2,346,030
5.3%
Delaware
1
425
457,225
0.1%
D.C.
0
0
595,000
0.0%
Florida
39
127,394
2,229,070
5.7%
Georgia
132
457,114
5,109,405
8.9%
Guam
1
1,635
88,850
1.8%
Hawaii
13
29,516
87,582
33.7%
Idaho
56
51,287
251,339
20.4%
Illinois
414
933,392
8,229,110
11.3%
Indiana
83
236,918
2,262,499
10.5%
Iowa
125
207,153
1,251,348
16.6%
Kansas
308
342,461
1,672,967
20.5%
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State
Number of Small
Community
SW & GWUDI
Systems
Population
Served by Small
Community
SW & GWUDI
Systems
Population
Served by All
SW & GWUDI
Systems
Percent of CWS
Population
Served by Small
Community SW &
GWUDI Systems
A
B
C
D = B/C
Kentucky
256
948,948
3,993,419
23.8%
Louisiana
46
161,734
2,066,994
7.8%
Maine
45
100,048
412,960
24.2%
Maryland
52
105,213
4,094,391
2.6%
Massachusetts
56
200,376
6,851,895
2.9%
Michigan
191
602,871
5,328,797
11.3%
Minnesota
21
78,032
1,408,686
5.5%
Mississippi
5
6,943
110,609
6.3%
Missouri
210
388,584
3,143,083
12.4%
Montana
85
126,057
850,453
14.8%
N. Mariana Is.
0
0
50,769
0.0%
Nebraska
12
24,505
555,814
4.4%
Nevada
33
51,986
1,392,181
3.7%
New Hampshire
42
99,409
495,395
20.1%
New Jersey
30
172,144
5,276,474
3.3%
New Mexico
28
46,568
204,868
22.7%
New York
683
1,135,884
13,279,347
8.6%
North Carolina
464
771,762
4,446,374
17.4%
North Dakota
55
57,478
349,257
16.5%
Ohio
219
542,683
6,809,974
8.0%
Oklahoma
588
775,578
2,775,685
27.9%
Oregon
173
276,869
2,455,009
11.3%
Palau
14
11,660
11,660
100.0%
Pennsylvania
360
830,393
8,980,210
9.2%
Puerto Rico
172
233,267
4,378,264
5.3%
Rhode Island
12
56,276
823,380
6.8%
South Carolina
126
413,124
2,636,666
15.7%
South Dakota
117
106,791
381,709
28.0%
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State
Number of Small
Community
SW & GWUDI
Systems
Population
Served by Small
Community
SW & GWUDI
Systems
Population
Served by All
SW & GWUDI
Systems
Percent of CWS
Population
Served by Small
Community SW &
GWUDI Systems
A
B
C
D = B/C
Tennessee
348
957,072
3,754,947
25.5%
Texas
789
1,695,522
14,161,144
12.0%
Utah
53
125,593
1,616,005
7.8%
Vermont
97
163,141
361,954
45.1%
Virginia
266
521,961
6,033,605
8.7%
Virgin Islands
133
30,473
94,473
32.3%
Washington
159
231,714
2,703,880
8.6%
West Virginia
322
554,247
1,549,200
35.8%
Wsconsin
17
61,678
1,661,338
3.7%
Wyoming
71
100,020
295,789
33.8%
Note: Systems that are wholesalers serving a population of 0 or 1 were not included in this analysis. Unlinked system
numbers were used for this analysis.
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Appendix N
Infectivity Dose-Response Analysis
N.l Introduction
As discussed in Chapter 5, the dose-response component of the risk model is a function of two
factors: (1) the Cryptosporidium dose, which is equal to the concentration of organisms in the water and
the volume of water ingested, and (2) the infection probability, or infectivity (r), which is the probability
of a single Cryptosporidium oocyst causing infection when ingested.
Estimates of the second factor, infectivity, are variable and uncertain due to variation among
different species and strains (or isolates) of Cryptosporidium, variation in host susceptibility, and
limitations in available data. To address this variability and uncertainty, EPA has estimated distributions
of possible infectivity (r) values by applying different models to dose-response data from human
volunteer feeding studies.
This appendix presents research and analyses for Cryptosporidium infectivity that EPA
considered for this EA. This includes data from human volunteer feeding studies used in the primary
LT2ESWTR risk assessment, data from additional volunteer studies used in a sensitivity analysis, and the
results of different models used to estimate distributions of infectivity values with these data. Finally, the
appendix presents a verification of the modeled infectivity values using estimates based on the 1993
cryptosporidiosis outbreak in Milwaukee.
N.2 Cryptosporidium Infectivity Research
Researchers have identified numerous species of Cryptosporidium. At least five species are
known to infect humans-C. hominis, C. parvum, C. meleagridis, C. felis, and C. canis (Xiao et al., 2001,
Morgan-Ryan et al., 2002)-among which C. hominis and C. parvum cause most infections to humans.
Until recently, C. parvum had been characterized as having two distinct types-genotype I, of human
origin, and genotype II, of animal or human origin. These genotypes are now characterized as separate
species, with genotype I named C. hominis and genotype II remaining C. parvum (Morgan-Ryan et al.,
2002).
Analyses of 92 outbreak and sporadic cases of cryptosporidiosis in the United States by Sulaiman
et al. (1998) found C. hominis more prevalent than C. parvum. However, Hunter et al. (2004) analyzed
111 sporadic cases in England and Wales where the species occurrence was close to even-55 percent for
C. hominis and 45 percent for C. parvum.
N.2.1 Infectivity Data from Human Volunteer Studies
Data on the infectivity of Cryptosporidium in humans are available from studies conducted by
Chappell, Okhuysen and colleagues at the University of Texas. These studies involved dosing healthy
adult volunteers with different amounts of Cryptosporidium oocysts. Subjects were then evaluated for
Cryptosporidium in stool samples and for diarrheal and other enteric illness symptoms. Due to the high
detection limit for Cryptosporidium in stool samples (10,000 oocysts/ml), researchers classified subjects
as "presumed infected" if they manifested diarrheal or other enteric illness symptoms without measurable
oocyst shedding within 30 days after being dosed.
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Data from Human Volunteer Studies Used in the Primary LT2ESWTR Risk Assessment
For the primary LT2ESWTR risk assessment shown in Chapter 5, infectivity estimates are based
on volunteer feeding studies with three C. parvum isolates: TAMU (collected from a veterinary student
exposed during necropsy of an infected foal), Iowa (derived from a calf), and UCP (derived from a calf).
Each isolate was tested in a separate study. Dose-response data from Okhuysen et al. (1999) for the three
isolates are presented in Exhibits N. 1, N.2, and N.3.
In general, the data show that the fraction infected (number infected divided by number of
subjects) tends to increase with dose. All volunteers dosed at the highest levels became infected, as did a
significant fraction of those dosed at the lowest study levels. The data indicate differences in infectivity
among the isolates, with TAMU the most infectious and UCP the least.
Exhibit N.1: TAMU (C. parvum) Isolate Data (Okhuysen et al. 1999)
Dose
(No. of oocysts)
No. Of
Subjects
No. of
Infections
Percent Infected
10
3
2
67%
30
3
2
67%
100
3
3
100%
500
5
5
100%
Exhibit N.2: Iowa (C. parvum) Isolate Data (Okhuysen et al. 1999]
Dose
(No. of oocysts)
No. of
Subjects
No. of
Infections
Percent Infected
30
5
2
40%
100
8
4
50%
300
3
2
67%
500
6
5
83%
1,000
2
2
100%
10,000
3
3
100%
100,000
1
1
100%
1,000,000
1
1
100%
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Exhibit N.3: UCP (C. parvum) Isolate Data (Okhuysen et al. 1999)
Dose
No. of
No.
(No. of oocysts)
Subjects
of Infections
Percent Infected
500
5
3
60%
1,000
3
2
67%
5,000
5
2
40%
10,000
4
4
100%
Additional Human Volunteer Study Data
Following proposal of the LT2ESWTR, EPA acquired data from human volunteer feeding studies
for three additional isolates: TU502, a C. hominis isolate collected from an infected human, Moredun, a
C. parvum isolate collected from a red deer calf and laboratory passaged for many years in sheep, and
16W, a C. parvum isolate from a calf. Exhibits N.4, N.5, and N.6 show dose-response data for these
isolates. These dose-response data are used in a sensitivity analysis for the risk assessment presented in
section N.4.
The results for the C. hominis isolate, TU502, are of particular interest because, as discussed
earlier, this species has been identified in a significant fraction of Cryptosporidium infections. The
volunteer study results indicate that the infectivity of the C. hominis isolate is similar to the most
infectious C. parvum isolates (Chappell et al., 2004). The modeled infectivity values for all the additional
isolates fall within the range estimated for the three isolates used in the primary risk assessment (see
Exhibit N.19). These additional volunteer feeding study data, therefore, support the range of infectivity
values in the primary risk assessment.
Exhibit N.4: TU502 (C. hominis) Isolate Data (Chappell et al. 2004)
Dose
No. of
No.
(No. of oocysts)
Subjects
of Infections
Percent Infected
10
5
5
100%
30
5
3
67%
100
7
5
71%
500
4
3
75%
Exhibit N.5: Moredun (C. parvum) Isolate Data (Okhuysen et al. 2002)
Dose
No. of
No.
(No. of oocysts)
Subjects
of Infections
Percent Infected
100
4
3
75%
300
5
3
60%
1,000
3
2
67%
3,000
4
3
75%
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Exhibit N.6: 16W (C. parvum) Isolate Data (Chappell et al. 2004)
Dose
No. of
No. of
(No. of oocysts)
Subjects
Infections
Percent Infected
30
7
5
71%
100
5
3
60%
500
4
4
100%
N.2.2 Infectivity of Additional C. parvum Isolates in Laboratory Assays
Rochelle et al. (2002) conducted an infectivity study of five C. parvum isolates-Iowa, TAMU,
Moredun, Maine, and Glasgow-using a mouse and different cell culture assays. While results from these
assays cannot be directly extrapolated to human infectivity, they provide a point of comparison for
relative infectivity among the isolates. Specifically, they provide information on the relative infectivity of
two isolates, Maine and Glasgow, for which infectivity data from human volunteer feeding studies are not
available (see section N.2.1 for volunteer study results for Iowa, TAMU, and Moredun isolates).
In CD-I mice, the TAMU, Moredun, Maine, and Glasgow isolates showed similar infectivity
(ID50 values ranging from 16 to 23), while the Iowa isolate was less infectious (ID50 value of 347).
Among the cell culture systems evaluated, HCT-8 cells produced results closest to the mouse assay. The
infectivity values of TAMU and Moredun were similar in HCT-8 cells (ID50 values of 27 and 30), and the
Maine, Glasgow, and Iowa isolates were similar but less infectious (ID50 values ranging from 81 to 106).
These results indicate that infectivity values from mouse and cell-culture assays do not correlate
closely with available data from volunteer feeding studies. However, they suggest that the infectivity of
the additional isolates, Maine and Glasgow, may fall within the range of values for the isolates evaluated
in the volunteer feeding studies.
N.2.3 Host Sensitivity
Another area of uncertainty in the analysis of Cryptosporidium infectivity is variation in
susceptibility to infection among people. Children and people with weakened immune systems (e.g.,
AIDS patients and others with immune system disorders, transplant recipients, the elderly) are likely more
susceptible to infection by Cryptosporidium. Studies of these groups have observed higher morbidity
rates and greater illness severity in comparison to the general population (DuPont et al., 1995; CDC,
2001; McDonald et al., 2001).
Serological studies have identified the presence of cryptosporidiosis antibodies, which may
provide some resistance to infection. The degree and duration of such resistance is unclear, however.
Some studies have not observed a correlation between the development of some identified antibodies and
protection from illness (Okhuysen et al., 1998). Studies generally show older adults to have higher levels
of antigens present compared to younger adults (Egorov et al. 2003; Frost et al. 1998).
The dose-response results used to model infectivity (Okhuysen et al. 1999) represent healthy
adults. Data indicate that the participants in these studies were a mix of naive and previously exposed
individuals (Muller et al., 2001; SAB, 2003). The study data do not, of course, include any individuals
from sensitive subpopulations. Consequently, EPA lacked data to account for sensitive subpopulations in
the infectivity model and recognizes this as a potential source of conservatism in the infectivity estimates.
Accordingly, those communities with a demographic structure that includes more children or other
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sensitive persons may have a higher annual risk of illness occurring from any predefined level of
exposure.
Although available data used to estimate infectivity in this EA do not account for sensitive
subpopulations, EPA researched infectivity models that recognize variation in host susceptibility of a
healthy adult population. Section N.4 describes these models.
N.3 Infectivity Model Development for the Primary Risk Assessment
For the Cryptosporidium risk assessment presented in Chapter 5, EPA analyzed dose-response
data from Okhuysen et al. (1999) for three isolates (shown in Exhibits N.l - N.3). Data analysis was
performed using a statistical model that addressed uncertainty due to limitations in the number of isolates
and subjects studied. The analysis treated the three isolates as a random sample from a larger population
of environmental isolates. The model used the dose-response data to estimate the infectivity of the three
isolates. Combining this information, the model predicts infectivity of an unknown environmental
isolate, which serves as input to the benefits model. By the nature of the dose-response data, the model
considered the study subjects as a random sample from the U.S. population of healthy individuals. As
noted earlier, the use of healthy adults does not account for differences in subject susceptibility due to age
and other immune system factors, and thus, potentially underestimates infectivity.
Background-Infectivity in the benefits model
Chapter 5 describes the dose-response component of the model used to estimate risk and benefits
for the LT2ESWTR. The daily probability of infection is equal to 1 - e E(r)*vol*v*c5 where E(r) is the
expected mean infectivity, vol is the volume of water ingested during a day (in liters), V is the fraction of
environmental oocysts that are infectious, and C is the finished water concentration (oocysts per liter).
The parameter (r) is the probability that ingestion of a single organism will cause infection. It is
not possible to know the true mean value of r, given the limitations in available data, variability between
isolates (strains), and the likelihood of unknown strains present in the environment. E(r) is the expected
value of r, derived from a distribution of r values that reflect the uncertainty within and variability among
strains, including environmental strains for which there are no data.
The structure of the benefits model contains inner and outer loops to incorporate variability and
uncertainty of the individual variables, respectively. The expected mean infectivity, E(r), is selected in
the outer loop to reflect the uncertainty of the E(r) values. Variability is accounted for when estimating
the distribution of E(r) values.
This section describes the model structure, model output, and data analyses used to estimate the
E(r) values serving as input data to the benefits model. The section is organized as follows:
N. 3.1 Model Development and Structure - gives the basis for the model structure
N.3.2 Model Descriptions - provides mathematical descriptions of the models
N. 3.3 Model Check-MCMC Performance - analyzes distribution of modeled parameters to
ensure model is not biased
N.3.4 Model Outputs - describes the data output by the four models and presents distributions
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N.3.5 Infectivity Calculation from Model Outputs - presents mean infectivity values from model
outputs and randomly selects mean values for input to the benefits model
N.3.1 Model Development and Structure
Based on the exponential dose-response model described in section 5.3.2, EPA has developed
four models to estimate expected r values from the dose-response data shown in Exhibits N.l - N.3. These
expected r values, or E(r), serve as input to the benefits model (this second step is described in section
N.3.5). In 2001, the Science Advisory Board (SAB) reviewed EPA's dose-response analysis and
recommended removing the results for the UCP isolate of C. parvum from the analysis, based on concerns
about the age of the isolate and its poor performance in cell culture assays in comparison to other C.
parvum isolates (SAB 2003). After discussions with Dr. Cynthia Chappell, a co-author of the study
reporting the UCP results, EPA decided to run the analysis in a way to combine two distributions-one
that included and one that excluded the UCP data.
With only two (Iowa and TAMU isolates) or three (Iowa, TAMU, and UCP isolates) sets of data,
model uncertainty is a concern. To address model uncertainty, SAB statisticians recommended using a
50/50 mix of two models; lognormal and log-t (3 degrees of freedom) (SAB 2003). Because the
infectivity parameter r is a probability, lognormal and log-t distributions would have to be constrained to
less than or equal to one. To overcome the technical difficulty posed by this truncation, EPA used logit
transformation rather than natural logarithms. The two models are logit-normal and logit-t. For the logit-
normal model, logit(r)1 is normally distributed with parameters mu and sigma. For the logit-t model,
[logit(r) - mu] / sigma is Student's t distributed with 3 degrees of freedom. Exhibit N.5 summarizes the
four models.
Exhibit N.7: Four Models Used to Calculate the Distribution of Infectivity
Isolates Used
Logit(r) ~ Normal
Logit(r) ~ t3
Iowa, TAMU, and UCP
Model 1
Model 2
Iowa and TAMU
Model 1b
Model 2b
N.3.2 Model Descriptions
Different isolates may have different infectivity parameters, and the Iowa, TAMU, and UCP
infectivity parameters were assumed to represent samples from a much larger environmental distribution
of Cryptosporidium infectivity parameters. Under the logit-normal model (Model 1 and Model lb), the
distribution of logit(r) is normal with unknown parameters (mu, phi), where phi is precision, and is equal
to 1/sigma2. Under the logit-t model (Model 2 and Model 2b) the distribution of [logit(r)-mu] / phi"1/2 is
Student's t with 3 degrees of freedom.
Prior to analyzing the data, little was known about parameters mu and phi for these models.
However, mu was unlikely to lie outside the range (-14.2, 2.2) and phi was unlikely to be outside the
range [0.04, 100], If mu were less than -14.2 (rounded to -14 in the model), then the median value of r
'logit(r) = ln(r/(l-r))
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would be less than 10"6. If mu were greater than 2.2, then the median value of r would exceed 0.9.
Available dose-response data indicate that for the median value for r (the probability of infection, given
exactly one oocyst ingested) to be outside the range (10~6, 0.9) would not be credible.
Regarding phi, it is unlikely that a 95 percent interval for logit(r) is wider than logit(10"5) to
logit(0.5). This interval is 11.513 logit units wide. If a 2-sigma interval (containing 68.3 percent of the
probability mass) is 10 logit units wide, the corresponding precision, phi, would be 0.04. At the other
extreme, the precision may be very large. A precision of 100 would correspond to a standard deviation of
1/10, which would require the relative standard deviation of r to be about 10 percent. Given the
differences in isolate sources, history, and handling, the standard deviation of r is unlikely to be smaller
than this. Therefore, the feasible range for phi was assumed as (0.04, 100).
Within these ranges, (-14, and 2.2) for mu and (0.04, 100) for phi, it was assumed that mu and phi
could fall anywhere. Rather than construct a more complex prior, the model used uniform priors on these
ranges.
The program code for BUGS for one of the models (Model lb) is shown below as an example.
The code for Model 2b is almost identical. The difference is that Model 2b defines a as dt(mu, phi, df)
and c as dt(mu, phi, df), with df = 3. The codes for Model 1 and Model 2 include UCP; Model lb and
Model 2b exclude UCP.
BUGS program code for Model lb
Model;
{
TAMU <- exp(a) / (1 + exp(a))
IOWA <- exp(c) / (1 + exp(c))
R <- exp(d)/(1+exp(d))
for( i in 1 : 4 ) {
TAMUr[i] <-1 - exp(( -TAMUd[i]) * TAMU)
TAMUi[i] ~ dbin(TAMUr[i],TAMUs[i])
}
for( k in 1 : 8 ) {
IOWAr[k] <-1 - exp(( -IOWAd[k]) * IOWA)
IOWAi[k] ~ dbin(IOWAr[k],IOWAs[k])
}
mu ~ dunif(-14, 2.2)
phi ~ dunif(0.04,100)
a ~ dnorm(mu.phi)
c ~ dnorm(mu.phi)
d ~ dnorm(mu, phi)
}
N.3.3 Model Check—MCMC Performance
The outputs of the models are, as expected, autocorrelated between close runs. Selecting data
from non-consecutive iterations at a set frequency instead of using consecutive iterations, referred to as
thinning, essentially removes this autocorrelation. To help determine the needed degree of thinning,
autocorrelation plots for the hyperparameters mu and phi were prepared, and these plots are shown in
Exhibits N.8 and N.9 using Model 2 as an example. These plots are based on a sample size of 100,000
without thinning.
Remarks
a is the logit of r for TAMU
c is the logit of r for IOWA
d is the logit of r for environmental
TAMUr[i] is the probability of infection in group i
TAMUi[i] is the number of infected subjects in group i
IOWAr[k] is the probability of infection in group k
IOWAi[k] is the number of infected subjects in group k
mu and phi define the normal distribution of logit[r]
priors for mu and phi are uniform, with feasibility constraints
a and c constitute a sample of size 2 from the population
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Exhibit N.8: Autocorrelation Plot
for mu
Exhibit N.9: Autocorrelation Plot
for phi
As can be seen, autocorrelation is not noticeable for phi afterabout 20 iterations. Thus, thinning
to 1 in 20 (discarding 19 of every 20 mu-phi pairs), the program produced a sample of 10,000 mu-phi
pairs with negligible autocorrelation. Scatterplots (not shown) of (mu, phi) also confirmed good mixing.
The program required 200 selected iterations before reaching central tendency, so the first 200
(mu, phi) pairs of each analysis were discarded and not included in the final output set. Ten thousand mu-
phi ordered pairs were generated for each model (logit-normal and logit-t).
Examples of posterior hyperparameter densities are shown for Model lb and Model 2b in
Exhibits N.10 through N.13. The definite peaks of these distributions show that the prior limits for these
parameters did not strongly influence the posteriors.
Exhibit N.10: Model 1b
Density Function for mu
0.4
0.3
0.2
0.1
0.0
mu sample: 10000
-15.0 -10.0
-5.0
0.0
Exhibit N.11: Model 1b
Density Function for phi
0.8
0.6
0.4
0.2
0.0
phi sample: 10000
-25X) 00 25^0 5O0 7^0 *"
Exhibit N.12: Model 2b
Density Function for mu
0.4
0.3
0.2
0.1
0.0
mu sample: 10000
-15.0 -10.0
-5.0
0.0
Exhibit N.13: Model 2b
Density Function for phi
1.5
1.0
0.5
0.0
phi sample: 10000
-25X) 00 25^0 5O0 75X1 ""
Posteriors for isolate-specific infectivity parameters among models were similar. For example,
Exhibits N. 14 and N. 15 are the densities for the Iowa isolate produced by Model lb and Model 2b,
respectively.
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Exhibit N.14: Model 1b
Density Function for Iowa
Exhibit N.15: Model 2b
Density Function for Iowa
IOWA sample: 10000
300.0
200.0
100.0
0.0
0.0 0.005
0.01
0.015
IOWA sample: 10000
300.I
200.I
100.1
T 1
0.0 0.005
0.01
0.015
N.3.4 Model Outputs
Each model estimates a distribution of r values (as 10,000 mu-phi pairs). Exhibit N.16 shows the
distribution of r for each isolate, including the environmental isolate. The environmental isolate accounts
for uncertainty within each of the three study isolates and the uncertainty between those isolates.
Consequently, the distribution of the environmental isolate represents the infectivity of all
Cryptosporidium isolates. All graphs in Exhibit N.14 show that the highest density (peak of the
distribution) of the environmental isolate distribution falls in the middle of the individual isolates,
indicating no one isolate is driving the predicted r values.
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Exhibit N.16: Density Functions for Predicted Infectivity by Strain
Environmental
IOWA
TAMU
Environmental
IOWA
TAMU
UCP
logit(r)
logit(r)
CN
00
o
*3-
o
o
o
i' Model 2
r1 "i
':
;» 1 i
i: ::
. 1 i .
- ' ! 1 :
Emirccimental
1 1 1
- - IOWA
• • • TAMU
t ' ' '
;
¦ - UCP
-10
1
-5 0
logit(r)
C\J
CO
O
¦"St
O
O
o
1
1
\ Model 2b
1
1
1
1
1
1
1
J
1
1
1
1
Enwronrrenlal
1
- - IOWA
r
t
iy
' '
, 1
- - - TAMU
-10
logit(r)
N.3.5 Infectivity Calculation from Model Outputs
The r values (represented by 10,000 mu-phi pairs) output from the each model had to be
translated to a representative distribution of expected values, E(r), for input into the benefits model. EPA
used numerical integration to derive expected r values for each mu-phi (or mu-sigma)2 pair. The
integrations for Model 1 and lb, named Erl, and Model 2 and 2b, named Er2 are as follows:
2Phi is the inverse of sigma squared. The BUGS program uses phi and the benefits model uses sigma.
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rmUn+5-Sn
Erl :=
n
dnorn^i, mi^,
f xA
mUn-5-sn
i + e y
d x
Er2 :=
n
•20
mUn+X-Sf,
dt(x, 3)--
dx
1 + e
mun+x-s,!
-20
The four models produced 40,000 estimates of E(r) values, and a Monte Carlo simulation
randomly selected 8,000 values for input to the benefits model. Exhibit N. 17 presents the statistics of the
E(r) for each model and the 8,000 input values for the benefits model. Exhibit N. 18 shows the
distribution of each model and a histogram representing the 8,000 expected r values. The short, dashed
vertical lines along the x-axis represent the means of the model distributions. These exhibits show that
the benefits model input E(r) values fall in the range of the average of the models, indicating each model
was sampled equally.
Exhibit N.17: Statistics of E(r) Values for Each Model and the Benefits Model
Input
Mean
5 %ile
25 %ile
Median
75 %ile
95 %ile
Model 1
0.0729
0.0047
0.0160
0.0389
0.0964
0.2567
Model 1b
0.0908
0.0083
0.0200
0.0457
0.1156
0.3388
Model 2
0.0905
0.0101
0.0294
0.0612
0.1176
0.2818
Model 2b
0.1021
0.0099
0.0287
0.0640
0.1341
0.3326
Benefits Model Input
0.0907
0.0074
0.0227
0.0539
0.1197
0.3044
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Exhibit N.18: Distribution of Infectivity
LD
(f)
a
Q)
a
LO —
IL
J I
I I
' .'1
J ' I
1 '
J; r
'¦ \
'¦ \
r t
'/*
¦ f.
j
¦1 )
i
\ i
V
Model 1
Model 1b
Model 2
Model 2b
\
K-
o —
I .I
2=
0.0
0.2
0.4
Expected r
0.6
0.8
N.4 Alternative Models with Additional Human Dose-Response Data
The additional human volunteer study data described in section N.2.1 provided EPA with the
opportunity to test the infectivity model estimates used in the primary risk assessment with a larger data
set and to explore other dose-response models. Changing the data set can influence the dose-response
relationship to the extent that another model provides a better fit to the data. This section describes six
dose-response models—two used for the primary analysis and four alternatives. Using the original and
additional human volunteer study data, each model was run to estimate infectivity and subsequent impacts
on benefits.
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N.4.1 Model Descriptions
Models 1 and 2 - Exponential with Logit-normal and Logit-t Distributions
As described in section 5.2.3, Haas et al. (1996) evaluated several models for describing
Cryptosporidium infectivity to humans and found the exponential form of V^cLr) = l=e_dr to have the best
fit. Models 1 and 2, used for the primary risk assessment and described in section N.3, use this form and
assume r varies among the isolates following either a logit-normal or logit-t distribution.
Model 1: Pr{inf|d, isolate} = Pr{inf]d} = 1 - exp(-drlsolate); where 1 ogit(rls0,,llc)~ Normal(|_i.a)
Model 2: Pr{inf|d, isolate} = Pr{inf]d} = 1 - exp(-drlsolate); where logit((risolate-fj.) /c )~ Student's t(3
)•
Alternate Models
Model 3 - Exponential with Beta Distribution
Model 3 has the same form as Models 1 and 2, but assumes r follows a beta distribution.
Model 3: Pr{inf]d} = 1 - exp(-drlsolate); where rlsolate ~ Beta(a,P)
Model 4 - Exponential with Additional Parameter
The dose-response data reflect both the infectiousness of the isolate and the susceptibility of the
host (humans in this case). Available data suggest that a fraction of the population may be resistant to
infection by Cryptosporidium at a given point in time. Model 4 introduces an additional parameter to
Model 3 by incorporating information on both isolate and host into the model. The additional parameter,
gamma, represents variation in host susceptibility where the fraction of individuals having immunity to
infection at the time of exposure equals 1-gamma. A prior distribution of beta(10, 0.1) was used to
influence gamma towards a value of one, but never equal one.
Model 4: Pr{inf]d} = y* (1 - exp(-drlsolate); where rlsolate ~ Beta(a,P)
Models 5 and 6 -r Varying by Individual
Models 5 and 6 further tests the sensitivity of host susceptibility. These models are the same
form of Models 3 and 4, respectively, but assume r varies by individual instead of isolate. Models 1
through 4 group the human challenge data by isolate, estimating a distribution of r values for each strain.
This model allows each subject or individual to have a different r value, but does not recognize
differences by strain.
N.4.2 Model Results
Exhibit N.19 shows the graph of all isolates for Models 1 and 2. The additional human volunteer
challenge data fall within the ranges of the original data (UCP and TAMU remain the least and most
infectious, respectively).
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Exhibit N.19: Distribution of Infectivity for All Isolates
Model 1
Environ mental
TAMU
IOWA
UCP
TU502
MOREDUN
16W
logit(r)
Model 2
Environmental
- - TAMU
¦ - - IOWA
¦ - UCP
- ¦ TU502
- — MOREDUN
16W
-10
-8
-6
-4
-2
0
logit(r)
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Exhibit N.20 shows the results of expected r values generated by each model using all the human
volunteer challenge data. The results show Models 1 and 2 have a lower average infectivity but wider
distribution than the other models. Although Model 4 shows a higher mean expected r value than the
other models, the gamma offsets the effect on probability of illness by reducing the number of people that
may incur an infection.
The deviance information criterion (DIC) values indicates how well one model fits the data
compared to another model. A lower DIC value indicates a better fit. The infectivity variable in Models
1-4 is different from the input variable in Models 5 and 6 (isolate versus individual). Therefore,
comparison among all models is not appropriate and is limited between Models 1 through 4 and Model 5
and Model 6. The DIC values indicate Model 4 is a better predictor of infectivity than Models 1-3.
Similarly, Model 5 is favored over Model 6.
Exhibit N.20: Infectivity Statistics for Each Alternative Model
Model Variable Mean 5 %ile 25 %ile Median 75 %ile 95 %ile DIC
Vary by Isolate
Model 1
r
0.0437
0.0001
0.0015
0.0056
0.0227
0.2107
122.6
Model 2
r
0.0581
0.0001
0.0017
0.0069
0.0251
0.3626
122.4
Model 3
r
0.0556
0.0095
0.0188
0.0331
0.0639
0.1838
111.3
Model 4
r
0.2117
0.0866
0.1404
0.1995
0.2680
0.3887
66.3
Gamma
0.7364
0.6659
0.7081
0.7380
0.7645
0.8045
Vary by Individual
Model 5
r
0.1524
0.0667
0.1039
0.1415
0.1907
0.2771
54.6
Model 6
r
0.1233
0.0809
0.1035
0.1212
0.1407
0.1727
37.0
Gamma
0.9057
0.8574
0.8883
0.9080
0.9254
0.9474
EPA compared the primary risk assessment estimates to estimates generated with each of the six
alternative dose-response models using all the human volunteer challenge data. Exhibit N.21 shows the
estimated number of illnesses avoided for each regulatory alternative, based on the mean ICR occurrence
distribution. As shown in Exhibit N.21, estimates for Models 1-3 were lower than the primary risk
assessment estimate by one third to one half. Estimates with Models 4-6 were approximately one third to
two thirds higher than the primary risk assessment.
Exhibit N.21: Number of Illnesses Avoided for Alternative Infectivity Models
Regulatory Alternative
Model
A1
A2
A3
A4
Primary Analysis
989,954
975,326
964,360
902,500
Model 1
369,328
363,178
358,732
332,908
Model 2
413,857
406,609
401,401
372,903
Model 3
689,748
680,404
673,445
633,853
Model 4
1,501,445
1,477,257
1,459,126
1,360,326
Model 5
1,495,997
1,473,280
1,456,257
1,360,725
Model 6
1,283,450
1,265,854
1,252,707
1,178,298
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N.5 Verification Test
One method to test the results of the EA infectivity values is to compare them to an independent
data source. Infectivity data from human feeding studies are limited to one research group, and the
primary study was used to establish the distribution of r values for the benefits model. Consequently, an
independent set of measured Cryptosporidium infectivity values is not available. However, illness and
Cryptosporidium contamination data are available from the 1993 Milwaukee outbreak and can be used to
back-calculate infectivity. The following analysis determines possible r values of the Cryptosporidium
that caused the Milwaukee outbreak and compares these values to those used in the benefits model. This
analysis builds on an approach used by Haas and Rose (1994).
N.5.1 Methodology
This analysis applied a Monte Carlo simulation to the risk equation described previously. Using
a combination of Milwaukee outbreak data and EA data, the simulation generated the mean, median, 5th,
and 95th percentile of r values. Exhibit N.22 lists the input data and their sources. A discussion of the data
follows the table.
Exhibit N.22: Data Input to Calculate Infectivity from LT2ESWTR Benefits Model
Mean
Uncertainty
Source
Pm
Individual risk of illness
(illnesses/population)
0.26
Mac Kenzie et al. (1994)
M
Morbidity factor
50%
30% - 70%
Section 5.2.3 - Okhuysen et al. (1998);
Haasetal. (1996); Du Pontetal. (1995)
S
Secondary spread
5%
1.0% - 9.0%
Mac Kenzie et al. (1995a)
C
Concentration (oocyst/L)
0.0995
Range of 0.067 to 0.132 oocysts/L
Mac Kenzie et al. (1994)
Recovery
11.4%
Beta distribution
Section 5.2.4.1 - ICR;
Haas and Rose (1994)
V
Percent infectious
20%
15%- 25%
Section 5.2.4.1 - ICR;
Le Chevallier et al. (2003)
1
Individual consumption (L)
1.071
Section 5.2.4.2 - USDA 1994-6 survey
n
Annual days of exposure
21
15-30 days
Mac Kenzie et al. (1994)
Individual risk of illness (PJ
Mac Kenzie et al. (1994) conducted a phone survey of Milwaukee residents following the
outbreak and estimated 26 percent of people in the Milwaukee area became ill.
Morbidity factor
The morbidity factor is the probability of becoming ill given infection. The EA estimates a factor
of 30 to 70 percent, applied as a triangular distribution.
Secondary spread
Mac Kenzie et al. (1995a) identified adults visiting the Milwaukee area between March 15th and
April 15th (the period in which the drinking water was likely contaminated with Cryptosporidium), and
studied their household members for symptoms of cryptosporidiosis. They estimated a mean secondary
transmission rate of 5 percent, with a 95 confidence interval of 1.2 to 8.9 percent. This analysis
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incorporates those results into a symmetrical triangular distribution (consistent with the type of
distribution used in the EA model). The boundary of the triangle is 1.0 percent and 9.0 percent calculated
from the 95 percent interval.
Average annual days of exposure
Mac Kenzie et al. (1994) provide finished water turbidity data for the months of March and April
1993. Prior to March 18th, the turbidity did not exceed 0.25 NTU. On March 18 turbidity began to
increase, with excessive levels occurring from March 23rd to April 1 and April 3rd to April 6th. A boil
water notice was announced the evening of April 7th and the plant was closed temporarily on April 9th.
Haas and Rose (1994) estimate a duration of 15 to 30 days exposure, with a mean of 21 days. Since the
Haas and Rose estimate appeared consistent with the operational data, this analysis also uses the 15 to 30
day range and mean of 21 days (triangular distribution).
Cryptosporidium Concentration
In the time surrounding the outbreak, very few samples were analyzed for Cryptosporidium.
Samples taken from ice blocks made on March 25th and April 9th showed Cryptosporidium concentrations
of 13.2 and 6.7 oocysts per 100 liters, respectively (Mac Kenzie et al. 1994). Due to the small amount of
data available, this analysis assumed a uniform distribution for measured Cryptosporidium concentration
with 13.2 and 6.7 oocysts per 100 liters as the bounds. No analytical method recovery information was
given for the sample analysis, although Haas and Rose (1994) suggested a 10 percent recovery as
reasonable. Recoveries were likely similar, or lower than, those observed during the ICR (mean recovery
of 12 percent), which involved a similar method. Therefore, this analysis used the same recovery
distribution used in the EA for the ICR-a beta distribution (1.44, 11.2).
Haas and Rose (1994) report Cryptosporidium results from distribution samples taken during the
latter stages of the outbreak, with a geometric mean of 2.5 oocysts per 100 liters from 4 positive of 8
samples tested. The Haas and Rose data were not incorporated since it is unclear when their samples
were collected.
Percent infectious
No information regarding the percent of oocysts infectious to humans was available. Therefore,
this analysis uses the same input data as the benefits model for ICR data—a triangular distribution with a
model of 20 percent and a range of 15 to 25 percent.
Consumption
The EA model value of 1.071 liters per person per day is used.
N.5.2 Results
Exhibit N.23 compares the infectivity results calculated from the Milwaukee data to the
infectivity values used in the benefits model. Overall, the infectivity estimated for the benefits model is
less than that estimated from the Milwaukee data, but within a reasonable range. One would expect the
confidence bounds of the benefits model infectivity distribution to be wider since the benefits model
inputs are developed to reflect all possible strains. The substantially lower 5th percentile value of the
benefits model and higher 95th percentile estimated from the Milwaukee data suggests EPA
underestimates infectivity.
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Exhibit N.23: Comparison of Estimated Infectivity
Mean
Median
5th % ile
95th % ile
Milwaukee data
0.1875
0.1436
0.0196
0.5051
Benefits model input (E(r))
0.0907
0.0539
0.0074
0.3044
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Appendix O
Assigning LT2ESWTR Costs and Benefits
This appendix presents data used to calculate the costs and benefits associated with full
implementation of the LT2ESWTR. In order to extract cost and benefit data from the model and present
them in comparable terms, it is necessary to calculate the annualized value of all costs and benefits over
the lifetime of the implementation schedule. LT2ESWTR implementation will occur over several years
as States and public water systems (PWSs) learn the requirements of the rule, train their staffs, perform
initial monitoring, and add any treatment necessary to comply with the rule. A 25-year horizon is used
for this economic analysis (EA) and the EA for the Stage 2 Disinfection Byproducts Rule. This time
frame accounts for both the 20-year life for technologies considered in this analysis, and the 5-year period
that systems have to comply with treatment requirements.
O.l Benefit and Cost Distributions
Both costs and benefits are presented as distributions of values. As described in Chapter 5, the
benefits model incorporates multiple estimates of occurrence to address both the uncertainty and
variability of Cryptosporidium occurrence data sets (ICR, ICRSSL, and ICRSSM). The output from the
benefits model is one distribution of benefits (illnesses and deaths avoided) for each occurrence data set.
From these distributions, the mean, 5th percentile, and 95th percentile values are presented in relevant
chapters and appendices and used in subsequent analyses (e.g., monetizing benefits).
The cost model also uses occurrence information from the three data sets. However, unlike the
benefits model it does not sample multiple times from a distribution. Instead, using the mean, 5th
percentile, and 95th percentile occurrence distributions, Monte Carlo simulations are conducted to predict
the percent of plants falling into each bin (Appendix B describes the binning analyses). The results of the
simulations are binning percentages based on occurrence data set and distribution (nine total) and
regulatory alternative (four alternatives). The cost model incorporates the uncertainty of the unit cost
estimates and estimates the mean, 5th percentile, and 95th percentile values for each distribution.
However, this appendix, and all cost model results of treatment presented in the EA, show only the mean
and 90 percent confidence bound for each occurrence data set-the mean of mean occurrence, the 5th
percentile cost of the 5th percentile occurrence distribution, and the 95th percentile cost of the 95th
percentile occurrence distribution. Exhibit O.l illustrates this concept.
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Exhibit 0.1: Derivation of Cost Distributions
Cost Estimates
ICR
ICRSSL
ICRSSM
/
\
\
\
/
\
V
/
\
>
s
N
Results presented in Appendix O exhibits as mean and
90 percent confidence bounds.
0.2 Benefit and Cost Values
Costs and benefits models output values that are representative of the value they would have if
they were all incurred immediately. These values are referred to as the value at full implementation
throughout this appendix. In order to be able to compare these values properly, the costs and benefits
must be distributed over the period in which they are expected to occur and the costs must be brought into
comparable terms.
Exhibits 0.7 through 0.9 show the schedules over which the various components of costs and
benefits are distributed (for the State, implementation and monitoring, and treatment, respectively). Most
of the cost numbers are one-time costs that are incurred only once during the 25-year period examined.
The data given in Exhibits 0.7 through 0.9 are the percentage of the value at full implementation
expected to be incurred in the given year. In general, it is assumed that such expenses are evenly
distributed over the time frame allowed by the regulation. For example, E. coli monitoring for large
systems must be completed in 1 year, so 100 percent of these costs is applied to 1 year. Installation of
covers or treatment for uncovered reservoirs, however, has a 5 year period in which to comply.
Therefore, it is assumed that 20 percent of the costs will be incurred in each of those 5 years.
Operation and maintenance (O&M) and compliance monitoring costs, as well as benefits, are
annual values expected to be incurred every year once treatment is installed and operational. The value at
full implementation represents the annual cost once all plants have treatment fully installed and
operational. As shown in Exhibit 0.9, the schedules for O&M costs and benefits are delayed 1 year from
the treatment schedule to allow for installation and implementation of the technology.
Once the costs and benefits are distributed across the 25-year time frame, they must be brought
into comparable terms. This is done in two ways. The first is by expressing the values as present values
using a social discount rate. The second is by taking the present value and annualizing it.
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The present value of a cost or benefit incurred in a given year is calculated by the following
formula:
PV = V(t) / (1 + R)'
Where: t = The number of years from the reference period
R = Social discount rate
V(t) = The cost occurring t years from the reference period
The total present value of a given component is then the sum of the present value calculated for
each year from 1 to 25.
The formula for converting the present value into an annualized value is as follows:
A = PV*R(1 + R)25/[(l + R)25 - 1]
Where: A = Annualized value
PV = Present value
R = Social discount rate
Exhibits 0.4 through 0.6 show the undiscounted value at full implementation. Exhibits O.IO
through 0.15 show the present value (Year 2003$). Exhibits 0.16through 0.21 show the annualized
value. The present and annualized values are calculated at both a 3 and 7 percent social discount rate.
Exhibits 0.2 and 0.3 summarize the content of the rest of the Appendix O exhibits. Exhibit 0.2
summarizes the exhibits by number. Exhibit 0.3 describes the different variations of each numbered
exhibit.
Exhibit 0.2: Exhibit List (by Number) for Appendix O
Exhibit
Number
Description
0.4
State Costs - Nominal Value
0.5
Implementation and Monitoring - Nominal Value
0.6
Treatment Uncertainty - Nominal Value
0.7
State Schedule for Assigning LT2ESWTR Costs and Benefits
0.8
Implementation and Monitoring Schedule for Assigning LT2ESWTR Cost and Benefits
0.9
Treatment Schedule for Assigning LT2ESWTR Cost and Benefits
0.10
State Costs - Present Value, 3% Discount Rate
0.11
Implementation and Monitoring - Present Value (PV), 3% Discount Rate
0.12
Treatment Uncertainty - Present Value (PV), 3% Discount Rate
0.13
State Costs - Present Value, 7% Discount Rate
0.14
Implementation and Monitoring - Present Value (PV), 7% Discount Rate
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Exhibit
Number
Description
0.15
Treatment Uncertainty - Present Value (PV), 7% Discount Rate
0.16
State Costs - Annualized, 3% Discount Rate
0.17
Implementation and Monitoring - Annualized, 3% Discount Rate
0.18
Treatment Uncertainty - Annualized, 3% Discount Rate
0.19
State Costs - Annualized, 7% Discount Rate
0.20
Implementation and Monitoring - Annualized, 7% Discount Rate
0.21
Treatment Uncertainty - Annualized, 7% Discount Rate
The exhibits in Appendix O are often different variations of the same type of analysis. For
example, Exhibit 0.4 (State Costs - Nominal Value) has seven versions, a-i, each different by data set and
occurrence distribution. For instance, Exhibit 0.4a is an analysis of State Costs - Nominal Value for the
ICR data set using the mean occurrence distribution. Exhibit OAb is an analysis of State Costs -Nominal
Value for the ICR data set using the "low" (5th percentile) occurrence distribution. Exhibits 0.4a through
0.4/ continue to display the analysis of all data sets-ICR, ICRSSM, and ICRSSL-and all occurrence
distributions-low (5th percentile), mean, and high (95th percentile). Some Exhibits only have three
variations-one for each data set (ICR, ICRSSM, ICRSSL). Exhibit 0.3 shows the classification of
exhibits by letter (a-i) and the Appendix O exhibit numbers to which these letters apply.
Exhibit 0.3: Exhibit List (by Letter) for Appendix O
Exhibit Letter
Description
Applies to Appendix 0
Exhibit Numbers:
4,5,10,11,13,14,16,17,19,20
6,12,15,18,21
a
ICR, Mean Occurrence
ICR
b
ICR, Low Occurrence
ICRSSM
c
ICR, High Occurrence
ICRSSL
d
ICRSSM, Mean Occurrence
e
ICRSSM, Low Occurrence
f
ICRSSM, High Occurrence
g
ICRSSL, Mean Occurrence
h
ICRSSL, Low Occurrence
i
ICRSSL, High Occurrence
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Exhibit 0.4a: State Costs - Nominal Value (ICR, Mean)
Crypto
E.coli
Crypto
Uncovered
Monitoring
Monitoring
Monitoring
Finished
E.coli Monitoring
Review
Review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.02
$ 0.05
$ 0.000
$ 0.07
100-499
$ 0.01
$
$
$
$
$ 0.01
$ 0.04
$
$ 0.07
500-999
$ 0.02
$
$
$
$
$ 0.01
$ 0.02
$
$ 0.04
1,000-3,299
$ 0.09
$
$
$
$
$ 0.08
$ 0.23
$
$ 0.40
3,300-9,999
$ 0.26
$
$
$
$
$ 0.07
$ 0.21
$ 0.000
$ 0.54
10,000-49,999
$ 1.04
$
$ 0.08
$ 0.23
$ 0.000
$ 1.36
50,000-99,999
$ 0.73
$
$ 0.02
$ 0.06
$ 0.000
$ 0.81
100,000-999,99S
$ 3.04
$
$ 0.03
$ 0.07
$ 0.003
$ 3.14
1,000,000+
$ 2.57
$
$ 0.00
$ 0.01
$ 0.000
$ 2.59
Total
$ 7.77
$
$
$
$
$ 0.32
$ 0.93
$ 0.003
$ 9.02
Rule Alternative A2
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.02
$ 0.05
$ 0.000
$ 0.14
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.04
$
$ 0.47
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.01
$ 0.02
$
$ 0.50
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.02
$ 0.06
$
$ 2.72
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.02
$ 0.06
$ 0.000
$ 7.47
10,000-49,999
$ 1.04
$ 0.22
$ 0.03
$ 0.09
$ 0.000
$ 1.38
50,000-99,999
$ 0.73
$ 0.15
$ 0.01
$ 0.02
$ 0.000
$ 0.91
100,000-999,99S
$ 3.04
$ 0.64
$ 0.01
$ 0.03
$ 0.003
$ 3.71
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.12
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.12
$ 0.36
$ 0.003
$ 20.41
Rule Alternative A3
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.03
$ 0.000
$ 0.13
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.03
$
$ 0.45
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.01
$ 0.03
$
$ 2.68
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.01
$ 0.03
$ 0.000
$ 7.43
10,000-49,999
$ 1.04
$ 0.22
$ 0.03
$ 0.08
$ 0.000
$ 1.37
50,000-99,999
$ 0.73
$ 0.15
$ 0.01
$ 0.02
$ 0.000
$ 0.91
100,000-999,99S
$ 3.04
$ 0.64
$ 0.01
$ 0.02
$ 0.003
$ 3.71
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.12
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.09
$ 0.27
$ 0.003
$ 20.28
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.03
$ 0.000
$ 0.13
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.03
$
$ 0.45
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.01
$ 0.03
$
$ 2.68
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.01
$ 0.03
$ 0.000
$ 7.43
10,000-49,999
$ 1.04
$ 0.22
$ 0.03
$ 0.08
$ 0.000
$ 1.37
50,000-99,999
$ 0.73
$ 0.15
$ 0.01
$ 0.02
$ 0.000
$ 0.91
100,000-999,99S
$ 3.04
$ 0.64
$ 0.01
$ 0.03
$ 0.003
$ 3.71
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.12
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.09
$ 0.27
$ 0.003
$ 20.29
Rule Alternative A4
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.02
$ 0.000
$ 0.12
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.02
$
$ 0.44
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.00
$ 0.01
$
$ 2.65
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.00
$ 0.01
$ 0.000
$ 7.41
10,000-49,999
$ 1.04
$ 0.22
$ 0.01
$ 0.04
$ 0.000
$ 1.32
50,000-99,999
$ 0.73
$ 0.15
$ 0.00
$ 0.01
$ 0.000
$ 0.89
100,000-999,99S
$ 3.04
$ 0.64
$ 0.00
$ 0.01
$ 0.003
$ 3.69
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.11
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.05
$ 0.14
$ 0.003
$ 20.11
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.4b: State Costs - Nominal Value (ICR, Low)
Crypto
E.coli
Crypto
Uncovered
Monitoring
Monitoring
Monitoring
Finished
E.coli Monitoring
Review
Review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.02
$ 0.05
$ 0.000
$ 0.07
100-499
$ 0.01
$
$
$
$
$ 0.01
$ 0.04
$
$ 0.07
500-999
$ 0.02
$
$
$
$
$ 0.01
$ 0.02
$
$ 0.04
1,000-3,299
$ 0.09
$
$
$
$
$ 0.08
$ 0.23
$
$ 0.40
3,300-9,999
$ 0.26
$
$
$
$
$ 0.07
$ 0.21
$ 0.000
$ 0.54
10,000-49,999
$ 1.04
$
$ 0.08
$ 0.24
$ 0.000
$ 1.37
50,000-99,999
$ 0.73
$
$ 0.02
$ 0.07
$ 0.000
$ 0.81
100,000-999,99S
$ 3.04
$
$ 0.03
$ 0.08
$ 0.003
$ 3.14
1,000,000+
$ 2.57
$
$ 0.00
$ 0.01
$ 0.000
$ 2.59
Total
$ 7.77
$
$
$
$
$ 0.32
$ 0.95
$ 0.003
$ 9.04
Rule Alternative A2
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.04
$ 0.000
$ 0.14
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.04
$
$ 0.46
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.01
$ 0.02
$
$ 0.50
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.02
$ 0.06
$
$ 2.71
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.02
$ 0.05
$ 0.000
$ 7.46
10,000-49,999
$ 1.04
$ 0.22
$ 0.03
$ 0.08
$ 0.000
$ 1.37
50,000-99,999
$ 0.73
$ 0.15
$ 0.01
$ 0.02
$ 0.000
$ 0.91
100,000-999,99S
$ 3.04
$ 0.64
$ 0.01
$ 0.03
$ 0.003
$ 3.71
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.12
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.11
$ 0.34
$ 0.003
$ 20.38
Rule Alternative A3
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.03
$ 0.000
$ 0.13
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.03
$
$ 0.45
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.01
$ 0.03
$
$ 2.67
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.01
$ 0.02
$ 0.000
$ 7.42
10,000-49,999
$ 1.04
$ 0.22
$ 0.03
$ 0.07
$ 0.000
$ 1.36
50,000-99,999
$ 0.73
$ 0.15
$ 0.01
$ 0.02
$ 0.000
$ 0.90
100,000-999,99S
$ 3.04
$ 0.64
$ 0.01
$ 0.02
$ 0.003
$ 3.70
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.12
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.08
$ 0.24
$ 0.003
$ 20.25
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.03
$ 0.000
$ 0.13
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.03
$
$ 0.45
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.01
$ 0.03
$
$ 2.67
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.01
$ 0.02
$ 0.000
$ 7.42
10,000-49,999
$ 1.04
$ 0.22
$ 0.03
$ 0.08
$ 0.000
$ 1.36
50,000-99,999
$ 0.73
$ 0.15
$ 0.01
$ 0.02
$ 0.000
$ 0.91
100,000-999,99S
$ 3.04
$ 0.64
$ 0.01
$ 0.02
$ 0.003
$ 3.70
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.12
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.08
$ 0.25
$ 0.003
$ 20.25
Rule Alternative A4
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.02
$ 0.000
$ 0.11
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.02
$
$ 0.44
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.00
$ 0.01
$
$ 2.65
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.00
$ 0.01
$ 0.000
$ 7.41
10,000-49,999
$ 1.04
$ 0.22
$ 0.01
$ 0.03
$ 0.000
$ 1.31
50,000-99,999
$ 0.73
$ 0.15
$ 0.00
$ 0.01
$ 0.000
$ 0.89
100,000-999,99S
$ 3.04
$ 0.64
$ 0.00
$ 0.01
$ 0.003
$ 3.69
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.11
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.04
$ 0.12
$ 0.003
$ 20.09
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.4c: State Costs - Nominal Value (ICR, High)
Crypto
E.coli
Crypto
Uncovered
Monitoring
Monitoring
Monitoring
Finished
E.coli Monitoring
Review
Review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.02
$ 0.05
$ 0.000
$ 0.07
100-499
$ 0.01
$
$
$
$
$ 0.01
$ 0.04
$
$ 0.07
500-999
$ 0.02
$
$
$
$
$ 0.01
$ 0.02
$
$ 0.04
1,000-3,299
$ 0.09
$
$
$
$
$ 0.08
$ 0.23
$
$ 0.40
3,300-9,999
$ 0.26
$
$
$
$
$ 0.07
$ 0.21
$ 0.000
$ 0.54
10,000-49,999
$ 1.04
$
$ 0.08
$ 0.24
$ 0.000
$ 1.37
50,000-99,999
$ 0.73
$
$ 0.02
$ 0.07
$ 0.000
$ 0.81
100,000-999,99S
$ 3.04
$
$ 0.03
$ 0.08
$ 0.003
$ 3.14
1,000,000+
$ 2.57
$
$ 0.00
$ 0.01
$ 0.000
$ 2.59
Total
$ 7.77
$
$
$
$
$ 0.32
$ 0.95
$ 0.003
$ 9.04
Rule Alternative A2
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.02
$ 0.05
$ 0.000
$ 0.15
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.04
$
$ 0.47
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.01
$ 0.02
$
$ 0.50
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.02
$ 0.07
$
$ 2.73
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.02
$ 0.06
$ 0.000
$ 7.47
10,000-49,999
$ 1.04
$ 0.22
$ 0.03
$ 0.10
$ 0.000
$ 1.39
50,000-99,999
$ 0.73
$ 0.15
$ 0.01
$ 0.03
$ 0.000
$ 0.91
100,000-999,99S
$ 3.04
$ 0.64
$ 0.01
$ 0.03
$ 0.003
$ 3.71
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.01
$ 0.000
$ 3.12
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.14
$ 0.40
$ 0.003
$ 20.47
Rule Alternative A3
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.04
$ 0.000
$ 0.13
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.03
$
$ 0.46
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.50
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.01
$ 0.03
$
$ 2.68
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.01
$ 0.03
$ 0.000
$ 7.43
10,000-49,999
$ 1.04
$ 0.22
$ 0.03
$ 0.09
$ 0.000
$ 1.38
50,000-99,999
$ 0.73
$ 0.15
$ 0.01
$ 0.02
$ 0.000
$ 0.91
100,000-999,99S
$ 3.04
$ 0.64
$ 0.01
$ 0.03
$ 0.003
$ 3.71
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.12
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.10
$ 0.29
$ 0.003
$ 20.32
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.04
$ 0.000
$ 0.13
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.03
$
$ 0.46
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.50
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.01
$ 0.03
$
$ 2.68
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.01
$ 0.03
$ 0.000
$ 7.43
10,000-49,999
$ 1.04
$ 0.22
$ 0.03
$ 0.09
$ 0.000
$ 1.38
50,000-99,999
$ 0.73
$ 0.15
$ 0.01
$ 0.02
$ 0.000
$ 0.91
100,000-999,99S
$ 3.04
$ 0.64
$ 0.01
$ 0.03
$ 0.003
$ 3.71
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.01
$ 0.000
$ 3.12
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.10
$ 0.30
$ 0.003
$ 20.32
Rule Alternative A4
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.02
$ 0.000
$ 0.11
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.02
$
$ 0.44
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.00
$ 0.01
$
$ 2.65
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.00
$ 0.01
$ 0.000
$ 7.41
10,000-49,999
$ 1.04
$ 0.22
$ 0.01
$ 0.04
$ 0.000
$ 1.32
50,000-99,999
$ 0.73
$ 0.15
$ 0.00
$ 0.01
$ 0.000
$ 0.89
100,000-999,99S
$ 3.04
$ 0.64
$ 0.00
$ 0.01
$ 0.003
$ 3.69
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.11
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.05
$ 0.14
$ 0.003
$ 20.11
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.4d: State Costs - Nominal Value (ICRSSM, Mean)
Crypto
E.coli
Crypto
Uncovered
Monitoring
Monitoring
Monitoring
Finished
E.coli Monitoring
Review
Review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.02
$ 0.05
$ 0.000
$ 0.07
100-499
$ 0.01
$
$
$
$
$ 0.01
$ 0.04
$
$ 0.07
500-999
$ 0.02
$
$
$
$
$ 0.01
$ 0.02
$
$ 0.04
1,000-3,299
$ 0.09
$
$
$
$
$ 0.08
$ 0.23
$
$ 0.40
3,300-9,999
$ 0.26
$
$
$
$
$ 0.07
$ 0.21
$ 0.000
$ 0.54
10,000-49,999
$ 1.04
$
$ 0.08
$ 0.24
$ 0.000
$ 1.37
50,000-99,999
$ 0.73
$
$ 0.02
$ 0.07
$ 0.000
$ 0.81
100,000-999,99S
$ 3.04
$
$ 0.03
$ 0.08
$ 0.003
$ 3.14
1,000,000+
$ 2.57
$
$ 0.00
$ 0.01
$ 0.000
$ 2.59
Total
$ 7.77
$
$
$
$
$ 0.32
$ 0.95
$ 0.003
$ 9.04
Rule Alternative A2
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.03
$ 0.000
$ 0.13
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.03
$
$ 0.45
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.01
$ 0.04
$
$ 2.70
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.01
$ 0.04
$ 0.000
$ 7.45
10,000-49,999
$ 1.04
$ 0.22
$ 0.03
$ 0.07
$ 0.000
$ 1.36
50,000-99,999
$ 0.73
$ 0.15
$ 0.01
$ 0.02
$ 0.000
$ 0.90
100,000-999,99S
$ 3.04
$ 0.64
$ 0.01
$ 0.02
$ 0.003
$ 3.70
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.12
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.09
$ 0.28
$ 0.003
$ 20.30
Rule Alternative A3
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.03
$ 0.000
$ 0.12
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.02
$
$ 0.44
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.01
$ 0.02
$
$ 2.66
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.01
$ 0.02
$ 0.000
$ 7.41
10,000-49,999
$ 1.04
$ 0.22
$ 0.02
$ 0.06
$ 0.000
$ 1.35
50,000-99,999
$ 0.73
$ 0.15
$ 0.01
$ 0.02
$ 0.000
$ 0.90
100,000-999,99S
$ 3.04
$ 0.64
$ 0.01
$ 0.02
$ 0.003
$ 3.70
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.11
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.07
$ 0.19
$ 0.003
$ 20.19
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.03
$ 0.000
$ 0.12
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.02
$
$ 0.44
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.01
$ 0.02
$
$ 2.66
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.01
$ 0.02
$ 0.000
$ 7.41
10,000-49,999
$ 1.04
$ 0.22
$ 0.02
$ 0.06
$ 0.000
$ 1.35
50,000-99,999
$ 0.73
$ 0.15
$ 0.01
$ 0.02
$ 0.000
$ 0.90
100,000-999,99S
$ 3.04
$ 0.64
$ 0.01
$ 0.02
$ 0.003
$ 3.70
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.11
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.07
$ 0.20
$ 0.003
$ 20.19
Rule Alternative A4
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.02
$ 0.000
$ 0.11
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.02
$
$ 0.44
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.00
$ 0.01
$
$ 2.65
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.00
$ 0.01
$ 0.000
$ 7.40
10,000-49,999
$ 1.04
$ 0.22
$ 0.01
$ 0.03
$ 0.000
$ 1.30
50,000-99,999
$ 0.73
$ 0.15
$ 0.00
$ 0.01
$ 0.000
$ 0.89
100,000-999,99S
$ 3.04
$ 0.64
$ 0.00
$ 0.01
$ 0.003
$ 3.68
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.11
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.04
$ 0.11
$ 0.003
$ 20.07
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.4e: State Costs - Nominal Value (ICRSSM, Low)
Crypto
E.coli
Crypto
Uncovered
Monitoring
Monitoring
Monitoring
Finished
E.coli Monitoring
Review
Review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.02
$ 0.05
$ 0.000
$ 0.07
100-499
$ 0.01
$
$
$
$
$ 0.01
$ 0.04
$
$ 0.07
500-999
$ 0.02
$
$
$
$
$ 0.01
$ 0.02
$
$ 0.04
1,000-3,299
$ 0.09
$
$
$
$
$ 0.08
$ 0.23
$
$ 0.40
3,300-9,999
$ 0.26
$
$
$
$
$ 0.07
$ 0.21
$ 0.000
$ 0.54
10,000-49,999
$ 1.04
$
$ 0.08
$ 0.24
$ 0.000
$ 1.37
50,000-99,999
$ 0.73
$
$ 0.02
$ 0.07
$ 0.000
$ 0.81
100,000-999,99S
$ 3.04
$
$ 0.03
$ 0.08
$ 0.003
$ 3.14
1,000,000+
$ 2.57
$
$ 0.00
$ 0.01
$ 0.000
$ 2.59
Total
$ 7.77
$
$
$
$
$ 0.32
$ 0.95
$ 0.003
$ 9.04
Rule Alternative A2
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.03
$ 0.000
$ 0.12
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.03
$
$ 0.45
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.01
$ 0.04
$
$ 2.69
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.01
$ 0.04
$ 0.000
$ 7.44
10,000-49,999
$ 1.04
$ 0.22
$ 0.02
$ 0.07
$ 0.000
$ 1.35
50,000-99,999
$ 0.73
$ 0.15
$ 0.01
$ 0.02
$ 0.000
$ 0.90
100,000-999,99S
$ 3.04
$ 0.64
$ 0.01
$ 0.02
$ 0.003
$ 3.70
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.12
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.09
$ 0.25
$ 0.003
$ 20.26
Rule Alternative A3
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.02
$ 0.000
$ 0.12
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.02
$
$ 0.44
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.01
$ 0.02
$
$ 2.66
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.00
$ 0.01
$ 0.000
$ 7.41
10,000-49,999
$ 1.04
$ 0.22
$ 0.02
$ 0.06
$ 0.000
$ 1.34
50,000-99,999
$ 0.73
$ 0.15
$ 0.01
$ 0.02
$ 0.000
$ 0.90
100,000-999,99S
$ 3.04
$ 0.64
$ 0.01
$ 0.02
$ 0.003
$ 3.70
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.11
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.06
$ 0.18
$ 0.003
$ 20.16
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.02
$ 0.000
$ 0.12
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.02
$
$ 0.44
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.01
$ 0.02
$
$ 2.66
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.00
$ 0.01
$ 0.000
$ 7.41
10,000-49,999
$ 1.04
$ 0.22
$ 0.02
$ 0.06
$ 0.000
$ 1.34
50,000-99,999
$ 0.73
$ 0.15
$ 0.01
$ 0.02
$ 0.000
$ 0.90
100,000-999,99S
$ 3.04
$ 0.64
$ 0.01
$ 0.02
$ 0.003
$ 3.70
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.11
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.06
$ 0.18
$ 0.003
$ 20.16
Rule Alternative A4
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.02
$ 0.000
$ 0.11
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.02
$
$ 0.44
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.00
$ 0.01
$
$ 2.65
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.00
$ 0.01
$ 0.000
$ 7.40
10,000-49,999
$ 1.04
$ 0.22
$ 0.01
$ 0.02
$ 0.000
$ 1.29
50,000-99,999
$ 0.73
$ 0.15
$ 0.00
$ 0.01
$ 0.000
$ 0.89
100,000-999,99S
$ 3.04
$ 0.64
$ 0.00
$ 0.01
$ 0.003
$ 3.68
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.11
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.03
$ 0.10
$ 0.003
$ 20.06
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.4f: State Costs - Nominal Value (ICRSSM, High)
Crypto
E.coli
Crypto
Uncovered
Monitoring
Monitoring
Monitoring
Finished
E.coli Monitoring
Review
Review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.02
$ 0.05
$ 0.000
$ 0.07
100-499
$ 0.01
$
$
$
$
$ 0.01
$ 0.04
$
$ 0.07
500-999
$ 0.02
$
$
$
$
$ 0.01
$ 0.02
$
$ 0.04
1,000-3,299
$ 0.09
$
$
$
$
$ 0.08
$ 0.23
$
$ 0.40
3,300-9,999
$ 0.26
$
$
$
$
$ 0.07
$ 0.21
$ 0.000
$ 0.54
10,000-49,999
$ 1.04
$
$ 0.08
$ 0.24
$ 0.000
$ 1.37
50,000-99,999
$ 0.73
$
$ 0.02
$ 0.07
$ 0.000
$ 0.81
100,000-999,99S
$ 3.04
$
$ 0.03
$ 0.08
$ 0.003
$ 3.14
1,000,000+
$ 2.57
$
$ 0.00
$ 0.01
$ 0.000
$ 2.59
Total
$ 7.77
$
$
$
$
$ 0.32
$ 0.95
$ 0.003
$ 9.04
Rule Alternative A2
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.04
$ 0.000
$ 0.13
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.03
$
$ 0.45
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.02
$ 0.05
$
$ 2.70
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.02
$ 0.04
$ 0.000
$ 7.45
10,000-49,999
$ 1.04
$ 0.22
$ 0.03
$ 0.08
$ 0.000
$ 1.37
50,000-99,999
$ 0.73
$ 0.15
$ 0.01
$ 0.02
$ 0.000
$ 0.91
100,000-999,99S
$ 3.04
$ 0.64
$ 0.01
$ 0.02
$ 0.003
$ 3.71
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.12
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.10
$ 0.30
$ 0.003
$ 20.33
Rule Alternative A3
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.03
$ 0.000
$ 0.12
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.02
$
$ 0.45
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.01
$ 0.02
$
$ 2.66
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.01
$ 0.02
$ 0.000
$ 7.41
10,000-49,999
$ 1.04
$ 0.22
$ 0.02
$ 0.07
$ 0.000
$ 1.35
50,000-99,999
$ 0.73
$ 0.15
$ 0.01
$ 0.02
$ 0.000
$ 0.90
100,000-999,99S
$ 3.04
$ 0.64
$ 0.01
$ 0.02
$ 0.003
$ 3.70
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.12
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.07
$ 0.21
$ 0.003
$ 20.21
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.03
$ 0.000
$ 0.12
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.02
$
$ 0.45
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.01
$ 0.02
$
$ 2.66
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.01
$ 0.02
$ 0.000
$ 7.41
10,000-49,999
$ 1.04
$ 0.22
$ 0.02
$ 0.07
$ 0.000
$ 1.36
50,000-99,999
$ 0.73
$ 0.15
$ 0.01
$ 0.02
$ 0.000
$ 0.90
100,000-999,99S
$ 3.04
$ 0.64
$ 0.01
$ 0.02
$ 0.003
$ 3.70
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.12
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.07
$ 0.21
$ 0.003
$ 20.21
Rule Alternative A4
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.02
$ 0.000
$ 0.11
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.02
$
$ 0.44
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.00
$ 0.01
$
$ 2.65
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.00
$ 0.01
$ 0.000
$ 7.40
10,000-49,999
$ 1.04
$ 0.22
$ 0.01
$ 0.03
$ 0.000
$ 1.30
50,000-99,999
$ 0.73
$ 0.15
$ 0.00
$ 0.01
$ 0.000
$ 0.89
100,000-999,99S
$ 3.04
$ 0.64
$ 0.00
$ 0.01
$ 0.003
$ 3.68
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.11
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.04
$ 0.12
$ 0.003
$ 20.08
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.4g: State Costs - Nominal Value (ICRSSL, Mean)
Crypto
E.coli
Crypto
Uncovered
Monitoring
Monitoring
Monitoring
Finished
E.coli Monitoring
Review
Review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.02
$ 0.05
$ 0.000
$ 0.07
100-499
$ 0.01
$
$
$
$
$ 0.01
$ 0.04
$
$ 0.07
500-999
$ 0.02
$
$
$
$
$ 0.01
$ 0.02
$
$ 0.04
1,000-3,299
$ 0.09
$
$
$
$
$ 0.08
$ 0.23
$
$ 0.40
3,300-9,999
$ 0.26
$
$
$
$
$ 0.07
$ 0.21
$ 0.000
$ 0.54
10,000-49,999
$ 1.04
$
$ 0.08
$ 0.24
$ 0.000
$ 1.37
50,000-99,999
$ 0.73
$
$ 0.02
$ 0.07
$ 0.000
$ 0.81
100,000-999,99S
$ 3.04
$
$ 0.03
$ 0.08
$ 0.003
$ 3.14
1,000,000+
$ 2.57
$
$ 0.00
$ 0.01
$ 0.000
$ 2.59
Total
$ 7.77
$
$
$
$
$ 0.32
$ 0.95
$ 0.003
$ 9.04
Rule Alternative A2
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.03
$ 0.000
$ 0.12
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.02
$
$ 0.45
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.01
$ 0.04
$
$ 2.68
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.01
$ 0.03
$ 0.000
$ 7.44
10,000-49,999
$ 1.04
$ 0.22
$ 0.02
$ 0.06
$ 0.000
$ 1.35
50,000-99,999
$ 0.73
$ 0.15
$ 0.01
$ 0.02
$ 0.000
$ 0.90
100,000-999,99S
$ 3.04
$ 0.64
$ 0.01
$ 0.02
$ 0.003
$ 3.70
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.11
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.08
$ 0.24
$ 0.003
$ 20.25
Rule Alternative A3
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.02
$ 0.000
$ 0.12
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.02
$
$ 0.44
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.00
$ 0.01
$
$ 2.65
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.00
$ 0.01
$ 0.000
$ 7.41
10,000-49,999
$ 1.04
$ 0.22
$ 0.02
$ 0.05
$ 0.000
$ 1.33
50,000-99,999
$ 0.73
$ 0.15
$ 0.00
$ 0.01
$ 0.000
$ 0.90
100,000-999,99S
$ 3.04
$ 0.64
$ 0.01
$ 0.02
$ 0.003
$ 3.70
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.11
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.06
$ 0.17
$ 0.003
$ 20.15
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.02
$ 0.000
$ 0.12
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.02
$
$ 0.44
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.00
$ 0.01
$
$ 2.65
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.00
$ 0.01
$ 0.000
$ 7.41
10,000-49,999
$ 1.04
$ 0.22
$ 0.02
$ 0.05
$ 0.000
$ 1.33
50,000-99,999
$ 0.73
$ 0.15
$ 0.00
$ 0.01
$ 0.000
$ 0.90
100,000-999,99S
$ 3.04
$ 0.64
$ 0.01
$ 0.02
$ 0.003
$ 3.70
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.11
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.06
$ 0.17
$ 0.003
$ 20.15
Rule Alternative A4
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.02
$ 0.000
$ 0.11
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.02
$
$ 0.44
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.00
$ 0.01
$
$ 2.65
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.00
$ 0.01
$ 0.000
$ 7.40
10,000-49,999
$ 1.04
$ 0.22
$ 0.01
$ 0.02
$ 0.000
$ 1.29
50,000-99,999
$ 0.73
$ 0.15
$ 0.00
$ 0.01
$ 0.000
$ 0.88
100,000-999,99S
$ 3.04
$ 0.64
$ 0.00
$ 0.01
$ 0.003
$ 3.68
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.11
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.03
$ 0.09
$ 0.003
$ 20.05
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.4h: State Costs - Nominal Value (ICRSSL, Low)
Crypto
E.coli
Crypto
Uncovered
Monitoring
Monitoring
Monitoring
Finished
E.coli Monitoring
Review
Review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.02
$ 0.05
$ 0.000
$ 0.07
100-499
$ 0.01
$
$
$
$
$ 0.01
$ 0.04
$
$ 0.07
500-999
$ 0.02
$
$
$
$
$ 0.01
$ 0.02
$
$ 0.04
1,000-3,299
$ 0.09
$
$
$
$
$ 0.08
$ 0.23
$
$ 0.40
3,300-9,999
$ 0.26
$
$
$
$
$ 0.07
$ 0.21
$ 0.000
$ 0.54
10,000-49,999
$ 1.04
$
$ 0.08
$ 0.24
$ 0.000
$ 1.37
50,000-99,999
$ 0.73
$
$ 0.02
$ 0.07
$ 0.000
$ 0.81
100,000-999,99S
$ 3.04
$
$ 0.03
$ 0.08
$ 0.003
$ 3.14
1,000,000+
$ 2.57
$
$ 0.00
$ 0.01
$ 0.000
$ 2.59
Total
$ 7.77
$
$
$
$
$ 0.32
$ 0.95
$ 0.003
$ 9.04
Rule Alternative A2
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.03
$ 0.000
$ 0.12
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.02
$
$ 0.44
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.01
$ 0.03
$
$ 2.68
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.01
$ 0.03
$ 0.000
$ 7.43
10,000-49,999
$ 1.04
$ 0.22
$ 0.02
$ 0.05
$ 0.000
$ 1.34
50,000-99,999
$ 0.73
$ 0.15
$ 0.01
$ 0.01
$ 0.000
$ 0.90
100,000-999,99S
$ 3.04
$ 0.64
$ 0.01
$ 0.02
$ 0.003
$ 3.70
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.11
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.07
$ 0.21
$ 0.003
$ 20.20
Rule Alternative A3
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.02
$ 0.000
$ 0.11
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.02
$
$ 0.44
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.00
$ 0.01
$
$ 2.65
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.00
$ 0.01
$ 0.000
$ 7.41
10,000-49,999
$ 1.04
$ 0.22
$ 0.01
$ 0.04
$ 0.000
$ 1.32
50,000-99,999
$ 0.73
$ 0.15
$ 0.00
$ 0.01
$ 0.000
$ 0.89
100,000-999,99S
$ 3.04
$ 0.64
$ 0.00
$ 0.01
$ 0.003
$ 3.69
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.11
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.05
$ 0.14
$ 0.003
$ 20.12
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.02
$ 0.000
$ 0.11
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.02
$
$ 0.44
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.00
$ 0.01
$
$ 2.65
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.00
$ 0.01
$ 0.000
$ 7.41
10,000-49,999
$ 1.04
$ 0.22
$ 0.01
$ 0.04
$ 0.000
$ 1.32
50,000-99,999
$ 0.73
$ 0.15
$ 0.00
$ 0.01
$ 0.000
$ 0.89
100,000-999,99S
$ 3.04
$ 0.64
$ 0.00
$ 0.01
$ 0.003
$ 3.69
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.11
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.05
$ 0.14
$ 0.003
$ 20.12
Rule Alternative A4
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.02
$ 0.000
$ 0.11
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.02
$
$ 0.43
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.00
$ 0.01
$
$ 2.65
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.00
$ 0.01
$ 0.000
$ 7.40
10,000-49,999
$ 1.04
$ 0.22
$ 0.01
$ 0.02
$ 0.000
$ 1.28
50,000-99,999
$ 0.73
$ 0.15
$ 0.00
$ 0.00
$ 0.000
$ 0.88
100,000-999,99S
$ 3.04
$ 0.64
$ 0.00
$ 0.00
$ 0.003
$ 3.68
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.11
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.03
$ 0.09
$ 0.003
$ 20.04
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.4i: State Costs - Nominal Value (ICRSSL, High)
Crypto
E.coli
Crypto
Uncovered
Monitoring
Monitoring
Monitoring
Finished
E.coli Monitoring
Review
Review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.02
$ 0.05
$ 0.000
$ 0.07
100-499
$ 0.01
$
$
$
$
$ 0.01
$ 0.04
$
$ 0.07
500-999
$ 0.02
$
$
$
$
$ 0.01
$ 0.02
$
$ 0.04
1,000-3,299
$ 0.09
$
$
$
$
$ 0.08
$ 0.23
$
$ 0.40
3,300-9,999
$ 0.26
$
$
$
$
$ 0.07
$ 0.21
$ 0.000
$ 0.54
10,000-49,999
$ 1.04
$
$ 0.08
$ 0.24
$ 0.000
$ 1.37
50,000-99,999
$ 0.73
$
$ 0.02
$ 0.07
$ 0.000
$ 0.81
100,000-999,99S
$ 3.04
$
$ 0.03
$ 0.08
$ 0.003
$ 3.14
1,000,000+
$ 2.57
$
$ 0.00
$ 0.01
$ 0.000
$ 2.59
Total
$ 7.77
$
$
$
$
$ 0.32
$ 0.95
$ 0.003
$ 9.04
Rule Alternative A2
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.03
$ 0.000
$ 0.13
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.03
$
$ 0.45
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.01
$ 0.04
$
$ 2.69
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.01
$ 0.04
$ 0.000
$ 7.44
10,000-49,999
$ 1.04
$ 0.22
$ 0.02
$ 0.07
$ 0.000
$ 1.36
50,000-99,999
$ 0.73
$ 0.15
$ 0.01
$ 0.02
$ 0.000
$ 0.90
100,000-999,99S
$ 3.04
$ 0.64
$ 0.01
$ 0.02
$ 0.003
$ 3.70
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.12
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.09
$ 0.27
$ 0.003
$ 20.28
Rule Alternative A3
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.03
$ 0.000
$ 0.12
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.02
$
$ 0.44
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.01
$ 0.02
$
$ 2.66
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.00
$ 0.01
$ 0.000
$ 7.41
10,000-49,999
$ 1.04
$ 0.22
$ 0.02
$ 0.06
$ 0.000
$ 1.34
50,000-99,999
$ 0.73
$ 0.15
$ 0.01
$ 0.02
$ 0.000
$ 0.90
100,000-999,99S
$ 3.04
$ 0.64
$ 0.01
$ 0.02
$ 0.003
$ 3.70
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.11
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.06
$ 0.18
$ 0.003
$ 20.17
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.03
$ 0.000
$ 0.12
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.02
$
$ 0.44
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.01
$ 0.02
$
$ 2.66
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.00
$ 0.01
$ 0.000
$ 7.41
10,000-49,999
$ 1.04
$ 0.22
$ 0.02
$ 0.06
$ 0.000
$ 1.34
50,000-99,999
$ 0.73
$ 0.15
$ 0.01
$ 0.02
$ 0.000
$ 0.90
100,000-999,99S
$ 3.04
$ 0.64
$ 0.01
$ 0.02
$ 0.003
$ 3.70
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.11
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.06
$ 0.18
$ 0.003
$ 20.17
Rule Alternative A4
<100
$ 0.00
$ 0.03
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.02
$ 0.000
$ 0.11
100-499
$ 0.01
$ 0.14
$ 0.09
$ 0.12
$ 0.06
$ 0.01
$ 0.02
$
$ 0.44
500-999
$ 0.02
$ 0.16
$ 0.10
$ 0.13
$ 0.07
$ 0.00
$ 0.01
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.86
$ 0.57
$ 0.74
$ 0.37
$ 0.00
$ 0.01
$
$ 2.65
3,300-9,999
$ 0.26
$ 2.41
$ 1.61
$ 2.07
$ 1.04
$ 0.00
$ 0.01
$ 0.000
$ 7.40
10,000-49,999
$ 1.04
$ 0.22
$ 0.01
$ 0.02
$ 0.000
$ 1.29
50,000-99,999
$ 0.73
$ 0.15
$ 0.00
$ 0.01
$ 0.000
$ 0.89
100,000-999,99S
$ 3.04
$ 0.64
$ 0.00
$ 0.01
$ 0.003
$ 3.68
1,000,000+
$ 2.57
$ 0.54
$ 0.00
$ 0.00
$ 0.000
$ 3.11
Total
$ 7.77
$ 3.59
$ 2.39
$ 3.09
$ 3.09
$ 0.03
$ 0.10
$ 0.003
$ 20.06
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.5a: Implementation and Monitoring - Nominal Value (ICR, Mean)
Uncovered
Second
Second
Finished
Second
Round
Round Bin
Water
Initial E. coli
Initial Crypto
Bin Class.
Round E. coli
Crypto
Class.
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.23
$
$
$
$
$
$
$ 0.02
$ 0.20
$ 0.00
$ 0.45
100-499
$ 0.27
$
$
$
$
$
$
$ 0.02
$ 0.18
$
$ 0.48
500-999
$ 0.14
$
$
$
$
$
$
$ 0.01
$ 0.11
$
$ 0.26
1,000-3,299
$ 0.29
$
$
$
$
$
$
$ 0.14
$ 1.22
$
$ 1.64
3,300-9,999
$ 0.27
$
$
$
$
$
$
$ 0.13
$ 1.13
$ 0.00
$ 1.53
10,000-49,999
$ 0.26
$
$
$
$
$
$
$ 0.15
$ 1.28
$ 0.01
$ 1.69
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.04
$ 0.35
$ 0.00
$ 0.45
100,000-999,99<
$ 0.07
$
$
$
$
$
$
$ 0.05
$ 0.46
$ 0.01
$ 0.60
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.08
$ 0.00
$ 0.10
Total
$ 1.59
$
$
$
$
$
$
$ 0.57
$ 5.00
$ 0.02
$ 7.18
Rule Alternative A2
<100
$ 0.23
$ 2.13
$ 18.26
$ 0.18
$ 1.83
$ 15.66
$ 0.16
$ 0.02
$ 0.18
$ 0.00
$ 38.64
100-499
$ 0.27
$ 2.35
$ 20.09
$ 0.21
$ 2.06
$ 17.55
$ 0.19
$ 0.02
$ 0.16
$
$ 42.90
500-999
$ 0.14
$ 0.98
$ 8.34
$ 0.11
$ 0.84
$ 7.15
$ 0.10
$ 0.01
$ 0.10
$
$ 17.77
1,000-3,299
$ 0.29
$ 1.96
$ 16.86
$ 0.23
$ 1.50
$ 12.68
$ 0.18
$ 0.04
$ 0.33
$
$ 34.06
3,300-9,999
$ 0.27
$ 1.80
$ 15.46
$ 0.21
$ 1.38
$ 11.65
$ 0.16
$ 0.03
$ 0.30
$ 0.00
$ 31.27
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.68
$ 10.08
$ 0.13
$ 0.06
$ 0.48
$ 0.01
$ 28.71
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.16
$ 2.42
$ 0.03
$ 0.02
$ 0.13
$ 0.00
$ 6.92
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.14
$ 2.91
$ 0.04
$ 0.02
$ 0.17
$ 0.01
$ 8.18
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.02
$ 0.50
$ 0.01
$ 0.00
$ 0.03
$ 0.00
$ 1.42
Total
$ 1.59
$ 10.79
$ 103.89
$ 1.29
$ 8.62
$ 80.59
$ 1.00
$ 0.21
$ 1.88
$ 0.02
$209.87
Rule Alternative A3
<100
$ 0.23
$ 2.13
$ 6.36
$ 0.18
$ 1.89
$ 5.64
$ 0.16
$ 0.01
$ 0.13
$ 0.00
$ 16.75
100-499
$ 0.27
$ 2.35
$ 7.03
$ 0.21
$ 2.13
$ 6.32
$ 0.19
$ 0.01
$ 0.12
$
$ 18.64
500-999
$ 0.14
$ 0.98
$ 2.93
$ 0.11
$ 0.87
$ 2.58
$ 0.10
$ 0.01
$ 0.07
$
$ 7.80
1,000-3,299
$ 0.29
$ 1.96
$ 6.01
$ 0.23
$ 1.74
$ 5.13
$ 0.20
$ 0.02
$ 0.17
$
$ 15.75
3,300-9,999
$ 0.27
$ 1.80
$ 5.51
$ 0.21
$ 1.60
$ 4.71
$ 0.19
$ 0.02
$ 0.15
$ 0.00
$ 14.47
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.72
$ 10.59
$ 0.14
$ 0.05
$ 0.44
$ 0.01
$ 29.22
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.17
$ 2.54
$ 0.03
$ 0.01
$ 0.12
$ 0.00
$ 7.03
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.15
$ 3.06
$ 0.05
$ 0.02
$ 0.16
$ 0.01
$ 8.32
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.52
$ 0.01
$ 0.00
$ 0.03
$ 0.00
$ 1.45
Total
$ 1.59
$ 10.79
$ 52.73
$ 1.29
$ 9.30
$ 41.10
$ 1.08
$ 0.16
$ 1.39
$ 0.02
$119.44
Rule Alternative A3 UV90-10B
<100
$ 0.23
$ 2.13
$ 6.36
$ 0.18
$ 1.89
$ 5.64
$ 0.16
$ 0.01
$ 0.13
$ 0.00
$ 16.75
100-499
$ 0.27
$ 2.35
$ 7.03
$ 0.21
$ 2.13
$ 6.32
$ 0.19
$ 0.01
$ 0.12
$
$ 18.64
500-999
$ 0.14
$ 0.98
$ 2.93
$ 0.11
$ 0.87
$ 2.58
$ 0.10
$ 0.01
$ 0.07
$
$ 7.80
1,000-3,299
$ 0.29
$ 1.96
$ 6.01
$ 0.23
$ 1.74
$ 5.13
$ 0.20
$ 0.02
$ 0.17
$
$ 15.75
3,300-9,999
$ 0.27
$ 1.80
$ 5.51
$ 0.21
$ 1.60
$ 4.70
$ 0.19
$ 0.02
$ 0.15
$ 0.00
$ 14.47
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.71
$ 10.49
$ 0.14
$ 0.05
$ 0.45
$ 0.01
$ 29.11
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.17
$ 2.52
$ 0.03
$ 0.01
$ 0.12
$ 0.00
$ 7.01
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.15
$ 3.04
$ 0.05
$ 0.02
$ 0.16
$ 0.01
$ 8.30
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.52
$ 0.01
$ 0.00
$ 0.03
$ 0.00
$ 1.44
Total
$ 1.59
$ 10.79
$ 52.73
$ 1.29
$ 9.29
$ 40.93
$ 1.08
$ 0.16
$ 1.41
$ 0.02
$119.27
Rule Alternative A4
<100
$ 0.23
$ 2.13
$ 5.54
$ 0.18
$ 1.96
$ 5.08
$ 0.17
$ 0.01
$ 0.09
$ 0.00
$ 15.40
100-499
$ 0.27
$ 2.35
$ 6.13
$ 0.21
$ 2.20
$ 5.69
$ 0.20
$ 0.01
$ 0.08
$
$ 17.15
500-999
$ 0.14
$ 0.98
$ 2.56
$ 0.11
$ 0.90
$ 2.32
$ 0.11
$ 0.01
$ 0.05
$
$ 7.18
1,000-3,299
$ 0.29
$ 1.96
$ 5.26
$ 0.23
$ 1.89
$ 4.85
$ 0.22
$ 0.01
$ 0.07
$
$ 14.78
3,300-9,999
$ 0.27
$ 1.80
$ 4.83
$ 0.21
$ 1.73
$ 4.45
$ 0.21
$ 0.01
$ 0.06
$ 0.00
$ 13.57
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.89
$ 13.18
$ 0.17
$ 0.02
$ 0.22
$ 0.01
$ 31.77
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.21
$ 3.16
$ 0.04
$ 0.01
$ 0.06
$ 0.00
$ 7.64
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.19
$ 3.80
$ 0.06
$ 0.01
$ 0.07
$ 0.01
$ 9.02
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.65
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 1.56
Total
$ 1.59
$ 10.79
$ 49.20
$ 1.29
$ 10.02
$ 43.19
$ 1.18
$ 0.08
$ 0.72
$ 0.02
$118.07
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.5b: Implementation and Monitoring - Nominal Value (ICR, Low)
Uncovered
Second
Second
Finished
Second
Round
Round Bin
Water
Initial E. coli
Initial Crypto
Bin Class.
Round E. coli
Crypto
Class.
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.23
$
$
$
$
$
$
$ 0.02
$ 0.20
$ 0.00
$ 0.45
100-499
$ 0.27
$
$
$
$
$
$
$ 0.02
$ 0.18
$
$ 0.48
500-999
$ 0.14
$
$
$
$
$
$
$ 0.01
$ 0.11
$
$ 0.26
1,000-3,299
$ 0.29
$
$
$
$
$
$
$ 0.14
$ 1.22
$
$ 1.64
3,300-9,999
$ 0.27
$
$
$
$
$
$
$ 0.13
$ 1.14
$ 0.00
$ 1.53
10,000-49,999
$ 0.26
$
$
$
$
$
$
$ 0.15
$ 1.34
$ 0.01
$ 1.76
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.04
$ 0.36
$ 0.00
$ 0.47
100,000-999,99<
$ 0.07
$
$
$
$
$
$
$ 0.05
$ 0.49
$ 0.01
$ 0.62
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.08
$ 0.00
$ 0.10
Total
$ 1.59
$
$
$
$
$
$
$ 0.57
$ 5.12
$ 0.02
$ 7.30
Rule Alternative A2
<100
$ 0.23
$ 2.13
$ 18.26
$ 0.18
$ 1.85
$ 15.86
$ 0.16
$ 0.02
$ 0.16
$ 0.00
$ 38.85
100-499
$ 0.27
$ 2.35
$ 20.09
$ 0.21
$ 2.09
$ 17.76
$ 0.19
$ 0.02
$ 0.15
$
$ 43.13
500-999
$ 0.14
$ 0.98
$ 8.34
$ 0.11
$ 0.85
$ 7.24
$ 0.10
$ 0.01
$ 0.09
$
$ 17.86
1,000-3,299
$ 0.29
$ 1.96
$ 16.86
$ 0.23
$ 1.53
$ 12.98
$ 0.18
$ 0.03
$ 0.30
$
$ 34.38
3,300-9,999
$ 0.27
$ 1.80
$ 15.46
$ 0.21
$ 1.41
$ 11.92
$ 0.17
$ 0.03
$ 0.28
$ 0.00
$ 31.56
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.70
$ 10.37
$ 0.14
$ 0.05
$ 0.46
$ 0.01
$ 29.00
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.17
$ 2.49
$ 0.03
$ 0.01
$ 0.12
$ 0.00
$ 6.98
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.15
$ 2.99
$ 0.04
$ 0.02
$ 0.16
$ 0.01
$ 8.26
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.02
$ 0.51
$ 0.01
$ 0.00
$ 0.03
$ 0.00
$ 1.43
Total
$ 1.59
$ 10.79
$ 103.89
$ 1.29
$ 8.77
$ 82.13
$ 1.02
$ 0.20
$ 1.76
$ 0.02
$ 211.44
Rule Alternative A3
<100
$ 0.23
$ 2.13
$ 5.92
$ 0.18
$ 1.91
$ 5.30
$ 0.16
$ 0.01
$ 0.12
$ 0.00
$ 15.97
100-499
$ 0.27
$ 2.35
$ 6.54
$ 0.21
$ 2.15
$ 5.93
$ 0.20
$ 0.01
$ 0.11
$
$ 17.78
500-999
$ 0.14
$ 0.98
$ 2.73
$ 0.11
$ 0.88
$ 2.42
$ 0.10
$ 0.01
$ 0.07
$
$ 7.44
1,000-3,299
$ 0.29
$ 1.96
$ 5.60
$ 0.23
$ 1.77
$ 4.86
$ 0.21
$ 0.02
$ 0.14
$
$ 15.09
3,300-9,999
$ 0.27
$ 1.80
$ 5.14
$ 0.21
$ 1.63
$ 4.46
$ 0.19
$ 0.01
$ 0.13
$ 0.00
$ 13.87
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.74
$ 10.95
$ 0.14
$ 0.05
$ 0.41
$ 0.01
$ 29.56
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.18
$ 2.62
$ 0.03
$ 0.01
$ 0.11
$ 0.00
$ 7.12
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.15
$ 3.16
$ 0.05
$ 0.02
$ 0.14
$ 0.01
$ 8.42
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.54
$ 0.01
$ 0.00
$ 0.03
$ 0.00
$ 1.46
Total
$ 1.59
$ 10.79
$ 50.81
$ 1.29
$ 9.45
$ 40.25
$ 1.10
$ 0.14
$ 1.27
$ 0.02
$ 116.70
Rule Alternative A3 UV90-10B
<100
$ 0.23
$ 2.13
$ 5.92
$ 0.18
$ 1.91
$ 5.30
$ 0.16
$ 0.01
$ 0.12
$ 0.00
$ 15.97
100-499
$ 0.27
$ 2.35
$ 6.54
$ 0.21
$ 2.15
$ 5.93
$ 0.20
$ 0.01
$ 0.11
$
$ 17.78
500-999
$ 0.14
$ 0.98
$ 2.73
$ 0.11
$ 0.88
$ 2.42
$ 0.10
$ 0.01
$ 0.07
$
$ 7.44
1,000-3,299
$ 0.29
$ 1.96
$ 5.60
$ 0.23
$ 1.77
$ 4.86
$ 0.21
$ 0.02
$ 0.14
$
$ 15.09
3,300-9,999
$ 0.27
$ 1.80
$ 5.14
$ 0.21
$ 1.63
$ 4.46
$ 0.19
$ 0.01
$ 0.13
$ 0.00
$ 13.86
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.73
$ 10.86
$ 0.14
$ 0.05
$ 0.42
$ 0.01
$ 29.47
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.18
$ 2.60
$ 0.03
$ 0.01
$ 0.11
$ 0.00
$ 7.10
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.15
$ 3.14
$ 0.05
$ 0.02
$ 0.15
$ 0.01
$ 8.40
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.53
$ 0.01
$ 0.00
$ 0.03
$ 0.00
$ 1.46
Total
$ 1.59
$ 10.79
$ 50.81
$ 1.29
$ 9.44
$ 40.10
$ 1.10
$ 0.14
$ 1.28
$ 0.02
$ 116.56
Rule Alternative A4
<100
$ 0.23
$ 2.13
$ 5.13
$ 0.18
$ 1.99
$ 4.77
$ 0.17
$ 0.01
$ 0.07
$ 0.00
$ 14.68
100-499
$ 0.27
$ 2.35
$ 5.67
$ 0.21
$ 2.23
$ 5.31
$ 0.20
$ 0.01
$ 0.07
$
$ 16.32
500-999
$ 0.14
$ 0.98
$ 2.37
$ 0.11
$ 0.91
$ 2.16
$ 0.11
$ 0.01
$ 0.05
$
$ 6.83
1,000-3,299
$ 0.29
$ 1.96
$ 4.88
$ 0.23
$ 1.89
$ 4.50
$ 0.22
$ 0.01
$ 0.06
$
$ 14.05
3,300-9,999
$ 0.27
$ 1.80
$ 4.48
$ 0.21
$ 1.74
$ 4.12
$ 0.21
$ 0.01
$ 0.06
$ 0.00
$ 12.90
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.91
$ 13.45
$ 0.18
$ 0.02
$ 0.19
$ 0.01
$ 32.03
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.22
$ 3.22
$ 0.04
$ 0.01
$ 0.05
$ 0.00
$ 7.70
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.19
$ 3.87
$ 0.06
$ 0.01
$ 0.07
$ 0.01
$ 9.09
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.66
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 1.57
Total
$ 1.59
$ 10.79
$ 47.41
$ 1.29
$ 10.11
$ 42.07
$ 1.20
$ 0.07
$ 0.64
$ 0.02
$ 115.17
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.5c: Implementation and Monitoring - Nominal Value (ICR, High)
Uncovered
Second
Second
Finished
Second
Round
Round Bin
Water
Initial E. coli
Initial Crypto
Bin Class.
Round E. coli
Crypto
Class.
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.23
$
$
$
$
$
$
$ 0.02
$ 0.20
$ 0.00
$ 0.45
100-499
$ 0.27
$
$
$
$
$
$
$ 0.02
$ 0.18
$
$ 0.48
500-999
$ 0.14
$
$
$
$
$
$
$ 0.01
$ 0.11
$
$ 0.26
1,000-3,299
$ 0.29
$
$
$
$
$
$
$ 0.14
$ 1.22
$
$ 1.64
3,300-9,999
$ 0.27
$
$
$
$
$
$
$ 0.13
$ 1.14
$ 0.00
$ 1.53
10,000-49,999
$ 0.26
$
$
$
$
$
$
$ 0.15
$ 1.34
$ 0.01
$ 1.76
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.04
$ 0.36
$ 0.00
$ 0.47
100,000-999,99<
$ 0.07
$
$
$
$
$
$
$ 0.05
$ 0.49
$ 0.01
$ 0.62
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.08
$ 0.00
$ 0.10
Total
$ 1.59
$
$
$
$
$
$
$ 0.57
$ 5.12
$ 0.02
$ 7.30
Rule Alternative A2
<100
$ 0.23
$ 2.13
$ 18.26
$ 0.18
$ 1.80
$ 15.43
$ 0.15
$ 0.02
$ 0.19
$ 0.00
$ 38.40
100-499
$ 0.27
$ 2.35
$ 20.09
$ 0.21
$ 2.03
$ 17.30
$ 0.18
$ 0.02
$ 0.18
$
$ 42.63
500-999
$ 0.14
$ 0.98
$ 8.34
$ 0.11
$ 0.83
$ 7.05
$ 0.10
$ 0.01
$ 0.10
$
$ 17.66
1,000-3,299
$ 0.29
$ 1.96
$ 16.86
$ 0.23
$ 1.44
$ 12.20
$ 0.17
$ 0.04
$ 0.37
$
$ 33.55
3,300-9,999
$ 0.27
$ 1.80
$ 15.46
$ 0.21
$ 1.32
$ 11.20
$ 0.16
$ 0.04
$ 0.34
$ 0.00
$ 30.81
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.63
$ 9.38
$ 0.12
$ 0.06
$ 0.54
$ 0.01
$ 28.02
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.15
$ 2.25
$ 0.03
$ 0.02
$ 0.15
$ 0.00
$ 6.75
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.13
$ 2.71
$ 0.04
$ 0.02
$ 0.19
$ 0.01
$ 8.00
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.02
$ 0.46
$ 0.01
$ 0.00
$ 0.03
$ 0.00
$ 1.39
Total
$ 1.59
$ 10.79
$ 103.89
$ 1.29
$ 8.37
$ 77.98
$ 0.96
$ 0.24
$ 2.10
$ 0.02
$207.22
Rule Alternative A3
<100
$ 0.23
$ 2.13
$ 7.12
$ 0.18
$ 1.88
$ 6.26
$ 0.16
$ 0.02
$ 0.14
$ 0.00
$ 18.12
100-499
$ 0.27
$ 2.35
$ 7.86
$ 0.21
$ 2.11
$ 7.01
$ 0.19
$ 0.01
$ 0.13
$
$ 20.16
500-999
$ 0.14
$ 0.98
$ 3.27
$ 0.11
$ 0.87
$ 2.86
$ 0.10
$ 0.01
$ 0.08
$
$ 8.42
1,000-3,299
$ 0.29
$ 1.96
$ 6.70
$ 0.23
$ 1.71
$ 5.66
$ 0.20
$ 0.02
$ 0.18
$
$ 16.96
3,300-9,999
$ 0.27
$ 1.80
$ 6.15
$ 0.21
$ 1.58
$ 5.20
$ 0.19
$ 0.02
$ 0.17
$ 0.00
$ 15.58
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.68
$ 10.03
$ 0.13
$ 0.06
$ 0.49
$ 0.01
$ 28.66
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.16
$ 2.40
$ 0.03
$ 0.02
$ 0.13
$ 0.00
$ 6.90
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.14
$ 2.91
$ 0.04
$ 0.02
$ 0.17
$ 0.01
$ 8.18
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.02
$ 0.49
$ 0.01
$ 0.00
$ 0.03
$ 0.00
$ 1.42
Total
$ 1.59
$ 10.79
$ 55.98
$ 1.29
$ 9.16
$ 42.83
$ 1.06
$ 0.17
$ 1.53
$ 0.02
$124.41
Rule Alternative A3 UV90-10B
<100
$ 0.23
$ 2.13
$ 7.12
$ 0.18
$ 1.88
$ 6.26
$ 0.16
$ 0.02
$ 0.14
$ 0.00
$ 18.12
100-499
$ 0.27
$ 2.35
$ 7.86
$ 0.21
$ 2.11
$ 7.01
$ 0.19
$ 0.01
$ 0.13
$
$ 20.16
500-999
$ 0.14
$ 0.98
$ 3.27
$ 0.11
$ 0.87
$ 2.86
$ 0.10
$ 0.01
$ 0.08
$
$ 8.42
1,000-3,299
$ 0.29
$ 1.96
$ 6.70
$ 0.23
$ 1.71
$ 5.66
$ 0.20
$ 0.02
$ 0.18
$
$ 16.96
3,300-9,999
$ 0.27
$ 1.80
$ 6.15
$ 0.21
$ 1.58
$ 5.19
$ 0.19
$ 0.02
$ 0.17
$ 0.00
$ 15.58
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.67
$ 9.91
$ 0.13
$ 0.06
$ 0.50
$ 0.01
$ 28.55
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.16
$ 2.38
$ 0.03
$ 0.02
$ 0.13
$ 0.00
$ 6.88
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.14
$ 2.88
$ 0.04
$ 0.02
$ 0.18
$ 0.01
$ 8.15
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.02
$ 0.49
$ 0.01
$ 0.00
$ 0.03
$ 0.00
$ 1.41
Total
$ 1.59
$ 10.79
$ 55.98
$ 1.29
$ 9.15
$ 42.64
$ 1.06
$ 0.17
$ 1.55
$ 0.02
$124.22
Rule Alternative A4
<100
$ 0.23
$ 2.13
$ 6.20
$ 0.18
$ 1.99
$ 5.77
$ 0.17
$ 0.01
$ 0.07
$ 0.00
$ 16.75
100-499
$ 0.27
$ 2.35
$ 6.85
$ 0.21
$ 2.22
$ 6.41
$ 0.20
$ 0.01
$ 0.07
$
$ 18.60
500-999
$ 0.14
$ 0.98
$ 2.86
$ 0.11
$ 0.90
$ 2.60
$ 0.11
$ 0.01
$ 0.05
$
$ 7.76
1,000-3,299
$ 0.29
$ 1.96
$ 5.86
$ 0.23
$ 1.89
$ 5.42
$ 0.22
$ 0.01
$ 0.07
$
$ 15.95
3,300-9,999
$ 0.27
$ 1.80
$ 5.38
$ 0.21
$ 1.73
$ 4.97
$ 0.21
$ 0.01
$ 0.06
$ 0.00
$ 14.64
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.87
$ 12.93
$ 0.17
$ 0.03
$ 0.24
$ 0.01
$ 31.52
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.21
$ 3.09
$ 0.04
$ 0.01
$ 0.07
$ 0.00
$ 7.57
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.18
$ 3.73
$ 0.06
$ 0.01
$ 0.08
$ 0.01
$ 8.95
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.64
$ 0.01
$ 0.00
$ 0.02
$ 0.00
$ 1.55
Total
$ 1.59
$ 10.79
$ 52.04
$ 1.29
$ 10.02
$ 45.56
$ 1.18
$ 0.08
$ 0.73
$ 0.02
$123.30
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.5d: Implementation and Monitoring - Nominal Value (ICRSSM, Mean)
Uncovered
Second
Second
Finished
Second
Round
Round Bin
Water
Initial E. coli
Initial Crypto
Bin Class.
Round E. coli
Crypto
Class.
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.23
$
$
$
$
$
$
$ 0.02
$ 0.20
$ 0.00
$ 0.45
100-499
$ 0.27
$
$
$
$
$
$
$ 0.02
$ 0.18
$
$ 0.48
500-999
$ 0.14
$
$
$
$
$
$
$ 0.01
$ 0.11
$
$ 0.26
1,000-3,299
$ 0.29
$
$
$
$
$
$
$ 0.14
$ 1.22
$
$ 1.64
3,300-9,999
$ 0.27
$
$
$
$
$
$
$ 0.13
$ 1.14
$ 0.00
$ 1.53
10,000-49,999
$ 0.26
$
$
$
$
$
$
$ 0.15
$ 1.34
$ 0.01
$ 1.76
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.04
$ 0.36
$ 0.00
$ 0.47
100,000-999,99<
$ 0.07
$
$
$
$
$
$
$ 0.05
$ 0.49
$ 0.01
$ 0.62
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.08
$ 0.00
$ 0.10
Total
$ 1.59
$
$
$
$
$
$
$ 0.57
$ 5.12
$ 0.02
$ 7.30
Rule Alternative A2
<100
$ 0.23
$ 2.13
$ 18.26
$ 0.18
$ 1.91
$ 16.33
$ 0.16
$ 0.01
$ 0.13
$ 0.00
$ 39.34
100-499
$ 0.27
$ 2.35
$ 20.09
$ 0.21
$ 2.15
$ 18.28
$ 0.20
$ 0.01
$ 0.11
$
$ 43.67
500-999
$ 0.14
$ 0.98
$ 8.34
$ 0.11
$ 0.88
$ 7.45
$ 0.10
$ 0.01
$ 0.07
$
$ 18.09
1,000-3,299
$ 0.29
$ 1.96
$ 16.86
$ 0.23
$ 1.63
$ 13.82
$ 0.19
$ 0.03
$ 0.24
$
$ 35.25
3,300-9,999
$ 0.27
$ 1.80
$ 15.46
$ 0.21
$ 1.50
$ 12.68
$ 0.18
$ 0.02
$ 0.22
$ 0.00
$ 32.35
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.74
$ 10.97
$ 0.14
$ 0.05
$ 0.41
$ 0.01
$ 29.58
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.18
$ 2.63
$ 0.03
$ 0.01
$ 0.11
$ 0.00
$ 7.12
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.15
$ 3.17
$ 0.05
$ 0.02
$ 0.14
$ 0.01
$ 8.42
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.54
$ 0.01
$ 0.00
$ 0.03
$ 0.00
$ 1.46
Total
$ 1.59
$ 10.79
$ 103.89
$ 1.29
$ 9.16
$ 85.87
$ 1.07
$ 0.17
$ 1.46
$ 0.02
$215.29
Rule Alternative A3
<100
$ 0.23
$ 2.13
$ 4.98
$ 0.18
$ 1.94
$ 4.53
$ 0.17
$ 0.01
$ 0.10
$ 0.00
$ 14.27
100-499
$ 0.27
$ 2.35
$ 5.50
$ 0.21
$ 2.19
$ 5.07
$ 0.20
$ 0.01
$ 0.09
$
$ 15.89
500-999
$ 0.14
$ 0.98
$ 2.30
$ 0.11
$ 0.90
$ 2.07
$ 0.11
$ 0.01
$ 0.06
$
$ 6.67
1,000-3,299
$ 0.29
$ 1.96
$ 4.74
$ 0.23
$ 1.85
$ 4.26
$ 0.22
$ 0.01
$ 0.09
$
$ 13.66
3,300-9,999
$ 0.27
$ 1.80
$ 4.35
$ 0.21
$ 1.70
$ 3.91
$ 0.20
$ 0.01
$ 0.09
$ 0.00
$ 12.55
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.79
$ 11.69
$ 0.15
$ 0.04
$ 0.35
$ 0.01
$ 30.30
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.19
$ 2.80
$ 0.04
$ 0.01
$ 0.09
$ 0.00
$ 7.29
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.16
$ 3.37
$ 0.05
$ 0.01
$ 0.12
$ 0.01
$ 8.62
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.57
$ 0.01
$ 0.00
$ 0.02
$ 0.00
$ 1.49
Total
$ 1.59
$ 10.79
$ 46.76
$ 1.29
$ 9.75
$ 38.27
$ 1.14
$ 0.11
$ 1.01
$ 0.02
$110.74
Rule Alternative A3 UV90-10B
<100
$ 0.23
$ 2.13
$ 4.98
$ 0.18
$ 1.94
$ 4.53
$ 0.17
$ 0.01
$ 0.10
$ 0.00
$ 14.27
100-499
$ 0.27
$ 2.35
$ 5.50
$ 0.21
$ 2.19
$ 5.07
$ 0.20
$ 0.01
$ 0.09
$
$ 15.89
500-999
$ 0.14
$ 0.98
$ 2.30
$ 0.11
$ 0.90
$ 2.07
$ 0.11
$ 0.01
$ 0.06
$
$ 6.67
1,000-3,299
$ 0.29
$ 1.96
$ 4.74
$ 0.23
$ 1.85
$ 4.26
$ 0.22
$ 0.01
$ 0.09
$
$ 13.66
3,300-9,999
$ 0.27
$ 1.80
$ 4.35
$ 0.21
$ 1.70
$ 3.91
$ 0.20
$ 0.01
$ 0.09
$ 0.00
$ 12.55
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.79
$ 11.63
$ 0.15
$ 0.04
$ 0.35
$ 0.01
$ 30.24
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.19
$ 2.79
$ 0.04
$ 0.01
$ 0.10
$ 0.00
$ 7.28
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.16
$ 3.36
$ 0.05
$ 0.01
$ 0.12
$ 0.01
$ 8.60
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.57
$ 0.01
$ 0.00
$ 0.02
$ 0.00
$ 1.49
Total
$ 1.59
$ 10.79
$ 46.76
$ 1.29
$ 9.74
$ 38.18
$ 1.14
$ 0.11
$ 1.02
$ 0.02
$110.64
Rule Alternative A4
<100
$ 0.23
$ 2.13
$ 3.94
$ 0.18
$ 1.98
$ 3.64
$ 0.17
$ 0.01
$ 0.08
$ 0.00
$ 12.35
100-499
$ 0.27
$ 2.35
$ 4.36
$ 0.21
$ 2.22
$ 4.07
$ 0.20
$ 0.01
$ 0.07
$
$ 13.77
500-999
$ 0.14
$ 0.98
$ 1.83
$ 0.11
$ 0.91
$ 1.66
$ 0.11
$ 0.01
$ 0.05
$
$ 5.80
1,000-3,299
$ 0.29
$ 1.96
$ 3.80
$ 0.23
$ 1.90
$ 3.47
$ 0.22
$ 0.01
$ 0.06
$
$ 11.94
3,300-9,999
$ 0.27
$ 1.80
$ 3.48
$ 0.21
$ 1.75
$ 3.18
$ 0.21
$ 0.01
$ 0.05
$ 0.00
$ 10.97
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.95
$ 14.09
$ 0.19
$ 0.02
$ 0.14
$ 0.01
$ 32.66
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.23
$ 3.38
$ 0.04
$ 0.00
$ 0.04
$ 0.00
$ 7.85
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.20
$ 4.05
$ 0.06
$ 0.01
$ 0.05
$ 0.01
$ 9.26
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.69
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 1.60
Total
$ 1.59
$ 10.79
$ 42.29
$ 1.29
$ 10.17
$ 38.23
$ 1.21
$ 0.06
$ 0.55
$ 0.02
$106.19
Economic Analysis for the LT2ESWTR
December 2005
-------
Uncovered
Second
Second
Finished
Second
Round
Round Bin
Water
Initial E. coli
Initial Crypto
Bin Class.
Round E. coli
Crypto
Class.
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.23
$
$
$
$
$
$
$ 0.02
$ 0.20
$ 0.00
$ 0.45
100-499
$ 0.27
$
$
$
$
$
$
$ 0.02
$ 0.18
$
$ 0.48
500-999
$ 0.14
$
$
$
$
$
$
$ 0.01
$ 0.11
$
$ 0.26
1,000-3,299
$ 0.29
$
$
$
$
$
$
$ 0.14
$ 1.22
$
$ 1.64
3,300-9,999
$ 0.27
$
$
$
$
$
$
$ 0.13
$ 1.14
$ 0.00
$ 1.53
10,000-49,999
$ 0.26
$
$
$
$
$
$
$ 0.15
$ 1.34
$ 0.01
$ 1.76
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.04
$ 0.36
$ 0.00
$ 0.47
100,000-999,99<
$ 0.07
$
$
$
$
$
$
$ 0.05
$ 0.49
$ 0.01
$ 0.62
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.08
$ 0.00
$ 0.10
Total
$ 1.59
$
$
$
$
$
$
$ 0.57
$ 5.12
$ 0.02
$ 7.30
Rule Alternative A2
<100
$ 0.23
$ 2.13
$ 18.26
$ 0.18
$ 1.92
$ 16.45
$ 0.16
$ 0.01
$ 0.12
$ 0.00
$ 39.47
100-499
$ 0.27
$ 2.35
$ 20.09
$ 0.21
$ 2.16
$ 18.42
$ 0.20
$ 0.01
$ 0.11
$
$ 43.81
500-999
$ 0.14
$ 0.98
$ 8.34
$ 0.11
$ 0.89
$ 7.51
$ 0.10
$ 0.01
$ 0.07
$
$ 18.14
1,000-3,299
$ 0.29
$ 1.96
$ 16.86
$ 0.23
$ 1.67
$ 14.14
$ 0.20
$ 0.02
$ 0.21
$
$ 35.59
3,300-9,999
$ 0.27
$ 1.80
$ 15.46
$ 0.21
$ 1.53
$ 12.98
$ 0.18
$ 0.02
$ 0.20
$ 0.00
$ 32.66
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.77
$ 11.45
$ 0.15
$ 0.04
$ 0.37
$ 0.01
$ 30.06
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.19
$ 2.74
$ 0.04
$ 0.01
$ 0.10
$ 0.00
$ 7.23
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.16
$ 3.30
$ 0.05
$ 0.01
$ 0.13
$ 0.01
$ 8.55
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.56
$ 0.01
$ 0.00
$ 0.02
$ 0.00
$ 1.48
Total
$ 1.59
$ 10.79
$ 103.89
$ 1.29
$ 9.32
$ 87.56
$ 1.09
$ 0.15
$ 1.32
$ 0.02
$217.00
Rule Alternative A3
<100
$ 0.23
$ 2.13
$ 4.39
$ 0.18
$ 1.95
$ 4.01
$ 0.17
$ 0.01
$ 0.10
$ 0.00
$ 13.17
100-499
$ 0.27
$ 2.35
$ 4.86
$ 0.21
$ 2.20
$ 4.49
$ 0.20
$ 0.01
$ 0.09
$
$ 14.68
500-999
$ 0.14
$ 0.98
$ 2.03
$ 0.11
$ 0.90
$ 1.83
$ 0.11
$ 0.01
$ 0.06
$
$ 6.17
1,000-3,299
$ 0.29
$ 1.96
$ 4.21
$ 0.23
$ 1.87
$ 3.79
$ 0.22
$ 0.01
$ 0.08
$
$ 12.66
3,300-9,999
$ 0.27
$ 1.80
$ 3.86
$ 0.21
$ 1.72
$ 3.48
$ 0.20
$ 0.01
$ 0.08
$ 0.00
$ 11.64
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.82
$ 12.13
$ 0.16
$ 0.04
$ 0.31
$ 0.01
$ 30.73
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.20
$ 2.91
$ 0.04
$ 0.01
$ 0.08
$ 0.00
$ 7.39
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.17
$ 3.49
$ 0.05
$ 0.01
$ 0.11
$ 0.01
$ 8.73
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.60
$ 0.01
$ 0.00
$ 0.02
$ 0.00
$ 1.51
Total
$ 1.59
$ 10.79
$ 44.24
$ 1.29
$ 9.85
$ 36.73
$ 1.15
$ 0.10
$ 0.91
$ 0.02
$106.68
Rule Alternative A3 UV90-10B
<100
$ 0.23
$ 2.13
$ 4.39
$ 0.18
$ 1.95
$ 4.01
$ 0.17
$ 0.01
$ 0.10
$ 0.00
$ 13.17
100-499
$ 0.27
$ 2.35
$ 4.86
$ 0.21
$ 2.20
$ 4.49
$ 0.20
$ 0.01
$ 0.09
$
$ 14.68
500-999
$ 0.14
$ 0.98
$ 2.03
$ 0.11
$ 0.90
$ 1.83
$ 0.11
$ 0.01
$ 0.06
$
$ 6.17
1,000-3,299
$ 0.29
$ 1.96
$ 4.21
$ 0.23
$ 1.87
$ 3.79
$ 0.22
$ 0.01
$ 0.08
$
$ 12.66
3,300-9,999
$ 0.27
$ 1.80
$ 3.86
$ 0.21
$ 1.71
$ 3.48
$ 0.20
$ 0.01
$ 0.08
$ 0.00
$ 11.63
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.82
$ 12.07
$ 0.16
$ 0.04
$ 0.31
$ 0.01
$ 30.67
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.20
$ 2.89
$ 0.04
$ 0.01
$ 0.09
$ 0.00
$ 7.38
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.17
$ 3.48
$ 0.05
$ 0.01
$ 0.11
$ 0.01
$ 8.72
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.59
$ 0.01
$ 0.00
$ 0.02
$ 0.00
$ 1.51
Total
$ 1.59
$ 10.79
$ 44.24
$ 1.29
$ 9.84
$ 36.65
$ 1.15
$ 0.10
$ 0.92
$ 0.02
$106.60
Rule Alternative A4
<100
$ 0.23
$ 2.13
$ 3.46
$ 0.18
$ 1.98
$ 3.20
$ 0.17
$ 0.01
$ 0.08
$ 0.00
$ 11.44
100-499
$ 0.27
$ 2.35
$ 3.84
$ 0.21
$ 2.23
$ 3.58
$ 0.20
$ 0.01
$ 0.07
$
$ 12.76
500-999
$ 0.14
$ 0.98
$ 1.61
$ 0.11
$ 0.91
$ 1.46
$ 0.11
$ 0.01
$ 0.05
$
$ 5.38
1,000-3,299
$ 0.29
$ 1.96
$ 3.36
$ 0.23
$ 1.91
$ 3.05
$ 0.22
$ 0.01
$ 0.05
$
$ 11.09
3,300-9,999
$ 0.27
$ 1.80
$ 3.09
$ 0.21
$ 1.75
$ 2.80
$ 0.21
$ 0.01
$ 0.05
$ 0.00
$ 10.19
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.97
$ 14.28
$ 0.19
$ 0.01
$ 0.12
$ 0.01
$ 32.85
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.23
$ 3.42
$ 0.05
$ 0.00
$ 0.03
$ 0.00
$ 7.89
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.20
$ 4.10
$ 0.06
$ 0.00
$ 0.04
$ 0.01
$ 9.30
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.70
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 1.61
Total
$ 1.59
$ 10.79
$ 40.24
$ 1.29
$ 10.21
$ 36.60
$ 1.22
$ 0.06
$ 0.51
$ 0.02
$102.51
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.5f: Im
jlementation and Monitoring
- Nominal Value (ICRSSM, High)
Uncovered
Second
Second
Finished
Second
Round
Round Bin
Water
Initial E. coli
Initial Crypto
Bin Class.
Round E. coli
Crypto
Class.
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.23
$
$
$
$
$
$
$ 0.02
$ 0.20
$ 0.00
$ 0.45
100-499
$ 0.27
$
$
$
$
$
$
$ 0.02
$ 0.18
$
$ 0.48
500-999
$ 0.14
$
$
$
$
$
$
$ 0.01
$ 0.11
$
$ 0.26
1,000-3,299
$ 0.29
$
$
$
$
$
$
$ 0.14
$ 1.22
$
$ 1.64
3,300-9,999
$ 0.27
$
$
$
$
$
$
$ 0.13
$ 1.14
$ 0.00
$ 1.53
10,000-49,999
$ 0.26
$
$
$
$
$
$
$ 0.15
$ 1.34
$ 0.01
$ 1.76
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.04
$ 0.36
$ 0.00
$ 0.47
100,000-999,99<
$ 0.07
$
$
$
$
$
$
$ 0.05
$ 0.49
$ 0.01
$ 0.62
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.08
$ 0.00
$ 0.10
Total
$ 1.59
$
$
$
$
$
$
$ 0.57
$ 5.12
$ 0.02
$ 7.30
Rule Alternative A2
<100
$ 0.23
$ 2.13
$ 18.26
$ 0.18
$ 1.89
$ 16.18
$ 0.16
$ 0.02
$ 0.14
$ 0.00
$ 39.18
100-499
$ 0.27
$ 2.35
$ 20.09
$ 0.21
$ 2.13
$ 18.12
$ 0.19
$ 0.01
$ 0.13
$
$ 43.50
500-999
$ 0.14
$ 0.98
$ 8.34
$ 0.11
$ 0.87
$ 7.39
$ 0.10
$ 0.01
$ 0.08
$
$ 18.02
1,000-3,299
$ 0.29
$ 1.96
$ 16.86
$ 0.23
$ 1.60
$ 13.52
$ 0.19
$ 0.03
$ 0.26
$
$ 34.93
3,300-9,999
$ 0.27
$ 1.80
$ 15.46
$ 0.21
$ 1.47
$ 12.41
$ 0.17
$ 0.03
$ 0.24
$ 0.00
$ 32.07
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.71
$ 10.54
$ 0.14
$ 0.05
$ 0.44
$ 0.01
$ 29.16
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.17
$ 2.53
$ 0.03
$ 0.01
$ 0.12
$ 0.00
$ 7.02
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.15
$ 3.05
$ 0.05
$ 0.02
$ 0.16
$ 0.01
$ 8.31
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.52
$ 0.01
$ 0.00
$ 0.03
$ 0.00
$ 1.44
Total
$ 1.59
$ 10.79
$ 103.89
$ 1.29
$ 9.01
$ 84.24
$ 1.04
$ 0.18
$ 1.59
$ 0.02
$213.64
Rule Alternative A3
<100
$ 0.23
$ 2.13
$ 5.47
$ 0.18
$ 1.94
$ 4.96
$ 0.16
$ 0.01
$ 0.11
$ 0.00
$ 15.19
100-499
$ 0.27
$ 2.35
$ 6.05
$ 0.21
$ 2.18
$ 5.55
$ 0.20
$ 0.01
$ 0.10
$
$ 16.92
500-999
$ 0.14
$ 0.98
$ 2.53
$ 0.11
$ 0.89
$ 2.26
$ 0.10
$ 0.01
$ 0.06
$
$ 7.09
1,000-3,299
$ 0.29
$ 1.96
$ 5.20
$ 0.23
$ 1.83
$ 4.65
$ 0.22
$ 0.01
$ 0.10
$
$ 14.49
3,300-9,999
$ 0.27
$ 1.80
$ 4.77
$ 0.21
$ 1.69
$ 4.27
$ 0.20
$ 0.01
$ 0.10
$ 0.00
$ 13.32
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.77
$ 11.32
$ 0.15
$ 0.04
$ 0.38
$ 0.01
$ 29.93
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.18
$ 2.71
$ 0.04
$ 0.01
$ 0.10
$ 0.00
$ 7.20
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.16
$ 3.27
$ 0.05
$ 0.02
$ 0.13
$ 0.01
$ 8.52
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.56
$ 0.01
$ 0.00
$ 0.02
$ 0.00
$ 1.48
Total
$ 1.59
$ 10.79
$ 48.90
$ 1.29
$ 9.66
$ 39.55
$ 1.13
$ 0.12
$ 1.10
$ 0.02
$114.15
Rule Alternative A3 UV90-10B
<100
$ 0.23
$ 2.13
$ 5.47
$ 0.18
$ 1.94
$ 4.96
$ 0.16
$ 0.01
$ 0.11
$ 0.00
$ 15.19
100-499
$ 0.27
$ 2.35
$ 6.05
$ 0.21
$ 2.18
$ 5.55
$ 0.20
$ 0.01
$ 0.10
$
$ 16.92
500-999
$ 0.14
$ 0.98
$ 2.53
$ 0.11
$ 0.89
$ 2.26
$ 0.10
$ 0.01
$ 0.06
$
$ 7.09
1,000-3,299
$ 0.29
$ 1.96
$ 5.20
$ 0.23
$ 1.83
$ 4.65
$ 0.22
$ 0.01
$ 0.10
$
$ 14.49
3,300-9,999
$ 0.27
$ 1.80
$ 4.77
$ 0.21
$ 1.68
$ 4.26
$ 0.20
$ 0.01
$ 0.10
$ 0.00
$ 13.31
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.76
$ 11.25
$ 0.15
$ 0.04
$ 0.38
$ 0.01
$ 29.86
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.18
$ 2.70
$ 0.04
$ 0.01
$ 0.10
$ 0.00
$ 7.19
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.16
$ 3.25
$ 0.05
$ 0.02
$ 0.13
$ 0.01
$ 8.50
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.55
$ 0.01
$ 0.00
$ 0.02
$ 0.00
$ 1.48
Total
$ 1.59
$ 10.79
$ 48.90
$ 1.29
$ 9.66
$ 39.44
$ 1.12
$ 0.12
$ 1.11
$ 0.02
$114.04
Rule Alternative A4
<100
$ 0.23
$ 2.13
$ 4.38
$ 0.18
$ 1.97
$ 4.04
$ 0.17
$ 0.01
$ 0.08
$ 0.00
$ 13.18
100-499
$ 0.27
$ 2.35
$ 4.84
$ 0.21
$ 2.22
$ 4.52
$ 0.20
$ 0.01
$ 0.07
$
$ 14.70
500-999
$ 0.14
$ 0.98
$ 2.03
$ 0.11
$ 0.91
$ 1.84
$ 0.11
$ 0.01
$ 0.05
$
$ 6.18
1,000-3,299
$ 0.29
$ 1.96
$ 4.20
$ 0.23
$ 1.90
$ 3.85
$ 0.22
$ 0.01
$ 0.06
$
$ 12.72
3,300-9,999
$ 0.27
$ 1.80
$ 3.85
$ 0.21
$ 1.74
$ 3.53
$ 0.21
$ 0.01
$ 0.06
$ 0.00
$ 11.68
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.94
$ 13.92
$ 0.18
$ 0.02
$ 0.15
$ 0.01
$ 32.50
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.23
$ 3.33
$ 0.04
$ 0.00
$ 0.04
$ 0.00
$ 7.81
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.20
$ 4.01
$ 0.06
$ 0.01
$ 0.05
$ 0.01
$ 9.21
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.68
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 1.60
Total
$ 1.59
$ 10.79
$ 44.17
$ 1.29
$ 10.14
$ 39.72
$ 1.20
$ 0.06
$ 0.58
$ 0.02
$109.56
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.5g: Im
plementation and Monitorinc
- Nominal Value (ICRSSL, Mean)
Uncovered
Second
Second
Finished
Second
Round
Round Bin
Water
Initial E. coli
Initial Crypto
Bin Class.
Round E. coli
Crypto
Class.
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.23
$
$
$
$
$
$
$ 0.02
$ 0.20
$ 0.00
$ 0.45
100-499
$ 0.27
$
$
$
$
$
$
$ 0.02
$ 0.18
$
$ 0.48
500-999
$ 0.14
$
$
$
$
$
$
$ 0.01
$ 0.11
$
$ 0.26
1,000-3,299
$ 0.29
$
$
$
$
$
$
$ 0.14
$ 1.22
$
$ 1.64
3,300-9,999
$ 0.27
$
$
$
$
$
$
$ 0.13
$ 1.14
$ 0.00
$ 1.53
10,000-49,999
$ 0.26
$
$
$
$
$
$
$ 0.15
$ 1.34
$ 0.01
$ 1.76
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.04
$ 0.36
$ 0.00
$ 0.47
100,000-999,99<
$ 0.07
$
$
$
$
$
$
$ 0.05
$ 0.49
$ 0.01
$ 0.62
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.08
$ 0.00
$ 0.10
Total
$ 1.59
$
$
$
$
$
$
$ 0.57
$ 5.12
$ 0.02
$ 7.30
Rule Alternative A2
<100
$ 0.23
$ 2.13
$ 18.26
$ 0.18
$ 1.93
$ 16.50
$ 0.16
$ 0.01
$ 0.11
$ 0.00
$ 39.52
100-499
$ 0.27
$ 2.35
$ 20.09
$ 0.21
$ 2.17
$ 18.47
$ 0.20
$ 0.01
$ 0.10
$
$ 43.87
500-999
$ 0.14
$ 0.98
$ 8.34
$ 0.11
$ 0.89
$ 7.53
$ 0.10
$ 0.01
$ 0.06
$
$ 18.17
1,000-3,299
$ 0.29
$ 1.96
$ 16.86
$ 0.23
$ 1.70
$ 14.38
$ 0.20
$ 0.02
$ 0.19
$
$ 35.84
3,300-9,999
$ 0.27
$ 1.80
$ 15.46
$ 0.21
$ 1.56
$ 13.19
$ 0.19
$ 0.02
$ 0.18
$ 0.00
$ 32.89
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.78
$ 11.56
$ 0.15
$ 0.04
$ 0.36
$ 0.01
$ 30.16
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.19
$ 2.77
$ 0.04
$ 0.01
$ 0.10
$ 0.00
$ 7.26
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.16
$ 3.34
$ 0.05
$ 0.01
$ 0.13
$ 0.01
$ 8.58
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.57
$ 0.01
$ 0.00
$ 0.02
$ 0.00
$ 1.49
Total
$ 1.59
$ 10.79
$ 103.89
$ 1.29
$ 9.40
$ 88.31
$ 1.10
$ 0.14
$ 1.26
$ 0.02
$217.78
Rule Alternative A3
<100
$ 0.23
$ 2.13
$ 4.09
$ 0.18
$ 1.96
$ 3.75
$ 0.17
$ 0.01
$ 0.09
$ 0.00
$ 12.61
100-499
$ 0.27
$ 2.35
$ 4.53
$ 0.21
$ 2.20
$ 4.20
$ 0.20
$ 0.01
$ 0.08
$
$ 14.06
500-999
$ 0.14
$ 0.98
$ 1.90
$ 0.11
$ 0.90
$ 1.71
$ 0.11
$ 0.01
$ 0.05
$
$ 5.91
1,000-3,299
$ 0.29
$ 1.96
$ 3.94
$ 0.23
$ 1.88
$ 3.56
$ 0.22
$ 0.01
$ 0.07
$
$ 12.16
3,300-9,999
$ 0.27
$ 1.80
$ 3.62
$ 0.21
$ 1.73
$ 3.27
$ 0.21
$ 0.01
$ 0.07
$ 0.00
$ 11.18
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.84
$ 12.35
$ 0.16
$ 0.03
$ 0.29
$ 0.01
$ 30.95
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.20
$ 2.96
$ 0.04
$ 0.01
$ 0.08
$ 0.00
$ 7.44
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.17
$ 3.56
$ 0.05
$ 0.01
$ 0.10
$ 0.01
$ 8.79
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.61
$ 0.01
$ 0.00
$ 0.02
$ 0.00
$ 1.52
Total
$ 1.59
$ 10.79
$ 42.97
$ 1.29
$ 9.91
$ 35.95
$ 1.16
$ 0.10
$ 0.86
$ 0.02
$104.63
Rule Alternative A3 UV90-10B
<100
$ 0.23
$ 2.13
$ 4.09
$ 0.18
$ 1.96
$ 3.75
$ 0.17
$ 0.01
$ 0.09
$ 0.00
$ 12.61
100-499
$ 0.27
$ 2.35
$ 4.53
$ 0.21
$ 2.20
$ 4.20
$ 0.20
$ 0.01
$ 0.08
$
$ 14.06
500-999
$ 0.14
$ 0.98
$ 1.90
$ 0.11
$ 0.90
$ 1.71
$ 0.11
$ 0.01
$ 0.05
$
$ 5.91
1,000-3,299
$ 0.29
$ 1.96
$ 3.94
$ 0.23
$ 1.88
$ 3.56
$ 0.22
$ 0.01
$ 0.07
$
$ 12.16
3,300-9,999
$ 0.27
$ 1.80
$ 3.62
$ 0.21
$ 1.72
$ 3.26
$ 0.21
$ 0.01
$ 0.07
$ 0.00
$ 11.17
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.83
$ 12.30
$ 0.16
$ 0.03
$ 0.29
$ 0.01
$ 30.90
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.20
$ 2.95
$ 0.04
$ 0.01
$ 0.08
$ 0.00
$ 7.43
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.17
$ 3.55
$ 0.05
$ 0.01
$ 0.10
$ 0.01
$ 8.78
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.60
$ 0.01
$ 0.00
$ 0.02
$ 0.00
$ 1.52
Total
$ 1.59
$ 10.79
$ 42.97
$ 1.29
$ 9.90
$ 35.88
$ 1.16
$ 0.10
$ 0.87
$ 0.02
$104.56
Rule Alternative A4
<100
$ 0.23
$ 2.13
$ 2.93
$ 0.18
$ 1.99
$ 2.72
$ 0.17
$ 0.01
$ 0.08
$ 0.00
$ 10.43
100-499
$ 0.27
$ 2.35
$ 3.26
$ 0.21
$ 2.23
$ 3.04
$ 0.20
$ 0.01
$ 0.07
$
$ 11.65
500-999
$ 0.14
$ 0.98
$ 1.37
$ 0.11
$ 0.91
$ 1.24
$ 0.11
$ 0.01
$ 0.05
$
$ 4.92
1,000-3,299
$ 0.29
$ 1.96
$ 2.88
$ 0.23
$ 1.91
$ 2.59
$ 0.22
$ 0.01
$ 0.05
$
$ 10.15
3,300-9,999
$ 0.27
$ 1.80
$ 2.65
$ 0.21
$ 1.75
$ 2.37
$ 0.21
$ 0.01
$ 0.05
$ 0.00
$ 9.32
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.98
$ 14.48
$ 0.19
$ 0.01
$ 0.11
$ 0.01
$ 33.05
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.23
$ 3.47
$ 0.05
$ 0.00
$ 0.03
$ 0.00
$ 7.94
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.20
$ 4.16
$ 0.06
$ 0.00
$ 0.04
$ 0.01
$ 9.36
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.71
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 1.62
Total
$ 1.59
$ 10.79
$ 37.98
$ 1.29
$ 10.25
$ 34.79
$ 1.22
$ 0.05
$ 0.47
$ 0.02
$ 98.44
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.5h: Implementation and Monitoring - Nominal Value (ICRSSL, Low)
Uncovered
Second
Second
Finished
Second
Round
Round Bin
Water
Initial E. coli
Initial Crypto
Bin Class.
Round E. coli
Crypto
Class.
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.23
$
$
$
$
$
$
$ 0.02
$ 0.20
$ 0.00
$ 0.45
100-499
$ 0.27
$
$
$
$
$
$
$ 0.02
$ 0.18
$
$ 0.48
500-999
$ 0.14
$
$
$
$
$
$
$ 0.01
$ 0.11
$
$ 0.26
1,000-3,299
$ 0.29
$
$
$
$
$
$
$ 0.14
$ 1.22
$
$ 1.64
3,300-9,999
$ 0.27
$
$
$
$
$
$
$ 0.13
$ 1.14
$ 0.00
$ 1.53
10,000-49,999
$ 0.26
$
$
$
$
$
$
$ 0.15
$ 1.34
$ 0.01
$ 1.76
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.04
$ 0.36
$ 0.00
$ 0.47
100,000-999,99<
$ 0.07
$
$
$
$
$
$
$ 0.05
$ 0.49
$ 0.01
$ 0.62
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.08
$ 0.00
$ 0.10
Total
$ 1.59
$
$
$
$
$
$
$ 0.57
$ 5.12
$ 0.02
$ 7.30
Rule Alternative A2
<100
$ 0.23
$ 2.13
$ 18.26
$ 0.18
$ 1.94
$ 16.63
$ 0.16
$ 0.01
$ 0.10
$ 0.00
$ 39.65
100-499
$ 0.27
$ 2.35
$ 20.09
$ 0.21
$ 2.19
$ 18.61
$ 0.20
$ 0.01
$ 0.09
$
$ 44.02
500-999
$ 0.14
$ 0.98
$ 8.34
$ 0.11
$ 0.90
$ 7.59
$ 0.11
$ 0.01
$ 0.06
$
$ 18.23
1,000-3,299
$ 0.29
$ 1.96
$ 16.86
$ 0.23
$ 1.75
$ 14.83
$ 0.21
$ 0.02
$ 0.16
$
$ 36.30
3,300-9,999
$ 0.27
$ 1.80
$ 15.46
$ 0.21
$ 1.61
$ 13.60
$ 0.19
$ 0.02
$ 0.15
$ 0.00
$ 33.31
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.83
$ 12.23
$ 0.16
$ 0.03
$ 0.30
$ 0.01
$ 30.83
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.20
$ 2.93
$ 0.04
$ 0.01
$ 0.08
$ 0.00
$ 7.42
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.17
$ 3.53
$ 0.05
$ 0.01
$ 0.10
$ 0.01
$ 8.76
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.60
$ 0.01
$ 0.00
$ 0.02
$ 0.00
$ 1.52
Total
$ 1.59
$ 10.79
$ 103.89
$ 1.29
$ 9.61
$ 90.55
$ 1.13
$ 0.12
$ 1.07
$ 0.02
$220.05
Rule Alternative A3
<100
$ 0.23
$ 2.13
$ 3.24
$ 0.18
$ 1.97
$ 2.98
$ 0.17
$ 0.01
$ 0.09
$ 0.00
$ 10.99
100-499
$ 0.27
$ 2.35
$ 3.59
$ 0.21
$ 2.21
$ 3.33
$ 0.20
$ 0.01
$ 0.08
$
$ 12.26
500-999
$ 0.14
$ 0.98
$ 1.51
$ 0.11
$ 0.91
$ 1.36
$ 0.11
$ 0.01
$ 0.05
$
$ 5.17
1,000-3,299
$ 0.29
$ 1.96
$ 3.16
$ 0.23
$ 1.89
$ 2.83
$ 0.22
$ 0.01
$ 0.06
$
$ 10.66
3,300-9,999
$ 0.27
$ 1.80
$ 2.90
$ 0.21
$ 1.74
$ 2.60
$ 0.21
$ 0.01
$ 0.06
$ 0.00
$ 9.80
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.88
$ 12.98
$ 0.17
$ 0.03
$ 0.23
$ 0.01
$ 31.56
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.21
$ 3.11
$ 0.04
$ 0.01
$ 0.06
$ 0.00
$ 7.59
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.18
$ 3.73
$ 0.06
$ 0.01
$ 0.08
$ 0.01
$ 8.95
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.64
$ 0.01
$ 0.00
$ 0.02
$ 0.00
$ 1.55
Total
$ 1.59
$ 10.79
$ 39.28
$ 1.29
$ 10.02
$ 33.55
$ 1.18
$ 0.08
$ 0.73
$ 0.02
$ 98.54
Rule Alternative A3 UV90-10B
<100
$ 0.23
$ 2.13
$ 3.24
$ 0.18
$ 1.97
$ 2.98
$ 0.17
$ 0.01
$ 0.09
$ 0.00
$ 10.99
100-499
$ 0.27
$ 2.35
$ 3.59
$ 0.21
$ 2.21
$ 3.33
$ 0.20
$ 0.01
$ 0.08
$
$ 12.26
500-999
$ 0.14
$ 0.98
$ 1.51
$ 0.11
$ 0.91
$ 1.36
$ 0.11
$ 0.01
$ 0.05
$
$ 5.17
1,000-3,299
$ 0.29
$ 1.96
$ 3.16
$ 0.23
$ 1.89
$ 2.83
$ 0.22
$ 0.01
$ 0.06
$
$ 10.66
3,300-9,999
$ 0.27
$ 1.80
$ 2.90
$ 0.21
$ 1.74
$ 2.60
$ 0.21
$ 0.01
$ 0.06
$ 0.00
$ 9.80
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.88
$ 12.94
$ 0.17
$ 0.03
$ 0.24
$ 0.01
$ 31.53
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.21
$ 3.10
$ 0.04
$ 0.01
$ 0.07
$ 0.00
$ 7.58
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.18
$ 3.72
$ 0.06
$ 0.01
$ 0.08
$ 0.01
$ 8.95
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.63
$ 0.01
$ 0.00
$ 0.02
$ 0.00
$ 1.55
Total
$ 1.59
$ 10.79
$ 39.28
$ 1.29
$ 10.02
$ 33.50
$ 1.18
$ 0.08
$ 0.74
$ 0.02
$ 98.49
Rule Alternative A4
<100
$ 0.23
$ 2.13
$ 2.27
$ 0.18
$ 1.99
$ 2.11
$ 0.17
$ 0.01
$ 0.07
$ 0.00
$ 9.16
100-499
$ 0.27
$ 2.35
$ 2.53
$ 0.21
$ 2.24
$ 2.36
$ 0.20
$ 0.01
$ 0.06
$
$ 10.24
500-999
$ 0.14
$ 0.98
$ 1.07
$ 0.11
$ 0.92
$ 0.96
$ 0.11
$ 0.00
$ 0.04
$
$ 4.34
1,000-3,299
$ 0.29
$ 1.96
$ 2.28
$ 0.23
$ 1.91
$ 2.01
$ 0.22
$ 0.01
$ 0.05
$
$ 8.96
3,300-9,999
$ 0.27
$ 1.80
$ 2.09
$ 0.21
$ 1.76
$ 1.84
$ 0.21
$ 0.01
$ 0.05
$ 0.00
$ 8.24
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.99
$ 14.68
$ 0.19
$ 0.01
$ 0.09
$ 0.01
$ 33.24
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.24
$ 3.52
$ 0.05
$ 0.00
$ 0.02
$ 0.00
$ 7.99
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.21
$ 4.21
$ 0.06
$ 0.00
$ 0.03
$ 0.01
$ 9.41
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.04
$ 0.72
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 1.63
Total
$ 1.59
$ 10.79
$ 35.12
$ 1.29
$ 10.29
$ 32.40
$ 1.23
$ 0.05
$ 0.43
$ 0.02
$ 93.19
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.5i: Im
plementation and Monitorinc
- Nominal Value (ICRSSL, High)
Uncovered
Second
Second
Finished
Second
Round
Round Bin
Water
Initial E. coli
Initial Crypto
Bin Class.
Round E. coli
Crypto
Class.
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.23
$
$
$
$
$
$
$ 0.02
$ 0.20
$ 0.00
$ 0.45
100-499
$ 0.27
$
$
$
$
$
$
$ 0.02
$ 0.18
$
$ 0.48
500-999
$ 0.14
$
$
$
$
$
$
$ 0.01
$ 0.11
$
$ 0.26
1,000-3,299
$ 0.29
$
$
$
$
$
$
$ 0.14
$ 1.22
$
$ 1.64
3,300-9,999
$ 0.27
$
$
$
$
$
$
$ 0.13
$ 1.14
$ 0.00
$ 1.53
10,000-49,999
$ 0.26
$
$
$
$
$
$
$ 0.15
$ 1.34
$ 0.01
$ 1.76
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.04
$ 0.36
$ 0.00
$ 0.47
100,000-999,99<
$ 0.07
$
$
$
$
$
$
$ 0.05
$ 0.49
$ 0.01
$ 0.62
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.08
$ 0.00
$ 0.10
Total
$ 1.59
$
$
$
$
$
$
$ 0.57
$ 5.12
$ 0.02
$ 7.30
Rule Alternative A2
<100
$ 0.23
$ 2.13
$ 18.26
$ 0.18
$ 1.91
$ 16.38
$ 0.16
$ 0.01
$ 0.12
$ 0.00
$ 39.39
100-499
$ 0.27
$ 2.35
$ 20.09
$ 0.21
$ 2.15
$ 18.34
$ 0.20
$ 0.01
$ 0.11
$
$ 43.73
500-999
$ 0.14
$ 0.98
$ 8.34
$ 0.11
$ 0.88
$ 7.48
$ 0.10
$ 0.01
$ 0.07
$
$ 18.11
1,000-3,299
$ 0.29
$ 1.96
$ 16.86
$ 0.23
$ 1.66
$ 14.05
$ 0.19
$ 0.02
$ 0.22
$
$ 35.49
3,300-9,999
$ 0.27
$ 1.80
$ 15.46
$ 0.21
$ 1.52
$ 12.89
$ 0.18
$ 0.02
$ 0.20
$ 0.00
$ 32.57
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.75
$ 11.02
$ 0.15
$ 0.05
$ 0.40
$ 0.01
$ 29.64
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.18
$ 2.64
$ 0.03
$ 0.01
$ 0.11
$ 0.00
$ 7.13
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.16
$ 3.19
$ 0.05
$ 0.02
$ 0.14
$ 0.01
$ 8.44
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.54
$ 0.01
$ 0.00
$ 0.03
$ 0.00
$ 1.47
Total
$ 1.59
$ 10.79
$ 103.89
$ 1.29
$ 9.24
$ 86.53
$ 1.07
$ 0.16
$ 1.40
$ 0.02
$215.98
Rule Alternative A3
<100
$ 0.23
$ 2.13
$ 4.68
$ 0.18
$ 1.95
$ 4.27
$ 0.17
$ 0.01
$ 0.10
$ 0.00
$ 13.71
100-499
$ 0.27
$ 2.35
$ 5.18
$ 0.21
$ 2.19
$ 4.78
$ 0.20
$ 0.01
$ 0.09
$
$ 15.28
500-999
$ 0.14
$ 0.98
$ 2.16
$ 0.11
$ 0.90
$ 1.95
$ 0.11
$ 0.01
$ 0.06
$
$ 6.42
1,000-3,299
$ 0.29
$ 1.96
$ 4.47
$ 0.23
$ 1.87
$ 4.04
$ 0.22
$ 0.01
$ 0.08
$
$ 13.17
3,300-9,999
$ 0.27
$ 1.80
$ 4.10
$ 0.21
$ 1.72
$ 3.71
$ 0.20
$ 0.01
$ 0.08
$ 0.00
$ 12.11
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.81
$ 11.92
$ 0.16
$ 0.04
$ 0.33
$ 0.01
$ 30.52
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.19
$ 2.86
$ 0.04
$ 0.01
$ 0.09
$ 0.00
$ 7.34
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.17
$ 3.44
$ 0.05
$ 0.01
$ 0.11
$ 0.01
$ 8.68
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.59
$ 0.01
$ 0.00
$ 0.02
$ 0.00
$ 1.51
Total
$ 1.59
$ 10.79
$ 45.48
$ 1.29
$ 9.82
$ 37.55
$ 1.15
$ 0.11
$ 0.95
$ 0.02
$108.74
Rule Alternative A3 UV90-10B
<100
$ 0.23
$ 2.13
$ 4.68
$ 0.18
$ 1.95
$ 4.27
$ 0.17
$ 0.01
$ 0.10
$ 0.00
$ 13.71
100-499
$ 0.27
$ 2.35
$ 5.18
$ 0.21
$ 2.19
$ 4.78
$ 0.20
$ 0.01
$ 0.09
$
$ 15.28
500-999
$ 0.14
$ 0.98
$ 2.16
$ 0.11
$ 0.90
$ 1.95
$ 0.11
$ 0.01
$ 0.06
$
$ 6.42
1,000-3,299
$ 0.29
$ 1.96
$ 4.47
$ 0.23
$ 1.87
$ 4.04
$ 0.22
$ 0.01
$ 0.08
$
$ 13.17
3,300-9,999
$ 0.27
$ 1.80
$ 4.10
$ 0.21
$ 1.71
$ 3.71
$ 0.20
$ 0.01
$ 0.08
$ 0.00
$ 12.10
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.80
$ 11.87
$ 0.16
$ 0.04
$ 0.33
$ 0.01
$ 30.47
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.19
$ 2.84
$ 0.04
$ 0.01
$ 0.09
$ 0.00
$ 7.33
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.17
$ 3.43
$ 0.05
$ 0.01
$ 0.12
$ 0.01
$ 8.67
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.58
$ 0.01
$ 0.00
$ 0.02
$ 0.00
$ 1.50
Total
$ 1.59
$ 10.79
$ 45.48
$ 1.29
$ 9.82
$ 37.46
$ 1.15
$ 0.11
$ 0.96
$ 0.02
$108.65
Rule Alternative A4
<100
$ 0.23
$ 2.13
$ 3.52
$ 0.18
$ 1.98
$ 3.26
$ 0.17
$ 0.01
$ 0.08
$ 0.00
$ 11.55
100-499
$ 0.27
$ 2.35
$ 3.90
$ 0.21
$ 2.23
$ 3.64
$ 0.20
$ 0.01
$ 0.07
$
$ 12.89
500-999
$ 0.14
$ 0.98
$ 1.64
$ 0.11
$ 0.91
$ 1.49
$ 0.11
$ 0.01
$ 0.05
$
$ 5.43
1,000-3,299
$ 0.29
$ 1.96
$ 3.41
$ 0.23
$ 1.91
$ 3.10
$ 0.22
$ 0.01
$ 0.05
$
$ 11.19
3,300-9,999
$ 0.27
$ 1.80
$ 3.14
$ 0.21
$ 1.75
$ 2.84
$ 0.21
$ 0.01
$ 0.05
$ 0.00
$ 10.28
10,000-49,999
$ 0.26
$ 1.05
$ 15.76
$ 0.21
$ 0.97
$ 14.28
$ 0.19
$ 0.01
$ 0.12
$ 0.01
$ 32.85
50,000-99,999
$ 0.06
$ 0.25
$ 3.79
$ 0.05
$ 0.23
$ 3.42
$ 0.05
$ 0.00
$ 0.03
$ 0.00
$ 7.89
100,000-999,99<
$ 0.07
$ 0.22
$ 4.53
$ 0.07
$ 0.20
$ 4.11
$ 0.06
$ 0.00
$ 0.04
$ 0.01
$ 9.31
1,000,000+
$ 0.01
$ 0.04
$ 0.81
$ 0.01
$ 0.03
$ 0.70
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 1.61
Total
$ 1.59
$ 10.79
$ 40.49
$ 1.29
$ 10.21
$ 36.84
$ 1.22
$ 0.06
$ 0.51
$ 0.02
$103.01
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.6a: Treatment Uncertainty - Nominal Value (ICR)
Filtered Treatment Capital
Filtered Treatment O&M
Unfiltered Treatment Capital
Unfiltered Treatment O&M
Uncovered Reservoirs Capital
Uncovered Reservoirs O&M
Total
5th
95th
5th
95th
5th
95th
5th
95th
5th
95th
5th
95th
Size Category
Percentile
Vlean
Percentile
Percentile
Mean
Percentile
Percentile
Mean
Percentile
Percentile
Mean
Percentile
Percentile
Mean
Percentile
Percentile
Mean
Percentile
5th Percentile
Mean
95th Percentile
A
B
C
D
E
F
G
H
I
J
K
L
M
N
0
P
Q
R
S
T
U
Rule Alternative A1
<100
$
18.08
$
21.56
$
25.03
$
1.63
$
1.76
$ 1.88
o
o
o
o
$
0.02
$
0.00
$
0.00
$
0.00
$
0.01
o
o
$
0.01
$
0.00
$
0.00
$
0.00
$
19.73
$
23.35
$
26.95
100-499
$
27.07
$
31.91
$
36.76
$
2.81
$
3.05
$
3.28
$ 0.08
$ 0.11
$
0.13
$
0.02
$
0.02
$
0.02
$
$ -
$
$
$ -
$
$
29.98
$
35.09
$
40.19
500-999
$
18.44
$
21.64
$
24.84
$
2.69
$
2.94
$
3.19
$ 0.25
$ 0.29
$
0.33
$
0.03
$
0.03
$
0.04
$
$ -
$
$
$ -
$
$
21.40
$
24.90
$
28.40
1,000-3,299
$
97.54
$
117.98
$
138.25
$
9.49
$
10.40
$
11.32
$ 1.90
$ 2.22
$
2.54
$
0.17
$
0.19
$
0.20
$
$ -
$
$
$ -
$
$
109.11
$
130.80
$
152.31
3,300-9,999
$
300.50
$
367.54
$
434.24
$
13.69
$
14.87
$
16.05
$ 5.44
$ 6.44
$
7.45
$
0.23
$
0.25
$
0.27
$
0.13
$ 0.13
$
0.13
$
0.00
$
0.00
$
0.00
$
320.00
$
389.24
$
458.15
10,000-49,999
$
938.87
$1,072.03
$ 1,205.65
$
41.61
$
44.12
$
46.65
$ 8.10
$ 9.55
$
11.01
$
0.38
$
0.41
$
0.44
$
8.97
$ 8.97
$
8.97
$
0.27
$
0.27
$
0.27
$
998.20
$1,135.35
$
1,272.99
50,000-99,999
$
562.97
$
646.03
$
728.71
$
21.35
$
22.62
$
23.91
$ 6.34
$ 7.55
$
8.76
$
0.24
$
0.26
$
0.28
$
2.30
$ 2.30
$
2.30
$
0.11
$
0.11
$
0.11
$
593.31
$
678.86
$
764.07
100,000-999,999
$
1,637.96
$1,868.25
$ 2,098.30
$
71.51
$
75.73
$
80.02
$ 18.75
$ 22.19
$
25.66
$
0.94
$
1.02
$
1.10
$
88.04
$ 88.04
$
88.04
$
3.11
$
3.11
$
3.11
$
1,820.31
$2,058.35
$
2,296.23
1,000,000+
$
731.32
$
833.39
$
935.46
$
40.67
$
43.05
$
45.45
$372.23
$468.62
$ 563.83
$
1.20
$
1.34
$
1.48
$
17.57
$ 17.57
$
17.57
$
0.57
$
0.57
$
0.57
$
1,163.56
$1,364.55
$
1,564.36
Total
$ 4,332.74
$4,980.35
$ 5,627.23
$
205.45
$218.54
$
231.76
$413.11
$516.98
$
619.74
$
3.22
$
3.52
$
3.82
$
117.03
$117.03
$
117.03
$
4.07
$
4.07
$
4.07
$
5,075.61
$5,840.49
$
6,603.64
Rule Alternative A2
<100
$
8.44
$
10.11
$
12.72
$
0.76
$
0.89
$
1.07
$ 0.01
$ 0.01
$
0.02
$
0.00
$
0.00
$
0.00
$
0.01
$ 0.01
$
0.01
$
0.00
$
0.00
$
0.00
$
9.22
$
11.02
$
13.83
100-499
$
12.52
$
15.14
$
19.07
$
1.10
$
1.27
$
1.53
$ 0.08
$ 0.11
$
0.13
$
0.02
$
0.02
$
0.02
$
$ -
$
$
$ -
$
$
13.71
$
16.53
$
20.75
500-999
$
8.56
$
10.41
$
13.12
$
0.84
$
0.96
$
1.15
$ 0.25
$ 0.29
$
0.33
$
0.03
$
0.03
$
0.04
$
$ -
$
$
$ -
$
$
9.68
$
11.69
$
14.64
1,000-3,299
$
34.56
$
42.87
$
54.94
$
2.86
$
3.30
$
4.00
$ 1.90
$ 2.22
$
2.54
$
0.17
$
0.19
$
0.20
$
$ -
$
$
$ -
$
$
39.50
$
48.58
$
61.69
3,300-9,999
$
98.04
$
122.76
$
158.53
$
4.84
$
5.49
$
6.61
$ 5.44
$ 6.44
$
7.45
$
0.23
$
0.25
$
0.27
$
0.13
$ 0.13
$
0.13
$
0.00
$
0.00
$
0.00
$
108.70
$
135.08
$
172.99
10,000-49,999
$
293.46
$
357.49
$
455.42
$
12.65
$
14.24
$
17.03
$ 8.10
$ 9.55
$
11.01
$
0.38
$
0.41
$
0.44
$
8.97
$ 8.97
$
8.97
$
0.27
$
0.27
$
0.27
$
323.83
$
390.93
$
493.14
50,000-99,999
$
174.33
$
214.73
$
275.63
$
6.01
$
6.80
$
8.10
$ 6.34
$ 7.55
$
8.76
$
0.24
$
0.26
$
0.28
$
2.30
$ 2.30
$
2.30
$
0.11
$
0.11
$
0.11
$
189.33
$
231.74
$
295.19
100,000-999,999
$
493.86
$
605.53
$
772.24
$
18.70
$
21.24
$
25.29
$ 18.75
$ 22.19
$
25.66
$
0.94
$
1.02
$
1.10
$
88.04
$ 88.04
$
88.04
$
3.11
$
3.11
$
3.11
$
623.41
$
741.14
$
915.45
1,000,000+
$
218.69
$
267.82
$
341.16
$
10.31
$
11.75
$
14.00
$372.23
$468.62
$
563.83
$
1.20
$
1.34
$
1.48
$
17.57
$ 17.57
$
17.57
$
0.57
$
0.57
$
0.57
$
620.56
$
767.68
$
938.61
Total
$ 1,342.46
$1,646.85
$ 2,102.83
$
58.06
$
65.94
$
78.79
$413.11
$516.98
$ 619.74
$
3.22
$
3.52
$
3.82
$
117.03
$117.03
$
117.03
$
4.07
$
4.07
$
4.07
$
1,937.94
$2,354.40
$
2,926.28
Rule Alternative A3
<100
$
6.26
$
7.91
$
9.99
$
0.51
$
0.62
$
0.74
o
o
o
o
$
0.02
$
0.00
$
0.00
$
0.00
$
0.01
o
o
$
0.01
$
0.00
$
0.00
$
0.00
$
6.79
$
8.55
$
10.76
100-499
$
8.77
$
11.11
$
13.95
$
0.70
$
0.84
$
1.00
$ 0.08
$ 0.11
$
0.13
$
0.02
$
0.02
$
0.02
$
$ -
$
$
$ -
$
$
9.57
$
12.08
$
15.10
500-999
$
5.92
$
7.52
$
9.42
$
0.48
$
0.58
$
0.68
$ 0.25
$ 0.29
$
0.33
$
0.03
$
0.03
$
0.04
$
$ -
$
$
$ -
$
$
6.68
$
8.41
$
10.47
1,000-3,299
$
21.90
$
28.14
$
35.39
$
1.69
$
2.04
$
2.43
$ 1.90
$ 2.22
$
2.54
$
0.17
$
0.19
$
0.20
$
$ -
$
$
$ -
$
$
25.66
$
32.59
$
40.57
3,300-9,999
$
59.39
$
76.99
$
97.32
$
3.29
$
3.90
$
4.64
$ 5.44
$ 6.44
$
7.45
$
0.23
$
0.25
$
0.27
$
0.13
$ 0.13
$
0.13
$
0.00
$
0.00
$
0.00
$
68.49
$
87.72
$
109.82
10,000-49,999
$
239.65
$
301.28
$
381.06
$
9.58
$
11.18
$
13.24
$ 8.10
$ 9.55
$
11.01
$
0.38
$
0.41
$
0.44
$
8.97
$ 8.97
$
8.97
$
0.27
$
0.27
$
0.27
$
266.95
$
331.66
$
414.99
50,000-99,999
$
141.96
$
180.87
$
230.94
$
4.26
$
5.01
$
5.92
$ 6.34
$ 7.55
$
8.76
$
0.24
$
0.26
$
0.28
$
2.30
$ 2.30
$
2.30
$
0.11
$
0.11
$
0.11
$
155.21
$
196.10
$
248.30
100,000-999,999
$
393.39
$
499.36
$
633.76
$
12.79
$
15.17
$
17.87
$ 18.75
$ 22.19
$
25.66
$
0.94
$
1.02
$
1.10
$
88.04
$ 88.04
$
88.04
$
3.11
$
3.11
$
3.11
$
517.03
$
628.90
$
769.55
1,000,000+
$
171.11
$
217.44
$
275.89
$
7.05
$
8.38
$
9.87
$372.23
$468.62
$ 563.83
$
1.20
$
1.34
$
1.48
$
17.57
$ 17.57
$
17.57
$
0.57
$
0.57
$
0.57
$
569.73
$
713.93
$
869.21
Total
$
1,048.35
$1,330.62
$ 1,687.73
$
40.34
$
47.71
$
56.40
$413.11
$516.98
$
619.74
$
3.22
$
3.52
$
3.82
$
117.03
$117.03
$
117.03
$
4.07
$
4.07
$
4.07
$
1,626.10
$2,019.93
$
2,488.78
Rule Alternative A3 UV90-10B
<100
$
6.26
$
7.91
$
9.99
$
0.51
$
0.62
$
0.74
$ 0.01
$ 0.01
$
0.02
$
0.00
$
0.00
$
0.00
$
0.01
$ 0.01
$
0.01
$
0.00
$
0.00
$
0.00
$
6.79
$
8.55
$
10.76
100-499
$
8.77
$
11.11
$
13.95
$
0.70
$
0.84
$
1.00
$ 0.08
$ 0.11
$
0.13
$
0.02
$
0.02
$
0.02
$
$ -
$
$
$ -
$
$
9.57
$
12.08
$
15.10
500-999
$
5.92
$
7.52
$
9.42
$
0.48
$
0.58
$
0.68
$ 0.25
$ 0.29
$
0.33
$
0.03
$
0.03
$
0.04
$
$ -
$
$
$ -
$
$
6.68
$
8.41
$
10.47
1,000-3,299
$
21.91
$
28.15
$
35.41
$
1.69
$
2.04
$
2.43
$ 1.90
$ 2.22
$
2.54
$
0.17
$
0.19
$
0.20
$
$ -
$
$
$ -
$
$
25.67
$
32.60
$
40.59
3,300-9,999
$
60.39
$
78.12
$
98.75
$
3.31
$
3.93
$
4.68
$ 5.44
$ 6.44
$
7.45
$
0.23
$
0.25
$
0.27
$
0.13
$ 0.13
$
0.13
$
0.00
$
0.00
$
0.00
$
69.52
$ 88.88
$
111.28
10,000-49,999
$
265.46
$
332.76
$
419.54
$
10.49
$ 12.27
$
14.56
$ 8.10
$ 9.55
$
11.01
$
0.38
$
0.41
$
0.44
$
8.97
$ 8.97
$
8.97
$
0.27
$
0.27
$
0.27
$
293.67
$
364.23
$
454.79
50,000-99,999
$
160.13
$
202.70
$
256.76
$
4.94
$
5.85
$
6.95
$ 6.34
$ 7.55
$
8.76
$
0.24
$
0.26
$
0.28
$
2.30
$ 2.30
$
2.30
$
0.11
$
0.11
$
0.11
$
174.06
$
218.77
$
275.16
100,000-999,999
$
457.41
$
577.36
$
727.92
$
15.76
$ 18.79
$
22.29
$ 18.75
$ 22.19
$
25.66
$
0.94
$
1.02
$
1.10
$
88.04
$ 88.04
$
88.04
$
3.11
$
3.11
$
3.11
$
584.02
$
710.51
$
868.12
1,000,000+
$
206.37
$
261.02
$
328.92
$
8.77
$
10.49
$
12.46
$372.23
$468.62
$
563.83
$
1.20
$
1.34
$
1.48
$
17.57
$ 17.57
$
17.57
$
0.57
$
0.57
$
0.57
$
606.71
$
759.62
$
924.83
Total
$ 1,192.62
$1,506.67
$ 1,900.66
$
46.65
$
55.40
$
65.79
$413.11
$516.98
$ 619.74
$
3.22
$
3.52
$
3.82
$
117.03
$117.03
$
117.03
$
4.07
$
4.07
$
4.07
$
1,776.69
$2,203.66
$
2,711.10
Rule Alternative A4
<100
$
3.52
$
4.64
$
6.04
$
0.26
$
0.31
$
0.37
o
o
o
o
$
0.02
$
0.00
$
0.00
$
0.00
$
0.01
o
o
$
0.01
$
0.00
$
0.00
$
0.00
$
3.81
$
4.97
$
6.45
100-499
$
4.70
$
6.07
$
7.81
$
0.35
$
0.41
$
0.49
$ 0.08
$ 0.11
$
0.13
$
0.02
$
0.02
$
0.02
$
5.15
$
6.60
$
8.45
500-999
$
3.10
$
3.98
$
5.10
$
0.21
$
0.25
$
0.30
$ 0.25
$ 0.29
$
0.33
$
0.03
$
0.03
$
0.04
$
3.59
$
4.56
$
5.77
1,000-3,299
$
10.24
$
13.28
$
17.12
$
0.81
$
0.96
$
1.16
$ 1.90
$ 2.22
$
2.54
$
0.17
$
0.19
$
0.20
$
13.13
$
16.66
$
21.02
3,300-9,999
$
27.37
$
35.65
$
46.17
$
1.74
$
2.10
$
2.55
$ 5.44
$ 6.44
$
7.45
$
0.23
$
0.25
$
0.27
$
0.13
$ 0.13
$
0.13
$
0.00
$
0.00
$
0.00
$
34.93
$
44.58
$
56.58
10,000-49,999
$
96.48
$
127.53
$
163.73
$
4.40
$
5.23
$
6.23
$ 8.10
$ 9.55
$
11.01
$
0.38
$
0.41
$
0.44
$
8.97
$ 8.97
$
8.97
$
0.27
$
0.27
$
0.27
$
118.60
$
151.96
$
190.65
50,000-99,999
$
56.88
$
76.21
$
98.82
$
1.85
$
2.19
$
2.60
$ 6.34
$ 7.55
$
8.76
$
0.24
$
0.26
$
0.28
$
2.30
$ 2.30
$
2.30
$
0.11
$
0.11
$
0.11
$
67.72
$
88.62
$
112.87
100,000-999,999
$
151.98
$
202.11
$
260.53
$
4.85
$
5.77
$
6.84
$ 18.75
$ 22.19
$
25.66
$
0.94
$
1.02
$
1.10
$
88.04
$ 88.04
$
88.04
$
3.11
$
3.11
$
3.11
$
267.68
$
322.24
$
385.29
1,000,000+
$
65.10
$
86.64
$
111.76
$
2.40
$
2.89
$
3.43
$372.23
$468.62
$ 563.83
$
1.20
$
1.34
$
1.48
$
17.57
$ 17.57
$
17.57
$
0.57
$
0.57
$
0.57
$
459.08
$
577.63
$
698.64
Total
$
419.37
$
556.12
$
717.08
$
16.89
$
20.11
$
23.98
$413.11
$516.98
$
619.74
$
3.22
$
3.52
$
3.82
$
117.03
$117.03
$
117.03
$
4.07
$
4.07
$
4.07
$
973.68
$1,217.83
$
1,485.71
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.6b: Treatment Uncertainty - Nominal Value (ICRSSM)
Size Category
Filtered Treatment Capital
Filtered Treatment O&M
Unfiltered Treatment Capital
Unfiltered Treatment O&M
Uncovered Reservoirs Capital
Uncovered Reservoirs O&M
Total
5th
Percentile
Mean
95th
Percentile
5th
Percentile
Mean
95th
Percentile
5th
Percentile
Mean
95th
Percentile
5th
Percentile
Mean
95th
Percentile
5th
Percentile
Mean
Percentile
5th
Percentile
Mean
95th
Percentile
5th Percentile
Mean
95th Percentile
A
B
C
D
E
F
G
H
I
J
K
L
M
N
0
P
0
R
S
T
U
Rule Alternative A1
<100
$ 18.08
$ 21.56
$ 25.03
$ 1.63
$ 1.76
$ 1.88
o
o
o
o
$ 0.02
$ 0.00
$ 0.00
$ 0.00
o
o
o
o
o
o
$ 0.00
$ 0.00
$ 0.00
$ 19.73
$ 23.35
$ 26.95
100-499
$ 27.07
$ 31.91
$ 36.76
$ 2.81
$ 3.05
$ 3.28
$ 0.08
$ 0.11
$ 0.13
$ 0.02
$ 0.02
$ 0.02
$
$ -
$
$
$ -
$
$ 29.98
$ 35.09
$ 40.19
500-999
$ 18.44
$ 21.64
$ 24.84
$ 2.69
$ 2.94
$ 3.19
$ 0.25
$ 0.29
$ 0.33
$ 0.03
$ 0.03
$ 0.04
$
$ -
$
$
$ -
$
$ 21.40
$ 24.90
$ 28.40
1,000-3,299
$ 97.54
$ 117.98
$ 138.25
$ 9.49
$ 10.40
$ 11.32
$ 1.90
$ 2.22
$ 2.54
$ 0.17
$ 0.19
$ 0.20
$
$ -
$
$
$ -
$
$ 109.11
$ 130.80
$ 152.31
3,300-9,999
$ 300.50
$ 36/.54
$ 434.24
$ 13.69
$ 14.87
$ 16.05
$ 5.44
$ 6.44
$ /.45
$ 0.23
$ 0.25
$ 0.27
$ 0.13
$ 0.13
$ 0.13
$ 0.00
$ 0.00
$ 0.00
$ 320.00
$ 389.24
$ 458.15
10,000-49,999
$ 938.87
$1,072.03
$ 1,205.65
$ 41.61
$ 44.12
$ 46.65
$ 8.10
$ 9.55
$ 11.01
$ 0.38
$ 0.41
$ 0.44
$ 8.97
$ 8.97
$ 8.97
$ 0.27
$ 0.27
$ 0.27
$ 998.20
$1,135.35
$ 1,272.99
50,000-99,999
$ 562.97
$ 646.03
$ 728.71
$ 21.35
$ 22.62
$ 23.91
$ 6.34
$ /.55
$ 8.76
$ 0.24
$ 0.26
$ 0.28
$ 2.30
$ 2.30
$ 2.30
$ 0.11
$ 0.11
$ 0.11
$ 593.31
$ 678.86
$ 764.07
100,000-999,999
$ 1,637.96
$1,868.25
$ 2,098.30
$ 71.51
$ 75.73
$ 80.02
$ 18.75
$ 22.19
$ 25.66
$ 0.94
$ 1.02
$ 1.10
$ 88.04
$ 88.04
$ 88.04
$ 3.11
$ 3.11
$ 3.11
$ 1,820.31
$2,058.35
$ 2,296.23
1,000,000+
$ 731.32
$ 833.39
$ 935.46
$ 40.67
$ 43.05
$ 45.45
$ 372.23
$468.62
$ 563.83
$ 1.20
$ 1.34
$ 1.48
$ 17.57
$ 17.57
$ 17.57
$ 0.5/
$ 0.5/
$ 0.5/
$ 1,163.56
$1,364.55
$ 1,564.36
Total
$ 4,332.74
$4,980.35
$ 5,627.23
$ 205.45
$218.54
$ 231.76
$413.11
$516.98
$ 619.74
$ 3.22
$ 3.52
$ 3.82
$ 117.03
$117.03
$ 117.03
$ 4.07
$ 4.07
$ 4.07
$ 5,075.61
$5,840.49
$ 6,603.64
Kule Alternative /¦
2
<100
$ 6.51
$ 8.29
$ 10.21
$ 0.52
$ 0.63
$ 0.75
$ 0.01
$ 0.01
$ 0.02
$ 0.00
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 7.05
$ 8.94
$ 10.99
100-499
$ 9.15
$ 11.61
$ 14.34
$ 0.77
$ 0.92
$ 1.09
$ 0.08
$ 0.11
$ 0.13
$ 0.02
$ 0.02
$ 0.02
$
$ -
$
$
$ -
$
$ 10.02
$ 12.66
$ 15.58
500-999
$ 6.14
$ 7.79
$ 9.63
$ 0.59
$ 0.71
$ 0.84
$ 0.25
$ 0.29
$ 0.33
$ 0.03
$ 0.03
$ 0.04
$
$ -
$
$
$ -
$
$ 7.00
$ 8.82
$ 10.84
1,000-3,299
$ 24.90
$ 32.20
$ 40.34
$ 2.11
$ 2.55
$ 3.01
$ 1.90
$ 2.22
$ 2.54
$ 0.17
$ 0.19
$ 0.20
$
$ -
$
$
$ -
$
$ 29.08
$ 37.16
$ 46.09
3,300-9,999
$ 70.99
$ 92.85
$ 117.10
$ 3.71
$ 4.44
$ 5.20
$ 5.44
$ 6.44
$ 7.45
$ 0.23
$ 0.25
$ 0.27
$ 0.13
$ 0.13
$ 0.13
$ 0.00
$ 0.00
$ 0.00
$ 80.51
$ 104.12
$ 130.16
10,000-49,999
$ 220.37
$ 285.00
$ 353.83
$ 9.63
$ 11.46
$ 13.32
$ 8.10
$ 9.55
$ 11.01
$ 0.38
$ 0.41
$ 0.44
$ 8.97
$ 8.97
$ 8.97
$ 0.27
$ 0.27
$ 0.27
$ 247.72
$ 315.66
$ 387.84
50,000-99,999
$ 130.15
$ 170.45
$ 213.69
$ 4.42
$ 5.25
$ 6.11
$ 6.34
$ 7.55
$ 8.76
$ 0.24
$ 0.26
$ 0.28
$ 2.30
$ 2.30
$ 2.30
$ 0.11
$ 0.11
$ 0.11
$ 143.56
$ 185.91
$ 231.24
100,000-999,999
$ 362.47
$ 471.03
$ 588.31
$ 13.19
$ 15.71
$ 18.31
$ 18.75
$ 22.19
$ 25.66
$ 0.94
$ 1.02
$ 1.10
$ 88.04
$ 88.04
$ 88.04
$ 3.11
$ 3.11
$ 3.11
$ 486.51
$ 601.11
$ 724.53
1,000,000+
$ 159.10
$ 206.63
$ 257.98
$ 7.09
$ 8.46
$ 9.89
$ 372.23
$468.62
$ 563.83
$ 1.20
$ 1.34
$ 1.48
$ 17.57
$ 17.57
$ 17.57
$ 0.57
$ 0.57
$ 0.57
$ 557.75
$ 703.20
$ 851.32
I otal
$ 989.78
$1,285.85
$ 1,605.43
$ 42.02
$ 50.14
$ 58.51
$413.11
$516.98
$ 619.74
$ 3.22
$ 3.52
$ 3.82
$ 117.03
$117.03
$ 117.03
$ 4.07
$ 4.07
$ 4.07
$ 1,569.22
$1,977.59
$ 2,408.60
Rule Alternative A3
<100
$ 4.31
$ 5.81
$ 7.35
$ 0.33
$ 0.40
$ 0.48
O
o
o
o
$ 0.02
$ 0.00
$ 0.00
$ 0.00
O
o
O
o
O
o
$ 0.00
$ 0.00
$ 0.00
$ 4.65
$ 6.24
$ 7.86
100-499
$ 5.80
$ 7.73
$ 9.70
$ 0.44
$ 0.54
$ 0.64
$ 0.08
$ 0.11
$ 0.13
$ 0.02
$ 0.02
$ 0.02
$
$ -
$
$
$ -
$
$ 6.34
$ 8.39
$ 10.49
500-999
$ 3.86
$ 5.13
$ 6.42
$ 0.28
$ 0.35
$ 0.42
$ 0.25
$ 0.29
$ 0.33
$ 0.03
$ 0.03
$ 0.04
$
$ -
$
$
$ -
$
$ 4.42
$ 5.80
$ 7.20
1,000-3,299
$ 13.63
$ 18.26
$ 23.08
$ 1.03
$ 1.29
$ 1.54
$ 1.90
$ 2.22
$ 2.54
$ 0.17
$ 0.19
$ 0.20
$
$ -
$
$
$ -
$
$ 16.74
$ 21.96
$ 27.37
3,300-9,999
'-j 35.95
$ 48.75
$ 62.15
$ 2.19
$ 2.72
$ 3.24
$ 5.44
$ 6.44
$ /.45
$ 0.23
$ 0.25
$ 0.27
$ 0.13
$ 0.13
$ 0.13
$ 0.00
$ 0.00
$ 0.00
$ 43.95
$ 58.31
$ 73.25
10,000-49,999
$ 167.47
$ 221.62
$ 278.08
$ 6.54
$ 7.99
$ 9.40
$ 8.10
$ 9.55
$ 11.01
$ 0.38
$ 0.41
$ 0.44
$ 8.97
$ 8.97
$ 8.97
$ 0.27
$ 0.27
$ 0.27
$ 191.74
$ 248.81
$ 308.17
50,000-99,999
$ 98.85
$ 132.63
$ 168.09
$ 2.//
$ 3.39
$ 3.99
$ 6.34
$ /.55
$ 8.76
$ 0.24
$ 0.26
$ 0.28
$ 2.30
$ 2.30
$ 2.30
$ 0.11
$ 0.11
$ 0.11
$ 110.61
$ 146.24
$ 183.53
100,000-999,999
$ 269.36
$ 359.51
$ 453.82
$ 7.98
$ 9.81
$ 11.56
$ 18.75
$ 22.19
$ 25.66
$ 0.94
$ 1.02
$ 1.10
$ 88.04
$ 88.04
$ 88.04
$ 3.11
$ 3.11
$ 3.11
$ 388.19
$ 483.69
$ 583.29
1,000,000+
$ 116.01
$ 155.06
$ 195.87
$ 4.33
$ 5.33
$ 6.29
$ 372.23
$468.62
$ 563.83
$ 1.20
$ 1.34
$ 1.48
$ 17.57
$ 17.57
$ 17.57
$ 0.5/
$ 0.5/
$ 0.5/
$ 511.91
$ 648.49
$ /85.60
Total
$ 715.24
$ 954.50
$ 1,204.56
$ 25.88
$ 31.83
$ 37.55
$413.11
$516.98
$ 619.74
$ 3.22
$ 3.52
$ 3.82
$ 117.03
$117.03
$ 117.03
$ 4.07
$ 4.07
$ 4.07
$ 1,278.54
$1,627.93
$ 1,986.77
Kule Alternative /¦
3 UV90-10B
<100
$ 4.31
$ 5.81
$ 7.35
$ 0.33
$ 0.40
$ 0.48
$ 0.01
$ 0.01
$ 0.02
$ 0.00
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 4.65
$ 6.24
$ 7.86
100-499
$ 5.80
$ 7.73
$ 9.70
$ 0.44
$ 0.54
$ 0.64
$ 0.08
$ 0.11
$ 0.13
$ 0.02
$ 0.02
$ 0.02
$
$ -
$
$
$ -
$
$ 6.34
$ 8.39
$ 10.49
500-999
$ 3.86
$ 5.13
$ 6.42
$ 0.28
$ 0.35
$ 0.42
$ 0.25
$ 0.29
$ 0.33
$ 0.03
$ 0.03
$ 0.04
$
$ -
$
$
$ -
$
$ 4.42
$ 5.80
$ 7.20
1,000-3,299
$ 13.64
$ 18.27
$ 23.10
$ 1.03
$ 1.29
$ 1.54
$ 1.90
$ 2.22
$ 2.54
$ 0.17
$ 0.19
$ 0.20
$
$ -
$
$
$ -
$
$ 16./5
$ 21.98
$ 27.39
3,300-9,999
$ 36.62
$ 49.57
$ 63.12
$ 2.21
$ 2.75
$ 3.27
$ 5.44
$ 6.44
$ 7.45
$ 0.23
$ 0.25
$ 0.27
$ 0.13
$ 0.13
$ 0.13
$ 0.00
$ 0.00
$ 0.00
$ 44.64
$ 59.14
$ 74.24
10,000-49,999
$ 183.50
$ 241.07
$ 301.46
$ 7.16
$ 8.73
$ 10.26
$ 8.10
$ 9.55
$ 11.01
$ 0.38
$ 0.41
$ 0.44
$ 8.97
$ 8.97
$ 8.97
$ 0.27
$ 0.27
$ 0.27
$ 208.38
$ 269.01
$ 332.41
50,000-99,999
$ 109.81
$ 145.93
$ 183.86
$ 3.21
$ 3.94
$ 4.64
$ 6.34
$ 7.55
$ 8.76
$ 0.24
$ 0.26
$ 0.28
$ 2.30
$ 2.30
$ 2.30
$ 0.11
$ 0.11
$ 0.11
$ 122.02
$ 160.09
$ 199.95
100,000-999,999
$ 306.76
$ 405.53
$ 508.96
$ 9.95
$ 12.21
$ 14.41
$ 18.75
$ 22.19
$ 25.66
$ 0.94
$ 1.02
$ 1.10
$ 88.04
$ 88.04
$ 88.04
$ 3.11
$ 3.11
$ 3.11
$ 427.55
$ 532.11
$ 641.28
1,000,000+
$ 136.68
$ 180.61
$ 226.34
$ 5.49
$ 6.76
$ 7.99
$ 372.23
$468.62
$ 563.83
$ 1.20
$ 1.34
$ 1.48
$ 17.57
$ 17.57
$ 17.57
$ 0.57
$ 0.57
$ 0.57
$ 533.74
$ 675.48
$ 817.78
I otal
$ 800.98
$1,059.66
$ 1,330.31
$ 30.09
$ 36.97
$ 43.64
$413.11
$516.98
$ 619.74
$ 3.22
$ 3.52
$ 3.82
$ 117.03
$117.03
$ 117.03
$ 4.07
$ 4.07
$ 4.07
$ 1,368.49
$1,738.23
$ 2,118.60
Rule Alternative A4
<100
$ 2.19
$ 3.02
$ 3.94
$ 0.16
$ 0.20
$ 0.24
O
o
o
o
$ 0.02
$ 0.00
$ 0.00
$ 0.00
O
o
O
o
O
o
$ 0.00
$ 0.00
$ 0.00
$ 2.38
$ 3.25
$ 4.21
100-499
$ 2.93
$ 3.95
$ 5.08
$ 0.22
$ 0.27
$ 0.32
$ 0.08
$ 0.11
$ 0.13
$ 0.02
$ 0.02
$ 0.02
$
$ -
$
$
$ -
$
$ 3.24
$ 4.35
$ 5.55
500-999
$ 1.93
$ 2.59
$ 3.31
$ 0.13
$ 0.16
$ 0.20
$ 0.25
$ 0.29
$ 0.33
$ 0.03
$ 0.03
$ 0.04
$
$ -
$
$
$ -
$
$ 2.34
$ 3.08
$ 3.88
1,000-3,299
$ 6.30
$ 8.56
$ 11.05
$ 0.51
$ 0.63
$ 0.76
$ 1.90
$ 2.22
$ 2.54
$ 0.17
$ 0.19
$ 0.20
$
$ -
$
$
$ -
$
$ 8.89
$ 11.60
$ 14.55
3,300-9,999
$ 16.99
$ 23.15
$ 29.99
$ 1.08
$ 1.36
$ 1.66
$ 5.44
$ 6.44
$ /.45
$ 0.23
$ 0.25
$ 0.27
$ 0.13
$ 0.13
$ 0.13
$ 0.00
$ 0.00
$ 0.00
$ 23.89
$ 31.34
$ 39.51
10,000-49,999
$ 52.96
$ 72.99
$ 94.85
$ 2.58
$ 3.20
$ 3.83
$ 8.10
$ 9.55
$ 11.01
$ 0.38
$ 0.41
$ 0.44
$ 8.97
$ 8.97
$ 8.97
$ 0.27
$ 0.27
$ 0.27
$ 73.26
$ 95.39
$ 119.37
50,000-99,999
$ 31.24
$ 43.61
$ 57.25
$ 1.09
$ 1.35
$ 1.61
$ 6.34
$ /.55
$ 8.76
$ 0.24
$ 0.26
$ 0.28
$ 2.30
$ 2.30
$ 2.30
$ 0.11
$ 0.11
$ 0.11
$ 41.33
$ 55.18
$ 70.30
100,000-999,999
$ 82.86
$ 114.81
$ 149.89
$ 2.77
$ 3.44
$ 4.12
$ 18.75
$ 22.19
$ 25.66
$ 0.94
$ 1.02
$ 1.10
$ 88.04
$ 88.04
$ 88.04
$ 3.11
$ 3.11
$ 3.11
$ 196.48
$ 232.61
$ 271.92
1,000,000+
$ 35.47
$ 49.16
$ 64.21
$ 1.33
$ 1.66
$ 2.00
$ 372.23
$468.62
$ 563.83
$ 1.20
$ 1.34
$ 1.48
$ 17.57
$ 17.57
$ 17.57
$ 0.5/
$ 0.5/
$ 0.5/
$ 428.37
$ 538.93
$ 649.66
Total
$ 232.86
$ 321.84
$ 419.57
$ 9.88
$ 12.27
$ 14.73
$413.11
$516.98
$ 619.74
$ 3.22
$ 3.52
$ 3.82
$ 117.03
$117.03
$ 117.03
$ 4.07
$ 4.07
$ 4.07
$ 780.16
$ 975.71
$ 1,178.95
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.6c: Treatment Uncertainty - Nominal Value (ICRSSL)
Size Category
Filtered Treatment Capital
Filtered Treatment O&M
Unfiltered Treatment Capital
Unfiltered Treatment O&M
Uncovered Reservoirs Capital
Uncovered Reservoirs O&M
Total
5th
Percentile
Mean
95th
Percentile
5th
Percentile
Mean
95th
Percentile
5th
Percentile
Mean
95th
Percentile
5th
Percentile
Mean
95th
Percentile
5th
Percentile
Mean
Percentile
5th
Percentile
Mean
95th
Percentile
5th Percentile
Mean
95th Percentile
A
B
C
D
E
F
G
H
I
J
K
L
M
N
0
P
0
R
S
T
U
Rule Alternative A1
<100
$ 18.08
$ 21.56
$ 25.03
$ 1.63
$ 1.76
$ 1.88
O
o
o
o
$ 0.02
$ 0.00
$ 0.00
$ 0.00
o
o
o
o
o
o
$ 0.00
$ 0.00
$ 0.00
$ 19.73
$ 23.35
$ 26.95
100-499
$ 27.07
$ 31.91
$ 36.76
$ 2.81
$ 3.05
$ 3.28
$ 0.08
$ 0.11
$ 0.13
$ 0.02
$ 0.02
$ 0.02
$
$ -
$
$
$ -
$
$ 29.98
$ 35.09
$ 40.19
500-999
$ 18.44
$ 21.64
$ 24.84
$ 2.69
$ 2.94
$ 3.19
$ 0.25
$ 0.29
$ 0.33
$ 0.03
$ 0.03
$ 0.04
$
$ -
$
$
$ -
$
$ 21.40
$ 24.90
$ 28.40
1,000-3,299
$ 97.54
$ 117.98
$ 138.25
$ 9.49
$ 10.40
$ 11.32
$ 1.90
$ 2.22
$ 2.54
$ 0.17
$ 0.19
$ 0.20
$
$ -
$
$
$ -
$
$ 109.11
$ 130.80
$ 152.31
3,300-9,999
$ 300.50
$ 36/.54
$ 434.24
$ 13.69
$ 14.87
$ 16.05
$ 5.44
$ 6.44
$ /.45
$ 0.23
$ 0.25
$ 0.27
$ 0.13
$ 0.13
$ 0.13
$ 0.00
$ 0.00
$ 0.00
$ 320.00
$ 389.24
$ 458.15
10,000-49,999
$ 938.87
$1,072.03
$ 1,205.65
$ 41.61
$ 44.12
$ 46.65
$ 8.10
$ 9.55
$ 11.01
$ 0.38
$ 0.41
$ 0.44
$ 8.97
$ 8.97
$ 8.97
$ 0.27
$ 0.27
$ 0.27
$ 998.20
$1,135.35
$ 1,272.99
50,000-99,999
$ 562.97
$ 646.03
$ 728.71
$ 21.35
$ 22.62
$ 23.91
$ 6.34
$ /.55
$ 8.76
$ 0.24
$ 0.26
$ 0.28
$ 2.30
$ 2.30
$ 2.30
$ 0.11
$ 0.11
$ 0.11
$ 593.31
$ 678.86
$ 764.07
100,000-999,999
$ 1,637.96
$1,868.25
$ 2,098.30
$ 71.51
$ 75.73
$ 80.02
$ 18.75
$ 22.19
$ 25.66
$ 0.94
$ 1.02
$ 1.10
$ 88.04
$ 88.04
$ 88.04
$ 3.11
$ 3.11
$ 3.11
$ 1,820.31
$2,058.35
$ 2,296.23
1,000,000+
$ 731.32
$ 833.39
$ 935.46
$ 40.67
$ 43.05
$ 45.45
$ 372.23
$468.62
$ 563.83
$ 1.20
$ 1.34
$ 1.48
$ 17.57
$ 17.57
$ 17.57
$ 0.5/
$ 0.5/
$ 0.5/
$ 1,163.56
$1,364.55
$ 1,564.36
Total
$ 4,332.74
$4,980.35
$ 5,627.23
$ 205.45
$218.54
$ 231.76
$413.11
$516.98
$ 619.74
$ 3.22
$ 3.52
$ 3.82
$ 117.03
$117.03
$ 117.03
$ 4.07
$ 4.07
$ 4.07
$ 5,075.61
$5,840.49
$ 6,603.64
Kule Alternative /¦
2
<100
$ 5.44
$ 7.41
$ 9.43
$ 0.42
$ 0.54
$ 0.66
$ 0.01
$ 0.01
$ 0.02
$ 0.00
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 5.89
$ 7.98
$ 10.12
100-499
$ /.50
$ 10.17
$ 12.91
$ 0.61
$ 0.78
$ 0.95
$ 0.08
$ 0.11
$ 0.13
$ 0.02
$ 0.02
$ 0.02
$
$ -
$
$
$ -
$
$ 8.21
$ 11.08
$ 14.01
500-999
$ 4.99
$ 6.76
$ 8.59
$ 0.45
$ 0.59
$ 0.72
$ 0.25
$ 0.29
$ 0.33
$ 0.03
$ 0.03
$ 0.04
$
$ -
$
$
$ -
$
$ 5.73
$ 7.68
$ 9.68
1,000-3,299
$ 19.60
$ 27.32
$ 35.24
$ 1.65
$ 2.16
$ 2.64
$ 1.90
$ 2.22
$ 2.54
$ 0.17
$ 0.19
$ 0.20
$
$ -
$
$
$ -
$
$ 23.33
$ 31.89
$ 40.62
3,300-9,999
$ 55.56
$ 78.46
$ 102.07
$ 3.02
$ 3.88
$ 4.70
$ 5.44
$ 6.44
$ 7.45
$ 0.23
$ 0.25
$ 0.27
$ 0.13
$ 0.13
$ 0.13
$ 0.00
$ 0.00
$ 0.00
$ 64.40
$ 89.18
$ 114.62
10,000-49,999
$ 1/1.88
$ 242.35
$ 312.90
$ 7.68
$ 9.88
$ 11.89
$ 8.10
$ 9.55
$ 11.01
$ 0.38
$ 0.41
$ 0.44
$ 8.97
$ 8.97
$ 8.97
$ 0.27
$ 0.27
$ 0.27
$ 197.28
$ 271.43
$ 345.48
50,000-99,999
$ 101.27
$ 144.80
$ 188.90
$ 3.46
$ 4.45
$ 5.36
$ 6.34
$ 7.55
$ 8.76
$ 0.24
$ 0.26
$ 0.28
$ 2.30
$ 2.30
$ 2.30
$ 0.11
$ 0.11
$ 0.11
$ 113.72
$ 159.47
$ 205.71
100,000-999,999
$ 278.96
$ 396.69
$ 514.90
$ 9.99
$ 13.01
$ 15.70
$ 18.75
$ 22.19
$ 25.66
$ 0.94
$ 1.02
$ 1.10
$ 88.04
$ 88.04
$ 88.04
$ 3.11
$ 3.11
$ 3.11
$ 399.80
$ 524.07
$ 648.51
1,000,000+
$ 121.91
$ 173.37
$ 224.90
$ 5.25
$ 6.90
$ 8.36
$ 372.23
$468.62
$ 563.83
$ 1.20
$ 1.34
$ 1.48
$ 17.57
$ 17.57
$ 17.57
$ 0.57
$ 0.57
$ 0.57
$ 518.73
$ 668.37
$ 816.71
I otal
$ 767.13
$1,087.33
$ 1,409.84
$ 32.54
$ 42.21
$ 50.97
$413.11
$516.98
$ 619.74
$ 3.22
$ 3.52
$ 3.82
$ 117.03
$117.03
$ 117.03
$ 4.07
$ 4.07
$ 4.07
$ 1,337.08
$1,771.14
$ 2,205.46
Rule Alternative A3
<100
$ 3.13
$ 4.72
$ 6.25
$ 0.23
$ 0.32
$ 0.39
O
o
O
o
$ 0.02
$ 0.00
$ 0.00
$ 0.00
O
o
O
o
O
o
$ 0.00
$ 0.00
$ 0.00
$ 3.39
$ 5.07
$ 6.67
100-499
$ 4.18
$ 6.21
$ 8.13
$ 0.31
$ 0.43
$ 0.52
$ 0.08
$ 0.11
$ 0.13
$ 0.02
$ 0.02
$ 0.02
$
$ -
$
$
$ -
$
$ 4.59
$ 6.76
$ 8.80
500-999
$ 2.78
$ 4.11
$ 5.36
$ 0.19
$ 0.27
$ 0.33
$ 0.25
$ 0.29
$ 0.33
$ 0.03
$ 0.03
$ 0.04
$
$ -
$
$
$ -
$
$ 3.25
$ 4.70
$ 6.06
1,000-3,299
$ 9.58
$ 14.32
$ 18.82
$ 0.72
$ 1.00
$ 1.24
$ 1.90
$ 2.22
$ 2.54
$ 0.17
$ 0.19
$ 0.20
$
$ -
$
$
$ -
$
$ 12.38
$ 17.73
$ 22.81
3,300-9,999
$ 25.00
$ 37.82
$ 50.15
$ 1.57
$ 2.18
$ 2.70
$ 5.44
$ 6.44
$ /.45
$ 0.23
$ 0.25
$ 0.27
$ 0.13
$ 0.13
$ 0.13
$ 0.00
$ 0.00
$ 0.00
$ 32.38
$ 46.83
$ 60.70
10,000-49,999
$ 121.48
$ 179.33
$ 233.78
$ 4.72
$ 6.41
$ 7.82
$ 8.10
$ 9.55
$ 11.01
$ 0.38
$ 0.41
$ 0.44
$ 8.97
$ 8.97
$ 8.97
$ 0.27
$ 0.27
$ 0.27
$ 143.91
$ 204.94
$ 262.29
50,000-99,999
$ 71.63
$ 107.25
$ 141.26
$ 1.97
$ 2.68
$ 3.27
$ 6.34
$ /.55
$ 8.76
$ 0.24
$ 0.26
$ 0.28
$ 2.30
$ 2.30
$ 2.30
$ 0.11
$ 0.11
$ 0.11
$ 82.59
$ 120.14
$ 155.98
100,000-999,999
$ 194.32
$ 289.30
$ 379.44
$ 5.60
$ 7.63
$ 9.31
$ 18.75
$ 22.19
$ 25.66
$ 0.94
$ 1.02
$ 1.10
$ 88.04
$ 88.04
$ 88.04
$ 3.11
$ 3.11
$ 3.11
$ 310.76
$ 411.30
$ 506.67
1,000,000+
$ 83.50
$ 124.45
$ 163.32
$ 3.02
$ 4.12
$ 5.04
$ 372.23
$468.62
$ 563.83
$ 1.20
$ 1.34
$ 1.48
$ 17.57
$ 17.57
$ 17.57
$ 0.5/
$ 0.5/
$ 0.5/
$ 478.09
$ 616.68
$ 751.81
Total
$ 515.60
$ 767.51
$ 1,006.51
$ 18.33
$ 25.04
$ 30.62
$413.11
$516.98
$ 619.74
$ 3.22
$ 3.52
$ 3.82
$ 117.03
$117.03
$ 117.03
$ 4.07
$ 4.07
$ 4.07
$ 1,071.35
$1,434.15
$ 1,781.79
Kule Alternative /¦
3 UV90-10B
<100
$ 3.13
$ 4.72
$ 6.25
$ 0.23
$ 0.32
$ 0.39
$ 0.01
$ 0.01
$ 0.02
$ 0.00
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 3.39
$ 5.07
$ 6.67
100-499
$ 4.18
$ 6.21
$ 8.13
$ 0.31
$ 0.43
$ 0.52
$ 0.08
$ 0.11
$ 0.13
$ 0.02
$ 0.02
$ 0.02
$
$ -
$
$
$ -
$
$ 4.59
$ 6.76
$ 8.80
500-999
$ 2.78
$ 4.11
$ 5.36
$ 0.19
$ 0.27
$ 0.33
$ 0.25
$ 0.29
$ 0.33
$ 0.03
$ 0.03
$ 0.04
$
$ -
$
$
$ -
$
$ 3.25
$ 4.70
$ 6.06
1,000-3,299
$ 9.59
$ 14.33
$ 18.84
$ 0.72
$ 1.00
$ 1.24
$ 1.90
$ 2.22
$ 2.54
$ 0.17
$ 0.19
$ 0.20
$
$ -
$
$
$ -
$
$ 12.39
$ 17.74
$ 22.82
3,300-9,999
$ 25.49
$ 38.47
$ 50.92
$ 1.58
$ 2.19
$ 2.72
$ 5.44
$ 6.44
$ 7.45
$ 0.23
$ 0.25
$ 0.27
$ 0.13
$ 0.13
$ 0.13
$ 0.00
$ 0.00
$ 0.00
$ 32.88
$ 47.50
$ 61.50
10,000-49,999
$ 132.44
$ 194.02
$ 251.89
$ 5.15
$ 6.99
$ 8.52
$ 8.10
$ 9.55
$ 11.01
$ 0.38
$ 0.41
$ 0.44
$ 8.97
$ 8.97
$ 8.97
$ 0.27
$ 0.27
$ 0.27
$ 155.31
$ 220.21
$ 281.09
50,000-99,999
$ 79.09
$ 117.24
$ 153.37
$ 2.28
$ 3.10
$ 3.78
$ 6.34
$ 7.55
$ 8.76
$ 0.24
$ 0.26
$ 0.28
$ 2.30
$ 2.30
$ 2.30
$ 0.11
$ 0.11
$ 0.11
$ 90.36
$ 130.55
$ 168.59
100,000-999,999
$ 219.80
$ 323.48
$ 421.14
$ 6.99
$ 9.50
$ 11.57
$ 18.75
$ 22.19
$ 25.66
$ 0.94
$ 1.02
$ 1.10
$ 88.04
$ 88.04
$ 88.04
$ 3.11
$ 3.11
$ 3.11
$ 337.63
$ 447.35
$ 550.63
1,000,000+
$ 97.48
$ 143.41
$ 186.59
$ 3.85
$ 5.24
$ 6.39
$ 372.23
$468.62
$ 563.83
$ 1.20
$ 1.34
$ 1.48
$ 17.57
$ 17.57
$ 17.57
$ 0.57
$ 0.57
$ 0.57
$ 492.90
$ 636.76
$ 776.44
I otal
$ 573.98
$ 846.00
$ 1,102.50
$ 21.31
$ 29.04
$ 35.46
$413.11
$516.98
$ 619.74
$ 3.22
$ 3.52
$ 3.82
$ 117.03
$117.03
$ 117.03
$ 4.07
$ 4.07
$ 4.07
$ 1,132.71
$1,516.64
$ 1,882.61
Rule Alternative A4
<100
$ 1.40
$ 2.18
$ 3.07
$ 0.10
$ 0.15
$ 0.19
O
o
O
o
$ 0.02
$ 0.00
$ 0.00
$ 0.00
O
o
O
o
O
o
$ 0.00
$ 0.00
$ 0.00
$ 1.53
$ 2.35
$ 3.29
100-499
$ 1.87
$ 2.85
$ 3.96
$ 0.14
$ 0.19
$ 0.25
$ 0.08
$ 0.11
$ 0.13
$ 0.02
$ 0.02
$ 0.02
$
$ -
$
$
$ -
$
$ 2.11
$ 3.17
$ 4.36
500-999
$ 1.23
$ 1.86
$ 2.58
$ 0.08
$ 0.12
$ 0.15
$ 0.25
$ 0.29
$ 0.33
$ 0.03
$ 0.03
$ 0.04
$
$ -
$
$
$ -
$
$ 1.59
$ 2.30
$ 3.10
1,000-3,299
$ 4.01
$ 6.13
$ 8.58
$ 0.33
$ 0.46
$ 0.59
$ 1.90
$ 2.22
$ 2.54
$ 0.17
$ 0.19
$ 0.20
$
$ -
$
$
$ -
$
$ 6.41
$ 9.00
$ 11.92
3,300-9,999
$ 10.84
$ 16.65
$ 23.37
$ 0.69
$ 0.98
$ 1.29
$ 5.44
$ 6.44
$ /.45
$ 0.23
$ 0.25
$ 0.27
$ 0.13
$ 0.13
$ 0.13
$ 0.00
$ 0.00
$ 0.00
$ 17.35
$ 24.46
$ 32.52
10,000-49,999
$ 32.39
$ 49.65
$ 70.29
$ 1.62
$ 2.24
$ 2.91
$ 8.10
$ 9.55
$ 11.01
$ 0.38
$ 0.41
$ 0.44
$ 8.97
$ 8.97
$ 8.97
$ 0.27
$ 0.27
$ 0.27
$ 51.73
$ 71.09
$ 93.90
50,000-99,999
$ 19.11
$ 29.66
$ 42.40
$ 0.68
$ 0.95
$ 1.23
$ 6.34
$ /.55
$ 8.76
$ 0.24
$ 0.26
$ 0.28
$ 2.30
$ 2.30
$ 2.30
$ 0.11
$ 0.11
$ 0.11
$ 28.79
$ 40.83
$ 55.08
100,000-999,999
$ 50.55
$ 77.81
$ 110.63
$ 1.72
$ 2.38
$ 3.10
$ 18.75
$ 22.19
$ 25.66
$ 0.94
$ 1.02
$ 1.10
$ 88.04
$ 88.04
$ 88.04
$ 3.11
$ 3.11
$ 3.11
$ 163.11
$ 194.56
$ 231.65
1,000,000+
$ 21.64
$ 33.30
$ 47.38
$ 0.81
$ 1.13
$ 1.49
$ 372.23
$468.62
$ 563.83
$ 1.20
$ 1.34
$ 1.48
$ 17.57
$ 17.57
$ 17.57
$ 0.5/
$ 0.5/
$ 0.5/
$ 414.03
$ 522.54
$ 632.32
Total
$ 143.05
$ 220.09
$ 312.28
$ 6.18
$ 8.60
$ 11.20
$413.11
$516.98
$ 619.74
$ 3.22
$ 3.52
$ 3.82
$ 117.03
$117.03
$ 117.03
$ 4.07
$ 4.07
$ 4.07
$ 686.65
$ 870.29
$ 1,068.14
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.7: State Schedule for Assigning LT2ESWTR Costs and Benefits
Small System E.
Small System
Small System E.
Small System
coli Monitoring
Crypto Monitoring
Large System
M1 (10k- <50k)
M2 (50k - <100k)
coli Monitoring
Crypto Monitoring
Review Initial
Review Initial
Monitoring Review
Monitoring Review
Monitoring Review
Review Second
Review Second
Year
Implementation
Monitoring
Monitoring
Second Round
Second Round
Second Round
Round
Round
A
B
C
D
E
F
G
H
2005
50%
2006
50%
2007
2008
100%
2009
2010
2011
100%
2012
2013
2014
2015
100%
2016
100%
2017
100%
100%
2018
2019
100%
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.7: State Schedule for Assigning LT2ESWTR Costs and Benefits
M1 (10k- <50k)
M2 (50k - <100k)
Uncovered
M1 (10k -
M2 (50k-
Small System
Large System
System
System
Finished Water
Small System
Large System
<50k) System
<100k) System
Technology
Technology
Technology
Technology
Reservoir
Year
Benchmarking
Benchmarking
Benchmarking
Benchmarking
Monitoring
Monitoring
Monitoring
Monitoring
Reporting
I
J
K
L
M
N
O
P
Q
2005
2006
50.00%
2007
50.00%
2008
20%
10.00%
2009
20%
10.00%
20.00%
2010
20%
20.00%
20.00%
2011
22.22%
20%
20.00%
20.00%
60.00%
45%
2012
22.22%
20%
20.00%
20.00%
80.00%
45%
70%
2013
22.22%
20.00%
10.00%
40.00%
100.00%
70%
90%
2014
22.22%
10.00%
50.00%
100.00%
90%
100%
2015
11.11%
80.00%
100.00%
100%
100%
2016
90.00%
100.00%
100%
100%
2017
100.00%
100.00%
100%
100%
2018
100.00%
100.00%
100%
100%
2019
100.00%
100.00%
100%
100%
2020
100.00%
100.00%
100%
100%
2021
100.00%
100.00%
100%
100%
2022
100.00%
100.00%
100%
100%
2023
100.00%
100.00%
100%
100%
2024
100.00%
100.00%
100%
100%
2025
100.00%
100.00%
100%
100%
2026
100.00%
100.00%
100%
100%
2027
100.00%
100.00%
100%
100%
2028
100.00%
100.00%
100%
100%
2029
100.00%
100.00%
100%
100%
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.8: Implementation and Monitoring Schedule for Assigning LT2ESWTR Costs and Benefits
Small System
Small System
Small System
Small System
Small System
Small System
Small System
o
LO
V
0
1
M2 (50k -
Small System
Initial E. coli
Initial Crypto
Initial Bin Class
Second Round E.
Second Round
Second Round
Small System
Technology
System
<100k) System
Year
Implementation
Monitoring
Monitoring
Reporting
coli Monitoring
Crypto Monitoring
Reporting
Benchmarking
Reporting
Implementation
Implementation
A
B
C
D
E
F
G
H
I
J
K
2005
100%
2006
100%
2007
100%
50%
2008
50%
2009
50%
50%
2010
50%
50%
2011
22%
2012
22%
2013
22%
40.00%
2014
22%
50.00%
2015
11%
80.00%
2016
90.00%
2017
100%
100.00%
2018
50%
50%
100.00%
2019
50%
50%
100.00%
2020
100.00%
2021
100.00%
2022
100.00%
2023
100.00%
2024
100.00%
2025
100.00%
2026
100.00%
2027
100.00%
2028
100.00%
2029
100.00%
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.8: Implementation and Monitoring Schedule for Assigning LT2ESWTR Costs and Benefits
Year
Large System
Implementation
M1 (10k - <50k)
System Initial
Round Monitoring
M1 (10k - <50k)
System Initial
Round Reporting
M2 (50k - <100k)
System Initial
Round Monitoring
M2 (50k - <100k)
System Initial
Round Reporting
Large System
Initial Round
Monitoring
Large System
Initial Round
Reporting
M1 (10k - <50k)
System 2nd Round
Monitoring
M1 (10k- <50k)
System 2nd Round
Reporting
M1 (10k - <50k)
System Technology
Reporting
L
M
N
O
P
Q
R
S
T
U
2005
100%
25%
25%
2006
50%
50%
50%
50%
2007
50%
50%
50%
50%
25%
25%
2008
50%
50%
2009
2010
2011
2012
45%
2013
70%
2014
90%
2015
25%
25%
100%
2016
50%
50%
100%
2017
25%
25%
100%
2018
100%
2019
100%
2020
100%
2021
100%
2022
100%
2023
100%
2024
100%
2025
100%
2026
100%
2027
100%
2028
100%
2029
100%
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.8: Implementation and Monitoring Schedule for Assigning LT2ESWTR Costs and Benefits
M2 (50k -
Uncovered
M2 (50k- <100k)
M2 (50k - <100k)
<100k) System
Large System
Large System
Large Systems
M1 (10k-
M2 (50k -
Finished Water
System Second
System Second
Technology
Second Round
Second Round
Technology
<50k) System
<100k) System
Large System
Reservoir
Year
Round Monitoring
Round Reporting
Reporting
Monitoring
Reporting
Reporting
Benchmarking
Benchmarking
Benchmarking
Reporting
V
W
X
Y
Z
AA
AB
AC
AD
AE
2005
50%
2006
50%
2007
2008
10.00%
20%
2009
10.00%
20.00%
20%
2010
20.00%
20.00%
20%
2011
45%
60.00%
20.00%
20.00%
20%
2012
70%
80.00%
20.00%
20.00%
20%
2013
90%
100.00%
20.00%
10.00%
2014
25%
25%
100%
50%
50%
100.00%
10.00%
2015
50%
50%
100%
50%
50%
100.00%
2016
25%
25%
100%
100.00%
2017
100%
100.00%
2018
100%
100.00%
2019
100%
100.00%
2020
100%
100.00%
2021
100%
100.00%
2022
100%
100.00%
2023
100%
100.00%
2024
100%
100.00%
2025
100%
100.00%
2026
100%
100.00%
2027
100%
100.00%
2028
100%
100.00%
2029
100%
100.00%
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.9: Treatment Schedule for Assigning LT2ESWTR Costs and Benefits
Small System
Filtered
Small System
Filtered
Small System
Unfiltered
Small System
Unfiltered
Small System
Uncovered
Small
System
Uncovered
M1 (10k-
<50k) System
Filtered
M1 (10k-
<50k) System
Filtered
M1 (10k-
<50k) System
Unfiltered
M1 (10k-
<50k) System
Unfiltered
M1(10k-
<50k) System
Uncovered
M1 (10k-
<50k)
Systems
Uncovered
Treatment
T reatment
T reatment
T reatment
Reservoirs
Reservoirs
Treatment
Treatment
Treatment
Treatment
Reservoirs
Reservoirs
Year
Capital
O&M
Capital
O&M
Capital
O&M
Capital
O&M
Capital
O&M
Capital
O&M
A
B
C
D
E
F
G
H
I
J
K
L
2005
33%
33%
2006
33%
33%
33%
33%
2007
33%
67%
33%
67%
2008
100%
100%
2009
100%
5%
5%
100%
2010
100%
15%
5.00%
15%
5.00%
100%
2011
10.00%
10.00%
100%
25%
20.00%
25%
20.00%
100%
2012
20.00%
10.00%
20.00%
10.00%
100%
25%
45.00%
25%
45.00%
100%
2013
30.00%
30.00%
30.00%
30.00%
100%
20%
70.00%
20%
70.00%
100%
2014
30.00%
50.00%
30.00%
50.00%
100%
10.00%
90.00%
10.00%
90.00%
100%
2015
10.00%
80.00%
10.00%
80.00%
100%
100.00%
100.00%
100%
2016
90.00%
90.00%
100%
100.00%
100.00%
100%
2017
100.00%
100.00%
100%
100.00%
100.00%
100%
2018
100.00%
100.00%
100%
100.00%
100.00%
100%
2019
100.00%
100.00%
100%
100.00%
100.00%
100%
2020
100.00%
100.00%
100%
100.00%
100.00%
100%
2021
100.00%
100.00%
100%
100.00%
100.00%
100%
2022
100.00%
100.00%
100%
100.00%
100.00%
100%
2023
100.00%
100.00%
100%
100.00%
100.00%
100%
2024
100.00%
100.00%
100%
100.00%
100.00%
100%
2025
100.00%
100.00%
100%
100.00%
100.00%
100%
2026
100.00%
100.00%
100%
100.00%
100.00%
100%
2027
100.00%
100.00%
100%
100.00%
100.00%
100%
2028
100.00%
100.00%
100%
100.00%
100.00%
100%
2029
100.00%
100.00%
100%
100.00%
100.00%
100%
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.9: Treatment Schedule for Assigning LT2ESWTR Costs and Benefits
M2 (50k -
M2 (50k -
M2 (50k -
M2 (50k -
M2(50k -
M2 (50k -
<100k)
<100k)
<100k)
<100k)
<100k)
<100k)
Large
Large
Large
Large
Large
Large
System
System
System
System
System
System
System
System
System
System
System
System
Filtered
Filtered
Unfiltered
Unfiltered
Uncovered
Uncovered
Filtered
Filtered
Unfiltered
Unfiltered
Uncovered
Uncovered
Treatment
Treatment
Treatment
Treatment
Reservoirs
Reservoirs
Treatment
Treatment
Treatment
Treatment
Reservoirs
Reservoirs
Year
Capital
O&M
Capital
O&M
Capital
O&M
Capital
O&M
Capital
O&M
Capital
O&M
M
N
0
P
Q
R
S
T
U
V
W
X
2005
33%
33%
2006
33%
33%
33%
33%
2007
33%
67%
33%
67%
2008
5%
5%
100%
10.00%
10.00%
100%
2009
15%
5.00%
15%
5.00%
100%
20.00%
10.00%
20.00%
10.00%
100%
2010
25%
20.00%
25%
20.00%
100%
30.00%
30.00%
30.00%
30.00%
100%
2011
25%
45.00%
25%
45.00%
100%
20.00%
60.00%
20.00%
60.00%
100%
2012
20%
70.00%
20%
70.00%
100%
20.00%
80.00%
20.00%
80.00%
100%
2013
10.00%
90.00%
10.00%
90.00%
100%
100.00%
100.00%
100%
2014
100.00%
100.00%
100%
100.00%
100.00%
100%
2015
100.00%
100.00%
100%
100.00%
100.00%
100%
2016
100.00%
100.00%
100%
100.00%
100.00%
100%
2017
100.00%
100.00%
100%
100.00%
100.00%
100%
2018
100.00%
100.00%
100%
100.00%
100.00%
100%
2019
100.00%
100.00%
100%
100.00%
100.00%
100%
2020
100.00%
100.00%
100%
100.00%
100.00%
100%
2021
100.00%
100.00%
100%
100.00%
100.00%
100%
2022
100.00%
100.00%
100%
100.00%
100.00%
100%
2023
100.00%
100.00%
100%
100.00%
100.00%
100%
2024
100.00%
100.00%
100%
100.00%
100.00%
100%
2025
100.00%
100.00%
100%
100.00%
100.00%
100%
2026
100.00%
100.00%
100%
100.00%
100.00%
100%
2027
100.00%
100.00%
100%
100.00%
100.00%
100%
2028
100.00%
100.00%
100%
100.00%
100.00%
100%
2029
100.00%
100.00%
100%
100.00%
100.00%
100%
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit O.10a: State Costs - Present Value, 3% (ICR, Mean)
Crypto
E.coli
Crypto
E. coli
Monitoring
Monitoring
Monitoring
Uncovered
Monitoring
Review
Review
Review
Finished Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$
0.00
$
$
$
$
$
0.01
$
0.50
$
0.00
$
0.51
100-499
$
0.01
$
$
$
$
$
0.01
$
0.43
$
$
0.46
500-999
$
0.02
$
$
$
$
$
0.01
$
0.19
$
$
0.21
1,000-3,299
$
0.09
$
$
$
$
$
0.06
$
2.18
$
-
$
2.33
3,300-9,999
$
0.26
$
$
$
$
$
0.06
$
2.00
$
0.00
$
2.31
10,000-49,999
$
1.03
$
$
0.07
$
2.48
$
0.00
$
3.58
50,000-99,999
$
0.72
$
$
0.02
$
0.72
$
0.00
$
1.45
100,000-999,99S
$
2.99
$
$
0.02
$
0.87
$
0.00
$
3.89
1,000,000+
$
2.53
$
$
0.00
$
0.15
$
0.00
$
2.69
Total
$
7.66
$
$
$
$
$
0.26
$
9.52
$
17.44
Rule Alternative A2
<100
$
0.00
$
0.02
$
0.02
$
0.02
$
0.01
$
0.01
$
0.44
$
0.00
$
0.52
100-499
$
0.01
$
0.12
$
0.08
$
0.08
$
0.04
$
0.01
$
0.38
$
$
0.72
500-999
$
0.02
$
0.14
$
0.09
$
0.09
$
0.04
$
0.00
$
0.17
$
$
0.56
1,000-3,299
$
0.09
$
0.79
$
0.48
$
0.52
$
0.24
$
0.02
$
0.59
$
-
$
2.73
3,300-9,999
$
0.26
$
2.20
$
1.35
$
1.46
$
0.69
$
0.01
$
0.54
$
0.00
$
6.50
10,000-49,999
$
1.03
$
0.15
$
0.02
$
0.93
$
0.00
$
2.14
50,000-99,999
$
0.72
$
0.11
$
0.01
$
0.27
$
0.00
$
1.10
100,000-999,99S
$
2.99
$
0.47
$
0.01
$
0.32
$
0.00
$
3.80
1,000,000+
$
2.53
$
0.40
$
0.00
$
0.06
$
0.00
$
2.99
Total
$
7.66
$
3.28
$
2.00
$
2.17
$
2.16
$
0.10
$
3.71
$
0.00
$
21.07
Rule Alternative A3
<100
$
0.00
$
0.02
$
0.02
$
0.02
$
0.01
$
0.01
$
0.34
$
0.00
$
0.41
100-499
$
0.01
$
0.12
$
0.08
$
0.08
$
0.04
$
0.01
$
0.29
$
$
0.63
500-999
$
0.02
$
0.14
$
0.09
$
0.09
$
0.04
$
0.00
$
0.13
$
$
0.52
1,000-3,299
$
0.09
$
0.79
$
0.48
$
0.52
$
0.24
$
0.01
$
0.30
$
-
$
2.43
3,300-9,999
$
0.26
$
2.20
$
1.35
$
1.46
$
0.69
$
0.01
$
0.27
$
0.00
$
6.23
10,000-49,999
$
1.03
$
0.15
$
0.02
$
0.85
$
0.00
$
2.06
50,000-99,999
$
0.72
$
0.11
$
0.01
$
0.25
$
0.00
$
1.08
100,000-999,99S
$
2.99
$
0.47
$
0.01
$
0.29
$
0.00
$
3.77
1,000,000+
$
2.53
$
0.40
$
0.00
$
0.05
$
0.00
$
2.99
Total
$
7.66
$
3.28
$
2.00
$
2.17
$
2.16
$
0.07
$
2.77
$
0.00
$
20.11
Rule Alternative A3 UV90-10B
<100
$
0.00
$
0.02
$
0.02
$
0.02
$
0.01
$
0.01
$
0.34
$
0.00
$
0.41
100-499
$
0.01
$
0.12
$
0.08
$
0.08
$
0.04
$
0.01
$
0.29
$
$
0.63
500-999
$
0.02
$
0.14
$
0.09
$
0.09
$
0.04
$
0.00
$
0.13
$
$
0.52
1,000-3,299
$
0.09
$
0.79
$
0.48
$
0.52
$
0.24
$
0.01
$
0.30
$
-
$
2.43
3,300-9,999
$
0.26
$
2.20
$
1.35
$
1.46
$
0.69
$
0.01
$
0.27
$
0.00
$
6.23
10,000-49,999
$
1.03
$
0.15
$
0.02
$
0.87
$
0.00
$
2.07
50,000-99,999
$
0.72
$
0.11
$
0.01
$
0.25
$
0.00
$
1.08
100,000-999,99S
$
2.99
$
0.47
$
0.01
$
0.30
$
0.00
$
3.77
1,000,000+
$
2.53
$
0.40
$
0.00
$
0.05
$
0.00
$
2.99
Total
$
7.66
$
3.28
$
2.00
$
2.17
$
2.16
$
0.07
$
2.80
$
0.00
$
20.14
Rule Alternative A4
<100
$
0.00
$
0.02
$
0.02
$
0.02
$
0.01
$
0.01
$
0.23
$
0.00
$
0.30
100-499
$
0.01
$
0.12
$
0.08
$
0.08
$
0.04
$
0.01
$
0.19
$
$
0.53
500-999
$
0.02
$
0.14
$
0.09
$
0.09
$
0.04
$
0.00
$
0.10
$
$
0.48
1,000-3,299
$
0.09
$
0.79
$
0.48
$
0.52
$
0.24
$
0.00
$
0.12
$
-
$
2.25
3,300-9,999
$
0.26
$
2.20
$
1.35
$
1.46
$
0.69
$
0.00
$
0.11
$
0.00
$
6.06
10,000-49,999
$
1.03
$
0.15
$
0.01
$
0.42
$
0.00
$
1.61
50,000-99,999
$
0.72
$
0.11
$
0.00
$
0.12
$
0.00
$
0.95
100,000-999,99S
$
2.99
$
0.47
$
0.00
$
0.14
$
0.00
$
3.61
1,000,000+
$
2.53
$
0.40
$
0.00
$
0.03
$
0.00
$
2.96
Total
$
7.66
$
3.28
$
2.00
$
2.17
$
2.16
$
0.04
$
1.46
$
0.00
$
18.76
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit O.10b: State Costs - Present Value, 3% (ICR, Low)
Crypto
E.coli
Crypto
Uncovered
E. coli
Monitoring
Monitoring
Monitoring
Finished
Monitoring
Review
Review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.01
$ 0.50
$ 0.000
$ 0.51
100-499
$ 0.01
$
$
$
$
$ 0.01
$ 0.43
$
$ 0.46
500-999
$ 0.02
$
$
$
$
$ 0.01
$ 0.19
$
$ 0.21
1,000-3,299
$ 0.09
$
$
$
$
$ 0.06
$ 2.18
$
$ 2.33
3,300-9,999
$ 0.26
$
$
$
$
$ 0.06
$ 2.01
$ 0.000
$ 2.32
10,000-49,999
$ 1.03
$
$ 0.07
$ 2.61
$ 0.000
$ 3.70
50,000-99,999
$ 0.72
$
$ 0.02
$ 0.76
$ 0.000
$ 1.49
100,000-999,999
$ 2.99
$
$ 0.02
$ 0.92
$ 0.003
$ 3.93
1,000,000+
$ 2.53
$
$ 0.00
$ 0.16
$ 0.000
$ 14.97
Total
$ 7.66
$
$
$
$
$ 0.26
$ 9.75
$ 0.003
$ 29.94
Rule Alternative A2
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.40
$ 0.000
$ 0.48
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.01
$ 0.35
$
$ 0.69
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.16
$
$ 0.54
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.02
$ 0.54
$
$ 2.68
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.01
$ 0.50
$ 0.000
$ 6.46
10,000-49,999
$ 1.03
$ 0.15
$ 0.02
$ 0.89
$ 0.000
$ 2.09
50,000-99,999
$ 0.72
$ 0.11
$ 0.01
$ 0.26
$ 0.000
$ 1.09
100,000-999,999
$ 2.99
$ 0.47
$ 0.01
$ 0.31
$ 0.003
$ 3.78
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.06
$ 0.000
$ 2.99
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.09
$ 3.46
$ 0.003
$ 20.82
Rule Alternative A3
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.31
$ 0.000
$ 0.38
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.01
$ 0.26
$
$ 0.60
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.12
$
$ 0.51
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.01
$ 0.26
$
$ 2.39
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.01
$ 0.23
$ 0.000
$ 6.19
10,000-49,999
$ 1.03
$ 0.15
$ 0.02
$ 0.79
$ 0.000
$ 2.00
50,000-99,999
$ 0.72
$ 0.11
$ 0.01
$ 0.23
$ 0.000
$ 1.06
100,000-999,999
$ 2.99
$ 0.47
$ 0.01
$ 0.27
$ 0.003
$ 3.75
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.05
$ 0.000
$ 2.99
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.07
$ 2.53
$ 0.003
$ 19.86
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.31
$ 0.000
$ 0.38
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.01
$ 0.26
$
$ 0.60
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.12
$
$ 0.51
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.01
$ 0.26
$
$ 2.39
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.01
$ 0.24
$ 0.000
$ 6.19
10,000-49,999
$ 1.03
$ 0.15
$ 0.02
$ 0.81
$ 0.000
$ 2.01
50,000-99,999
$ 0.72
$ 0.11
$ 0.01
$ 0.24
$ 0.000
$ 1.07
100,000-999,999
$ 2.99
$ 0.47
$ 0.01
$ 0.28
$ 0.003
$ 3.75
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.05
$ 0.000
$ 2.99
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.07
$ 2.55
$ 0.003
$ 19.89
Rule Alternative A4
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.00
$ 0.17
$ 0.000
$ 0.25
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.00
$ 0.16
$
$ 0.50
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.09
$
$ 0.48
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.00
$ 0.11
$
$ 2.24
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.00
$ 0.11
$ 0.000
$ 6.06
10,000-49,999
$ 1.03
$ 0.15
$ 0.01
$ 0.38
$ 0.000
$ 1.57
50,000-99,999
$ 0.72
$ 0.11
$ 0.00
$ 0.11
$ 0.000
$ 0.94
100,000-999,999
$ 2.99
$ 0.47
$ 0.00
$ 0.13
$ 0.003
$ 3.60
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.02
$ 0.000
$ 2.96
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.03
$ 1.28
$ 0.003
$ 18.58
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.10c: State Costs - Present Value, 3% (ICR, High)
Crypto
E.coli
Crypto
Uncovered
E. coli
Monitoring
Monitoring
Monitoring
Finished
Monitoring
Review
Review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.01
$ 0.50
$ 0.00
$ 0.51
100-499
$ 0.01
$
$
$
$
$ 0.01
$ 0.43
$
$ 0.46
500-999
$ 0.02
$
$
$
$
$ 0.01
$ 0.19
$
$ 0.21
1,000-3,299
$ 0.09
$
$
$
$
$ 0.06
$ 2.18
$
$ 2.33
3,300-9,999
$ 0.26
$
$
$
$
$ 0.06
$ 2.01
$ 0.00
$ 2.32
10,000-49,999
$ 1.03
$
$ 0.07
$ 2.61
$ 0.00
$ 3.70
50,000-99,999
$ 0.72
$
$ 0.02
$ 0.76
$ 0.00
$ 1.49
100,000-999,999
$ 2.99
$
$ 0.02
$ 0.92
$ 0.00
$ 3.93
1,000,000+
$ 2.53
$
$ 0.00
$ 0.16
$ 0.00
$ 2.70
Total
$ 7.66
$
$
$
$
$ 0.26
$ 9.75
$ 0.00
$ 17.67
Rule Alternative A2
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.48
$ 0.00
$ 0.56
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.01
$ 0.42
$
$ 0.76
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.01
$ 0.19
$
$ 0.57
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.02
$ 0.66
$
$ 2.80
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.02
$ 0.60
$ 0.00
$ 6.57
10,000-49,999
$ 1.03
$ 0.15
$ 0.03
$ 1.05
$ 0.00
$ 2.26
50,000-99,999
$ 0.72
$ 0.11
$ 0.01
$ 0.31
$ 0.00
$ 1.14
100,000-999,999
$ 2.99
$ 0.47
$ 0.01
$ 0.36
$ 0.00
$ 3.84
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.06
$ 0.00
$ 3.00
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.11
$ 4.13
$ 0.00
$ 21.51
Rule Alternative A3
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.36
$ 0.00
$ 0.44
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.01
$ 0.31
$
$ 0.65
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.14
$
$ 0.53
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.01
$ 0.33
$
$ 2.46
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.01
$ 0.30
$ 0.00
$ 6.26
10,000-49,999
$ 1.03
$ 0.15
$ 0.02
$ 0.94
$ 0.00
$ 2.15
50,000-99,999
$ 0.72
$ 0.11
$ 0.01
$ 0.28
$ 0.00
$ 1.11
100,000-999,999
$ 2.99
$ 0.47
$ 0.01
$ 0.32
$ 0.00
$ 3.80
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.06
$ 0.00
$ 2.99
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.08
$ 3.04
$ 0.00
$ 20.39
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.36
$ 0.00
$ 0.44
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.01
$ 0.31
$
$ 0.65
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.14
$
$ 0.53
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.01
$ 0.33
$
$ 2.46
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.01
$ 0.30
$ 0.00
$ 6.26
10,000-49,999
$ 1.03
$ 0.15
$ 0.02
$ 0.96
$ 0.00
$ 2.17
50,000-99,999
$ 0.72
$ 0.11
$ 0.01
$ 0.28
$ 0.00
$ 1.11
100,000-999,999
$ 2.99
$ 0.47
$ 0.01
$ 0.33
$ 0.00
$ 3.81
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.06
$ 0.00
$ 3.00
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.08
$ 3.08
$ 0.00
$ 20.42
Rule Alternative A4
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.00
$ 0.18
$ 0.00
$ 0.25
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.00
$ 0.17
$
$ 0.51
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.10
$
$ 0.48
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.00
$ 0.12
$
$ 2.25
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.00
$ 0.11
$ 0.00
$ 6.07
10,000-49,999
$ 1.03
$ 0.15
$ 0.01
$ 0.46
$ 0.00
$ 1.66
50,000-99,999
$ 0.72
$ 0.11
$ 0.00
$ 0.14
$ 0.00
$ 0.97
100,000-999,999
$ 2.99
$ 0.47
$ 0.00
$ 0.16
$ 0.00
$ 3.63
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.03
$ 0.00
$ 2.96
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.04
$ 1.46
$ 0.00
$ 18.77
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit Q.10d: State Costs - Present Value, 3% (ICRSSM, Mean)
Crypto
E.coli
Crypto
Uncovered
E. coli
Monitoring
Monitoring
Monitoring
Finished
Monitoring
Review
Review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
F
G
H
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.01
$ 0.50
$ 0.000
$ 0.51
100-499
$ 0.01
$
$
$
$
$ 0.01
$ 0.43
$
$ 0.46
500-999
$ 0.02
$
$
$
$
$ 0.01
$ 0.19
$
$ 0.21
1,000-3,299
$ 0.09
$
$
$
$
$ 0.06
$ 2.18
$
$ 2.33
3,300-9,999
$ 0.26
$
$
$
$
$ 0.06
$ 2.01
$ 0.000
$ 2.32
10,000-49,999
$ 1.03
$
$ 0.07
$ 2.61
$ 0.000
$ 3.70
50,000-99,999
$ 0.72
$
$ 0.02
$ 0.76
$ 0.000
$ 1.49
100,000-999,999
$ 2.99
$
$ 0.02
$ 0.92
$ 0.003
$ 3.93
1,000,000+
$ 2.53
$
$ 0.00
$ 0.16
$ 0.000
$ 2.70
Total
$ 7.66
$
$
$
$
$ 0.26
$ 9.75
$ 17.67
Rule Alternative A2
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.31
$ 0.000
$ 0.39
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.01
$ 0.27
$
$ 0.61
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.13
$
$ 0.51
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.01
$ 0.43
$
$ 2.56
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.01
$ 0.39
$ 0.000
$ 6.35
10,000-49,999
$ 1.03
$ 0.15
$ 0.02
$ 0.79
$ 0.000
$ 1.99
50,000-99,999
$ 0.72
$ 0.11
$ 0.01
$ 0.23
$ 0.000
$ 1.06
100,000-999,999
$ 2.99
$ 0.47
$ 0.01
$ 0.27
$ 0.003
$ 3.74
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.05
$ 0.000
$ 2.99
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.08
$ 2.87
$ 0.003
$ 20.21
Rule Alternative A3
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.26
$ 0.000
$ 0.33
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.01
$ 0.21
$
$ 0.55
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.11
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.00
$ 0.17
$
$ 2.29
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.00
$ 0.15
$ 0.000
$ 6.11
10,000-49,999
$ 1.03
$ 0.15
$ 0.02
$ 0.67
$ 0.000
$ 1.87
50,000-99,999
$ 0.72
$ 0.11
$ 0.00
$ 0.20
$ 0.000
$ 1.03
100,000-999,999
$ 2.99
$ 0.47
$ 0.01
$ 0.23
$ 0.003
$ 3.70
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.04
$ 0.000
$ 2.98
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.05
$ 2.03
$ 0.003
$ 19.35
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.26
$ 0.000
$ 0.33
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.01
$ 0.21
$
$ 0.55
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.11
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.00
$ 0.17
$
$ 2.29
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.00
$ 0.15
$ 0.000
$ 6.11
10,000-49,999
$ 1.03
$ 0.15
$ 0.02
$ 0.68
$ 0.000
$ 1.88
50,000-99,999
$ 0.72
$ 0.11
$ 0.00
$ 0.20
$ 0.000
$ 1.03
100,000-999,999
$ 2.99
$ 0.47
$ 0.01
$ 0.23
$ 0.003
$ 3.70
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.04
$ 0.000
$ 2.98
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.05
$ 2.05
$ 0.003
$ 19.37
Rule Alternative A4
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.20
$ 0.000
$ 0.28
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.00
$ 0.17
$
$ 0.51
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.09
$
$ 0.47
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.00
$ 0.10
$
$ 2.23
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.00
$ 0.10
$ 0.000
$ 6.05
10,000-49,999
$ 1.03
$ 0.15
$ 0.01
$ 0.27
$ 0.000
$ 1.46
50,000-99,999
$ 0.72
$ 0.11
$ 0.00
$ 0.08
$ 0.000
$ 0.91
100,000-999,999
$ 2.99
$ 0.47
$ 0.00
$ 0.09
$ 0.003
$ 3.56
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.02
$ 0.000
$ 2.95
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.03
$ 1.11
$ 0.003
$ 18.41
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit O.jQe: State Costs - Present Value, 3% (ICRSSM, Low)
Crypto
E.coli
Crypto
Uncovered
E. coli
Monitoring
Monitoring
Monitoring
Finished
Monitoring
Review
Review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.01
$ 0.50
$ 0.000
$ 0.51
100-499
$ 0.01
$
$
$
$
$ 0.01
$ 0.43
$
$ 0.46
500-999
$ 0.02
$
$
$
$
$ 0.01
$ 0.19
$
$ 0.21
1,000-3,299
$ 0.09
$
$
$
$
$ 0.06
$ 2.18
$
$ 2.33
3,300-9,999
$ 0.26
$
$
$
$
$ 0.06
$ 2.01
$ 0.000
$ 2.32
10,000-49,999
$ 1.03
$
$ 0.07
$ 2.61
$ 0.000
$ 3.70
50,000-99,999
$ 0.72
$
$ 0.02
$ 0.76
$ 0.000
$ 1.49
100,000-999,999
$ 2.99
$
$ 0.02
$ 0.92
$ 0.003
$ 3.93
1,000,000+
$ 2.53
$
$ 0.00
$ 0.16
$ 0.000
$ 2.70
Total
$ 7.66
$
$
$
$
$ 0.26
$ 9.75
$ 0.003
$ 17.67
Rule Alternative A2
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.29
$ 0.000
$ 0.37
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.01
$ 0.25
$
$ 0.59
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.12
$
$ 0.50
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.01
$ 0.38
$
$ 2.52
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.01
$ 0.35
$ 0.000
$ 6.31
10,000-49,999
$ 1.03
$ 0.15
$ 0.02
$ 0.71
$ 0.000
$ 1.91
50,000-99,999
$ 0.72
$ 0.11
$ 0.01
$ 0.21
$ 0.000
$ 1.04
100,000-999,999
$ 2.99
$ 0.47
$ 0.01
$ 0.24
$ 0.003
$ 3.72
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.04
$ 0.000
$ 2.98
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.07
$ 2.59
$ 0.003
$ 19.93
Rule Alternative A3
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.24
$ 0.000
$ 0.31
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.01
$ 0.20
$
$ 0.54
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.10
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.00
$ 0.15
$
$ 2.27
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.00
$ 0.13
$ 0.000
$ 6.09
10,000-49,999
$ 1.03
$ 0.15
$ 0.02
$ 0.60
$ 0.000
$ 1.80
50,000-99,999
$ 0.72
$ 0.11
$ 0.00
$ 0.18
$ 0.000
$ 1.00
100,000-999,999
$ 2.99
$ 0.47
$ 0.01
$ 0.20
$ 0.003
$ 3.68
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.04
$ 0.000
$ 2.97
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.05
$ 1.84
$ 0.003
$ 19.15
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.24
$ 0.000
$ 0.31
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.01
$ 0.20
$
$ 0.54
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.10
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.00
$ 0.15
$
$ 2.27
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.00
$ 0.13
$ 0.000
$ 6.09
10,000-49,999
$ 1.03
$ 0.15
$ 0.02
$ 0.61
$ 0.000
$ 1.80
50,000-99,999
$ 0.72
$ 0.11
$ 0.00
$ 0.18
$ 0.000
$ 1.01
100,000-999,999
$ 2.99
$ 0.47
$ 0.01
$ 0.21
$ 0.003
$ 3.68
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.04
$ 0.000
$ 2.97
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.05
$ 1.85
$ 0.003
$ 19.17
Rule Alternative A4
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.20
$ 0.000
$ 0.27
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.00
$ 0.16
$
$ 0.50
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.09
$
$ 0.47
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.00
$ 0.10
$
$ 2.22
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.00
$ 0.09
$ 0.000
$ 6.04
10,000-49,999
$ 1.03
$ 0.15
$ 0.01
$ 0.24
$ 0.000
$ 1.43
50,000-99,999
$ 0.72
$ 0.11
$ 0.00
$ 0.07
$ 0.000
$ 0.90
100,000-999,999
$ 2.99
$ 0.47
$ 0.00
$ 0.08
$ 0.003
$ 3.55
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.02
$ 0.000
$ 2.95
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.03
$ 1.04
$ 0.003
$ 18.33
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit Q.10f: State Costs - Present Value, 3% (ICRSSM, High)
Crypto
E.coli
Crypto
Uncovered
E. coli
Monitoring
Monitoring
Monitoring
Finished
Monitoring
Review
Review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.01
$ 0.50
$ 0.000
$ 0.51
100-499
$ 0.01
$
$
$
$
$ 0.01
$ 0.43
$
$ 0.46
500-999
$ 0.02
$
$
$
$
$ 0.01
$ 0.19
$
$ 0.21
1,000-3,299
$ 0.09
$
$
$
$
$ 0.06
$ 2.18
$
$ 2.33
3,300-9,999
$ 0.26
$
$
$
$
$ 0.06
$ 2.01
$ 0.000
$ 2.32
10,000-49,999
$ 1.03
$
$ 0.07
$ 2.61
$ 0.000
$ 3.70
50,000-99,999
$ 0.72
$
$ 0.02
$ 0.76
$ 0.000
$ 1.49
100,000-999,999
$ 2.99
$
$ 0.02
$ 0.92
$ 0.003
$ 3.93
1,000,000+
$ 2.53
$
$ 0.00
$ 0.16
$ 0.000
$ 2.70
Total
$ 7.66
$
$
$
$
$ 0.26
$ 9.75
$ 0.003
$ 17.67
Rule Alternative A2
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.34
$ 0.000
$ 0.42
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.01
$ 0.29
$
$ 0.63
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.14
$
$ 0.52
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.01
$ 0.47
$
$ 2.61
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.01
$ 0.43
$ 0.000
$ 6.39
10,000-49,999
$ 1.03
$ 0.15
$ 0.02
$ 0.86
$ 0.000
$ 2.07
50,000-99,999
$ 0.72
$ 0.11
$ 0.01
$ 0.25
$ 0.000
$ 1.08
100,000-999,999
$ 2.99
$ 0.47
$ 0.01
$ 0.30
$ 0.003
$ 3.77
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.05
$ 0.000
$ 2.99
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.08
$ 3.13
$ 0.003
$ 20.48
Rule Alternative A3
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.27
$ 0.000
$ 0.34
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.01
$ 0.23
$
$ 0.57
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.11
$
$ 0.50
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.01
$ 0.19
$
$ 2.31
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.00
$ 0.17
$ 0.000
$ 6.12
10,000-49,999
$ 1.03
$ 0.15
$ 0.02
$ 0.73
$ 0.000
$ 1.93
50,000-99,999
$ 0.72
$ 0.11
$ 0.01
$ 0.21
$ 0.000
$ 1.04
100,000-999,999
$ 2.99
$ 0.47
$ 0.01
$ 0.25
$ 0.003
$ 3.72
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.05
$ 0.000
$ 2.98
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.06
$ 2.20
$ 0.003
$ 19.52
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.27
$ 0.000
$ 0.34
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.01
$ 0.23
$
$ 0.57
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.11
$
$ 0.50
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.01
$ 0.19
$
$ 2.31
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.00
$ 0.17
$ 0.000
$ 6.13
10,000-49,999
$ 1.03
$ 0.15
$ 0.02
$ 0.74
$ 0.000
$ 1.94
50,000-99,999
$ 0.72
$ 0.11
$ 0.01
$ 0.22
$ 0.000
$ 1.05
100,000-999,999
$ 2.99
$ 0.47
$ 0.01
$ 0.25
$ 0.003
$ 3.73
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.05
$ 0.000
$ 2.98
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.06
$ 2.22
$ 0.003
$ 19.54
Rule Alternative A4
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.21
$ 0.000
$ 0.28
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.00
$ 0.17
$
$ 0.51
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.09
$
$ 0.48
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.00
$ 0.11
$
$ 2.23
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.00
$ 0.10
$ 0.000
$ 6.05
10,000-49,999
$ 1.03
$ 0.15
$ 0.01
$ 0.30
$ 0.000
$ 1.49
50,000-99,999
$ 0.72
$ 0.11
$ 0.00
$ 0.09
$ 0.000
$ 0.92
100,000-999,999
$ 2.99
$ 0.47
$ 0.00
$ 0.10
$ 0.003
$ 3.57
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.02
$ 0.000
$ 2.96
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.03
$ 1.18
$ 0.003
$ 18.48
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit Q.10g: State Costs - Present Value, 3% (ICRSSL, Mean)
Crypto
E.coli
Crypto
Uncovered
E. coli
Monitoring
Monitoring
Monitoring
Finished
Monitoring
Review
Review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.01
$ 0.50
$ 0.000
$ 0.51
100-499
$ 0.01
$
$
$
$
$ 0.01
$ 0.43
$
$ 0.46
500-999
$ 0.02
$
$
$
$
$ 0.01
$ 0.19
$
$ 0.21
1,000-3,299
$ 0.09
$
$
$
$
$ 0.06
$ 2.18
$
$ 2.33
3,300-9,999
$ 0.26
$
$
$
$
$ 0.06
$ 2.01
$ 0.000
$ 2.32
10,000-49,999
$ 1.03
$
$ 0.07
$ 2.61
$ 0.000
$ 3.70
50,000-99,999
$ 0.72
$
$ 0.02
$ 0.76
$ 0.000
$ 1.49
100,000-999,999
$ 2.99
$
$ 0.02
$ 0.92
$ 0.003
$ 3.93
1,000,000+
$ 2.53
$
$ 0.00
$ 0.16
$ 0.000
$ 2.70
Total
$ 7.66
$
$
$
$
$ 0.26
$ 9.75
$ 0.003
$ 17.67
Rule Alternative A2
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.28
$ 0.000
$ 0.36
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.01
$ 0.24
$
$ 0.58
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.12
$
$ 0.50
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.01
$ 0.35
$
$ 2.48
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.01
$ 0.32
$ 0.000
$ 6.28
10,000-49,999
$ 1.03
$ 0.15
$ 0.02
$ 0.69
$ 0.000
$ 1.89
50,000-99,999
$ 0.72
$ 0.11
$ 0.01
$ 0.20
$ 0.000
$ 1.03
100,000-999,999
$ 2.99
$ 0.47
$ 0.01
$ 0.24
$ 0.003
$ 3.71
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.04
$ 0.000
$ 2.98
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.07
$ 2.48
$ 0.003
$ 19.81
Rule Alternative A3
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.23
$ 0.000
$ 0.31
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.01
$ 0.19
$
$ 0.53
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.10
$
$ 0.48
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.00
$ 0.13
$
$ 2.26
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.00
$ 0.12
$ 0.000
$ 6.07
10,000-49,999
$ 1.03
$ 0.15
$ 0.01
$ 0.56
$ 0.000
$ 1.76
50,000-99,999
$ 0.72
$ 0.11
$ 0.00
$ 0.16
$ 0.000
$ 0.99
100,000-999,999
$ 2.99
$ 0.47
$ 0.00
$ 0.19
$ 0.003
$ 3.66
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.04
$ 0.000
$ 2.97
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.05
$ 1.73
$ 0.003
$ 19.04
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.23
$ 0.000
$ 0.31
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.01
$ 0.19
$
$ 0.53
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.10
$
$ 0.48
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.00
$ 0.13
$
$ 2.26
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.00
$ 0.12
$ 0.000
$ 6.08
10,000-49,999
$ 1.03
$ 0.15
$ 0.01
$ 0.57
$ 0.000
$ 1.77
50,000-99,999
$ 0.72
$ 0.11
$ 0.00
$ 0.17
$ 0.000
$ 1.00
100,000-999,999
$ 2.99
$ 0.47
$ 0.00
$ 0.19
$ 0.003
$ 3.66
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.04
$ 0.000
$ 2.97
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.05
$ 1.74
$ 0.003
$ 19.05
Rule Alternative A4
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.19
$ 0.000
$ 0.26
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.00
$ 0.16
$
$ 0.49
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.08
$
$ 0.47
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.00
$ 0.09
$
$ 2.22
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.00
$ 0.09
$ 0.000
$ 6.04
10,000-49,999
$ 1.03
$ 0.15
$ 0.01
$ 0.20
$ 0.000
$ 1.39
50,000-99,999
$ 0.72
$ 0.11
$ 0.00
$ 0.06
$ 0.000
$ 0.89
100,000-999,999
$ 2.99
$ 0.47
$ 0.00
$ 0.07
$ 0.003
$ 3.53
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.01
$ 0.000
$ 2.95
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.03
$ 0.96
$ 0.003
$ 18.25
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit Q.10h: State Costs - Present Value, 3% (ICRSSL, Low)
Crypto
E.coli
Crypto
Uncovered
E. coli
Monitoring
Monitoring
Monitoring
Finished
Monitoring
Review
Review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.01
$ 0.50
$ 0.000
$ 0.51
100-499
$ 0.01
$
$
$
$
$ 0.01
$ 0.43
$
$ 0.46
500-999
$ 0.02
$
$
$
$
$ 0.01
$ 0.19
$
$ 0.21
1,000-3,299
$ 0.09
$
$
$
$
$ 0.06
$ 2.18
$
$ 2.33
3,300-9,999
$ 0.26
$
$
$
$
$ 0.06
$ 2.01
$ 0.000
$ 2.32
10,000-49,999
$ 1.03
$
$ 0.07
$ 2.61
$ 0.000
$ 3.70
50,000-99,999
$ 0.72
$
$ 0.02
$ 0.76
$ 0.000
$ 1.49
100,000-999,999
$ 2.99
$
$ 0.02
$ 0.92
$ 0.003
$ 3.93
1,000,000+
$ 2.53
$
$ 0.00
$ 0.16
$ 0.000
$ 2.70
Total
$ 7.66
$
$
$
$
$ 0.26
$ 9.75
$ 0.003
$ 17.67
Rule Alternative A2
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.26
$ 0.000
$ 0.33
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.01
$ 0.22
$
$ 0.56
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.11
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.01
$ 0.29
$
$ 2.42
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.01
$ 0.26
$ 0.000
$ 6.22
10,000-49,999
$ 1.03
$ 0.15
$ 0.02
$ 0.58
$ 0.000
$ 1.78
50,000-99,999
$ 0.72
$ 0.11
$ 0.00
$ 0.17
$ 0.000
$ 1.00
100,000-999,999
$ 2.99
$ 0.47
$ 0.00
$ 0.20
$ 0.003
$ 3.67
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.04
$ 0.000
$ 2.97
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.06
$ 2.11
$ 0.003
$ 19.43
Rule Alternative A3
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.22
$ 0.000
$ 0.29
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.00
$ 0.18
$
$ 0.52
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.09
$
$ 0.48
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.00
$ 0.12
$
$ 2.24
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.00
$ 0.11
$ 0.000
$ 6.06
10,000-49,999
$ 1.03
$ 0.15
$ 0.01
$ 0.46
$ 0.000
$ 1.65
50,000-99,999
$ 0.72
$ 0.11
$ 0.00
$ 0.13
$ 0.000
$ 0.96
100,000-999,999
$ 2.99
$ 0.47
$ 0.00
$ 0.15
$ 0.003
$ 3.63
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.03
$ 0.000
$ 2.96
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.04
$ 1.48
$ 0.003
$ 18.79
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.22
$ 0.000
$ 0.29
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.00
$ 0.18
$
$ 0.52
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.09
$
$ 0.48
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.00
$ 0.12
$
$ 2.24
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.00
$ 0.11
$ 0.000
$ 6.06
10,000-49,999
$ 1.03
$ 0.15
$ 0.01
$ 0.46
$ 0.000
$ 1.66
50,000-99,999
$ 0.72
$ 0.11
$ 0.00
$ 0.14
$ 0.000
$ 0.96
100,000-999,999
$ 2.99
$ 0.47
$ 0.00
$ 0.16
$ 0.003
$ 3.63
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.03
$ 0.000
$ 2.97
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.04
$ 1.49
$ 0.003
$ 18.80
Rule Alternative A4
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.18
$ 0.000
$ 0.25
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.00
$ 0.15
$
$ 0.49
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.08
$
$ 0.47
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.00
$ 0.09
$
$ 2.21
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.00
$ 0.08
$ 0.000
$ 6.04
10,000-49,999
$ 1.03
$ 0.15
$ 0.00
$ 0.17
$ 0.000
$ 1.36
50,000-99,999
$ 0.72
$ 0.11
$ 0.00
$ 0.05
$ 0.000
$ 0.88
100,000-999,999
$ 2.99
$ 0.47
$ 0.00
$ 0.06
$ 0.003
$ 3.52
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.01
$ 0.000
$ 2.95
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.02
$ 0.87
$ 0.003
$ 18.16
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit Q.10i: State Costs - Present Value, 3% (ICRSSL, High)
Crypto
E.coli
Crypto
Uncovered
E. coli
Monitoring
Monitoring
Monitoring
Finished
Monitoring
Review
Review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.01
$ 0.50
$ 0.000
$ 0.51
100-499
$ 0.01
$
$
$
$
$ 0.01
$ 0.43
$
$ 0.46
500-999
$ 0.02
$
$
$
$
$ 0.01
$ 0.19
$
$ 0.21
1,000-3,299
$ 0.09
$
$
$
$
$ 0.06
$ 2.18
$
$ 2.33
3,300-9,999
$ 0.26
$
$
$
$
$ 0.06
$ 2.01
$ 0.000
$ 2.32
10,000-49,999
$ 1.03
$
$ 0.07
$ 2.61
$ 0.000
$ 3.70
50,000-99,999
$ 0.72
$
$ 0.02
$ 0.76
$ 0.000
$ 1.49
100,000-999,999
$ 2.99
$
$ 0.02
$ 0.92
$ 0.003
$ 3.93
1,000,000+
$ 2.53
$
$ 0.00
$ 0.16
$ 0.000
$ 2.70
Total
$ 7.66
$
$
$
$
$ 0.26
$ 9.75
$ 0.003
$ 17.67
Rule Alternative A2
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.31
$ 0.000
$ 0.38
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.01
$ 0.26
$
$ 0.60
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.12
$
$ 0.51
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.01
$ 0.40
$
$ 2.53
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.01
$ 0.36
$ 0.000
$ 6.32
10,000-49,999
$ 1.03
$ 0.15
$ 0.02
$ 0.78
$ 0.000
$ 1.98
50,000-99,999
$ 0.72
$ 0.11
$ 0.01
$ 0.23
$ 0.000
$ 1.06
100,000-999,999
$ 2.99
$ 0.47
$ 0.01
$ 0.27
$ 0.003
$ 3.74
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.05
$ 0.000
$ 2.98
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.07
$ 2.77
$ 0.003
$ 20.11
Rule Alternative A3
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.24
$ 0.000
$ 0.32
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.01
$ 0.20
$
$ 0.54
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.10
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.00
$ 0.15
$
$ 2.27
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.00
$ 0.13
$ 0.000
$ 6.09
10,000-49,999
$ 1.03
$ 0.15
$ 0.02
$ 0.63
$ 0.000
$ 1.83
50,000-99,999
$ 0.72
$ 0.11
$ 0.00
$ 0.19
$ 0.000
$ 1.01
100,000-999,999
$ 2.99
$ 0.47
$ 0.01
$ 0.22
$ 0.003
$ 3.69
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.04
$ 0.000
$ 2.98
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.05
$ 1.90
$ 0.003
$ 19.22
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.24
$ 0.000
$ 0.32
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.01
$ 0.20
$
$ 0.54
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.10
$
$ 0.49
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.00
$ 0.15
$
$ 2.27
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.00
$ 0.13
$ 0.000
$ 6.09
10,000-49,999
$ 1.03
$ 0.15
$ 0.02
$ 0.64
$ 0.000
$ 1.84
50,000-99,999
$ 0.72
$ 0.11
$ 0.00
$ 0.19
$ 0.000
$ 1.02
100,000-999,999
$ 2.99
$ 0.47
$ 0.01
$ 0.22
$ 0.003
$ 3.69
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.04
$ 0.000
$ 2.98
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.05
$ 1.92
$ 0.003
$ 19.23
Rule Alternative A4
<100
$ 0.00
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.20
$ 0.000
$ 0.27
100-499
$ 0.01
$ 0.12
$ 0.08
$ 0.08
$ 0.04
$ 0.00
$ 0.16
$
$ 0.50
500-999
$ 0.02
$ 0.14
$ 0.09
$ 0.09
$ 0.04
$ 0.00
$ 0.09
$
$ 0.47
1,000-3,299
$ 0.09
$ 0.79
$ 0.48
$ 0.52
$ 0.24
$ 0.00
$ 0.10
$
$ 2.22
3,300-9,999
$ 0.26
$ 2.20
$ 1.35
$ 1.46
$ 0.69
$ 0.00
$ 0.09
$ 0.000
$ 6.04
10,000-49,999
$ 1.03
$ 0.15
$ 0.01
$ 0.24
$ 0.000
$ 1.43
50,000-99,999
$ 0.72
$ 0.11
$ 0.00
$ 0.07
$ 0.000
$ 0.90
100,000-999,999
$ 2.99
$ 0.47
$ 0.00
$ 0.08
$ 0.003
$ 3.55
1,000,000+
$ 2.53
$ 0.40
$ 0.00
$ 0.02
$ 0.000
$ 2.95
Total
$ 7.66
$ 3.28
$ 2.00
$ 2.17
$ 2.16
$ 0.03
$ 1.04
$ 0.003
$ 18.33
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.11a: Implementation and Monitoring - PV, 3% (ICR, Mean)
Size Category
Implementation
Initial E. coli
Monitoring
Initial Crypto
Monitoring
Initial
Monitoring
Reporting
Second
Round E. coli
Monitoring
Second
Round
Crypto
Monitoring
Second
Round
Monitoring
Reporting
Benchmarking
Technology
Reporting
Uncovered
Finished
Water
Reservoir
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.21
$
$
$
$
$
$
$ 0.02
$ 1.90
$ 0.00
$ 2.13
100-499
$ 0.25
$
$
$
$
$
$
$ 0.02
$ 1.78
$
$ 2.05
500-999
$ 0.13
$
$
$
$
$
$
$ 0.01
$ 1.02
$
$ 1.17
1,000-3,299
$ 0.27
$
$
$
$
$
$
$ 0.11
$ 11.70
$
$ 12.08
3,300-9,999
$ 0.25
$
$
$
$
$
$
$ 0.10
$ 10.89
$ 0.00
$ 11.24
10,000-49,999
$ 0.25
$
$
$
$
$
$
$ 0.12
$ 13.76
$ 0.01
$ 14.13
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.03
$ 4.00
$ 0.00
$ 4.09
100,000-999,99<
$ 0.07
$
$
$
$
$
$
$ 0.05
$ 5.48
$ 0.01
$ 5.60
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.95
$ 0.00
$ 0.97
Total
$ 1.51
$
$
$
$
$
$
$ 0.46
$ 51.48
$ 0.02
$ 53.46
Rule Alternative A2
<100
$ 0.21
$ 1.98
$ 15.99
$ 0.16
$ 1.28
$ 10.51
$ 0.10
$ 0.02
$ 1.69
$ 0.00
$ 31.94
100-499
$ 0.25
$ 2.18
$ 17.59
$ 0.19
$ 1.44
$ 11.77
$ 0.13
$ 0.01
$ 1.57
$
$ 35.14
500-999
$ 0.13
$ 0.91
$ 7.30
$ 0.10
$ 0.59
$ 4.80
$ 0.07
$ 0.01
$ 0.91
$
$ 14.82
1,000-3,299
$ 0.27
$ 1.82
$ 14.76
$ 0.20
$ 1.05
$ 8.51
$ 0.12
$ 0.03
$ 3.15
$
$ 29.92
3,300-9,999
$ 0.25
$ 1.67
$ 13.54
$ 0.19
$ 0.97
$ 7.82
$ 0.11
$ 0.03
$ 2.93
$ 0.00
$ 27.50
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.49
$ 7.28
$ 0.10
$ 0.05
$ 5.19
$ 0.01
$ 29.16
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.12
$ 1.80
$ 0.02
$ 0.01
$ 1.51
$ 0.00
$ 7.45
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.11
$ 2.20
$ 0.03
$ 0.02
$ 2.04
$ 0.01
$ 9.13
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.37
$ 0.01
$ 0.00
$ 0.37
$ 0.00
$ 1.60
Total
$ 1.51
$ 10.04
$ 92.62
$ 1.15
$ 6.07
$ 55.06
$ 0.68
$ 0.17
$ 19.35
$ 0.02
$186.66
Rule Alternative A3
<100
$ 0.21
$ 1.98
$ 5.57
$ 0.16
$ 1.33
$ 3.79
$ 0.11
$ 0.01
$ 1.28
$ 0.00
$ 14.44
100-499
$ 0.25
$ 2.18
$ 6.15
$ 0.19
$ 1.50
$ 4.24
$ 0.13
$ 0.01
$ 1.18
$
$ 15.83
500-999
$ 0.13
$ 0.91
$ 2.57
$ 0.10
$ 0.61
$ 1.73
$ 0.07
$ 0.01
$ 0.72
$
$ 6.84
1,000-3,299
$ 0.27
$ 1.82
$ 5.26
$ 0.20
$ 1.22
$ 3.44
$ 0.14
$ 0.01
$ 1.60
$
$ 13.97
3,300-9,999
$ 0.25
$ 1.67
$ 4.83
$ 0.19
$ 1.12
$ 3.16
$ 0.13
$ 0.01
$ 1.48
$ 0.00
$ 12.85
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.52
$ 7.66
$ 0.10
$ 0.04
$ 4.72
$ 0.01
$ 29.10
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.13
$ 1.89
$ 0.02
$ 0.01
$ 1.38
$ 0.00
$ 7.41
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.11
$ 2.31
$ 0.03
$ 0.02
$ 1.84
$ 0.01
$ 9.07
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.39
$ 0.01
$ 0.00
$ 0.33
$ 0.00
$ 1.59
Total
$ 1.51
$ 10.04
$ 47.82
$ 1.15
$ 6.56
$ 28.61
$ 0.74
$ 0.13
$ 14.53
$ 0.02
$111.11
Rule Alternative A3 UV90-10B
<100
$ 0.21
$ 1.98
$ 5.57
$ 0.16
$ 1.33
$ 3.79
$ 0.11
$ 0.01
$ 1.28
$ 0.00
$ 14.44
100-499
$ 0.25
$ 2.18
$ 6.15
$ 0.19
$ 1.50
$ 4.24
$ 0.13
$ 0.01
$ 1.18
$
$ 15.83
500-999
$ 0.13
$ 0.91
$ 2.57
$ 0.10
$ 0.61
$ 1.73
$ 0.07
$ 0.01
$ 0.72
$
$ 6.84
1,000-3,299
$ 0.27
$ 1.82
$ 5.26
$ 0.20
$ 1.22
$ 3.44
$ 0.14
$ 0.01
$ 1.60
$
$ 13.97
3,300-9,999
$ 0.25
$ 1.67
$ 4.83
$ 0.19
$ 1.12
$ 3.16
$ 0.13
$ 0.01
$ 1.49
$ 0.00
$ 12.86
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.51
$ 7.58
$ 0.10
$ 0.04
$ 4.82
$ 0.01
$ 29.11
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.13
$ 1.87
$ 0.02
$ 0.01
$ 1.41
$ 0.00
$ 7.42
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.11
$ 2.29
$ 0.03
$ 0.02
$ 1.88
$ 0.01
$ 9.08
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.39
$ 0.01
$ 0.00
$ 0.34
$ 0.00
$ 1.59
Total
$ 1.51
$ 10.04
$ 47.82
$ 1.15
$ 6.55
$ 28.49
$ 0.74
$ 0.13
$ 14.71
$ 0.02
$111.16
Rule Alternative A4
<100
$ 0.21
$ 1.98
$ 4.85
$ 0.16
$ 1.38
$ 3.41
$ 0.11
$ 0.01
$ 0.88
$ 0.00
$ 12.99
100-499
$ 0.25
$ 2.18
$ 5.36
$ 0.19
$ 1.55
$ 3.82
$ 0.13
$ 0.01
$ 0.79
$
$ 14.28
500-999
$ 0.13
$ 0.91
$ 2.24
$ 0.10
$ 0.63
$ 1.56
$ 0.07
$ 0.00
$ 0.52
$
$ 6.17
1,000-3,299
$ 0.27
$ 1.82
$ 4.61
$ 0.20
$ 1.32
$ 3.26
$ 0.15
$ 0.01
$ 0.64
$
$ 12.28
3,300-9,999
$ 0.25
$ 1.67
$ 4.23
$ 0.19
$ 1.22
$ 2.98
$ 0.14
$ 0.01
$ 0.60
$ 0.00
$ 11.29
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.64
$ 9.53
$ 0.13
$ 0.02
$ 2.34
$ 0.01
$ 28.71
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.16
$ 2.35
$ 0.03
$ 0.01
$ 0.69
$ 0.00
$ 7.21
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.14
$ 2.87
$ 0.04
$ 0.01
$ 0.88
$ 0.01
$ 8.70
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.49
$ 0.01
$ 0.00
$ 0.17
$ 0.00
$ 1.53
Total
$ 1.51
$ 10.04
$ 44.73
$ 1.15
$ 7.06
$ 30.27
$ 0.81
$ 0.07
$ 7.50
$ 0.02
$103.16
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.11b: Implementation and Monitoring - PV, 3% (ICR, Low)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.21
$
$
$
$
$
$
$ 0.02
$ 1.90
$ 0.00
$ 2.14
100-499
$ 0.25
$
$
$
$
$
$
$ 0.02
$ 1.78
$
$ 2.05
500-999
$ 0.13
$
$
$
$
$
$
$ 0.01
$ 1.02
$
$ 1.17
1,000-3,299
$ 0.27
$
$
$
$
$
$
$ 0.11
$ 11.70
$
$ 12.08
3,300-9,999
$ 0.25
$
$
$
$
$
$
$ 0.10
$ 10.95
$ 0.00
$ 11.30
10,000-49,999
$ 0.25
$
$
$
$
$
$
$ 0.12
$ 14.47
$ 0.01
$ 14.85
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.03
$ 4.20
$ 0.00
$ 4.30
100,000-999,99<
$ 0.07
$
$
$
$
$
$
$ 0.05
$ 5.76
$ 0.01
$ 5.89
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 1.00
$ 0.00
$ 1.02
Total
$ 1.51
$
$
$
$
$
$
$ 0.46
$ 52.78
$ 0.02
$ 54.78
Rule Alternative A2
<100
$ 0.21
$ 1.98
$ 15.99
$ 0.16
$ 1.30
$ 10.64
$ 0.11
$ 0.01
$ 1.54
$ 0.00
$ 31.94
100-499
$ 0.25
$ 2.18
$ 17.59
$ 0.19
$ 1.46
$ 11.92
$ 0.13
$ 0.01
$ 1.43
$
$ 35.16
500-999
$ 0.13
$ 0.91
$ 7.30
$ 0.10
$ 0.60
$ 4.86
$ 0.07
$ 0.01
$ 0.85
$
$ 14.82
1,000-3,299
$ 0.27
$ 1.82
$ 14.76
$ 0.20
$ 1.07
$ 8.71
$ 0.12
$ 0.03
$ 2.92
$
$ 29.92
3,300-9,999
$ 0.25
$ 1.67
$ 13.54
$ 0.19
$ 0.99
$ 8.00
$ 0.11
$ 0.03
$ 2.72
$ 0.00
$ 27.50
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.51
$ 7.49
$ 0.10
$ 0.04
$ 4.92
$ 0.01
$ 29.13
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.13
$ 1.85
$ 0.02
$ 0.01
$ 1.44
$ 0.00
$ 7.43
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.11
$ 2.26
$ 0.03
$ 0.02
$ 1.93
$ 0.01
$ 9.10
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.39
$ 0.01
$ 0.00
$ 0.35
$ 0.00
$ 1.59
Total
$ 1.51
$ 10.04
$ 92.62
$ 1.15
$ 6.19
$ 56.12
$ 0.70
$ 0.16
$ 18.10
$ 0.02
$186.60
Rule Alternative A3
<100
$ 0.21
$ 1.98
$ 5.18
$ 0.16
$ 1.34
$ 3.56
$ 0.11
$ 0.01
$ 1.17
$ 0.00
$ 13.72
100-499
$ 0.25
$ 2.18
$ 5.72
$ 0.19
$ 1.51
$ 3.98
$ 0.13
$ 0.01
$ 1.07
$
$ 15.05
500-999
$ 0.13
$ 0.91
$ 2.39
$ 0.10
$ 0.62
$ 1.62
$ 0.07
$ 0.01
$ 0.66
$
$ 6.51
1,000-3,299
$ 0.27
$ 1.82
$ 4.91
$ 0.20
$ 1.24
$ 3.26
$ 0.14
$ 0.01
$ 1.38
$
$ 13.24
3,300-9,999
$ 0.25
$ 1.67
$ 4.50
$ 0.19
$ 1.14
$ 3.00
$ 0.13
$ 0.01
$ 1.28
$ 0.00
$ 12.18
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.54
$ 7.91
$ 0.10
$ 0.04
$ 4.40
$ 0.01
$ 29.04
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.13
$ 1.95
$ 0.03
$ 0.01
$ 1.29
$ 0.00
$ 7.39
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.12
$ 2.39
$ 0.04
$ 0.01
$ 1.71
$ 0.01
$ 9.02
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.41
$ 0.01
$ 0.00
$ 0.31
$ 0.00
$ 1.58
Total
$ 1.51
$ 10.04
$ 46.14
$ 1.15
$ 6.66
$ 28.08
$ 0.75
$ 0.12
$ 13.27
$ 0.02
$107.74
Rule Alternative A3 UV90-10B
<100
$ 0.21
$ 1.98
$ 5.18
$ 0.16
$ 1.34
$ 3.56
$ 0.11
$ 0.01
$ 1.17
$ 0.00
$ 13.72
100-499
$ 0.25
$ 2.18
$ 5.72
$ 0.19
$ 1.51
$ 3.98
$ 0.13
$ 0.01
$ 1.07
$
$ 15.05
500-999
$ 0.13
$ 0.91
$ 2.39
$ 0.10
$ 0.62
$ 1.62
$ 0.07
$ 0.01
$ 0.66
$
$ 6.51
1,000-3,299
$ 0.27
$ 1.82
$ 4.91
$ 0.20
$ 1.24
$ 3.26
$ 0.14
$ 0.01
$ 1.38
$
$ 13.24
3,300-9,999
$ 0.25
$ 1.67
$ 4.50
$ 0.19
$ 1.14
$ 2.99
$ 0.13
$ 0.01
$ 1.29
$ 0.00
$ 12.18
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.53
$ 7.84
$ 0.10
$ 0.04
$ 4.48
$ 0.01
$ 29.06
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.13
$ 1.94
$ 0.03
$ 0.01
$ 1.31
$ 0.00
$ 7.39
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.12
$ 2.37
$ 0.04
$ 0.01
$ 1.74
$ 0.01
$ 9.03
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.40
$ 0.01
$ 0.00
$ 0.32
$ 0.00
$ 1.58
Total
$ 1.51
$ 10.04
$ 46.14
$ 1.15
$ 6.65
$ 27.97
$ 0.75
$ 0.12
$ 13.42
$ 0.02
$107.78
Rule Alternative A4
<100
$ 0.21
$ 1.98
$ 4.49
$ 0.16
$ 1.40
$ 3.20
$ 0.11
$ 0.01
$ 0.67
$ 0.00
$ 12.23
100-499
$ 0.25
$ 2.18
$ 4.96
$ 0.19
$ 1.56
$ 3.56
$ 0.14
$ 0.01
$ 0.67
$
$ 13.52
500-999
$ 0.13
$ 0.91
$ 2.07
$ 0.10
$ 0.64
$ 1.45
$ 0.07
$ 0.00
$ 0.49
$
$ 5.86
1,000-3,299
$ 0.27
$ 1.82
$ 4.27
$ 0.20
$ 1.33
$ 3.02
$ 0.15
$ 0.01
$ 0.60
$
$ 11.68
3,300-9,999
$ 0.25
$ 1.67
$ 3.92
$ 0.19
$ 1.22
$ 2.77
$ 0.14
$ 0.01
$ 0.57
$ 0.00
$ 10.74
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.66
$ 9.72
$ 0.13
$ 0.02
$ 2.08
$ 0.01
$ 28.67
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.16
$ 2.40
$ 0.03
$ 0.01
$ 0.62
$ 0.00
$ 7.19
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.14
$ 2.93
$ 0.04
$ 0.01
$ 0.79
$ 0.01
$ 8.66
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.50
$ 0.01
$ 0.00
$ 0.15
$ 0.00
$ 1.52
Total
$ 1.51
$ 10.04
$ 43.16
$ 1.15
$ 7.13
$ 29.54
$ 0.82
$ 0.06
$ 6.64
$ 0.02
$100.07
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.11c: Implementation and Monitoring - PV, 3% (ICR, High)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.21
$
$
$
$
$
$
$ 0.02
$ 1.90
$ 0.00
$ 2.14
100-499
$ 0.25
$
$
$
$
$
$
$ 0.02
$ 1.78
$
$ 2.05
500-999
$ 0.13
$
$
$
$
$
$
$ 0.01
$ 1.02
$
$ 1.17
1,000-3,299
$ 0.27
$
$
$
$
$
$
$ 0.11
$ 11.70
$
$ 12.08
3,300-9,999
$ 0.25
$
$
$
$
$
$
$ 0.10
$ 10.95
$ 0.00
$ 11.30
10,000-49,999
$ 0.25
$
$
$
$
$
$
$ 0.12
$ 14.47
$ 0.01
$ 14.85
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.03
$ 4.20
$ 0.00
$ 4.30
100,000-999,99<
$ 0.07
$
$
$
$
$
$
$ 0.05
$ 5.76
$ 0.01
$ 5.89
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 1.00
$ 0.00
$ 1.02
Total
$ 1.51
$
$
$
$
$
$
$ 0.46
$ 52.78
$ 0.02
$ 54.78
Rule Alternative A2
<100
$ 0.21
$ 1.98
$ 15.99
$ 0.16
$ 1.26
$ 10.36
$ 0.10
$ 0.02
$ 1.85
$ 0.00
$ 31.93
100-499
$ 0.25
$ 2.18
$ 17.59
$ 0.19
$ 1.42
$ 11.61
$ 0.12
$ 0.02
$ 1.72
$
$ 35.11
500-999
$ 0.13
$ 0.91
$ 7.30
$ 0.10
$ 0.58
$ 4.73
$ 0.07
$ 0.01
$ 0.99
$
$ 14.82
1,000-3,299
$ 0.27
$ 1.82
$ 14.76
$ 0.20
$ 1.01
$ 8.18
$ 0.11
$ 0.03
$ 3.52
$
$ 29.92
3,300-9,999
$ 0.25
$ 1.67
$ 13.54
$ 0.19
$ 0.93
$ 7.52
$ 0.11
$ 0.03
$ 3.27
$ 0.00
$ 27.51
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.46
$ 6.78
$ 0.09
$ 0.05
$ 5.83
$ 0.01
$ 29.27
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.11
$ 1.68
$ 0.02
$ 0.01
$ 1.70
$ 0.00
$ 7.51
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.10
$ 2.05
$ 0.03
$ 0.02
$ 2.29
$ 0.01
$ 9.24
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.35
$ 0.01
$ 0.00
$ 0.41
$ 0.00
$ 1.62
Total
$ 1.51
$ 10.04
$ 92.62
$ 1.15
$ 5.90
$ 53.25
$ 0.66
$ 0.19
$ 21.59
$ 0.02
$186.92
Rule Alternative A3
<100
$ 0.21
$ 1.98
$ 6.23
$ 0.16
$ 1.32
$ 4.20
$ 0.11
$ 0.01
$ 1.38
$ 0.00
$ 15.61
100-499
$ 0.25
$ 2.18
$ 6.88
$ 0.19
$ 1.48
$ 4.71
$ 0.13
$ 0.01
$ 1.27
$
$ 17.11
500-999
$ 0.13
$ 0.91
$ 2.87
$ 0.10
$ 0.61
$ 1.92
$ 0.07
$ 0.01
$ 0.77
$
$ 7.38
1,000-3,299
$ 0.27
$ 1.82
$ 5.87
$ 0.20
$ 1.20
$ 3.80
$ 0.14
$ 0.02
$ 1.75
$
$ 15.07
3,300-9,999
$ 0.25
$ 1.67
$ 5.38
$ 0.19
$ 1.11
$ 3.49
$ 0.13
$ 0.02
$ 1.62
$ 0.00
$ 13.86
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.49
$ 7.25
$ 0.10
$ 0.05
$ 5.24
$ 0.01
$ 29.18
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.12
$ 1.79
$ 0.02
$ 0.01
$ 1.53
$ 0.00
$ 7.46
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.11
$ 2.19
$ 0.03
$ 0.02
$ 2.04
$ 0.01
$ 9.15
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.37
$ 0.01
$ 0.00
$ 0.37
$ 0.00
$ 1.60
Total
$ 1.51
$ 10.04
$ 50.67
$ 1.15
$ 6.45
$ 29.72
$ 0.72
$ 0.14
$ 15.99
$ 0.02
$116.41
Rule Alternative A3 UV90-10B
<100
$ 0.21
$ 1.98
$ 6.23
$ 0.16
$ 1.32
$ 4.20
$ 0.11
$ 0.01
$ 1.38
$ 0.00
$ 15.61
100-499
$ 0.25
$ 2.18
$ 6.88
$ 0.19
$ 1.48
$ 4.71
$ 0.13
$ 0.01
$ 1.27
$
$ 17.11
500-999
$ 0.13
$ 0.91
$ 2.87
$ 0.10
$ 0.61
$ 1.92
$ 0.07
$ 0.01
$ 0.77
$
$ 7.38
1,000-3,299
$ 0.27
$ 1.82
$ 5.87
$ 0.20
$ 1.20
$ 3.80
$ 0.14
$ 0.02
$ 1.75
$
$ 15.07
3,300-9,999
$ 0.25
$ 1.67
$ 5.38
$ 0.19
$ 1.11
$ 3.48
$ 0.13
$ 0.02
$ 1.64
$ 0.00
$ 13.86
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.48
$ 7.16
$ 0.09
$ 0.05
$ 5.35
$ 0.01
$ 29.20
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.12
$ 1.77
$ 0.02
$ 0.01
$ 1.56
$ 0.00
$ 7.47
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.11
$ 2.17
$ 0.03
$ 0.02
$ 2.08
$ 0.01
$ 9.17
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.37
$ 0.01
$ 0.00
$ 0.37
$ 0.00
$ 1.60
Total
$ 1.51
$ 10.04
$ 50.67
$ 1.15
$ 6.44
$ 29.58
$ 0.72
$ 0.14
$ 16.19
$ 0.02
$116.46
Rule Alternative A4
<100
$ 0.21
$ 1.98
$ 5.43
$ 0.16
$ 1.39
$ 3.87
$ 0.11
$ 0.01
$ 0.68
$ 0.00
$ 13.85
100-499
$ 0.25
$ 2.18
$ 6.00
$ 0.19
$ 1.56
$ 4.30
$ 0.14
$ 0.01
$ 0.70
$
$ 15.33
500-999
$ 0.13
$ 0.91
$ 2.50
$ 0.10
$ 0.63
$ 1.74
$ 0.07
$ 0.00
$ 0.51
$
$ 6.61
1,000-3,299
$ 0.27
$ 1.82
$ 5.13
$ 0.20
$ 1.32
$ 3.64
$ 0.15
$ 0.01
$ 0.66
$
$ 13.20
3,300-9,999
$ 0.25
$ 1.67
$ 4.71
$ 0.19
$ 1.21
$ 3.33
$ 0.14
$ 0.01
$ 0.62
$ 0.00
$ 12.14
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.63
$ 9.35
$ 0.12
$ 0.02
$ 2.56
$ 0.01
$ 28.75
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.16
$ 2.30
$ 0.03
$ 0.01
$ 0.76
$ 0.00
$ 7.23
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.14
$ 2.82
$ 0.04
$ 0.01
$ 0.98
$ 0.01
$ 8.73
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.48
$ 0.01
$ 0.00
$ 0.18
$ 0.00
$ 1.53
Total
$ 1.51
$ 10.04
$ 47.22
$ 1.15
$ 7.07
$ 31.83
$ 0.81
$ 0.07
$ 7.66
$ 0.02
$107.38
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.11d: Implementation and Monitoring - PV, 3% (ICRSSM, Mean)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.21
$
$
$
$
$
$
$ 0.02
$ 1.90
$ 0.00
$ 2.14
100-499
$ 0.25
$
$
$
$
$
$
$ 0.02
$ 1.78
$
$ 2.05
500-999
$ 0.13
$
$
$
$
$
$
$ 0.01
$ 1.02
$
$ 1.17
1,000-3,299
$ 0.27
$
$
$
$
$
$
$ 0.11
$ 11.70
$
$ 12.08
3,300-9,999
$ 0.25
$
$
$
$
$
$
$ 0.10
$ 10.95
$ 0.00
$ 11.30
10,000-49,999
$ 0.25
$
$
$
$
$
$
$ 0.12
$ 14.47
$ 0.01
$ 14.85
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.03
$ 4.20
$ 0.00
$ 4.30
100,000-999,99<
$ 0.07
$
$
$
$
$
$
$ 0.05
$ 5.76
$ 0.01
$ 5.89
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 1.00
$ 0.00
$ 1.02
Total
$ 1.51
$
$
$
$
$
$
$ 0.46
$ 52.78
$ 0.02
$ 54.78
Rule Alternative A2
<100
$ 0.21
$ 1.98
$ 15.99
$ 0.16
$ 1.34
$ 10.96
$ 0.11
$ 0.01
$ 1.20
$ 0.00
$ 31.96
100-499
$ 0.25
$ 2.18
$ 17.59
$ 0.19
$ 1.51
$ 12.27
$ 0.13
$ 0.01
$ 1.10
$
$ 35.23
500-999
$ 0.13
$ 0.91
$ 7.30
$ 0.10
$ 0.62
$ 5.00
$ 0.07
$ 0.01
$ 0.68
$
$ 14.82
1,000-3,299
$ 0.27
$ 1.82
$ 14.76
$ 0.20
$ 1.14
$ 9.27
$ 0.13
$ 0.02
$ 2.29
$
$ 29.92
3,300-9,999
$ 0.25
$ 1.67
$ 13.54
$ 0.19
$ 1.05
$ 8.51
$ 0.12
$ 0.02
$ 2.13
$ 0.00
$ 27.49
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.54
$ 7.92
$ 0.10
$ 0.04
$ 4.38
$ 0.01
$ 29.04
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.13
$ 1.96
$ 0.03
$ 0.01
$ 1.28
$ 0.00
$ 7.39
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.12
$ 2.39
$ 0.04
$ 0.01
$ 1.70
$ 0.01
$ 9.02
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.41
$ 0.01
$ 0.00
$ 0.31
$ 0.00
$ 1.58
Total
$ 1.51
$ 10.04
$ 92.62
$ 1.15
$ 6.46
$ 58.69
$ 0.73
$ 0.13
$ 15.09
$ 0.02
$186.44
Rule Alternative A3
<100
$ 0.21
$ 1.98
$ 4.36
$ 0.16
$ 1.36
$ 3.04
$ 0.11
$ 0.01
$ 0.98
$ 0.00
$ 12.21
100-499
$ 0.25
$ 2.18
$ 4.82
$ 0.19
$ 1.53
$ 3.40
$ 0.13
$ 0.01
$ 0.88
$
$ 13.40
500-999
$ 0.13
$ 0.91
$ 2.01
$ 0.10
$ 0.63
$ 1.39
$ 0.07
$ 0.01
$ 0.57
$
$ 5.82
1,000-3,299
$ 0.27
$ 1.82
$ 4.15
$ 0.20
$ 1.30
$ 2.86
$ 0.15
$ 0.01
$ 0.90
$
$ 11.66
3,300-9,999
$ 0.25
$ 1.67
$ 3.81
$ 0.19
$ 1.19
$ 2.62
$ 0.14
$ 0.01
$ 0.83
$ 0.00
$ 10.72
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.57
$ 8.45
$ 0.11
$ 0.03
$ 3.71
$ 0.01
$ 28.94
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.14
$ 2.08
$ 0.03
$ 0.01
$ 1.09
$ 0.00
$ 7.33
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.12
$ 2.55
$ 0.04
$ 0.01
$ 1.44
$ 0.01
$ 8.92
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.43
$ 0.01
$ 0.00
$ 0.26
$ 0.00
$ 1.56
Total
$ 1.51
$ 10.04
$ 42.60
$ 1.15
$ 6.87
$ 26.82
$ 0.78
$ 0.09
$ 10.66
$ 0.02
$100.55
Rule Alternative A3 UV90-10B
<100
$ 0.21
$ 1.98
$ 4.36
$ 0.16
$ 1.36
$ 3.04
$ 0.11
$ 0.01
$ 0.98
$ 0.00
$ 12.21
100-499
$ 0.25
$ 2.18
$ 4.82
$ 0.19
$ 1.53
$ 3.40
$ 0.13
$ 0.01
$ 0.88
$
$ 13.40
500-999
$ 0.13
$ 0.91
$ 2.01
$ 0.10
$ 0.63
$ 1.39
$ 0.07
$ 0.01
$ 0.57
$
$ 5.82
1,000-3,299
$ 0.27
$ 1.82
$ 4.15
$ 0.20
$ 1.30
$ 2.86
$ 0.15
$ 0.01
$ 0.90
$
$ 11.66
3,300-9,999
$ 0.25
$ 1.67
$ 3.81
$ 0.19
$ 1.19
$ 2.62
$ 0.14
$ 0.01
$ 0.84
$ 0.00
$ 10.72
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.57
$ 8.40
$ 0.11
$ 0.03
$ 3.77
$ 0.01
$ 28.95
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.14
$ 2.07
$ 0.03
$ 0.01
$ 1.10
$ 0.00
$ 7.34
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.12
$ 2.54
$ 0.04
$ 0.01
$ 1.46
$ 0.01
$ 8.92
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.43
$ 0.01
$ 0.00
$ 0.27
$ 0.00
$ 1.56
Total
$ 1.51
$ 10.04
$ 42.60
$ 1.15
$ 6.87
$ 26.75
$ 0.78
$ 0.09
$ 10.77
$ 0.02
$100.59
Rule Alternative A4
<100
$ 0.21
$ 1.98
$ 3.45
$ 0.16
$ 1.39
$ 2.44
$ 0.11
$ 0.01
$ 0.78
$ 0.00
$ 10.53
100-499
$ 0.25
$ 2.18
$ 3.82
$ 0.19
$ 1.56
$ 2.73
$ 0.14
$ 0.01
$ 0.69
$
$ 11.57
500-999
$ 0.13
$ 0.91
$ 1.60
$ 0.10
$ 0.64
$ 1.11
$ 0.07
$ 0.00
$ 0.47
$
$ 5.04
1,000-3,299
$ 0.27
$ 1.82
$ 3.32
$ 0.20
$ 1.33
$ 2.33
$ 0.15
$ 0.01
$ 0.55
$
$ 9.99
3,300-9,999
$ 0.25
$ 1.67
$ 3.05
$ 0.19
$ 1.23
$ 2.13
$ 0.14
$ 0.00
$ 0.52
$ 0.00
$ 9.19
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.69
$ 10.18
$ 0.13
$ 0.01
$ 1.49
$ 0.01
$ 28.57
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.17
$ 2.51
$ 0.03
$ 0.00
$ 0.44
$ 0.00
$ 7.14
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.15
$ 3.06
$ 0.05
$ 0.00
$ 0.56
$ 0.01
$ 8.57
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.03
$ 0.52
$ 0.01
$ 0.00
$ 0.11
$ 0.00
$ 1.50
Total
$ 1.51
$ 10.04
$ 38.69
$ 1.15
$ 7.18
$ 27.03
$ 0.83
$ 0.05
$ 5.62
$ 0.02
$ 92.11
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.11e: Implementation and Monitoring - PV, 3% (ICRSSM, Low)
Size Category
Implementation
Initial E. coli
Monitoring
Initial Crypto
Monitoring
Initial
Monitoring
Reporting
Second
Round E. coli
Monitoring
Second
Round
Crypto
Monitoring
Second
Round
Monitoring
Reporting
Benchmarking
Technology
Reporting
Uncovered
Finished
Water
Reservoir
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.21
$
$
$
$
$
$
$ 0.02
$ 1.90
$ 0.00
$ 2.14
100-499
$ 0.25
$
$
$
$
$
$
$ 0.02
$ 1.78
$
$ 2.05
500-999
$ 0.13
$
$
$
$
$
$
$ 0.01
$ 1.02
$
$ 1.17
1,000-3,299
$ 0.27
$
$
$
$
$
$
$ 0.11
$ 11.70
$
$ 12.08
3,300-9,999
$ 0.25
$
$
$
$
$
$
$ 0.10
$ 10.95
$ 0.00
$ 11.30
10,000-49,999
$ 0.25
$
$
$
$
$
$
$ 0.12
$ 14.47
$ 0.01
$ 14.85
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.03
$ 4.20
$ 0.00
$ 4.30
100,000-999,99<
$ 0.07
$
$
$
$
$
$
$ 0.05
$ 5.76
$ 0.01
$ 5.89
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 1.00
$ 0.00
$ 1.02
Total
$ 1.51
$
$
$
$
$
$
$ 0.46
$ 52.78
$ 0.02
$ 54.78
Rule Alternative A2
<100
$ 0.21
$ 1.98
$ 15.99
$ 0.16
$ 1.35
$ 11.04
$ 0.11
$ 0.01
$ 1.12
$ 0.00
$ 31.97
100-499
$ 0.25
$ 2.18
$ 17.59
$ 0.19
$ 1.52
$ 12.36
$ 0.13
$ 0.01
$ 1.02
$
$ 35.24
500-999
$ 0.13
$ 0.91
$ 7.30
$ 0.10
$ 0.62
$ 5.04
$ 0.07
$ 0.01
$ 0.64
$
$ 14.82
1,000-3,299
$ 0.27
$ 1.82
$ 14.76
$ 0.20
$ 1.17
$ 9.49
$ 0.13
$ 0.02
$ 2.05
$
$ 29.92
3,300-9,999
$ 0.25
$ 1.67
$ 13.54
$ 0.19
$ 1.08
$ 8.71
$ 0.12
$ 0.02
$ 1.91
$ 0.00
$ 27.48
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.56
$ 8.27
$ 0.11
$ 0.03
$ 3.93
$ 0.01
$ 28.97
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.14
$ 2.04
$ 0.03
$ 0.01
$ 1.15
$ 0.00
$ 7.35
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.12
$ 2.50
$ 0.04
$ 0.01
$ 1.53
$ 0.01
$ 8.95
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.43
$ 0.01
$ 0.00
$ 0.28
$ 0.00
$ 1.57
Total
$ 1.51
$ 10.04
$ 92.62
$ 1.15
$ 6.57
$ 59.87
$ 0.75
$ 0.12
$ 13.62
$ 0.02
$186.27
Rule Alternative A3
<100
$ 0.21
$ 1.98
$ 3.85
$ 0.16
$ 1.37
$ 2.69
$ 0.11
$ 0.01
$ 0.92
$ 0.00
$ 11.30
100-499
$ 0.25
$ 2.18
$ 4.26
$ 0.19
$ 1.54
$ 3.01
$ 0.13
$ 0.01
$ 0.83
$
$ 12.40
500-999
$ 0.13
$ 0.91
$ 1.78
$ 0.10
$ 0.63
$ 1.23
$ 0.07
$ 0.00
$ 0.54
$
$ 5.40
1,000-3,299
$ 0.27
$ 1.82
$ 3.69
$ 0.20
$ 1.31
$ 2.55
$ 0.15
$ 0.01
$ 0.79
$
$ 10.78
3,300-9,999
$ 0.25
$ 1.67
$ 3.38
$ 0.19
$ 1.20
$ 2.34
$ 0.14
$ 0.01
$ 0.73
$ 0.00
$ 9.91
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.59
$ 8.76
$ 0.12
$ 0.03
$ 3.31
$ 0.01
$ 28.87
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.15
$ 2.16
$ 0.03
$ 0.01
$ 0.97
$ 0.00
$ 7.30
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.13
$ 2.64
$ 0.04
$ 0.01
$ 1.28
$ 0.01
$ 8.85
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.45
$ 0.01
$ 0.00
$ 0.24
$ 0.00
$ 1.55
Total
$ 1.51
$ 10.04
$ 40.40
$ 1.15
$ 6.95
$ 25.83
$ 0.79
$ 0.08
$ 9.61
$ 0.02
$ 96.37
Rule Alternative A3 UV90-10B
<100
$ 0.21
$ 1.98
$ 3.85
$ 0.16
$ 1.37
$ 2.69
$ 0.11
$ 0.01
$ 0.92
$ 0.00
$ 11.30
100-499
$ 0.25
$ 2.18
$ 4.26
$ 0.19
$ 1.54
$ 3.01
$ 0.13
$ 0.01
$ 0.83
$
$ 12.40
500-999
$ 0.13
$ 0.91
$ 1.78
$ 0.10
$ 0.63
$ 1.23
$ 0.07
$ 0.00
$ 0.54
$
$ 5.40
1,000-3,299
$ 0.27
$ 1.82
$ 3.69
$ 0.20
$ 1.31
$ 2.55
$ 0.15
$ 0.01
$ 0.79
$
$ 10.78
3,300-9,999
$ 0.25
$ 1.67
$ 3.38
$ 0.19
$ 1.20
$ 2.33
$ 0.14
$ 0.01
$ 0.74
$ 0.00
$ 9.92
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.59
$ 8.72
$ 0.12
$ 0.03
$ 3.36
$ 0.01
$ 28.88
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.15
$ 2.15
$ 0.03
$ 0.01
$ 0.99
$ 0.00
$ 7.30
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.13
$ 2.63
$ 0.04
$ 0.01
$ 1.30
$ 0.01
$ 8.86
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.45
$ 0.01
$ 0.00
$ 0.24
$ 0.00
$ 1.55
Total
$ 1.51
$ 10.04
$ 40.40
$ 1.15
$ 6.94
$ 25.77
$ 0.79
$ 0.08
$ 9.70
$ 0.02
$ 96.40
Rule Alternative A4
<100
$ 0.21
$ 1.98
$ 3.03
$ 0.16
$ 1.39
$ 2.15
$ 0.11
$ 0.01
$ 0.76
$ 0.00
$ 9.79
100-499
$ 0.25
$ 2.18
$ 3.36
$ 0.19
$ 1.56
$ 2.40
$ 0.14
$ 0.01
$ 0.67
$
$ 10.76
500-999
$ 0.13
$ 0.91
$ 1.41
$ 0.10
$ 0.64
$ 0.98
$ 0.07
$ 0.00
$ 0.46
$
$ 4.71
1,000-3,299
$ 0.27
$ 1.82
$ 2.94
$ 0.20
$ 1.34
$ 2.05
$ 0.15
$ 0.00
$ 0.53
$
$ 9.31
3,300-9,999
$ 0.25
$ 1.67
$ 2.70
$ 0.19
$ 1.23
$ 1.88
$ 0.14
$ 0.00
$ 0.50
$ 0.00
$ 8.57
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.70
$ 10.32
$ 0.14
$ 0.01
$ 1.32
$ 0.01
$ 28.54
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.17
$ 2.55
$ 0.03
$ 0.00
$ 0.39
$ 0.00
$ 7.13
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.15
$ 3.10
$ 0.05
$ 0.00
$ 0.49
$ 0.01
$ 8.54
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.03
$ 0.53
$ 0.01
$ 0.00
$ 0.10
$ 0.00
$ 1.50
Total
$ 1.51
$ 10.04
$ 36.89
$ 1.15
$ 7.20
$ 25.95
$ 0.83
$ 0.05
$ 5.22
$ 0.02
$ 88.86
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.11f: Implementation and Monitoring - PV, 3% (ICRSSM, High)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.21
$
$
$
$
$
$
$ 0.02
$ 1.90
$ 0.00
$ 2.14
100-499
$ 0.25
$
$
$
$
$
$
$ 0.02
$ 1.78
$
$ 2.05
500-999
$ 0.13
$
$
$
$
$
$
$ 0.01
$ 1.02
$
$ 1.17
1,000-3,299
$ 0.27
$
$
$
$
$
$
$ 0.11
$ 11.70
$
$ 12.08
3,300-9,999
$ 0.25
$
$
$
$
$
$
$ 0.10
$ 10.95
$ 0.00
$ 11.30
10,000-49,999
$ 0.25
$
$
$
$
$
$
$ 0.12
$ 14.47
$ 0.01
$ 14.85
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.03
$ 4.20
$ 0.00
$ 4.30
100,000-999,99<
$ 0.07
$
$
$
$
$
$
$ 0.05
$ 5.76
$ 0.01
$ 5.89
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 1.00
$ 0.00
$ 1.02
Total
$ 1.51
$
$
$
$
$
$
$ 0.46
$ 52.78
$ 0.02
$ 54.78
Rule Alternative A2
<100
$ 0.21
$ 1.98
$ 15.99
$ 0.16
$ 1.33
$ 10.86
$ 0.11
$ 0.01
$ 1.31
$ 0.00
$ 31.96
100-499
$ 0.25
$ 2.18
$ 17.59
$ 0.19
$ 1.49
$ 12.16
$ 0.13
$ 0.01
$ 1.21
$
$ 35.21
500-999
$ 0.13
$ 0.91
$ 7.30
$ 0.10
$ 0.61
$ 4.96
$ 0.07
$ 0.01
$ 0.73
$
$ 14.82
1,000-3,299
$ 0.27
$ 1.82
$ 14.76
$ 0.20
$ 1.12
$ 9.07
$ 0.13
$ 0.02
$ 2.52
$
$ 29.92
3,300-9,999
$ 0.25
$ 1.67
$ 13.54
$ 0.19
$ 1.03
$ 8.33
$ 0.12
$ 0.02
$ 2.34
$ 0.00
$ 27.49
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.52
$ 7.61
$ 0.10
$ 0.04
$ 4.78
$ 0.01
$ 29.11
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.13
$ 1.88
$ 0.02
$ 0.01
$ 1.40
$ 0.00
$ 7.42
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.11
$ 2.30
$ 0.03
$ 0.02
$ 1.86
$ 0.01
$ 9.08
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.39
$ 0.01
$ 0.00
$ 0.34
$ 0.00
$ 1.59
Total
$ 1.51
$ 10.04
$ 92.62
$ 1.15
$ 6.35
$ 57.56
$ 0.71
$ 0.15
$ 16.48
$ 0.02
$186.59
Rule Alternative A3
<100
$ 0.21
$ 1.98
$ 4.79
$ 0.16
$ 1.36
$ 3.33
$ 0.11
$ 0.01
$ 1.02
$ 0.00
$ 12.98
100-499
$ 0.25
$ 2.18
$ 5.30
$ 0.19
$ 1.53
$ 3.73
$ 0.13
$ 0.01
$ 0.93
$
$ 14.25
500-999
$ 0.13
$ 0.91
$ 2.21
$ 0.10
$ 0.63
$ 1.52
$ 0.07
$ 0.01
$ 0.59
$
$ 6.17
1,000-3,299
$ 0.27
$ 1.82
$ 4.55
$ 0.20
$ 1.29
$ 3.12
$ 0.14
$ 0.01
$ 1.00
$
$ 12.40
3,300-9,999
$ 0.25
$ 1.67
$ 4.18
$ 0.19
$ 1.18
$ 2.86
$ 0.13
$ 0.01
$ 0.92
$ 0.00
$ 11.40
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.55
$ 8.18
$ 0.11
$ 0.04
$ 4.06
$ 0.01
$ 28.99
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.14
$ 2.02
$ 0.03
$ 0.01
$ 1.19
$ 0.00
$ 7.36
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.12
$ 2.47
$ 0.04
$ 0.01
$ 1.57
$ 0.01
$ 8.97
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.42
$ 0.01
$ 0.00
$ 0.29
$ 0.00
$ 1.57
Total
$ 1.51
$ 10.04
$ 44.47
$ 1.15
$ 6.81
$ 27.65
$ 0.77
$ 0.10
$ 11.56
$ 0.02
$104.08
Rule Alternative A3 UV90-10B
<100
$ 0.21
$ 1.98
$ 4.79
$ 0.16
$ 1.36
$ 3.33
$ 0.11
$ 0.01
$ 1.02
$ 0.00
$ 12.98
100-499
$ 0.25
$ 2.18
$ 5.30
$ 0.19
$ 1.53
$ 3.73
$ 0.13
$ 0.01
$ 0.93
$
$ 14.25
500-999
$ 0.13
$ 0.91
$ 2.21
$ 0.10
$ 0.63
$ 1.52
$ 0.07
$ 0.01
$ 0.59
$
$ 6.17
1,000-3,299
$ 0.27
$ 1.82
$ 4.55
$ 0.20
$ 1.29
$ 3.12
$ 0.14
$ 0.01
$ 1.00
$
$ 12.40
3,300-9,999
$ 0.25
$ 1.67
$ 4.18
$ 0.19
$ 1.18
$ 2.86
$ 0.13
$ 0.01
$ 0.93
$ 0.00
$ 11.41
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.55
$ 8.13
$ 0.11
$ 0.04
$ 4.12
$ 0.01
$ 29.00
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.14
$ 2.01
$ 0.03
$ 0.01
$ 1.21
$ 0.00
$ 7.36
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.12
$ 2.46
$ 0.04
$ 0.01
$ 1.60
$ 0.01
$ 8.98
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.42
$ 0.01
$ 0.00
$ 0.29
$ 0.00
$ 1.57
Total
$ 1.51
$ 10.04
$ 44.47
$ 1.15
$ 6.81
$ 27.57
$ 0.77
$ 0.10
$ 11.69
$ 0.02
$104.12
Rule Alternative A4
<100
$ 0.21
$ 1.98
$ 3.83
$ 0.16
$ 1.38
$ 2.71
$ 0.11
$ 0.01
$ 0.80
$ 0.00
$ 11.20
100-499
$ 0.25
$ 2.18
$ 4.24
$ 0.19
$ 1.56
$ 3.03
$ 0.14
$ 0.01
$ 0.71
$
$ 12.31
500-999
$ 0.13
$ 0.91
$ 1.77
$ 0.10
$ 0.64
$ 1.24
$ 0.07
$ 0.00
$ 0.48
$
$ 5.35
1,000-3,299
$ 0.27
$ 1.82
$ 3.67
$ 0.20
$ 1.33
$ 2.58
$ 0.15
$ 0.01
$ 0.57
$
$ 10.61
3,300-9,999
$ 0.25
$ 1.67
$ 3.37
$ 0.19
$ 1.22
$ 2.37
$ 0.14
$ 0.00
$ 0.54
$ 0.00
$ 9.76
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.68
$ 10.06
$ 0.13
$ 0.01
$ 1.65
$ 0.01
$ 28.60
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.17
$ 2.48
$ 0.03
$ 0.00
$ 0.49
$ 0.00
$ 7.16
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.15
$ 3.03
$ 0.05
$ 0.01
$ 0.62
$ 0.01
$ 8.59
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.03
$ 0.52
$ 0.01
$ 0.00
$ 0.12
$ 0.00
$ 1.51
Total
$ 1.51
$ 10.04
$ 40.33
$ 1.15
$ 7.16
$ 28.01
$ 0.83
$ 0.05
$ 5.99
$ 0.02
$ 95.09
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.11g: Implementation and Monitoring - PV, 3% (ICRSSL, Mean)
Size Category
Implementation
Initial E. coli
Monitoring
Initial Crypto
Monitoring
Initial
Monitoring
Reporting
Second
Round E. coli
Monitoring
Second
Round
Crypto
Monitoring
Second
Round
Monitoring
Reporting
Benchmarking
Technology
Reporting
Uncovered
Finished
Water
Reservoir
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.21
$
$
$
$
$
$
$ 0.02
$ 1.90
$ 0.00
$ 2.14
100-499
$ 0.25
$
$
$
$
$
$
$ 0.02
$ 1.78
$
$ 2.05
500-999
$ 0.13
$
$
$
$
$
$
$ 0.01
$ 1.02
$
$ 1.17
1,000-3,299
$ 0.27
$
$
$
$
$
$
$ 0.11
$ 11.70
$
$ 12.08
3,300-9,999
$ 0.25
$
$
$
$
$
$
$ 0.10
$ 10.95
$ 0.00
$ 11.30
10,000-49,999
$ 0.25
$
$
$
$
$
$
$ 0.12
$ 14.47
$ 0.01
$ 14.85
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.03
$ 4.20
$ 0.00
$ 4.30
100,000-999,99<
$ 0.07
$
$
$
$
$
$
$ 0.05
$ 5.76
$ 0.01
$ 5.89
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 1.00
$ 0.00
$ 1.02
Total
$ 1.51
$
$
$
$
$
$
$ 0.46
$ 52.78
$ 0.02
$ 54.78
Rule Alternative A2
<100
$ 0.21
$ 1.98
$ 15.99
$ 0.16
$ 1.35
$ 11.07
$ 0.11
$ 0.01
$ 1.08
$ 0.00
$ 31.97
100-499
$ 0.25
$ 2.18
$ 17.59
$ 0.19
$ 1.52
$ 12.39
$ 0.13
$ 0.01
$ 0.98
$
$ 35.25
500-999
$ 0.13
$ 0.91
$ 7.30
$ 0.10
$ 0.62
$ 5.05
$ 0.07
$ 0.01
$ 0.62
$
$ 14.81
1,000-3,299
$ 0.27
$ 1.82
$ 14.76
$ 0.20
$ 1.19
$ 9.65
$ 0.13
$ 0.02
$ 1.87
$
$ 29.92
3,300-9,999
$ 0.25
$ 1.67
$ 13.54
$ 0.19
$ 1.09
$ 8.85
$ 0.12
$ 0.02
$ 1.74
$ 0.00
$ 27.48
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.56
$ 8.35
$ 0.11
$ 0.03
$ 3.84
$ 0.01
$ 28.96
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.14
$ 2.06
$ 0.03
$ 0.01
$ 1.12
$ 0.00
$ 7.34
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.12
$ 2.52
$ 0.04
$ 0.01
$ 1.48
$ 0.01
$ 8.93
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.43
$ 0.01
$ 0.00
$ 0.27
$ 0.00
$ 1.57
Total
$ 1.51
$ 10.04
$ 92.62
$ 1.15
$ 6.63
$ 60.39
$ 0.75
$ 0.12
$ 13.01
$ 0.02
$186.23
Rule Alternative A3
<100
$ 0.21
$ 1.98
$ 3.58
$ 0.16
$ 1.37
$ 2.52
$ 0.11
$ 0.01
$ 0.89
$ 0.00
$ 10.84
100-499
$ 0.25
$ 2.18
$ 3.97
$ 0.19
$ 1.55
$ 2.82
$ 0.13
$ 0.01
$ 0.80
$
$ 11.90
500-999
$ 0.13
$ 0.91
$ 1.66
$ 0.10
$ 0.63
$ 1.15
$ 0.07
$ 0.00
$ 0.53
$
$ 5.19
1,000-3,299
$ 0.27
$ 1.82
$ 3.45
$ 0.20
$ 1.32
$ 2.39
$ 0.15
$ 0.01
$ 0.71
$
$ 10.32
3,300-9,999
$ 0.25
$ 1.67
$ 3.17
$ 0.19
$ 1.21
$ 2.19
$ 0.14
$ 0.01
$ 0.66
$ 0.00
$ 9.49
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.60
$ 8.92
$ 0.12
$ 0.03
$ 3.11
$ 0.01
$ 28.84
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.15
$ 2.20
$ 0.03
$ 0.01
$ 0.91
$ 0.00
$ 7.28
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.13
$ 2.69
$ 0.04
$ 0.01
$ 1.20
$ 0.01
$ 8.82
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.46
$ 0.01
$ 0.00
$ 0.22
$ 0.00
$ 1.55
Total
$ 1.51
$ 10.04
$ 39.28
$ 1.15
$ 6.99
$ 25.33
$ 0.80
$ 0.08
$ 9.03
$ 0.02
$ 94.21
Rule Alternative A3 UV90-10B
<100
$ 0.21
$ 1.98
$ 3.58
$ 0.16
$ 1.37
$ 2.52
$ 0.11
$ 0.01
$ 0.89
$ 0.00
$ 10.84
100-499
$ 0.25
$ 2.18
$ 3.97
$ 0.19
$ 1.55
$ 2.82
$ 0.13
$ 0.01
$ 0.80
$
$ 11.90
500-999
$ 0.13
$ 0.91
$ 1.66
$ 0.10
$ 0.63
$ 1.15
$ 0.07
$ 0.00
$ 0.53
$
$ 5.19
1,000-3,299
$ 0.27
$ 1.82
$ 3.45
$ 0.20
$ 1.32
$ 2.39
$ 0.15
$ 0.01
$ 0.71
$
$ 10.32
3,300-9,999
$ 0.25
$ 1.67
$ 3.17
$ 0.19
$ 1.21
$ 2.19
$ 0.14
$ 0.01
$ 0.66
$ 0.00
$ 9.49
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.60
$ 8.89
$ 0.12
$ 0.03
$ 3.15
$ 0.01
$ 28.85
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.15
$ 2.19
$ 0.03
$ 0.01
$ 0.92
$ 0.00
$ 7.28
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.13
$ 2.68
$ 0.04
$ 0.01
$ 1.22
$ 0.01
$ 8.83
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.46
$ 0.01
$ 0.00
$ 0.23
$ 0.00
$ 1.55
Total
$ 1.51
$ 10.04
$ 39.28
$ 1.15
$ 6.98
$ 25.28
$ 0.80
$ 0.08
$ 9.11
$ 0.02
$ 94.24
Rule Alternative A4
<100
$ 0.21
$ 1.98
$ 2.57
$ 0.16
$ 1.39
$ 1.82
$ 0.11
$ 0.01
$ 0.73
$ 0.00
$ 8.99
100-499
$ 0.25
$ 2.18
$ 2.86
$ 0.19
$ 1.57
$ 2.04
$ 0.14
$ 0.01
$ 0.64
$
$ 9.87
500-999
$ 0.13
$ 0.91
$ 1.20
$ 0.10
$ 0.64
$ 0.83
$ 0.07
$ 0.00
$ 0.45
$
$ 4.34
1,000-3,299
$ 0.27
$ 1.82
$ 2.52
$ 0.20
$ 1.34
$ 1.74
$ 0.15
$ 0.00
$ 0.50
$
$ 8.56
3,300-9,999
$ 0.25
$ 1.67
$ 2.32
$ 0.19
$ 1.23
$ 1.59
$ 0.14
$ 0.00
$ 0.48
$ 0.00
$ 7.88
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.71
$ 10.47
$ 0.14
$ 0.01
$ 1.13
$ 0.01
$ 28.51
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.17
$ 2.58
$ 0.03
$ 0.00
$ 0.34
$ 0.00
$ 7.11
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.15
$ 3.14
$ 0.05
$ 0.00
$ 0.42
$ 0.01
$ 8.52
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.03
$ 0.54
$ 0.01
$ 0.00
$ 0.09
$ 0.00
$ 1.49
Total
$ 1.51
$ 10.04
$ 34.91
$ 1.15
$ 7.23
$ 24.75
$ 0.84
$ 0.04
$ 4.78
$ 0.02
$ 85.27
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.11 h: Implementation and Monitoring - PV, 3% (ICRSSL, Low)
Size Category
Implementation
Initial E. coli
Monitoring
Initial Crypto
Monitoring
Initial
Monitoring
Reporting
Second
Round E. coli
Monitoring
Second
Round
Crypto
Monitoring
Second
Round
Monitoring
Reporting
Benchmarking
Technology
Reporting
Uncovered
Finished
Water
Reservoir
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.21
$
$
$
$
$
$
$ 0.02
$ 1.90
$ 0.00
$ 2.14
100-499
$ 0.25
$
$
$
$
$
$
$ 0.02
$ 1.78
$
$ 2.05
500-999
$ 0.13
$
$
$
$
$
$
$ 0.01
$ 1.02
$
$ 1.17
1,000-3,299
$ 0.27
$
$
$
$
$
$
$ 0.11
$ 11.70
$
$ 12.08
3,300-9,999
$ 0.25
$
$
$
$
$
$
$ 0.10
$ 10.95
$ 0.00
$ 11.30
10,000-49,999
$ 0.25
$
$
$
$
$
$
$ 0.12
$ 14.47
$ 0.01
$ 14.85
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.03
$ 4.20
$ 0.00
$ 4.30
100,000-999,99<
$ 0.07
$
$
$
$
$
$
$ 0.05
$ 5.76
$ 0.01
$ 5.89
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 1.00
$ 0.00
$ 1.02
Total
$ 1.51
$
$
$
$
$
$
$ 0.46
$ 52.78
$ 0.02
$ 54.78
Rule Alternative A2
<100
$ 0.21
$ 1.98
$ 15.99
$ 0.16
$ 1.36
$ 11.16
$ 0.11
$ 0.01
$ 0.99
$ 0.00
$ 31.97
100-499
$ 0.25
$ 2.18
$ 17.59
$ 0.19
$ 1.53
$ 12.49
$ 0.13
$ 0.01
$ 0.89
$
$ 35.27
500-999
$ 0.13
$ 0.91
$ 7.30
$ 0.10
$ 0.63
$ 5.09
$ 0.07
$ 0.01
$ 0.57
$
$ 14.81
1,000-3,299
$ 0.27
$ 1.82
$ 14.76
$ 0.20
$ 1.23
$ 9.95
$ 0.14
$ 0.01
$ 1.53
$
$ 29.92
3,300-9,999
$ 0.25
$ 1.67
$ 13.54
$ 0.19
$ 1.13
$ 9.13
$ 0.13
$ 0.01
$ 1.43
$ 0.00
$ 27.48
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.60
$ 8.84
$ 0.12
$ 0.03
$ 3.21
$ 0.01
$ 28.85
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.15
$ 2.18
$ 0.03
$ 0.01
$ 0.94
$ 0.00
$ 7.29
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.13
$ 2.67
$ 0.04
$ 0.01
$ 1.24
$ 0.01
$ 8.84
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.45
$ 0.01
$ 0.00
$ 0.23
$ 0.00
$ 1.55
Total
$ 1.51
$ 10.04
$ 92.62
$ 1.15
$ 6.78
$ 61.96
$ 0.77
$ 0.10
$ 11.04
$ 0.02
$185.98
Rule Alternative A3
<100
$ 0.21
$ 1.98
$ 2.83
$ 0.16
$ 1.38
$ 2.00
$ 0.11
$ 0.01
$ 0.82
$ 0.00
$ 9.51
100-499
$ 0.25
$ 2.18
$ 3.15
$ 0.19
$ 1.55
$ 2.24
$ 0.14
$ 0.01
$ 0.74
$
$ 10.44
500-999
$ 0.13
$ 0.91
$ 1.32
$ 0.10
$ 0.64
$ 0.91
$ 0.07
$ 0.00
$ 0.49
$
$ 4.58
1,000-3,299
$ 0.27
$ 1.82
$ 2.76
$ 0.20
$ 1.33
$ 1.90
$ 0.15
$ 0.01
$ 0.62
$
$ 9.07
3,300-9,999
$ 0.25
$ 1.67
$ 2.54
$ 0.19
$ 1.22
$ 1.74
$ 0.14
$ 0.01
$ 0.57
$ 0.00
$ 8.34
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.63
$ 9.38
$ 0.12
$ 0.02
$ 2.53
$ 0.01
$ 28.74
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.16
$ 2.31
$ 0.03
$ 0.01
$ 0.74
$ 0.00
$ 7.23
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.14
$ 2.82
$ 0.04
$ 0.01
$ 0.97
$ 0.01
$ 8.73
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.48
$ 0.01
$ 0.00
$ 0.19
$ 0.00
$ 1.53
Total
$ 1.51
$ 10.04
$ 36.05
$ 1.15
$ 7.07
$ 23.78
$ 0.81
$ 0.07
$ 7.68
$ 0.02
$ 88.17
Rule Alternative A3 UV90-10B
<100
$ 0.21
$ 1.98
$ 2.83
$ 0.16
$ 1.38
$ 2.00
$ 0.11
$ 0.01
$ 0.82
$ 0.00
$ 9.51
100-499
$ 0.25
$ 2.18
$ 3.15
$ 0.19
$ 1.55
$ 2.24
$ 0.14
$ 0.01
$ 0.74
$
$ 10.44
500-999
$ 0.13
$ 0.91
$ 1.32
$ 0.10
$ 0.64
$ 0.91
$ 0.07
$ 0.00
$ 0.49
$
$ 4.58
1,000-3,299
$ 0.27
$ 1.82
$ 2.76
$ 0.20
$ 1.33
$ 1.90
$ 0.15
$ 0.01
$ 0.62
$
$ 9.07
3,300-9,999
$ 0.25
$ 1.67
$ 2.54
$ 0.19
$ 1.22
$ 1.74
$ 0.14
$ 0.01
$ 0.58
$ 0.00
$ 8.34
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.63
$ 9.35
$ 0.12
$ 0.02
$ 2.56
$ 0.01
$ 28.75
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.16
$ 2.31
$ 0.03
$ 0.01
$ 0.75
$ 0.00
$ 7.23
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.14
$ 2.81
$ 0.04
$ 0.01
$ 0.99
$ 0.01
$ 8.74
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.48
$ 0.01
$ 0.00
$ 0.19
$ 0.00
$ 1.53
Total
$ 1.51
$ 10.04
$ 36.05
$ 1.15
$ 7.07
$ 23.74
$ 0.81
$ 0.07
$ 7.74
$ 0.02
$ 88.19
Rule Alternative A4
<100
$ 0.21
$ 1.98
$ 1.99
$ 0.16
$ 1.40
$ 1.41
$ 0.11
$ 0.01
$ 0.70
$ 0.00
$ 7.97
100-499
$ 0.25
$ 2.18
$ 2.22
$ 0.19
$ 1.57
$ 1.58
$ 0.14
$ 0.01
$ 0.61
$
$ 8.75
500-999
$ 0.13
$ 0.91
$ 0.94
$ 0.10
$ 0.64
$ 0.64
$ 0.07
$ 0.00
$ 0.43
$
$ 3.88
1,000-3,299
$ 0.27
$ 1.82
$ 1.99
$ 0.20
$ 1.34
$ 1.35
$ 0.15
$ 0.00
$ 0.48
$
$ 7.61
3,300-9,999
$ 0.25
$ 1.67
$ 1.83
$ 0.19
$ 1.23
$ 1.23
$ 0.14
$ 0.00
$ 0.45
$ 0.00
$ 7.01
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.72
$ 10.61
$ 0.14
$ 0.01
$ 0.95
$ 0.01
$ 28.48
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.18
$ 2.62
$ 0.03
$ 0.00
$ 0.29
$ 0.00
$ 7.10
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.16
$ 3.18
$ 0.05
$ 0.00
$ 0.35
$ 0.01
$ 8.49
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.03
$ 0.54
$ 0.01
$ 0.00
$ 0.08
$ 0.00
$ 1.49
Total
$ 1.51
$ 10.04
$ 32.41
$ 1.15
$ 7.26
$ 23.17
$ 0.84
$ 0.04
$ 4.33
$ 0.02
$ 80.77
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.11 i: Implementation and Monitoring - PV, 3% (ICRSSL, High)
Size Category
Implementation
Initial E. coli
Monitoring
Initial Crypto
Monitoring
Initial
Monitoring
Reporting
Second
Round E. coli
Monitoring
Second
Round
Crypto
Monitoring
Second
Round
Monitoring
Reporting
Benchmarking
Technology
Reporting
Uncovered
Finished
Water
Reservoir
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.21
$
$
$
$
$
$
$ 0.02
$ 1.90
$ 0.00
$ 2.14
100-499
$ 0.25
$
$
$
$
$
$
$ 0.02
$ 1.78
$
$ 2.05
500-999
$ 0.13
$
$
$
$
$
$
$ 0.01
$ 1.02
$
$ 1.17
1,000-3,299
$ 0.27
$
$
$
$
$
$
$ 0.11
$ 11.70
$
$ 12.08
3,300-9,999
$ 0.25
$
$
$
$
$
$
$ 0.10
$ 10.95
$ 0.00
$ 11.30
10,000-49,999
$ 0.25
$
$
$
$
$
$
$ 0.12
$ 14.47
$ 0.01
$ 14.85
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.03
$ 4.20
$ 0.00
$ 4.30
100,000-999,99<
$ 0.07
$
$
$
$
$
$
$ 0.05
$ 5.76
$ 0.01
$ 5.89
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 1.00
$ 0.00
$ 1.02
Total
$ 1.51
$
$
$
$
$
$
$ 0.46
$ 52.78
$ 0.02
$ 54.78
Rule Alternative A2
<100
$ 0.21
$ 1.98
$ 15.99
$ 0.16
$ 1.34
$ 10.99
$ 0.11
$ 0.01
$ 1.17
$ 0.00
$ 31.96
100-499
$ 0.25
$ 2.18
$ 17.59
$ 0.19
$ 1.51
$ 12.31
$ 0.13
$ 0.01
$ 1.07
$
$ 35.24
500-999
$ 0.13
$ 0.91
$ 7.30
$ 0.10
$ 0.62
$ 5.02
$ 0.07
$ 0.01
$ 0.66
$
$ 14.82
1,000-3,299
$ 0.27
$ 1.82
$ 14.76
$ 0.20
$ 1.16
$ 9.43
$ 0.13
$ 0.02
$ 2.12
$
$ 29.92
3,300-9,999
$ 0.25
$ 1.67
$ 13.54
$ 0.19
$ 1.07
$ 8.65
$ 0.12
$ 0.02
$ 1.97
$ 0.00
$ 27.49
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.54
$ 7.97
$ 0.11
$ 0.04
$ 4.33
$ 0.01
$ 29.04
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.13
$ 1.97
$ 0.03
$ 0.01
$ 1.27
$ 0.00
$ 7.38
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.12
$ 2.41
$ 0.04
$ 0.01
$ 1.68
$ 0.01
$ 9.01
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.41
$ 0.01
$ 0.00
$ 0.30
$ 0.00
$ 1.58
Total
$ 1.51
$ 10.04
$ 92.62
$ 1.15
$ 6.51
$ 59.14
$ 0.74
$ 0.13
$ 14.57
$ 0.02
$186.42
Rule Alternative A3
<100
$ 0.21
$ 1.98
$ 4.10
$ 0.16
$ 1.37
$ 2.86
$ 0.11
$ 0.01
$ 0.94
$ 0.00
$ 11.74
100-499
$ 0.25
$ 2.18
$ 4.53
$ 0.19
$ 1.54
$ 3.21
$ 0.13
$ 0.01
$ 0.84
$
$ 12.89
500-999
$ 0.13
$ 0.91
$ 1.89
$ 0.10
$ 0.63
$ 1.31
$ 0.07
$ 0.01
$ 0.55
$
$ 5.60
1,000-3,299
$ 0.27
$ 1.82
$ 3.92
$ 0.20
$ 1.31
$ 2.71
$ 0.15
$ 0.01
$ 0.79
$
$ 11.18
3,300-9,999
$ 0.25
$ 1.67
$ 3.59
$ 0.19
$ 1.20
$ 2.49
$ 0.14
$ 0.01
$ 0.72
$ 0.00
$ 10.27
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.58
$ 8.61
$ 0.11
$ 0.03
$ 3.50
$ 0.01
$ 28.90
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.14
$ 2.13
$ 0.03
$ 0.01
$ 1.03
$ 0.00
$ 7.31
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.13
$ 2.60
$ 0.04
$ 0.01
$ 1.36
$ 0.01
$ 8.88
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.44
$ 0.01
$ 0.00
$ 0.25
$ 0.00
$ 1.56
Total
$ 1.51
$ 10.04
$ 41.47
$ 1.15
$ 6.93
$ 26.36
$ 0.79
$ 0.09
$ 9.97
$ 0.02
$ 98.33
Rule Alternative A3 UV90-10B
<100
$ 0.21
$ 1.98
$ 4.10
$ 0.16
$ 1.37
$ 2.86
$ 0.11
$ 0.01
$ 0.94
$ 0.00
$ 11.74
100-499
$ 0.25
$ 2.18
$ 4.53
$ 0.19
$ 1.54
$ 3.21
$ 0.13
$ 0.01
$ 0.84
$
$ 12.89
500-999
$ 0.13
$ 0.91
$ 1.89
$ 0.10
$ 0.63
$ 1.31
$ 0.07
$ 0.01
$ 0.55
$
$ 5.60
1,000-3,299
$ 0.27
$ 1.82
$ 3.92
$ 0.20
$ 1.31
$ 2.71
$ 0.15
$ 0.01
$ 0.79
$
$ 11.18
3,300-9,999
$ 0.25
$ 1.67
$ 3.59
$ 0.19
$ 1.20
$ 2.49
$ 0.14
$ 0.01
$ 0.73
$ 0.00
$ 10.28
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.58
$ 8.57
$ 0.11
$ 0.03
$ 3.56
$ 0.01
$ 28.91
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.14
$ 2.12
$ 0.03
$ 0.01
$ 1.04
$ 0.00
$ 7.32
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.13
$ 2.59
$ 0.04
$ 0.01
$ 1.37
$ 0.01
$ 8.89
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.02
$ 0.44
$ 0.01
$ 0.00
$ 0.25
$ 0.00
$ 1.56
Total
$ 1.51
$ 10.04
$ 41.47
$ 1.15
$ 6.92
$ 26.30
$ 0.79
$ 0.09
$ 10.07
$ 0.02
$ 98.35
Rule Alternative A4
<100
$ 0.21
$ 1.98
$ 3.08
$ 0.16
$ 1.39
$ 2.19
$ 0.11
$ 0.01
$ 0.76
$ 0.00
$ 9.88
100-499
$ 0.25
$ 2.18
$ 3.42
$ 0.19
$ 1.56
$ 2.44
$ 0.14
$ 0.01
$ 0.67
$
$ 10.86
500-999
$ 0.13
$ 0.91
$ 1.43
$ 0.10
$ 0.64
$ 1.00
$ 0.07
$ 0.00
$ 0.46
$
$ 4.75
1,000-3,299
$ 0.27
$ 1.82
$ 2.99
$ 0.20
$ 1.34
$ 2.08
$ 0.15
$ 0.00
$ 0.53
$
$ 9.39
3,300-9,999
$ 0.25
$ 1.67
$ 2.74
$ 0.19
$ 1.23
$ 1.91
$ 0.14
$ 0.00
$ 0.50
$ 0.00
$ 8.64
10,000-49,999
$ 0.25
$ 0.98
$ 14.64
$ 0.19
$ 0.70
$ 10.32
$ 0.14
$ 0.01
$ 1.32
$ 0.01
$ 28.54
50,000-99,999
$ 0.06
$ 0.24
$ 3.63
$ 0.05
$ 0.17
$ 2.55
$ 0.03
$ 0.00
$ 0.39
$ 0.00
$ 7.13
100,000-999,99<
$ 0.07
$ 0.21
$ 4.40
$ 0.06
$ 0.15
$ 3.10
$ 0.05
$ 0.00
$ 0.49
$ 0.01
$ 8.54
1,000,000+
$ 0.01
$ 0.04
$ 0.78
$ 0.01
$ 0.03
$ 0.53
$ 0.01
$ 0.00
$ 0.10
$ 0.00
$ 1.50
Total
$ 1.51
$ 10.04
$ 37.11
$ 1.15
$ 7.20
$ 26.11
$ 0.83
$ 0.05
$ 5.22
$ 0.02
$ 89.25
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.12a: Treatment Uncertainty ¦ PV, 3% (ICR)
Filtered Treatment Capital
Filtered Treatment O&M
Unfiltered Treatment Capital
Unfiltered Treatment O&M
Uncovered Reservoirs Capital
Uncovered Reservoirs O&M
Total
Size Category
5th Percentile
Mean
95th
5th Percentile
Mean
95th
5th
Mean
95th
5th
Mean
95th
5th
Mean
95th
5th
Mean
95th
5th Percentile
Mean
95th
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
Rule Alternative /
\1
<100
$
11.34
$
13.53
$
15.71
$
15.74
$
16.94
$
18.14
$
0.01
$
0.01
$
0.01
$
0.03
$
0.04
$
0.04
$
0.01
$
0.01
$
0.01
$
0.00
$
0.00
$
0.00
$
27.14
$
30.53
$
33.91
100-499
$
16.99
$
20.03
$
23.07
$
27.05
$
29.34
$
31.61
$
0.05
$
0.07
$
0.08
$
0.16
$
0.18
$
0.20
$ -
$ -
$ -
$ -
$ -
$ -
$
44.25
$
49.62
$
54.96
500-999
$
11.57
$
13.58
$
15.59
$
25.88
$
28.32
$
30.75
$
0.16
$
0.18
$
0.21
$
0.30
$
0.32
$
0.35
$ -
$ -
$ -
$ -
$ -
$ -
$
37.91
$
42.40
$
46.89
1,000-3,299
$
61.22
$
74.05
$
86.76
$
91.36
$
100.19
$
109.00
$
1.19
$
1.39
$
1.60
$
1.68
$
1.81
$
1.95
$ -
$ -
$ -
$ -
$ -
$ -
$
155.45
$
177.45
$
199.30
3,300-9,999
$
188.59
$
230.66
$
272.52
$
131.83
$
143.15
$
154.58
$
3.42
$
4.04
$
4.67
$
2.26
$
2.44
$
2.62
$
0.13
$
0.13
$
0.13
$
0.06
$
0.06
$
0.06
$
326.29
$
380.49
$
434.59
10,000-49,999
$
668.80
$
763.66
$
858.84
$
456.35
$
483.94
$
511.69
$
5.77
$
6.80
$
7.85
$
4.14
$
4.45
$
4.77
$
8.71
$
8.71
$
8.71
$
4.30
$
4.30
$
4.30
$
1,148.08
$ 1,271.87
$ 1,396.16
50,000-99,999
$
435.58
$
499.84
$
563.81
$
251.72
$
266.65
$
281.84
$
4.91
$
5.84
$
6.78
$
2.81
$
3.03
$
3.25
$
2.24
$
2.24
$
2.24
$
1.76
$
1.76
$
1.76
$
699.01
$
779.36
$
859.68
100,000-999,999
$
1,316.97
$ 1,502.12
$ 1,687.09
$
872.79
$
924.40
$
976.69
$
15.08
$
17.85
$
20.64
$
11.53
$
12.49
$
13.44
$
85.49
$
85.49
$
85.49
$
49.66
$
49.66
$
49.66
$
2,351.52
$ 2,592.01
$ 2,833.01
1,000,000+
$
588.00
$
670.07
$
752.13
$
496.45
$
525.45
$
554.76
$ 299.28
$
376.79
$
453.34
$
14.64
$
16.35
$
18.03
$
17.06
$
17.06
$
17.06
$
9.17
$
9.17
$
9.17
$
1,424.60
$ 1,614.89
$ 1,804.49
Total
$
3,299.05
$ 3,787.55
$ 4,275.53
$
2,369.18
$
2,518.39
$ 2,669.05
$
329.86
$
412.96
$
495.16
$
37.54
$
41.12
$
44.65
$ 113.64
$ 113.64
$ 113.64
$
64.96
$
64.96
$
64.96
$
6,214.24
$ 6,938.62
$ 7,662.99
Rule Alternative /
\2
<100
$
5.30
$
6.34
$
7.99
$
7.30
$
8.53
$
10.33
$
0.01
$
0.01
$
0.01
$
0.03
$
0.04
$
0.04
$
0.01
$
0.01
$
0.01
$
0.00
$
0.00
$
0.00
$
12.65
$
14.93
$
18.37
100-499
$
7.85
$
9.50
$
11.97
$
10.56
$
12.21
$
14.71
$
0.05
$
0.07
$
0.08
$
0.16
$
0.18
$
0.20
$ -
$ -
$ -
$ -
$ -
$ -
$
18.63
$
21.96
$
26.96
500-999
$
5.38
$
6.53
$
8.23
$
8.05
$
9.25
$
11.11
$
0.16
$
0.18
$
0.21
$
0.30
$
0.32
$
0.35
$ -
$ -
$ -
$ -
$ -
$ -
$
13.88
$
16.29
$
19.90
1,000-3,299
$
21.69
$
26.91
$
34.48
$
27.55
$
31.77
$
38.56
$
1.19
$
1.39
$
1.60
$
1.68
$
1.81
$
1.95
$ -
$ -
$ -
$ -
$ -
$ -
$
52.11
$
61.88
$
76.58
3,300-9,999
$
61.53
$
77.04
$
99.49
$
46.63
$
52.89
$
63.65
$
3.42
$
4.04
$
4.67
$
2.26
$
2.44
$
2.62
$
0.13
$
0.13
$
0.13
$
0.06
$
0.06
$
0.06
$
114.03
$
136.61
$
170.63
10,000-49,999
$
209.04
$
254.66
$
324.42
$
138.73
$
156.24
$
186.77
$
5.77
$
6.80
$
7.85
$
4.14
$
4.45
$
4.77
$
8.71
$
8.71
$
8.71
$
4.30
$
4.30
$
4.30
$
370.70
$
435.16
$
536.82
50,000-99,999
$
134.88
$
166.14
$
213.26
$
70.90
$
80.13
$
95.53
$
4.91
$
5.84
$
6.78
$
2.81
$
3.03
$
3.25
$
2.24
$
2.24
$
2.24
$
1.76
$
1.76
$
1.76
$
217.50
$
259.13
$
322.82
100,000-999,999
$
397.08
$
486.86
$
620.90
$
228.27
$
259.30
$
308.74
$
15.08
$
17.85
$
20.64
$
11.53
$
12.49
$
13.44
$
85.49
$
85.49
$
85.49
$
49.66
$
49.66
$
49.66
$
787.11
$
911.64
$ 1,098.87
1,000,000+
$
175.83
$
215.34
$
274.30
$
125.80
$
143.46
$
170.86
$
299.28
$
376.79
$
453.34
$
14.64
$
16.35
$
18.03
$
17.06
$
17.06
$
17.06
$
9.17
$
9.17
$
9.17
$
641.78
$
778.17
$
942.76
Total
$
1,018.58
$ 1,249.32
$ 1,595.04
$
663.79
$
753.77
$
900.25
$ 329.86
$
412.96
$
495.16
$
37.54
$
41.12
$
44.65
$ 113.64
$ 113.64
$ 113.64
$
64.96
$
64.96
$
64.96
$
2,228.38
$ 2,635.77
$ 3,213.71
Rule Alternative /
\3
<100
$
3.93
$
4.97
$
6.27
$
4.90
$
5.92
$
7.10
$
0.01
$
0.01
$
0.01
$
0.03
$
0.04
$
0.04
$
0.01
$
0.01
$
0.01
$
0.00
$
0.00
$
0.00
$ 8.88
$
10.95
$
13.43
100-499
$
5.51
$
6.98
$
8.75
$
6.71
$
8.09
$
9.65
$
0.05
$
0.07
$
0.08
$
0.16
$
0.18
$
0.20
$ -
$ -
$ -
$ -
$ -
$ -
$
12.43
$
15.31
$
18.68
500-999
$
3.72
$
4.72
$
5.91
$
4.58
$
5.54
$
6.57
$
0.16
$
0.18
$
0.21
$
0.30
$
0.32
$
0.35
$ -
$ -
$ -
$ -
$ -
$ -
$
8.75
$
10.76
$
13.04
1,000-3,299
$
13.74
$
17.66
$
22.21
$
16.29
$
19.63
$
23.41
$
1.19
$
1.39
$
1.60
$
1.68
$
1.81
$
1.95
$ -
$ -
$ -
$ -
$ -
$ -
$
32.90
$
40.50
$
49.16
3,300-9,999
$
37.27
$
48.32
$
61.08
$
31.66
$
37.52
$
44.72
$
3.42
$
4.04
$
4.67
$
2.26
$
2.44
$
2.62
$
0.13
$
0.13
$
0.13
$
0.06
$
0.06
$
0.06
$
74.79
$
92.51
$
113.28
10,000-49,999
$
170.72
$
214.61
$
271.45
$
105.03
$
122.63
$
145.25
$
5.77
$
6.80
$
7.85
$
4.14
$
4.45
$
4.77
$
8.71
$
8.71
$
8.71
$
4.30
$
4.30
$
4.30
$
298.67
$
361.51
$
442.33
50,000-99,999
$
109.84
$
139.94
$
178.68
$
50.21
$
59.10
$
69.76
$
4.91
$
5.84
$
6.78
$
2.81
$
3.03
$
3.25
$
2.24
$
2.24
$
2.24
$
1.76
$
1.76
$
1.76
$
171.76
$
211.91
$
262.47
100,000-999,999
$
316.30
$
401.50
$
509.56
$
156.17
$
185.14
$
218.12
$
15.08
$
17.85
$
20.64
$
11.53
$
12.49
$
13.44
$
85.49
$
85.49
$
85.49
$
49.66
$
49.66
$
49.66
$
634.23
$
752.13
$
896.91
1,000,000+
$
137.58
$
174.83
$
221.82
$
86.03
$
102.34
$
120.52
$ 299.28
$
376.79
$
453.34
$
14.64
$
16.35
$
18.03
$
17.06
$
17.06
$
17.06
$
9.17
$
9.17
$
9.17
$
563.76
$
696.53
$
839.94
Total
$
798.59
$ 1,013.52
$ 1,285.74
$
461.57
$
545.92
$
645.10
$
329.86
$
412.96
$
495.16
$
37.54
$
41.12
$
44.65
$ 113.64
$ 113.64
$ 113.64
$
64.96
$
64.96
$
64.96
$
1,806.16
$ 2,192.12
$ 2,649.25
Rule Alternative /
\3 UV90-10B
<100
$
3.93
$
4.97
$
6.27
$
4.90
$
5.92
$
7.10
$
0.01
$
0.01
$
0.01
$
0.03
$
0.04
$
0.04
$
0.01
$
0.01
$
0.01
$
0.00
$
0.00
$
0.00
$ 8.88
$
10.95
$
13.43
100-499
$
5.51
$
6.98
$
8.75
$
6.71
$
8.09
$
9.65
$
0.05
$
0.07
$
0.08
$
0.16
$
0.18
$
0.20
$ -
$ -
$ -
$ -
$ -
$ -
$
12.43
$
15.31
$
18.68
500-999
$
3.72
$
4.72
$
5.91
$
4.58
$
5.54
$
6.57
$
0.16
$
0.18
$
0.21
$
0.30
$
0.32
$
0.35
$ -
$ -
$ -
$ -
$ -
$ -
$
8.75
$
10.76
$
13.04
1,000-3,299
$
13.75
$
17.67
$
22.23
$
16.28
$
19.63
$
23.40
$
1.19
$
1.39
$
1.60
$
1.68
$
1.81
$
1.95
$ -
$ -
$ -
$ -
$ -
$ -
$
32.90
$
40.50
$
49.17
3,300-9,999
$
37.90
$
49.03
$
61.97
$
31.92
$
37.82
$
45.05
$
3.42
$
4.04
$
4.67
$
2.26
$
2.44
$
2.62
$
0.13
$
0.13
$
0.13
$
0.06
$
0.06
$
0.06
$
75.68
$
93.52
$
114.51
10,000-49,999
$
189.10
$
237.04
$
298.86
$
115.02
$
134.60
$
159.67
$
5.77
$
6.80
$
7.85
$
4.14
$
4.45
$
4.77
$
8.71
$
8.71
$
8.71
$
4.30
$
4.30
$
4.30
$
327.05
$
395.91
$
484.17
50,000-99,999
$
123.89
$
156.83
$
198.66
$
58.26
$
68.99
$
81.90
$
4.91
$
5.84
$
6.78
$
2.81
$
3.03
$
3.25
$
2.24
$
2.24
$
2.24
$
1.76
$
1.76
$
1.76
$
193.86
$
238.70
$
294.58
100,000-999,999
$
367.77
$
464.22
$
585.27
$
192.39
$
229.30
$
272.06
$
15.08
$
17.85
$
20.64
$
11.53
$
12.49
$
13.44
$
85.49
$
85.49
$
85.49
$
49.66
$
49.66
$
49.66
$
721.92
$
859.00
$ 1,026.56
1,000,000+
$
165.93
$
209.87
$
264.46
$
107.10
$
128.04
$
152.14
$
299.28
$
376.79
$
453.34
$
14.64
$
16.35
$
18.03
$
17.06
$
17.06
$
17.06
$
9.17
$
9.17
$
9.17
$
613.18
$
757.29
$
914.20
Total
$
911.49
$ 1,151.32
$ 1,452.38
$
537.16
$
637.93
$
757.54
$
329.86
$
412.96
$
495.16
$
37.54
$
41.12
$
44.65
$ 113.64
$ 113.64
$ 113.64
$
64.96
$
64.96
$
64.96
$
1,994.65
$ 2,421.93
$ 2,928.34
Rule Alternative A4
<100
$
2.21
$
2.91
$
3.79
$
2.54
$
3.00
$
3.60
$
0.01
$
0.01
$
0.01
$
0.03
$
0.04
$
0.04
$
0.01
$
0.01
$
0.01
$
0.00
$
0.00
$
0.00
$
4.80
$
5.97
$
7.45
100-499
$
2.95
$
3.81
$
4.90
$
3.34
$
3.95
$
4.73
$
0.05
$
0.07
$
0.08
$
0.16
$
0.18
$
0.20
$ -
$ -
$ -
$ -
$ -
$ -
$
6.50
$
8.00
$
9.91
500-999
$
1.95
$
2.50
$
3.20
$
2.05
$
2.43
$
2.90
$
0.16
$
0.18
$
0.21
$
0.30
$
0.32
$
0.35
$ -
$ -
$ -
$ -
$ -
$ -
$
4.45
$
5.43
$
6.66
1,000-3,299
$
6.43
$
8.34
$
10.74
$
7.84
$
9.29
$
11.15
$
1.19
$
1.39
$
1.60
$
1.68
$
1.81
$
1.95
$ -
$ -
$ -
$ -
$ -
$ -
$
17.14
$
20.83
$
25.44
3,300-9,999
$
17.18
$
22.38
$
28.98
$
16.80
$
20.20
$
24.55
$
3.42
$
4.04
$
4.67
$
2.26
$
2.44
$
2.62
$
0.13
$
0.13
$
0.13
$
0.06
$
0.06
$
0.06
$
39.84
$
49.26
$
61.02
10,000-49,999
$
68.72
$
90.85
$
116.63
$
48.29
$
57.36
$
68.30
$
5.77
$
6.80
$
7.85
$
4.14
$
4.45
$
4.77
$
8.71
$
8.71
$
8.71
$
4.30
$
4.30
$
4.30
$
139.93
$
172.48
$
210.56
50,000-99,999
$
44.01
$
58.97
$
76.46
$
21.85
$
25.85
$
30.69
$
4.91
$
5.84
$
6.78
$
2.81
$
3.03
$
3.25
$
2.24
$
2.24
$
2.24
$
1.76
$
1.76
$
1.76
$
77.57
$
97.69
$
121.17
100,000-999,999
$
122.20
$
162.50
$
209.47
$
59.19
$
70.40
$
83.54
$
15.08
$
17.85
$
20.64
$
11.53
$
12.49
$
13.44
$
85.49
$
85.49
$
85.49
$
49.66
$
49.66
$
49.66
$
343.15
$
398.38
$
462.24
1,000,000+
$
52.35
$
69.66
$
89.85
$
29.35
$
35.22
$
41.91
$
299.28
$
376.79
$
453.34
$
14.64
$
16.35
$
18.03
$
17.06
$
17.06
$
17.06
$
9.17
$
9.17
$
9.17
$
421.85
$
524.25
$
629.36
Total
$
317.98
$
421.91
$
544.03
$
191.23
$
227.69
$
271.37
$
329.86
$
412.96
$
495.16
$
37.54
$
41.12
$
44.65
$ 113.64
$ 113.64
$ 113.64
$
64.96
$
64.96
$
64.96
$
1,055.22
$ 1,282.29
$ 1,533.81
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.12b: Treatment Uncertainty ¦ PV, 3% (ICRSSM)
Filtered Treatment Capital
Filtered Treatment O&M
Unfiltered Treatment Capital
Unfiltered Treatment O&M
Uncovered Reservoirs Capital
Uncovered Reservoirs O&M
Total
Size Category
5th Percentile
Mean
95th
5th Percentile
Mean
95th
5th
Mean
95th
5th
Mean
95th
5th
Mean
95th
5th
Mean
95th
5th Percentile
Mean
95th
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
Rule Alternative /
\1
<100
$
11.34
$
13.53
$
15.71
$
15.74
$
16.94
$
18.14
$
0.01
$
0.01
$
0.01
$
0.03
$
0.04
$
0.04
$
0.01
$
0.01
$
0.01
$
0.00
$
0.00
$
0.00
$
27.14
$
30.53
$
33.91
100-499
$
16.99
$
20.03
$
23.07
$
27.05
$
29.34
$
31.61
$
0.05
$
0.07
$
0.08
$
0.16
$
0.18
$
0.20
$ -
$ -
$ -
$ -
$ -
$ -
$
44.25
$
49.62
$
54.96
500-999
$
11.57
$
13.58
$
15.59
$
25.88
$
28.32
$
30.75
$
0.16
$
0.18
$
0.21
$
0.30
$
0.32
$
0.35
$ -
$ -
$ -
$ -
$ -
$ -
$
37.91
$
42.40
$
46.89
1,000-3,299
$
61.22
$
74.05
$
86.76
$
91.36
$
100.19
$
109.00
$
1.19
$
1.39
$
1.60
$
1.68
$
1.81
$
1.95
$ -
$ -
$ -
$ -
$ -
$ -
$
155.45
$
177.45
$
199.30
3,300-9,999
$
188.59
$
230.66
$
272.52
$
131.83
$
143.15
$
154.58
$
3.42
$
4.04
$
4.67
$
2.26
$
2.44
$
2.62
$
0.13
$
0.13
$
0.13
$
0.06
$
0.06
$
0.06
$
326.29
$
380.49
$
434.59
10,000-49,999
$
668.80
$
763.66
$
858.84
$
456.35
$
483.94
$
511.69
$
5.77
$
6.80
$
7.85
$
4.14
$
4.45
$
4.77
$
8.71
$
8.71
$
8.71
$
4.30
$
4.30
$
4.30
$
1,148.08
$ 1,271.87
$ 1,396.16
50,000-99,999
$
435.58
$
499.84
$
563.81
$
251.72
$
266.65
$
281.84
$
4.91
$
5.84
$
6.78
$
2.81
$
3.03
$
3.25
$
2.24
$
2.24
$
2.24
$
1.76
$
1.76
$
1.76
$
699.01
$
779.36
$
859.68
100,000-999,999
$
1,316.97
$ 1,502.12
$ 1,687.09
$
872.79
$
924.40
$
976.69
$
15.08
$
17.85
$
20.64
$
11.53
$
12.49
$
13.44
$
85.49
$
85.49
$
85.49
$
49.66
$
49.66
$
49.66
$
2,351.52
$ 2,592.01
$ 2,833.01
1,000,000+
$
588.00
$
670.07
$
752.13
$
496.45
$
525.45
$
554.76
$ 299.28
$
376.79
$ 453.34
$
14.64
$
16.35
$
18.03
$
17.06
$
17.06
$
17.06
$
9.17
$
9.17
$
9.17
$
1,424.60
$ 1,614.89
$ 1,804.49
Total
$
3,299.05
$ 3,787.55
$ 4,275.53
$
2,369.18
$
2,518.39
$ 2,669.05
$
329.86
$
412.96
$ 495.16
$
37.54
$
41.12
$
44.65
$ 113.64
$ 113.64
$ 113.64
$
64.96
$
64.96
$
64.96
$
6,214.24
$ 6,938.62
$ 7,662.99
Rule Alternative /
\2
<100
$
4.08
$
5.20
$
6.41
$
5.04
$
6.08
$
7.24
$
0.01
$
0.01
$
0.01
$
0.03
$
0.04
$
0.04
$
0.01
$
0.01
$
0.01
$
0.00
$
0.00
$
0.00
$
9.18
$
11.34
$
13.71
100-499
$
5.74
$
7.29
$
9.00
$
7.40
$
8.89
$
10.52
$
0.05
$
0.07
$
0.08
$
0.16
$
0.18
$
0.20
$ -
$ -
$ -
$ -
$ -
$ -
$
13.35
$
16.42
$
19.79
500-999
$
3.85
$
4.89
$
6.05
$
5.67
$
6.83
$
8.05
$
0.16
$
0.18
$
0.21
$
0.30
$
0.32
$
0.35
$ -
$ -
$ -
$ -
$ -
$ -
$
9.97
$
12.22
$
14.65
1,000-3,299
$
15.63
$
20.21
$
25.32
$
20.28
$
24.54
$
28.99
$
1.19
$
1.39
$
1.60
$
1.68
$
1.81
$
1.95
$ -
$ -
$ -
$ -
$ -
$ -
$
38.78
$
47.95
$
57.85
3,300-9,999
$
44.55
$
58.27
$
73.49
$
35.71
$
42.76
$
50.05
$
3.42
$
4.04
$
4.67
$
2.26
$
2.44
$
2.62
$
0.13
$
0.13
$
0.13
$
0.06
$
0.06
$
0.06
$
86.13
$
107.71
$
131.03
10,000-49,999
$
156.98
$
203.02
$
252.05
$
105.64
$
125.75
$
146.09
$
5.77
$
6.80
$
7.85
$
4.14
$
4.45
$
4.77
$
8.71
$
8.71
$
8.71
$
4.30
$
4.30
$
4.30
$
285.54
$
353.04
$
423.77
50,000-99,999
$
100.70
$
131.88
$
165.33
$
52.07
$
61.89
$
71.98
$
4.91
$
5.84
$
6.78
$
2.81
$
3.03
$
3.25
$
2.24
$
2.24
$
2.24
$
1.76
$
1.76
$
1.76
$
164.49
$
206.64
$
251.34
100,000-999,999
$
291.44
$
378.72
$
473.02
$
161.02
$
191.73
$
223.45
$
15.08
$
17.85
$
20.64
$
11.53
$
12.49
$
13.44
$
85.49
$
85.49
$
85.49
$
49.66
$
49.66
$
49.66
$
614.22
$
735.94
$
865.70
1,000,000+
$
127.92
$
166.14
$
207.42
$
86.50
$
103.31
$
120.75
$
299.28
$
376.79
$ 453.34
$
14.64
$
16.35
$
18.03
$
17.06
$
17.06
$
17.06
$
9.17
$
9.17
$
9.17
$
554.57
$
688.82
$
825.78
Total
$
750.89
$
975.62
$ 1,218.09
$
479.33
$
571.78
$
667.13
$ 329.86
$
412.96
$ 495.16
$
37.54
$
41.12
$
44.65
$ 113.64
$ 113.64
$ 113.64
$
64.96
$
64.96
$
64.96
$
1,776.23
$ 2,180.08
$ 2,603.63
Rule Alternative /
\3
<100
$
2.70
$
3.64
$
4.61
$
3.14
$
3.88
$
4.60
$
0.01
$
0.01
$
0.01
$
0.03
$
0.04
$
0.04
$
0.01
$
0.01
$
0.01
$
0.00
$
0.00
$
0.00
$
5.89
$
7.59
$
9.27
100-499
$
3.64
$
4.85
$
6.09
$
4.20
$
5.21
$
6.18
$
0.05
$
0.07
$
0.08
$
0.16
$
0.18
$
0.20
$ -
$ -
$ -
$ -
$ -
$ -
$
8.05
$
10.30
$
12.54
500-999
$
2.42
$
3.22
$
4.03
$
2.69
$
3.36
$
4.01
$
0.16
$
0.18
$
0.21
$
0.30
$
0.32
$
0.35
$ -
$ -
$ -
$ -
$ -
$ -
$
5.57
$
7.09
$
8.59
1,000-3,299
$
8.55
$
11.46
$
14.49
$
9.96
$
12.45
$
14.87
$
1.19
$
1.39
$
1.60
$
1.68
$
1.81
$
1.95
$ -
$ -
$ -
$ -
$ -
$ -
$
21.38
$
27.12
$
32.89
3,300-9,999
$
22.56
$
30.60
$
39.01
$
21.06
$
26.22
$
31.24
$
3.42
$
4.04
$
4.67
$
2.26
$
2.44
$
2.62
$
0.13
$
0.13
$
0.13
$
0.06
$
0.06
$
0.06
$
49.49
$
63.49
$
77.74
10,000-49,999
$
119.30
$
157.87
$
198.09
$
71.77
$
87.65
$
103.07
$
5.77
$
6.80
$
7.85
$
4.14
$
4.45
$
4.77
$
8.71
$
8.71
$
8.71
$
4.30
$
4.30
$
4.30
$
213.99
$
269.79
$
326.80
50,000-99,999
$
76.48
$
102.62
$
130.05
$
32.64
$
39.98
$
47.06
$
4.91
$
5.84
$
6.78
$
2.81
$
3.03
$
3.25
$
2.24
$
2.24
$
2.24
$
1.76
$
1.76
$
1.76
$
120.83
$
155.47
$
191.14
100,000-999,999
$
216.57
$
289.06
$
364.89
$
97.42
$
119.71
$
141.06
$
15.08
$
17.85
$
20.64
$
11.53
$
12.49
$
13.44
$
85.49
$
85.49
$
85.49
$
49.66
$
49.66
$
49.66
$
475.75
$
574.25
$
675.18
1,000,000+
$
93.28
$
124.67
$
157.48
$
52.80
$
65.03
$
76.73
$ 299.28
$
376.79
$ 453.34
$
14.64
$
16.35
$
18.03
$
17.06
$
17.06
$
17.06
$
9.17
$
9.17
$
9.17
$
486.23
$
609.07
$
731.82
Total
$
545.51
$
727.99
$
918.73
$
295.67
$
363.49
$
428.81
$
329.86
$
412.96
$ 495.16
$
37.54
$
41.12
$
44.65
$ 113.64
$ 113.64
$ 113.64
$
64.96
$
64.96
$
64.96
$
1,387.18
$ 1,724.17
$ 2,065.96
Rule Alternative /
\3 UV90-10B
<100
$
2.70
$
3.64
$
4.61
$
3.14
$
3.88
$
4.60
$
0.01
$
0.01
$
0.01
$
0.03
$
0.04
$
0.04
$
0.01
$
0.01
$
0.01
$
0.00
$
0.00
$
0.00
$
5.89
$
7.59
$
9.27
100-499
$
3.64
$
4.85
$
6.09
$
4.20
$
5.21
$
6.18
$
0.05
$
0.07
$
0.08
$
0.16
$
0.18
$
0.20
$ -
$ -
$ -
$ -
$ -
$ -
$
8.05
$
10.30
$
12.54
500-999
$
2.42
$
3.22
$
4.03
$
2.69
$
3.36
$
4.01
$
0.16
$
0.18
$
0.21
$
0.30
$
0.32
$
0.35
$ -
$ -
$ -
$ -
$ -
$ -
$
5.57
$
7.09
$
8.59
1,000-3,299
$
8.56
$
11.47
$
14.50
$
9.95
$
12.44
$
14.86
$
1.19
$
1.39
$
1.60
$
1.68
$
1.81
$
1.95
$ -
$ -
$ -
$ -
$ -
$ -
$
21.39
$
27.12
$
32.90
3,300-9,999
$
22.98
$
31.11
$
39.61
$
21.25
$
26.44
$
31.49
$
3.42
$
4.04
$
4.67
$
2.26
$
2.44
$
2.62
$
0.13
$
0.13
$
0.13
$
0.06
$
0.06
$
0.06
$
50.10
$
64.22
$
78.59
10,000-49,999
$
130.71
$
171.73
$
214.75
$
78.52
$
95.79
$
112.54
$
5.77
$
6.80
$
7.85
$
4.14
$
4.45
$
4.77
$
8.71
$
8.71
$
8.71
$
4.30
$
4.30
$
4.30
$
232.15
$
291.79
$
352.92
50,000-99,999
$
84.96
$
112.91
$
142.26
$
37.88
$
46.43
$
54.71
$
4.91
$
5.84
$
6.78
$
2.81
$
3.03
$
3.25
$
2.24
$
2.24
$
2.24
$
1.76
$
1.76
$
1.76
$
134.56
$
172.20
$
210.99
100,000-999,999
$
246.65
$
326.06
$
409.22
$
121.40
$
149.06
$
175.84
$
15.08
$
17.85
$
20.64
$
11.53
$
12.49
$
13.44
$
85.49
$
85.49
$
85.49
$
49.66
$
49.66
$
49.66
$
529.81
$
640.60
$
754.29
1,000,000+
$
109.89
$
145.22
$
181.99
$
67.05
$
82.50
$
97.51
$
299.28
$
376.79
$ 453.34
$
14.64
$
16.35
$
18.03
$
17.06
$
17.06
$
17.06
$
9.17
$
9.17
$
9.17
$
517.09
$
647.08
$
777.10
Total
$
612.52
$
810.21
$ 1,017.04
$
346.08
$
425.10
$
501.73
$
329.86
$
412.96
$ 495.16
$
37.54
$
41.12
$
44.65
$ 113.64
$ 113.64
$ 113.64
$
64.96
$
64.96
$
64.96
$
1,504.61
$ 1,867.99
$ 2,237.19
Rule Alternative A4
<100
$
1.38
$
1.90
$
2.47
$
1.58
$
1.95
$
2.34
$
0.01
$
0.01
$
0.01
$
0.03
$
0.04
$
0.04
$
0.01
$
0.01
$
0.01
$
0.00
$
0.00
$
0.00
$
3.01
$
3.91
$
4.87
100-499
$
1.84
$
2.48
$
3.19
$
2.08
$
2.57
$
3.08
$
0.05
$
0.07
$
0.08
$
0.16
$
0.18
$
0.20
$ -
$ -
$ -
$ -
$ -
$ -
$
4.13
$
5.30
$
6.55
500-999
$
1.21
$
1.62
$
2.08
$
1.28
$
1.58
$ 1.89
$
0.16
$
0.18
$
0.21
$
0.30
$
0.32
$
0.35
$ -
$ -
$ -
$ -
$ -
$ -
$
2.94
$
3.71
$
4.52
1,000-3,299
$
3.96
$
5.37
$
6.93
$
4.90
$
6.08
$
7.29
$
1.19
$
1.39
$
1.60
$
1.68
$
1.81
$
1.95
$ -
$ -
$ -
$ -
$ -
$ -
$
11.73
$
14.66
$
17.77
3,300-9,999
$
10.66
$
14.53
$
18.82
$
10.44
$
13.14
$
15.96
$
3.42
$
4.04
$
4.67
$
2.26
$
2.44
$
2.62
$
0.13
$
0.13
$
0.13
$
0.06
$
0.06
$
0.06
$
26.97
$
34.34
$
42.28
10,000-49,999
$
37.72
$
52.00
$
67.57
$
28.31
$
35.05
$
41.97
$
5.77
$
6.80
$
7.85
$
4.14
$
4.45
$
4.77
$
8.71
$
8.71
$
8.71
$
4.30
$
4.30
$
4.30
$
88.95
$
111.32
$
135.17
50,000-99,999
$
24.17
$
33.74
$
44.29
$
12.86
$
15.88
$
18.97
$
4.91
$
5.84
$
6.78
$
2.81
$
3.03
$
3.25
$
2.24
$
2.24
$
2.24
$
1.76
$
1.76
$
1.76
$
48.75
$
62.50
$
77.29
100,000-999,999
$
66.62
$
92.31
$
120.51
$
33.82
$
41.95
$
50.23
$
15.08
$
17.85
$
20.64
$
11.53
$
12.49
$
13.44
$
85.49
$
85.49
$
85.49
$
49.66
$
49.66
$
49.66
$
262.21
$
299.74
$
339.97
1,000,000+
$
28.52
$
39.53
$
51.63
$
16.20
$
20.27
$
24.41
$
299.28
$
376.79
$ 453.34
$
14.64
$
16.35
$
18.03
$
17.06
$
17.06
$
17.06
$
9.17
$
9.17
$
9.17
$
384.88
$
479.17
$
573.64
Total
$
176.07
$
243.47
$
317.50
$
111.48
$
138.48
$
166.15
$
329.86
$
412.96
$ 495.16
$
37.54
$
41.12
$
44.65
$ 113.64
$ 113.64
$ 113.64
$
64.96
$
64.96
$
64.96
$
833.56
$ 1,014.63
$ 1,202.06
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.12c: Treatment Uncertainty ¦ PV, 3% (ICRSSL)
Filtered Treatment Capital
Filtered Treatment O&M
Unfiltered Treatment Capital
Unfiltered Treatment O&M
Uncovered Reservoirs Capital
Uncovered Reservoirs O&M
Total
Size Category
5th Percentile
Mean
95th
5th Percentile
Mean
95th
5th
Mean
95th
5th
Mean
95th
5th
Mean
95th
5th
Mean
95th
5th Percentile
Mean
95th
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
Rule Alternative /
\1
<100
11.3
13.5
15.7
$
15.74
$
16.94
$
18.14
$
0.01
$
0.01
$
0.01
$
0.03
$
0.04
$
0.04
$
0.01
$
0.01
$
0.01
$
0.00
$
0.00
$
0.00
$
27.14
$
30.53
$
33.91
100-499
17.0
20.0
23.1
$
27.05
$
29.34
$
31.61
$
0.05
$
0.07
$
0.08
$
0.16
$
0.18
$
0.20
$ -
$ -
$ -
$ -
$ -
$ -
$
44.25
$
49.62
$
54.96
500-999
11.6
13.6
15.6
$
25.88
$
28.32
$
30.75
$
0.16
$
0.18
$
0.21
$
0.30
$
0.32
$
0.35
$ -
$ -
$ -
$ -
$ -
$ -
$
37.91
$
42.40
$
46.89
1,000-3,299
61.2
74.0
86.8
$
91.36
$
100.19
$
109.00
$
1.19
$
1.39
$
1.60
$
1.68
$
1.81
$
1.95
$ -
$ -
$ -
$ -
$ -
$ -
$
155.45
$
177.45
$
199.30
3,300-9,999
188.6
230.7
272.5
$
131.83
$
143.15
$
154.58
$
3.42
$
4.04
$
4.67
$
2.26
$
2.44
$
2.62
$
0.13
$
0.13
$
0.13
$
0.06
$
0.06
$
0.06
$
326.29
$
380.49
$
434.59
10,000-49,999
668.8
763.7
858.8
$
456.35
$
483.94
$
511.69
$
5.77
$
6.80
$
7.85
$
4.14
$
4.45
$
4.77
$
8.71
$
8.71
$
8.71
$
4.30
$
4.30
$
4.30
$
1,148.08
$ 1,271.87
$ 1,396.16
50,000-99,999
435.6
499.8
563.8
$
251.72
$
266.65
$
281.84
$
4.91
$
5.84
$
6.78
$
2.81
$
3.03
$
3.25
$
2.24
$
2.24
$
2.24
$
1.76
$
1.76
$
1.76
$
699.01
$
779.36
$
859.68
100,000-999,999
1,317.0
1,502.1
1,687.1
$
872.79
$
924.40
$
976.69
$
15.08
$
17.85
$
20.64
$
11.53
$
12.49
$
13.44
$
85.49
$
85.49
$
85.49
$
49.66
$
49.66
$
49.66
$
2,351.52
$ 2,592.01
$ 2,833.01
1,000,000+
588.0
670.1
752.1
$
496.45
$
525.45
$
554.76
$ 299.28
$
376.79
$ 453.34
$
14.64
$
16.35
$
18.03
$
17.06
$
17.06
$
17.06
$
9.17
$
9.17
$
9.17
$
1,424.60
$ 1,614.89
$ 1,804.49
Total
$
3,299.05
$ 3,787.55
$ 4,275.53
$
2,369.18
$
2,518.39
$ 2,669.05
$
329.86
$
412.96
$ 495.16
$
37.54
$
41.12
$
44.65
$ 113.64
$ 113.64
$ 113.64
$
64.96
$
64.96
$
64.96
$
6,214.24
$ 6,938.62
$ 7,662.99
Rule Alternative /
\2
<100
3.4
4.7
5.9
$
4.06
$
5.20
$
6.33
$
0.01
$
0.01
$
0.01
$
0.03
$
0.04
$
0.04
$
0.01
$
0.01
$
0.01
$
0.00
$
0.00
$
0.00
$
7.53
$
9.91
$
12.31
100-499
4.7
6.4
8.1
$
5.87
$
7.56
$
9.17
$
0.05
$
0.07
$
0.08
$
0.16
$
0.18
$
0.20
$ -
$ -
$ -
$ -
$ -
$ -
$
10.79
$
14.19
$
17.55
500-999
3.1
4.2
5.4
$
4.36
$
5.70
$
6.94
$
0.16
$
0.18
$
0.21
$
0.30
$
0.32
$
0.35
$ -
$ -
$ -
$ -
$ -
$ -
$
7.95
$
10.45
$
12.89
1,000-3,299
12.3
17.1
22.1
$
15.93
$
20.83
$
25.42
$
1.19
$
1.39
$
1.60
$
1.68
$
1.81
$
1.95
$ -
$ -
$ -
$ -
$ -
$ -
$
31.10
$
41.18
$
51.08
3,300-9,999
34.9
49.2
64.1
$
29.08
$
37.39
$
45.24
$
3.42
$
4.04
$
4.67
$
2.26
$
2.44
$
2.62
$
0.13
$
0.13
$
0.13
$
0.06
$
0.06
$
0.06
$
69.82
$
93.31
$
116.78
10,000-49,999
122.4
172.6
222.9
$
84.26
$
108.38
$
130.42
$
5.77
$
6.80
$
7.85
$
4.14
$
4.45
$
4.77
$
8.71
$
8.71
$
8.71
$
4.30
$
4.30
$
4.30
$
229.62
$
305.29
$
378.95
50,000-99,999
78.4
112.0
146.2
$
40.74
$
52.51
$
63.17
$
4.91
$
5.84
$
6.78
$
2.81
$
3.03
$
3.25
$
2.24
$
2.24
$
2.24
$
1.76
$
1.76
$
1.76
$
130.81
$
177.41
$
223.35
100,000-999,999
224.3
319.0
414.0
$
121.92
$
158.77
$
191.57
$
15.08
$
17.85
$
20.64
$
11.53
$
12.49
$
13.44
$
85.49
$
85.49
$
85.49
$
49.66
$
49.66
$
49.66
$
507.98
$
643.20
$
774.79
1,000,000+
98.0
139.4
180.8
$
64.11
$
84.22
$
102.01
$
299.28
$
376.79
$ 453.34
$
14.64
$
16.35
$
18.03
$
17.06
$
17.06
$
17.06
$
9.17
$
9.17
$
9.17
$
502.28
$
642.98
$
780.44
Total
$
581.54
$
824.68
$ 1,069.46
$
370.33
$
480.56
$
580.26
$ 329.86
$
412.96
$ 495.16
$
37.54
$
41.12
$
44.65
$ 113.64
$ 113.64
$ 113.64
$
64.96
$
64.96
$
64.96
$
1,497.87
$ 1,937.93
$ 2,368.13
Rule Alternative /
\3
<100
2.0
3.0
3.9
$
2.26
$
3.08
$
3.78
$
0.01
$
0.01
$
0.01
$
0.03
$
0.04
$
0.04
$
0.01
$
0.01
$
0.01
$
0.00
$
0.00
$
0.00
$
4.27
$
6.11
$
7.77
100-499
2.6
3.9
5.1
$
2.98
$
4.09
$
5.03
$
0.05
$
0.07
$
0.08
$
0.16
$
0.18
$
0.20
$ -
$ -
$ -
$ -
$ -
$ -
$
5.82
$
8.24
$
10.41
500-999
1.7
2.6
3.4
$ 1.86
$
2.57
$
3.18
$
0.16
$
0.18
$
0.21
$
0.30
$
0.32
$
0.35
$ -
$ -
$ -
$ -
$ -
$ -
$
4.06
$
5.65
$
7.09
1,000-3,299
6.0
9.0
11.8
$
6.94
$
9.63
$
11.91
$
1.19
$
1.39
$
1.60
$
1.68
$
1.81
$
1.95
$ -
$ -
$ -
$ -
$ -
$ -
$
15.83
$
21.83
$
27.27
3,300-9,999
15.7
23.7
31.5
$
15.10
$
20.96
$
25.99
$
3.42
$
4.04
$
4.67
$
2.26
$
2.44
$
2.62
$
0.13
$
0.13
$
0.13
$
0.06
$
0.06
$
0.06
$
36.65
$
51.37
$
64.95
10,000-49,999
86.5
127.7
166.5
$
51.72
$
70.33
$
85.82
$
5.77
$
6.80
$
7.85
$
4.14
$
4.45
$
4.77
$
8.71
$
8.71
$
8.71
$
4.30
$
4.30
$
4.30
$
161.17
$
222.34
$
277.98
50,000-99,999
55.4
83.0
109.3
$
23.20
$
31.57
$
38.52
$
4.91
$
5.84
$
6.78
$
2.81
$
3.03
$
3.25
$
2.24
$
2.24
$
2.24
$
1.76
$
1.76
$
1.76
$
90.34
$
127.42
$
161.84
100,000-999,999
156.2
232.6
305.1
$
68.35
$
93.18
$
113.69
$
15.08
$
17.85
$
20.64
$
11.53
$
12.49
$
13.44
$
85.49
$
85.49
$
85.49
$
49.66
$
49.66
$
49.66
$
386.35
$
491.27
$
588.00
1,000,000+
67.1
100.1
131.3
$
36.88
$
50.34
$
61.46
$ 299.28
$
376.79
$ 453.34
$
14.64
$
16.35
$
18.03
$
17.06
$
17.06
$
17.06
$
9.17
$
9.17
$
9.17
$
444.17
$
569.77
$
690.38
Total
$
393.37
$
585.56
$
767.90
$
209.30
$
285.76
$
349.38
$
329.86
$
412.96
$ 495.16
$
37.54
$
41.12
$
44.65
$ 113.64
$ 113.64
$ 113.64
$
64.96
$
64.96
$
64.96
$
1,148.67
$ 1,504.00
$ 1,835.70
Rule Alternative /
\3 UV90-10B
<100
2.0
3.0
3.9
$
2.26
$
3.08
$
3.78
$
0.01
$
0.01
$
0.01
$
0.03
$
0.04
$
0.04
$
0.01
$
0.01
$
0.01
$
0.00
$
0.00
$
0.00
$
4.27
$
6.11
$
7.77
100-499
2.6
3.9
5.1
$
2.98
$
4.09
$
5.03
$
0.05
$
0.07
$
0.08
$
0.16
$
0.18
$
0.20
$ -
$ -
$ -
$ -
$ -
$ -
$
5.82
$
8.24
$
10.41
500-999
1.7
2.6
3.4
$ 1.86
$
2.57
$
3.18
$
0.16
$
0.18
$
0.21
$
0.30
$
0.32
$
0.35
$ -
$ -
$ -
$ -
$ -
$ -
$
4.06
$
5.65
$
7.09
1,000-3,299
6.0
9.0
11.8
$
6.94
$
9.63
$
11.91
$
1.19
$
1.39
$
1.60
$
1.68
$
1.81
$
1.95
$ -
$ -
$ -
$ -
$ -
$ -
$
15.83
$
21.83
$
27.27
3,300-9,999
16.0
24.1
32.0
$
15.23
$
21.14
$
26.19
$
3.42
$
4.04
$
4.67
$
2.26
$
2.44
$
2.62
$
0.13
$
0.13
$
0.13
$
0.06
$
0.06
$
0.06
$
37.09
$
51.96
$
65.64
10,000-49,999
94.3
138.2
179.4
$
56.50
$
76.69
$
93.40
$
5.77
$
6.80
$
7.85
$
4.14
$
4.45
$
4.77
$
8.71
$
8.71
$
8.71
$
4.30
$
4.30
$
4.30
$
173.76
$
239.18
$
298.46
50,000-99,999
61.2
90.7
118.7
$
26.87
$
36.54
$
44.52
$
4.91
$
5.84
$
6.78
$
2.81
$
3.03
$
3.25
$
2.24
$
2.24
$
2.24
$
1.76
$
1.76
$
1.76
$
99.77
$
140.11
$
177.20
100,000-999,999
176.7
260.1
338.6
$
85.31
$
115.99
$
141.22
$
15.08
$
17.85
$
20.64
$
11.53
$
12.49
$
13.44
$
85.49
$
85.49
$
85.49
$
49.66
$
49.66
$
49.66
$
423.79
$
541.56
$
649.06
1,000,000+
78.4
115.3
150.0
$
46.99
$
64.00
$
78.02
$
299.28
$
376.79
$ 453.34
$
14.64
$
16.35
$
18.03
$
17.06
$
17.06
$
17.06
$
9.17
$
9.17
$
9.17
$
465.52
$
598.67
$
725.65
Total
$
438.99
$
646.89
$
842.90
$
244.93
$
333.73
$
407.25
$
329.86
$
412.96
$ 495.16
$
37.54
$
41.12
$
44.65
$ 113.64
$ 113.64
$ 113.64
$
64.96
$
64.96
$
64.96
$
1,229.92
$ 1,613.31
$ 1,968.57
Rule Alternative A4
<100
0.9
1.4
1.9
$
1.01
$
1.41
$
1.83
$
0.01
$
0.01
$
0.01
$
0.03
$
0.04
$
0.04
$
0.01
$
0.01
$
0.01
$
0.00
$
0.00
$
0.00
$
1.94
$
2.83
$
3.81
100-499
1.2
1.8
2.5
$
1.33
$
1.85
$
2.40
$
0.05
$
0.07
$
0.08
$
0.16
$
0.18
$
0.20
$ -
$ -
$ -
$ -
$ -
$ -
$
2.71
$
3.88
$
5.17
500-999
0.8
1.2
1.6
$
0.82
$
1.14
$
1.47
$
0.16
$
0.18
$
0.21
$
0.30
$
0.32
$
0.35
$ -
$ -
$ -
$ -
$ -
$ -
$
2.04
$
2.81
$
3.65
1,000-3,299
2.5
3.8
5.4
$
3.14
$
4.39
$
5.69
$
1.19
$
1.39
$
1.60
$
1.68
$
1.81
$
1.95
$ -
$ -
$ -
$ -
$ -
$ -
$
8.53
$
11.44
$
14.62
3,300-9,999
6.8
10.4
14.7
$
6.67
$
9.46
$
12.44
$
3.42
$
4.04
$
4.67
$
2.26
$
2.44
$
2.62
$
0.13
$
0.13
$
0.13
$
0.06
$
0.06
$
0.06
$
19.34
$
26.58
$
34.60
10,000-49,999
23.1
35.4
50.1
$
17.73
$
24.58
$
31.95
$
5.77
$
6.80
$
7.85
$
4.14
$
4.45
$
4.77
$
8.71
$
8.71
$
8.71
$
4.30
$
4.30
$
4.30
$
63.72
$
84.22
$
107.66
50,000-99,999
14.8
23.0
32.8
$
8.07
$
11.17
$
14.48
$
4.91
$
5.84
$
6.78
$
2.81
$
3.03
$
3.25
$
2.24
$
2.24
$
2.24
$
1.76
$
1.76
$
1.76
$
34.57
$
46.98
$
61.31
100,000-999,999
40.6
62.6
89.0
$
20.99
$
29.09
$
37.87
$
15.08
$
17.85
$
20.64
$
11.53
$
12.49
$
13.44
$
85.49
$
85.49
$
85.49
$
49.66
$
49.66
$
49.66
$
223.39
$
257.13
$
296.05
1,000,000+
17.4
26.8
38.1
$
9.93
$
13.82
$
18.13
$
299.28
$
376.79
$ 453.34
$
14.64
$
16.35
$
18.03
$
17.06
$
17.06
$
17.06
$
9.17
$
9.17
$
9.17
$
367.48
$
459.97
$
553.83
Total
$
108.05
$
166.27
$
236.02
$
69.67
$
96.89
$
126.27
$
329.86
$
412.96
$ 495.16
$
37.54
$
41.12
$
44.65
$ 113.64
$ 113.64
$ 113.64
$
64.96
$
64.96
$
64.96
$
723.73
$
895.85
$ 1,080.70
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.13a: State Costs - Present Value 7% (ICR, Mean)
E.coli
E. coli
Crypto
Monitoring
Crypto
Uncovered
Monitoring
Monitoring
Review
Monitoring
Finished Water
Review Initial
Review Initial
Second
Review
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Second Round
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$
0.00
$
$
$
$
$
0.01
$
0.27
$
0.000
$
0.29
100-499
$
0.01
$
$
$
$
$
0.01
$
0.24
$
$
0.26
500-999
$
0.02
$
$
$
$
$
0.00
$
0.11
$
$
0.13
1,000-3,299
$
0.09
$
$
$
$
$
0.04
$
1.20
$
-
$
1.34
3,300-9,999
$
0.25
$
$
$
$
$
0.04
$
1.10
$
0.000
$
1.40
10,000-49,999
$
1.01
$
$
0.05
$
1.41
$
0.000
$
2.48
50,000-99,999
$
0.70
$
$
0.02
$
0.42
$
0.000
$
1.14
100,000-999,99S
$
2.94
$
$
0.02
$
0.51
$
0.002
$
3.47
1,000,000+
$
2.49
$
$
0.00
$
0.09
$
0.000
$
2.58
Total
$
7.52
$
$
$
$
$
0.20
$
5.36
$
0.003
$
13.07
Rule Alternative A2
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.01
$
0.24
$
0.000
$
0.30
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.01
$
0.21
$
$
0.48
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.09
$
$
0.39
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.01
$
0.32
$
-
$
1.98
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.01
$
0.30
$
0.000
$
4.92
10,000-49,999
$
1.01
$
0.10
$
0.02
$
0.53
$
0.000
$
1.66
50,000-99,999
$
0.70
$
0.07
$
0.01
$
0.16
$
0.000
$
0.94
100,000-999,99S
$
2.94
$
0.32
$
0.01
$
0.19
$
0.002
$
3.46
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.03
$
0.000
$
2.80
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.08
$
2.08
$
0.003
$
16.93
Rule Alternative A3
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.01
$
0.19
$
0.000
$
0.24
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.01
$
0.16
$
$
0.42
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.07
$
$
0.37
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.01
$
0.16
$
-
$
1.82
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.01
$
0.15
$
0.000
$
4.77
10,000-49,999
$
1.01
$
0.10
$
0.02
$
0.48
$
0.000
$
1.61
50,000-99,999
$
0.70
$
0.07
$
0.01
$
0.15
$
0.000
$
0.92
100,000-999,99S
$
2.94
$
0.32
$
0.01
$
0.17
$
0.002
$
3.44
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.03
$
0.000
$
2.79
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.06
$
1.56
$
0.003
$
16.39
Rule Alternative A3 UV90-10B
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.01
$
0.19
$
0.000
$
0.24
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.01
$
0.16
$
$
0.42
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.07
$
$
0.37
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.01
$
0.16
$
-
$
1.82
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.01
$
0.15
$
0.000
$
4.77
10,000-49,999
$
1.01
$
0.10
$
0.02
$
0.49
$
0.000
$
1.62
50,000-99,999
$
0.70
$
0.07
$
0.01
$
0.15
$
0.000
$
0.93
100,000-999,99S
$
2.94
$
0.32
$
0.01
$
0.18
$
0.002
$
3.44
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.03
$
0.000
$
2.79
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.06
$
1.58
$
0.003
$
16.41
Rule Alternative A4
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.00
$
0.13
$
0.000
$
0.18
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.00
$
0.11
$
$
0.37
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.05
$
$
0.35
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.00
$
0.07
$
-
$
1.71
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.00
$
0.06
$
0.000
$
4.68
10,000-49,999
$
1.01
$
0.10
$
0.01
$
0.24
$
0.000
$
1.36
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.07
$
0.000
$
0.85
100,000-999,99S
$
2.94
$
0.32
$
0.00
$
0.08
$
0.002
$
3.35
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.02
$
0.000
$
2.78
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.03
$
0.82
$
0.003
$
15.63
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.13b: State Costs - Present Value 7% (ICR, Low)
E.coli
E. coli
Crypto
Monitoring
Crypto
Uncovered
Monitoring
Monitoring
Review
Monitoring
Finished Water
Review Initial
Review Initial
Second
Review
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Second Round
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$
0.00
$
$
$
$
$
0.01
$
0.27
$
0.000
$
0.29
100-499
$
0.01
$
$
$
$
$
0.01
$
0.24
$
$
0.26
500-999
$
0.02
$
$
$
$
$
0.00
$
0.11
$
$
0.13
1,000-3,299
$
0.09
$
$
$
$
$
0.04
$
1.20
$
-
$
1.34
3,300-9,999
$
0.25
$
$
$
$
$
0.04
$
1.11
$
0.000
$
1.40
10,000-49,999
$
1.01
$
$
0.05
$
1.49
$
0.000
$
2.55
50,000-99,999
$
0.70
$
$
0.02
$
0.44
$
0.000
$
1.16
100,000-999,99S
$
2.94
$
$
0.02
$
0.54
$
0.002
$
3.50
1,000,000+
$
2.49
$
$
0.00
$
0.09
$
0.000
$
2.58
Total
$
7.52
$
$
$
$
$
0.20
$
5.49
$
0.003
$
13.21
Rule Alternative A2
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.01
$
0.22
$
0.000
$
0.28
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.01
$
0.19
$
$
0.46
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.09
$
$
0.39
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.01
$
0.30
$
-
$
1.96
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.01
$
0.28
$
0.000
$
4.90
10,000-49,999
$
1.01
$
0.10
$
0.02
$
0.51
$
0.000
$
1.63
50,000-99,999
$
0.70
$
0.07
$
0.01
$
0.15
$
0.000
$
0.93
100,000-999,99S
$
2.94
$
0.32
$
0.01
$
0.18
$
0.002
$
3.45
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.03
$
0.000
$
2.79
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.07
$
1.95
$
0.003
$
16.79
Rule Alternative A3
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.01
$
0.17
$
0.000
$
0.23
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.01
$
0.14
$
$
0.41
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.07
$
$
0.37
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.01
$
0.14
$
-
$
1.79
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.00
$
0.13
$
0.000
$
4.75
10,000-49,999
$
1.01
$
0.10
$
0.02
$
0.45
$
0.000
$
1.58
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.14
$
0.000
$
0.91
100,000-999,99S
$
2.94
$
0.32
$
0.01
$
0.16
$
0.002
$
3.43
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.03
$
0.000
$
2.79
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.05
$
1.43
$
0.003
$
16.25
Rule Alternative A3 UV90-10B
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.01
$
0.17
$
0.000
$
0.23
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.01
$
0.14
$
$
0.41
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.07
$
$
0.37
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.01
$
0.14
$
-
$
1.79
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.00
$
0.13
$
0.000
$
4.75
10,000-49,999
$
1.01
$
0.10
$
0.02
$
0.46
$
0.000
$
1.58
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.14
$
0.000
$
0.92
100,000-999,99S
$
2.94
$
0.32
$
0.01
$
0.16
$
0.002
$
3.43
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.03
$
0.000
$
2.79
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.05
$
1.44
$
0.003
$
16.27
Rule Alternative A4
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.00
$
0.10
$
0.000
$
0.15
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.00
$
0.09
$
$
0.35
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.05
$
$
0.35
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.00
$
0.06
$
-
$
1.71
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.00
$
0.06
$
0.000
$
4.68
10,000-49,999
$
1.01
$
0.10
$
0.01
$
0.21
$
0.000
$
1.33
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.07
$
0.000
$
0.84
100,000-999,99S
$
2.94
$
0.32
$
0.00
$
0.07
$
0.002
$
3.34
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.01
$
0.000
$
2.78
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.03
$
0.72
$
0.003
$
15.52
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.13c: State Costs - Present Value 7% (ICR, High)
E.coli
E. coli
Crypto
Monitoring
Crypto
Uncovered
Monitoring
Monitoring
Review
Monitoring
Finished Water
Review Initial
Review Initial
Second
Review
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Second Round
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$
0.00
$
$
$
$
$
0.01
$
0.27
$
0.000
$
0.29
100-499
$
0.01
$
$
$
$
$
0.01
$
0.24
$
$
0.26
500-999
$
0.02
$
$
$
$
$
0.00
$
0.11
$
$
0.13
1,000-3,299
$
0.09
$
$
$
$
$
0.04
$
1.20
$
-
$
1.34
3,300-9,999
$
0.25
$
$
$
$
$
0.04
$
1.11
$
0.000
$
1.40
10,000-49,999
$
1.01
$
$
0.05
$
1.49
$
0.000
$
2.55
50,000-99,999
$
0.70
$
$
0.02
$
0.44
$
0.000
$
1.16
100,000-999,99S
$
2.94
$
$
0.02
$
0.54
$
0.002
$
3.50
1,000,000+
$
2.49
$
$
0.00
$
0.09
$
0.000
$
2.58
Total
$
7.52
$
$
$
$
$
0.20
$
5.49
$
0.003
$
13.21
Rule Alternative A2
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.01
$
0.27
$
0.000
$
0.33
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.01
$
0.23
$
$
0.50
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.10
$
$
0.40
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.01
$
0.36
$
-
$
2.02
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.01
$
0.33
$
0.000
$
4.96
10,000-49,999
$
1.01
$
0.10
$
0.02
$
0.60
$
0.000
$
1.73
50,000-99,999
$
0.70
$
0.07
$
0.01
$
0.18
$
0.000
$
0.96
100,000-999,99S
$
2.94
$
0.32
$
0.01
$
0.21
$
0.002
$
3.48
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.04
$
0.000
$
2.80
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.09
$
2.32
$
0.003
$
17.18
Rule Alternative A3
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.01
$
0.20
$
0.000
$
0.26
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.01
$
0.17
$
$
0.44
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.08
$
$
0.38
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.01
$
0.18
$
-
$
1.83
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.01
$
0.16
$
0.000
$
4.79
10,000-49,999
$
1.01
$
0.10
$
0.02
$
0.54
$
0.000
$
1.66
50,000-99,999
$
0.70
$
0.07
$
0.01
$
0.16
$
0.000
$
0.94
100,000-999,99S
$
2.94
$
0.32
$
0.01
$
0.19
$
0.002
$
3.46
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.03
$
0.000
$
2.80
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.06
$
1.72
$
0.003
$
16.55
Rule Alternative A3 UV90-10B
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.01
$
0.20
$
0.000
$
0.26
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.01
$
0.17
$
$
0.44
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.08
$
$
0.38
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.01
$
0.18
$
-
$
1.83
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.01
$
0.17
$
0.000
$
4.79
10,000-49,999
$
1.01
$
0.10
$
0.02
$
0.55
$
0.000
$
1.68
50,000-99,999
$
0.70
$
0.07
$
0.01
$
0.16
$
0.000
$
0.94
100,000-999,99S
$
2.94
$
0.32
$
0.01
$
0.19
$
0.002
$
3.46
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.03
$
0.000
$
2.80
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.06
$
1.74
$
0.003
$
16.57
Rule Alternative A4
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.00
$
0.10
$
0.000
$
0.15
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.00
$
0.09
$
$
0.36
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.05
$
$
0.35
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.00
$
0.07
$
-
$
1.72
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.00
$
0.06
$
0.000
$
4.68
10,000-49,999
$
1.01
$
0.10
$
0.01
$
0.26
$
0.000
$
1.38
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.08
$
0.000
$
0.86
100,000-999,99S
$
2.94
$
0.32
$
0.00
$
0.09
$
0.002
$
3.36
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.02
$
0.000
$
2.78
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.03
$
0.83
$
0.003
$
15.63
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.13d: State Costs - Present Value 7% (ICRSSM, Mean)
E.coli
E. coli
Crypto
Monitoring
Crypto
Uncovered
Monitoring
Monitoring
Review
Monitoring
Finished Water
Review Initial
Review Initial
Second
Review
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Second Round
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$
0.00
$
$
$
$
$
0.01
$
0.27
$
0.000
$
0.29
100-499
$
0.01
$
$
$
$
$
0.01
$
0.24
$
$
0.26
500-999
$
0.02
$
$
$
$
$
0.00
$
0.11
$
$
0.13
1,000-3,299
$
0.09
$
$
$
$
$
0.04
$
1.20
$
-
$
1.34
3,300-9,999
$
0.25
$
$
$
$
$
0.04
$
1.11
$
0.000
$
1.40
10,000-49,999
$
1.01
$
$
0.05
$
1.49
$
0.000
$
2.55
50,000-99,999
$
0.70
$
$
0.02
$
0.44
$
0.000
$
1.16
100,000-999,99S
$
2.94
$
$
0.02
$
0.54
$
0.002
$
3.50
1,000,000+
$
2.49
$
$
0.00
$
0.09
$
0.000
$
2.58
Total
$
7.52
$
$
$
$
$
0.20
$
5.49
$
0.003
$
13.21
Rule Alternative A2
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.01
$
0.17
$
0.000
$
0.23
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.01
$
0.15
$
$
0.41
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.07
$
$
0.37
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.01
$
0.24
$
-
$
1.89
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.01
$
0.22
$
0.000
$
4.84
10,000-49,999
$
1.01
$
0.10
$
0.02
$
0.45
$
0.000
$
1.57
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.13
$
0.000
$
0.91
100,000-999,99S
$
2.94
$
0.32
$
0.01
$
0.16
$
0.002
$
3.43
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.03
$
0.000
$
2.79
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.06
$
1.62
$
0.003
$
16.45
Rule Alternative A3
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.01
$
0.14
$
0.000
$
0.20
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.00
$
0.12
$
$
0.38
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.06
$
$
0.36
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.00
$
0.09
$
-
$
1.74
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.00
$
0.08
$
0.000
$
4.70
10,000-49,999
$
1.01
$
0.10
$
0.01
$
0.38
$
0.000
$
1.50
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.11
$
0.000
$
0.89
100,000-999,99S
$
2.94
$
0.32
$
0.00
$
0.13
$
0.002
$
3.40
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.02
$
0.000
$
2.79
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.04
$
1.15
$
0.003
$
15.96
Rule Alternative A3 UV90-10B
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.01
$
0.14
$
0.000
$
0.20
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.00
$
0.12
$
$
0.38
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.06
$
$
0.36
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.00
$
0.09
$
-
$
1.74
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.00
$
0.08
$
0.000
$
4.70
10,000-49,999
$
1.01
$
0.10
$
0.01
$
0.39
$
0.000
$
1.51
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.12
$
0.000
$
0.89
100,000-999,99S
$
2.94
$
0.32
$
0.00
$
0.14
$
0.002
$
3.40
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.03
$
0.000
$
2.79
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.04
$
1.16
$
0.003
$
15.98
Rule Alternative A4
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.00
$
0.11
$
0.000
$
0.17
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.00
$
0.09
$
$
0.35
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.05
$
$
0.35
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.00
$
0.06
$
-
$
1.70
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.00
$
0.05
$
0.000
$
4.67
10,000-49,999
$
1.01
$
0.10
$
0.01
$
0.15
$
0.000
$
1.27
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.05
$
0.000
$
0.82
100,000-999,99S
$
2.94
$
0.32
$
0.00
$
0.05
$
0.002
$
3.32
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.01
$
0.000
$
2.77
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.02
$
0.63
$
0.003
$
15.42
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.13e: State Costs - Present Value 7% (ICRSSM, Low)
E.coli
E. coli
Crypto
Monitoring
Crypto
Uncovered
Monitoring
Monitoring
Review
Monitoring
Finished Water
Review Initial
Review Initial
Second
Review
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Second Round
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$
0.00
$
$
$
$
$
0.01
$
0.27
$
0.000
$
0.29
100-499
$
0.01
$
$
$
$
$
0.01
$
0.24
$
$
0.26
500-999
$
0.02
$
$
$
$
$
0.00
$
0.11
$
$
0.13
1,000-3,299
$
0.09
$
$
$
$
$
0.04
$
1.20
$
-
$
1.34
3,300-9,999
$
0.25
$
$
$
$
$
0.04
$
1.11
$
0.000
$
1.40
10,000-49,999
$
1.01
$
$
0.05
$
1.49
$
0.000
$
2.55
50,000-99,999
$
0.70
$
$
0.02
$
0.44
$
0.000
$
1.16
100,000-999,99S
$
2.94
$
$
0.02
$
0.54
$
0.002
$
3.50
1,000,000+
$
2.49
$
$
0.00
$
0.09
$
0.000
$
2.58
Total
$
7.52
$
$
$
$
$
0.20
$
5.49
$
0.003
$
13.21
Rule Alternative A2
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.01
$
0.16
$
0.000
$
0.22
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.01
$
0.14
$
$
0.40
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.07
$
$
0.36
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.01
$
0.21
$
-
$
1.86
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.01
$
0.19
$
0.000
$
4.82
10,000-49,999
$
1.01
$
0.10
$
0.01
$
0.40
$
0.000
$
1.53
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.12
$
0.000
$
0.90
100,000-999,99S
$
2.94
$
0.32
$
0.01
$
0.14
$
0.002
$
3.41
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.03
$
0.000
$
2.79
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.05
$
1.46
$
0.003
$
16.29
Rule Alternative A3
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.00
$
0.13
$
0.000
$
0.19
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.00
$
0.11
$
$
0.37
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.06
$
$
0.35
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.00
$
0.08
$
-
$
1.73
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.00
$
0.07
$
0.000
$
4.69
10,000-49,999
$
1.01
$
0.10
$
0.01
$
0.34
$
0.000
$
1.46
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.10
$
0.000
$
0.88
100,000-999,99S
$
2.94
$
0.32
$
0.00
$
0.12
$
0.002
$
3.39
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.02
$
0.000
$
2.78
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.04
$
1.04
$
0.003
$
15.85
Rule Alternative A3 UV90-10B
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.00
$
0.13
$
0.000
$
0.19
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.00
$
0.11
$
$
0.37
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.06
$
$
0.35
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.00
$
0.08
$
-
$
1.73
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.00
$
0.07
$
0.000
$
4.69
10,000-49,999
$
1.01
$
0.10
$
0.01
$
0.35
$
0.000
$
1.46
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.10
$
0.000
$
0.88
100,000-999,99S
$
2.94
$
0.32
$
0.00
$
0.12
$
0.002
$
3.39
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.02
$
0.000
$
2.78
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.04
$
1.05
$
0.003
$
15.86
Rule Alternative A4
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.00
$
0.11
$
0.000
$
0.16
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.00
$
0.09
$
$
0.35
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.05
$
$
0.35
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.00
$
0.05
$
-
$
1.70
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.00
$
0.05
$
0.000
$
4.67
10,000-49,999
$
1.01
$
0.10
$
0.00
$
0.14
$
0.000
$
1.25
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.04
$
0.000
$
0.82
100,000-999,99S
$
2.94
$
0.32
$
0.00
$
0.05
$
0.002
$
3.31
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.01
$
0.000
$
2.77
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.02
$
0.58
$
0.003
$
15.38
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.13f: State Costs - Present Value 7% (ICRSSM, High)
E.coli
E. coli
Crypto
Monitoring
Crypto
Uncovered
Monitoring
Monitoring
Review
Monitoring
Finished Water
Review Initial
Review Initial
Second
Review
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Second Round
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$
0.00
$
$
$
$
$
0.01
$
0.27
$
0.000
$
0.29
100-499
$
0.01
$
$
$
$
$
0.01
$
0.24
$
$
0.26
500-999
$
0.02
$
$
$
$
$
0.00
$
0.11
$
$
0.13
1,000-3,299
$
0.09
$
$
$
$
$
0.04
$
1.20
$
-
$
1.34
3,300-9,999
$
0.25
$
$
$
$
$
0.04
$
1.11
$
0.000
$
1.40
10,000-49,999
$
1.01
$
$
0.05
$
1.49
$
0.000
$
2.55
50,000-99,999
$
0.70
$
$
0.02
$
0.44
$
0.000
$
1.16
100,000-999,99S
$
2.94
$
$
0.02
$
0.54
$
0.002
$
3.50
1,000,000+
$
2.49
$
$
0.00
$
0.09
$
0.000
$
2.58
Total
$
7.52
$
$
$
$
$
0.20
$
5.49
$
0.003
$
13.21
Rule Alternative A2
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.01
$
0.19
$
0.000
$
0.25
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.01
$
0.16
$
$
0.43
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.08
$
$
0.38
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.01
$
0.26
$
-
$
1.91
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.01
$
0.24
$
0.000
$
4.86
10,000-49,999
$
1.01
$
0.10
$
0.02
$
0.49
$
0.000
$
1.62
50,000-99,999
$
0.70
$
0.07
$
0.01
$
0.15
$
0.000
$
0.93
100,000-999,99S
$
2.94
$
0.32
$
0.01
$
0.17
$
0.002
$
3.44
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.03
$
0.000
$
2.79
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.06
$
1.76
$
0.003
$
16.60
Rule Alternative A3
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.01
$
0.15
$
0.000
$
0.21
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.00
$
0.12
$
$
0.39
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.06
$
$
0.36
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.00
$
0.10
$
-
$
1.75
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.00
$
0.09
$
0.000
$
4.71
10,000-49,999
$
1.01
$
0.10
$
0.02
$
0.42
$
0.000
$
1.54
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.12
$
0.000
$
0.90
100,000-999,99S
$
2.94
$
0.32
$
0.01
$
0.15
$
0.002
$
3.41
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.03
$
0.000
$
2.79
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.05
$
1.24
$
0.003
$
16.06
Rule Alternative A3 UV90-10B
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.01
$
0.15
$
0.000
$
0.21
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.00
$
0.12
$
$
0.39
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.06
$
$
0.36
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.00
$
0.10
$
-
$
1.75
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.00
$
0.09
$
0.000
$
4.71
10,000-49,999
$
1.01
$
0.10
$
0.02
$
0.42
$
0.000
$
1.55
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.13
$
0.000
$
0.91
100,000-999,99S
$
2.94
$
0.32
$
0.01
$
0.15
$
0.002
$
3.42
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.03
$
0.000
$
2.79
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.05
$
1.26
$
0.003
$
16.08
Rule Alternative A4
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.00
$
0.12
$
0.000
$
0.17
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.00
$
0.10
$
$
0.36
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.05
$
$
0.35
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.00
$
0.06
$
-
$
1.71
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.00
$
0.05
$
0.000
$
4.67
10,000-49,999
$
1.01
$
0.10
$
0.01
$
0.17
$
0.000
$
1.28
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.05
$
0.000
$
0.83
100,000-999,99S
$
2.94
$
0.32
$
0.00
$
0.06
$
0.002
$
3.32
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.01
$
0.000
$
2.77
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.02
$
0.66
$
0.003
$
15.46
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.13g: State Costs - Present Value 7% (ICRSSL, Mean)
E.coli
E. coli
Crypto
Monitoring
Crypto
Uncovered
Monitoring
Monitoring
Review
Monitoring
Finished Water
Review Initial
Review Initial
Second
Review
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Second Round
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$
0.00
$
$
$
$
$
0.01
$
0.27
$
0.000
$
0.29
100-499
$
0.01
$
$
$
$
$
0.01
$
0.24
$
$
0.26
500-999
$
0.02
$
$
$
$
$
0.00
$
0.11
$
$
0.13
1,000-3,299
$
0.09
$
$
$
$
$
0.04
$
1.20
$
-
$
1.34
3,300-9,999
$
0.25
$
$
$
$
$
0.04
$
1.11
$
0.000
$
1.40
10,000-49,999
$
1.01
$
$
0.05
$
1.49
$
0.000
$
2.55
50,000-99,999
$
0.70
$
$
0.02
$
0.44
$
0.000
$
1.16
100,000-999,99S
$
2.94
$
$
0.02
$
0.54
$
0.002
$
3.50
1,000,000+
$
2.49
$
$
0.00
$
0.09
$
0.000
$
2.58
Total
$
7.52
$
$
$
$
$
0.20
$
5.49
$
0.003
$
13.21
Rule Alternative A2
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.01
$
0.16
$
0.000
$
0.21
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.00
$
0.13
$
$
0.40
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.06
$
$
0.36
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.01
$
0.19
$
-
$
1.85
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.01
$
0.18
$
0.000
$
4.80
10,000-49,999
$
1.01
$
0.10
$
0.01
$
0.39
$
0.000
$
1.52
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.12
$
0.000
$
0.90
100,000-999,99S
$
2.94
$
0.32
$
0.00
$
0.14
$
0.002
$
3.41
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.03
$
0.000
$
2.79
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.05
$
1.40
$
0.003
$
16.22
Rule Alternative A3
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.00
$
0.13
$
0.000
$
0.18
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.00
$
0.11
$
$
0.37
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.05
$
$
0.35
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.00
$
0.07
$
-
$
1.72
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.00
$
0.07
$
0.000
$
4.68
10,000-49,999
$
1.01
$
0.10
$
0.01
$
0.32
$
0.000
$
1.44
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.10
$
0.000
$
0.87
100,000-999,99S
$
2.94
$
0.32
$
0.00
$
0.11
$
0.002
$
3.38
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.02
$
0.000
$
2.78
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.04
$
0.98
$
0.003
$
15.79
Rule Alternative A3 UV90-10B
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.00
$
0.13
$
0.000
$
0.18
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.00
$
0.11
$
$
0.37
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.05
$
$
0.35
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.00
$
0.07
$
-
$
1.72
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.00
$
0.07
$
0.000
$
4.69
10,000-49,999
$
1.01
$
0.10
$
0.01
$
0.32
$
0.000
$
1.44
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.10
$
0.000
$
0.87
100,000-999,99S
$
2.94
$
0.32
$
0.00
$
0.11
$
0.002
$
3.38
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.02
$
0.000
$
2.78
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.04
$
0.99
$
0.003
$
15.79
Rule Alternative A4
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.00
$
0.10
$
0.000
$
0.16
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.00
$
0.09
$
$
0.35
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.05
$
$
0.34
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.00
$
0.05
$
-
$
1.70
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.00
$
0.05
$
0.000
$
4.67
10,000-49,999
$
1.01
$
0.10
$
0.00
$
0.12
$
0.000
$
1.23
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.04
$
0.000
$
0.81
100,000-999,99S
$
2.94
$
0.32
$
0.00
$
0.04
$
0.002
$
3.30
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.01
$
0.000
$
2.77
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.02
$
0.54
$
0.003
$
15.33
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.13h: State Costs - Present Value 7% (ICRSSL, Low)
E.coli
E. coli
Crypto
Monitoring
Crypto
Uncovered
Monitoring
Monitoring
Review
Monitoring
Finished Water
Review Initial
Review Initial
Second
Review
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Second Round
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$
0.00
$
$
$
$
$
0.01
$
0.27
$
0.000
$
0.29
100-499
$
0.01
$
$
$
$
$
0.01
$
0.24
$
$
0.26
500-999
$
0.02
$
$
$
$
$
0.00
$
0.11
$
$
0.13
1,000-3,299
$
0.09
$
$
$
$
$
0.04
$
1.20
$
-
$
1.34
3,300-9,999
$
0.25
$
$
$
$
$
0.04
$
1.11
$
0.000
$
1.40
10,000-49,999
$
1.01
$
$
0.05
$
1.49
$
0.000
$
2.55
50,000-99,999
$
0.70
$
$
0.02
$
0.44
$
0.000
$
1.16
100,000-999,99S
$
2.94
$
$
0.02
$
0.54
$
0.002
$
3.50
1,000,000+
$
2.49
$
$
0.00
$
0.09
$
0.000
$
2.58
Total
$
7.52
$
$
$
$
$
0.20
$
5.49
$
0.003
$
13.21
Rule Alternative A2
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.01
$
0.14
$
0.000
$
0.20
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.00
$
0.12
$
$
0.38
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.06
$
$
0.36
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.01
$
0.16
$
-
$
1.81
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.01
$
0.14
$
0.000
$
4.77
10,000-49,999
$
1.01
$
0.10
$
0.01
$
0.33
$
0.000
$
1.45
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.10
$
0.000
$
0.88
100,000-999,99S
$
2.94
$
0.32
$
0.00
$
0.12
$
0.002
$
3.38
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.02
$
0.000
$
2.78
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.04
$
1.19
$
0.003
$
16.01
Rule Alternative A3
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.00
$
0.12
$
0.000
$
0.18
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.00
$
0.10
$
$
0.36
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.05
$
$
0.35
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.00
$
0.06
$
-
$
1.71
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.00
$
0.06
$
0.000
$
4.68
10,000-49,999
$
1.01
$
0.10
$
0.01
$
0.26
$
0.000
$
1.38
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.08
$
0.000
$
0.86
100,000-999,99S
$
2.94
$
0.32
$
0.00
$
0.09
$
0.002
$
3.36
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.02
$
0.000
$
2.78
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.03
$
0.84
$
0.003
$
15.64
Rule Alternative A3 UV90-10B
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.00
$
0.12
$
0.000
$
0.18
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.00
$
0.10
$
$
0.36
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.05
$
$
0.35
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.00
$
0.06
$
-
$
1.71
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.00
$
0.06
$
0.000
$
4.68
10,000-49,999
$
1.01
$
0.10
$
0.01
$
0.26
$
0.000
$
1.38
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.08
$
0.000
$
0.86
100,000-999,99S
$
2.94
$
0.32
$
0.00
$
0.09
$
0.002
$
3.36
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.02
$
0.000
$
2.78
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.03
$
0.84
$
0.003
$
15.65
Rule Alternative A4
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.00
$
0.10
$
0.000
$
0.16
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.00
$
0.08
$
$
0.34
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.04
$
$
0.34
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.00
$
0.05
$
-
$
1.70
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.00
$
0.05
$
0.000
$
4.66
10,000-49,999
$
1.01
$
0.10
$
0.00
$
0.10
$
0.000
$
1.21
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.03
$
0.000
$
0.81
100,000-999,99S
$
2.94
$
0.32
$
0.00
$
0.03
$
0.002
$
3.30
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.01
$
0.000
$
2.77
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.02
$
0.49
$
0.003
$
15.28
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.13i: State Costs - Present Value 7% (ICRSSL, High)
E.coli
E. coli
Crypto
Monitoring
Crypto
Uncovered
Monitoring
Monitoring
Review
Monitoring
Finished Water
Review Initial
Review Initial
Second
Review
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Round
Second Round
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$
0.00
$
$
$
$
$
0.01
$
0.27
$
0.000
$
0.29
100-499
$
0.01
$
$
$
$
$
0.01
$
0.24
$
$
0.26
500-999
$
0.02
$
$
$
$
$
0.00
$
0.11
$
$
0.13
1,000-3,299
$
0.09
$
$
$
$
$
0.04
$
1.20
$
-
$
1.34
3,300-9,999
$
0.25
$
$
$
$
$
0.04
$
1.11
$
0.000
$
1.40
10,000-49,999
$
1.01
$
$
0.05
$
1.49
$
0.000
$
2.55
50,000-99,999
$
0.70
$
$
0.02
$
0.44
$
0.000
$
1.16
100,000-999,99S
$
2.94
$
$
0.02
$
0.54
$
0.002
$
3.50
1,000,000+
$
2.49
$
$
0.00
$
0.09
$
0.000
$
2.58
Total
$
7.52
$
$
$
$
$
0.20
$
5.49
$
0.003
$
13.21
Rule Alternative A2
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.01
$
0.17
$
0.000
$
0.23
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.01
$
0.14
$
$
0.41
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.07
$
$
0.37
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.01
$
0.22
$
-
$
1.87
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.01
$
0.20
$
0.000
$
4.82
10,000-49,999
$
1.01
$
0.10
$
0.02
$
0.44
$
0.000
$
1.57
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.13
$
0.000
$
0.91
100,000-999,99S
$
2.94
$
0.32
$
0.01
$
0.16
$
0.002
$
3.42
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.03
$
0.000
$
2.79
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.06
$
1.56
$
0.003
$
16.39
Rule Alternative A3
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.01
$
0.13
$
0.000
$
0.19
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.00
$
0.11
$
$
0.38
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.06
$
$
0.36
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.00
$
0.08
$
-
$
1.73
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.00
$
0.07
$
0.000
$
4.69
10,000-49,999
$
1.01
$
0.10
$
0.01
$
0.36
$
0.000
$
1.48
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.11
$
0.000
$
0.89
100,000-999,99S
$
2.94
$
0.32
$
0.00
$
0.13
$
0.002
$
3.39
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.02
$
0.000
$
2.79
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.04
$
1.08
$
0.003
$
15.89
Rule Alternative A3 UV90-10B
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.01
$
0.13
$
0.000
$
0.19
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.00
$
0.11
$
$
0.38
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.06
$
$
0.36
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.00
$
0.08
$
-
$
1.73
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.00
$
0.07
$
0.000
$
4.69
10,000-49,999
$
1.01
$
0.10
$
0.01
$
0.37
$
0.000
$
1.49
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.11
$
0.000
$
0.89
100,000-999,99S
$
2.94
$
0.32
$
0.00
$
0.13
$
0.002
$
3.39
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.02
$
0.000
$
2.79
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.04
$
1.09
$
0.003
$
15.90
Rule Alternative A4
<100
$
0.00
$
0.02
$
0.01
$
0.01
$
0.00
$
0.00
$
0.11
$
0.000
$
0.17
100-499
$
0.01
$
0.11
$
0.06
$
0.05
$
0.02
$
0.00
$
0.09
$
$
0.35
500-999
$
0.02
$
0.13
$
0.07
$
0.06
$
0.03
$
0.00
$
0.05
$
$
0.35
1,000-3,299
$
0.09
$
0.70
$
0.38
$
0.33
$
0.14
$
0.00
$
0.05
$
-
$
1.70
3,300-9,999
$
0.25
$
1.97
$
1.07
$
0.92
$
0.40
$
0.00
$
0.05
$
0.000
$
4.67
10,000-49,999
$
1.01
$
0.10
$
0.00
$
0.14
$
0.000
$
1.25
50,000-99,999
$
0.70
$
0.07
$
0.00
$
0.04
$
0.000
$
0.82
100,000-999,99S
$
2.94
$
0.32
$
0.00
$
0.05
$
0.002
$
3.31
1,000,000+
$
2.49
$
0.27
$
0.00
$
0.01
$
0.000
$
2.77
Total
$
7.52
$
2.93
$
1.59
$
1.37
$
1.36
$
0.02
$
0.58
$
0.003
$
15.38
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.14a: Implementation and Monitoring - PV, 7% (ICR, Mean)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reseivoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.20
$
$
$
$
$
$
$ 0.01
$ 1.05
$ 0.00
$ 1.26
100-499
$ 0.24
$
$
$
$
$
$
$ 0.01
$ 0.98
$
$ 1.23
500-999
$ 0.12
$
$
$
$
$
$
$ 0.01
$ 0.56
$
$ 0.69
1,000-3,299
$ 0.25
$
$
$
$
$
$
$ 0.08
$ 6.45
$
$ 6.78
3,300-9,999
$ 0.23
$
$
$
$
$
$
$ 0.07
$ 6.00
$ 0.00
$ 6.31
10,000-49,999
$ 0.24
$
$
$
$
$
$
$ 0.10
$ 7.84
$ 0.01
$ 8.19
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.03
$ 2.33
$ 0.00
$ 2.42
100,000-999,99E
$ 0.07
$
$
$
$
$
$
$ 0.04
$ 3.23
$ 0.01
$ 3.35
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.56
$ 0.00
$ 0.57
Total
$ 1.42
$
$
$
$
$
$
$ 0.36
$ 29.01
$ 0.02
$ 30.81
Rule Alternative A2
<100
$ 0.20
$ 1.80
$ 13.48
$ 0.13
$ 0.81
$ 6.29
$ 0.06
$ 0.01
$ 0.93
$ 0.00
$ 23.71
100-499
$ 0.24
$ 1.99
$ 14.82
$ 0.16
$ 0.91
$ 7.04
$ 0.08
$ 0.01
$ 0.86
$
$ 26.11
500-999
$ 0.12
$ 0.83
$ 6.15
$ 0.08
$ 0.37
$ 2.87
$ 0.04
$ 0.01
$ 0.50
$
$ 10.98
1,000-3,299
$ 0.25
$ 1.66
$ 12.44
$ 0.17
$ 0.66
$ 5.09
$ 0.07
$ 0.02
$ 1.74
$
$ 22.11
3,300-9,999
$ 0.23
$ 1.52
$ 11.41
$ 0.16
$ 0.61
$ 4.68
$ 0.07
$ 0.02
$ 1.62
$ 0.00
$ 20.31
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.32
$ 4.80
$ 0.06
$ 0.04
$ 2.96
$ 0.01
$ 22.80
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.08
$ 1.23
$ 0.02
$ 0.01
$ 0.88
$ 0.00
$ 5.99
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.07
$ 1.53
$ 0.02
$ 0.01
$ 1.20
$ 0.01
$ 7.42
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.01
$ 0.26
$ 0.00
$ 0.00
$ 0.22
$ 0.00
$ 1.30
Total
$ 1.42
$ 9.15
$ 80.03
$ 1.00
$ 3.87
$ 33.78
$ 0.42
$ 0.13
$ 10.91
$ 0.02
$ 140.73
Rule Alternative A3
<100
$ 0.20
$ 1.80
$ 4.70
$ 0.13
$ 0.84
$ 2.27
$ 0.06
$ 0.01
$ 0.71
$ 0.00
$ 10.72
100-499
$ 0.24
$ 1.99
$ 5.19
$ 0.16
$ 0.95
$ 2.54
$ 0.08
$ 0.01
$ 0.65
$
$ 11.79
500-999
$ 0.12
$ 0.83
$ 2.16
$ 0.08
$ 0.39
$ 1.03
$ 0.04
$ 0.00
$ 0.40
$
$ 5.06
1,000-3,299
$ 0.25
$ 1.66
$ 4.43
$ 0.17
$ 0.77
$ 2.06
$ 0.08
$ 0.01
$ 0.88
$
$ 10.32
3,300-9,999
$ 0.23
$ 1.52
$ 4.07
$ 0.16
$ 0.71
$ 1.89
$ 0.08
$ 0.01
$ 0.82
$ 0.00
$ 9.49
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.34
$ 5.04
$ 0.07
$ 0.03
$ 2.69
$ 0.01
$ 22.79
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.09
$ 1.29
$ 0.02
$ 0.01
$ 0.81
$ 0.00
$ 5.98
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.08
$ 1.61
$ 0.02
$ 0.01
$ 1.08
$ 0.01
$ 7.39
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.01
$ 0.27
$ 0.00
$ 0.00
$ 0.20
$ 0.00
$ 1.29
Total
$ 1.42
$ 9.15
$ 42.28
$ 1.00
$ 4.18
$ 18.00
$ 0.45
$ 0.10
$ 8.23
$ 0.02
$ 84.83
Rule Alternative A3 UV90-10B
<100
$ 0.20
$ 1.80
$ 4.70
$ 0.13
$ 0.84
$ 2.27
$ 0.06
$ 0.01
$ 0.71
$ 0.00
$ 10.72
100-499
$ 0.24
$ 1.99
$ 5.19
$ 0.16
$ 0.95
$ 2.54
$ 0.08
$ 0.01
$ 0.65
$
$ 11.79
500-999
$ 0.12
$ 0.83
$ 2.16
$ 0.08
$ 0.39
$ 1.03
$ 0.04
$ 0.00
$ 0.40
$
$ 5.06
1,000-3,299
$ 0.25
$ 1.66
$ 4.43
$ 0.17
$ 0.77
$ 2.06
$ 0.08
$ 0.01
$ 0.88
$
$ 10.32
3,300-9,999
$ 0.23
$ 1.52
$ 4.07
$ 0.16
$ 0.71
$ 1.89
$ 0.08
$ 0.01
$ 0.82
$ 0.00
$ 9.49
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.34
$ 4.99
$ 0.07
$ 0.03
$ 2.75
$ 0.01
$ 22.79
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.09
$ 1.28
$ 0.02
$ 0.01
$ 0.82
$ 0.00
$ 5.98
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.08
$ 1.60
$ 0.02
$ 0.01
$ 1.10
$ 0.01
$ 7.40
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.01
$ 0.27
$ 0.00
$ 0.00
$ 0.20
$ 0.00
$ 1.29
Total
$ 1.42
$ 9.15
$ 42.28
$ 1.00
$ 4.17
$ 17.92
$ 0.45
$ 0.10
$ 8.33
$ 0.02
$ 84.84
Rule Alternative A4
<100
$ 0.20
$ 1.80
$ 4.09
$ 0.13
$ 0.87
$ 2.04
$ 0.07
$ 0.01
$ 0.49
$ 0.00
$ 9.69
100-499
$ 0.24
$ 1.99
$ 4.52
$ 0.16
$ 0.98
$ 2.28
$ 0.08
$ 0.01
$ 0.43
$
$ 10.68
500-999
$ 0.12
$ 0.83
$ 1.89
$ 0.08
$ 0.40
$ 0.93
$ 0.04
$ 0.00
$ 0.29
$
$ 4.59
1,000-3,299
$ 0.25
$ 1.66
$ 3.88
$ 0.17
$ 0.84
$ 1.95
$ 0.09
$ 0.00
$ 0.35
$
$ 9.20
3,300-9,999
$ 0.23
$ 1.52
$ 3.56
$ 0.16
$ 0.77
$ 1.79
$ 0.08
$ 0.00
$ 0.33
$ 0.00
$ 8.45
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.42
$ 6.27
$ 0.08
$ 0.02
$ 1.33
$ 0.01
$ 22.75
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.11
$ 1.61
$ 0.02
$ 0.00
$ 0.40
$ 0.00
$ 5.91
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.10
$ 2.00
$ 0.03
$ 0.01
$ 0.52
$ 0.01
$ 7.24
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.02
$ 0.34
$ 0.01
$ 0.00
$ 0.10
$ 0.00
$ 1.27
Total
$ 1.42
$ 9.15
$ 39.67
$ 1.00
$ 4.51
$ 19.21
$ 0.50
$ 0.05
$ 4.24
$ 0.02
$ 79.77
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.14b: Implementation and Monitoring - PV, 7% (ICR, Low)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reseivoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.20
$
$
$
$
$
$
$ 0.01
$ 1.05
$ 0.00
$ 1.26
100-499
$ 0.24
$
$
$
$
$
$
$ 0.01
$ 0.98
$
$ 1.23
500-999
$ 0.12
$
$
$
$
$
$
$ 0.01
$ 0.56
$
$ 0.69
1,000-3,299
$ 0.25
$
$
$
$
$
$
$ 0.08
$ 6.45
$
$ 6.78
3,300-9,999
$ 0.23
$
$
$
$
$
$
$ 0.07
$ 6.04
$ 0.00
$ 6.35
10,000-49,999
$ 0.24
$
$
$
$
$
$
$ 0.10
$ 8.25
$ 0.01
$ 8.59
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.03
$ 2.46
$ 0.00
$ 2.55
100,000-999,99E
$ 0.07
$
$
$
$
$
$
$ 0.04
$ 3.39
$ 0.01
$ 3.51
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.59
$ 0.00
$ 0.60
Total
$ 1.42
$
$
$
$
$
$
$ 0.36
$ 29.76
$ 0.02
$ 31.56
Rule Alternative A2
<100
$ 0.20
$ 1.80
$ 13.48
$ 0.13
$ 0.82
$ 6.37
$ 0.06
$ 0.01
$ 0.85
$ 0.00
$ 23.72
100-499
$ 0.24
$ 1.99
$ 14.82
$ 0.16
$ 0.93
$ 7.13
$ 0.08
$ 0.01
$ 0.79
$
$ 26.13
500-999
$ 0.12
$ 0.83
$ 6.15
$ 0.08
$ 0.38
$ 2.91
$ 0.04
$ 0.01
$ 0.47
$
$ 10.98
1,000-3,299
$ 0.25
$ 1.66
$ 12.44
$ 0.17
$ 0.68
$ 5.21
$ 0.07
$ 0.02
$ 1.61
$
$ 22.12
3,300-9,999
$ 0.23
$ 1.52
$ 11.41
$ 0.16
$ 0.63
$ 4.79
$ 0.07
$ 0.02
$ 1.50
$ 0.00
$ 20.32
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.33
$ 4.93
$ 0.07
$ 0.03
$ 2.81
$ 0.01
$ 22.79
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.09
$ 1.27
$ 0.02
$ 0.01
$ 0.84
$ 0.00
$ 5.98
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.08
$ 1.57
$ 0.02
$ 0.01
$ 1.14
$ 0.01
$ 7.41
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.01
$ 0.27
$ 0.00
$ 0.00
$ 0.20
$ 0.00
$ 1.30
Total
$ 1.42
$ 9.15
$ 80.03
$ 1.00
$ 3.94
$ 34.44
$ 0.43
$ 0.13
$ 10.20
$ 0.02
$ 140.76
Rule Alternative A3
<100
$ 0.20
$ 1.80
$ 4.37
$ 0.13
$ 0.85
$ 2.13
$ 0.07
$ 0.01
$ 0.65
$ 0.00
$ 10.20
100-499
$ 0.24
$ 1.99
$ 4.82
$ 0.16
$ 0.96
$ 2.38
$ 0.08
$ 0.01
$ 0.59
$
$ 11.22
500-999
$ 0.12
$ 0.83
$ 2.01
$ 0.08
$ 0.39
$ 0.97
$ 0.04
$ 0.00
$ 0.37
$
$ 4.82
1,000-3,299
$ 0.25
$ 1.66
$ 4.13
$ 0.17
$ 0.79
$ 1.95
$ 0.08
$ 0.01
$ 0.76
$
$ 9.81
3,300-9,999
$ 0.23
$ 1.52
$ 3.79
$ 0.16
$ 0.72
$ 1.79
$ 0.08
$ 0.01
$ 0.70
$ 0.00
$ 9.02
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.35
$ 5.21
$ 0.07
$ 0.03
$ 2.51
$ 0.01
$ 22.78
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.09
$ 1.34
$ 0.02
$ 0.01
$ 0.75
$ 0.00
$ 5.97
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.08
$ 1.66
$ 0.02
$ 0.01
$ 1.01
$ 0.01
$ 7.37
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.01
$ 0.28
$ 0.00
$ 0.00
$ 0.18
$ 0.00
$ 1.29
Total
$ 1.42
$ 9.15
$ 40.86
$ 1.00
$ 4.25
$ 17.71
$ 0.46
$ 0.09
$ 7.51
$ 0.02
$ 82.48
Rule Alternative A3 UV90-10B
<100
$ 0.20
$ 1.80
$ 4.37
$ 0.13
$ 0.85
$ 2.13
$ 0.07
$ 0.01
$ 0.65
$ 0.00
$ 10.20
100-499
$ 0.24
$ 1.99
$ 4.82
$ 0.16
$ 0.96
$ 2.38
$ 0.08
$ 0.01
$ 0.59
$
$ 11.22
500-999
$ 0.12
$ 0.83
$ 2.01
$ 0.08
$ 0.39
$ 0.97
$ 0.04
$ 0.00
$ 0.37
$
$ 4.82
1,000-3,299
$ 0.25
$ 1.66
$ 4.13
$ 0.17
$ 0.79
$ 1.95
$ 0.08
$ 0.01
$ 0.76
$
$ 9.81
3,300-9,999
$ 0.23
$ 1.52
$ 3.79
$ 0.16
$ 0.72
$ 1.79
$ 0.08
$ 0.01
$ 0.71
$ 0.00
$ 9.02
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.35
$ 5.16
$ 0.07
$ 0.03
$ 2.56
$ 0.01
$ 22.79
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.09
$ 1.32
$ 0.02
$ 0.01
$ 0.77
$ 0.00
$ 5.97
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.08
$ 1.65
$ 0.02
$ 0.01
$ 1.03
$ 0.01
$ 7.38
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.01
$ 0.28
$ 0.00
$ 0.00
$ 0.19
$ 0.00
$ 1.29
Total
$ 1.42
$ 9.15
$ 40.86
$ 1.00
$ 4.24
$ 17.64
$ 0.46
$ 0.09
$ 7.61
$ 0.02
$ 82.49
Rule Alternative A4
<100
$ 0.20
$ 1.80
$ 3.78
$ 0.13
$ 0.88
$ 1.92
$ 0.07
$ 0.00
$ 0.37
$ 0.00
$ 9.16
100-499
$ 0.24
$ 1.99
$ 4.18
$ 0.16
$ 0.99
$ 2.13
$ 0.08
$ 0.00
$ 0.37
$
$ 10.14
500-999
$ 0.12
$ 0.83
$ 1.75
$ 0.08
$ 0.40
$ 0.87
$ 0.04
$ 0.00
$ 0.27
$
$ 4.37
1,000-3,299
$ 0.25
$ 1.66
$ 3.60
$ 0.17
$ 0.84
$ 1.81
$ 0.09
$ 0.00
$ 0.33
$
$ 8.76
3,300-9,999
$ 0.23
$ 1.52
$ 3.31
$ 0.16
$ 0.77
$ 1.65
$ 0.08
$ 0.00
$ 0.32
$ 0.00
$ 8.05
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.43
$ 6.40
$ 0.08
$ 0.01
$ 1.19
$ 0.01
$ 22.74
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.11
$ 1.64
$ 0.02
$ 0.00
$ 0.36
$ 0.00
$ 5.90
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.10
$ 2.04
$ 0.03
$ 0.01
$ 0.46
$ 0.01
$ 7.22
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.02
$ 0.35
$ 0.01
$ 0.00
$ 0.09
$ 0.00
$ 1.26
Total
$ 1.42
$ 9.15
$ 38.35
$ 1.00
$ 4.55
$ 18.80
$ 0.51
$ 0.05
$ 3.75
$ 0.02
$ 77.59
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.14c: Implementation and Monitoring - PV, 7% (ICR, High)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reseivoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.20
$
$
$
$
$
$
$ 0.01
$ 1.05
$ 0.00
$ 1.26
100-499
$ 0.24
$
$
$
$
$
$
$ 0.01
$ 0.98
$
$ 1.23
500-999
$ 0.12
$
$
$
$
$
$
$ 0.01
$ 0.56
$
$ 0.69
1,000-3,299
$ 0.25
$
$
$
$
$
$
$ 0.08
$ 6.45
$
$ 6.78
3,300-9,999
$ 0.23
$
$
$
$
$
$
$ 0.07
$ 6.04
$ 0.00
$ 6.35
10,000-49,999
$ 0.24
$
$
$
$
$
$
$ 0.10
$ 8.25
$ 0.01
$ 8.59
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.03
$ 2.46
$ 0.00
$ 2.55
100,000-999,99E
$ 0.07
$
$
$
$
$
$
$ 0.04
$ 3.39
$ 0.01
$ 3.51
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.59
$ 0.00
$ 0.60
Total
$ 1.42
$
$
$
$
$
$
$ 0.36
$ 29.76
$ 0.02
$ 31.56
Rule Alternative A2
<100
$ 0.20
$ 1.80
$ 13.48
$ 0.13
$ 0.80
$ 6.19
$ 0.06
$ 0.01
$ 1.02
$ 0.00
$ 23.70
100-499
$ 0.24
$ 1.99
$ 14.82
$ 0.16
$ 0.90
$ 6.94
$ 0.07
$ 0.01
$ 0.95
$
$ 26.08
500-999
$ 0.12
$ 0.83
$ 6.15
$ 0.08
$ 0.37
$ 2.83
$ 0.04
$ 0.01
$ 0.55
$
$ 10.98
1,000-3,299
$ 0.25
$ 1.66
$ 12.44
$ 0.17
$ 0.64
$ 4.90
$ 0.07
$ 0.02
$ 1.94
$
$ 22.09
3,300-9,999
$ 0.23
$ 1.52
$ 11.41
$ 0.16
$ 0.59
$ 4.50
$ 0.06
$ 0.02
$ 1.80
$ 0.00
$ 20.30
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.30
$ 4.46
$ 0.06
$ 0.04
$ 3.32
$ 0.01
$ 22.81
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.08
$ 1.15
$ 0.02
$ 0.01
$ 0.99
$ 0.00
$ 6.01
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.07
$ 1.43
$ 0.02
$ 0.02
$ 1.35
$ 0.01
$ 7.47
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.01
$ 0.24
$ 0.00
$ 0.00
$ 0.24
$ 0.00
$ 1.31
Total
$ 1.42
$ 9.15
$ 80.03
$ 1.00
$ 3.76
$ 32.64
$ 0.40
$ 0.15
$ 12.17
$ 0.02
$ 140.74
Rule Alternative A3
<100
$ 0.20
$ 1.80
$ 5.25
$ 0.13
$ 0.83
$ 2.51
$ 0.06
$ 0.01
$ 0.76
$ 0.00
$ 11.57
100-499
$ 0.24
$ 1.99
$ 5.80
$ 0.16
$ 0.94
$ 2.82
$ 0.08
$ 0.01
$ 0.70
$
$ 12.72
500-999
$ 0.12
$ 0.83
$ 2.42
$ 0.08
$ 0.38
$ 1.15
$ 0.04
$ 0.01
$ 0.42
$
$ 5.45
1,000-3,299
$ 0.25
$ 1.66
$ 4.94
$ 0.17
$ 0.76
$ 2.27
$ 0.08
$ 0.01
$ 0.97
$
$ 11.12
3,300-9,999
$ 0.23
$ 1.52
$ 4.54
$ 0.16
$ 0.70
$ 2.09
$ 0.08
$ 0.01
$ 0.89
$ 0.00
$ 10.22
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.32
$ 4.77
$ 0.06
$ 0.04
$ 2.99
$ 0.01
$ 22.80
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.08
$ 1.22
$ 0.02
$ 0.01
$ 0.89
$ 0.00
$ 5.99
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.07
$ 1.53
$ 0.02
$ 0.01
$ 1.20
$ 0.01
$ 7.43
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.01
$ 0.26
$ 0.00
$ 0.00
$ 0.22
$ 0.00
$ 1.30
Total
$ 1.42
$ 9.15
$ 44.68
$ 1.00
$ 4.11
$ 18.62
$ 0.44
$ 0.11
$ 9.05
$ 0.02
$ 88.60
Rule Alternative A3 UV90-10B
<100
$ 0.20
$ 1.80
$ 5.25
$ 0.13
$ 0.83
$ 2.51
$ 0.06
$ 0.01
$ 0.76
$ 0.00
$ 11.57
100-499
$ 0.24
$ 1.99
$ 5.80
$ 0.16
$ 0.94
$ 2.82
$ 0.08
$ 0.01
$ 0.70
$
$ 12.72
500-999
$ 0.12
$ 0.83
$ 2.42
$ 0.08
$ 0.38
$ 1.15
$ 0.04
$ 0.01
$ 0.42
$
$ 5.45
1,000-3,299
$ 0.25
$ 1.66
$ 4.94
$ 0.17
$ 0.76
$ 2.27
$ 0.08
$ 0.01
$ 0.97
$
$ 11.12
3,300-9,999
$ 0.23
$ 1.52
$ 4.54
$ 0.16
$ 0.70
$ 2.08
$ 0.08
$ 0.01
$ 0.90
$ 0.00
$ 10.22
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.32
$ 4.72
$ 0.06
$ 0.04
$ 3.05
$ 0.01
$ 22.80
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.08
$ 1.21
$ 0.02
$ 0.01
$ 0.91
$ 0.00
$ 5.99
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.07
$ 1.51
$ 0.02
$ 0.01
$ 1.23
$ 0.01
$ 7.43
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.01
$ 0.26
$ 0.00
$ 0.00
$ 0.22
$ 0.00
$ 1.30
Total
$ 1.42
$ 9.15
$ 44.68
$ 1.00
$ 4.11
$ 18.53
$ 0.44
$ 0.11
$ 9.17
$ 0.02
$ 88.62
Rule Alternative A4
<100
$ 0.20
$ 1.80
$ 4.58
$ 0.13
$ 0.88
$ 2.32
$ 0.07
$ 0.00
$ 0.38
$ 0.00
$ 10.36
100-499
$ 0.24
$ 1.99
$ 5.06
$ 0.16
$ 0.99
$ 2.57
$ 0.08
$ 0.00
$ 0.39
$
$ 11.47
500-999
$ 0.12
$ 0.83
$ 2.11
$ 0.08
$ 0.40
$ 1.04
$ 0.04
$ 0.00
$ 0.28
$
$ 4.92
1,000-3,299
$ 0.25
$ 1.66
$ 4.33
$ 0.17
$ 0.84
$ 2.18
$ 0.09
$ 0.00
$ 0.36
$
$ 9.88
3,300-9,999
$ 0.23
$ 1.52
$ 3.97
$ 0.16
$ 0.77
$ 1.99
$ 0.08
$ 0.00
$ 0.34
$ 0.00
$ 9.08
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.42
$ 6.15
$ 0.08
$ 0.02
$ 1.46
$ 0.01
$ 22.75
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.11
$ 1.57
$ 0.02
$ 0.01
$ 0.44
$ 0.00
$ 5.91
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.10
$ 1.96
$ 0.03
$ 0.01
$ 0.57
$ 0.01
$ 7.25
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.02
$ 0.33
$ 0.00
$ 0.00
$ 0.11
$ 0.00
$ 1.27
Total
$ 1.42
$ 9.15
$ 41.77
$ 1.00
$ 4.51
$ 20.13
$ 0.50
$ 0.05
$ 4.34
$ 0.02
$ 82.88
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.14d: Implementation and Monitoring - PV, 7% (ICRSSM, Mean)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reseivoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.20
$
$
$
$
$
$
$ 0.01
$ 1.05
$ 0.00
$ 1.26
100-499
$ 0.24
$
$
$
$
$
$
$ 0.01
$ 0.98
$
$ 1.23
500-999
$ 0.12
$
$
$
$
$
$
$ 0.01
$ 0.56
$
$ 0.69
1,000-3,299
$ 0.25
$
$
$
$
$
$
$ 0.08
$ 6.45
$
$ 6.78
3,300-9,999
$ 0.23
$
$
$
$
$
$
$ 0.07
$ 6.04
$ 0.00
$ 6.35
10,000-49,999
$ 0.24
$
$
$
$
$
$
$ 0.10
$ 8.25
$ 0.01
$ 8.59
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.03
$ 2.46
$ 0.00
$ 2.55
100,000-999,99E
$ 0.07
$
$
$
$
$
$
$ 0.04
$ 3.39
$ 0.01
$ 3.51
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.59
$ 0.00
$ 0.60
Total
$ 1.42
$
$
$
$
$
$
$ 0.36
$ 29.76
$ 0.02
$ 31.56
Rule Alternative A2
<100
$ 0.20
$ 1.80
$ 13.48
$ 0.13
$ 0.85
$ 6.55
$ 0.07
$ 0.01
$ 0.66
$ 0.00
$ 23.75
100-499
$ 0.24
$ 1.99
$ 14.82
$ 0.16
$ 0.95
$ 7.34
$ 0.08
$ 0.01
$ 0.61
$
$ 26.19
500-999
$ 0.12
$ 0.83
$ 6.15
$ 0.08
$ 0.39
$ 2.99
$ 0.04
$ 0.00
$ 0.37
$
$ 10.99
1,000-3,299
$ 0.25
$ 1.66
$ 12.44
$ 0.17
$ 0.72
$ 5.55
$ 0.08
$ 0.02
$ 1.26
$
$ 22.15
3,300-9,999
$ 0.23
$ 1.52
$ 11.41
$ 0.16
$ 0.67
$ 5.09
$ 0.07
$ 0.01
$ 1.18
$ 0.00
$ 20.35
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.35
$ 5.22
$ 0.07
$ 0.03
$ 2.50
$ 0.01
$ 22.79
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.09
$ 1.34
$ 0.02
$ 0.01
$ 0.75
$ 0.00
$ 5.97
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.08
$ 1.67
$ 0.02
$ 0.01
$ 1.00
$ 0.01
$ 7.37
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.01
$ 0.28
$ 0.00
$ 0.00
$ 0.18
$ 0.00
$ 1.29
Total
$ 1.42
$ 9.15
$ 80.03
$ 1.00
$ 4.12
$ 36.03
$ 0.45
$ 0.10
$ 8.52
$ 0.02
$ 140.84
Rule Alternative A3
<100
$ 0.20
$ 1.80
$ 3.67
$ 0.13
$ 0.86
$ 1.82
$ 0.07
$ 0.01
$ 0.54
$ 0.00
$ 9.10
100-499
$ 0.24
$ 1.99
$ 4.06
$ 0.16
$ 0.97
$ 2.03
$ 0.08
$ 0.01
$ 0.49
$
$ 10.02
500-999
$ 0.12
$ 0.83
$ 1.70
$ 0.08
$ 0.40
$ 0.83
$ 0.04
$ 0.00
$ 0.31
$
$ 4.32
1,000-3,299
$ 0.25
$ 1.66
$ 3.50
$ 0.17
$ 0.82
$ 1.71
$ 0.09
$ 0.01
$ 0.50
$
$ 8.70
3,300-9,999
$ 0.23
$ 1.52
$ 3.21
$ 0.16
$ 0.75
$ 1.57
$ 0.08
$ 0.01
$ 0.46
$ 0.00
$ 8.00
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.38
$ 5.56
$ 0.07
$ 0.03
$ 2.12
$ 0.01
$ 22.77
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.10
$ 1.43
$ 0.02
$ 0.01
$ 0.64
$ 0.00
$ 5.95
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.09
$ 1.77
$ 0.03
$ 0.01
$ 0.85
$ 0.01
$ 7.33
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.01
$ 0.30
$ 0.00
$ 0.00
$ 0.16
$ 0.00
$ 1.28
Total
$ 1.42
$ 9.15
$ 37.88
$ 1.00
$ 4.38
$ 17.02
$ 0.48
$ 0.07
$ 6.05
$ 0.02
$ 77.47
Rule Alternative A3 UV90-10B
<100
$ 0.20
$ 1.80
$ 3.67
$ 0.13
$ 0.86
$ 1.82
$ 0.07
$ 0.01
$ 0.54
$ 0.00
$ 9.10
100-499
$ 0.24
$ 1.99
$ 4.06
$ 0.16
$ 0.97
$ 2.03
$ 0.08
$ 0.01
$ 0.49
$
$ 10.02
500-999
$ 0.12
$ 0.83
$ 1.70
$ 0.08
$ 0.40
$ 0.83
$ 0.04
$ 0.00
$ 0.31
$
$ 4.32
1,000-3,299
$ 0.25
$ 1.66
$ 3.50
$ 0.17
$ 0.82
$ 1.71
$ 0.09
$ 0.01
$ 0.50
$
$ 8.70
3,300-9,999
$ 0.23
$ 1.52
$ 3.21
$ 0.16
$ 0.75
$ 1.57
$ 0.08
$ 0.01
$ 0.46
$ 0.00
$ 8.00
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.37
$ 5.53
$ 0.07
$ 0.03
$ 2.15
$ 0.01
$ 22.78
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.10
$ 1.42
$ 0.02
$ 0.01
$ 0.64
$ 0.00
$ 5.95
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.09
$ 1.77
$ 0.03
$ 0.01
$ 0.86
$ 0.01
$ 7.33
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.01
$ 0.30
$ 0.00
$ 0.00
$ 0.16
$ 0.00
$ 1.28
Total
$ 1.42
$ 9.15
$ 37.88
$ 1.00
$ 4.38
$ 16.98
$ 0.48
$ 0.07
$ 6.11
$ 0.02
$ 77.48
Rule Alternative A4
<100
$ 0.20
$ 1.80
$ 2.91
$ 0.13
$ 0.88
$ 1.46
$ 0.07
$ 0.01
$ 0.43
$ 0.00
$ 7.88
100-499
$ 0.24
$ 1.99
$ 3.22
$ 0.16
$ 0.99
$ 1.63
$ 0.08
$ 0.00
$ 0.38
$
$ 8.69
500-999
$ 0.12
$ 0.83
$ 1.35
$ 0.08
$ 0.40
$ 0.67
$ 0.04
$ 0.00
$ 0.26
$
$ 3.76
1,000-3,299
$ 0.25
$ 1.66
$ 2.80
$ 0.17
$ 0.85
$ 1.39
$ 0.09
$ 0.00
$ 0.30
$
$ 7.52
3,300-9,999
$ 0.23
$ 1.52
$ 2.57
$ 0.16
$ 0.78
$ 1.28
$ 0.08
$ 0.00
$ 0.29
$ 0.00
$ 6.91
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.45
$ 6.70
$ 0.09
$ 0.01
$ 0.85
$ 0.01
$ 22.73
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.12
$ 1.72
$ 0.02
$ 0.00
$ 0.26
$ 0.00
$ 5.88
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.10
$ 2.13
$ 0.03
$ 0.00
$ 0.33
$ 0.01
$ 7.18
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.00
$ 0.07
$ 0.00
$ 1.26
Total
$ 1.42
$ 9.15
$ 34.58
$ 1.00
$ 4.58
$ 17.35
$ 0.51
$ 0.04
$ 3.17
$ 0.02
$ 71.81
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.14e: Implementation and Monitoring - PV, 7% (ICRSSM, Low)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reseivoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.20
$
$
$
$
$
$
$ 0.01
$ 1.05
$ 0.00
$ 1.26
100-499
$ 0.24
$
$
$
$
$
$
$ 0.01
$ 0.98
$
$ 1.23
500-999
$ 0.12
$
$
$
$
$
$
$ 0.01
$ 0.56
$
$ 0.69
1,000-3,299
$ 0.25
$
$
$
$
$
$
$ 0.08
$ 6.45
$
$ 6.78
3,300-9,999
$ 0.23
$
$
$
$
$
$
$ 0.07
$ 6.04
$ 0.00
$ 6.35
10,000-49,999
$ 0.24
$
$
$
$
$
$
$ 0.10
$ 8.25
$ 0.01
$ 8.59
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.03
$ 2.46
$ 0.00
$ 2.55
100,000-999,99E
$ 0.07
$
$
$
$
$
$
$ 0.04
$ 3.39
$ 0.01
$ 3.51
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.59
$ 0.00
$ 0.60
Total
$ 1.42
$
$
$
$
$
$
$ 0.36
$ 29.76
$ 0.02
$ 31.56
Rule Alternative A2
<100
$ 0.20
$ 1.80
$ 13.48
$ 0.13
$ 0.85
$ 6.60
$ 0.07
$ 0.01
$ 0.62
$ 0.00
$ 23.75
100-499
$ 0.24
$ 1.99
$ 14.82
$ 0.16
$ 0.96
$ 7.39
$ 0.08
$ 0.01
$ 0.56
$
$ 26.20
500-999
$ 0.12
$ 0.83
$ 6.15
$ 0.08
$ 0.39
$ 3.01
$ 0.04
$ 0.00
$ 0.35
$
$ 10.99
1,000-3,299
$ 0.25
$ 1.66
$ 12.44
$ 0.17
$ 0.74
$ 5.68
$ 0.08
$ 0.01
$ 1.13
$
$ 22.16
3,300-9,999
$ 0.23
$ 1.52
$ 11.41
$ 0.16
$ 0.68
$ 5.21
$ 0.07
$ 0.01
$ 1.05
$ 0.00
$ 20.35
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.37
$ 5.45
$ 0.07
$ 0.03
$ 2.24
$ 0.01
$ 22.78
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.09
$ 1.40
$ 0.02
$ 0.01
$ 0.67
$ 0.00
$ 5.95
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.08
$ 1.74
$ 0.03
$ 0.01
$ 0.90
$ 0.01
$ 7.34
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.01
$ 0.30
$ 0.00
$ 0.00
$ 0.16
$ 0.00
$ 1.29
Total
$ 1.42
$ 9.15
$ 80.03
$ 1.00
$ 4.19
$ 36.77
$ 0.46
$ 0.09
$ 7.69
$ 0.02
$ 140.82
Rule Alternative A3
<100
$ 0.20
$ 1.80
$ 3.24
$ 0.13
$ 0.87
$ 1.61
$ 0.07
$ 0.01
$ 0.51
$ 0.00
$ 8.43
100-499
$ 0.24
$ 1.99
$ 3.59
$ 0.16
$ 0.98
$ 1.80
$ 0.08
$ 0.01
$ 0.46
$
$ 9.29
500-999
$ 0.12
$ 0.83
$ 1.50
$ 0.08
$ 0.40
$ 0.74
$ 0.04
$ 0.00
$ 0.30
$
$ 4.01
1,000-3,299
$ 0.25
$ 1.66
$ 3.11
$ 0.17
$ 0.83
$ 1.52
$ 0.09
$ 0.01
$ 0.43
$
$ 8.07
3,300-9,999
$ 0.23
$ 1.52
$ 2.85
$ 0.16
$ 0.76
$ 1.40
$ 0.08
$ 0.01
$ 0.40
$ 0.00
$ 7.42
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.39
$ 5.77
$ 0.08
$ 0.02
$ 1.89
$ 0.01
$ 22.77
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.10
$ 1.48
$ 0.02
$ 0.01
$ 0.57
$ 0.00
$ 5.94
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.09
$ 1.84
$ 0.03
$ 0.01
$ 0.75
$ 0.01
$ 7.30
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.02
$ 0.31
$ 0.00
$ 0.00
$ 0.14
$ 0.00
$ 1.28
Total
$ 1.42
$ 9.15
$ 36.02
$ 1.00
$ 4.43
$ 16.47
$ 0.49
$ 0.07
$ 5.45
$ 0.02
$ 74.50
Rule Alternative A3 UV90-10B
<100
$ 0.20
$ 1.80
$ 3.24
$ 0.13
$ 0.87
$ 1.61
$ 0.07
$ 0.01
$ 0.51
$ 0.00
$ 8.43
100-499
$ 0.24
$ 1.99
$ 3.59
$ 0.16
$ 0.98
$ 1.80
$ 0.08
$ 0.01
$ 0.46
$
$ 9.29
500-999
$ 0.12
$ 0.83
$ 1.50
$ 0.08
$ 0.40
$ 0.74
$ 0.04
$ 0.00
$ 0.30
$
$ 4.01
1,000-3,299
$ 0.25
$ 1.66
$ 3.11
$ 0.17
$ 0.83
$ 1.52
$ 0.09
$ 0.01
$ 0.43
$
$ 8.07
3,300-9,999
$ 0.23
$ 1.52
$ 2.85
$ 0.16
$ 0.76
$ 1.40
$ 0.08
$ 0.01
$ 0.41
$ 0.00
$ 7.42
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.39
$ 5.74
$ 0.08
$ 0.02
$ 1.92
$ 0.01
$ 22.77
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.10
$ 1.47
$ 0.02
$ 0.01
$ 0.58
$ 0.00
$ 5.94
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.09
$ 1.83
$ 0.03
$ 0.01
$ 0.76
$ 0.01
$ 7.31
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.02
$ 0.31
$ 0.00
$ 0.00
$ 0.14
$ 0.00
$ 1.28
Total
$ 1.42
$ 9.15
$ 36.02
$ 1.00
$ 4.43
$ 16.43
$ 0.49
$ 0.07
$ 5.50
$ 0.02
$ 74.51
Rule Alternative A4
<100
$ 0.20
$ 1.80
$ 2.55
$ 0.13
$ 0.88
$ 1.29
$ 0.07
$ 0.01
$ 0.42
$ 0.00
$ 7.34
100-499
$ 0.24
$ 1.99
$ 2.83
$ 0.16
$ 0.99
$ 1.44
$ 0.08
$ 0.00
$ 0.37
$
$ 8.09
500-999
$ 0.12
$ 0.83
$ 1.19
$ 0.08
$ 0.41
$ 0.59
$ 0.04
$ 0.00
$ 0.25
$
$ 3.52
1,000-3,299
$ 0.25
$ 1.66
$ 2.48
$ 0.17
$ 0.85
$ 1.23
$ 0.09
$ 0.00
$ 0.29
$
$ 7.02
3,300-9,999
$ 0.23
$ 1.52
$ 2.28
$ 0.16
$ 0.78
$ 1.12
$ 0.08
$ 0.00
$ 0.28
$ 0.00
$ 6.46
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.46
$ 6.79
$ 0.09
$ 0.01
$ 0.75
$ 0.01
$ 22.72
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.12
$ 1.74
$ 0.02
$ 0.00
$ 0.23
$ 0.00
$ 5.88
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.11
$ 2.16
$ 0.03
$ 0.00
$ 0.29
$ 0.01
$ 7.17
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.02
$ 0.37
$ 0.01
$ 0.00
$ 0.06
$ 0.00
$ 1.26
Total
$ 1.42
$ 9.15
$ 33.06
$ 1.00
$ 4.60
$ 16.72
$ 0.52
$ 0.04
$ 2.94
$ 0.02
$ 69.45
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.14f: Implementation and Monitoring - PV, 7% (ICRSSM, High)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reseivoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.20
$
$
$
$
$
$
$ 0.01
$ 1.05
$ 0.00
$ 1.26
100-499
$ 0.24
$
$
$
$
$
$
$ 0.01
$ 0.98
$
$ 1.23
500-999
$ 0.12
$
$
$
$
$
$
$ 0.01
$ 0.56
$
$ 0.69
1,000-3,299
$ 0.25
$
$
$
$
$
$
$ 0.08
$ 6.45
$
$ 6.78
3,300-9,999
$ 0.23
$
$
$
$
$
$
$ 0.07
$ 6.04
$ 0.00
$ 6.35
10,000-49,999
$ 0.24
$
$
$
$
$
$
$ 0.10
$ 8.25
$ 0.01
$ 8.59
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.03
$ 2.46
$ 0.00
$ 2.55
100,000-999,99E
$ 0.07
$
$
$
$
$
$
$ 0.04
$ 3.39
$ 0.01
$ 3.51
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.59
$ 0.00
$ 0.60
Total
$ 1.42
$
$
$
$
$
$
$ 0.36
$ 29.76
$ 0.02
$ 31.56
Rule Alternative A2
<100
$ 0.20
$ 1.80
$ 13.48
$ 0.13
$ 0.84
$ 6.49
$ 0.06
$ 0.01
$ 0.72
$ 0.00
$ 23.74
100-499
$ 0.24
$ 1.99
$ 14.82
$ 0.16
$ 0.94
$ 7.27
$ 0.08
$ 0.01
$ 0.67
$
$ 26.17
500-999
$ 0.12
$ 0.83
$ 6.15
$ 0.08
$ 0.39
$ 2.96
$ 0.04
$ 0.01
$ 0.40
$
$ 10.99
1,000-3,299
$ 0.25
$ 1.66
$ 12.44
$ 0.17
$ 0.71
$ 5.43
$ 0.08
$ 0.02
$ 1.39
$
$ 22.14
3,300-9,999
$ 0.23
$ 1.52
$ 11.41
$ 0.16
$ 0.65
$ 4.98
$ 0.07
$ 0.02
$ 1.29
$ 0.00
$ 20.34
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.34
$ 5.01
$ 0.07
$ 0.03
$ 2.72
$ 0.01
$ 22.79
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.09
$ 1.29
$ 0.02
$ 0.01
$ 0.81
$ 0.00
$ 5.98
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.08
$ 1.60
$ 0.02
$ 0.01
$ 1.09
$ 0.01
$ 7.40
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.01
$ 0.27
$ 0.00
$ 0.00
$ 0.20
$ 0.00
$ 1.29
Total
$ 1.42
$ 9.15
$ 80.03
$ 1.00
$ 4.05
$ 35.31
$ 0.44
$ 0.11
$ 9.30
$ 0.02
$ 140.84
Rule Alternative A3
<100
$ 0.20
$ 1.80
$ 4.04
$ 0.13
$ 0.86
$ 1.99
$ 0.07
$ 0.01
$ 0.57
$ 0.00
$ 9.66
100-499
$ 0.24
$ 1.99
$ 4.46
$ 0.16
$ 0.97
$ 2.23
$ 0.08
$ 0.01
$ 0.51
$
$ 10.64
500-999
$ 0.12
$ 0.83
$ 1.86
$ 0.08
$ 0.40
$ 0.91
$ 0.04
$ 0.00
$ 0.33
$
$ 4.58
1,000-3,299
$ 0.25
$ 1.66
$ 3.84
$ 0.17
$ 0.81
$ 1.87
$ 0.09
$ 0.01
$ 0.55
$
$ 9.24
3,300-9,999
$ 0.23
$ 1.52
$ 3.52
$ 0.16
$ 0.75
$ 1.71
$ 0.08
$ 0.01
$ 0.51
$ 0.00
$ 8.49
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.36
$ 5.38
$ 0.07
$ 0.03
$ 2.31
$ 0.01
$ 22.78
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.09
$ 1.38
$ 0.02
$ 0.01
$ 0.69
$ 0.00
$ 5.96
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.08
$ 1.72
$ 0.03
$ 0.01
$ 0.93
$ 0.01
$ 7.35
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.01
$ 0.29
$ 0.00
$ 0.00
$ 0.17
$ 0.00
$ 1.29
Total
$ 1.42
$ 9.15
$ 39.45
$ 1.00
$ 4.34
$ 17.49
$ 0.47
$ 0.08
$ 6.56
$ 0.02
$ 79.98
Rule Alternative A3 UV90-10B
<100
$ 0.20
$ 1.80
$ 4.04
$ 0.13
$ 0.86
$ 1.99
$ 0.07
$ 0.01
$ 0.57
$ 0.00
$ 9.66
100-499
$ 0.24
$ 1.99
$ 4.46
$ 0.16
$ 0.97
$ 2.23
$ 0.08
$ 0.01
$ 0.51
$
$ 10.64
500-999
$ 0.12
$ 0.83
$ 1.86
$ 0.08
$ 0.40
$ 0.91
$ 0.04
$ 0.00
$ 0.33
$
$ 4.58
1,000-3,299
$ 0.25
$ 1.66
$ 3.84
$ 0.17
$ 0.81
$ 1.87
$ 0.09
$ 0.01
$ 0.55
$
$ 9.24
3,300-9,999
$ 0.23
$ 1.52
$ 3.52
$ 0.16
$ 0.75
$ 1.71
$ 0.08
$ 0.01
$ 0.51
$ 0.00
$ 8.49
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.36
$ 5.35
$ 0.07
$ 0.03
$ 2.35
$ 0.01
$ 22.78
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.09
$ 1.37
$ 0.02
$ 0.01
$ 0.70
$ 0.00
$ 5.96
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.08
$ 1.71
$ 0.03
$ 0.01
$ 0.94
$ 0.01
$ 7.35
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.01
$ 0.29
$ 0.00
$ 0.00
$ 0.17
$ 0.00
$ 1.29
Total
$ 1.42
$ 9.15
$ 39.45
$ 1.00
$ 4.34
$ 17.43
$ 0.47
$ 0.08
$ 6.63
$ 0.02
$ 79.99
Rule Alternative A4
<100
$ 0.20
$ 1.80
$ 3.23
$ 0.13
$ 0.88
$ 1.62
$ 0.07
$ 0.01
$ 0.44
$ 0.00
$ 8.37
100-499
$ 0.24
$ 1.99
$ 3.57
$ 0.16
$ 0.99
$ 1.81
$ 0.08
$ 0.00
$ 0.39
$
$ 9.23
500-999
$ 0.12
$ 0.83
$ 1.50
$ 0.08
$ 0.40
$ 0.74
$ 0.04
$ 0.00
$ 0.27
$
$ 3.99
1,000-3,299
$ 0.25
$ 1.66
$ 3.10
$ 0.17
$ 0.84
$ 1.54
$ 0.09
$ 0.00
$ 0.31
$
$ 7.97
3,300-9,999
$ 0.23
$ 1.52
$ 2.84
$ 0.16
$ 0.77
$ 1.42
$ 0.08
$ 0.00
$ 0.30
$ 0.00
$ 7.33
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.45
$ 6.62
$ 0.09
$ 0.01
$ 0.94
$ 0.01
$ 22.73
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.11
$ 1.70
$ 0.02
$ 0.00
$ 0.29
$ 0.00
$ 5.89
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.10
$ 2.11
$ 0.03
$ 0.00
$ 0.36
$ 0.01
$ 7.19
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.00
$ 0.07
$ 0.00
$ 1.26
Total
$ 1.42
$ 9.15
$ 35.97
$ 1.00
$ 4.57
$ 17.92
$ 0.51
$ 0.04
$ 3.38
$ 0.02
$ 73.97
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.14g: Implementation and Monitoring - PV, 7% (ICRSSL, Mean)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reseivoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.20
$
$
$
$
$
$
$ 0.01
$ 1.05
$ 0.00
$ 1.26
100-499
$ 0.24
$
$
$
$
$
$
$ 0.01
$ 0.98
$
$ 1.23
500-999
$ 0.12
$
$
$
$
$
$
$ 0.01
$ 0.56
$
$ 0.69
1,000-3,299
$ 0.25
$
$
$
$
$
$
$ 0.08
$ 6.45
$
$ 6.78
3,300-9,999
$ 0.23
$
$
$
$
$
$
$ 0.07
$ 6.04
$ 0.00
$ 6.35
10,000-49,999
$ 0.24
$
$
$
$
$
$
$ 0.10
$ 8.25
$ 0.01
$ 8.59
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.03
$ 2.46
$ 0.00
$ 2.55
100,000-999,99E
$ 0.07
$
$
$
$
$
$
$ 0.04
$ 3.39
$ 0.01
$ 3.51
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.59
$ 0.00
$ 0.60
Total
$ 1.42
$
$
$
$
$
$
$ 0.36
$ 29.76
$ 0.02
$ 31.56
Rule Alternative A2
<100
$ 0.20
$ 1.80
$ 13.48
$ 0.13
$ 0.86
$ 6.62
$ 0.07
$ 0.01
$ 0.60
$ 0.00
$ 23.76
100-499
$ 0.24
$ 1.99
$ 14.82
$ 0.16
$ 0.96
$ 7.41
$ 0.08
$ 0.01
$ 0.54
$
$ 26.21
500-999
$ 0.12
$ 0.83
$ 6.15
$ 0.08
$ 0.39
$ 3.02
$ 0.04
$ 0.00
$ 0.34
$
$ 10.99
1,000-3,299
$ 0.25
$ 1.66
$ 12.44
$ 0.17
$ 0.75
$ 5.77
$ 0.08
$ 0.01
$ 1.03
$
$ 22.17
3,300-9,999
$ 0.23
$ 1.52
$ 11.41
$ 0.16
$ 0.69
$ 5.30
$ 0.07
$ 0.01
$ 0.96
$ 0.00
$ 20.36
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.37
$ 5.50
$ 0.07
$ 0.03
$ 2.19
$ 0.01
$ 22.78
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.10
$ 1.41
$ 0.02
$ 0.01
$ 0.66
$ 0.00
$ 5.95
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.09
$ 1.76
$ 0.03
$ 0.01
$ 0.87
$ 0.01
$ 7.34
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.01
$ 0.30
$ 0.00
$ 0.00
$ 0.16
$ 0.00
$ 1.28
Total
$ 1.42
$ 9.15
$ 80.03
$ 1.00
$ 4.23
$ 37.09
$ 0.46
$ 0.09
$ 7.35
$ 0.02
$ 140.84
Rule Alternative A3
<100
$ 0.20
$ 1.80
$ 3.02
$ 0.13
$ 0.87
$ 1.51
$ 0.07
$ 0.01
$ 0.49
$ 0.00
$ 8.09
100-499
$ 0.24
$ 1.99
$ 3.35
$ 0.16
$ 0.98
$ 1.68
$ 0.08
$ 0.01
$ 0.44
$
$ 8.91
500-999
$ 0.12
$ 0.83
$ 1.40
$ 0.08
$ 0.40
$ 0.69
$ 0.04
$ 0.00
$ 0.29
$
$ 3.86
1,000-3,299
$ 0.25
$ 1.66
$ 2.91
$ 0.17
$ 0.83
$ 1.43
$ 0.09
$ 0.00
$ 0.39
$
$ 7.74
3,300-9,999
$ 0.23
$ 1.52
$ 2.67
$ 0.16
$ 0.77
$ 1.31
$ 0.08
$ 0.00
$ 0.36
$ 0.00
$ 7.11
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.40
$ 5.87
$ 0.08
$ 0.02
$ 1.77
$ 0.01
$ 22.76
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.10
$ 1.51
$ 0.02
$ 0.01
$ 0.53
$ 0.00
$ 5.93
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.09
$ 1.87
$ 0.03
$ 0.01
$ 0.71
$ 0.01
$ 7.29
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.02
$ 0.32
$ 0.00
$ 0.00
$ 0.13
$ 0.00
$ 1.28
Total
$ 1.42
$ 9.15
$ 35.08
$ 1.00
$ 4.46
$ 16.18
$ 0.49
$ 0.06
$ 5.12
$ 0.02
$ 72.97
Rule Alternative A3 UV90-10B
<100
$ 0.20
$ 1.80
$ 3.02
$ 0.13
$ 0.87
$ 1.51
$ 0.07
$ 0.01
$ 0.49
$ 0.00
$ 8.09
100-499
$ 0.24
$ 1.99
$ 3.35
$ 0.16
$ 0.98
$ 1.68
$ 0.08
$ 0.01
$ 0.44
$
$ 8.91
500-999
$ 0.12
$ 0.83
$ 1.40
$ 0.08
$ 0.40
$ 0.69
$ 0.04
$ 0.00
$ 0.29
$
$ 3.86
1,000-3,299
$ 0.25
$ 1.66
$ 2.91
$ 0.17
$ 0.83
$ 1.43
$ 0.09
$ 0.00
$ 0.39
$
$ 7.74
3,300-9,999
$ 0.23
$ 1.52
$ 2.67
$ 0.16
$ 0.77
$ 1.31
$ 0.08
$ 0.00
$ 0.37
$ 0.00
$ 7.12
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.40
$ 5.85
$ 0.08
$ 0.02
$ 1.80
$ 0.01
$ 22.76
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.10
$ 1.50
$ 0.02
$ 0.01
$ 0.54
$ 0.00
$ 5.93
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.09
$ 1.87
$ 0.03
$ 0.01
$ 0.72
$ 0.01
$ 7.29
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.02
$ 0.32
$ 0.00
$ 0.00
$ 0.13
$ 0.00
$ 1.28
Total
$ 1.42
$ 9.15
$ 35.08
$ 1.00
$ 4.45
$ 16.15
$ 0.49
$ 0.06
$ 5.16
$ 0.02
$ 72.98
Rule Alternative A4
<100
$ 0.20
$ 1.80
$ 2.17
$ 0.13
$ 0.88
$ 1.09
$ 0.07
$ 0.00
$ 0.40
$ 0.00
$ 6.74
100-499
$ 0.24
$ 1.99
$ 2.41
$ 0.16
$ 0.99
$ 1.22
$ 0.08
$ 0.00
$ 0.35
$
$ 7.44
500-999
$ 0.12
$ 0.83
$ 1.01
$ 0.08
$ 0.41
$ 0.50
$ 0.04
$ 0.00
$ 0.25
$
$ 3.24
1,000-3,299
$ 0.25
$ 1.66
$ 2.13
$ 0.17
$ 0.85
$ 1.04
$ 0.09
$ 0.00
$ 0.28
$
$ 6.47
3,300-9,999
$ 0.23
$ 1.52
$ 1.95
$ 0.16
$ 0.78
$ 0.95
$ 0.08
$ 0.00
$ 0.26
$ 0.00
$ 5.95
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.47
$ 6.89
$ 0.09
$ 0.01
$ 0.65
$ 0.01
$ 22.72
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.12
$ 1.77
$ 0.02
$ 0.00
$ 0.20
$ 0.00
$ 5.87
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.11
$ 2.19
$ 0.03
$ 0.00
$ 0.25
$ 0.01
$ 7.16
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.02
$ 0.37
$ 0.01
$ 0.00
$ 0.05
$ 0.00
$ 1.25
Total
$ 1.42
$ 9.15
$ 31.39
$ 1.00
$ 4.62
$ 16.02
$ 0.52
$ 0.03
$ 2.69
$ 0.02
$ 66.85
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.14h: Implementation and Monitoring - PV, 7% (ICRSSL, Low)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reseivoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.20
$
$
$
$
$
$
$ 0.01
$ 1.05
$ 0.00
$ 1.26
100-499
$ 0.24
$
$
$
$
$
$
$ 0.01
$ 0.98
$
$ 1.23
500-999
$ 0.12
$
$
$
$
$
$
$ 0.01
$ 0.56
$
$ 0.69
1,000-3,299
$ 0.25
$
$
$
$
$
$
$ 0.08
$ 6.45
$
$ 6.78
3,300-9,999
$ 0.23
$
$
$
$
$
$
$ 0.07
$ 6.04
$ 0.00
$ 6.35
10,000-49,999
$ 0.24
$
$
$
$
$
$
$ 0.10
$ 8.25
$ 0.01
$ 8.59
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.03
$ 2.46
$ 0.00
$ 2.55
100,000-999,99E
$ 0.07
$
$
$
$
$
$
$ 0.04
$ 3.39
$ 0.01
$ 3.51
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.59
$ 0.00
$ 0.60
Total
$ 1.42
$
$
$
$
$
$
$ 0.36
$ 29.76
$ 0.02
$ 31.56
Rule Alternative A2
<100
$ 0.20
$ 1.80
$ 13.48
$ 0.13
$ 0.86
$ 6.67
$ 0.07
$ 0.01
$ 0.55
$ 0.00
$ 23.76
100-499
$ 0.24
$ 1.99
$ 14.82
$ 0.16
$ 0.97
$ 7.47
$ 0.08
$ 0.01
$ 0.49
$
$ 26.22
500-999
$ 0.12
$ 0.83
$ 6.15
$ 0.08
$ 0.40
$ 3.05
$ 0.04
$ 0.00
$ 0.32
$
$ 10.99
1,000-3,299
$ 0.25
$ 1.66
$ 12.44
$ 0.17
$ 0.78
$ 5.95
$ 0.08
$ 0.01
$ 0.84
$
$ 22.19
3,300-9,999
$ 0.23
$ 1.52
$ 11.41
$ 0.16
$ 0.71
$ 5.46
$ 0.08
$ 0.01
$ 0.79
$ 0.00
$ 20.37
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.39
$ 5.82
$ 0.08
$ 0.02
$ 1.83
$ 0.01
$ 22.76
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.10
$ 1.49
$ 0.02
$ 0.01
$ 0.55
$ 0.00
$ 5.93
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.09
$ 1.86
$ 0.03
$ 0.01
$ 0.73
$ 0.01
$ 7.29
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.02
$ 0.32
$ 0.00
$ 0.00
$ 0.14
$ 0.00
$ 1.28
Total
$ 1.42
$ 9.15
$ 80.03
$ 1.00
$ 4.32
$ 38.09
$ 0.48
$ 0.08
$ 6.23
$ 0.02
$ 140.81
Rule Alternative A3
<100
$ 0.20
$ 1.80
$ 2.39
$ 0.13
$ 0.87
$ 1.20
$ 0.07
$ 0.01
$ 0.45
$ 0.00
$ 7.12
100-499
$ 0.24
$ 1.99
$ 2.65
$ 0.16
$ 0.98
$ 1.34
$ 0.08
$ 0.01
$ 0.41
$
$ 7.84
500-999
$ 0.12
$ 0.83
$ 1.11
$ 0.08
$ 0.40
$ 0.55
$ 0.04
$ 0.00
$ 0.27
$
$ 3.42
1,000-3,299
$ 0.25
$ 1.66
$ 2.33
$ 0.17
$ 0.84
$ 1.14
$ 0.09
$ 0.00
$ 0.34
$
$ 6.82
3,300-9,999
$ 0.23
$ 1.52
$ 2.14
$ 0.16
$ 0.77
$ 1.04
$ 0.08
$ 0.00
$ 0.32
$ 0.00
$ 6.28
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.42
$ 6.17
$ 0.08
$ 0.02
$ 1.44
$ 0.01
$ 22.75
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.11
$ 1.58
$ 0.02
$ 0.01
$ 0.43
$ 0.00
$ 5.91
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.10
$ 1.96
$ 0.03
$ 0.01
$ 0.57
$ 0.01
$ 7.25
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.02
$ 0.33
$ 0.00
$ 0.00
$ 0.11
$ 0.00
$ 1.27
Total
$ 1.42
$ 9.15
$ 32.36
$ 1.00
$ 4.51
$ 15.31
$ 0.50
$ 0.05
$ 4.35
$ 0.02
$ 68.66
Rule Alternative A3 UV90-10B
<100
$ 0.20
$ 1.80
$ 2.39
$ 0.13
$ 0.87
$ 1.20
$ 0.07
$ 0.01
$ 0.45
$ 0.00
$ 7.12
100-499
$ 0.24
$ 1.99
$ 2.65
$ 0.16
$ 0.98
$ 1.34
$ 0.08
$ 0.01
$ 0.41
$
$ 7.84
500-999
$ 0.12
$ 0.83
$ 1.11
$ 0.08
$ 0.40
$ 0.55
$ 0.04
$ 0.00
$ 0.27
$
$ 3.42
1,000-3,299
$ 0.25
$ 1.66
$ 2.33
$ 0.17
$ 0.84
$ 1.14
$ 0.09
$ 0.00
$ 0.34
$
$ 6.82
3,300-9,999
$ 0.23
$ 1.52
$ 2.14
$ 0.16
$ 0.77
$ 1.04
$ 0.08
$ 0.00
$ 0.32
$ 0.00
$ 6.28
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.42
$ 6.15
$ 0.08
$ 0.02
$ 1.46
$ 0.01
$ 22.75
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.11
$ 1.58
$ 0.02
$ 0.01
$ 0.44
$ 0.00
$ 5.91
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.10
$ 1.96
$ 0.03
$ 0.01
$ 0.58
$ 0.01
$ 7.25
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.02
$ 0.33
$ 0.00
$ 0.00
$ 0.11
$ 0.00
$ 1.27
Total
$ 1.42
$ 9.15
$ 32.36
$ 1.00
$ 4.51
$ 15.28
$ 0.50
$ 0.05
$ 4.38
$ 0.02
$ 68.67
Rule Alternative A4
<100
$ 0.20
$ 1.80
$ 1.68
$ 0.13
$ 0.88
$ 0.85
$ 0.07
$ 0.00
$ 0.38
$ 0.00
$ 5.99
100-499
$ 0.24
$ 1.99
$ 1.87
$ 0.16
$ 0.99
$ 0.95
$ 0.08
$ 0.00
$ 0.34
$
$ 6.61
500-999
$ 0.12
$ 0.83
$ 0.79
$ 0.08
$ 0.41
$ 0.39
$ 0.04
$ 0.00
$ 0.24
$
$ 2.90
1,000-3,299
$ 0.25
$ 1.66
$ 1.68
$ 0.17
$ 0.85
$ 0.81
$ 0.09
$ 0.00
$ 0.26
$
$ 5.77
3,300-9,999
$ 0.23
$ 1.52
$ 1.54
$ 0.16
$ 0.78
$ 0.74
$ 0.08
$ 0.00
$ 0.25
$ 0.00
$ 5.32
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.47
$ 6.98
$ 0.09
$ 0.01
$ 0.54
$ 0.01
$ 22.72
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.12
$ 1.79
$ 0.02
$ 0.00
$ 0.17
$ 0.00
$ 5.87
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.11
$ 2.22
$ 0.03
$ 0.00
$ 0.21
$ 0.01
$ 7.15
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.02
$ 0.38
$ 0.01
$ 0.00
$ 0.05
$ 0.00
$ 1.25
Total
$ 1.42
$ 9.15
$ 29.29
$ 1.00
$ 4.64
$ 15.09
$ 0.52
$ 0.03
$ 2.43
$ 0.02
$ 63.58
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.14i: Implementation and Monitoring -PV, 7%(ICRSSL, High)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reseivoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.20
$
$
$
$
$
$
$ 0.01
$ 1.05
$ 0.00
$ 1.26
100-499
$ 0.24
$
$
$
$
$
$
$ 0.01
$ 0.98
$
$ 1.23
500-999
$ 0.12
$
$
$
$
$
$
$ 0.01
$ 0.56
$
$ 0.69
1,000-3,299
$ 0.25
$
$
$
$
$
$
$ 0.08
$ 6.45
$
$ 6.78
3,300-9,999
$ 0.23
$
$
$
$
$
$
$ 0.07
$ 6.04
$ 0.00
$ 6.35
10,000-49,999
$ 0.24
$
$
$
$
$
$
$ 0.10
$ 8.25
$ 0.01
$ 8.59
50,000-99,999
$ 0.06
$
$
$
$
$
$
$ 0.03
$ 2.46
$ 0.00
$ 2.55
100,000-999,99E
$ 0.07
$
$
$
$
$
$
$ 0.04
$ 3.39
$ 0.01
$ 3.51
1,000,000+
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.59
$ 0.00
$ 0.60
Total
$ 1.42
$
$
$
$
$
$
$ 0.36
$ 29.76
$ 0.02
$ 31.56
Rule Alternative A2
<100
$ 0.20
$ 1.80
$ 13.48
$ 0.13
$ 0.85
$ 6.57
$ 0.07
$ 0.01
$ 0.64
$ 0.00
$ 23.75
100-499
$ 0.24
$ 1.99
$ 14.82
$ 0.16
$ 0.96
$ 7.36
$ 0.08
$ 0.01
$ 0.59
$
$ 26.19
500-999
$ 0.12
$ 0.83
$ 6.15
$ 0.08
$ 0.39
$ 3.00
$ 0.04
$ 0.00
$ 0.36
$
$ 10.99
1,000-3,299
$ 0.25
$ 1.66
$ 12.44
$ 0.17
$ 0.74
$ 5.64
$ 0.08
$ 0.01
$ 1.17
$
$ 22.16
3,300-9,999
$ 0.23
$ 1.52
$ 11.41
$ 0.16
$ 0.68
$ 5.17
$ 0.07
$ 0.01
$ 1.09
$ 0.00
$ 20.35
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.35
$ 5.24
$ 0.07
$ 0.03
$ 2.47
$ 0.01
$ 22.79
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.09
$ 1.34
$ 0.02
$ 0.01
$ 0.74
$ 0.00
$ 5.96
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.08
$ 1.68
$ 0.03
$ 0.01
$ 0.99
$ 0.01
$ 7.37
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.01
$ 0.29
$ 0.00
$ 0.00
$ 0.18
$ 0.00
$ 1.29
Total
$ 1.42
$ 9.15
$ 80.03
$ 1.00
$ 4.15
$ 36.30
$ 0.45
$ 0.10
$ 8.23
$ 0.02
$ 140.85
Rule Alternative A3
<100
$ 0.20
$ 1.80
$ 3.45
$ 0.13
$ 0.87
$ 1.71
$ 0.07
$ 0.01
$ 0.52
$ 0.00
$ 8.75
100-499
$ 0.24
$ 1.99
$ 3.82
$ 0.16
$ 0.97
$ 1.92
$ 0.08
$ 0.01
$ 0.46
$
$ 9.64
500-999
$ 0.12
$ 0.83
$ 1.60
$ 0.08
$ 0.40
$ 0.78
$ 0.04
$ 0.00
$ 0.30
$
$ 4.16
1,000-3,299
$ 0.25
$ 1.66
$ 3.30
$ 0.17
$ 0.83
$ 1.62
$ 0.09
$ 0.01
$ 0.43
$
$ 8.36
3,300-9,999
$ 0.23
$ 1.52
$ 3.03
$ 0.16
$ 0.76
$ 1.49
$ 0.08
$ 0.01
$ 0.40
$ 0.00
$ 7.68
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.38
$ 5.67
$ 0.07
$ 0.02
$ 2.00
$ 0.01
$ 22.77
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.10
$ 1.45
$ 0.02
$ 0.01
$ 0.60
$ 0.00
$ 5.94
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.09
$ 1.81
$ 0.03
$ 0.01
$ 0.80
$ 0.01
$ 7.31
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.02
$ 0.31
$ 0.00
$ 0.00
$ 0.15
$ 0.00
$ 1.28
Total
$ 1.42
$ 9.15
$ 36.93
$ 1.00
$ 4.42
$ 16.77
$ 0.48
$ 0.07
$ 5.66
$ 0.02
$ 75.91
Rule Alternative A3 UV90-10B
<100
$ 0.20
$ 1.80
$ 3.45
$ 0.13
$ 0.87
$ 1.71
$ 0.07
$ 0.01
$ 0.52
$ 0.00
$ 8.75
100-499
$ 0.24
$ 1.99
$ 3.82
$ 0.16
$ 0.97
$ 1.92
$ 0.08
$ 0.01
$ 0.46
$
$ 9.64
500-999
$ 0.12
$ 0.83
$ 1.60
$ 0.08
$ 0.40
$ 0.78
$ 0.04
$ 0.00
$ 0.30
$
$ 4.16
1,000-3,299
$ 0.25
$ 1.66
$ 3.30
$ 0.17
$ 0.83
$ 1.62
$ 0.09
$ 0.01
$ 0.43
$
$ 8.36
3,300-9,999
$ 0.23
$ 1.52
$ 3.03
$ 0.16
$ 0.76
$ 1.49
$ 0.08
$ 0.01
$ 0.40
$ 0.00
$ 7.69
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.38
$ 5.64
$ 0.07
$ 0.02
$ 2.03
$ 0.01
$ 22.77
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.10
$ 1.45
$ 0.02
$ 0.01
$ 0.61
$ 0.00
$ 5.94
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.09
$ 1.80
$ 0.03
$ 0.01
$ 0.81
$ 0.01
$ 7.32
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.01
$ 0.31
$ 0.00
$ 0.00
$ 0.15
$ 0.00
$ 1.28
Total
$ 1.42
$ 9.15
$ 36.93
$ 1.00
$ 4.41
$ 16.72
$ 0.48
$ 0.07
$ 5.71
$ 0.02
$ 75.92
Rule Alternative A4
<100
$ 0.20
$ 1.80
$ 2.60
$ 0.13
$ 0.88
$ 1.31
$ 0.07
$ 0.01
$ 0.42
$ 0.00
$ 7.41
100-499
$ 0.24
$ 1.99
$ 2.88
$ 0.16
$ 0.99
$ 1.46
$ 0.08
$ 0.00
$ 0.37
$
$ 8.17
500-999
$ 0.12
$ 0.83
$ 1.21
$ 0.08
$ 0.41
$ 0.60
$ 0.04
$ 0.00
$ 0.25
$
$ 3.55
1,000-3,299
$ 0.25
$ 1.66
$ 2.52
$ 0.17
$ 0.85
$ 1.25
$ 0.09
$ 0.00
$ 0.29
$
$ 7.08
3,300-9,999
$ 0.23
$ 1.52
$ 2.31
$ 0.16
$ 0.78
$ 1.14
$ 0.08
$ 0.00
$ 0.28
$ 0.00
$ 6.51
10,000-49,999
$ 0.24
$ 0.89
$ 13.31
$ 0.17
$ 0.46
$ 6.79
$ 0.09
$ 0.01
$ 0.75
$ 0.01
$ 22.72
50,000-99,999
$ 0.06
$ 0.23
$ 3.43
$ 0.04
$ 0.12
$ 1.74
$ 0.02
$ 0.00
$ 0.23
$ 0.00
$ 5.88
100,000-999,99E
$ 0.07
$ 0.20
$ 4.24
$ 0.06
$ 0.11
$ 2.16
$ 0.03
$ 0.00
$ 0.29
$ 0.01
$ 7.17
1,000,000+
$ 0.01
$ 0.03
$ 0.75
$ 0.01
$ 0.02
$ 0.37
$ 0.01
$ 0.00
$ 0.06
$ 0.00
$ 1.26
Total
$ 1.42
$ 9.15
$ 33.25
$ 1.00
$ 4.60
$ 16.82
$ 0.52
$ 0.04
$ 2.94
$ 0.02
$ 69.74
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.15a: Treatment Uncertainty - PV, 7% (ICR)
Size Category
Filtered Treatment Capital
Filtered Treatment O&M
Unfiltered Treatment Capital
Unfiltered Treatment O&M
Uncovered Reservoirs Capital
Uncovered Reservoirs O&M
Total
bth Percentile
Mean
95th
bth Percentile
Mean
95th
5th
Mean
5th
Mean
95th
5th
Mean
5th
Mean
95th
5th Percentile
Mean
95th
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
0
R
S
T
U
Rule Alternative A1
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
Total
$ 8.38
$ 9.99
$ 11.60
$ 8.69
$ 9.35
$ 10.01
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 17.10
$ 19.38
$ 21.65
$ 12.54
$ 14.79
$ 17.04
$ 14.93
$ 16.19
$ 17.44
$ 0.04
$ 0.05
$ 0.06
$ 0.09
$ 0.10
$ 0.11
$ -
$ -
$ -
$ -
$ -
$ -
$ 27.60
$ 31.13
$ 34.65
$ 8.54
$ 10.03
$ 11.51
$ 14.25
$ 15.63
$ 16.97
$ 0.11
$ 0.13
$ 0.15
$ 0.17
$ 0.15
$ 0.19
$ -
$ -
$ -
$ -
$ -
$ -
$ 23.11
$ 25.97
$ 25.53
$ 45.21
$ 54.68
$ 64.08
$ 50.41
$ 55.29
$ 60.15
$ 0.88
$ 1.03
$ 1.18
$ 0.93
$ 1.00
$ 1.07
$
$
$
$
$
$
$ 97.43
$ 112.00
$ 126.48
$ 139.28
$ 170.35
$ 201.27
$ 72.75
$ 75.99
$ 85.30
$ 2.52
$ 2.99
$ 3.45
$ 1.24
$ 1.35
$ 1.45
$ 0.12
$ 0.12
$ 0.12
$ 0.04
$ 0.04
$ 0.04
$ 215.96
$ 253.54
$ 291.63
$ 521.94
$ 595.97
$ 670.25
$ 262.13
$ 277.97
$ 293.91
$ 4.50
$ 5.31
$ 6.12
$ 2.38
$ 2.56
$ 2.74
$ 8.40
$ 8.40
$ 8.40
$ 2.84
$ 2.84
$ 2.84
$ 802.19
$ 893.05
$ 984.26
$ 352.95
$ 405.02
$ 456.86
$ 148.14
$ 156.93
$ 165.57
$ 3.97
$ 4.73
$ 5.49
$ 1.65
$ 1.75
$ 1.91
$ 2.16
$ 2.16
$ 2.16
$ 1.16
$ 1.16
$ 1.16
$ 510.04
$ 571.79
$ 633.45
$ 1,086.33
$1,239.06
$1,391.63
$ 519.72
$ 550.45
$ 581.59
$ 12.44
$ 14.72
$ 17.02
$ 6.87
$ 7.44
$ 8.00
$ 82.40
$ 82.40
$ 82.40
$ 32.81
$ 32.81
$ 32.81
$ 1,740.56
$1,926.88
$2,113.46
$ 485.02
$ 552.72
$ 620.41
$ 295.62
$ 312.59
$ 330.34
$ 246.57
$ 310.50
$ 373.94
$ 5.72
$ 9.74
$ 10.74
$ 16.44
$ 16.44
$ 16.44
$ 6.06
$ 6.06
$ 6.06
$ 1,055.73
$1,205.65
$1,357.94
$ 2,660.20
$3,052.62
$3,444.64
$ 1,386.67
$1,473.70
$1,561.58
$ 271.35
$ 339.76
$ 407.43
$ 22.06
$ 24.16
$ 26.24
$ 109.53
$ 109.53
$ 109.53
$ 42.93
$ 42.93
$ 42.93
$ 4,492.72
$5,042.69
$5,592.34
Kule Alternative /¦
2
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
Total
$ 3.91
$ 4.68
$ 5.90
$ 4.03
$ 4.71
$ 5.70
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 7.98
$ 9.43
$ 11.64
$ 5.80
$ 7.02
$ S.S4
$ 5.83
$ 6.74
$ 5.12
$ 0.04
$ 0.05
$ 0.06
$ 0.09
$ 0.10
$ 0.11
$ -
$ -
$ -
$ -
$ -
$ -
$ 11.76
$ 13.90
$ 17.12
$ 3.97
$ 4.83
$ 6.08
$ 4.44
$ 5.11
$ 6.13
$ 0.11
$ 0.13
$ 0.15
$ 0.17
$ 0.18
$ 0.19
$ -
$ -
$ -
$ -
$ -
$ -
$ 8.69
$ 10.24
$ 12.56
$ 16.02
$ 19.57
$ 25.46
$ 15.20
$ 17.53
$ 21.25
$ 0.55
$ 1.03
$ 1.18
$ 0.93
$ 1.00
$ 1.07
$ -
$ -
$ -
$ -
$ -
$ -
$ 33.03
$ 39.43
$ 45.99
$ 45.44
$ 56.90
$ 73.48
$ 25.73
$ 29.19
$ 35.12
$ 2.52
$ 2.99
$ 3.45
$ 1.24
$ 1.35
$ 1.45
$ 0.12
$ 0.12
$ 0.12
$ 0.04
$ 0.04
$ 0.04
$ 75.11
$ 90.58
$ 113.66
$ 163.14
$ 19874
$ 253.1S
$ 79.69
$ 59.74
$ 107.25
$ 4.50
$ 5.31
$ 6.12
$ 2.35
$ 2.56
$ 2.74
$ 8.40
$ 8.40
$ 8.40
$ 2.84
$ 2.84
$ 2.84
$ 260.95
$ 307.55
$ 380.56
$ 109.29
$ 134.62
$ 172.80
$ 41.73
$ 47.16
$ 56.22
$ 3.97
$ 4.73
$ 5.49
$ 1.65
$ 1.78
$ 1.91
$ 2.16
$ 2.16
$ 2.16
$ 1.16
$ 1.16
$ 1.16
$ 159.97
$ 191.61
$ 239.75
$ 327.54
$ 401.60
$ 512.16
$ 135.93
$ 154.40
$ 183.85
$ 12.44
$ 14.72
$ 17.02
$ 6.57
$ 7.44
$ 5.00
$ 82.40
$ 82.40
$ 82.40
$ 32.81
$ 32.81
$ 32.81
$ 597.95
$ 693.37
$ 536.25
$ 145.04
$ 177.62
$ 226.26
$ 74.91
$ 85.43
$ 101.74
$ 246.87
$ 310.80
$ 373.94
$ 8.72
$ 9.74
$ 10.74
$ 16.44
$ 16.44
$ 16.44
$ 6.06
$ 6.06
$ 6.06
$ 498.04
$ 606.09
$ 735.19
$ 820.15
$1,005.57
$ 1,254.17
$ 357.45
$ 440.00
$ 525.44
$ 271.35
$ 339.76
$ 407.43
$ 22.06
$ 24.16
$ 26.24
$ 109.53
$ 109.53
$ 109.53
$ 42.93
$ 42.93
$ 42.93
$ 1,653.49
$1,962.24
$2,395.72
Rule Alternative A3
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
Total
$ 2.90
$ 3.67
$ 4.63
$ 2.70
$ 3.27
$ 3.92
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 5.64
$ 6.97
$ 5.59
$ 4.07
$ 5.15
$ 6.46
$ 3.70
$ 4.47
$ 5.33
$ 0.04
$ 0.05
$ 0.06
$ 0.09
$ 0.10
$ 0.11
$ -
$ -
$ -
$ -
$ -
$ -
$ 7.90
$ 9.76
$ 11.96
$ 2.74
$ 3.4S
$ 4.37
$ 2.53
$ 3.06
$ 3.63
$ 0.11
$ 0.13
$ 0.15
$ 0.17
$ 0.15
$ 0.19
$ -
$ -
$ -
$ -
$ -
$ -
$ 5.55
$ 6.85
$ 5.34
$ 10.15
$ 13.04
$ 16.40
$ 8.99
$ 10.83
$ 12.92
$ 0.88
$ 1.03
$ 1.18
$ 0.93
$ 1.00
$ 1.07
$
$
$
$
$
$
$ 20.94
$ 25.91
$ 31.57
$ 27.53
$ 35.69
$ 45.11
$ 17.47
$ 20.70
$ 24.65
$ 2.52
$ 2.99
$ 3.45
$ 1.24
$ 1.35
$ 1.45
$ 0.12
$ 0.12
$ 0.12
$ 0.04
$ 0.04
$ 0.04
$ 45.93
$ 60.59
$ 74.55
$ 133.23
$ 167.49
$ 211.84
$ 60.33
$ 70.44
$ 83.43
$ 4.50
$ 5.31
$ 6.12
$ 2.38
$ 2.56
$ 2.74
$ 8.40
$ 8.40
$ 8.40
$ 2.84
$ 2.84
$ 2.84
$ 211.68
$ 257.03
$ 315.38
$ 89.00
$ 113.39
$ 144.75
$ 29.55
$ 34.75
$ 41.06
$ 3.97
$ 4.73
$ 5.49
$ 1.65
$ 1.75
$ 1.91
$ 2.16
$ 2.16
$ 2.16
$ 1.16
$ 1.16
$ 1.16
$ 127.50
$ 158.01
$ 196.56
$ 260.90
$ 331.19
$ 420.32
$ 93.00
$ 110.25
$ 129.88
$ 12.44
$ 14.72
$ 17.02
$ 6.87
$ 7.44
$ 8.00
$ 82.40
$ 82.40
$ 82.40
$ 32.81
$ 32.81
$ 32.81
$ 488.41
$ 578.80
$ 690.45
$ 113.49
$ 144.21
$ 152.95
$ 51.23
$ 60.94
$ 71.77
$ 246.57
$ 310.50
$ 373.94
$ 5.72
$ 9.74
$ 10.74
$ 16.44
$ 16.44
$ 16.44
$ 6.06
$ 6.06
$ 6.06
$ 442.50
$ 548.19
$ 661.93
$ 644.00
$ 817.30
$1,036.90
$ 269.49
$ 318.74
$ 376.60
$ 271.35
$ 339.76
$ 407.43
$ 22.06
$ 24.16
$ 26.24
$ 109.53
$ 109.53
$ 109.53
$ 42.93
$ 42.93
$ 42.93
$ 1,359.34
$1,652.41
$1,999.62
Kule Alternative /¦
3 UV90-10B
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
Total
$ 2.90
$ 3.67
$ 4.63
$ 2.70
$ 3.27
$ 3.92
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 5.64
$ 6.97
$ 8.59
$ 4.07
$ 5.15
$ 6.46
$ 3.70
$ 4.47
$ 5.33
$ 0.04
$ 0.05
$ 0.06
$ 0.09
$ 0.10
$ 0.11
$ -
$ -
$ -
$ -
$ -
$ -
$ 7.90
$ 9.76
$ 11.96
$ 2.74
$ 3.48
$ 4.37
$ 2.53
$ 3.06
$ 3.63
$ 0.11
$ 0.13
$ 0.15
$ 0.17
$ 0.18
$ 0.19
$ -
$ -
$ -
$ -
$ -
$ -
$ 5.55
$ 6.85
$ 8.34
$ 10.15
$ 13.05
$ 16.41
$ 8.98
$ 10.83
$ 12.91
$ 0.88
$ 1.03
$ 1.18
$ 0.93
$ 1.00
$ 1.07
$ -
$ -
$ -
$ -
$ -
$ -
$ 20.95
$ 25.91
$ 31.58
$ 27.99
$ 36.21
$ 45.77
$ 17.61
$ 20.87
$ 24.86
$ 2.52
$ 2.99
$ 3.45
$ 1.24
$ 1.35
$ 1.45
$ 0.12
$ 0.12
$ 0.12
$ 0.04
$ 0.04
$ 0.04
$ 49.54
$ 61.57
$ 75.69
$ 147.58
$ 184.99
$ 233.23
$ 66.07
$ 77.31
$ 91.72
$ 4.50
$ 5.31
$ 6.12
$ 2.38
$ 2.56
$ 2.74
$ 8.40
$ 8.40
$ 8.40
$ 2.84
$ 2.84
$ 2.84
$ 231.77
$ 281.41
$ 345.05
$ 100.39
$ 127.08
$ 160.97
$ 34.29
$ 40.61
$ 48.20
$ 3.97
$ 4.73
$ 5.49
$ 1.65
$ 1.78
$ 1.91
$ 2.16
$ 2.16
$ 2.16
$ 1.16
$ 1.16
$ 1.16
$ 143.63
$ 177.52
$ 219.90
$ 303.36
$ 382.92
$ 482.77
$ 114.56
$ 136.54
$ 162.01
$ 12.44
$ 14.72
$ 17.02
$ 6.87
$ 7.44
$ 8.00
$ 82.40
$ 82.40
$ 82.40
$ 32.81
$ 32.81
$ 32.81
$ 552.44
$ 656.82
$ 785.01
$ 136.87
$ 173.12
$ 218.15
$ 63.77
$ 76.25
$ 90.59
$ 246.87
$ 310.80
$ 373.94
$ 8.72
$ 9.74
$ 10.74
$ 16.44
$ 16.44
$ 16.44
$ 6.06
$ 6.06
$ 6.06
$ 478.73
$ 592.40
$ 715.92
$ 736.05
$ 929.67
$1,172.77
$ 314.22
$ 373.19
$ 443.15
$ 271.35
$ 339.76
$ 407.43
$ 22.06
$ 24.16
$ 26.24
$ 109.53
$ 109.53
$ 109.53
$ 42.93
$ 42.93
$ 42.93
$ 1,496.13
$1,819.23
$2,202.04
Rule Alternative A4
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$ 1.63
$ 2.15
$ 2.80
$ 1.40
$ 1.66
$ 1.98
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 3.06
$ 3.84
$ 4.83
$ 2.18
$ 2.81
$ 3.62
$ 1.84
$ 2.18
$ 2.61
$ 0.04
$ 0.05
$ 0.06
$ 0.09
$ 0.10
$ 0.11
$ -
$ -
$ -
$ -
$ -
$ -
$ 4.15
$ 5.14
$ 6.40
$ 1.44
$ 1.85
$ 2.36
$ 1.13
$ 1.34
$ 1.60
$ 0.11
$ 0.13
$ 0.15
$ 0.17
$ 0.18
$ 0.19
$ -
$ -
$ -
$ -
$ -
$ -
$ 2.85
$ 3.50
$ 4.31
$ 4.75
$ 6.16
$ 7.94
$ 4.32
$ 5.12
$ 6.15
$ 0.88
$ 1.03
$ 1.18
$ 0.93
$ 1.00
$ 1.07
$ -
$ -
$ -
$ -
$ -
$ -
$ 10.88
$ 13.31
$ 16.34
$ 12.69
$ 16.53
$ 21.40
$ 9.27
$ 11.15
$ 13.55
$ 2.52
$ 2.99
$ 3.45
$ 1.24
$ 1.35
$ 1.45
$ 0.12
$ 0.12
$ 0.12
$ 0.04
$ 0.04
$ 0.04
$ 25.89
$ 32.17
$ 40.01
$ 53.63
$ 70.90
$ 91.02
$ 27.74
$ 32.95
$ 39.23
$ 4.50
$ 5.31
$ 6.12
$ 2.38
$ 2.56
$ 2.74
$ 8.40
$ 8.40
$ 8.40
$ 2.84
$ 2.84
$ 2.84
$ 99.49
$ 122.95
$ 150.35
$ 35.66
$ 47.78
$ 61.95
$ 12.86
$ 15.21
$ 18.06
$ 3.97
$ 4.73
$ 5.49
$ 1.65
$ 1.78
$ 1.91
$ 2.16
$ 2.16
$ 2.16
$ 1.16
$ 1.16
$ 1.16
$ 57.46
$ 72.83
$ 90.74
$ 100.80
$ 134.04
$ 172.79
$ 35.25
$ 41.92
$ 49.74
$ 12.44
$ 14.72
$ 17.02
$ 6.87
$ 7.44
$ 8.00
$ 82.40
$ 82.40
$ 82.40
$ 32.81
$ 32.81
$ 32.81
$ 270.56
$ 313.33
$ 362.77
$ 43.18
$ 57.46
$ 74.12
$ 17.48
$ 20.97
$ 24.95
$ 246.87
$ 310.80
$ 373.94
$ 8.72
$ 9.74
$ 10.74
$ 16.44
$ 16.44
$ 16.44
$ 6.06
$ 6.06
$ 6.06
$ 338.74
$ 421.47
$ 506.26
Total
$ 255.95
$ 339.67
$ 438.00
$ 111.28
$ 132.50
$ 157.89
$ 271.35
$ 339.76
$ 407.43
$ 22.06
$ 24.16
$ 26.24
$ 109.53
$ 109.53
$ 109.53
$ 42.93
$ 42.93
$ 42.93
$ 813.08
$ 988.55
$1,182.01
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.15b: Treatment Uncertainty -PV, 7% (ICRSSM^
Size Category
Filtered Treatment Capital
Filtered Treatment O&M
Unfiltered Treatment Capital
Unfiltered Treatment O&M
Uncovered Reservoirs Capital
Uncovered Reservoirs O&M
Total
bth Percentile
Mean
95th
bth Percentile
Mean
95th
5th
Mean
5th
Mean
95th
5th
Mean
5th
Mean
95th
5th Percentile
Mean
95th
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
O
R
S
T
U
Rule Alternative A1
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
Total
$ 8.38
$ 9.99
$ 11.60
$ 8.69
$ 9.35
$ 10.01
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 17.10
$ 19.38
$ 21.65
$ 12.54
$ 14.79
$ 17.04
$ 14.93
$ 16.19
$ 17.44
$ 0.04
$ 0.05
$ 0.06
$ 0.09
$ 0.10
$ 0.11
$ -
$ -
$ -
$ -
$ -
$ -
$ 27.60
$ 31.13
$ 34.65
$ 8.54
$ 10.03
$ 11.51
$ 14.2S
$ 15.63
$ 16.97
$ 0.11
$ 0.13
$ 0.15
$ 0.17
$ 0.1S
$ 0.19
$ -
$ -
$ -
$ -
$ -
$ -
$ 23.11
$ 25.97
$ 25.53
$ 45.21
$ 54.68
$ 64.08
$ 50.41
$ 55.29
$ 60.15
$ 0.88
$ 1.03
$ 1.18
$ 0.93
$ 1.00
$ 1.07
$
$
$
$
$
$
$ 97.43
$ 112.00
$ 126.45
$ 139.28
$ 170.35
$ 201.27
$ 72.75
$ 7S.99
$ 85.30
$ 2.52
$ 2.99
$ 3.45
$ 1.24
$ 1.35
$ 1.45
$ 0.12
$ 0.12
$ 0.12
$ 0.04
$ 0.04
$ 0.04
$ 215.96
$ 253.54
$ 291.63
$ 521.94
$ 595.97
$ 670.25
$ 262.13
$ 277.97
$ 293.91
$ 4.50
$ 5.31
$ 6.12
$ 2.38
$ 2.56
$ 2.74
$ 8.40
$ 8.40
$ 8.40
$ 2.84
$ 2.84
$ 2.84
$ 802.19
$ 893.05
$ 954.26
$ 352.95
$ 405.02
$ 456.86
$ 148.14
$ 156.93
$ 165.S7
$ 3.97
$ 4.73
$ 5.49
$ 1.65
$ 1.7S
$ 1.91
$ 2.16
$ 2.16
$ 2.16
$ 1.16
$ 1.16
$ 1.16
$ 510.04
$ 571.79
$ 633.45
$ 1,086.33
$1,239.06
$1,391.63
$ 519.72
$ 550.45
$ 581.59
$ 12.44
$ 14.72
$ 17.02
$ 6.87
$ 7.44
$ 8.00
$ 82.40
$ 82.40
$ 82.40
$ 32.81
$ 32.81
$ 32.81
$ 1,740.56
$1,926.88
$2,113.46
$ 485.02
$ 552.72
$ 620.41
$ 295.62
$ 312.59
$ 330.34
$ 246.S7
$ 310.S0
$ 373.94
$ S.72
$ 9.74
$ 10.74
$ 16.44
$ 16.44
$ 16.44
$ 6.06
$ 6.06
$ 6.06
$ 1,055.73
$1,205.65
$1,357.94
$ 2,660.20
$3,052.62
$3,444.64
$ 1,386.67
$1,473.70
$1,561.58
$ 271.35
$ 339.76
$ 407.43
$ 22.06
$ 24.16
$ 26.24
$ 109.53
$ 109.53
$ 109.53
$ 42.93
$ 42.93
$ 42.93
$ 4,492.72
$5,042.69
$5,592.34
Kule Alternative /¦
2
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
Total
$ 3.02
$ 3.84
$ 4.73
$ 2.78
$ 3.35
$ 4.00
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 5.83
$ 7.23
$ 5.77
$ 4.24
$ 5.38
$ 6.65
$ 4.0S
$ 4.91
$ 5.80
$ 0.04
$ 0.05
$ 0.06
$ 0.09
$ 0.10
$ 0.11
$ -
$ -
$ -
$ -
$ -
$ -
$ 8.45
$ 10.44
$ 12.62
$ 2.84
$ 3.61
$ 4.47
$ 3.13
$ 3.77
$ 4.44
$ 0.11
$ 0.13
$ 0.15
$ 0.17
$ 0.18
$ 0.19
$ -
$ -
$ -
$ -
$ -
$ -
$ 6.25
$ 7.69
$ 9.25
$ 11.54
$ 14.92
$ 1S.70
$ 11.19
$ 13.54
$ 16.00
$ o.ss
$ 1.03
$ 1.18
$ 0.93
$ 1.00
$ 1.07
$ -
$ -
$ -
$ -
$ -
$ -
$ 24.54
$ 30.50
$ 36.95
$ 32.90
$ 43.04
$ 54.28
$ 19.71
$ 23.59
$ 27.62
$ 2.52
$ 2.99
$ 3.45
$ 1.24
$ 1.35
$ 1.45
$ 0.12
$ 0.12
$ 0.12
$ 0.04
$ 0.04
$ 0.04
$ 56.54
$ 71.13
$ 56.96
$ 122.51
$ 158.44
$ 196.70
$ 60.6S
$ 72.23
$ S3.91
$ 4.50
$ 5.31
$ 6.12
$ 2.3S
$ 2.56
$ 2.74
$ 8.40
$ 8.40
$ 8.40
$ 2.84
$ 2.84
$ 2.84
$ 201.31
$ 249.77
$ 300.72
$ 81.60
$ 106.86
$ 133.97
$ 30.65
$ 36.43
$ 42.36
$ 3.97
$ 4.73
$ 5.49
$ 1.65
$ 1.78
$ 1.91
$ 2.16
$ 2.16
$ 2.16
$ 1.16
$ 1.16
$ 1.16
$ 121.19
$ 153.12
$ 157.06
$ 240.40
$ 312.40
$ 390.18
$ 95.88
$ 114.17
$ 133.06
$ 12.44
$ 14.72
$ 17.02
$ 6.S7
$ 7.44
$ S.00
$ 82.40
$ 82.40
$ 82.40
$ 32.81
$ 32.81
$ 32.81
$ 470.S0
$ 563.93
$ 663.45
$ 105.52
$ 137.04
$ 171.09
$ 51.51
$ 61.52
$ 71.91
$ 246.87
$ 310.80
$ 373.94
$ 8.72
$ 9.74
$ 10.74
$ 16.44
$ 16.44
$ 16.44
$ 6.06
$ 6.06
$ 6.06
$ 435.11
$ 541.60
$ 650.19
$ 604.5/
$ Z85.53
$ 9S0.76
$ 279.60
$ 333.51
$ 3S9.10
$ 271.35
$ 339.76
$ 407.43
$ 22.06
$ 24.16
$ 26.24
$ 109.53
$ 109.53
$ 109.53
$ 42.93
$ 42.93
$ 42.93
$ 1,330.02
$1,635.41
$1,955.99
Rule Alternative A3
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
Total
$ 2.00
$ 2.69
$ 3.41
$ 1.73
$ 2.14
$ 2.54
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 3.76
$ 4.57
$ 5.95
$ 2.69
$ 3.58
$ 4.49
$ 2.32
$ 2.87
$ 3.41
$ 0.04
$ 0.05
$ 0.06
$ 0.09
$ 0.10
$ 0.11
$ -
$ -
$ -
$ -
$ -
$ -
$ 5.13
$ 6.60
$ 5.07
$ 1.79
$ 2.3S
$ 2.9S
$ 1.48
$ 1.S6
$ 2.21
$ 0.11
$ 0.13
$ 0.15
$ 0.17
$ 0.1S
$ 0.19
$ -
$ -
$ -
$ -
$ -
$ -
$ 3.56
$ 4.54
$ 5.53
$ 6.32
$ 8.46
$ 10.70
$ 5.50
$ 6.87
$ 8.20
$ 0.88
$ 1.03
$ 1.18
$ 0.93
$ 1.00
$ 1.07
$
$
$
$
$
$
$ 13.62
$ 17.36
$ 21.15
$ 16.66
$ 22.60
$ 2S.S1
$ 11.62
$ 14.47
$ 17.24
$ 2.52
$ 2.99
$ 3.45
$ 1.24
$ 1.35
$ 1.45
$ 0.12
$ 0.12
$ 0.12
$ 0.04
$ 0.04
$ 0.04
$ 32.22
$ 41.56
$ 51.11
$ 93.10
$ 123.20
$ 154.59
$ 41.22
$ 50.35
$ 59.21
$ 4.50
$ 5.31
$ 6.12
$ 2.38
$ 2.56
$ 2.74
$ 8.40
$ 8.40
$ 8.40
$ 2.84
$ 2.84
$ 2.84
$ 152.45
$ 192.66
$ 233.90
$ 61.97
$ 83.15
$ 105.38
$ 19.21
$ 23.53
$ 27.69
$ 3.97
$ 4.73
$ 5.49
$ 1.65
$ 1.7S
$ 1.91
$ 2.16
$ 2.16
$ 2.16
$ 1.16
$ 1.16
$ 1.16
$ 90.13
$ 116.52
$ 143.50
$ 178.65
$ 238.43
$ 300.98
$ 58.01
$ 71.28
$ 84.00
$ 12.44
$ 14.72
$ 17.02
$ 6.87
$ 7.44
$ 8.00
$ 82.40
$ 82.40
$ 82.40
$ 32.81
$ 32.81
$ 32.81
$ 371.17
$ 447.09
$ 525.22
$ 76.94
$ 102.S4
$ 129.90
$ 31.44
$ 3S.72
$ 45.69
$ 246.S7
$ 310.S0
$ 373.94
$ S.72
$ 9.74
$ 10.74
$ 16.44
$ 16.44
$ 16.44
$ 6.06
$ 6.06
$ 6.06
$ 3S6.47
$ 484.60
$ 552.75
$ 440.11
$ 587.34
$ 741.24
$ 172.53
$ 212.09
$ 250.19
$ 271.35
$ 339.76
$ 407.43
$ 22.06
$ 24.16
$ 26.24
$ 109.53
$ 109.53
$ 109.53
$ 42.93
$ 42.93
$ 42.93
$ 1,058.50
$1,315.81
$1,577.55
Kule Alternative /¦
3 UV90-10B
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
Total
$ 2.00
$ 2.69
$ 3.41
$ 1.73
$ 2.14
$ 2.54
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 3.76
$ 4.87
$ 5.95
$ 2.69
$ 3.58
$ 4.49
$ 2.32
$ 2.S7
$ 3.41
$ 0.04
$ 0.05
$ 0.06
$ 0.09
$ 0.10
$ 0.11
$ -
$ -
$ -
$ -
$ -
$ -
$ 5.13
$ 6.60
$ 5.07
$ 1.79
$ 2.38
$ 2.98
$ 1.48
$ 1.86
$ 2.21
$ 0.11
$ 0.13
$ 0.15
$ 0.17
$ 0.18
$ 0.19
$ -
$ -
$ -
$ -
$ -
$ -
$ 3.56
$ 4.54
$ 5.53
$ 6.32
$ 8.47
$ 10.71
$ 5.49
$ 6.87
$ 8.20
$ 0.88
$ 1.03
$ 1.18
$ 0.93
$ 1.00
$ 1.07
$ -
$ -
$ -
$ -
$ -
$ -
$ 13.62
$ 17.37
$ 21.16
$ 16.97
$ 22.97
$ 29.25
$ 11.73
$ 14.59
$ 17.38
$ 2.52
$ 2.99
$ 3.45
$ 1.24
$ 1.35
$ 1.45
$ 0.12
$ 0.12
$ 0.12
$ 0.04
$ 0.04
$ 0.04
$ 32.64
$ 42.06
$ 51.70
$ 102.01
$ 134.02
$ 167.59
$ 45.10
$ 55.02
$ 64.64
$ 4.50
$ 5.31
$ 6.12
$ 2.38
$ 2.56
$ 2.74
$ 8.40
$ 8.40
$ 8.40
$ 2.84
$ 2.84
$ 2.84
$ 165.23
$ 208.14
$ 252.34
$ 68.85
$ 91.49
$ 115.27
$ 22.29
$ 27.32
$ 32.20
$ 3.97
$ 4.73
$ 5.49
$ 1.65
$ 1.78
$ 1.91
$ 2.16
$ 2.16
$ 2.16
$ 1.16
$ 1.16
$ 1.16
$ 100.09
$ 128.65
$ 155.19
$ 203.45
$ 268.96
$ 337.55
$ 72.29
$ 88.76
$ 104.71
$ 12.44
$ 14.72
$ 17.02
$ 6.87
$ 7.44
$ 8.00
$ 82.40
$ 82.40
$ 82.40
$ 32.81
$ 32.81
$ 32.81
$ 410.26
$ 495.08
$ 552.50
$ 90.65
$ 119.79
$ 150.12
$ 39.93
$ 49.12
$ 58.06
$ 246.87
$ 310.80
$ 373.94
$ 8.72
$ 9.74
$ 10.74
$ 16.44
$ 16.44
$ 16.44
$ 6.06
$ 6.06
$ 6.06
$ 408.66
$ 511.95
$ 615.37
$ 494.72
$ 654.35
$ 821.36
$ 202.36
$ 248.55
$ 293.35
$ 271.35
$ 339.76
$ 407.43
$ 22.06
$ 24.16
$ 26.24
$ 109.53
$ 109.53
$ 109.53
$ 42.93
$ 42.93
$ 42.93
$ 1,142.94
$1,419.27
$1,700.53
Rule Alternative A4
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$ 1.02
$ 1.40
$ 1.82
$ 0.87
$ 1.08
$ 1.29
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 1.92
$ 2.52
$ 3.16
$ 1.36
$ 1.83
$ 2.36
$ 1.15
$ 1.42
$ 1.70
$ 0.04
$ 0.05
$ 0.06
$ 0.09
$ 0.10
$ 0.11
$ -
$ -
$ -
$ -
$ -
$ -
$ 2.63
$ 3.40
$ 4.22
$ 0.89
$ 1.20
$ 1.54
$ 0.71
$ 0.87
$ 1.04
$ 0.11
$ 0.13
$ 0.15
$ 0.17
$ 0.18
$ 0.19
$ -
$ -
$ -
$ -
$ -
$ -
$ 1.88
$ 2.38
$ 2.92
$ 2.92
$ 3.97
$ 5.12
$ 2.71
$ 3.35
$ 4.02
$ 0.88
$ 1.03
$ 1.18
$ 0.93
$ 1.00
$ 1.07
$ -
$ -
$ -
$ -
$ -
$ -
$ 7.43
$ 9.35
$ 11.40
$ 7.87
$ 10.73
$ 13.90
$ 5.76
$ 7.25
$ 8.81
$ 2.52
$ 2.99
$ 3.45
$ 1.24
$ 1.35
$ 1.45
$ 0.12
$ 0.12
$ 0.12
$ 0.04
$ 0.04
$ 0.04
$ 17.57
$ 22.48
$ 27.75
$ 29.44
$ 40.58
$ 52.73
$ 16.26
$ 20.13
$ 24.11
$ 4.50
$ 5.31
$ 6.12
$ 2.38
$ 2.56
$ 2.74
$ 8.40
$ 8.40
$ 8.40
$ 2.84
$ 2.84
$ 2.84
$ 63.82
$ 79.82
$ 96.94
$ 19.59
$ 27.34
$ 35.89
$ 7.57
$ 9.35
$ 11.17
$ 3.97
$ 4.73
$ 5.49
$ 1.65
$ 1.78
$ 1.91
$ 2.16
$ 2.16
$ 2.16
$ 1.16
$ 1.16
$ 1.16
$ 36.11
$ 46.52
$ 57.75
$ 54.95
$ 76.14
$ 99.41
$ 20.14
$ 24.98
$ 29.91
$ 12.44
$ 14.72
$ 17.02
$ 6.87
$ 7.44
$ 8.00
$ 82.40
$ 82.40
$ 82.40
$ 32.81
$ 32.81
$ 32.81
$ 209.61
$ 238.49
$ 269.56
$ 23.52
$ 32.61
$ 42.59
$ 9.65
$ 12.07
$ 14.53
$ 246.87
$ 310.80
$ 373.94
$ 8.72
$ 9.74
$ 10.74
$ 16.44
$ 16.44
$ 16.44
$ 6.06
$ 6.06
$ 6.06
$ 311.26
$ 387.72
$ 464.31
Total
$ 141.57
$ 195.79
$ 255.35
$ 64.81
$ 80.51
$ 96.59
$ 271.35
$ 339.76
$ 407.43
$ 22.06
$ 24.16
$ 26.24
$ 109.53
$ 109.53
$ 109.53
$ 42.93
$ 42.93
$ 42.93
$ 652.23
$ 792.67
$ 935.06
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.15c: Treatment Uncertainty - PV, 7% (ICRSSL)
Size Category
Filtered Treatment Capital
Filtered Treatment O&M
Unfiltered Treatment Capital
Unfiltered Treatment O&M
Uncovered Reservoirs Capital
Uncovered Reservoirs O&M
Total
bth Percentile
Mean
95th
bth Percentile
Mean
95th
5th
Mean
5th
Mean
95th
5th
Mean
5th
Mean
95th
5th Percentile
Mean
95th
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
O
R
S
T
U
Rule Alternative A1
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
Total
$ 8.38
$ 9.99
$ 11.60
$ 8.69
$ 9.35
$ 10.01
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 17.10
$ 19.38
$ 21.65
$ 12.54
$ 14.79
$ 17.04
$ 14.93
$ 16.19
$ 17.44
$ 0.04
$ 0.05
$ 0.06
$ 0.09
$ 0.10
$ 0.11
$ -
$ -
$ -
$ -
$ -
$ -
$ 27.60
$ 31.13
$ 34.65
$ 8.54
$ 10.03
$ 11.51
$ 14.25
$ 15.63
$ 16.97
$ 0.11
$ 0.13
$ 0.15
$ 0.17
$ 0.1S
$ 0.19
$ -
$ -
$ -
$ -
$ -
$ -
$ 23.11
$ 25.97
$ 28.83
$ 45.21
$ 54.68
$ 64.08
$ 50.41
$ 55.29
$ 60.15
$ 0.88
$ 1.03
$ 1.18
$ 0.93
$ 1.00
$ 1.07
$
$
$
$
$
$
$ 97.43
$ 112.00
$ 126.48
$ 139.28
$ 170.35
$ 201.27
$ 72.75
$ 7S.99
$ 85.30
$ 2.52
$ 2.99
$ 3.45
$ 1.24
$ 1.35
$ 1.45
$ 0.12
$ 0.12
$ 0.12
$ 0.04
$ 0.04
$ 0.04
$ 215.96
$ 253.S4
$ 291.63
$ 521.94
$ 595.97
$ 670.25
$ 262.13
$ 277.97
$ 293.91
$ 4.50
$ 5.31
$ 6.12
$ 2.38
$ 2.56
$ 2.74
$ 8.40
$ 8.40
$ 8.40
$ 2.84
$ 2.84
$ 2.84
$ 802.19
$ 893.05
$ 984.26
$ 352.95
$ 405.02
$ 456.86
$ 148.14
$ 156.93
$ 165.S7
$ 3.97
$ 4.73
$ 5.49
$ 1.65
$ 1.7S
$ 1.91
$ 2.16
$ 2.16
$ 2.16
$ 1.16
$ 1.16
$ 1.16
$ 510.04
$ 571.79
$ 633.45
$ 1,086.33
$1,239.06
$1,391.63
$ 519.72
$ 550.45
$ 581.59
$ 12.44
$ 14.72
$ 17.02
$ 6.87
$ 7.44
$ 8.00
$ 82.40
$ 82.40
$ 82.40
$ 32.81
$ 32.81
$ 32.81
$ 1,740.56
$1,926.88
$2,113.46
$ 485.02
$ 552.72
$ 620.41
$ 255.62
$ 312.89
$ 330.34
$ 246.S7
$ 310.S0
$ 373.94
$ S.72
$ 9.74
$ 10.74
$ 16.44
$ 16.44
$ 16.44
$ 6.06
$ 6.06
$ 6.06
$ 1,058.73
$1,208.65
$1,357.94
$ 2,660.20
$3,052.62
$3,444.64
$ 1,386.67
$1,473.70
$1,561.58
$ 271.35
$ 339.76
$ 407.43
$ 22.06
$ 24.16
$ 26.24
$ 109.53
$ 109.53
$ 109.53
$ 42.93
$ 42.93
$ 42.93
$ 4,492.72
$5,042.69
$5,592.34
Kule Alternative /¦
2
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
Total
$ 2.52
$ 3.44
$ 4.37
$ 2.24
$ 2.87
$ 3.49
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 4.80
$ 6.34
$ 7.90
$ 3.48
$ 4.71
$ 5.98
$ 3.24
$ 4.17
$ 5.06
$ 0.04
$ 0.05
$ 0.06
$ 0.09
$ 0.10
$ 0.11
$ -
$ -
$ -
$ -
$ -
$ -
$ 6.S4
$ 9.03
$ 11.21
$ 2.31
$ 3.14
$ 3.98
$ 2.41
$ 3.15
$ 3.83
$ 0.11
$ 0.13
$ 0.15
$ 0.17
$ 0.18
$ 0.19
$ -
$ -
$ -
$ -
$ -
$ -
$ 5.00
$ 6.59
$ 8.16
$ 9.08
$ 12.66
$ 16.33
$ §.79
$ 11.49
$ 14.03
$ o.ss
$ 1.03
$ 1.18
$ 0.93
$ 1.00
$ 1.07
$ -
$ -
$ -
$ -
$ -
$ -
$ 19.6S
$ 26.18
$ 32.61
$ 25.75
$ 36.37
$ 47.31
$ 16.05
$ 20.63
$ 24.96
$ 2.52
$ 2.99
$ 3.45
$ 1.24
$ 1.35
$ 1.45
$ 0.12
$ 0.12
$ 0.12
$ 0.04
$ 0.04
$ 0.04
$ 45.73
$ 61.50
$ 77.33
$ 9b.bb
$ 134.73
$ 173.95
$ 48.40
$ 62.25
$ 74.91
$ 4.50
$ 5.31
$ 6.12
$ 2.3S
$ 2.56
$ 2.74
$ 8.40
$ 8.40
$ 8.40
$ 2.84
$ 2.84
$ 2.84
$ 162.07
$ 216.09
$ 268.97
$ 63.49
$ 90.78
$ 118.43
$ 23.98
$ 30.91
$ 37.18
$ 3.97
$ 4.73
$ 5.49
$ 1.65
$ 1.78
$ 1.91
$ 2.16
$ 2.16
$ 2.16
$ 1.16
$ 1.16
$ 1.16
$ 96.42
$ 131.52
$ 166.33
$ 18b.01
$ 263.09
$ 341.49
$ 72.60
$ 94.54
$ 114.08
$ 12.44
$ 14.72
$ 17.02
$ 6.S7
$ 7.44
$ S.00
$ 82.40
$ 82.40
$ 82.40
$ 32.81
$ 32.81
$ 32.81
$ 392.13
$ 495.00
$ 595.80
$ 80.85
$ 114.98
$ 149.16
$ 38.17
$ 50.15
$ 60.74
$ 246.87
$ 310.80
$ 373.94
$ 8.72
$ 9.74
$ 10.74
$ 16.44
$ 16.44
$ 16.44
$ 6.06
$ 6.06
$ 6.06
$ 397.12
$ 508.17
$ 617.09
$ 468.06
$ 663.89
$ 861.01
$ 215.S7
$ 2 SO.17
$ 33S.2S
$ 271.35
$ 339.76
$ 407.43
$ 22.06
$ 24.16
$ 26.24
$ 109.53
$ 109.53
$ 109.53
$ 42.93
$ 42.93
$ 42.93
$ 1,129.79
$1,460.43
$1,785.40
Rule Alternative A3
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
Total
$ 1.45
$ 2.19
$ 2.90
$ 1.25
$ 1.70
$ 2.09
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 2.73
$ 3.93
$ 5.03
$ 1.94
$ 2.88
$ 3.77
$ 1.65
$ 2.26
$ 2.78
$ 0.04
$ 0.05
$ 0.06
$ 0.09
$ 0.10
$ 0.11
$ -
$ -
$ -
$ -
$ -
$ -
$ 3.71
$ 5.29
$ 6.71
$ 1.29
$ 1.90
$ 2.48
$ 1.03
$ 1.42
$ 1.75
$ 0.11
$ 0.13
$ 0.15
$ 0.17
$ 0.1S
$ 0.19
$ -
$ -
$ -
$ -
$ -
$ -
$ 2.59
$ 3.64
$ 4.58
$ 4.44
$ 6.64
$ 8.72
$ 3.83
$ 5.32
$ 6.57
$ 0.88
$ 1.03
$ 1.18
$ 0.93
$ 1.00
$ 1.07
$
$
$
$
$
$
$ 10.08
$ 13.98
$ 17.55
$ 11.b9
$ 17.53
$ 23.24
$ S.33
$ 11.56
$ 14.34
$ 2.52
$ 2.99
$ 3.45
$ 1.24
$ 1.35
$ 1.45
$ 0.12
$ 0.12
$ 0.12
$ 0.04
$ 0.04
$ 0.04
$ 23.S5
$ 33.59
$ 42.65
$ 67.53
$ 99.69
$ 129.96
$ 29.71
$ 40.40
$ 49.29
$ 4.50
$ 5.31
$ 6.12
$ 2.38
$ 2.56
$ 2.74
$ 8.40
$ 8.40
$ 8.40
$ 2.84
$ 2.84
$ 2.84
$ 115.36
$ 159.20
$ 199.36
$ 44.91
$ 67.24
$ 88.56
$ 13.65
$ 18.58
$ 22.67
$ 3.97
$ 4.73
$ 5.49
$ 1.65
$ 1.7S
$ 1.91
$ 2.16
$ 2.16
$ 2.16
$ 1.16
$ 1.16
$ 1.16
$ 6/.51
$ 95.65
$ 121.96
$ 128.87
$ 191.87
$ 251.65
$ 40.70
$ 55.49
$ 67.70
$ 12.44
$ 14.72
$ 17.02
$ 6.87
$ 7.44
$ 8.00
$ 82.40
$ 82.40
$ 82.40
$ 32.81
$ 32.81
$ 32.81
$ 304.09
$ 384.72
$ 459.59
$ bb.38
$ 82.54
$ 108.32
$ 21.96
$ 29.9S
$ 36.60
$ 246.S7
$ 310.S0
$ 373.94
$ S.72
$ 9.74
$ 10.74
$ 16.44
$ 16.44
$ 16.44
$ 6.06
$ 6.06
$ 6.06
$ 355.43
$ 455.56
$ 552.10
$ 317.40
$ 472.48
$ 619.61
$ 122.11
$ 166.70
$ 203.79
$ 271.35
$ 339.76
$ 407.43
$ 22.06
$ 24.16
$ 26.24
$ 109.53
$ 109.53
$ 109.53
$ 42.93
$ 42.93
$ 42.93
$ 885.36
$1,155.55
$1,409.53
Kule Alternative /¦
3 UV90-10B
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
Total
$ 1.45
$ 2.19
$ 2.90
$ 1.25
$ 1.70
$ 2.09
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 2.73
$ 3.93
$ 5.03
$ 1.94
$ 2.88
$ 3.77
$ 1.65
$ 2.26
$ 2.7S
$ 0.04
$ 0.05
$ 0.06
$ 0.09
$ 0.10
$ 0.11
$ -
$ -
$ -
$ -
$ -
$ -
$ 3.71
$ 5.29
$ 6.71
$ 1.29
$ 1.90
$ 2.48
$ 1.03
$ 1.42
$ 1.75
$ 0.11
$ 0.13
$ 0.15
$ 0.17
$ 0.18
$ 0.19
$ -
$ -
$ -
$ -
$ -
$ -
$ 2.59
$ 3.64
$ 4.58
$ 4.45
$ 6.64
$ 8.73
$ 3.83
$ 5.31
$ 6.57
$ 0.88
$ 1.03
$ 1.18
$ 0.93
$ 1.00
$ 1.07
$ -
$ -
$ -
$ -
$ -
$ -
$ 10.08
$ 13.99
$ 17.56
$ 11.81
$ 17.83
$ 23.60
$ 8.41
$ 11.66
$ 14.45
$ 2.52
$ 2.99
$ 3.45
$ 1.24
$ 1.35
$ 1.45
$ 0.12
$ 0.12
$ 0.12
$ 0.04
$ 0.04
$ 0.04
$ 24.15
$ 33.99
$ 43.12
$ 73.63
$ 107.86
$ 140.03
$ 32.45
$ 44.05
$ 53.65
$ 4.50
$ 5.31
$ 6.12
$ 2.38
$ 2.56
$ 2.74
$ 8.40
$ 8.40
$ 8.40
$ 2.84
$ 2.84
$ 2.84
$ 124.20
$ 171.02
$ 213.78
$ 49.58
$ 73.50
$ 96.15
$ 15.81
$ 21.50
$ 26.20
$ 3.97
$ 4.73
$ 5.49
$ 1.65
$ 1.78
$ 1.91
$ 2.16
$ 2.16
$ 2.16
$ 1.16
$ 1.16
$ 1.16
$ 74.34
$ 104.84
$ 133.08
$ 145.77
$ 214.54
$ 279.31
$ 50.80
$ 69.07
$ 84.09
$ 12.44
$ 14.72
$ 17.02
$ 6.87
$ 7.44
$ 8.00
$ 82.40
$ 82.40
$ 82.40
$ 32.81
$ 32.81
$ 32.81
$ 331.09
$ 420.98
$ 503.64
$ 64.65
$ 95.11
$ 123.75
$ 27.98
$ 38.11
$ 46.46
$ 246.87
$ 310.80
$ 373.94
$ 8.72
$ 9.74
$ 10.74
$ 16.44
$ 16.44
$ 16.44
$ 6.06
$ 6.06
$ 6.06
$ 370.72
$ 476.26
$ 577.40
$ 354.57
$ 522.46
$ 680.73
$ 143.20
$ 195.09
$ 238.04
$ 271.35
$ 339.76
$ 407.43
$ 22.06
$ 24.16
$ 26.24
$ 109.53
$ 109.53
$ 109.53
$ 42.93
$ 42.93
$ 42.93
$ 943.62
$1,233.92
$1,504.89
Rule Alternative A4
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$ 0.65
$ 1.01
$ 1.42
$ 0.56
$ 0.78
$ 1.01
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 1.24
$ 1.82
$ 2.47
$ 0.87
$ 1.32
$ 1.84
$ 0.73
$ 1.02
$ 1.33
$ 0.04
$ 0.05
$ 0.06
$ 0.09
$ 0.10
$ 0.11
$ -
$ -
$ -
$ -
$ -
$ -
$ 1.73
$ 2.49
$ 3.33
$ 0.57
$ 0.86
$ 1.20
$ 0.45
$ 0.63
$ 0.81
$ 0.11
$ 0.13
$ 0.15
$ 0.17
$ 0.18
$ 0.19
$ -
$ -
$ -
$ -
$ -
$ -
$ 1.30
$ 1.80
$ 2.35
$ 1.86
$ 2.84
$ 3.98
$ 1.73
$ 2.42
$ 3.14
$ 0.88
$ 1.03
$ 1.18
$ 0.93
$ 1.00
$ 1.07
$ -
$ -
$ -
$ -
$ -
$ -
$ 5.40
$ 7.29
$ 9.37
$ 5.02
$ 7.72
$ 10.83
$ 3.68
$ 5.22
$ 6.87
$ 2.52
$ 2.99
$ 3.45
$ 1.24
$ 1.35
$ 1.45
$ 0.12
$ 0.12
$ 0.12
$ 0.04
$ 0.04
$ 0.04
$ 12.64
$ 17.43
$ 22.76
$ 18.01
$ 27.60
$ 39.08
$ 10.18
$ 14.12
$ 18.35
$ 4.50
$ 5.31
$ 6.12
$ 2.38
$ 2.56
$ 2.74
$ 8.40
$ 8.40
$ 8.40
$ 2.84
$ 2.84
$ 2.84
$ 46.31
$ 60.83
$ 77.54
$ 11.98
$ 18.60
$ 26.58
$ 4.75
$ 6.57
$ 8.52
$ 3.97
$ 4.73
$ 5.49
$ 1.65
$ 1.78
$ 1.91
$ 2.16
$ 2.16
$ 2.16
$ 1.16
$ 1.16
$ 1.16
$ 25.68
$ 35.00
$ 45.83
$ 33.52
$ 51.60
$ 73.37
$ 12.50
$ 17.32
$ 22.55
$ 12.44
$ 14.72
$ 17.02
$ 6.87
$ 7.44
$ 8.00
$ 82.40
$ 82.40
$ 82.40
$ 32.81
$ 32.81
$ 32.81
$ 180.54
$ 206.29
$ 236.16
$ 14.35
$ 22.09
$ 31.42
$ 5.91
$ 8.23
$ 10.80
$ 246.87
$ 310.80
$ 373.94
$ 8.72
$ 9.74
$ 10.74
$ 16.44
$ 16.44
$ 16.44
$ 6.06
$ 6.06
$ 6.06
$ 298.36
$ 373.36
$ 449.40
Total
$ 86.84
$ 133.64
$ 189.73
$ 40.49
$ 56.31
$ 73.38
$ 271.35
$ 339.76
$ 407.43
$ 22.06
$ 24.16
$ 26.24
$ 109.53
$ 109.53
$ 109.53
$ 42.93
$ 42.93
$ 42.93
$ 573.18
$ 706.32
$ 849.22
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.16a: State Costs - Annualized, 3% (ICR, Mean)
Crypto
Crypto
Uncovered
Monitoring
Monitoring
Finished
E.coli Monitoring
Review
E.coli review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.001
$ 0.03
$ 0.0000
$ 0.03
100-499
$ 0.00
$
$
$
$
$ 0.001
$ 0.02
$ -
$ 0.03
500-999
$ 0.00
$
$
$
$
$ 0.000
$ 0.01
$ -
$ 0.01
1,000-3,299
$ 0.01
$
$
$
$
$ 0.003
$ 0.13
$ -
$ 0.13
3,300-9,999
$ 0.01
$
$
$
$
$ 0.003
$ 0.11
$ 0.0000
$ 0.13
10,000-49,999
$ 0.06
$
$ 0.004
$ 0.14
$ 0.0000
$ 0.21
50,000-99,999
$ 0.04
$
$ 0.001
$ 0.04
$ 0.0000
$ 0.08
100,000-999,99S
$ 0.17
$
$ 0.001
$ 0.05
$ 0.0002
$ 0.22
1,000,000+
$ 0.15
$
$ 0.000
$ 0.01
$ 0.0000
$ 0.15
Total
$ 0.44
$
$
$
$
$ 0.015
$ 0.55
$ 0.0002
$ 1.00
Rule Alternative A2
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.001
$ 0.03
$ 0.0000
$ 0.03
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.001
$ 0.02
$ -
$ 0.04
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.001
$ 0.03
$ -
$ 0.16
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.001
$ 0.03
$ 0.0000
$ 0.37
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.05
$ 0.0000
$ 0.12
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.02
$ 0.0000
$ 0.06
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.02
$ 0.0002
$ 0.22
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.006
$ 0.21
$ 0.0002
$ 1.21
Rule Alternative A3
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.001
$ 0.02
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.02
$ -
$ 0.04
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.02
$ -
$ 0.14
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.02
$ 0.0000
$ 0.36
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.05
$ 0.0000
$ 0.12
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.06
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.02
$ 0.0002
$ 0.22
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.004
$ 0.16
$ 0.0002
$ 1.15
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.001
$ 0.02
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.02
$ -
$ 0.04
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.02
$ -
$ 0.14
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.02
$ 0.0000
$ 0.36
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.05
$ 0.0000
$ 0.12
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.06
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.02
$ 0.0002
$ 0.22
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.004
$ 0.16
$ 0.0002
$ 1.16
Rule Alternative A4
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.01
$ -
$ 0.13
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.01
$ 0.0000
$ 0.35
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.02
$ 0.0000
$ 0.09
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.05
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.01
$ 0.0002
$ 0.21
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.002
$ 0.08
$ 0.0002
$ 1.08
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.16b: State Costs - Annualized, 3% (ICR, Low)
Crypto
Crypto
Uncovered
Monitoring
Monitoring
Finished
E.coli Monitoring
Review
E.coli review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.001
$ 0.03
$ 0.0000
$ 0.03
100-499
$ 0.00
$
$
$
$
$ 0.001
$ 0.02
$ -
$ 0.03
500-999
$ 0.00
$
$
$
$
$ 0.000
$ 0.01
$ -
$ 0.01
1,000-3,299
$ 0.01
$
$
$
$
$ 0.003
$ 0.13
$ -
$ 0.13
3,300-9,999
$ 0.01
$
$
$
$
$ 0.003
$ 0.12
$ 0.0000
$ 0.13
10,000-49,999
$ 0.06
$
$ 0.004
$ 0.15
$ 0.0000
$ 0.21
50,000-99,999
$ 0.04
$
$ 0.001
$ 0.04
$ 0.0000
$ 0.09
100,000-999,99S
$ 0.17
$
$ 0.001
$ 0.05
$ 0.0002
$ 0.23
1,000,000+
$ 0.15
$
$ 0.000
$ 0.01
$ 0.0000
$ 0.15
Total
$ 0.44
$
$
$
$
$ 0.015
$ 0.56
$ 0.0002
$ 1.01
Rule Alternative A2
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.001
$ 0.02
$ 0.0000
$ 0.03
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.001
$ 0.02
$ -
$ 0.04
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.001
$ 0.03
$ -
$ 0.15
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.001
$ 0.03
$ 0.0000
$ 0.37
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.05
$ 0.0000
$ 0.12
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.06
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.02
$ 0.0002
$ 0.22
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.005
$ 0.20
$ 0.0002
$ 1.20
Rule Alternative A3
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.02
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.01
$ -
$ 0.14
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.01
$ 0.0000
$ 0.36
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.05
$ 0.0000
$ 0.11
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.06
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.02
$ 0.0002
$ 0.22
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.004
$ 0.15
$ 0.0002
$ 1.14
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.02
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.01
$ -
$ 0.14
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.01
$ 0.0000
$ 0.36
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.05
$ 0.0000
$ 0.12
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.06
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.02
$ 0.0002
$ 0.22
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.004
$ 0.15
$ 0.0002
$ 1.14
Rule Alternative A4
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ 0.0000
$ 0.01
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.01
$ -
$ 0.13
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.01
$ 0.0000
$ 0.35
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.02
$ 0.0000
$ 0.09
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.05
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.01
$ 0.0002
$ 0.21
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.002
$ 0.07
$ 0.0002
$ 1.07
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.16c: State Costs - Annualized, 3% (ICR, High)
Crypto
Crypto
Uncovered
Monitoring
Monitoring
Finished
E.coli Monitoring
Review
E.coli review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.001
$ 0.03
$ 0.0000
$ 0.03
100-499
$ 0.00
$
$
$
$
$ 0.001
$ 0.02
$ -
$ 0.03
500-999
$ 0.00
$
$
$
$
$ 0.000
$ 0.01
$ -
$ 0.01
1,000-3,299
$ 0.01
$
$
$
$
$ 0.003
$ 0.13
$ -
$ 0.13
3,300-9,999
$ 0.01
$
$
$
$
$ 0.003
$ 0.12
$ 0.0000
$ 0.13
10,000-49,999
$ 0.06
$
$ 0.004
$ 0.15
$ 0.0000
$ 0.21
50,000-99,999
$ 0.04
$
$ 0.001
$ 0.04
$ 0.0000
$ 0.09
100,000-999,99S
$ 0.17
$
$ 0.001
$ 0.05
$ 0.0002
$ 0.23
1,000,000+
$ 0.15
$
$ 0.000
$ 0.01
$ 0.0000
$ 0.15
Total
$ 0.44
$
$
$
$
$ 0.015
$ 0.56
$ 0.0002
$ 1.01
Rule Alternative A2
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.001
$ 0.03
$ 0.0000
$ 0.03
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.001
$ 0.02
$ -
$ 0.04
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.001
$ 0.04
$ -
$ 0.16
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.001
$ 0.03
$ 0.0000
$ 0.38
10,000-49,999
$ 0.06
$ 0.01
$ 0.002
$ 0.06
$ 0.0000
$ 0.13
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.02
$ 0.0000
$ 0.07
100,000-999,99S
$ 0.17
$ 0.03
$ 0.001
$ 0.02
$ 0.0002
$ 0.22
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.006
$ 0.24
$ 0.0002
$ 1.24
Rule Alternative A3
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.001
$ 0.02
$ 0.0000
$ 0.03
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.02
$ -
$ 0.04
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.001
$ 0.02
$ -
$ 0.14
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.02
$ 0.0000
$ 0.36
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.05
$ 0.0000
$ 0.12
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.02
$ 0.0000
$ 0.06
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.02
$ 0.0002
$ 0.22
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.005
$ 0.17
$ 0.0002
$ 1.17
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.001
$ 0.02
$ 0.0000
$ 0.03
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.02
$ -
$ 0.04
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.001
$ 0.02
$ -
$ 0.14
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.02
$ 0.0000
$ 0.36
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.06
$ 0.0000
$ 0.12
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.02
$ 0.0000
$ 0.06
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.02
$ 0.0002
$ 0.22
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.005
$ 0.18
$ 0.0002
$ 1.17
Rule Alternative A4
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ 0.0000
$ 0.01
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.01
$ -
$ 0.13
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.01
$ 0.0000
$ 0.35
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.03
$ 0.0000
$ 0.10
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.06
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.01
$ 0.0002
$ 0.21
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.002
$ 0.08
$ 0.0002
$ 1.08
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.16d: State Costs - Annualized, 3% (ICRSSM, Mean)
Crypto
Crypto
Uncovered
Monitoring
Monitoring
Finished
E.coli Monitoring
Review
E.coli review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.001
$ 0.03
$ 0.0000
$ 0.03
100-499
$ 0.00
$
$
$
$
$ 0.001
$ 0.02
$ -
$ 0.03
500-999
$ 0.00
$
$
$
$
$ 0.000
$ 0.01
$ -
$ 0.01
1,000-3,299
$ 0.01
$
$
$
$
$ 0.003
$ 0.13
$ -
$ 0.13
3,300-9,999
$ 0.01
$
$
$
$
$ 0.003
$ 0.12
$ 0.0000
$ 0.13
10,000-49,999
$ 0.06
$
$ 0.004
$ 0.15
$ 0.0000
$ 0.21
50,000-99,999
$ 0.04
$
$ 0.001
$ 0.04
$ 0.0000
$ 0.09
100,000-999,99S
$ 0.17
$
$ 0.001
$ 0.05
$ 0.0002
$ 0.23
1,000,000+
$ 0.15
$
$ 0.000
$ 0.01
$ 0.0000
$ 0.15
Total
$ 0.44
$
$
$
$
$ 0.015
$ 0.56
$ 0.0002
$ 1.01
Rule Alternative A2
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.02
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.02
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.001
$ 0.02
$ -
$ 0.15
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.001
$ 0.02
$ 0.0000
$ 0.36
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.05
$ 0.0000
$ 0.11
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.06
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.02
$ 0.0002
$ 0.22
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.004
$ 0.16
$ 0.0002
$ 1.16
Rule Alternative A3
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.01
$ -
$ 0.13
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.01
$ 0.0000
$ 0.35
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.04
$ 0.0000
$ 0.11
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.06
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.01
$ 0.0002
$ 0.21
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.003
$ 0.12
$ 0.0002
$ 1.11
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.01
$ -
$ 0.13
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.01
$ 0.0000
$ 0.35
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.04
$ 0.0000
$ 0.11
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.06
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.01
$ 0.0002
$ 0.21
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.003
$ 0.12
$ 0.0002
$ 1.11
Rule Alternative A4
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.01
$ -
$ 0.13
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.01
$ 0.0000
$ 0.35
10,000-49,999
$ 0.06
$ 0.01
$ 0.000
$ 0.02
$ 0.0000
$ 0.08
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.00
$ 0.0000
$ 0.05
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.01
$ 0.0002
$ 0.20
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.002
$ 0.06
$ 0.0002
$ 1.06
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.16e: State Costs - Annualized, 3% (ICRSSM, Low)
Crypto
Crypto
Uncovered
Monitoring
Monitoring
Finished
E.coli Monitoring
Review
E.coli review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.001
$ 0.03
$ 0.0000
$ 0.03
100-499
$ 0.00
$
$
$
$
$ 0.001
$ 0.02
$ -
$ 0.03
500-999
$ 0.00
$
$
$
$
$ 0.000
$ 0.01
$ -
$ 0.01
1,000-3,299
$ 0.01
$
$
$
$
$ 0.003
$ 0.13
$ -
$ 0.13
3,300-9,999
$ 0.01
$
$
$
$
$ 0.003
$ 0.12
$ 0.0000
$ 0.13
10,000-49,999
$ 0.06
$
$ 0.004
$ 0.15
$ 0.0000
$ 0.21
50,000-99,999
$ 0.04
$
$ 0.001
$ 0.04
$ 0.0000
$ 0.09
100,000-999,99S
$ 0.17
$
$ 0.001
$ 0.05
$ 0.0002
$ 0.23
1,000,000+
$ 0.15
$
$ 0.000
$ 0.01
$ 0.0000
$ 0.15
Total
$ 0.44
$
$
$
$
$ 0.015
$ 0.56
$ 0.0002
$ 1.01
Rule Alternative A2
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.02
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.001
$ 0.02
$ -
$ 0.14
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.001
$ 0.02
$ 0.0000
$ 0.36
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.04
$ 0.0000
$ 0.11
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.06
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.01
$ 0.0002
$ 0.21
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.004
$ 0.15
$ 0.0002
$ 1.14
Rule Alternative A3
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.01
$ -
$ 0.13
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.01
$ 0.0000
$ 0.35
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.03
$ 0.0000
$ 0.10
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.06
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.01
$ 0.0002
$ 0.21
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.003
$ 0.11
$ 0.0002
$ 1.10
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.01
$ -
$ 0.13
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.01
$ 0.0000
$ 0.35
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.03
$ 0.0000
$ 0.10
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.06
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.01
$ 0.0002
$ 0.21
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.003
$ 0.11
$ 0.0002
$ 1.10
Rule Alternative A4
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.00
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.01
$ -
$ 0.13
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.01
$ 0.0000
$ 0.35
10,000-49,999
$ 0.06
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.08
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.00
$ 0.0000
$ 0.05
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.00
$ 0.0002
$ 0.20
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.002
$ 0.06
$ 0.0002
$ 1.05
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.16f: State Costs - Annualized, 3% (ICRSSM, High)
Crypto
Crypto
Uncovered
Monitoring
Monitoring
Finished
E.coli Monitoring
Review
E.coli review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.001
$ 0.03
$ 0.0000
$ 0.03
100-499
$ 0.00
$
$
$
$
$ 0.001
$ 0.02
$ -
$ 0.03
500-999
$ 0.00
$
$
$
$
$ 0.000
$ 0.01
$ -
$ 0.01
1,000-3,299
$ 0.01
$
$
$
$
$ 0.003
$ 0.13
$ -
$ 0.13
3,300-9,999
$ 0.01
$
$
$
$
$ 0.003
$ 0.12
$ 0.0000
$ 0.13
10,000-49,999
$ 0.06
$
$ 0.004
$ 0.15
$ 0.0000
$ 0.21
50,000-99,999
$ 0.04
$
$ 0.001
$ 0.04
$ 0.0000
$ 0.09
100,000-999,99S
$ 0.17
$
$ 0.001
$ 0.05
$ 0.0002
$ 0.23
1,000,000+
$ 0.15
$
$ 0.000
$ 0.01
$ 0.0000
$ 0.15
Total
$ 0.44
$
$
$
$
$ 0.015
$ 0.56
$ 0.0002
$ 1.01
Rule Alternative A2
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.001
$ 0.02
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.02
$ -
$ 0.04
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.001
$ 0.03
$ -
$ 0.15
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.001
$ 0.02
$ 0.0000
$ 0.37
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.05
$ 0.0000
$ 0.12
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.06
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.02
$ 0.0002
$ 0.22
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.005
$ 0.18
$ 0.0002
$ 1.18
Rule Alternative A3
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.02
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.01
$ -
$ 0.13
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.01
$ 0.0000
$ 0.35
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.04
$ 0.0000
$ 0.11
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.06
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.01
$ 0.0002
$ 0.21
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.003
$ 0.13
$ 0.0002
$ 1.12
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.02
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.01
$ -
$ 0.13
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.01
$ 0.0000
$ 0.35
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.04
$ 0.0000
$ 0.11
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.06
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.01
$ 0.0002
$ 0.21
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.003
$ 0.13
$ 0.0002
$ 1.12
Rule Alternative A4
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.01
$ -
$ 0.13
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.01
$ 0.0000
$ 0.35
10,000-49,999
$ 0.06
$ 0.01
$ 0.000
$ 0.02
$ 0.0000
$ 0.09
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.05
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.01
$ 0.0002
$ 0.20
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.002
$ 0.07
$ 0.0002
$ 1.06
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.16g: State Costs - Annualized
3% (ICRSSL, Mean)
Crypto
Crypto
Uncovered
Monitoring
Monitoring
Finished
E.coli Monitoring
Review
E.coli review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.001
$ 0.03
$ 0.0000
$ 0.03
100-499
$ 0.00
$
$
$
$
$ 0.001
$ 0.02
$ -
$ 0.03
500-999
$ 0.00
$
$
$
$
$ 0.000
$ 0.01
$ -
$ 0.01
1,000-3,299
$ 0.01
$
$
$
$
$ 0.003
$ 0.13
$ -
$ 0.13
3,300-9,999
$ 0.01
$
$
$
$
$ 0.003
$ 0.12
$ 0.0000
$ 0.13
10,000-49,999
$ 0.06
$
$ 0.004
$ 0.15
$ 0.0000
$ 0.21
50,000-99,999
$ 0.04
$
$ 0.001
$ 0.04
$ 0.0000
$ 0.09
100,000-999,999
$ 0.17
$
$ 0.001
$ 0.05
$ 0.0002
$ 0.23
1,000,000+
$ 0.15
$
$ 0.000
$ 0.01
$ 0.0000
$ 0.15
Total
$ 0.44
$
$
$
$
$ 0.015
$ 0.56
$ 0.0002
$ 1.01
Rule Alternative A2
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.02
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.001
$ 0.02
$ -
$ 0.14
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.001
$ 0.02
$ 0.0000
$ 0.36
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.04
$ 0.0000
$ 0.11
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.06
100,000-999,999
$ 0.17
$ 0.03
$ 0.000
$ 0.01
$ 0.0002
$ 0.21
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.004
$ 0.14
$ 0.0002
$ 1.14
Rule Alternative A3
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.01
$ -
$ 0.13
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.01
$ 0.0000
$ 0.35
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.03
$ 0.0000
$ 0.10
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.06
100,000-999,999
$ 0.17
$ 0.03
$ 0.000
$ 0.01
$ 0.0002
$ 0.21
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.003
$ 0.10
$ 0.0002
$ 1.09
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.01
$ -
$ 0.13
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.01
$ 0.0000
$ 0.35
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.03
$ 0.0000
$ 0.10
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.06
100,000-999,999
$ 0.17
$ 0.03
$ 0.000
$ 0.01
$ 0.0002
$ 0.21
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.003
$ 0.10
$ 0.0002
$ 1.09
Rule Alternative A4
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.00
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.01
$ -
$ 0.13
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.01
$ 0.0000
$ 0.35
10,000-49,999
$ 0.06
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.08
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.00
$ 0.0000
$ 0.05
100,000-999,999
$ 0.17
$ 0.03
$ 0.000
$ 0.00
$ 0.0002
$ 0.20
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.001
$ 0.05
$ 0.0002
$ 1.05
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.16h: State Costs - Annualized, 3% (ICRSSL, Low)
Crypto
Crypto
Uncovered
Monitoring
Monitoring
Finished
E.coli Monitoring
Review
E.coli review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.001
$ 0.03
$ 0.0000
$ 0.03
100-499
$ 0.00
$
$
$
$
$ 0.001
$ 0.02
$ -
$ 0.03
500-999
$ 0.00
$
$
$
$
$ 0.000
$ 0.01
$ -
$ 0.01
1,000-3,299
$ 0.01
$
$
$
$
$ 0.003
$ 0.13
$ -
$ 0.13
3,300-9,999
$ 0.01
$
$
$
$
$ 0.003
$ 0.12
$ 0.0000
$ 0.13
10,000-49,999
$ 0.06
$
$ 0.004
$ 0.15
$ 0.0000
$ 0.21
50,000-99,999
$ 0.04
$
$ 0.001
$ 0.04
$ 0.0000
$ 0.09
100,000-999,99S
$ 0.17
$
$ 0.001
$ 0.05
$ 0.0002
$ 0.23
1,000,000+
$ 0.15
$
$ 0.000
$ 0.01
$ 0.0000
$ 0.15
Total
$ 0.44
$
$
$
$
$ 0.015
$ 0.56
$ 0.0002
$ 1.01
Rule Alternative A2
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.02
$ -
$ 0.14
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.02
$ 0.0000
$ 0.36
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.03
$ 0.0000
$ 0.10
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.06
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.01
$ 0.0002
$ 0.21
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.003
$ 0.12
$ 0.0002
$ 1.12
Rule Alternative A3
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.01
$ -
$ 0.13
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.01
$ 0.0000
$ 0.35
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.03
$ 0.0000
$ 0.09
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.06
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.01
$ 0.0002
$ 0.21
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.002
$ 0.09
$ 0.0002
$ 1.08
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.01
$ -
$ 0.13
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.01
$ 0.0000
$ 0.35
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.03
$ 0.0000
$ 0.10
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.06
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.01
$ 0.0002
$ 0.21
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.002
$ 0.09
$ 0.0002
$ 1.08
Rule Alternative A4
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ 0.0000
$ 0.01
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.00
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.01
$ -
$ 0.13
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.00
$ 0.0000
$ 0.35
10,000-49,999
$ 0.06
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.08
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.00
$ 0.0000
$ 0.05
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.00
$ 0.0002
$ 0.20
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.001
$ 0.05
$ 0.0002
$ 1.04
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.16i: State Costs - Annualized, 3% (ICRSSL, High)
Crypto
Crypto
Uncovered
Monitoring
Monitoring
Finished
E.coli Monitoring
Review
E.coli review
Review
Water
Review Initial
Initial
Second
Second
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
round
Round
Benchmarking
Reporting
Reporting
TOTAL
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
$ 0.00
$
$
$
$
$ 0.001
$ 0.03
$ 0.0000
$ 0.03
100-499
$ 0.00
$
$
$
$
$ 0.001
$ 0.02
$ -
$ 0.03
500-999
$ 0.00
$
$
$
$
$ 0.000
$ 0.01
$ -
$ 0.01
1,000-3,299
$ 0.01
$
$
$
$
$ 0.003
$ 0.13
$ -
$ 0.13
3,300-9,999
$ 0.01
$
$
$
$
$ 0.003
$ 0.12
$ 0.0000
$ 0.13
10,000-49,999
$ 0.06
$
$ 0.004
$ 0.15
$ 0.0000
$ 0.21
50,000-99,999
$ 0.04
$
$ 0.001
$ 0.04
$ 0.0000
$ 0.09
100,000-999,99S
$ 0.17
$
$ 0.001
$ 0.05
$ 0.0002
$ 0.23
1,000,000+
$ 0.15
$
$ 0.000
$ 0.01
$ 0.0000
$ 0.15
Total
$ 0.44
$
$
$
$
$ 0.015
$ 0.56
$ 0.0002
$ 1.01
Rule Alternative A2
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.02
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.001
$ 0.02
$ -
$ 0.15
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.001
$ 0.02
$ 0.0000
$ 0.36
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.04
$ 0.0000
$ 0.11
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.06
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.02
$ 0.0002
$ 0.21
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.004
$ 0.16
$ 0.0002
$ 1.15
Rule Alternative A3
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.01
$ -
$ 0.13
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.01
$ 0.0000
$ 0.35
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.04
$ 0.0000
$ 0.11
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.06
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.01
$ 0.0002
$ 0.21
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.003
$ 0.11
$ 0.0002
$ 1.10
Rule Alternative A3 UV90-10B
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.01
$ -
$ 0.13
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.01
$ 0.0000
$ 0.35
10,000-49,999
$ 0.06
$ 0.01
$ 0.001
$ 0.04
$ 0.0000
$ 0.11
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.06
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.01
$ 0.0002
$ 0.21
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.003
$ 0.11
$ 0.0002
$ 1.10
Rule Alternative A4
<100
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ 0.0000
$ 0.02
100-499
$ 0.00
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.01
$ -
$ 0.03
500-999
$ 0.00
$ 0.01
$ 0.00
$ 0.01
$ 0.00
$ 0.000
$ 0.00
$ -
$ 0.03
1,000-3,299
$ 0.01
$ 0.05
$ 0.03
$ 0.03
$ 0.01
$ 0.000
$ 0.01
$ -
$ 0.13
3,300-9,999
$ 0.01
$ 0.13
$ 0.08
$ 0.08
$ 0.04
$ 0.000
$ 0.01
$ 0.0000
$ 0.35
10,000-49,999
$ 0.06
$ 0.01
$ 0.000
$ 0.01
$ 0.0000
$ 0.08
50,000-99,999
$ 0.04
$ 0.01
$ 0.000
$ 0.00
$ 0.0000
$ 0.05
100,000-999,99S
$ 0.17
$ 0.03
$ 0.000
$ 0.00
$ 0.0002
$ 0.20
1,000,000+
$ 0.15
$ 0.02
$ 0.000
$ 0.00
$ 0.0000
$ 0.17
Total
$ 0.44
$ 0.19
$ 0.11
$ 0.12
$ 0.12
$ 0.002
$ 0.06
$ 0.0002
$ 1.05
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.17a: Implementation & Monitoring - Annualized, 3% (ICR, Mean)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.11
$ 0.000
$ 0.12
100-499
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.10
$
$ 0.12
500-999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.06
$
$ 0.07
1,000-3,299
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.67
$
$ 0.69
3,300-9,999
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.63
$ 0.000
$ 0.65
10,000-49,999
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.79
$ 0.000
$ 0.81
50,000-99,999
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.23
$ 0.000
$ 0.24
100,000-999,99<
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.31
$ 0.001
$ 0.32
1,000,000+
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.05
$ 0.000
$ 0.06
Total
$ 0.09
$
$
$
$
$
$
$ 0.03
$ 2.96
$ 0.001
$ 3.07
Rule Alternative A2
<100
$ 0.01
$ 0.11
$ 0.92
$ 0.01
$ 0.07
$ 0.60
$ 0.01
$ 0.00
$ 0.10
$ 0.000
$ 1.83
100-499
$ 0.01
$ 0.13
$ 1.01
$ 0.01
$ 0.08
$ 0.68
$ 0.01
$ 0.00
$ 0.09
$
$ 2.02
500-999
$ 0.01
$ 0.05
$ 0.42
$ 0.01
$ 0.03
$ 0.28
$ 0.00
$ 0.00
$ 0.05
$
$ 0.85
1,000-3,299
$ 0.02
$ 0.10
$ 0.85
$ 0.01
$ 0.06
$ 0.49
$ 0.01
$ 0.00
$ 0.18
$
$ 1.72
3,300-9,999
$ 0.01
$ 0.10
$ 0.78
$ 0.01
$ 0.06
$ 0.45
$ 0.01
$ 0.00
$ 0.17
$ 0.000
$ 1.58
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.03
$ 0.42
$ 0.01
$ 0.00
$ 0.30
$ 0.000
$ 1.68
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.10
$ 0.00
$ 0.00
$ 0.09
$ 0.000
$ 0.43
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.13
$ 0.00
$ 0.00
$ 0.12
$ 0.001
$ 0.53
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 5.32
$ 0.07
$ 0.35
$ 3.16
$ 0.04
$ 0.01
$ 1.11
$ 0.001
$10.72
Rule Alternative A3
<100
$ 0.01
$ 0.11
$ 0.32
$ 0.01
$ 0.08
$ 0.22
$ 0.01
$ 0.00
$ 0.07
$ 0.000
$ 0.83
100-499
$ 0.01
$ 0.13
$ 0.35
$ 0.01
$ 0.09
$ 0.24
$ 0.01
$ 0.00
$ 0.07
$
$ 0.91
500-999
$ 0.01
$ 0.05
$ 0.15
$ 0.01
$ 0.04
$ 0.10
$ 0.00
$ 0.00
$ 0.04
$
$ 0.39
1,000-3,299
$ 0.02
$ 0.10
$ 0.30
$ 0.01
$ 0.07
$ 0.20
$ 0.01
$ 0.00
$ 0.09
$
$ 0.80
3,300-9,999
$ 0.01
$ 0.10
$ 0.28
$ 0.01
$ 0.06
$ 0.18
$ 0.01
$ 0.00
$ 0.08
$ 0.000
$ 0.74
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.03
$ 0.44
$ 0.01
$ 0.00
$ 0.27
$ 0.000
$ 1.67
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.11
$ 0.00
$ 0.00
$ 0.08
$ 0.000
$ 0.43
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.13
$ 0.00
$ 0.00
$ 0.11
$ 0.001
$ 0.52
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.75
$ 0.07
$ 0.38
$ 1.64
$ 0.04
$ 0.01
$ 0.83
$ 0.001
$ 6.38
Rule Alternative A3 UV90-10B
<100
$ 0.01
$ 0.11
$ 0.32
$ 0.01
$ 0.08
$ 0.22
$ 0.01
$ 0.00
$ 0.07
$ 0.000
$ 0.83
100-499
$ 0.01
$ 0.13
$ 0.35
$ 0.01
$ 0.09
$ 0.24
$ 0.01
$ 0.00
$ 0.07
$
$ 0.91
500-999
$ 0.01
$ 0.05
$ 0.15
$ 0.01
$ 0.04
$ 0.10
$ 0.00
$ 0.00
$ 0.04
$
$ 0.39
1,000-3,299
$ 0.02
$ 0.10
$ 0.30
$ 0.01
$ 0.07
$ 0.20
$ 0.01
$ 0.00
$ 0.09
$
$ 0.80
3,300-9,999
$ 0.01
$ 0.10
$ 0.28
$ 0.01
$ 0.06
$ 0.18
$ 0.01
$ 0.00
$ 0.09
$ 0.000
$ 0.74
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.03
$ 0.44
$ 0.01
$ 0.00
$ 0.28
$ 0.000
$ 1.67
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.11
$ 0.00
$ 0.00
$ 0.08
$ 0.000
$ 0.43
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.13
$ 0.00
$ 0.00
$ 0.11
$ 0.001
$ 0.52
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.75
$ 0.07
$ 0.38
$ 1.64
$ 0.04
$ 0.01
$ 0.84
$ 0.001
$ 6.38
Rule Alternative A4
<100
$ 0.01
$ 0.11
$ 0.28
$ 0.01
$ 0.08
$ 0.20
$ 0.01
$ 0.00
$ 0.05
$ 0.000
$ 0.75
100-499
$ 0.01
$ 0.13
$ 0.31
$ 0.01
$ 0.09
$ 0.22
$ 0.01
$ 0.00
$ 0.05
$
$ 0.82
500-999
$ 0.01
$ 0.05
$ 0.13
$ 0.01
$ 0.04
$ 0.09
$ 0.00
$ 0.00
$ 0.03
$
$ 0.35
1,000-3,299
$ 0.02
$ 0.10
$ 0.26
$ 0.01
$ 0.08
$ 0.19
$ 0.01
$ 0.00
$ 0.04
$
$ 0.71
3,300-9,999
$ 0.01
$ 0.10
$ 0.24
$ 0.01
$ 0.07
$ 0.17
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.65
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.04
$ 0.55
$ 0.01
$ 0.00
$ 0.13
$ 0.000
$ 1.65
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.13
$ 0.00
$ 0.00
$ 0.04
$ 0.000
$ 0.41
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.16
$ 0.00
$ 0.00
$ 0.05
$ 0.001
$ 0.50
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.57
$ 0.07
$ 0.41
$ 1.74
$ 0.05
$ 0.00
$ 0.43
$ 0.001
$ 5.92
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.17b: Implementation & Monitoring - Annualized, 3% (ICR, Low)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.11
$ 0.000
$ 0.12
100-499
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.10
$
$ 0.12
500-999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.06
$
$ 0.07
1,000-3,299
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.67
$
$ 0.69
3,300-9,999
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.63
$ 0.000
$ 0.65
10,000-49,999
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.83
$ 0.000
$ 0.85
50,000-99,999
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.24
$ 0.000
$ 0.25
100,000-999,99<
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.33
$ 0.001
$ 0.34
1,000,000+
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.06
$ 0.000
$ 0.06
Total
$ 0.09
$
$
$
$
$
$
$ 0.03
$ 3.03
$ 0.001
$ 3.15
Rule Alternative A2
<100
$ 0.01
$ 0.11
$ 0.92
$ 0.01
$ 0.07
$ 0.61
$ 0.01
$ 0.00
$ 0.09
$ 0.000
$ 1.83
100-499
$ 0.01
$ 0.13
$ 1.01
$ 0.01
$ 0.08
$ 0.68
$ 0.01
$ 0.00
$ 0.08
$
$ 2.02
500-999
$ 0.01
$ 0.05
$ 0.42
$ 0.01
$ 0.03
$ 0.28
$ 0.00
$ 0.00
$ 0.05
$
$ 0.85
1,000-3,299
$ 0.02
$ 0.10
$ 0.85
$ 0.01
$ 0.06
$ 0.50
$ 0.01
$ 0.00
$ 0.17
$
$ 1.72
3,300-9,999
$ 0.01
$ 0.10
$ 0.78
$ 0.01
$ 0.06
$ 0.46
$ 0.01
$ 0.00
$ 0.16
$ 0.000
$ 1.58
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.03
$ 0.43
$ 0.01
$ 0.00
$ 0.28
$ 0.000
$ 1.67
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.11
$ 0.00
$ 0.00
$ 0.08
$ 0.000
$ 0.43
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.13
$ 0.00
$ 0.00
$ 0.11
$ 0.001
$ 0.52
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 5.32
$ 0.07
$ 0.36
$ 3.22
$ 0.04
$ 0.01
$ 1.04
$ 0.001
$10.72
Rule Alternative A3
<100
$ 0.01
$ 0.11
$ 0.30
$ 0.01
$ 0.08
$ 0.20
$ 0.01
$ 0.00
$ 0.07
$ 0.000
$ 0.79
100-499
$ 0.01
$ 0.13
$ 0.33
$ 0.01
$ 0.09
$ 0.23
$ 0.01
$ 0.00
$ 0.06
$
$ 0.86
500-999
$ 0.01
$ 0.05
$ 0.14
$ 0.01
$ 0.04
$ 0.09
$ 0.00
$ 0.00
$ 0.04
$
$ 0.37
1,000-3,299
$ 0.02
$ 0.10
$ 0.28
$ 0.01
$ 0.07
$ 0.19
$ 0.01
$ 0.00
$ 0.08
$
$ 0.76
3,300-9,999
$ 0.01
$ 0.10
$ 0.26
$ 0.01
$ 0.07
$ 0.17
$ 0.01
$ 0.00
$ 0.07
$ 0.000
$ 0.70
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.03
$ 0.45
$ 0.01
$ 0.00
$ 0.25
$ 0.000
$ 1.67
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.11
$ 0.00
$ 0.00
$ 0.07
$ 0.000
$ 0.42
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.14
$ 0.00
$ 0.00
$ 0.10
$ 0.001
$ 0.52
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.65
$ 0.07
$ 0.38
$ 1.61
$ 0.04
$ 0.01
$ 0.76
$ 0.001
$ 6.19
Rule Alternative A3 UV90-10B
<100
$ 0.01
$ 0.11
$ 0.30
$ 0.01
$ 0.08
$ 0.20
$ 0.01
$ 0.00
$ 0.07
$ 0.000
$ 0.79
100-499
$ 0.01
$ 0.13
$ 0.33
$ 0.01
$ 0.09
$ 0.23
$ 0.01
$ 0.00
$ 0.06
$
$ 0.86
500-999
$ 0.01
$ 0.05
$ 0.14
$ 0.01
$ 0.04
$ 0.09
$ 0.00
$ 0.00
$ 0.04
$
$ 0.37
1,000-3,299
$ 0.02
$ 0.10
$ 0.28
$ 0.01
$ 0.07
$ 0.19
$ 0.01
$ 0.00
$ 0.08
$
$ 0.76
3,300-9,999
$ 0.01
$ 0.10
$ 0.26
$ 0.01
$ 0.07
$ 0.17
$ 0.01
$ 0.00
$ 0.07
$ 0.000
$ 0.70
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.03
$ 0.45
$ 0.01
$ 0.00
$ 0.26
$ 0.000
$ 1.67
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.11
$ 0.00
$ 0.00
$ 0.08
$ 0.000
$ 0.42
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.14
$ 0.00
$ 0.00
$ 0.10
$ 0.001
$ 0.52
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.65
$ 0.07
$ 0.38
$ 1.61
$ 0.04
$ 0.01
$ 0.77
$ 0.001
$ 6.19
Rule Alternative A4
<100
$ 0.01
$ 0.11
$ 0.26
$ 0.01
$ 0.08
$ 0.18
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.70
100-499
$ 0.01
$ 0.13
$ 0.29
$ 0.01
$ 0.09
$ 0.20
$ 0.01
$ 0.00
$ 0.04
$
$ 0.78
500-999
$ 0.01
$ 0.05
$ 0.12
$ 0.01
$ 0.04
$ 0.08
$ 0.00
$ 0.00
$ 0.03
$
$ 0.34
1,000-3,299
$ 0.02
$ 0.10
$ 0.25
$ 0.01
$ 0.08
$ 0.17
$ 0.01
$ 0.00
$ 0.03
$
$ 0.67
3,300-9,999
$ 0.01
$ 0.10
$ 0.23
$ 0.01
$ 0.07
$ 0.16
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.62
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.04
$ 0.56
$ 0.01
$ 0.00
$ 0.12
$ 0.000
$ 1.65
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.14
$ 0.00
$ 0.00
$ 0.04
$ 0.000
$ 0.41
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.17
$ 0.00
$ 0.00
$ 0.05
$ 0.001
$ 0.50
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.48
$ 0.07
$ 0.41
$ 1.70
$ 0.05
$ 0.00
$ 0.38
$ 0.001
$ 5.75
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.17c: Implementation & Monitoring - Annualized, 3% (ICR, High)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.11
$ 0.000
$ 0.12
100-499
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.10
$
$ 0.12
500-999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.06
$
$ 0.07
1,000-3,299
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.67
$
$ 0.69
3,300-9,999
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.63
$ 0.000
$ 0.65
10,000-49,999
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.83
$ 0.000
$ 0.85
50,000-99,999
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.24
$ 0.000
$ 0.25
100,000-999,99<
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.33
$ 0.001
$ 0.34
1,000,000+
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.06
$ 0.000
$ 0.06
Total
$ 0.09
$
$
$
$
$
$
$ 0.03
$ 3.03
$ 0.001
$ 3.15
Rule Alternative A2
<100
$ 0.01
$ 0.11
$ 0.92
$ 0.01
$ 0.07
$ 0.59
$ 0.01
$ 0.00
$ 0.11
$ 0.000
$ 1.83
100-499
$ 0.01
$ 0.13
$ 1.01
$ 0.01
$ 0.08
$ 0.67
$ 0.01
$ 0.00
$ 0.10
$
$ 2.02
500-999
$ 0.01
$ 0.05
$ 0.42
$ 0.01
$ 0.03
$ 0.27
$ 0.00
$ 0.00
$ 0.06
$
$ 0.85
1,000-3,299
$ 0.02
$ 0.10
$ 0.85
$ 0.01
$ 0.06
$ 0.47
$ 0.01
$ 0.00
$ 0.20
$
$ 1.72
3,300-9,999
$ 0.01
$ 0.10
$ 0.78
$ 0.01
$ 0.05
$ 0.43
$ 0.01
$ 0.00
$ 0.19
$ 0.000
$ 1.58
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.03
$ 0.39
$ 0.01
$ 0.00
$ 0.34
$ 0.000
$ 1.68
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.10
$ 0.00
$ 0.00
$ 0.10
$ 0.000
$ 0.43
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.12
$ 0.00
$ 0.00
$ 0.13
$ 0.001
$ 0.53
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 5.32
$ 0.07
$ 0.34
$ 3.06
$ 0.04
$ 0.01
$ 1.24
$ 0.001
$10.73
Rule Alternative A3
<100
$ 0.01
$ 0.11
$ 0.36
$ 0.01
$ 0.08
$ 0.24
$ 0.01
$ 0.00
$ 0.08
$ 0.000
$ 0.90
100-499
$ 0.01
$ 0.13
$ 0.40
$ 0.01
$ 0.09
$ 0.27
$ 0.01
$ 0.00
$ 0.07
$
$ 0.98
500-999
$ 0.01
$ 0.05
$ 0.16
$ 0.01
$ 0.03
$ 0.11
$ 0.00
$ 0.00
$ 0.04
$
$ 0.42
1,000-3,299
$ 0.02
$ 0.10
$ 0.34
$ 0.01
$ 0.07
$ 0.22
$ 0.01
$ 0.00
$ 0.10
$
$ 0.87
3,300-9,999
$ 0.01
$ 0.10
$ 0.31
$ 0.01
$ 0.06
$ 0.20
$ 0.01
$ 0.00
$ 0.09
$ 0.000
$ 0.80
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.03
$ 0.42
$ 0.01
$ 0.00
$ 0.30
$ 0.000
$ 1.68
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.10
$ 0.00
$ 0.00
$ 0.09
$ 0.000
$ 0.43
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.13
$ 0.00
$ 0.00
$ 0.12
$ 0.001
$ 0.53
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.91
$ 0.07
$ 0.37
$ 1.71
$ 0.04
$ 0.01
$ 0.92
$ 0.001
$ 6.69
Rule Alternative A3 UV90-10B
<100
$ 0.01
$ 0.11
$ 0.36
$ 0.01
$ 0.08
$ 0.24
$ 0.01
$ 0.00
$ 0.08
$ 0.000
$ 0.90
100-499
$ 0.01
$ 0.13
$ 0.40
$ 0.01
$ 0.09
$ 0.27
$ 0.01
$ 0.00
$ 0.07
$
$ 0.98
500-999
$ 0.01
$ 0.05
$ 0.16
$ 0.01
$ 0.03
$ 0.11
$ 0.00
$ 0.00
$ 0.04
$
$ 0.42
1,000-3,299
$ 0.02
$ 0.10
$ 0.34
$ 0.01
$ 0.07
$ 0.22
$ 0.01
$ 0.00
$ 0.10
$
$ 0.87
3,300-9,999
$ 0.01
$ 0.10
$ 0.31
$ 0.01
$ 0.06
$ 0.20
$ 0.01
$ 0.00
$ 0.09
$ 0.000
$ 0.80
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.03
$ 0.41
$ 0.01
$ 0.00
$ 0.31
$ 0.000
$ 1.68
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.10
$ 0.00
$ 0.00
$ 0.09
$ 0.000
$ 0.43
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.12
$ 0.00
$ 0.00
$ 0.12
$ 0.001
$ 0.53
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.91
$ 0.07
$ 0.37
$ 1.70
$ 0.04
$ 0.01
$ 0.93
$ 0.001
$ 6.69
Rule Alternative A4
<100
$ 0.01
$ 0.11
$ 0.31
$ 0.01
$ 0.08
$ 0.22
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.80
100-499
$ 0.01
$ 0.13
$ 0.34
$ 0.01
$ 0.09
$ 0.25
$ 0.01
$ 0.00
$ 0.04
$
$ 0.88
500-999
$ 0.01
$ 0.05
$ 0.14
$ 0.01
$ 0.04
$ 0.10
$ 0.00
$ 0.00
$ 0.03
$
$ 0.38
1,000-3,299
$ 0.02
$ 0.10
$ 0.29
$ 0.01
$ 0.08
$ 0.21
$ 0.01
$ 0.00
$ 0.04
$
$ 0.76
3,300-9,999
$ 0.01
$ 0.10
$ 0.27
$ 0.01
$ 0.07
$ 0.19
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.70
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.04
$ 0.54
$ 0.01
$ 0.00
$ 0.15
$ 0.000
$ 1.65
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.13
$ 0.00
$ 0.00
$ 0.04
$ 0.000
$ 0.42
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.16
$ 0.00
$ 0.00
$ 0.06
$ 0.001
$ 0.50
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.71
$ 0.07
$ 0.41
$ 1.83
$ 0.05
$ 0.00
$ 0.44
$ 0.001
$ 6.17
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.17d: Implementation & Monitoring - Annualized, 3% (ICRSSM, Mean)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.11
$ 0.000
$ 0.12
100-499
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.10
$
$ 0.12
500-999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.06
$
$ 0.07
1,000-3,299
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.67
$
$ 0.69
3,300-9,999
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.63
$ 0.000
$ 0.65
10,000-49,999
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.83
$ 0.000
$ 0.85
50,000-99,999
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.24
$ 0.000
$ 0.25
100,000-999,99<
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.33
$ 0.001
$ 0.34
1,000,000+
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.06
$ 0.000
$ 0.06
Total
$ 0.09
$
$
$
$
$
$
$ 0.03
$ 3.03
$ 0.001
$ 3.15
Rule Alternative A2
<100
$ 0.01
$ 0.11
$ 0.92
$ 0.01
$ 0.08
$ 0.63
$ 0.01
$ 0.00
$ 0.07
$ 0.000
$ 1.84
100-499
$ 0.01
$ 0.13
$ 1.01
$ 0.01
$ 0.09
$ 0.70
$ 0.01
$ 0.00
$ 0.06
$
$ 2.02
500-999
$ 0.01
$ 0.05
$ 0.42
$ 0.01
$ 0.04
$ 0.29
$ 0.00
$ 0.00
$ 0.04
$
$ 0.85
1,000-3,299
$ 0.02
$ 0.10
$ 0.85
$ 0.01
$ 0.07
$ 0.53
$ 0.01
$ 0.00
$ 0.13
$
$ 1.72
3,300-9,999
$ 0.01
$ 0.10
$ 0.78
$ 0.01
$ 0.06
$ 0.49
$ 0.01
$ 0.00
$ 0.12
$ 0.000
$ 1.58
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.03
$ 0.46
$ 0.01
$ 0.00
$ 0.25
$ 0.000
$ 1.67
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.11
$ 0.00
$ 0.00
$ 0.07
$ 0.000
$ 0.42
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.14
$ 0.00
$ 0.00
$ 0.10
$ 0.001
$ 0.52
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 5.32
$ 0.07
$ 0.37
$ 3.37
$ 0.04
$ 0.01
$ 0.87
$ 0.001
$10.71
Rule Alternative A3
<100
$ 0.01
$ 0.11
$ 0.25
$ 0.01
$ 0.08
$ 0.17
$ 0.01
$ 0.00
$ 0.06
$ 0.000
$ 0.70
100-499
$ 0.01
$ 0.13
$ 0.28
$ 0.01
$ 0.09
$ 0.20
$ 0.01
$ 0.00
$ 0.05
$
$ 0.77
500-999
$ 0.01
$ 0.05
$ 0.12
$ 0.01
$ 0.04
$ 0.08
$ 0.00
$ 0.00
$ 0.03
$
$ 0.33
1,000-3,299
$ 0.02
$ 0.10
$ 0.24
$ 0.01
$ 0.07
$ 0.16
$ 0.01
$ 0.00
$ 0.05
$
$ 0.67
3,300-9,999
$ 0.01
$ 0.10
$ 0.22
$ 0.01
$ 0.07
$ 0.15
$ 0.01
$ 0.00
$ 0.05
$ 0.000
$ 0.62
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.03
$ 0.49
$ 0.01
$ 0.00
$ 0.21
$ 0.000
$ 1.66
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.12
$ 0.00
$ 0.00
$ 0.06
$ 0.000
$ 0.42
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.08
$ 0.001
$ 0.51
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.45
$ 0.07
$ 0.39
$ 1.54
$ 0.04
$ 0.01
$ 0.61
$ 0.001
$ 5.77
Rule Alternative A3 UV90-10B
<100
$ 0.01
$ 0.11
$ 0.25
$ 0.01
$ 0.08
$ 0.17
$ 0.01
$ 0.00
$ 0.06
$ 0.000
$ 0.70
100-499
$ 0.01
$ 0.13
$ 0.28
$ 0.01
$ 0.09
$ 0.20
$ 0.01
$ 0.00
$ 0.05
$
$ 0.77
500-999
$ 0.01
$ 0.05
$ 0.12
$ 0.01
$ 0.04
$ 0.08
$ 0.00
$ 0.00
$ 0.03
$
$ 0.33
1,000-3,299
$ 0.02
$ 0.10
$ 0.24
$ 0.01
$ 0.07
$ 0.16
$ 0.01
$ 0.00
$ 0.05
$
$ 0.67
3,300-9,999
$ 0.01
$ 0.10
$ 0.22
$ 0.01
$ 0.07
$ 0.15
$ 0.01
$ 0.00
$ 0.05
$ 0.000
$ 0.62
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.03
$ 0.48
$ 0.01
$ 0.00
$ 0.22
$ 0.000
$ 1.66
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.12
$ 0.00
$ 0.00
$ 0.06
$ 0.000
$ 0.42
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.08
$ 0.001
$ 0.51
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.45
$ 0.07
$ 0.39
$ 1.54
$ 0.04
$ 0.01
$ 0.62
$ 0.001
$ 5.78
Rule Alternative A4
<100
$ 0.01
$ 0.11
$ 0.20
$ 0.01
$ 0.08
$ 0.14
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.60
100-499
$ 0.01
$ 0.13
$ 0.22
$ 0.01
$ 0.09
$ 0.16
$ 0.01
$ 0.00
$ 0.04
$
$ 0.66
500-999
$ 0.01
$ 0.05
$ 0.09
$ 0.01
$ 0.04
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$
$ 0.29
1,000-3,299
$ 0.02
$ 0.10
$ 0.19
$ 0.01
$ 0.08
$ 0.13
$ 0.01
$ 0.00
$ 0.03
$
$ 0.57
3,300-9,999
$ 0.01
$ 0.10
$ 0.18
$ 0.01
$ 0.07
$ 0.12
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.53
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.04
$ 0.58
$ 0.01
$ 0.00
$ 0.09
$ 0.000
$ 1.64
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.14
$ 0.00
$ 0.00
$ 0.03
$ 0.000
$ 0.41
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.18
$ 0.00
$ 0.00
$ 0.03
$ 0.001
$ 0.49
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.22
$ 0.07
$ 0.41
$ 1.55
$ 0.05
$ 0.00
$ 0.32
$ 0.001
$ 5.29
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.17e: Implementation & Monitoring - Annualized, 3% (ICRSSM, Low)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.11
$ 0.000
$ 0.12
100-499
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.10
$
$ 0.12
500-999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.06
$
$ 0.07
1,000-3,299
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.67
$
$ 0.69
3,300-9,999
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.63
$ 0.000
$ 0.65
10,000-49,999
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.83
$ 0.000
$ 0.85
50,000-99,999
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.24
$ 0.000
$ 0.25
100,000-999,99<
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.33
$ 0.001
$ 0.34
1,000,000+
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.06
$ 0.000
$ 0.06
Total
$ 0.09
$
$
$
$
$
$
$ 0.03
$ 3.03
$ 0.001
$ 3.15
Rule Alternative A2
<100
$ 0.01
$ 0.11
$ 0.92
$ 0.01
$ 0.08
$ 0.63
$ 0.01
$ 0.00
$ 0.06
$ 0.000
$ 1.84
100-499
$ 0.01
$ 0.13
$ 1.01
$ 0.01
$ 0.09
$ 0.71
$ 0.01
$ 0.00
$ 0.06
$
$ 2.02
500-999
$ 0.01
$ 0.05
$ 0.42
$ 0.01
$ 0.04
$ 0.29
$ 0.00
$ 0.00
$ 0.04
$
$ 0.85
1,000-3,299
$ 0.02
$ 0.10
$ 0.85
$ 0.01
$ 0.07
$ 0.54
$ 0.01
$ 0.00
$ 0.12
$
$ 1.72
3,300-9,999
$ 0.01
$ 0.10
$ 0.78
$ 0.01
$ 0.06
$ 0.50
$ 0.01
$ 0.00
$ 0.11
$ 0.000
$ 1.58
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.03
$ 0.48
$ 0.01
$ 0.00
$ 0.23
$ 0.000
$ 1.66
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.12
$ 0.00
$ 0.00
$ 0.07
$ 0.000
$ 0.42
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.14
$ 0.00
$ 0.00
$ 0.09
$ 0.001
$ 0.51
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 5.32
$ 0.07
$ 0.38
$ 3.44
$ 0.04
$ 0.01
$ 0.78
$ 0.001
$10.70
Rule Alternative A3
<100
$ 0.01
$ 0.11
$ 0.22
$ 0.01
$ 0.08
$ 0.15
$ 0.01
$ 0.00
$ 0.05
$ 0.000
$ 0.65
100-499
$ 0.01
$ 0.13
$ 0.24
$ 0.01
$ 0.09
$ 0.17
$ 0.01
$ 0.00
$ 0.05
$
$ 0.71
500-999
$ 0.01
$ 0.05
$ 0.10
$ 0.01
$ 0.04
$ 0.07
$ 0.00
$ 0.00
$ 0.03
$
$ 0.31
1,000-3,299
$ 0.02
$ 0.10
$ 0.21
$ 0.01
$ 0.08
$ 0.15
$ 0.01
$ 0.00
$ 0.05
$
$ 0.62
3,300-9,999
$ 0.01
$ 0.10
$ 0.19
$ 0.01
$ 0.07
$ 0.13
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.57
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.03
$ 0.50
$ 0.01
$ 0.00
$ 0.19
$ 0.000
$ 1.66
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.12
$ 0.00
$ 0.00
$ 0.06
$ 0.000
$ 0.42
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.07
$ 0.001
$ 0.51
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.32
$ 0.07
$ 0.40
$ 1.48
$ 0.05
$ 0.00
$ 0.55
$ 0.001
$ 5.53
Rule Alternative A3 UV90-10B
<100
$ 0.01
$ 0.11
$ 0.22
$ 0.01
$ 0.08
$ 0.15
$ 0.01
$ 0.00
$ 0.05
$ 0.000
$ 0.65
100-499
$ 0.01
$ 0.13
$ 0.24
$ 0.01
$ 0.09
$ 0.17
$ 0.01
$ 0.00
$ 0.05
$
$ 0.71
500-999
$ 0.01
$ 0.05
$ 0.10
$ 0.01
$ 0.04
$ 0.07
$ 0.00
$ 0.00
$ 0.03
$
$ 0.31
1,000-3,299
$ 0.02
$ 0.10
$ 0.21
$ 0.01
$ 0.08
$ 0.15
$ 0.01
$ 0.00
$ 0.05
$
$ 0.62
3,300-9,999
$ 0.01
$ 0.10
$ 0.19
$ 0.01
$ 0.07
$ 0.13
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.57
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.03
$ 0.50
$ 0.01
$ 0.00
$ 0.19
$ 0.000
$ 1.66
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.12
$ 0.00
$ 0.00
$ 0.06
$ 0.000
$ 0.42
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.07
$ 0.001
$ 0.51
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.32
$ 0.07
$ 0.40
$ 1.48
$ 0.05
$ 0.00
$ 0.56
$ 0.001
$ 5.54
Rule Alternative A4
<100
$ 0.01
$ 0.11
$ 0.17
$ 0.01
$ 0.08
$ 0.12
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.56
100-499
$ 0.01
$ 0.13
$ 0.19
$ 0.01
$ 0.09
$ 0.14
$ 0.01
$ 0.00
$ 0.04
$
$ 0.62
500-999
$ 0.01
$ 0.05
$ 0.08
$ 0.01
$ 0.04
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$
$ 0.27
1,000-3,299
$ 0.02
$ 0.10
$ 0.17
$ 0.01
$ 0.08
$ 0.12
$ 0.01
$ 0.00
$ 0.03
$
$ 0.53
3,300-9,999
$ 0.01
$ 0.10
$ 0.16
$ 0.01
$ 0.07
$ 0.11
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.49
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.04
$ 0.59
$ 0.01
$ 0.00
$ 0.08
$ 0.000
$ 1.64
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.41
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.18
$ 0.00
$ 0.00
$ 0.03
$ 0.001
$ 0.49
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.12
$ 0.07
$ 0.41
$ 1.49
$ 0.05
$ 0.00
$ 0.30
$ 0.001
$ 5.10
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.17f: Implementation & Monitoring - Annualized, 3% (ICRSSM, High)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.11
$ 0.000
$ 0.12
100-499
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.10
$
$ 0.12
500-999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.06
$
$ 0.07
1,000-3,299
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.67
$
$ 0.69
3,300-9,999
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.63
$ 0.000
$ 0.65
10,000-49,999
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.83
$ 0.000
$ 0.85
50,000-99,999
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.24
$ 0.000
$ 0.25
100,000-999,99<
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.33
$ 0.001
$ 0.34
1,000,000+
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.06
$ 0.000
$ 0.06
Total
$ 0.09
$
$
$
$
$
$
$ 0.03
$ 3.03
$ 0.001
$ 3.15
Rule Alternative A2
<100
$ 0.01
$ 0.11
$ 0.92
$ 0.01
$ 0.08
$ 0.62
$ 0.01
$ 0.00
$ 0.08
$ 0.000
$ 1.84
100-499
$ 0.01
$ 0.13
$ 1.01
$ 0.01
$ 0.09
$ 0.70
$ 0.01
$ 0.00
$ 0.07
$
$ 2.02
500-999
$ 0.01
$ 0.05
$ 0.42
$ 0.01
$ 0.04
$ 0.28
$ 0.00
$ 0.00
$ 0.04
$
$ 0.85
1,000-3,299
$ 0.02
$ 0.10
$ 0.85
$ 0.01
$ 0.06
$ 0.52
$ 0.01
$ 0.00
$ 0.14
$
$ 1.72
3,300-9,999
$ 0.01
$ 0.10
$ 0.78
$ 0.01
$ 0.06
$ 0.48
$ 0.01
$ 0.00
$ 0.13
$ 0.000
$ 1.58
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.03
$ 0.44
$ 0.01
$ 0.00
$ 0.27
$ 0.000
$ 1.67
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.11
$ 0.00
$ 0.00
$ 0.08
$ 0.000
$ 0.43
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.13
$ 0.00
$ 0.00
$ 0.11
$ 0.001
$ 0.52
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 5.32
$ 0.07
$ 0.36
$ 3.31
$ 0.04
$ 0.01
$ 0.95
$ 0.001
$10.72
Rule Alternative A3
<100
$ 0.01
$ 0.11
$ 0.28
$ 0.01
$ 0.08
$ 0.19
$ 0.01
$ 0.00
$ 0.06
$ 0.000
$ 0.75
100-499
$ 0.01
$ 0.13
$ 0.30
$ 0.01
$ 0.09
$ 0.21
$ 0.01
$ 0.00
$ 0.05
$
$ 0.82
500-999
$ 0.01
$ 0.05
$ 0.13
$ 0.01
$ 0.04
$ 0.09
$ 0.00
$ 0.00
$ 0.03
$
$ 0.35
1,000-3,299
$ 0.02
$ 0.10
$ 0.26
$ 0.01
$ 0.07
$ 0.18
$ 0.01
$ 0.00
$ 0.06
$
$ 0.71
3,300-9,999
$ 0.01
$ 0.10
$ 0.24
$ 0.01
$ 0.07
$ 0.16
$ 0.01
$ 0.00
$ 0.05
$ 0.000
$ 0.65
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.03
$ 0.47
$ 0.01
$ 0.00
$ 0.23
$ 0.000
$ 1.66
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.12
$ 0.00
$ 0.00
$ 0.07
$ 0.000
$ 0.42
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.14
$ 0.00
$ 0.00
$ 0.09
$ 0.001
$ 0.51
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.55
$ 0.07
$ 0.39
$ 1.59
$ 0.04
$ 0.01
$ 0.66
$ 0.001
$ 5.98
Rule Alternative A3 UV90-10B
<100
$ 0.01
$ 0.11
$ 0.28
$ 0.01
$ 0.08
$ 0.19
$ 0.01
$ 0.00
$ 0.06
$ 0.000
$ 0.75
100-499
$ 0.01
$ 0.13
$ 0.30
$ 0.01
$ 0.09
$ 0.21
$ 0.01
$ 0.00
$ 0.05
$
$ 0.82
500-999
$ 0.01
$ 0.05
$ 0.13
$ 0.01
$ 0.04
$ 0.09
$ 0.00
$ 0.00
$ 0.03
$
$ 0.35
1,000-3,299
$ 0.02
$ 0.10
$ 0.26
$ 0.01
$ 0.07
$ 0.18
$ 0.01
$ 0.00
$ 0.06
$
$ 0.71
3,300-9,999
$ 0.01
$ 0.10
$ 0.24
$ 0.01
$ 0.07
$ 0.16
$ 0.01
$ 0.00
$ 0.05
$ 0.000
$ 0.66
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.03
$ 0.47
$ 0.01
$ 0.00
$ 0.24
$ 0.000
$ 1.67
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.12
$ 0.00
$ 0.00
$ 0.07
$ 0.000
$ 0.42
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.14
$ 0.00
$ 0.00
$ 0.09
$ 0.001
$ 0.52
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.55
$ 0.07
$ 0.39
$ 1.58
$ 0.04
$ 0.01
$ 0.67
$ 0.001
$ 5.98
Rule Alternative A4
<100
$ 0.01
$ 0.11
$ 0.22
$ 0.01
$ 0.08
$ 0.16
$ 0.01
$ 0.00
$ 0.05
$ 0.000
$ 0.64
100-499
$ 0.01
$ 0.13
$ 0.24
$ 0.01
$ 0.09
$ 0.17
$ 0.01
$ 0.00
$ 0.04
$
$ 0.71
500-999
$ 0.01
$ 0.05
$ 0.10
$ 0.01
$ 0.04
$ 0.07
$ 0.00
$ 0.00
$ 0.03
$
$ 0.31
1,000-3,299
$ 0.02
$ 0.10
$ 0.21
$ 0.01
$ 0.08
$ 0.15
$ 0.01
$ 0.00
$ 0.03
$
$ 0.61
3,300-9,999
$ 0.01
$ 0.10
$ 0.19
$ 0.01
$ 0.07
$ 0.14
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.56
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.04
$ 0.58
$ 0.01
$ 0.00
$ 0.09
$ 0.000
$ 1.64
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.14
$ 0.00
$ 0.00
$ 0.03
$ 0.000
$ 0.41
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.17
$ 0.00
$ 0.00
$ 0.04
$ 0.001
$ 0.49
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.32
$ 0.07
$ 0.41
$ 1.61
$ 0.05
$ 0.00
$ 0.34
$ 0.001
$ 5.46
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.17g: Implementation & Monitoring - Annualized, 3% (ICRSSL, Mean)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.11
$ 0.000
$ 0.12
100-499
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.10
$
$ 0.12
500-999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.06
$
$ 0.07
1,000-3,299
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.67
$
$ 0.69
3,300-9,999
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.63
$ 0.000
$ 0.65
10,000-49,999
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.83
$ 0.000
$ 0.85
50,000-99,999
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.24
$ 0.000
$ 0.25
100,000-999,99<
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.33
$ 0.001
$ 0.34
1,000,000+
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.06
$ 0.000
$ 0.06
Total
$ 0.09
$
$
$
$
$
$
$ 0.03
$ 3.03
$ 0.001
$ 3.15
Rule Alternative A2
<100
$ 0.01
$ 0.11
$ 0.92
$ 0.01
$ 0.08
$ 0.64
$ 0.01
$ 0.00
$ 0.06
$ 0.000
$ 1.84
100-499
$ 0.01
$ 0.13
$ 1.01
$ 0.01
$ 0.09
$ 0.71
$ 0.01
$ 0.00
$ 0.06
$
$ 2.02
500-999
$ 0.01
$ 0.05
$ 0.42
$ 0.01
$ 0.04
$ 0.29
$ 0.00
$ 0.00
$ 0.04
$
$ 0.85
1,000-3,299
$ 0.02
$ 0.10
$ 0.85
$ 0.01
$ 0.07
$ 0.55
$ 0.01
$ 0.00
$ 0.11
$
$ 1.72
3,300-9,999
$ 0.01
$ 0.10
$ 0.78
$ 0.01
$ 0.06
$ 0.51
$ 0.01
$ 0.00
$ 0.10
$ 0.000
$ 1.58
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.03
$ 0.48
$ 0.01
$ 0.00
$ 0.22
$ 0.000
$ 1.66
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.12
$ 0.00
$ 0.00
$ 0.06
$ 0.000
$ 0.42
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.14
$ 0.00
$ 0.00
$ 0.09
$ 0.001
$ 0.51
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 5.32
$ 0.07
$ 0.38
$ 3.47
$ 0.04
$ 0.01
$ 0.75
$ 0.001
$10.69
Rule Alternative A3
<100
$ 0.01
$ 0.11
$ 0.21
$ 0.01
$ 0.08
$ 0.14
$ 0.01
$ 0.00
$ 0.05
$ 0.000
$ 0.62
100-499
$ 0.01
$ 0.13
$ 0.23
$ 0.01
$ 0.09
$ 0.16
$ 0.01
$ 0.00
$ 0.05
$
$ 0.68
500-999
$ 0.01
$ 0.05
$ 0.10
$ 0.01
$ 0.04
$ 0.07
$ 0.00
$ 0.00
$ 0.03
$
$ 0.30
1,000-3,299
$ 0.02
$ 0.10
$ 0.20
$ 0.01
$ 0.08
$ 0.14
$ 0.01
$ 0.00
$ 0.04
$
$ 0.59
3,300-9,999
$ 0.01
$ 0.10
$ 0.18
$ 0.01
$ 0.07
$ 0.13
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.54
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.03
$ 0.51
$ 0.01
$ 0.00
$ 0.18
$ 0.000
$ 1.66
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.13
$ 0.00
$ 0.00
$ 0.05
$ 0.000
$ 0.42
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.07
$ 0.001
$ 0.51
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.26
$ 0.07
$ 0.40
$ 1.45
$ 0.05
$ 0.00
$ 0.52
$ 0.001
$ 5.41
Rule Alternative A3 UV90-10B
<100
$ 0.01
$ 0.11
$ 0.21
$ 0.01
$ 0.08
$ 0.14
$ 0.01
$ 0.00
$ 0.05
$ 0.000
$ 0.62
100-499
$ 0.01
$ 0.13
$ 0.23
$ 0.01
$ 0.09
$ 0.16
$ 0.01
$ 0.00
$ 0.05
$
$ 0.68
500-999
$ 0.01
$ 0.05
$ 0.10
$ 0.01
$ 0.04
$ 0.07
$ 0.00
$ 0.00
$ 0.03
$
$ 0.30
1,000-3,299
$ 0.02
$ 0.10
$ 0.20
$ 0.01
$ 0.08
$ 0.14
$ 0.01
$ 0.00
$ 0.04
$
$ 0.59
3,300-9,999
$ 0.01
$ 0.10
$ 0.18
$ 0.01
$ 0.07
$ 0.13
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.55
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.03
$ 0.51
$ 0.01
$ 0.00
$ 0.18
$ 0.000
$ 1.66
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.13
$ 0.00
$ 0.00
$ 0.05
$ 0.000
$ 0.42
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.07
$ 0.001
$ 0.51
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.26
$ 0.07
$ 0.40
$ 1.45
$ 0.05
$ 0.00
$ 0.52
$ 0.001
$ 5.41
Rule Alternative A4
<100
$ 0.01
$ 0.11
$ 0.15
$ 0.01
$ 0.08
$ 0.10
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.52
100-499
$ 0.01
$ 0.13
$ 0.16
$ 0.01
$ 0.09
$ 0.12
$ 0.01
$ 0.00
$ 0.04
$
$ 0.57
500-999
$ 0.01
$ 0.05
$ 0.07
$ 0.01
$ 0.04
$ 0.05
$ 0.00
$ 0.00
$ 0.03
$
$ 0.25
1,000-3,299
$ 0.02
$ 0.10
$ 0.14
$ 0.01
$ 0.08
$ 0.10
$ 0.01
$ 0.00
$ 0.03
$
$ 0.49
3,300-9,999
$ 0.01
$ 0.10
$ 0.13
$ 0.01
$ 0.07
$ 0.09
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.45
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.04
$ 0.60
$ 0.01
$ 0.00
$ 0.07
$ 0.000
$ 1.64
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.41
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.18
$ 0.00
$ 0.00
$ 0.02
$ 0.001
$ 0.49
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.00
$ 0.07
$ 0.42
$ 1.42
$ 0.05
$ 0.00
$ 0.27
$ 0.001
$ 4.90
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.17h: Implementation & Monitoring - Annualized, 3% (ICRSSL, Low)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.11
$ 0.000
$ 0.12
100-499
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.10
$
$ 0.12
500-999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.06
$
$ 0.07
1,000-3,299
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.67
$
$ 0.69
3,300-9,999
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.63
$ 0.000
$ 0.65
10,000-49,999
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.83
$ 0.000
$ 0.85
50,000-99,999
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.24
$ 0.000
$ 0.25
100,000-999,99<
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.33
$ 0.001
$ 0.34
1,000,000+
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.06
$ 0.000
$ 0.06
Total
$ 0.09
$
$
$
$
$
$
$ 0.03
$ 3.03
$ 0.001
$ 3.15
Rule Alternative A2
<100
$ 0.01
$ 0.11
$ 0.92
$ 0.01
$ 0.08
$ 0.64
$ 0.01
$ 0.00
$ 0.06
$ 0.000
$ 1.84
100-499
$ 0.01
$ 0.13
$ 1.01
$ 0.01
$ 0.09
$ 0.72
$ 0.01
$ 0.00
$ 0.05
$
$ 2.03
500-999
$ 0.01
$ 0.05
$ 0.42
$ 0.01
$ 0.04
$ 0.29
$ 0.00
$ 0.00
$ 0.03
$
$ 0.85
1,000-3,299
$ 0.02
$ 0.10
$ 0.85
$ 0.01
$ 0.07
$ 0.57
$ 0.01
$ 0.00
$ 0.09
$
$ 1.72
3,300-9,999
$ 0.01
$ 0.10
$ 0.78
$ 0.01
$ 0.06
$ 0.52
$ 0.01
$ 0.00
$ 0.08
$ 0.000
$ 1.58
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.03
$ 0.51
$ 0.01
$ 0.00
$ 0.18
$ 0.000
$ 1.66
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.13
$ 0.00
$ 0.00
$ 0.05
$ 0.000
$ 0.42
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.07
$ 0.001
$ 0.51
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 5.32
$ 0.07
$ 0.39
$ 3.56
$ 0.04
$ 0.01
$ 0.63
$ 0.001
$10.68
Rule Alternative A3
<100
$ 0.01
$ 0.11
$ 0.16
$ 0.01
$ 0.08
$ 0.11
$ 0.01
$ 0.00
$ 0.05
$ 0.000
$ 0.55
100-499
$ 0.01
$ 0.13
$ 0.18
$ 0.01
$ 0.09
$ 0.13
$ 0.01
$ 0.00
$ 0.04
$
$ 0.60
500-999
$ 0.01
$ 0.05
$ 0.08
$ 0.01
$ 0.04
$ 0.05
$ 0.00
$ 0.00
$ 0.03
$
$ 0.26
1,000-3,299
$ 0.02
$ 0.10
$ 0.16
$ 0.01
$ 0.08
$ 0.11
$ 0.01
$ 0.00
$ 0.04
$
$ 0.52
3,300-9,999
$ 0.01
$ 0.10
$ 0.15
$ 0.01
$ 0.07
$ 0.10
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.48
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.04
$ 0.54
$ 0.01
$ 0.00
$ 0.15
$ 0.000
$ 1.65
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.13
$ 0.00
$ 0.00
$ 0.04
$ 0.000
$ 0.42
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.16
$ 0.00
$ 0.00
$ 0.06
$ 0.001
$ 0.50
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.07
$ 0.07
$ 0.41
$ 1.37
$ 0.05
$ 0.00
$ 0.44
$ 0.001
$ 5.06
Rule Alternative A3 UV90-10B
<100
$ 0.01
$ 0.11
$ 0.16
$ 0.01
$ 0.08
$ 0.11
$ 0.01
$ 0.00
$ 0.05
$ 0.000
$ 0.55
100-499
$ 0.01
$ 0.13
$ 0.18
$ 0.01
$ 0.09
$ 0.13
$ 0.01
$ 0.00
$ 0.04
$
$ 0.60
500-999
$ 0.01
$ 0.05
$ 0.08
$ 0.01
$ 0.04
$ 0.05
$ 0.00
$ 0.00
$ 0.03
$
$ 0.26
1,000-3,299
$ 0.02
$ 0.10
$ 0.16
$ 0.01
$ 0.08
$ 0.11
$ 0.01
$ 0.00
$ 0.04
$
$ 0.52
3,300-9,999
$ 0.01
$ 0.10
$ 0.15
$ 0.01
$ 0.07
$ 0.10
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.48
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.04
$ 0.54
$ 0.01
$ 0.00
$ 0.15
$ 0.000
$ 1.65
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.13
$ 0.00
$ 0.00
$ 0.04
$ 0.000
$ 0.42
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.16
$ 0.00
$ 0.00
$ 0.06
$ 0.001
$ 0.50
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.07
$ 0.07
$ 0.41
$ 1.36
$ 0.05
$ 0.00
$ 0.44
$ 0.001
$ 5.06
Rule Alternative A4
<100
$ 0.01
$ 0.11
$ 0.11
$ 0.01
$ 0.08
$ 0.08
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.46
100-499
$ 0.01
$ 0.13
$ 0.13
$ 0.01
$ 0.09
$ 0.09
$ 0.01
$ 0.00
$ 0.04
$
$ 0.50
500-999
$ 0.01
$ 0.05
$ 0.05
$ 0.01
$ 0.04
$ 0.04
$ 0.00
$ 0.00
$ 0.02
$
$ 0.22
1,000-3,299
$ 0.02
$ 0.10
$ 0.11
$ 0.01
$ 0.08
$ 0.08
$ 0.01
$ 0.00
$ 0.03
$
$ 0.44
3,300-9,999
$ 0.01
$ 0.10
$ 0.11
$ 0.01
$ 0.07
$ 0.07
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.40
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.04
$ 0.61
$ 0.01
$ 0.00
$ 0.05
$ 0.000
$ 1.64
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.41
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.18
$ 0.00
$ 0.00
$ 0.02
$ 0.001
$ 0.49
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 1.86
$ 0.07
$ 0.42
$ 1.33
$ 0.05
$ 0.00
$ 0.25
$ 0.001
$ 4.64
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.17i: Implementation & Monitoring - Annualized, 3% (ICRSSL, High)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.11
$ 0.000
$ 0.12
100-499
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.10
$
$ 0.12
500-999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.06
$
$ 0.07
1,000-3,299
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.67
$
$ 0.69
3,300-9,999
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.63
$ 0.000
$ 0.65
10,000-49,999
$ 0.01
$
$
$
$
$
$
$ 0.01
$ 0.83
$ 0.000
$ 0.85
50,000-99,999
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.24
$ 0.000
$ 0.25
100,000-999,99<
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.33
$ 0.001
$ 0.34
1,000,000+
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.06
$ 0.000
$ 0.06
Total
$ 0.09
$
$
$
$
$
$
$ 0.03
$ 3.03
$ 0.001
$ 3.15
Rule Alternative A2
<100
$ 0.01
$ 0.11
$ 0.92
$ 0.01
$ 0.08
$ 0.63
$ 0.01
$ 0.00
$ 0.07
$ 0.000
$ 1.84
100-499
$ 0.01
$ 0.13
$ 1.01
$ 0.01
$ 0.09
$ 0.71
$ 0.01
$ 0.00
$ 0.06
$
$ 2.02
500-999
$ 0.01
$ 0.05
$ 0.42
$ 0.01
$ 0.04
$ 0.29
$ 0.00
$ 0.00
$ 0.04
$
$ 0.85
1,000-3,299
$ 0.02
$ 0.10
$ 0.85
$ 0.01
$ 0.07
$ 0.54
$ 0.01
$ 0.00
$ 0.12
$
$ 1.72
3,300-9,999
$ 0.01
$ 0.10
$ 0.78
$ 0.01
$ 0.06
$ 0.50
$ 0.01
$ 0.00
$ 0.11
$ 0.000
$ 1.58
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.03
$ 0.46
$ 0.01
$ 0.00
$ 0.25
$ 0.000
$ 1.67
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.11
$ 0.00
$ 0.00
$ 0.07
$ 0.000
$ 0.42
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.14
$ 0.00
$ 0.00
$ 0.10
$ 0.001
$ 0.52
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 5.32
$ 0.07
$ 0.37
$ 3.40
$ 0.04
$ 0.01
$ 0.84
$ 0.001
$10.71
Rule Alternative A3
<100
$ 0.01
$ 0.11
$ 0.24
$ 0.01
$ 0.08
$ 0.16
$ 0.01
$ 0.00
$ 0.05
$ 0.000
$ 0.67
100-499
$ 0.01
$ 0.13
$ 0.26
$ 0.01
$ 0.09
$ 0.18
$ 0.01
$ 0.00
$ 0.05
$
$ 0.74
500-999
$ 0.01
$ 0.05
$ 0.11
$ 0.01
$ 0.04
$ 0.08
$ 0.00
$ 0.00
$ 0.03
$
$ 0.32
1,000-3,299
$ 0.02
$ 0.10
$ 0.22
$ 0.01
$ 0.08
$ 0.16
$ 0.01
$ 0.00
$ 0.05
$
$ 0.64
3,300-9,999
$ 0.01
$ 0.10
$ 0.21
$ 0.01
$ 0.07
$ 0.14
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.59
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.03
$ 0.49
$ 0.01
$ 0.00
$ 0.20
$ 0.000
$ 1.66
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.12
$ 0.00
$ 0.00
$ 0.06
$ 0.000
$ 0.42
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.08
$ 0.001
$ 0.51
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.38
$ 0.07
$ 0.40
$ 1.51
$ 0.05
$ 0.01
$ 0.57
$ 0.001
$ 5.65
Rule Alternative A3 UV90-10B
<100
$ 0.01
$ 0.11
$ 0.24
$ 0.01
$ 0.08
$ 0.16
$ 0.01
$ 0.00
$ 0.05
$ 0.000
$ 0.67
100-499
$ 0.01
$ 0.13
$ 0.26
$ 0.01
$ 0.09
$ 0.18
$ 0.01
$ 0.00
$ 0.05
$
$ 0.74
500-999
$ 0.01
$ 0.05
$ 0.11
$ 0.01
$ 0.04
$ 0.08
$ 0.00
$ 0.00
$ 0.03
$
$ 0.32
1,000-3,299
$ 0.02
$ 0.10
$ 0.22
$ 0.01
$ 0.08
$ 0.16
$ 0.01
$ 0.00
$ 0.05
$
$ 0.64
3,300-9,999
$ 0.01
$ 0.10
$ 0.21
$ 0.01
$ 0.07
$ 0.14
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.59
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.03
$ 0.49
$ 0.01
$ 0.00
$ 0.20
$ 0.000
$ 1.66
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.12
$ 0.00
$ 0.00
$ 0.06
$ 0.000
$ 0.42
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.08
$ 0.001
$ 0.51
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.38
$ 0.07
$ 0.40
$ 1.51
$ 0.05
$ 0.01
$ 0.58
$ 0.001
$ 5.65
Rule Alternative A4
<100
$ 0.01
$ 0.11
$ 0.18
$ 0.01
$ 0.08
$ 0.13
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.57
100-499
$ 0.01
$ 0.13
$ 0.20
$ 0.01
$ 0.09
$ 0.14
$ 0.01
$ 0.00
$ 0.04
$
$ 0.62
500-999
$ 0.01
$ 0.05
$ 0.08
$ 0.01
$ 0.04
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$
$ 0.27
1,000-3,299
$ 0.02
$ 0.10
$ 0.17
$ 0.01
$ 0.08
$ 0.12
$ 0.01
$ 0.00
$ 0.03
$
$ 0.54
3,300-9,999
$ 0.01
$ 0.10
$ 0.16
$ 0.01
$ 0.07
$ 0.11
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.50
10,000-49,999
$ 0.01
$ 0.06
$ 0.84
$ 0.01
$ 0.04
$ 0.59
$ 0.01
$ 0.00
$ 0.08
$ 0.000
$ 1.64
50,000-99,999
$ 0.00
$ 0.01
$ 0.21
$ 0.00
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.41
100,000-999,99<
$ 0.00
$ 0.01
$ 0.25
$ 0.00
$ 0.01
$ 0.18
$ 0.00
$ 0.00
$ 0.03
$ 0.001
$ 0.49
1,000,000+
$ 0.00
$ 0.00
$ 0.04
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.09
Total
$ 0.09
$ 0.58
$ 2.13
$ 0.07
$ 0.41
$ 1.50
$ 0.05
$ 0.00
$ 0.30
$ 0.001
$ 5.13
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.18a: Treatment Uncertainty - Annualized, 3% (ICR]
Size Category
Filtered Treatment Capital
Filtered Treatment O&M
Unfiltered Treatment Capital
Unfiltered Treatment O&M
Uncovered Reservoirs Capital
Uncovered Reservoirs O&M
Total
5th
Mean
95th
5th
Mean
95th
5th
Mean
5th
Mean
95th
5th
Mean
5th
Mean
95th
5th
Mean
95th
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
O
R
S
T
U
Rule Alternative A1
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
Total
$ 0.65
$ 0.78
$ 0.90
$ 0.90
$ 0.97
$ 1.04
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 1.56
$ 1.75
$ 1.95
$ 0.98
$ 1.15
$ 1.32
$ 1.55
$ 1.69
$ 1.82
$ 0.00
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ -
$ -
$ -
$ -
$ -
$ -
$ 2.54
$ 2.55
$ 3.16
$ 0.66
$ 0.78
$ 0.90
$ 1.49
$ 1.63
$ 1.77
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ -
$ -
$ -
$ -
$ -
$ -
$ 2.1S
$ 2.44
$ 2.69
$ 3.52
$ 4.25
$ 4.98
$ 5.25
$ 5.75
$ 6.26
$ 0.07
$ 0.05
$ 0.09
$ 0.10
$ 0.10
$ 0.11
$
$
$
$
$
$
$ 8.93
$ 10.19
$ 11.45
$ 10.S3
$ 13.25
$ 1b.6b
$ A5/
$ 5.22
$ 5.55
$ 0.20
$ 0.23
$ 0.27
$ 0.13
$ 0.14
$ 0.15
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 1S.74
$ 21.55
$ 24.96
$ 38.41
$ 43.86
$ 49.32
$ 26.21
$ 27.79
$ 29.39
$ 0.33
$ 0.39
$ 0.45
$ 0.24
$ 0.26
$ 0.27
$ 0.50
$ 0.50
$ 0.50
$ 0.25
$ 0.25
$ 0.25
$ 65.93
$ 73.04
$ 50.15
$ 25.01
$ 2S.70
$ 32.3S
$ 14.46
$ 15.31
$ 16.19
$ 0.25
$ 0.34
$ 0.39
$ 0.16
$ 0.17
$ 0.19
$ 0.13
$ 0.13
$ 0.13
$ 0.10
$ 0.10
$ 0.10
$ 40.14
$ 44.76
$ 49.37
$ 75.63
$ 86.26
$ 96.89
$ 50.12
$ 53.09
$ 56.09
$ 0.57
$ 1.02
$ 1.19
$ 0.66
$ 0.72
$ 0.77
$ 4.91
$ 4.91
$ 4.91
$ 2.85
$ 2.85
$ 2.85
$ 135.04
$ 145.55
$ 162.69
$ 33.77
$ 3S.4S
$ 43.19
$ 25.51
$ 30.15
$ 31.56
$ 17.19
$ 21.64
$ 26.03
$ 0.54
$ 0.94
$ 1.04
$ 0.9S
$ 0.9S
$ 0.9S
$ 0.b3
$ 0.b3
$ 0.b3
$ 81.81
$ 92.74
$ 103.63
$ 189.46
$ 217.51
$ 245.53
$ 136.06
$ 144.63
$ 153.25
$ 15.94
$ 23.72
$ 25.44
$ 2.16
$ 2.36
$ 2.56
$ 6.53
$ 6.53
$ 6.53
$ 3.73
$ 3.73
$ 3.73
$ 356.87
$ 395.47
$ 440.07
Kule Alternative /¦
2
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
Total
$ 0.30
$ 0.36
$ 0.46
$ 0.42
$ 0.49
$ 0.59
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.73
$ 0.56
$ 1.06
$ 0.4b
$ O.bb
$ 0.69
$ 0.61
$ 0.70
$ 0.54
$ 0.00
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ -
$ -
$ -
$ -
$ -
$ -
$ 1.07
$ 1.26
$ 1.55
$ 0.31
$ 0.38
$ 0.47
$ 0.46
$ 0.53
$ 0.64
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.80
$ 0.94
$ 1.14
$ 1.25
$ 1.bb
$ 1.9S
$ 1.58
$ 1.52
$ 2.21
$ 0.07
$ 0.05
$ 0.09
$ 0.10
$ 0.10
$ 0.11
$ -
$ -
$ -
$ -
$ -
$ -
$ 2.99
$ 3.55
$ 4.40
$ 3.53
$ 4.42
$ 5.71
$ 2.68
$ 3.04
$ 3.66
$ 0.20
$ 0.23
$ 0.27
$ 0.13
$ 0.14
$ 0.15
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 6.55
$ 7.55
$ 9.50
$ 12.00
$ 14.62
$ 1S.63
$ 7.97
$ 5.97
$ 10.73
$ 0.33
$ 0.39
$ 0.45
$ 0.24
$ 0.26
$ 0.27
$ O.bO
$ O.bO
$ O.bO
$ 0.25
$ 0.25
$ 0.25
$ 21.29
$ 24.99
$ 30.53
$ 7.75
$ 9.54
$ 12.25
$ 4.07
$ 4.60
$ 5.49
$ 0.25
$ 0.34
$ 0.39
$ 0.16
$ 0.17
$ 0.19
$ 0.13
$ 0.13
$ 0.13
$ 0.10
$ 0.10
$ 0.10
$ 12.49
$ 14.55
$ 15.54
$ 22.SO
$ 27.96
$ 3b.66
$ 13.11
$ 14.89
$ 17.73
$ 0.57
$ 1.02
$ 1.19
$ 0.66
$ 0.72
$ 0.77
$ 4.91
$ 4.91
$ 4.91
$ 2.S5
$ 2.S5
$ 2.S5
$ 45.20
$ 52.35
$ 63.11
$ 10.10
$ 12.37
$ 15.75
$ 7.22
$ 8.24
$ 9.51
$ 17.19
$ 21.64
$ 26.03
$ 0.54
$ 0.94
$ 1.04
$ 0.98
$ 0.98
$ 0.98
$ 0.53
$ 0.53
$ 0.53
$ 36.86
$ 44.69
$ 54.14
$ 58.49
$ 71.75
$ 91.60
$ 35.12
$ 43.29
$ 51.70
$ 18.94
$ 23.72
$ 25.44
$ 2.16
$ 2.36
$ 2.56
$ 6.b3
$ 6.b3
$ 6.b3
$ 3.73
$ 3.73
$ 3.73
$ 127.97
$ 151.37
$ 184.56
Rule Alternative A3
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
Total
$ 0.23
$ 0.29
$ 0.36
$ 0.25
$ 0.34
$ 0.41
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.51
$ 0.63
$ 0.77
$ 0.32
$ 0.40
$ 0.50
$ 0.39
$ 0.46
$ 0.55
$ 0.00
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.71
$ 0.55
$ 1.07
$ 0.21
$ 0.27
$ 0.34
$ 0.26
$ 0.32
$ 0.35
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ -
$ -
$ -
$ -
$ -
$ -
$ O.bO
$ 0.62
$ 0./5
$ 0.79
$ 1.01
$ 1.28
$ 0.94
$ 1.13
$ 1.34
$ 0.07
$ 0.05
$ 0.09
$ 0.10
$ 0.10
$ 0.11
$
$
$
$
$
$
$ 1.89
$ 2.33
$ 2.82
$ 2.14
$ 2.((
$ 3.b1
$ 1.52
$ 2.15
$ 2.57
$ 0.20
$ 0.23
$ 0.27
$ 0.13
$ 0.14
$ 0.15
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 4.30
$ 5.31
$ 6.51
$ 9.80
$ 12.32
$ 15.59
$ 6.03
$ 7.04
$ 5.34
$ 0.33
$ 0.39
$ 0.45
$ 0.24
$ 0.26
$ 0.27
$ 0.50
$ 0.50
$ 0.50
$ 0.25
$ 0.25
$ 0.25
$ 17.15
$ 20.76
$ 25.40
$ 6.31
$ S.04
$ 10.26
$ 2.55
$ 3.39
$ 4.01
$ 0.25
$ 0.34
$ 0.39
$ 0.16
$ 0.17
$ 0.19
$ 0.13
$ 0.13
$ 0.13
$ 0.10
$ 0.10
$ 0.10
$ 9.S6
$ 12.17
$ 15.07
$ 18.16
$ 23.06
$ 29.26
$ 5.97
$ 10.63
$ 12.53
$ 0.57
$ 1.02
$ 1.19
$ 0.66
$ 0.72
$ 0.77
$ 4.91
$ 4.91
$ 4.91
$ 2.85
$ 2.85
$ 2.85
$ 36.42
$ 43.19
$ 51.51
$ 7.90
$ 10.04
$ 12.74
$ 4.94
$ 5.88
$ 6.92
$ 17.19
$ 21.64
$ 26.03
$ 0.54
$ 0.94
$ 1.04
$ 0.9S
$ 0.9S
$ 0.9S
$ 0.b3
$ 0.b3
$ 0.b3
$ 32.3S
$ 40.00
$ 45.24
$ 45.86
$ 58.20
$ 73.84
$ 26.51
$ 31.35
$ 37.05
$ 15.94
$ 23.72
$ 25.44
$ 2.16
$ 2.36
$ 2.56
$ 6.53
$ 6.53
$ 6.53
$ 3.73
$ 3.73
$ 3.73
$ 103.72
$ 125.59
$ 152.14
Kule Alternative /¦
3 UV90-10
B
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
Total
$ 0.23
$ 0.29
$ 0.36
$ 0.25
$ 0.34
$ 0.41
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.51
$ 0.63
$ 0.77
$ 0.32
$ 0.40
$ O.bO
$ 0.59
$ 0.46
$ 0.55
$ 0.00
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.71
$ 0.55
$ 1.07
$ 0.21
$ 0.27
$ 0.34
$ 0.26
$ 0.32
$ 0.35
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.50
$ 0.62
$ 0.75
$ 0.79
$ 1.01
$ 1.28
$ 0.93
$ 1.13
$ 1.34
$ 0.07
$ 0.05
$ 0.09
$ 0.10
$ 0.10
$ 0.11
$ -
$ -
$ -
$ -
$ -
$ -
$ 1.89
$ 2.33
$ 2.52
$ 2.18
$ 2.82
$ 3.56
$ 1.53
$ 2.17
$ 2.59
$ 0.20
$ 0.23
$ 0.27
$ 0.13
$ 0.14
$ 0.15
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 4.35
$ 5.37
$ 6.55
$ 10.86
$ 13.61
$ 17.16
$ 6.61
$ 7.73
$ 9.17
$ 0.33
$ 0.39
$ 0.45
$ 0.24
$ 0.26
$ 0.27
$ 0.50
$ 0.50
$ 0.50
$ 0.25
$ 0.25
$ 0.25
$ 18.78
$ 22.74
$ 27.50
$ 7.11
$ 9.01
$ 11.41
$ 3.35
$ 3.96
$ 4.70
$ 0.25
$ 0.34
$ 0.39
$ 0.16
$ 0.17
$ 0.19
$ 0.13
$ 0.13
$ 0.13
$ 0.10
$ 0.10
$ 0.10
$ 11.13
$ 13.71
$ 16.92
$ 21.12
$ 26.66
$ 33.61
$ 11.05
$ 13.17
$ 15.62
$ 0.57
$ 1.02
$ 1.19
$ 0.66
$ 0.72
$ 0.77
$ 4.91
$ 4.91
$ 4.91
$ 2.85
$ 2.85
$ 2.85
$ 41.46
$ 49.33
$ 55.95
$ 9.53
$ 12.05
$ 15.19
$ 6.15
$ 7.35
$ 5.74
$ 17.19
$ 21.64
$ 26.03
$ 0.54
$ 0.94
$ 1.04
$ 0.98
$ 0.98
$ 0.98
$ 0.53
$ 0.53
$ 0.53
$ 35.21
$ 43.49
$ 52.50
$ 52.34
$ 66.12
$ 83.41
$ 30.55
$ 36.64
$ 43.50
$ 15.94
$ 23.72
$ 25.44
$ 2.16
$ 2.36
$ 2.56
$ 6.53
$ 6.53
$ 6.53
$ 3.73
$ 3.73
$ 3.73
$ 114.55
$ 139.09
$ 165.17
Rule Alternative A4
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$ 0.13
$ 0.17
$ 0.22
$ 0.15
$ 0.17
$ 0.21
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.28
$ 0.34
$ 0.43
$ 0.17
$ 0.22
$ 0.28
$ 0.19
$ 0.23
$ 0.27
$ 0.00
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.37
$ 0.46
$ 0.57
$ 0.11
$ 0.14
$ 0.18
$ 0.12
$ 0.14
$ 0.17
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.26
$ 0.31
$ 0.35
$ 0.37
$ 0.48
$ 0.62
$ 0.45
$ 0.53
$ 0.64
$ 0.07
$ 0.05
$ 0.09
$ 0.10
$ 0.10
$ 0.11
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.98
$ 1.20
$ 1.46
$ 0.99
$ 1.28
$ 1.66
$ 0.96
$ 1.16
$ 1.41
$ 0.20
$ 0.23
$ 0.27
$ 0.13
$ 0.14
$ 0.15
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 2.29
$ 2.53
$ 3.50
$ 3.95
$ 5.22
$ 6.70
$ 2.77
$ 3.29
$ 3.92
$ 0.33
$ 0.39
$ 0.45
$ 0.24
$ 0.26
$ 0.27
$ 0.50
$ 0.50
$ 0.50
$ 0.25
$ 0.25
$ 0.25
$ 8.04
$ 9.91
$ 12.09
$ 2.53
$ 3.39
$ 4.39
$ 1.25
$ 1.48
$ 1.76
$ 0.25
$ 0.34
$ 0.39
$ 0.16
$ 0.17
$ 0.19
$ 0.13
$ 0.13
$ 0.13
$ 0.10
$ 0.10
$ 0.10
$ 4.45
$ 5.61
$ 6.96
$ 7.02
$ 9.33
$ 12.03
$ 3.40
$ 4.04
$ 4.50
$ 0.57
$ 1.02
$ 1.19
$ 0.66
$ 0.72
$ 0.77
$ 4.91
$ 4.91
$ 4.91
$ 2.85
$ 2.85
$ 2.85
$ 19.71
$ 22.55
$ 26.55
$ 3.01
$ 4.00
$ 5.16
$ 1.69
$ 2.02
$ 2.41
$ 17.19
$ 21.64
$ 26.03
$ 0.54
$ 0.94
$ 1.04
$ 0.98
$ 0.98
$ 0.98
$ 0.53
$ 0.53
$ 0.53
$ 24.23
$ 30.11
$ 36.14
Total
$ 18.26
$ 24.23
$ 31.24
$ 10.95
$ 13.08
$ 15.55
$ 15.94
$ 23.72
$ 25.44
$ 2.16
$ 2.36
$ 2.56
$ 6.53
$ 6.53
$ 6.53
$ 3.73
$ 3.73
$ 3.73
$ 60.60
$ 73.64
$ 55.05
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.18b: Treatment Uncertainty - Annualized, 3% (ICRSSM]
Size Category
Filtered Treatment Capital
Filtered Treatment O&M
Unfiltered Treatment Capital
Unfiltered Treatment O&M
Uncovered Reservoirs Capital
Uncovered Reservoirs O&M
Total
5th
Mean
95th
5th
Mean
95th
5th
Mean
5th
Mean
95th
5th
Mean
5th
Mean
95th
5th
Mean
95th
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
O
R
S
T
U
Rule Alternative A1
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
Total
$ 0.65
$ 0.78
$ 0.90
$ 0.90
$ 0.97
$ 1.04
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 1.56
$ 1.75
$ 1.95
$ 0.98
$ 1.15
$ 1.32
$ 1.55
$ 1.69
$ 1.82
$ 0.00
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ -
$ -
$ -
$ -
$ -
$ -
$ 2.54
$ 2.85
$ 3.16
$ 0.66
$ 0.7S
$ 0.90
$ 1.49
$ 1.63
$ 1.77
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ -
$ -
$ -
$ -
$ -
$ -
$ 2.1S
$ 2.44
$ 2.69
$ 3.52
$ 4.25
$ 4.98
$ 5.25
$ 5.75
$ 6.26
$ 0.07
$ 0.08
$ 0.09
$ 0.10
$ 0.10
$ 0.11
$
$
$
$
$
$
$ 8.93
$ 10.19
$ 11.45
$ 10.S3
$ 13.25
$ 1b.6b
$ A5/
$ 8.22
$ 8.88
$ 0.20
$ 0.23
$ 0.27
$ 0.13
$ 0.14
$ 0.15
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 1S.74
$ 21.85
$ 24.96
$ 38.41
$ 43.86
$ 49.32
$ 26.21
$ 27.79
$ 29.39
$ 0.33
$ 0.39
$ 0.45
$ 0.24
$ 0.26
$ 0.27
$ 0.50
$ 0.50
$ 0.50
$ 0.25
$ 0.25
$ 0.25
$ 65.93
$ 73.04
$ 80.18
$ 25.01
$ 2S.70
$ 32.3S
$ 14.46
$ 15.31
$ 16.19
$ 0.28
$ 0.34
$ 0.39
$ 0.16
$ 0.17
$ 0.19
$ 0.13
$ 0.13
$ 0.13
$ 0.10
$ 0.10
$ 0.10
$ 40.14
$ 44.76
$ 49.37
$ 75.63
$ 86.26
$ 96.89
$ 50.12
$ 53.09
$ 56.09
$ 0.87
$ 1.02
$ 1.19
$ 0.66
$ 0.72
$ 0.77
$ 4.91
$ 4.91
$ 4.91
$ 2.85
$ 2.85
$ 2.85
$ 135.04
$ 148.85
$ 162.69
$ 33.77
$ 3S.4S
$ 43.19
$ 25.51
$ 30.18
$ 31.86
$ 17.19
$ 21.64
$ 26.03
$ 0.84
$ 0.94
$ 1.04
$ 0.9S
$ 0.9S
$ 0.9S
$ 0.b3
$ 0.b3
$ 0.b3
$ 81.81
$ 92.74
$ 103.63
$ 189.46
$ 217.51
$ 245.53
$ 136.06
$ 144.63
$ 153.28
$ 18.94
$ 23.72
$ 28.44
$ 2.16
$ 2.36
$ 2.56
$ 6.53
$ 6.53
$ 6.53
$ 3.73
$ 3.73
$ 3.73
$ 356.87
$ 398.47
$ 440.07
Kule Alternative /¦
2
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
Total
$ 0.23
$ 0.30
$ 0.37
$ 0.29
$ 0.35
$ 0.42
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.53
$ 0.65
$ 0.79
$ 0.33
$ 0.42
$ 0.52
$ 0.42
$ 0.51
$ 0.60
$ 0.00
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.77
$ 0.94
$ 1.14
$ 0.22
$ 0.28
$ 0.35
$ 0.33
$ 0.39
$ 0.46
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.57
$ 0.70
$ 0.84
$ 0.90
$ 1.16
$ 1.4b
$ 1.16
$ 1.41
$ 1.67
$ 0.07
$ 0.08
$ 0.09
$ 0.10
$ 0.10
$ 0.11
$ -
$ -
$ -
$ -
$ -
$ -
$ 2.23
$ 2.75
$ 3.32
$ 2.56
$ 3.35
$ 4.22
$ 2.05
$ 2.46
$ 2.87
$ 0.20
$ 0.23
$ 0.27
$ 0.13
$ 0.14
$ 0.15
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 4.95
$ 6.19
$ 7.52
$ 9.02
$ 11.66
$ 14.47
$ 6.07
$ 7.22
$ 8.39
$ 0.33
$ 0.39
$ 0.45
$ 0.24
$ 0.26
$ 0.27
$ O.bO
$ O.bO
$ O.bO
$ 0.25
$ 0.25
$ 0.25
$ 16.40
$ 20.27
$ 24.34
$ 5.78
$ 7.57
$ 9.49
$ 2.99
$ 3.55
$ 4.13
$ 0.28
$ 0.34
$ 0.39
$ 0.16
$ 0.17
$ 0.19
$ 0.13
$ 0.13
$ 0.13
$ 0.10
$ 0.10
$ 0.10
$ 9.45
$ 11.87
$ 14.43
$ 16.74
$ 21.75
$ 27.16
$ 9.25
$ 11.01
$ 12.83
$ 0.87
$ 1.02
$ 1.19
$ 0.66
$ 0.72
$ 0.77
$ 4.91
$ 4.91
$ 4.91
$ 2.S5
$ 2.S5
$ 2.S5
$ 35.27
$ 42.26
$ 49.72
$ 7.35
$ 9.54
$ 11.91
$ 4.97
$ 5.93
$ 6.93
$ 17.19
$ 21.64
$ 26.03
$ 0.84
$ 0.94
$ 1.04
$ 0.98
$ 0.98
$ 0.98
$ 0.53
$ 0.53
$ 0.53
$ 31.85
$ 39.56
$ 47.42
$ 43.12
$ 56.03
$ 69.9b
$ 27.53
$ 32.84
$ 38.31
$ 18.94
$ 23.72
$ 28.44
$ 2.16
$ 2.36
$ 2.56
$ 6.b3
$ 6.b3
$ 6.b3
$ 3.73
$ 3.73
$ 3.73
$ 102.00
$ 125.20
$ 149.52
Rule Alternative A3
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
Total
$ 0.16
$ 0.21
$ 0.26
$ 0.18
$ 0.22
$ 0.26
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.34
$ 0.44
$ 0.53
$ 0.21
$ 0.28
$ 0.35
$ 0.24
$ 0.30
$ 0.35
$ 0.00
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.46
$ 0.59
$ 0.72
$ 0.14
$ 0.1S
$ 0.23
$ 0.15
$ 0.19
$ 0.23
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.32
$ 0.41
$ 0.49
$ 0.49
$ 0.66
$ 0.83
$ 0.57
$ 0.71
$ 0.85
$ 0.07
$ 0.08
$ 0.09
$ 0.10
$ 0.10
$ 0.11
$
$
$
$
$
$
$ 1.23
$ 1.56
$ 1.89
$ 1.30
$ 1.76
$ 2.24
$ 1.21
$ 1.51
$ 1.79
$ 0.20
$ 0.23
$ 0.27
$ 0.13
$ 0.14
$ 0.15
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 2.S4
$ 3.65
$ 4.46
$ 6.85
$ 9.07
$ 11.38
$ 4.12
$ 5.03
$ 5.92
$ 0.33
$ 0.39
$ 0.45
$ 0.24
$ 0.26
$ 0.27
$ 0.50
$ 0.50
$ 0.50
$ 0.25
$ 0.25
$ 0.25
$ 12.29
$ 15.49
$ 18.77
$ 4.39
$ b.89
$ 7.47
$ 1.S7
$ 2.30
$ 2.70
$ 0.28
$ 0.34
$ 0.39
$ 0.16
$ 0.17
$ 0.19
$ 0.13
$ 0.13
$ 0.13
$ 0.10
$ 0.10
$ 0.10
$ 6.94
$ 8.93
$ 10.98
$ 12.44
$ 16.60
$ 20.95
$ 5.59
$ 6.87
$ 8.10
$ 0.87
$ 1.02
$ 1.19
$ 0.66
$ 0.72
$ 0.77
$ 4.91
$ 4.91
$ 4.91
$ 2.85
$ 2.85
$ 2.85
$ 27.32
$ 32.98
$ 38.77
$ b.36
$ 7.16
$ 9.04
$ 3.03
$ 3.73
$ 4.41
$ 17.19
$ 21.64
$ 26.03
$ 0.84
$ 0.94
$ 1.04
$ 0.9S
$ 0.9S
$ 0.9S
$ 0.b3
$ 0.b3
$ 0.b3
$ 27.92
$ 34.98
$ 42.03
$ 31.33
$ 41.81
$ 52.76
$ 16.98
$ 20.87
$ 24.63
$ 18.94
$ 23.72
$ 28.44
$ 2.16
$ 2.36
$ 2.56
$ 6.53
$ 6.53
$ 6.53
$ 3.73
$ 3.73
$ 3.73
$ 79.66
$ 99.02
$ 118.64
Kule Alternative /¦
3 UV90-10
B
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
Total
$ 0.16
$ 0.21
$ 0.26
$ 0.18
$ 0.22
$ 0.26
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.34
$ 0.44
$ 0.53
$ 0.21
$ 0.2S
$ 0.3b
$ 0.24
$ 0.30
$ 0.35
$ 0.00
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.46
$ 0.59
$ 0.72
$ 0.14
$ 0.18
$ 0.23
$ 0.15
$ 0.19
$ 0.23
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.32
$ 0.41
$ 0.49
$ 0.49
$ 0.66
$ 0.83
$ 0.57
$ 0.71
$ 0.85
$ 0.07
$ 0.08
$ 0.09
$ 0.10
$ 0.10
$ 0.11
$ -
$ -
$ -
$ -
$ -
$ -
$ 1.23
$ 1.56
$ 1.89
$ 1.32
$ 1.79
$ 2.27
$ 1.22
$ 1.52
$ 1.81
$ 0.20
$ 0.23
$ 0.27
$ 0.13
$ 0.14
$ 0.15
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 2.88
$ 3.69
$ 4.51
$ 7.51
$ 9.86
$ 12.33
$ 4.51
$ 5.50
$ 6.46
$ 0.33
$ 0.39
$ 0.45
$ 0.24
$ 0.26
$ 0.27
$ 0.50
$ 0.50
$ 0.50
$ 0.25
$ 0.25
$ 0.25
$ 13.33
$ 16.76
$ 20.27
$ 4.88
$ 6.48
$ 8.17
$ 2.18
$ 2.67
$ 3.14
$ 0.28
$ 0.34
$ 0.39
$ 0.16
$ 0.17
$ 0.19
$ 0.13
$ 0.13
$ 0.13
$ 0.10
$ 0.10
$ 0.10
$ 7.73
$ 9.89
$ 12.12
$ 14.16
$ 18.72
$ 23.50
$ 6.97
$ 8.56
$ 10.10
$ 0.87
$ 1.02
$ 1.19
$ 0.66
$ 0.72
$ 0.77
$ 4.91
$ 4.91
$ 4.91
$ 2.85
$ 2.85
$ 2.85
$ 30.43
$ 36.79
$ 43.32
$ 6.31
$ 8.34
$ 10.45
$ 3.85
$ 4.74
$ 5.60
$ 17.19
$ 21.64
$ 26.03
$ 0.84
$ 0.94
$ 1.04
$ 0.98
$ 0.98
$ 0.98
$ 0.53
$ 0.53
$ 0.53
$ 29.70
$ 37.16
$ 44.63
$ 35.18
$ 46.53
$ 58.41
$ 19.87
$ 24.41
$ 28.81
$ 18.94
$ 23.72
$ 28.44
$ 2.16
$ 2.36
$ 2.56
$ 6.53
$ 6.53
$ 6.53
$ 3.73
$ 3.73
$ 3.73
$ 86.41
$ 107.27
$ 128.48
Rule Alternative A4
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$ 0.08
$ 0.11
$ 0.14
$ 0.09
$ 0.11
$ 0.13
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.17
$ 0.22
$ 0.28
$ 0.11
$ 0.14
$ 0.18
$ 0.12
$ 0.15
$ 0.18
$ 0.00
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.24
$ 0.30
$ 0.38
$ 0.07
$ 0.09
$ 0.12
$ 0.07
$ 0.09
$ 0.11
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.17
$ 0.21
$ 0.26
$ 0.23
$ 0.31
$ 0.40
$ 0.28
$ 0.35
$ 0.42
$ 0.07
$ 0.08
$ 0.09
$ 0.10
$ 0.10
$ 0.11
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.67
$ 0.84
$ 1.02
$ 0.61
$ 0.83
$ 1.08
$ 0.60
$ 0.75
$ 0.92
$ 0.20
$ 0.23
$ 0.27
$ 0.13
$ 0.14
$ 0.15
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 1.55
$ 1.97
$ 2.43
$ 2.17
$ 2.99
$ 3.88
$ 1.63
$ 2.01
$ 2.41
$ 0.33
$ 0.39
$ 0.45
$ 0.24
$ 0.26
$ 0.27
$ 0.50
$ 0.50
$ 0.50
$ 0.25
$ 0.25
$ 0.25
$ 5.11
$ 6.39
$ 7.76
$ 1.39
$ 1.94
$ 2.54
$ 0.74
$ 0.91
$ 1.09
$ 0.28
$ 0.34
$ 0.39
$ 0.16
$ 0.17
$ 0.19
$ 0.13
$ 0.13
$ 0.13
$ 0.10
$ 0.10
$ 0.10
$ 2.80
$ 3.59
$ 4.44
$ 3.83
$ 5.30
$ 6.92
$ 1.94
$ 2.41
$ 2.88
$ 0.87
$ 1.02
$ 1.19
$ 0.66
$ 0.72
$ 0.77
$ 4.91
$ 4.91
$ 4.91
$ 2.85
$ 2.85
$ 2.85
$ 15.06
$ 17.21
$ 19.52
$ 1.64
$ 2.27
$ 2.96
$ 0.93
$ 1.16
$ 1.40
$ 17.19
$ 21.64
$ 26.03
$ 0.84
$ 0.94
$ 1.04
$ 0.98
$ 0.98
$ 0.98
$ 0.53
$ 0.53
$ 0.53
$ 22.10
$ 27.52
$ 32.94
Total
$ 10.11
$ 13.98
$ 18.23
$ 6.40
$ 7.95
$ 9.54
$ 18.94
$ 23.72
$ 28.44
$ 2.16
$ 2.36
$ 2.56
$ 6.53
$ 6.53
$ 6.53
$ 3.73
$ 3.73
$ 3.73
$ 47.87
$ 58.27
$ 69.03
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.18c: Treatment Uncertainty - Annualized, 3% (ICRSSL]
Size Category
Filtered Treatment Capital
Filtered Treatment O&M
Unfiltered Treatment Capital
Unfiltered Treatment O&M
Uncovered Reservoirs Capital
Uncovered Reservoirs O&M
Total
5th
Mean
95th
5th
Mean
95th
5th
Mean
5th
Mean
95th
5th
Mean
5th
Mean
95th
5th
Mean
95th
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
O
R
S
T
U
Rule Alternative A1
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
Total
$ 0.65
$ 0.78
$ 0.90
$ 0.90
$ 0.97
$ 1.04
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 1.56
$ 1.75
$ 1.95
$ 0.98
$ 1.15
$ 1.32
$ 1.55
$ 1.69
$ 1.82
$ 0.00
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ -
$ -
$ -
$ -
$ -
$ -
$ 2.54
$ 2.85
$ 3.16
$ 0.66
$ 0.78
$ 0.90
$ 1.49
$ 1.63
$ 1.77
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ -
$ -
$ -
$ -
$ -
$ -
$ 2.1S
$ 2.44
$ 2.69
$ 3.52
$ 4.25
$ 4.98
$ 5.25
$ 5.75
$ 6.26
$ 0.07
$ 0.08
$ 0.09
$ 0.10
$ 0.10
$ 0.11
$
$
$
$
$
$
$ 8.93
$ 10.19
$ 11.45
$ 10.S3
$ 13.25
$ 15.65
$ A5/
$ 8.22
$ 8.88
$ 0.20
$ 0.23
$ 0.27
$ 0.13
$ 0.14
$ 0.15
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 1S.74
$ 21.85
$ 24.96
$ 38.41
$ 43.86
$ 49.32
$ 26.21
$ 27.79
$ 29.39
$ 0.33
$ 0.39
$ 0.45
$ 0.24
$ 0.26
$ 0.27
$ 0.50
$ 0.50
$ 0.50
$ 0.25
$ 0.25
$ 0.25
$ 65.93
$ 73.04
$ 80.18
$ 25.01
$ 28.70
$ 32.38
$ 14.46
$ 15.31
$ 16.19
$ 0.28
$ 0.34
$ 0.39
$ 0.16
$ 0.17
$ 0.19
$ 0.13
$ 0.13
$ 0.13
$ 0.10
$ 0.10
$ 0.10
$ 40.14
$ 44.76
$ 49.37
$ 75.63
$ 86.26
$ 96.89
$ 50.12
$ 53.09
$ 56.09
$ 0.87
$ 1.02
$ 1.19
$ 0.66
$ 0.72
$ 0.77
$ 4.91
$ 4.91
$ 4.91
$ 2.85
$ 2.85
$ 2.85
$ 135.04
$ 148.85
$ 162.69
$ 33.77
$ 38.48
$ 43.19
$ 28.51
$ 30.18
$ 31.86
$ 17.19
$ 21.64
$ 26.03
$ 0.84
$ 0.94
$ 1.04
$ 0.9S
$ 0.9S
$ 0.9S
$ 0.b3
$ 0.b3
$ 0.b3
$ 81.81
$ 92.74
$ 103.63
$ 189.46
$ 217.51
$ 245.53
$ 136.06
$ 144.63
$ 153.28
$ 18.94
$ 23.72
$ 28.44
$ 2.16
$ 2.36
$ 2.56
$ 6.53
$ 6.53
$ 6.53
$ 3.73
$ 3.73
$ 3.73
$ 356.87
$ 398.47
$ 440.07
Kule Alternative /¦
2
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
Total
$ 0.20
$ 0.27
$ 0.34
$ 0.23
$ 0.30
$ 0.36
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.43
$ 0.57
$ 0.71
$ 0.27
$ 0.37
$ 0.47
$ 0.34
$ 0.43
$ 0.53
$ 0.00
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.62
$ 0.81
$ 1.01
$ 0.18
$ 0.24
$ 0.31
$ 0.25
$ 0.33
$ 0.40
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.46
$ 0.60
$ 0.74
$ 0.71
$ 0.98
$ 1.27
$ 0.91
$ 1.20
$ 1.46
$ 0.07
$ 0.08
$ 0.09
$ 0.10
$ 0.10
$ 0.11
$ -
$ -
$ -
$ -
$ -
$ -
$ 1.79
$ 2.36
$ 2.93
$ 2.00
$ 2.83
$ 3.68
$ 1.67
$ 2.15
$ 2.60
$ 0.20
$ 0.23
$ 0.27
$ 0.13
$ 0.14
$ 0.15
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 4.01
$ 5.36
$ 6.71
$ 7.03
$ 9.91
$ 12.80
$ 4.84
$ 6.22
$ 7.49
$ 0.33
$ 0.39
$ 0.45
$ 0.24
$ 0.26
$ 0.27
$ O.bO
$ O.bO
$ O.bO
$ 0.25
$ 0.25
$ 0.25
$ 13.19
$ 17.53
$ 21.76
$ 4.50
$ 6.43
$ 8.39
$ 2.34
$ 3.02
$ 3.63
$ 0.28
$ 0.34
$ 0.39
$ 0.16
$ 0.17
$ 0.19
$ 0.13
$ 0.13
$ 0.13
$ 0.10
$ 0.10
$ 0.10
$ 7.51
$ 10.19
$ 12.83
$ 12.SS
$ 18.32
$ 23.77
$ 7.00
$ 9.12
$ 11.00
$ 0.87
$ 1.02
$ 1.19
$ 0.66
$ 0.72
$ 0.77
$ 4.91
$ 4.91
$ 4.91
$ 2.S5
$ 2.S5
$ 2.S5
$ 29.17
$ 36.94
$ 44.49
$ 5.63
$ 8.01
$ 10.38
$ 3.68
$ 4.84
$ 5.86
$ 17.19
$ 21.64
$ 26.03
$ 0.84
$ 0.94
$ 1.04
$ 0.98
$ 0.98
$ 0.98
$ 0.53
$ 0.53
$ 0.53
$ 28.84
$ 36.93
$ 44.82
$ 33.40
$ 47.36
$ 61.42
$ 21.27
$ 27.60
$ 33.32
$ 18.94
$ 23.72
$ 28.44
$ 2.16
$ 2.36
$ 2.56
$ 6.53
$ 6.b3
$ 6.b3
$ 3.73
$ 3.73
$ 3.73
$ S6.02
$ 111.29
$ 136.00
Rule Alternative A3
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
Total
$ 0.11
$ 0.17
$ 0.23
$ 0.13
$ 0.18
$ 0.22
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.25
$ 0.35
$ 0.45
$ 0.15
$ 0.22
$ 0.29
$ 0.17
$ 0.24
$ 0.29
$ 0.00
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.33
$ 0.47
$ 0.60
$ 0.10
$ 0.15
$ 0.19
$ 0.11
$ 0.15
$ 0.18
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.23
$ 0.32
$ 0.41
$ 0.35
$ 0.52
$ 0.68
$ 0.40
$ 0.55
$ 0.68
$ 0.07
$ 0.08
$ 0.09
$ 0.10
$ 0.10
$ 0.11
$
$
$
$
$
$
$ 0.91
$ 1.25
$ 1.57
$ 0.90
$ 1.36
$ 1.81
$ 0.87
$ 1.20
$ 1.49
$ 0.20
$ 0.23
$ 0.27
$ 0.13
$ 0.14
$ 0.15
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 2.10
$ 2.95
$ 3.73
$ 4.97
$ 7.34
$ 9.56
$ 2.97
$ 4.04
$ 4.93
$ 0.33
$ 0.39
$ 0.45
$ 0.24
$ 0.26
$ 0.27
$ 0.50
$ 0.50
$ 0.50
$ 0.25
$ 0.25
$ 0.25
$ 9.26
$ 12.77
$ 15.96
$ 3.1S
$ 4.77
$ 6.28
$ 1.33
$ 1.81
$ 2.21
$ 0.28
$ 0.34
$ 0.39
$ 0.16
$ 0.17
$ 0.19
$ 0.13
$ 0.13
$ 0.13
$ 0.10
$ 0.10
$ 0.10
$ 5.19
$ 7.32
$ 9.29
$ 8.97
$ 13.36
$ 17.52
$ 3.93
$ 5.35
$ 6.53
$ 0.87
$ 1.02
$ 1.19
$ 0.66
$ 0.72
$ 0.77
$ 4.91
$ 4.91
$ 4.91
$ 2.85
$ 2.85
$ 2.85
$ 22.19
$ 28.21
$ 33.77
$ 3.S6
$ 5./5
$ /.54
$ 2.12
$ 2.89
$ 3.53
$ 17.19
$ 21.64
$ 26.03
$ 0.84
$ 0.94
$ 1.04
$ 0.9S
$ 0.9S
$ 0.9S
$ 0.b3
$ 0.b3
$ 0.b3
$ 25.51
$ 32.72
$ 39.65
$ 22.59
$ 33.63
$ 44.10
$ 12.02
$ 16.41
$ 20.06
$ 18.94
$ 23.72
$ 28.44
$ 2.16
$ 2.36
$ 2.56
$ 6.53
$ 6.53
$ 6.53
$ 3.73
$ 3.73
$ 3.73
$ 65.97
$ 86.37
$ 105.42
Kule Alternative /¦
3 UV90-10
B
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
Total
$ 0.11
$ 0.17
$ 0.23
$ 0.13
$ 0.18
$ 0.22
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.25
$ 0.35
$ 0.45
$ 0.1b
$ 0.22
$ 0.29
$ 0.17
$ 0.24
$ 0.29
$ 0.00
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.33
$ 0.47
$ 0.60
$ 0.10
$ 0.15
$ 0.19
$ 0.11
$ 0.15
$ 0.18
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.23
$ 0.32
$ 0.41
$ 0.35
$ 0.52
$ 0.68
$ 0.40
$ 0.55
$ 0.68
$ 0.07
$ 0.08
$ 0.09
$ 0.10
$ 0.10
$ 0.11
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.91
$ 1.25
$ 1.57
$ 0.92
$ 1.39
$ 1.84
$ 0.87
$ 1.21
$ 1.50
$ 0.20
$ 0.23
$ 0.27
$ 0.13
$ 0.14
$ 0.15
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 2.13
$ 2.98
$ 3.77
$ 5.42
$ 7.94
$ 10.30
$ 3.24
$ 4.40
$ 5.36
$ 0.33
$ 0.39
$ 0.45
$ 0.24
$ 0.26
$ 0.27
$ 0.50
$ 0.50
$ 0.50
$ 0.25
$ 0.25
$ 0.25
$ 9.98
$ 13.74
$ 17.14
$ 3.51
$ 5.21
$ 6.81
$ 1.54
$ 2.10
$ 2.56
$ 0.28
$ 0.34
$ 0.39
$ 0.16
$ 0.17
$ 0.19
$ 0.13
$ 0.13
$ 0.13
$ 0.10
$ 0.10
$ 0.10
$ 5.73
$ 8.05
$ 10.18
$ 10.15
$ 14.94
$ 19.45
$ 4.90
$ 6.66
$ 8.11
$ 0.87
$ 1.02
$ 1.19
$ 0.66
$ 0.72
$ 0.77
$ 4.91
$ 4.91
$ 4.91
$ 2.85
$ 2.85
$ 2.85
$ 24.34
$ 31.10
$ 37.27
$ 4.50
$ 6.62
$ 8.62
$ 2.70
$ 3.68
$ 4.48
$ 17.19
$ 21.64
$ 26.03
$ 0.84
$ 0.94
$ 1.04
$ 0.98
$ 0.98
$ 0.98
$ 0.53
$ 0.53
$ 0.53
$ 26.73
$ 34.38
$ 41.67
$ 25.21
$ 37.15
$ 48.41
$ 14.07
$ 19.17
$ 23.39
$ 18.94
$ 23.72
$ 28.44
$ 2.16
$ 2.36
$ 2.56
$ 6.53
$ 6.53
$ 6.53
$ 3.73
$ 3.73
$ 3.73
$ 70.63
$ 92.65
$ 113.05
Rule Alternative A4
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$ 0.05
$ 0.08
$ 0.11
$ 0.06
$ 0.08
$ 0.10
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.11
$ 0.16
$ 0.22
$ 0.07
$ 0.10
$ 0.14
$ 0.08
$ 0.11
$ 0.14
$ 0.00
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.16
$ 0.22
$ 0.30
$ 0.04
$ 0.07
$ 0.09
$ 0.05
$ 0.07
$ 0.08
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$ 0.02
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.12
$ 0.16
$ 0.21
$ 0.14
$ 0.22
$ 0.31
$ 0.18
$ 0.25
$ 0.33
$ 0.07
$ 0.08
$ 0.09
$ 0.10
$ 0.10
$ 0.11
$ -
$ -
$ -
$ -
$ -
$ -
$ 0.49
$ 0.66
$ 0.84
$ 0.39
$ 0.60
$ 0.84
$ 0.38
$ 0.54
$ 0.71
$ 0.20
$ 0.23
$ 0.27
$ 0.13
$ 0.14
$ 0.15
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 1.11
$ 1.53
$ 1.99
$ 1.33
$ 2.03
$ 2.88
$ 1.02
$ 1.41
$ 1.84
$ 0.33
$ 0.39
$ 0.45
$ 0.24
$ 0.26
$ 0.27
$ 0.50
$ 0.50
$ 0.50
$ 0.25
$ 0.25
$ 0.25
$ 3.66
$ 4.84
$ 6.18
$ 0.85
$ 1.32
$ 1.88
$ 0.46
$ 0.64
$ 0.83
$ 0.28
$ 0.34
$ 0.39
$ 0.16
$ 0.17
$ 0.19
$ 0.13
$ 0.13
$ 0.13
$ 0.10
$ 0.10
$ 0.10
$ 1.99
$ 2.70
$ 3.52
$ 2.33
$ 3.59
$ 5.11
$ 1.21
$ 1.67
$ 2.17
$ 0.87
$ 1.02
$ 1.19
$ 0.66
$ 0.72
$ 0.77
$ 4.91
$ 4.91
$ 4.91
$ 2.85
$ 2.85
$ 2.85
$ 12.83
$ 14.77
$ 17.00
$ 1.00
$ 1.54
$ 2.19
$ 0.57
$ 0.79
$ 1.04
$ 17.19
$ 21.64
$ 26.03
$ 0.84
$ 0.94
$ 1.04
$ 0.98
$ 0.98
$ 0.98
$ 0.53
$ 0.53
$ 0.53
$ 21.10
$ 26.42
$ 31.81
Total
$ 6.21
$ 9.55
$ 13.55
$ 4.00
$ 5.56
$ 7.25
$ 18.94
$ 23.72
$ 28.44
$ 2.16
$ 2.36
$ 2.56
$ 6.53
$ 6.53
$ 6.53
$ 3.73
$ 3.73
$ 3.73
$ 41.56
$ 51.45
$ 62.06
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.19a: State Costs - Annualized, 7% (ICR, Mean)
Uncovered
E. coli
Crypto
E.coli
Crypto
Finished
Vlonitoring
Monitoring
Monitoring
Monitoring
Water
Review Initial
Review Initial
Review Second
Review
Technology
Reservoir
Size Category
Implementation
Vlonitoring
Monitoring
Round
Second Round
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$ 0.00
$
$
$
$
0.001
$
0.02
$
0.0000
$
0.02
$ 0.00
$
$
$
$
0.001
$
0.02
$
$
0.02
$ 0.00
$
$
$
$
0.000
$
0.01
$
$
0.01
$ 0.01
$
$
$
$
0.004
$
0.10
$
$
0.11
$ 0.02
$
$
$
$
0.004
$
0.09
$
0.0000
$
0.12
$ 0.09
$
0.004
$
0.12
$
0.0000
$
0.21
$ 0.06
$
0.001
$
0.04
$
0.0000
$
0.10
$ 0.25
$
0.002
$
0.04
$
0.0002
$
0.30
$ 0.21
$
0.000
$
0.01
$
0.0000
$
0.22
Total
$ 0.64
$
$
$
$
0.017
$
0.46
$
0.0003
$
1.12
Rule Alternative A2
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$ 0.00
$
0.00
$
0.00
$
0.00
$
0.00
0.001
$
0.02
$
0.0000
$
0.03
$ 0.00
$
0.01
$
0.01
$
0.00
$
0.00
0.001
$
0.02
$
$
0.04
$ 0.00
$
0.01
$
0.01
$
0.01
$
0.00
0.000
$
0.01
$
$
0.03
$ 0.01
$
0.06
$
0.03
$
0.03
$
0.01
0.001
$
0.03
$
-
$
0.17
$ 0.02
$
0.17
$
0.09
$
0.08
$
0.03
0.001
$
0.03
$
0.0000
$
0.42
$ 0.09
$
0.01
0.002
$
0.05
$
0.0000
$
0.14
$ 0.06
$
0.01
0.000
$
0.01
$
0.0000
$
0.08
$ 0.25
$
0.03
0.001
$
0.02
$
0.0002
$
0.30
$ 0.21
$
0.02
0.000
$
0.00
$
0.0000
$
0.24
Total
$ 0.64
$
0.25
$
0.14
$
0.12
$
0.12
0.007
$
0.18
$
0.0003
$
1.45
Rule Alternative A3
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$ 0.00
$
0.00
$
0.00
$
0.00
$
0.00
0.001
$
0.02
$
0.0000
$
0.02
$ 0.00
$
0.01
$
0.01
$
0.00
$
0.00
0.001
$
0.01
$
$
0.04
$ 0.00
$
0.01
$
0.01
$
0.01
$
0.00
0.000
$
0.01
$
$
0.03
$ 0.01
$
0.06
$
0.03
$
0.03
$
0.01
0.001
$
0.01
$
$
0.16
$ 0.02
$
0.17
$
0.09
$
0.08
$
0.03
0.000
$
0.01
$
0.0000
$
0.41
$ 0.09
$
0.01
0.002
$
0.04
$
0.0000
$
0.14
$ 0.06
$
0.01
0.000
$
0.01
$
0.0000
$
0.08
$ 0.25
$
0.03
0.001
$
0.01
$
0.0002
$
0.30
$ 0.21
$
0.02
0.000
$
0.00
$
0.0000
$
0.24
Total
$ 0.64
$
0.25
$
0.14
$
0.12
$
0.12
0.005
$
0.13
$
0.0003
$
1.41
Rule Alternative A3 UV90-10B
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$ 0.00
$
0.00
$
0.00
$
0.00
$
0.00
0.001
$
0.02
$
0.0000
$
0.02
$ 0.00
$
0.01
$
0.01
$
0.00
$
0.00
0.001
$
0.01
$
$
0.04
$ 0.00
$
0.01
$
0.01
$
0.01
$
0.00
0.000
$
0.01
$
$
0.03
$ 0.01
$
0.06
$
0.03
$
0.03
$
0.01
0.001
$
0.01
$
-
$
0.16
$ 0.02
$
0.17
$
0.09
$
0.08
$
0.03
0.000
$
0.01
$
0.0000
$
0.41
$ 0.09
$
0.01
0.002
$
0.04
$
0.0000
$
0.14
$ 0.06
$
0.01
0.000
$
0.01
$
0.0000
$
0.08
$ 0.25
$
0.03
0.001
$
0.02
$
0.0002
$
0.30
$ 0.21
$
0.02
0.000
$
0.00
$
0.0000
$
0.24
Total
$ 0.64
$
0.25
$
0.14
$
0.12
$
0.12
0.005
$
0.14
$
0.0003
$
1.41
Rule Alternative A4
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$ 0.00
$
0.00
$
0.00
$
0.00
$
0.00
0.000
$
0.01
$
0.0000
$
0.02
$ 0.00
$
0.01
$
0.01
$
0.00
$
0.00
0.000
$
0.01
$
$
0.03
$ 0.00
$
0.01
$
0.01
$
0.01
$
0.00
0.000
$
0.00
$
$
0.03
$ 0.01
$
0.06
$
0.03
$
0.03
$
0.01
0.000
$
0.01
$
$
0.15
$ 0.02
$
0.17
$
0.09
$
0.08
$
0.03
0.000
$
0.01
$
0.0000
$
0.40
$ 0.09
$
0.01
0.001
$
0.02
$
0.0000
$
0.12
$ 0.06
$
0.01
0.000
$
0.01
$
0.0000
$
0.07
$ 0.25
$
0.03
0.000
$
0.01
$
0.0002
$
0.29
$ 0.21
$
0.02
0.000
$
0.00
$
0.0000
$
0.24
Total
$ 0.64
$
0.25
$
0.14
$
0.12
$
0.12
0.003
$
0.07
$
0.0003
$
1.34
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.19b: State Costs - Annualized, 7% (ICR, Low)
Uncovered
E. coli
Crypto
E.coli
Crypto
Finished
Vlonitoring
Monitoring
Vlonitoring
Monitoring
Water
Review Initial
Review Initial
Review Second
Review
Technology
Reservoir
Size Category
Implementation
Vlonitoring
Monitoring
Round
Second Round
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
$
$
$
$
0.001
$
0.02
$
0.0000
$
0.02
$
0.00
$
$
$
$
$
0.001
$
0.02
$
$
0.02
$
0.00
$
$
$
$
$
0.000
$
0.01
$
$
0.01
$
0.01
$
$
$
$
$
0.004
$
0.10
$
$
0.11
$
0.02
$
$
$
$
$
0.004
$
0.10
$
0.0000
$
0.12
$
0.09
$
$
0.004
$
0.13
$
0.0000
$
0.22
$
0.06
$
$
0.001
$
0.04
$
0.0000
$
0.10
$
0.25
$
$
0.002
$
0.05
$
0.0002
$
0.30
$
0.21
$
$
0.000
$
0.01
$
0.0000
$
0.22
Total
$
0.64
$
$
$
$
$
0.017
$
0.47
$
0.0003
$
1.13
Rule Alternative A2
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.001
$
0.02
$
0.0000
$
0.02
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.001
$
0.02
$
$
0.04
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.001
$
0.03
$
-
$
0.17
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.001
$
0.02
$
0.0000
$
0.42
$
0.09
$
0.01
$
0.002
$
0.04
$
0.0000
$
0.14
$
0.06
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.08
$
0.25
$
0.03
$
0.001
$
0.02
$
0.0002
$
0.30
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.006
$
0.17
$
0.0003
$
1.44
Rule Alternative A3
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.001
$
0.01
$
0.0000
$
0.02
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.000
$
0.01
$
$
0.15
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.000
$
0.01
$
0.0000
$
0.41
$
0.09
$
0.01
$
0.001
$
0.04
$
0.0000
$
0.14
$
0.06
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.08
$
0.25
$
0.03
$
0.000
$
0.01
$
0.0002
$
0.29
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.004
$
0.12
$
0.0003
$
1.39
Rule Alternative A3 UV90-10B
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.001
$
0.01
$
0.0000
$
0.02
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.000
$
0.01
$
-
$
0.15
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.000
$
0.01
$
0.0000
$
0.41
$
0.09
$
0.01
$
0.001
$
0.04
$
0.0000
$
0.14
$
0.06
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.08
$
0.25
$
0.03
$
0.000
$
0.01
$
0.0002
$
0.29
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.004
$
0.12
$
0.0003
$
1.40
Rule Alternative A4
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.000
$
0.01
$
0.0000
$
0.01
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.00
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.000
$
0.01
$
$
0.15
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.000
$
0.00
$
0.0000
$
0.40
$
0.09
$
0.01
$
0.001
$
0.02
$
0.0000
$
0.11
$
0.06
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.07
$
0.25
$
0.03
$
0.000
$
0.01
$
0.0002
$
0.29
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.002
$
0.06
$
0.0003
$
1.33
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.19c: State Costs - Annualized, 7% (ICR, High)
Uncovered
E. coli
Crypto
E.coli
Crypto
Finished
Vlonitoring
Monitoring
Vlonitoring
Monitoring
Water
Review Initial
Review Initial
Review Second
Review
Technology
Reservoir
Size Category
Implementation
Vlonitoring
Monitoring
Round
Second Round
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
$
$
$
$
0.001
$
0.02
$
0.0000
$
0.02
$
0.00
$
$
$
$
$
0.001
$
0.02
$
$
0.02
$
0.00
$
$
$
$
$
0.000
$
0.01
$
$
0.01
$
0.01
$
$
$
$
$
0.004
$
0.10
$
$
0.11
$
0.02
$
$
$
$
$
0.004
$
0.10
$
0.0000
$
0.12
$
0.09
$
$
0.004
$
0.13
$
0.0000
$
0.22
$
0.06
$
$
0.001
$
0.04
$
0.0000
$
0.10
$
0.25
$
$
0.002
$
0.05
$
0.0002
$
0.30
$
0.21
$
$
0.000
$
0.01
$
0.0000
$
0.22
Total
$
0.64
$
$
$
$
$
0.017
$
0.47
$
0.0003
$
1.13
Rule Alternative A2
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.001
$
0.02
$
0.0000
$
0.03
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.001
$
0.02
$
$
0.04
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.001
$
0.03
$
-
$
0.17
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.001
$
0.03
$
0.0000
$
0.43
$
0.09
$
0.01
$
0.002
$
0.05
$
0.0000
$
0.15
$
0.06
$
0.01
$
0.001
$
0.02
$
0.0000
$
0.08
$
0.25
$
0.03
$
0.001
$
0.02
$
0.0002
$
0.30
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.007
$
0.20
$
0.0003
$
1.47
Rule Alternative A3
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.001
$
0.02
$
0.0000
$
0.02
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.001
$
0.01
$
$
0.04
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.001
$
0.02
$
$
0.16
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.001
$
0.01
$
0.0000
$
0.41
$
0.09
$
0.01
$
0.002
$
0.05
$
0.0000
$
0.14
$
0.06
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.08
$
0.25
$
0.03
$
0.001
$
0.02
$
0.0002
$
0.30
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.005
$
0.15
$
0.0003
$
1.42
Rule Alternative A3 UV90-10B
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.001
$
0.02
$
0.0000
$
0.02
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.001
$
0.01
$
$
0.04
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.001
$
0.02
$
-
$
0.16
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.001
$
0.01
$
0.0000
$
0.41
$
0.09
$
0.01
$
0.002
$
0.05
$
0.0000
$
0.14
$
0.06
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.08
$
0.25
$
0.03
$
0.001
$
0.02
$
0.0002
$
0.30
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.005
$
0.15
$
0.0003
$
1.42
Rule Alternative A4
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.000
$
0.01
$
0.0000
$
0.01
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.00
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.000
$
0.01
$
$
0.15
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.000
$
0.01
$
0.0000
$
0.40
$
0.09
$
0.01
$
0.001
$
0.02
$
0.0000
$
0.12
$
0.06
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.07
$
0.25
$
0.03
$
0.000
$
0.01
$
0.0002
$
0.29
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.003
$
0.07
$
0.0003
$
1.34
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.19d: State Costs - Annualized, 7% (ICRSSM, Mean)
Uncovered
E. coli
Crypto
E.coli
Crypto
Finished
Vlonitoring
Monitoring
Vlonitoring
Monitoring
Water
Review Initial
Review Initial
Review Second
Review
Technology
Reservoir
Size Category
Implementation
Vlonitoring
Monitoring
Round
Second Round
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
$
$
$
$
0.001
$
0.02
$
0.0000
$
0.02
$
0.00
$
$
$
$
$
0.001
$
0.02
$
$
0.02
$
0.00
$
$
$
$
$
0.000
$
0.01
$
$
0.01
$
0.01
$
$
$
$
$
0.004
$
0.10
$
$
0.11
$
0.02
$
$
$
$
$
0.004
$
0.10
$
0.0000
$
0.12
$
0.09
$
$
0.004
$
0.13
$
0.0000
$
0.22
$
0.06
$
$
0.001
$
0.04
$
0.0000
$
0.10
$
0.25
$
$
0.002
$
0.05
$
0.0002
$
0.30
$
0.21
$
$
0.000
$
0.01
$
0.0000
$
0.22
Total
$
0.64
$
$
$
$
$
0.017
$
0.47
$
0.0003
$
1.13
Rule Alternative A2
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.001
$
0.01
$
0.0000
$
0.02
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.04
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.001
$
0.02
$
-
$
0.16
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.001
$
0.02
$
0.0000
$
0.42
$
0.09
$
0.01
$
0.001
$
0.04
$
0.0000
$
0.14
$
0.06
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.08
$
0.25
$
0.03
$
0.000
$
0.01
$
0.0002
$
0.29
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.005
$
0.14
$
0.0003
$
1.41
Rule Alternative A3
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.000
$
0.01
$
0.0000
$
0.02
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.000
$
0.01
$
$
0.15
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.000
$
0.01
$
0.0000
$
0.40
$
0.09
$
0.01
$
0.001
$
0.03
$
0.0000
$
0.13
$
0.06
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.08
$
0.25
$
0.03
$
0.000
$
0.01
$
0.0002
$
0.29
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.004
$
0.10
$
0.0003
$
1.37
Rule Alternative A3 UV90-10B
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.000
$
0.01
$
0.0000
$
0.02
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.000
$
0.01
$
-
$
0.15
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.000
$
0.01
$
0.0000
$
0.40
$
0.09
$
0.01
$
0.001
$
0.03
$
0.0000
$
0.13
$
0.06
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.08
$
0.25
$
0.03
$
0.000
$
0.01
$
0.0002
$
0.29
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.004
$
0.10
$
0.0003
$
1.37
Rule Alternative A4
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.000
$
0.01
$
0.0000
$
0.01
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.00
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.000
$
0.00
$
$
0.15
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.000
$
0.00
$
0.0000
$
0.40
$
0.09
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.11
$
0.06
$
0.01
$
0.000
$
0.00
$
0.0000
$
0.07
$
0.25
$
0.03
$
0.000
$
0.00
$
0.0002
$
0.28
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.002
$
0.05
$
0.0003
$
1.32
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.19e: State Costs - Annualized, 7% (ICRSSM, Low)
Uncovered
E. coli
Crypto
E.coli
Crypto
Finished
Vlonitoring
Monitoring
Monitoring
Monitoring
Water
Review Initial
Review Initial
Review Second
Review
Technology
Reservoir
Size Category
Implementation
Vlonitoring
Monitoring
Round
Second Round
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
$
$
$
$
0.001
$
0.02
$
0.0000
$
0.02
$
0.00
$
$
$
$
$
0.001
$
0.02
$
$
0.02
$
0.00
$
$
$
$
$
0.000
$
0.01
$
$
0.01
$
0.01
$
$
$
$
$
0.004
$
0.10
$
$
0.11
$
0.02
$
$
$
$
$
0.004
$
0.10
$
0.0000
$
0.12
$
0.09
$
$
0.004
$
0.13
$
0.0000
$
0.22
$
0.06
$
$
0.001
$
0.04
$
0.0000
$
0.10
$
0.25
$
$
0.002
$
0.05
$
0.0002
$
0.30
$
0.21
$
$
0.000
$
0.01
$
0.0000
$
0.22
Total
$
0.64
$
$
$
$
$
0.017
$
0.47
$
0.0003
$
1.13
Rule Alternative A2
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.001
$
0.01
$
0.0000
$
0.02
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.001
$
0.02
$
-
$
0.16
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.001
$
0.02
$
0.0000
$
0.41
$
0.09
$
0.01
$
0.001
$
0.03
$
0.0000
$
0.13
$
0.06
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.08
$
0.25
$
0.03
$
0.000
$
0.01
$
0.0002
$
0.29
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.005
$
0.13
$
0.0003
$
1.40
Rule Alternative A3
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.000
$
0.01
$
0.0000
$
0.02
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.00
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.000
$
0.01
$
$
0.15
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.000
$
0.01
$
0.0000
$
0.40
$
0.09
$
0.01
$
0.001
$
0.03
$
0.0000
$
0.13
$
0.06
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.08
$
0.25
$
0.03
$
0.000
$
0.01
$
0.0002
$
0.29
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.003
$
0.09
$
0.0003
$
1.36
Rule Alternative A3 UV90-10B
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.000
$
0.01
$
0.0000
$
0.02
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.00
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.000
$
0.01
$
-
$
0.15
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.000
$
0.01
$
0.0000
$
0.40
$
0.09
$
0.01
$
0.001
$
0.03
$
0.0000
$
0.13
$
0.06
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.08
$
0.25
$
0.03
$
0.000
$
0.01
$
0.0002
$
0.29
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.003
$
0.09
$
0.0003
$
1.36
Rule Alternative A4
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.000
$
0.01
$
0.0000
$
0.01
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.00
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.000
$
0.00
$
$
0.15
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.000
$
0.00
$
0.0000
$
0.40
$
0.09
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.11
$
0.06
$
0.01
$
0.000
$
0.00
$
0.0000
$
0.07
$
0.25
$
0.03
$
0.000
$
0.00
$
0.0002
$
0.28
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.002
$
0.05
$
0.0003
$
1.32
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.19f: State Costs - Annualized, 7% (ICRSSM, High)
Uncovered
E. coli
Crypto
E.coli
Crypto
Finished
Vlonitoring
Monitoring
Monitoring
Monitoring
Water
Review Initial
Review Initial
Review Second
Review
Technology
Reservoir
Size Category
Implementation
Vlonitoring
Monitoring
Round
Second Round
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
$
$
$
$
0.001
$
0.02
$
0.0000
$
0.02
$
0.00
$
$
$
$
$
0.001
$
0.02
$
$
0.02
$
0.00
$
$
$
$
$
0.000
$
0.01
$
$
0.01
$
0.01
$
$
$
$
$
0.004
$
0.10
$
$
0.11
$
0.02
$
$
$
$
$
0.004
$
0.10
$
0.0000
$
0.12
$
0.09
$
$
0.004
$
0.13
$
0.0000
$
0.22
$
0.06
$
$
0.001
$
0.04
$
0.0000
$
0.10
$
0.25
$
$
0.002
$
0.05
$
0.0002
$
0.30
$
0.21
$
$
0.000
$
0.01
$
0.0000
$
0.22
Total
$
0.64
$
$
$
$
$
0.017
$
0.47
$
0.0003
$
1.13
Rule Alternative A2
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.001
$
0.02
$
0.0000
$
0.02
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.001
$
0.01
$
$
0.04
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.001
$
0.02
$
-
$
0.16
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.001
$
0.02
$
0.0000
$
0.42
$
0.09
$
0.01
$
0.002
$
0.04
$
0.0000
$
0.14
$
0.06
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.08
$
0.25
$
0.03
$
0.001
$
0.01
$
0.0002
$
0.30
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.006
$
0.15
$
0.0003
$
1.42
Rule Alternative A3
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.000
$
0.01
$
0.0000
$
0.02
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.000
$
0.01
$
$
0.15
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.000
$
0.01
$
0.0000
$
0.40
$
0.09
$
0.01
$
0.001
$
0.04
$
0.0000
$
0.13
$
0.06
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.08
$
0.25
$
0.03
$
0.000
$
0.01
$
0.0002
$
0.29
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.004
$
0.11
$
0.0003
$
1.38
Rule Alternative A3 UV90-10B
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.000
$
0.01
$
0.0000
$
0.02
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.000
$
0.01
$
-
$
0.15
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.000
$
0.01
$
0.0000
$
0.40
$
0.09
$
0.01
$
0.001
$
0.04
$
0.0000
$
0.13
$
0.06
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.08
$
0.25
$
0.03
$
0.000
$
0.01
$
0.0002
$
0.29
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.004
$
0.11
$
0.0003
$
1.38
Rule Alternative A4
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.000
$
0.01
$
0.0000
$
0.01
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.00
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.000
$
0.01
$
$
0.15
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.000
$
0.00
$
0.0000
$
0.40
$
0.09
$
0.01
$
0.001
$
0.01
$
0.0000
$
0.11
$
0.06
$
0.01
$
0.000
$
0.00
$
0.0000
$
0.07
$
0.25
$
0.03
$
0.000
$
0.00
$
0.0002
$
0.29
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.002
$
0.06
$
0.0003
$
1.33
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.19g: State Costs - Annualized, 7% (ICRSSL, Mean)
Uncovered
E. coli
Crypto
E.coli
Crypto
Finished
Vlonitoring
Monitoring
Monitoring
Monitoring
Water
Review Initial
Review Initial
Review Second
Review
Technology
Reservoir
Size Category
Implementation
Vlonitoring
Monitoring
Round
Second Round
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
$
$
$
$
0.001
$
0.02
$
0.0000
$
0.02
$
0.00
$
$
$
$
$
0.001
$
0.02
$
$
0.02
$
0.00
$
$
$
$
$
0.000
$
0.01
$
$
0.01
$
0.01
$
$
$
$
$
0.004
$
0.10
$
-
$
0.11
$
0.02
$
$
$
$
$
0.004
$
0.10
$
0.0000
$
0.12
$
0.09
$
$
0.004
$
0.13
$
0.0000
$
0.22
$
0.06
$
$
0.001
$
0.04
$
0.0000
$
0.10
$
0.25
$
$
0.002
$
0.05
$
0.0002
$
0.30
$
0.21
$
$
0.000
$
0.01
$
0.0000
$
0.22
Total
$
0.64
$
$
$
$
$
0.017
$
0.47
$
0.0003
$
1.13
Rule Alternative A2
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.000
$
0.01
$
0.0000
$
0.02
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.001
$
0.02
$
-
$
0.16
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.001
$
0.02
$
0.0000
$
0.41
$
0.09
$
0.01
$
0.001
$
0.03
$
0.0000
$
0.13
$
0.06
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.08
$
0.25
$
0.03
$
0.000
$
0.01
$
0.0002
$
0.29
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.004
$
0.12
$
0.0003
$
1.39
Rule Alternative A3
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.000
$
0.01
$
0.0000
$
0.02
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.00
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.000
$
0.01
$
-
$
0.15
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.000
$
0.01
$
0.0000
$
0.40
$
0.09
$
0.01
$
0.001
$
0.03
$
0.0000
$
0.12
$
0.06
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.07
$
0.25
$
0.03
$
0.000
$
0.01
$
0.0002
$
0.29
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.003
$
0.08
$
0.0003
$
1.35
Rule Alternative A3 UV90-10B
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.000
$
0.01
$
0.0000
$
0.02
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.00
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.000
$
0.01
$
-
$
0.15
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.000
$
0.01
$
0.0000
$
0.40
$
0.09
$
0.01
$
0.001
$
0.03
$
0.0000
$
0.12
$
0.06
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.08
$
0.25
$
0.03
$
0.000
$
0.01
$
0.0002
$
0.29
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.003
$
0.08
$
0.0003
$
1.36
Rule Alternative A4
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.000
$
0.01
$
0.0000
$
0.01
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.00
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.000
$
0.00
$
-
$
0.15
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.000
$
0.00
$
0.0000
$
0.40
$
0.09
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.11
$
0.06
$
0.01
$
0.000
$
0.00
$
0.0000
$
0.07
$
0.25
$
0.03
$
0.000
$
0.00
$
0.0002
$
0.28
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.002
$
0.05
$
0.0003
$
1.32
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.19h: State Costs - Annualized, 7% (ICRSSL, Low)
Uncovered
E. coli
Crypto
E.coli
Crypto
Finished
Vlonitoring
Monitoring
Monitoring
Monitoring
Water
Review Initial
Review Initial
Review Second
Review
Technology
Reservoir
Size Category
Implementation
Vlonitoring
Monitoring
Round
Second Round
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
$
$
$
$
0.001
$
0.02
$
0.0000
$
0.02
$
0.00
$
$
$
$
$
0.001
$
0.02
$
$
0.02
$
0.00
$
$
$
$
$
0.000
$
0.01
$
$
0.01
$
0.01
$
$
$
$
$
0.004
$
0.10
$
$
0.11
$
0.02
$
$
$
$
$
0.004
$
0.10
$
0.0000
$
0.12
$
0.09
$
$
0.004
$
0.13
$
0.0000
$
0.22
$
0.06
$
$
0.001
$
0.04
$
0.0000
$
0.10
$
0.25
$
$
0.002
$
0.05
$
0.0002
$
0.30
$
0.21
$
$
0.000
$
0.01
$
0.0000
$
0.22
Total
$
0.64
$
$
$
$
$
0.017
$
0.47
$
0.0003
$
1.13
Rule Alternative A2
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.000
$
0.01
$
0.0000
$
0.02
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.001
$
0.01
$
-
$
0.16
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.000
$
0.01
$
0.0000
$
0.41
$
0.09
$
0.01
$
0.001
$
0.03
$
0.0000
$
0.12
$
0.06
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.08
$
0.25
$
0.03
$
0.000
$
0.01
$
0.0002
$
0.29
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.004
$
0.10
$
0.0003
$
1.37
Rule Alternative A3
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.000
$
0.01
$
0.0000
$
0.02
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.00
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.000
$
0.01
$
$
0.15
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.000
$
0.00
$
0.0000
$
0.40
$
0.09
$
0.01
$
0.001
$
0.02
$
0.0000
$
0.12
$
0.06
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.07
$
0.25
$
0.03
$
0.000
$
0.01
$
0.0002
$
0.29
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.003
$
0.07
$
0.0003
$
1.34
Rule Alternative A3 UV90-10B
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.000
$
0.01
$
0.0000
$
0.02
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.00
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.000
$
0.01
$
-
$
0.15
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.000
$
0.01
$
0.0000
$
0.40
$
0.09
$
0.01
$
0.001
$
0.02
$
0.0000
$
0.12
$
0.06
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.07
$
0.25
$
0.03
$
0.000
$
0.01
$
0.0002
$
0.29
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.003
$
0.07
$
0.0003
$
1.34
Rule Alternative A4
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.000
$
0.01
$
0.0000
$
0.01
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.00
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.000
$
0.00
$
$
0.15
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.000
$
0.00
$
0.0000
$
0.40
$
0.09
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.10
$
0.06
$
0.01
$
0.000
$
0.00
$
0.0000
$
0.07
$
0.25
$
0.03
$
0.000
$
0.00
$
0.0002
$
0.28
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.002
$
0.04
$
0.0003
$
1.31
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.19i: State Costs - Annualized, 7% (ICRSSL, High)
Uncovered
E. coli
Crypto
E.coli
Crypto
Finished
Vlonitoring
Monitoring
Monitoring
Monitoring
Water
Review Initial
Review Initial
Review Second
Review
Technology
Reservoir
Size Category
Implementation
Vlonitoring
Monitoring
Round
Second Round
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
Rule Alternative A1
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
$
$
$
$
0.001
$
0.02
$
0.0000
$
0.02
$
0.00
$
$
$
$
$
0.001
$
0.02
$
$
0.02
$
0.00
$
$
$
$
$
0.000
$
0.01
$
$
0.01
$
0.01
$
$
$
$
$
0.004
$
0.10
$
$
0.11
$
0.02
$
$
$
$
$
0.004
$
0.10
$
0.0000
$
0.12
$
0.09
$
$
0.004
$
0.13
$
0.0000
$
0.22
$
0.06
$
$
0.001
$
0.04
$
0.0000
$
0.10
$
0.25
$
$
0.002
$
0.05
$
0.0002
$
0.30
$
0.21
$
$
0.000
$
0.01
$
0.0000
$
0.22
Total
$
0.64
$
$
$
$
$
0.017
$
0.47
$
0.0003
$
1.13
Rule Alternative A2
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.001
$
0.01
$
0.0000
$
0.02
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.001
$
0.02
$
-
$
0.16
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.001
$
0.02
$
0.0000
$
0.41
$
0.09
$
0.01
$
0.001
$
0.04
$
0.0000
$
0.13
$
0.06
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.08
$
0.25
$
0.03
$
0.000
$
0.01
$
0.0002
$
0.29
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.005
$
0.13
$
0.0003
$
1.41
Rule Alternative A3
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.000
$
0.01
$
0.0000
$
0.02
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.00
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.000
$
0.01
$
$
0.15
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.000
$
0.01
$
0.0000
$
0.40
$
0.09
$
0.01
$
0.001
$
0.03
$
0.0000
$
0.13
$
0.06
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.08
$
0.25
$
0.03
$
0.000
$
0.01
$
0.0002
$
0.29
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.003
$
0.09
$
0.0003
$
1.36
Rule Alternative A3 UV90-10B
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.000
$
0.01
$
0.0000
$
0.02
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.00
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.000
$
0.01
$
-
$
0.15
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.000
$
0.01
$
0.0000
$
0.40
$
0.09
$
0.01
$
0.001
$
0.03
$
0.0000
$
0.13
$
0.06
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.08
$
0.25
$
0.03
$
0.000
$
0.01
$
0.0002
$
0.29
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.003
$
0.09
$
0.0003
$
1.36
Rule Alternative A4
<100
100-499
500-999
1,000-3,299
3,300-9,999
10,000-49,999
50,000-99,999
100,000-999,999
1,000,000+
$
0.00
$
0.00
$
0.00
$
0.00
$
0.00
$
0.000
$
0.01
$
0.0000
$
0.01
$
0.00
$
0.01
$
0.01
$
0.00
$
0.00
$
0.000
$
0.01
$
$
0.03
$
0.00
$
0.01
$
0.01
$
0.01
$
0.00
$
0.000
$
0.00
$
$
0.03
$
0.01
$
0.06
$
0.03
$
0.03
$
0.01
$
0.000
$
0.00
$
$
0.15
$
0.02
$
0.17
$
0.09
$
0.08
$
0.03
$
0.000
$
0.00
$
0.0000
$
0.40
$
0.09
$
0.01
$
0.000
$
0.01
$
0.0000
$
0.11
$
0.06
$
0.01
$
0.000
$
0.00
$
0.0000
$
0.07
$
0.25
$
0.03
$
0.000
$
0.00
$
0.0002
$
0.28
$
0.21
$
0.02
$
0.000
$
0.00
$
0.0000
$
0.24
Total
$
0.64
$
0.25
$
0.14
$
0.12
$
0.12
$
0.002
$
0.05
$
0.0003
$
1.32
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit Q.20a: Implementation & Monitoring - Annualized, 7% (ICR, Mean)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.02
$
$
$
$
$
$
$ 0.00
$ 0.09
$ 0.000
$ 0.11
100-499
$ 0.02
$
$
$
$
$
$
$ 0.00
$ 0.08
$
$ 0.11
500-999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.05
$
$ 0.06
1,000-3,299
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.55
$
$ 0.58
3,300-9,999
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.52
$ 0.000
$ 0.54
10,000-49,999
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.67
$ 0.001
$ 0.70
50,000-99,999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.20
$ 0.000
$ 0.21
100,000-999,99<
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.28
$ 0.001
$ 0.29
1,000,000+
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.05
$ 0.000
$ 0.05
Total
$ 0.12
$
$
$
$
$
$
$ 0.03
$ 2.49
$ 0.002
$ 2.64
Rule Alternative A2
<100
$ 0.02
$ 0.15
$ 1.16
$ 0.01
$ 0.07
$ 0.54
$ 0.01
$ 0.00
$ 0.08
$ 0.000
$ 2.03
100-499
$ 0.02
$ 0.17
$ 1.27
$ 0.01
$ 0.08
$ 0.60
$ 0.01
$ 0.00
$ 0.07
$
$ 2.24
500-999
$ 0.01
$ 0.07
$ 0.53
$ 0.01
$ 0.03
$ 0.25
$ 0.00
$ 0.00
$ 0.04
$
$ 0.94
1,000-3,299
$ 0.02
$ 0.14
$ 1.07
$ 0.01
$ 0.06
$ 0.44
$ 0.01
$ 0.00
$ 0.15
$
$ 1.90
3,300-9,999
$ 0.02
$ 0.13
$ 0.98
$ 0.01
$ 0.05
$ 0.40
$ 0.01
$ 0.00
$ 0.14
$ 0.000
$ 1.74
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.03
$ 0.41
$ 0.01
$ 0.00
$ 0.25
$ 0.001
$ 1.96
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.11
$ 0.00
$ 0.00
$ 0.08
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.13
$ 0.00
$ 0.00
$ 0.10
$ 0.001
$ 0.64
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 6.87
$ 0.09
$ 0.33
$ 2.90
$ 0.04
$ 0.01
$ 0.94
$ 0.002
$12.08
Rule Alternative A3
<100
$ 0.02
$ 0.15
$ 0.40
$ 0.01
$ 0.07
$ 0.19
$ 0.01
$ 0.00
$ 0.06
$ 0.000
$ 0.92
100-499
$ 0.02
$ 0.17
$ 0.44
$ 0.01
$ 0.08
$ 0.22
$ 0.01
$ 0.00
$ 0.06
$
$ 1.01
500-999
$ 0.01
$ 0.07
$ 0.19
$ 0.01
$ 0.03
$ 0.09
$ 0.00
$ 0.00
$ 0.03
$
$ 0.43
1,000-3,299
$ 0.02
$ 0.14
$ 0.38
$ 0.01
$ 0.07
$ 0.18
$ 0.01
$ 0.00
$ 0.08
$
$ 0.89
3,300-9,999
$ 0.02
$ 0.13
$ 0.35
$ 0.01
$ 0.06
$ 0.16
$ 0.01
$ 0.00
$ 0.07
$ 0.000
$ 0.81
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.03
$ 0.43
$ 0.01
$ 0.00
$ 0.23
$ 0.001
$ 1.96
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.11
$ 0.00
$ 0.00
$ 0.07
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.14
$ 0.00
$ 0.00
$ 0.09
$ 0.001
$ 0.63
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 3.63
$ 0.09
$ 0.36
$ 1.54
$ 0.04
$ 0.01
$ 0.71
$ 0.002
$ 7.28
Rule Alternative A3 UV90-10B
<100
$ 0.02
$ 0.15
$ 0.40
$ 0.01
$ 0.07
$ 0.19
$ 0.01
$ 0.00
$ 0.06
$ 0.000
$ 0.92
100-499
$ 0.02
$ 0.17
$ 0.44
$ 0.01
$ 0.08
$ 0.22
$ 0.01
$ 0.00
$ 0.06
$
$ 1.01
500-999
$ 0.01
$ 0.07
$ 0.19
$ 0.01
$ 0.03
$ 0.09
$ 0.00
$ 0.00
$ 0.03
$
$ 0.43
1,000-3,299
$ 0.02
$ 0.14
$ 0.38
$ 0.01
$ 0.07
$ 0.18
$ 0.01
$ 0.00
$ 0.08
$
$ 0.89
3,300-9,999
$ 0.02
$ 0.13
$ 0.35
$ 0.01
$ 0.06
$ 0.16
$ 0.01
$ 0.00
$ 0.07
$ 0.000
$ 0.81
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.03
$ 0.43
$ 0.01
$ 0.00
$ 0.24
$ 0.001
$ 1.96
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.11
$ 0.00
$ 0.00
$ 0.07
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.14
$ 0.00
$ 0.00
$ 0.09
$ 0.001
$ 0.63
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 3.63
$ 0.09
$ 0.36
$ 1.54
$ 0.04
$ 0.01
$ 0.71
$ 0.002
$ 7.28
Rule Alternative A4
<100
$ 0.02
$ 0.15
$ 0.35
$ 0.01
$ 0.07
$ 0.18
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.83
100-499
$ 0.02
$ 0.17
$ 0.39
$ 0.01
$ 0.08
$ 0.20
$ 0.01
$ 0.00
$ 0.04
$
$ 0.92
500-999
$ 0.01
$ 0.07
$ 0.16
$ 0.01
$ 0.03
$ 0.08
$ 0.00
$ 0.00
$ 0.02
$
$ 0.39
1,000-3,299
$ 0.02
$ 0.14
$ 0.33
$ 0.01
$ 0.07
$ 0.17
$ 0.01
$ 0.00
$ 0.03
$
$ 0.79
3,300-9,999
$ 0.02
$ 0.13
$ 0.31
$ 0.01
$ 0.07
$ 0.15
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.73
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.04
$ 0.54
$ 0.01
$ 0.00
$ 0.11
$ 0.001
$ 1.95
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.14
$ 0.00
$ 0.00
$ 0.03
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.17
$ 0.00
$ 0.00
$ 0.04
$ 0.001
$ 0.62
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 3.40
$ 0.09
$ 0.39
$ 1.65
$ 0.04
$ 0.00
$ 0.36
$ 0.002
$ 6.85
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit Q.20b: Implementation & Monitoring - Annualized, 7% (ICR, Low)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.02
$
$
$
$
$
$
$ 0.00
$ 0.09
$ 0.000
$ 0.11
100-499
$ 0.02
$
$
$
$
$
$
$ 0.00
$ 0.08
$
$ 0.11
500-999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.05
$
$ 0.06
1,000-3,299
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.55
$
$ 0.58
3,300-9,999
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.52
$ 0.000
$ 0.54
10,000-49,999
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.71
$ 0.001
$ 0.74
50,000-99,999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.21
$ 0.000
$ 0.22
100,000-999,99<
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.29
$ 0.001
$ 0.30
1,000,000+
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.05
$ 0.000
$ 0.05
Total
$ 0.12
$
$
$
$
$
$
$ 0.03
$ 2.55
$ 0.002
$ 2.71
Rule Alternative A2
<100
$ 0.02
$ 0.15
$ 1.16
$ 0.01
$ 0.07
$ 0.55
$ 0.01
$ 0.00
$ 0.07
$ 0.000
$ 2.04
100-499
$ 0.02
$ 0.17
$ 1.27
$ 0.01
$ 0.08
$ 0.61
$ 0.01
$ 0.00
$ 0.07
$
$ 2.24
500-999
$ 0.01
$ 0.07
$ 0.53
$ 0.01
$ 0.03
$ 0.25
$ 0.00
$ 0.00
$ 0.04
$
$ 0.94
1,000-3,299
$ 0.02
$ 0.14
$ 1.07
$ 0.01
$ 0.06
$ 0.45
$ 0.01
$ 0.00
$ 0.14
$
$ 1.90
3,300-9,999
$ 0.02
$ 0.13
$ 0.98
$ 0.01
$ 0.05
$ 0.41
$ 0.01
$ 0.00
$ 0.13
$ 0.000
$ 1.74
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.03
$ 0.42
$ 0.01
$ 0.00
$ 0.24
$ 0.001
$ 1.96
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.11
$ 0.00
$ 0.00
$ 0.07
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.14
$ 0.00
$ 0.00
$ 0.10
$ 0.001
$ 0.64
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 6.87
$ 0.09
$ 0.34
$ 2.96
$ 0.04
$ 0.01
$ 0.88
$ 0.002
$12.08
Rule Alternative A3
<100
$ 0.02
$ 0.15
$ 0.37
$ 0.01
$ 0.07
$ 0.18
$ 0.01
$ 0.00
$ 0.06
$ 0.000
$ 0.87
100-499
$ 0.02
$ 0.17
$ 0.41
$ 0.01
$ 0.08
$ 0.20
$ 0.01
$ 0.00
$ 0.05
$
$ 0.96
500-999
$ 0.01
$ 0.07
$ 0.17
$ 0.01
$ 0.03
$ 0.08
$ 0.00
$ 0.00
$ 0.03
$
$ 0.41
1,000-3,299
$ 0.02
$ 0.14
$ 0.35
$ 0.01
$ 0.07
$ 0.17
$ 0.01
$ 0.00
$ 0.07
$
$ 0.84
3,300-9,999
$ 0.02
$ 0.13
$ 0.33
$ 0.01
$ 0.06
$ 0.15
$ 0.01
$ 0.00
$ 0.06
$ 0.000
$ 0.77
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.03
$ 0.45
$ 0.01
$ 0.00
$ 0.22
$ 0.001
$ 1.96
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.11
$ 0.00
$ 0.00
$ 0.06
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.14
$ 0.00
$ 0.00
$ 0.09
$ 0.001
$ 0.63
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 3.51
$ 0.09
$ 0.36
$ 1.52
$ 0.04
$ 0.01
$ 0.64
$ 0.002
$ 7.08
Rule Alternative A3 UV90-10B
<100
$ 0.02
$ 0.15
$ 0.37
$ 0.01
$ 0.07
$ 0.18
$ 0.01
$ 0.00
$ 0.06
$ 0.000
$ 0.87
100-499
$ 0.02
$ 0.17
$ 0.41
$ 0.01
$ 0.08
$ 0.20
$ 0.01
$ 0.00
$ 0.05
$
$ 0.96
500-999
$ 0.01
$ 0.07
$ 0.17
$ 0.01
$ 0.03
$ 0.08
$ 0.00
$ 0.00
$ 0.03
$
$ 0.41
1,000-3,299
$ 0.02
$ 0.14
$ 0.35
$ 0.01
$ 0.07
$ 0.17
$ 0.01
$ 0.00
$ 0.07
$
$ 0.84
3,300-9,999
$ 0.02
$ 0.13
$ 0.33
$ 0.01
$ 0.06
$ 0.15
$ 0.01
$ 0.00
$ 0.06
$ 0.000
$ 0.77
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.03
$ 0.44
$ 0.01
$ 0.00
$ 0.22
$ 0.001
$ 1.96
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.11
$ 0.00
$ 0.00
$ 0.07
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.14
$ 0.00
$ 0.00
$ 0.09
$ 0.001
$ 0.63
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 3.51
$ 0.09
$ 0.36
$ 1.51
$ 0.04
$ 0.01
$ 0.65
$ 0.002
$ 7.08
Rule Alternative A4
<100
$ 0.02
$ 0.15
$ 0.32
$ 0.01
$ 0.08
$ 0.16
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.79
100-499
$ 0.02
$ 0.17
$ 0.36
$ 0.01
$ 0.08
$ 0.18
$ 0.01
$ 0.00
$ 0.03
$
$ 0.87
500-999
$ 0.01
$ 0.07
$ 0.15
$ 0.01
$ 0.03
$ 0.07
$ 0.00
$ 0.00
$ 0.02
$
$ 0.37
1,000-3,299
$ 0.02
$ 0.14
$ 0.31
$ 0.01
$ 0.07
$ 0.15
$ 0.01
$ 0.00
$ 0.03
$
$ 0.75
3,300-9,999
$ 0.02
$ 0.13
$ 0.28
$ 0.01
$ 0.07
$ 0.14
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.69
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.04
$ 0.55
$ 0.01
$ 0.00
$ 0.10
$ 0.001
$ 1.95
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.14
$ 0.00
$ 0.00
$ 0.03
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.17
$ 0.00
$ 0.00
$ 0.04
$ 0.001
$ 0.62
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 3.29
$ 0.09
$ 0.39
$ 1.61
$ 0.04
$ 0.00
$ 0.32
$ 0.002
$ 6.66
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit Q.20c: Implementation & Monitoring - Annualized, 7% (ICR, High)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.02
$
$
$
$
$
$
$ 0.00
$ 0.09
$ 0.000
$ 0.11
100-499
$ 0.02
$
$
$
$
$
$
$ 0.00
$ 0.08
$
$ 0.11
500-999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.05
$
$ 0.06
1,000-3,299
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.55
$
$ 0.58
3,300-9,999
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.52
$ 0.000
$ 0.54
10,000-49,999
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.71
$ 0.001
$ 0.74
50,000-99,999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.21
$ 0.000
$ 0.22
100,000-999,99<
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.29
$ 0.001
$ 0.30
1,000,000+
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.05
$ 0.000
$ 0.05
Total
$ 0.12
$
$
$
$
$
$
$ 0.03
$ 2.55
$ 0.002
$ 2.71
Rule Alternative A2
<100
$ 0.02
$ 0.15
$ 1.16
$ 0.01
$ 0.07
$ 0.53
$ 0.01
$ 0.00
$ 0.09
$ 0.000
$ 2.03
100-499
$ 0.02
$ 0.17
$ 1.27
$ 0.01
$ 0.08
$ 0.60
$ 0.01
$ 0.00
$ 0.08
$
$ 2.24
500-999
$ 0.01
$ 0.07
$ 0.53
$ 0.01
$ 0.03
$ 0.24
$ 0.00
$ 0.00
$ 0.05
$
$ 0.94
1,000-3,299
$ 0.02
$ 0.14
$ 1.07
$ 0.01
$ 0.05
$ 0.42
$ 0.01
$ 0.00
$ 0.17
$
$ 1.90
3,300-9,999
$ 0.02
$ 0.13
$ 0.98
$ 0.01
$ 0.05
$ 0.39
$ 0.01
$ 0.00
$ 0.15
$ 0.000
$ 1.74
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.03
$ 0.38
$ 0.01
$ 0.00
$ 0.29
$ 0.001
$ 1.96
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.10
$ 0.00
$ 0.00
$ 0.09
$ 0.000
$ 0.52
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.12
$ 0.00
$ 0.00
$ 0.12
$ 0.001
$ 0.64
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 6.87
$ 0.09
$ 0.32
$ 2.80
$ 0.03
$ 0.01
$ 1.04
$ 0.002
$12.08
Rule Alternative A3
<100
$ 0.02
$ 0.15
$ 0.45
$ 0.01
$ 0.07
$ 0.22
$ 0.01
$ 0.00
$ 0.07
$ 0.000
$ 0.99
100-499
$ 0.02
$ 0.17
$ 0.50
$ 0.01
$ 0.08
$ 0.24
$ 0.01
$ 0.00
$ 0.06
$
$ 1.09
500-999
$ 0.01
$ 0.07
$ 0.21
$ 0.01
$ 0.03
$ 0.10
$ 0.00
$ 0.00
$ 0.04
$
$ 0.47
1,000-3,299
$ 0.02
$ 0.14
$ 0.42
$ 0.01
$ 0.07
$ 0.19
$ 0.01
$ 0.00
$ 0.08
$
$ 0.95
3,300-9,999
$ 0.02
$ 0.13
$ 0.39
$ 0.01
$ 0.06
$ 0.18
$ 0.01
$ 0.00
$ 0.08
$ 0.000
$ 0.88
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.03
$ 0.41
$ 0.01
$ 0.00
$ 0.26
$ 0.001
$ 1.96
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.10
$ 0.00
$ 0.00
$ 0.08
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.13
$ 0.00
$ 0.00
$ 0.10
$ 0.001
$ 0.64
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 3.83
$ 0.09
$ 0.35
$ 1.60
$ 0.04
$ 0.01
$ 0.78
$ 0.002
$ 7.60
Rule Alternative A3 UV90-10B
<100
$ 0.02
$ 0.15
$ 0.45
$ 0.01
$ 0.07
$ 0.22
$ 0.01
$ 0.00
$ 0.07
$ 0.000
$ 0.99
100-499
$ 0.02
$ 0.17
$ 0.50
$ 0.01
$ 0.08
$ 0.24
$ 0.01
$ 0.00
$ 0.06
$
$ 1.09
500-999
$ 0.01
$ 0.07
$ 0.21
$ 0.01
$ 0.03
$ 0.10
$ 0.00
$ 0.00
$ 0.04
$
$ 0.47
1,000-3,299
$ 0.02
$ 0.14
$ 0.42
$ 0.01
$ 0.07
$ 0.19
$ 0.01
$ 0.00
$ 0.08
$
$ 0.95
3,300-9,999
$ 0.02
$ 0.13
$ 0.39
$ 0.01
$ 0.06
$ 0.18
$ 0.01
$ 0.00
$ 0.08
$ 0.000
$ 0.88
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.03
$ 0.40
$ 0.01
$ 0.00
$ 0.26
$ 0.001
$ 1.96
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.10
$ 0.00
$ 0.00
$ 0.08
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.13
$ 0.00
$ 0.00
$ 0.11
$ 0.001
$ 0.64
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 3.83
$ 0.09
$ 0.35
$ 1.59
$ 0.04
$ 0.01
$ 0.79
$ 0.002
$ 7.60
Rule Alternative A4
<100
$ 0.02
$ 0.15
$ 0.39
$ 0.01
$ 0.08
$ 0.20
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.89
100-499
$ 0.02
$ 0.17
$ 0.43
$ 0.01
$ 0.08
$ 0.22
$ 0.01
$ 0.00
$ 0.03
$
$ 0.98
500-999
$ 0.01
$ 0.07
$ 0.18
$ 0.01
$ 0.03
$ 0.09
$ 0.00
$ 0.00
$ 0.02
$
$ 0.42
1,000-3,299
$ 0.02
$ 0.14
$ 0.37
$ 0.01
$ 0.07
$ 0.19
$ 0.01
$ 0.00
$ 0.03
$
$ 0.85
3,300-9,999
$ 0.02
$ 0.13
$ 0.34
$ 0.01
$ 0.07
$ 0.17
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.78
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.04
$ 0.53
$ 0.01
$ 0.00
$ 0.13
$ 0.001
$ 1.95
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.14
$ 0.00
$ 0.00
$ 0.04
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.17
$ 0.00
$ 0.00
$ 0.05
$ 0.001
$ 0.62
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 3.58
$ 0.09
$ 0.39
$ 1.73
$ 0.04
$ 0.00
$ 0.37
$ 0.002
$ 7.11
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit Q.20d: Implementation & Monitoring - Annualized, 7% (ICRSSM, Mean)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.02
$
$
$
$
$
$
$ 0.00
$ 0.09
$ 0.000
$ 0.11
100-499
$ 0.02
$
$
$
$
$
$
$ 0.00
$ 0.08
$
$ 0.11
500-999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.05
$
$ 0.06
1,000-3,299
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.55
$
$ 0.58
3,300-9,999
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.52
$ 0.000
$ 0.54
10,000-49,999
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.71
$ 0.001
$ 0.74
50,000-99,999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.21
$ 0.000
$ 0.22
100,000-999,99<
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.29
$ 0.001
$ 0.30
1,000,000+
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.05
$ 0.000
$ 0.05
Total
$ 0.12
$
$
$
$
$
$
$ 0.03
$ 2.55
$ 0.002
$ 2.71
Rule Alternative A2
<100
$ 0.02
$ 0.15
$ 1.16
$ 0.01
$ 0.07
$ 0.56
$ 0.01
$ 0.00
$ 0.06
$ 0.000
$ 2.04
100-499
$ 0.02
$ 0.17
$ 1.27
$ 0.01
$ 0.08
$ 0.63
$ 0.01
$ 0.00
$ 0.05
$
$ 2.25
500-999
$ 0.01
$ 0.07
$ 0.53
$ 0.01
$ 0.03
$ 0.26
$ 0.00
$ 0.00
$ 0.03
$
$ 0.94
1,000-3,299
$ 0.02
$ 0.14
$ 1.07
$ 0.01
$ 0.06
$ 0.48
$ 0.01
$ 0.00
$ 0.11
$
$ 1.90
3,300-9,999
$ 0.02
$ 0.13
$ 0.98
$ 0.01
$ 0.06
$ 0.44
$ 0.01
$ 0.00
$ 0.10
$ 0.000
$ 1.75
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.03
$ 0.45
$ 0.01
$ 0.00
$ 0.21
$ 0.001
$ 1.96
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.11
$ 0.00
$ 0.00
$ 0.06
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.14
$ 0.00
$ 0.00
$ 0.09
$ 0.001
$ 0.63
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 6.87
$ 0.09
$ 0.35
$ 3.09
$ 0.04
$ 0.01
$ 0.73
$ 0.002
$12.09
Rule Alternative A3
<100
$ 0.02
$ 0.15
$ 0.32
$ 0.01
$ 0.07
$ 0.16
$ 0.01
$ 0.00
$ 0.05
$ 0.000
$ 0.78
100-499
$ 0.02
$ 0.17
$ 0.35
$ 0.01
$ 0.08
$ 0.17
$ 0.01
$ 0.00
$ 0.04
$
$ 0.86
500-999
$ 0.01
$ 0.07
$ 0.15
$ 0.01
$ 0.03
$ 0.07
$ 0.00
$ 0.00
$ 0.03
$
$ 0.37
1,000-3,299
$ 0.02
$ 0.14
$ 0.30
$ 0.01
$ 0.07
$ 0.15
$ 0.01
$ 0.00
$ 0.04
$
$ 0.75
3,300-9,999
$ 0.02
$ 0.13
$ 0.28
$ 0.01
$ 0.06
$ 0.13
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.69
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.03
$ 0.48
$ 0.01
$ 0.00
$ 0.18
$ 0.001
$ 1.95
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.12
$ 0.00
$ 0.00
$ 0.05
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.07
$ 0.001
$ 0.63
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 3.25
$ 0.09
$ 0.38
$ 1.46
$ 0.04
$ 0.01
$ 0.52
$ 0.002
$ 6.65
Rule Alternative A3 UV90-10B
<100
$ 0.02
$ 0.15
$ 0.32
$ 0.01
$ 0.07
$ 0.16
$ 0.01
$ 0.00
$ 0.05
$ 0.000
$ 0.78
100-499
$ 0.02
$ 0.17
$ 0.35
$ 0.01
$ 0.08
$ 0.17
$ 0.01
$ 0.00
$ 0.04
$
$ 0.86
500-999
$ 0.01
$ 0.07
$ 0.15
$ 0.01
$ 0.03
$ 0.07
$ 0.00
$ 0.00
$ 0.03
$
$ 0.37
1,000-3,299
$ 0.02
$ 0.14
$ 0.30
$ 0.01
$ 0.07
$ 0.15
$ 0.01
$ 0.00
$ 0.04
$
$ 0.75
3,300-9,999
$ 0.02
$ 0.13
$ 0.28
$ 0.01
$ 0.06
$ 0.13
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.69
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.03
$ 0.47
$ 0.01
$ 0.00
$ 0.18
$ 0.001
$ 1.95
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.12
$ 0.00
$ 0.00
$ 0.06
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.07
$ 0.001
$ 0.63
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 3.25
$ 0.09
$ 0.38
$ 1.46
$ 0.04
$ 0.01
$ 0.52
$ 0.002
$ 6.65
Rule Alternative A4
<100
$ 0.02
$ 0.15
$ 0.25
$ 0.01
$ 0.08
$ 0.13
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.68
100-499
$ 0.02
$ 0.17
$ 0.28
$ 0.01
$ 0.08
$ 0.14
$ 0.01
$ 0.00
$ 0.03
$
$ 0.75
500-999
$ 0.01
$ 0.07
$ 0.12
$ 0.01
$ 0.03
$ 0.06
$ 0.00
$ 0.00
$ 0.02
$
$ 0.32
1,000-3,299
$ 0.02
$ 0.14
$ 0.24
$ 0.01
$ 0.07
$ 0.12
$ 0.01
$ 0.00
$ 0.03
$
$ 0.65
3,300-9,999
$ 0.02
$ 0.13
$ 0.22
$ 0.01
$ 0.07
$ 0.11
$ 0.01
$ 0.00
$ 0.02
$ 0.000
$ 0.59
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.04
$ 0.58
$ 0.01
$ 0.00
$ 0.07
$ 0.001
$ 1.95
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.50
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.18
$ 0.00
$ 0.00
$ 0.03
$ 0.001
$ 0.62
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 2.97
$ 0.09
$ 0.39
$ 1.49
$ 0.04
$ 0.00
$ 0.27
$ 0.002
$ 6.16
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit Q.20e: Implementation & Monitoring - Annualized, 7% (ICRSSM, Low)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.02
$
$
$
$
$
$
$ 0.00
$ 0.09
$ 0.000
$ 0.11
100-499
$ 0.02
$
$
$
$
$
$
$ 0.00
$ 0.08
$
$ 0.11
500-999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.05
$
$ 0.06
1,000-3,299
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.55
$
$ 0.58
3,300-9,999
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.52
$ 0.000
$ 0.54
10,000-49,999
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.71
$ 0.001
$ 0.74
50,000-99,999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.21
$ 0.000
$ 0.22
100,000-999,99<
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.29
$ 0.001
$ 0.30
1,000,000+
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.05
$ 0.000
$ 0.05
Total
$ 0.12
$
$
$
$
$
$
$ 0.03
$ 2.55
$ 0.002
$ 2.71
Rule Alternative A2
<100
$ 0.02
$ 0.15
$ 1.16
$ 0.01
$ 0.07
$ 0.57
$ 0.01
$ 0.00
$ 0.05
$ 0.000
$ 2.04
100-499
$ 0.02
$ 0.17
$ 1.27
$ 0.01
$ 0.08
$ 0.63
$ 0.01
$ 0.00
$ 0.05
$
$ 2.25
500-999
$ 0.01
$ 0.07
$ 0.53
$ 0.01
$ 0.03
$ 0.26
$ 0.00
$ 0.00
$ 0.03
$
$ 0.94
1,000-3,299
$ 0.02
$ 0.14
$ 1.07
$ 0.01
$ 0.06
$ 0.49
$ 0.01
$ 0.00
$ 0.10
$
$ 1.90
3,300-9,999
$ 0.02
$ 0.13
$ 0.98
$ 0.01
$ 0.06
$ 0.45
$ 0.01
$ 0.00
$ 0.09
$ 0.000
$ 1.75
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.03
$ 0.47
$ 0.01
$ 0.00
$ 0.19
$ 0.001
$ 1.95
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.12
$ 0.00
$ 0.00
$ 0.06
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.08
$ 0.001
$ 0.63
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 6.87
$ 0.09
$ 0.36
$ 3.16
$ 0.04
$ 0.01
$ 0.66
$ 0.002
$12.08
Rule Alternative A3
<100
$ 0.02
$ 0.15
$ 0.28
$ 0.01
$ 0.07
$ 0.14
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.72
100-499
$ 0.02
$ 0.17
$ 0.31
$ 0.01
$ 0.08
$ 0.15
$ 0.01
$ 0.00
$ 0.04
$
$ 0.80
500-999
$ 0.01
$ 0.07
$ 0.13
$ 0.01
$ 0.03
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$
$ 0.34
1,000-3,299
$ 0.02
$ 0.14
$ 0.27
$ 0.01
$ 0.07
$ 0.13
$ 0.01
$ 0.00
$ 0.04
$
$ 0.69
3,300-9,999
$ 0.02
$ 0.13
$ 0.24
$ 0.01
$ 0.07
$ 0.12
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.64
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.03
$ 0.49
$ 0.01
$ 0.00
$ 0.16
$ 0.001
$ 1.95
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.13
$ 0.00
$ 0.00
$ 0.05
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.16
$ 0.00
$ 0.00
$ 0.06
$ 0.001
$ 0.63
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 3.09
$ 0.09
$ 0.38
$ 1.41
$ 0.04
$ 0.01
$ 0.47
$ 0.002
$ 6.39
Rule Alternative A3 UV90-10B
<100
$ 0.02
$ 0.15
$ 0.28
$ 0.01
$ 0.07
$ 0.14
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.72
100-499
$ 0.02
$ 0.17
$ 0.31
$ 0.01
$ 0.08
$ 0.15
$ 0.01
$ 0.00
$ 0.04
$
$ 0.80
500-999
$ 0.01
$ 0.07
$ 0.13
$ 0.01
$ 0.03
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$
$ 0.34
1,000-3,299
$ 0.02
$ 0.14
$ 0.27
$ 0.01
$ 0.07
$ 0.13
$ 0.01
$ 0.00
$ 0.04
$
$ 0.69
3,300-9,999
$ 0.02
$ 0.13
$ 0.24
$ 0.01
$ 0.07
$ 0.12
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.64
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.03
$ 0.49
$ 0.01
$ 0.00
$ 0.16
$ 0.001
$ 1.95
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.13
$ 0.00
$ 0.00
$ 0.05
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.16
$ 0.00
$ 0.00
$ 0.07
$ 0.001
$ 0.63
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 3.09
$ 0.09
$ 0.38
$ 1.41
$ 0.04
$ 0.01
$ 0.47
$ 0.002
$ 6.39
Rule Alternative A4
<100
$ 0.02
$ 0.15
$ 0.22
$ 0.01
$ 0.08
$ 0.11
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.63
100-499
$ 0.02
$ 0.17
$ 0.24
$ 0.01
$ 0.08
$ 0.12
$ 0.01
$ 0.00
$ 0.03
$
$ 0.69
500-999
$ 0.01
$ 0.07
$ 0.10
$ 0.01
$ 0.03
$ 0.05
$ 0.00
$ 0.00
$ 0.02
$
$ 0.30
1,000-3,299
$ 0.02
$ 0.14
$ 0.21
$ 0.01
$ 0.07
$ 0.11
$ 0.01
$ 0.00
$ 0.02
$
$ 0.60
3,300-9,999
$ 0.02
$ 0.13
$ 0.20
$ 0.01
$ 0.07
$ 0.10
$ 0.01
$ 0.00
$ 0.02
$ 0.000
$ 0.55
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.04
$ 0.58
$ 0.01
$ 0.00
$ 0.06
$ 0.001
$ 1.95
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.50
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.19
$ 0.00
$ 0.00
$ 0.02
$ 0.001
$ 0.62
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 2.84
$ 0.09
$ 0.39
$ 1.43
$ 0.04
$ 0.00
$ 0.25
$ 0.002
$ 5.96
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit Q.20f: Implementation & Monitoring - Annualized, 7% (ICRSSM, High)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.02
$
$
$
$
$
$
$ 0.00
$ 0.09
$ 0.000
$ 0.11
100-499
$ 0.02
$
$
$
$
$
$
$ 0.00
$ 0.08
$
$ 0.11
500-999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.05
$
$ 0.06
1,000-3,299
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.55
$
$ 0.58
3,300-9,999
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.52
$ 0.000
$ 0.54
10,000-49,999
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.71
$ 0.001
$ 0.74
50,000-99,999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.21
$ 0.000
$ 0.22
100,000-999,99<
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.29
$ 0.001
$ 0.30
1,000,000+
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.05
$ 0.000
$ 0.05
Total
$ 0.12
$
$
$
$
$
$
$ 0.03
$ 2.55
$ 0.002
$ 2.71
Rule Alternative A2
<100
$ 0.02
$ 0.15
$ 1.16
$ 0.01
$ 0.07
$ 0.56
$ 0.01
$ 0.00
$ 0.06
$ 0.000
$ 2.04
100-499
$ 0.02
$ 0.17
$ 1.27
$ 0.01
$ 0.08
$ 0.62
$ 0.01
$ 0.00
$ 0.06
$
$ 2.25
500-999
$ 0.01
$ 0.07
$ 0.53
$ 0.01
$ 0.03
$ 0.25
$ 0.00
$ 0.00
$ 0.03
$
$ 0.94
1,000-3,299
$ 0.02
$ 0.14
$ 1.07
$ 0.01
$ 0.06
$ 0.47
$ 0.01
$ 0.00
$ 0.12
$
$ 1.90
3,300-9,999
$ 0.02
$ 0.13
$ 0.98
$ 0.01
$ 0.06
$ 0.43
$ 0.01
$ 0.00
$ 0.11
$ 0.000
$ 1.75
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.03
$ 0.43
$ 0.01
$ 0.00
$ 0.23
$ 0.001
$ 1.96
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.11
$ 0.00
$ 0.00
$ 0.07
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.14
$ 0.00
$ 0.00
$ 0.09
$ 0.001
$ 0.63
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 6.87
$ 0.09
$ 0.35
$ 3.03
$ 0.04
$ 0.01
$ 0.80
$ 0.002
$12.09
Rule Alternative A3
<100
$ 0.02
$ 0.15
$ 0.35
$ 0.01
$ 0.07
$ 0.17
$ 0.01
$ 0.00
$ 0.05
$ 0.000
$ 0.83
100-499
$ 0.02
$ 0.17
$ 0.38
$ 0.01
$ 0.08
$ 0.19
$ 0.01
$ 0.00
$ 0.04
$
$ 0.91
500-999
$ 0.01
$ 0.07
$ 0.16
$ 0.01
$ 0.03
$ 0.08
$ 0.00
$ 0.00
$ 0.03
$
$ 0.39
1,000-3,299
$ 0.02
$ 0.14
$ 0.33
$ 0.01
$ 0.07
$ 0.16
$ 0.01
$ 0.00
$ 0.05
$
$ 0.79
3,300-9,999
$ 0.02
$ 0.13
$ 0.30
$ 0.01
$ 0.06
$ 0.15
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.73
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.03
$ 0.46
$ 0.01
$ 0.00
$ 0.20
$ 0.001
$ 1.95
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.12
$ 0.00
$ 0.00
$ 0.06
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.08
$ 0.001
$ 0.63
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 3.39
$ 0.09
$ 0.37
$ 1.50
$ 0.04
$ 0.01
$ 0.56
$ 0.002
$ 6.86
Rule Alternative A3 UV90-10B
<100
$ 0.02
$ 0.15
$ 0.35
$ 0.01
$ 0.07
$ 0.17
$ 0.01
$ 0.00
$ 0.05
$ 0.000
$ 0.83
100-499
$ 0.02
$ 0.17
$ 0.38
$ 0.01
$ 0.08
$ 0.19
$ 0.01
$ 0.00
$ 0.04
$
$ 0.91
500-999
$ 0.01
$ 0.07
$ 0.16
$ 0.01
$ 0.03
$ 0.08
$ 0.00
$ 0.00
$ 0.03
$
$ 0.39
1,000-3,299
$ 0.02
$ 0.14
$ 0.33
$ 0.01
$ 0.07
$ 0.16
$ 0.01
$ 0.00
$ 0.05
$
$ 0.79
3,300-9,999
$ 0.02
$ 0.13
$ 0.30
$ 0.01
$ 0.06
$ 0.15
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.73
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.03
$ 0.46
$ 0.01
$ 0.00
$ 0.20
$ 0.001
$ 1.95
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.12
$ 0.00
$ 0.00
$ 0.06
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.08
$ 0.001
$ 0.63
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 3.39
$ 0.09
$ 0.37
$ 1.50
$ 0.04
$ 0.01
$ 0.57
$ 0.002
$ 6.86
Rule Alternative A4
<100
$ 0.02
$ 0.15
$ 0.28
$ 0.01
$ 0.08
$ 0.14
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.72
100-499
$ 0.02
$ 0.17
$ 0.31
$ 0.01
$ 0.08
$ 0.16
$ 0.01
$ 0.00
$ 0.03
$
$ 0.79
500-999
$ 0.01
$ 0.07
$ 0.13
$ 0.01
$ 0.03
$ 0.06
$ 0.00
$ 0.00
$ 0.02
$
$ 0.34
1,000-3,299
$ 0.02
$ 0.14
$ 0.27
$ 0.01
$ 0.07
$ 0.13
$ 0.01
$ 0.00
$ 0.03
$
$ 0.68
3,300-9,999
$ 0.02
$ 0.13
$ 0.24
$ 0.01
$ 0.07
$ 0.12
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.63
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.04
$ 0.57
$ 0.01
$ 0.00
$ 0.08
$ 0.001
$ 1.95
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.18
$ 0.00
$ 0.00
$ 0.03
$ 0.001
$ 0.62
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 3.09
$ 0.09
$ 0.39
$ 1.54
$ 0.04
$ 0.00
$ 0.29
$ 0.002
$ 6.35
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit Q.20g: Implementation & Monitoring - Annualized, 7% (ICRSSL, Mean)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.02
$
$
$
$
$
$
$ 0.00
$ 0.09
$ 0.000
$ 0.11
100-499
$ 0.02
$
$
$
$
$
$
$ 0.00
$ 0.08
$
$ 0.11
500-999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.05
$
$ 0.06
1,000-3,299
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.55
$
$ 0.58
3,300-9,999
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.52
$ 0.000
$ 0.54
10,000-49,999
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.71
$ 0.001
$ 0.74
50,000-99,999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.21
$ 0.000
$ 0.22
100,000-999,99<
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.29
$ 0.001
$ 0.30
1,000,000+
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.05
$ 0.000
$ 0.05
Total
$ 0.12
$
$
$
$
$
$
$ 0.03
$ 2.55
$ 0.002
$ 2.71
Rule Alternative A2
<100
$ 0.02
$ 0.15
$ 1.16
$ 0.01
$ 0.07
$ 0.57
$ 0.01
$ 0.00
$ 0.05
$ 0.000
$ 2.04
100-499
$ 0.02
$ 0.17
$ 1.27
$ 0.01
$ 0.08
$ 0.64
$ 0.01
$ 0.00
$ 0.05
$
$ 2.25
500-999
$ 0.01
$ 0.07
$ 0.53
$ 0.01
$ 0.03
$ 0.26
$ 0.00
$ 0.00
$ 0.03
$
$ 0.94
1,000-3,299
$ 0.02
$ 0.14
$ 1.07
$ 0.01
$ 0.06
$ 0.50
$ 0.01
$ 0.00
$ 0.09
$
$ 1.90
3,300-9,999
$ 0.02
$ 0.13
$ 0.98
$ 0.01
$ 0.06
$ 0.45
$ 0.01
$ 0.00
$ 0.08
$ 0.000
$ 1.75
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.03
$ 0.47
$ 0.01
$ 0.00
$ 0.19
$ 0.001
$ 1.95
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.12
$ 0.00
$ 0.00
$ 0.06
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.07
$ 0.001
$ 0.63
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 6.87
$ 0.09
$ 0.36
$ 3.18
$ 0.04
$ 0.01
$ 0.63
$ 0.002
$12.09
Rule Alternative A3
<100
$ 0.02
$ 0.15
$ 0.26
$ 0.01
$ 0.07
$ 0.13
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.69
100-499
$ 0.02
$ 0.17
$ 0.29
$ 0.01
$ 0.08
$ 0.14
$ 0.01
$ 0.00
$ 0.04
$
$ 0.76
500-999
$ 0.01
$ 0.07
$ 0.12
$ 0.01
$ 0.03
$ 0.06
$ 0.00
$ 0.00
$ 0.02
$
$ 0.33
1,000-3,299
$ 0.02
$ 0.14
$ 0.25
$ 0.01
$ 0.07
$ 0.12
$ 0.01
$ 0.00
$ 0.03
$
$ 0.66
3,300-9,999
$ 0.02
$ 0.13
$ 0.23
$ 0.01
$ 0.07
$ 0.11
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.61
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.03
$ 0.50
$ 0.01
$ 0.00
$ 0.15
$ 0.001
$ 1.95
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.13
$ 0.00
$ 0.00
$ 0.05
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.16
$ 0.00
$ 0.00
$ 0.06
$ 0.001
$ 0.63
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 3.01
$ 0.09
$ 0.38
$ 1.39
$ 0.04
$ 0.01
$ 0.44
$ 0.002
$ 6.26
Rule Alternative A3 UV90-10B
<100
$ 0.02
$ 0.15
$ 0.26
$ 0.01
$ 0.07
$ 0.13
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.69
100-499
$ 0.02
$ 0.17
$ 0.29
$ 0.01
$ 0.08
$ 0.14
$ 0.01
$ 0.00
$ 0.04
$
$ 0.76
500-999
$ 0.01
$ 0.07
$ 0.12
$ 0.01
$ 0.03
$ 0.06
$ 0.00
$ 0.00
$ 0.02
$
$ 0.33
1,000-3,299
$ 0.02
$ 0.14
$ 0.25
$ 0.01
$ 0.07
$ 0.12
$ 0.01
$ 0.00
$ 0.03
$
$ 0.66
3,300-9,999
$ 0.02
$ 0.13
$ 0.23
$ 0.01
$ 0.07
$ 0.11
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.61
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.03
$ 0.50
$ 0.01
$ 0.00
$ 0.15
$ 0.001
$ 1.95
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.13
$ 0.00
$ 0.00
$ 0.05
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.16
$ 0.00
$ 0.00
$ 0.06
$ 0.001
$ 0.63
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 3.01
$ 0.09
$ 0.38
$ 1.39
$ 0.04
$ 0.01
$ 0.44
$ 0.002
$ 6.26
Rule Alternative A4
<100
$ 0.02
$ 0.15
$ 0.19
$ 0.01
$ 0.08
$ 0.09
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.58
100-499
$ 0.02
$ 0.17
$ 0.21
$ 0.01
$ 0.09
$ 0.10
$ 0.01
$ 0.00
$ 0.03
$
$ 0.64
500-999
$ 0.01
$ 0.07
$ 0.09
$ 0.01
$ 0.03
$ 0.04
$ 0.00
$ 0.00
$ 0.02
$
$ 0.28
1,000-3,299
$ 0.02
$ 0.14
$ 0.18
$ 0.01
$ 0.07
$ 0.09
$ 0.01
$ 0.00
$ 0.02
$
$ 0.55
3,300-9,999
$ 0.02
$ 0.13
$ 0.17
$ 0.01
$ 0.07
$ 0.08
$ 0.01
$ 0.00
$ 0.02
$ 0.000
$ 0.51
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.04
$ 0.59
$ 0.01
$ 0.00
$ 0.06
$ 0.001
$ 1.95
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.50
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.19
$ 0.00
$ 0.00
$ 0.02
$ 0.001
$ 0.61
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 2.69
$ 0.09
$ 0.40
$ 1.37
$ 0.04
$ 0.00
$ 0.23
$ 0.002
$ 5.74
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit Q.20h: Implementation & Monitoring - Annualized, 7% (ICRSSL, Low)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.02
$
$
$
$
$
$
$ 0.00
$ 0.09
$ 0.000
$ 0.11
100-499
$ 0.02
$
$
$
$
$
$
$ 0.00
$ 0.08
$
$ 0.11
500-999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.05
$
$ 0.06
1,000-3,299
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.55
$
$ 0.58
3,300-9,999
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.52
$ 0.000
$ 0.54
10,000-49,999
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.71
$ 0.001
$ 0.74
50,000-99,999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.21
$ 0.000
$ 0.22
100,000-999,99<
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.29
$ 0.001
$ 0.30
1,000,000+
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.05
$ 0.000
$ 0.05
Total
$ 0.12
$
$
$
$
$
$
$ 0.03
$ 2.55
$ 0.002
$ 2.71
Rule Alternative A2
<100
$ 0.02
$ 0.15
$ 1.16
$ 0.01
$ 0.07
$ 0.57
$ 0.01
$ 0.00
$ 0.05
$ 0.000
$ 2.04
100-499
$ 0.02
$ 0.17
$ 1.27
$ 0.01
$ 0.08
$ 0.64
$ 0.01
$ 0.00
$ 0.04
$
$ 2.25
500-999
$ 0.01
$ 0.07
$ 0.53
$ 0.01
$ 0.03
$ 0.26
$ 0.00
$ 0.00
$ 0.03
$
$ 0.94
1,000-3,299
$ 0.02
$ 0.14
$ 1.07
$ 0.01
$ 0.07
$ 0.51
$ 0.01
$ 0.00
$ 0.07
$
$ 1.90
3,300-9,999
$ 0.02
$ 0.13
$ 0.98
$ 0.01
$ 0.06
$ 0.47
$ 0.01
$ 0.00
$ 0.07
$ 0.000
$ 1.75
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.03
$ 0.50
$ 0.01
$ 0.00
$ 0.16
$ 0.001
$ 1.95
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.13
$ 0.00
$ 0.00
$ 0.05
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.16
$ 0.00
$ 0.00
$ 0.06
$ 0.001
$ 0.63
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 6.87
$ 0.09
$ 0.37
$ 3.27
$ 0.04
$ 0.01
$ 0.53
$ 0.002
$12.08
Rule Alternative A3
<100
$ 0.02
$ 0.15
$ 0.21
$ 0.01
$ 0.08
$ 0.10
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.61
100-499
$ 0.02
$ 0.17
$ 0.23
$ 0.01
$ 0.08
$ 0.11
$ 0.01
$ 0.00
$ 0.03
$
$ 0.67
500-999
$ 0.01
$ 0.07
$ 0.10
$ 0.01
$ 0.03
$ 0.05
$ 0.00
$ 0.00
$ 0.02
$
$ 0.29
1,000-3,299
$ 0.02
$ 0.14
$ 0.20
$ 0.01
$ 0.07
$ 0.10
$ 0.01
$ 0.00
$ 0.03
$
$ 0.59
3,300-9,999
$ 0.02
$ 0.13
$ 0.18
$ 0.01
$ 0.07
$ 0.09
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.54
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.04
$ 0.53
$ 0.01
$ 0.00
$ 0.12
$ 0.001
$ 1.95
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.14
$ 0.00
$ 0.00
$ 0.04
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.17
$ 0.00
$ 0.00
$ 0.05
$ 0.001
$ 0.62
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 2.78
$ 0.09
$ 0.39
$ 1.31
$ 0.04
$ 0.00
$ 0.37
$ 0.002
$ 5.89
Rule Alternative A3 UV90-10B
<100
$ 0.02
$ 0.15
$ 0.21
$ 0.01
$ 0.08
$ 0.10
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.61
100-499
$ 0.02
$ 0.17
$ 0.23
$ 0.01
$ 0.08
$ 0.11
$ 0.01
$ 0.00
$ 0.03
$
$ 0.67
500-999
$ 0.01
$ 0.07
$ 0.10
$ 0.01
$ 0.03
$ 0.05
$ 0.00
$ 0.00
$ 0.02
$
$ 0.29
1,000-3,299
$ 0.02
$ 0.14
$ 0.20
$ 0.01
$ 0.07
$ 0.10
$ 0.01
$ 0.00
$ 0.03
$
$ 0.59
3,300-9,999
$ 0.02
$ 0.13
$ 0.18
$ 0.01
$ 0.07
$ 0.09
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.54
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.04
$ 0.53
$ 0.01
$ 0.00
$ 0.13
$ 0.001
$ 1.95
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.14
$ 0.00
$ 0.00
$ 0.04
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.17
$ 0.00
$ 0.00
$ 0.05
$ 0.001
$ 0.62
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 2.78
$ 0.09
$ 0.39
$ 1.31
$ 0.04
$ 0.00
$ 0.38
$ 0.002
$ 5.89
Rule Alternative A4
<100
$ 0.02
$ 0.15
$ 0.14
$ 0.01
$ 0.08
$ 0.07
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.51
100-499
$ 0.02
$ 0.17
$ 0.16
$ 0.01
$ 0.09
$ 0.08
$ 0.01
$ 0.00
$ 0.03
$
$ 0.57
500-999
$ 0.01
$ 0.07
$ 0.07
$ 0.01
$ 0.03
$ 0.03
$ 0.00
$ 0.00
$ 0.02
$
$ 0.25
1,000-3,299
$ 0.02
$ 0.14
$ 0.14
$ 0.01
$ 0.07
$ 0.07
$ 0.01
$ 0.00
$ 0.02
$
$ 0.50
3,300-9,999
$ 0.02
$ 0.13
$ 0.13
$ 0.01
$ 0.07
$ 0.06
$ 0.01
$ 0.00
$ 0.02
$ 0.000
$ 0.46
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.04
$ 0.60
$ 0.01
$ 0.00
$ 0.05
$ 0.001
$ 1.95
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.50
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.19
$ 0.00
$ 0.00
$ 0.02
$ 0.001
$ 0.61
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.00
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 2.51
$ 0.09
$ 0.40
$ 1.29
$ 0.04
$ 0.00
$ 0.21
$ 0.002
$ 5.46
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit Q.20i: Implementation & Monitoring - Annualized, 7% (ICRSSL, High)
Uncovered
Second
Second
Finished
Initial
Second
Round
Round
Water
Initial E. coli
Initial Crypto
Monitoring
Round E. coli
Crypto
Monitoring
Technology
Reservoir
Size Category
Implementation
Monitoring
Monitoring
Reporting
Monitoring
Monitoring
Reporting
Benchmarking
Reporting
Reporting
Total
A
B
C
D
E
F
G
H
I
J
K
Rule Alternative A1
<100
$ 0.02
$
$
$
$
$
$
$ 0.00
$ 0.09
$ 0.000
$ 0.11
100-499
$ 0.02
$
$
$
$
$
$
$ 0.00
$ 0.08
$
$ 0.11
500-999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.05
$
$ 0.06
1,000-3,299
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.55
$
$ 0.58
3,300-9,999
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.52
$ 0.000
$ 0.54
10,000-49,999
$ 0.02
$
$
$
$
$
$
$ 0.01
$ 0.71
$ 0.001
$ 0.74
50,000-99,999
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.21
$ 0.000
$ 0.22
100,000-999,99<
$ 0.01
$
$
$
$
$
$
$ 0.00
$ 0.29
$ 0.001
$ 0.30
1,000,000+
$ 0.00
$
$
$
$
$
$
$ 0.00
$ 0.05
$ 0.000
$ 0.05
Total
$ 0.12
$
$
$
$
$
$
$ 0.03
$ 2.55
$ 0.002
$ 2.71
Rule Alternative A2
<100
$ 0.02
$ 0.15
$ 1.16
$ 0.01
$ 0.07
$ 0.56
$ 0.01
$ 0.00
$ 0.06
$ 0.000
$ 2.04
100-499
$ 0.02
$ 0.17
$ 1.27
$ 0.01
$ 0.08
$ 0.63
$ 0.01
$ 0.00
$ 0.05
$
$ 2.25
500-999
$ 0.01
$ 0.07
$ 0.53
$ 0.01
$ 0.03
$ 0.26
$ 0.00
$ 0.00
$ 0.03
$
$ 0.94
1,000-3,299
$ 0.02
$ 0.14
$ 1.07
$ 0.01
$ 0.06
$ 0.48
$ 0.01
$ 0.00
$ 0.10
$
$ 1.90
3,300-9,999
$ 0.02
$ 0.13
$ 0.98
$ 0.01
$ 0.06
$ 0.44
$ 0.01
$ 0.00
$ 0.09
$ 0.000
$ 1.75
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.03
$ 0.45
$ 0.01
$ 0.00
$ 0.21
$ 0.001
$ 1.96
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.12
$ 0.00
$ 0.00
$ 0.06
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.14
$ 0.00
$ 0.00
$ 0.08
$ 0.001
$ 0.63
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.02
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 6.87
$ 0.09
$ 0.36
$ 3.12
$ 0.04
$ 0.01
$ 0.71
$ 0.002
$12.09
Rule Alternative A3
<100
$ 0.02
$ 0.15
$ 0.30
$ 0.01
$ 0.07
$ 0.15
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.75
100-499
$ 0.02
$ 0.17
$ 0.33
$ 0.01
$ 0.08
$ 0.16
$ 0.01
$ 0.00
$ 0.04
$
$ 0.83
500-999
$ 0.01
$ 0.07
$ 0.14
$ 0.01
$ 0.03
$ 0.07
$ 0.00
$ 0.00
$ 0.03
$
$ 0.36
1,000-3,299
$ 0.02
$ 0.14
$ 0.28
$ 0.01
$ 0.07
$ 0.14
$ 0.01
$ 0.00
$ 0.04
$
$ 0.72
3,300-9,999
$ 0.02
$ 0.13
$ 0.26
$ 0.01
$ 0.07
$ 0.13
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.66
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.03
$ 0.49
$ 0.01
$ 0.00
$ 0.17
$ 0.001
$ 1.95
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.12
$ 0.00
$ 0.00
$ 0.05
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.16
$ 0.00
$ 0.00
$ 0.07
$ 0.001
$ 0.63
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 3.17
$ 0.09
$ 0.38
$ 1.44
$ 0.04
$ 0.01
$ 0.49
$ 0.002
$ 6.51
Rule Alternative A3 UV90-10B
<100
$ 0.02
$ 0.15
$ 0.30
$ 0.01
$ 0.07
$ 0.15
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.75
100-499
$ 0.02
$ 0.17
$ 0.33
$ 0.01
$ 0.08
$ 0.16
$ 0.01
$ 0.00
$ 0.04
$
$ 0.83
500-999
$ 0.01
$ 0.07
$ 0.14
$ 0.01
$ 0.03
$ 0.07
$ 0.00
$ 0.00
$ 0.03
$
$ 0.36
1,000-3,299
$ 0.02
$ 0.14
$ 0.28
$ 0.01
$ 0.07
$ 0.14
$ 0.01
$ 0.00
$ 0.04
$
$ 0.72
3,300-9,999
$ 0.02
$ 0.13
$ 0.26
$ 0.01
$ 0.07
$ 0.13
$ 0.01
$ 0.00
$ 0.03
$ 0.000
$ 0.66
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.03
$ 0.48
$ 0.01
$ 0.00
$ 0.17
$ 0.001
$ 1.95
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.12
$ 0.00
$ 0.00
$ 0.05
$ 0.000
$ 0.51
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.07
$ 0.001
$ 0.63
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 3.17
$ 0.09
$ 0.38
$ 1.44
$ 0.04
$ 0.01
$ 0.49
$ 0.002
$ 6.51
Rule Alternative A4
<100
$ 0.02
$ 0.15
$ 0.22
$ 0.01
$ 0.08
$ 0.11
$ 0.01
$ 0.00
$ 0.04
$ 0.000
$ 0.64
100-499
$ 0.02
$ 0.17
$ 0.25
$ 0.01
$ 0.08
$ 0.13
$ 0.01
$ 0.00
$ 0.03
$
$ 0.70
500-999
$ 0.01
$ 0.07
$ 0.10
$ 0.01
$ 0.03
$ 0.05
$ 0.00
$ 0.00
$ 0.02
$
$ 0.30
1,000-3,299
$ 0.02
$ 0.14
$ 0.22
$ 0.01
$ 0.07
$ 0.11
$ 0.01
$ 0.00
$ 0.03
$
$ 0.61
3,300-9,999
$ 0.02
$ 0.13
$ 0.20
$ 0.01
$ 0.07
$ 0.10
$ 0.01
$ 0.00
$ 0.02
$ 0.000
$ 0.56
10,000-49,999
$ 0.02
$ 0.08
$ 1.14
$ 0.01
$ 0.04
$ 0.58
$ 0.01
$ 0.00
$ 0.06
$ 0.001
$ 1.95
50,000-99,999
$ 0.01
$ 0.02
$ 0.29
$ 0.00
$ 0.01
$ 0.15
$ 0.00
$ 0.00
$ 0.02
$ 0.000
$ 0.50
100,000-999,99<
$ 0.01
$ 0.02
$ 0.36
$ 0.01
$ 0.01
$ 0.19
$ 0.00
$ 0.00
$ 0.02
$ 0.001
$ 0.62
1,000,000+
$ 0.00
$ 0.00
$ 0.06
$ 0.00
$ 0.00
$ 0.03
$ 0.00
$ 0.00
$ 0.01
$ 0.000
$ 0.11
Total
$ 0.12
$ 0.79
$ 2.85
$ 0.09
$ 0.39
$ 1.44
$ 0.04
$ 0.00
$ 0.25
$ 0.002
$ 5.98
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.21a: Treatment Uncertainty-Annualized, 7% (ICR)
Size Category
Filtered Treatment Capital
Filtered Treatment O&M
Unfiltered Treatment Capital
Unfiltered Treatment O&M
Uncovered Reservoirs Capital
Uncovered Reservoirs O&M
Total
5th
Mean
95th
5th
Mean
95th
5th
Mean
95th
5th
Mean
95th
5th
Mean
95th
5th
Mean
95th
5th
Mean
95th
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
Rule Alternative A1
<100
$ 0.72
$ 0.86
$ 1.00
$ 0.75
$ 0.80
$ 0.86
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 1.47
$ 1.66
$ 1.86
100-499
$ 1.08
$ 1.27
$ 1.46
$ 1.28
$ 1.39
$ 1.50
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$
$
$
$
$
$
$ 2.37
$ 2.67
$ 2.97
500-999
$ 0.73
$ 0.86
$ 0.99
$ 1.23
$ 1.34
$ 1.46
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$
$
$
$
$
$
$ 1.98
$ 2.23
$ 2.47
1,000-3,299
$ 3.88
$ 4.69
$ 5.50
$ 4.33
$ 4.74
$ 5.16
$ 0.08
$ 0.09
$ 0.10
$ 0.08
$ 0.09
$ 0.09
$
$
$
$
$
$
$ 8.36
$ 9.61
$ 10.85
3,300-9,999
$ 11.95
$ 14.62
$ 17.27
$ 6.24
$ 6.78
$ 7.32
$ 0.22
$ 0.26
$ 0.30
$ 0.11
$ 0.12
$ 0.12
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 18.53
$ 21.78
$ 25.02
10,000-49,999
$ 44.79
$ 51.14
$ 57.51
$ 22.49
$ 23.85
$ 25.22
$ 0.39
$ 0.46
$ 0.53
$ 0.20
$ 0.22
$ 0.24
$ 0.72
$ 0.72
$ 0.72
$ 0.24
$ 0.24
$ 0.24
$ 68.84
$ 76.63
$ 84.46
50,000-99,999
$ 30.29
$ 34.76
$ 39.20
$ 12.71
$ 13.47
$ 14.23
$ 0.34
$ 0.41
$ 0.47
$ 0.14
$ 0.15
$ 0.16
$ 0.19
$ 0.19
$ 0.19
$ 0.10
$ 0.10
$ 0.10
$ 43.77
$ 49.07
$ 54.36
100,000-999,999
$ 93.22
$ 106.32
$ 119.42
$ 44.60
$ 47.23
$ 49.91
$ 1.07
$ 1.26
$ 1.46
$ 0.59
$ 0.64
$ 0.69
$ 7.07
$ 7.07
$ 7.07
$ 2.82
$ 2.82
$ 2.82
$ 149.36
$ 165.35
$ 181.36
1,000,000+
$ 41.62
$ 47.43
$ 53.24
$ 25.37
$ 26.85
$ 28.35
$ 21.18
$ 26.67
$ 32.09
$ 0.75
$ 0.84
$ 0.92
$ 1.41
$ 1.41
$ 1.41
$ 0.52
$ 0.52
$ 0.52
$ 90.85
$ 103.72
$ 116.53
Total
$ 228.27
$ 261.95
$ 295.59
$ 118.99
$ 126.46
$ 134.00
$ 23.28
$ 29.16
$ 34.96
$ 1.89
$ 2.07
$ 2.25
$ 9.40
$ 9.40
$ 9.40
$ 3.68
$ 3.68
$ 3.68
$ 385.52
$ 432.72
$ 479.88
Rule Alternative A2
<100
$ 0.34
$ 0.40
$ 0.51
$ 0.35
$ 0.40
$ 0.49
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.68
$ 0.81
$ 1.00
100-499
$ 0.50
$ 0.60
$ 0.76
$ 0.50
$ 0.58
$ 0.70
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$
$
$
$
$
$
$ 1.01
$ 1.19
$ 1.47
500-999
$ 0.34
$ 0.41
$ 0.52
$ 0.38
$ 0.44
$ 0.53
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$
$
$
$
$
$
$ 0.75
$ 0.88
$ 1.08
1,000-3,299
$ 1.37
$ 1.71
$ 2.19
$ 1.30
$ 1.50
$ 1.83
$ 0.08
$ 0.09
$ 0.10
$ 0.08
$ 0.09
$ 0.09
$
$
$
$
$
$
$ 2.83
$ 3.38
$ 4.20
3,300-9,999
$ 3.90
$ 4.88
$ 6.31
$ 2.21
$ 2.50
$ 3.01
$ 0.22
$ 0.26
$ 0.30
$ 0.11
$ 0.12
$ 0.12
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 6.44
$ 7.77
$ 9.75
10,000-49,999
$ 14.00
$ 17.05
$ 21.73
$ 6.84
$ 7.70
$ 9.21
$ 0.39
$ 0.46
$ 0.53
$ 0.20
$ 0.22
$ 0.24
$ 0.72
$ 0.72
$ 0.72
$ 0.24
$ 0.24
$ 0.24
$ 22.39
$ 26.39
$ 32.66
50,000-99,999
$ 9.38
$ 11.55
$ 14.83
$ 3.58
$ 4.05
$ 4.82
$ 0.34
$ 0.41
$ 0.47
$ 0.14
$ 0.15
$ 0.16
$ 0.19
$ 0.19
$ 0.19
$ 0.10
$ 0.10
$ 0.10
$ 13.73
$ 16.44
$ 20.57
100,000-999,999
$ 28.11
$ 34.46
$ 43.95
$ 11.66
$ 13.25
$ 15.78
$ 1.07
$ 1.26
$ 1.46
$ 0.59
$ 0.64
$ 0.69
$ 7.07
$ 7.07
$ 7.07
$ 2.82
$ 2.82
$ 2.82
$ 51.31
$ 59.50
$ 71.76
1,000,000+
$ 12.45
$ 15.24
$ 19.42
$ 6.43
$ 7.33
$ 8.73
$ 21.18
$ 26.67
$ 32.09
$ 0.75
$ 0.84
$ 0.92
$ 1.41
$ 1.41
$ 1.41
$ 0.52
$ 0.52
$ 0.52
$ 42.74
$ 52.01
$ 63.09
Total
$ 70.38
$ 86.31
$ 110.20
$ 33.25
$ 37.76
$ 45.09
$ 23.28
$ 29.16
$ 34.96
$ 1.89
$ 2.07
$ 2.25
$ 9.40
$ 9.40
$ 9.40
$ 3.68
$ 3.68
$ 3.68
$ 141.89
$ 168.38
$ 205.58
Rule Alternative A3
<100
$ 0.25
$ 0.31
$ 0.40
$ 0.23
$ 0.28
$ 0.34
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.48
$ 0.60
$ 0.74
100-499
$ 0.35
$ 0.44
$ 0.55
$ 0.32
$ 0.38
$ 0.46
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$
$
$
$
$
$
$ 0.68
$ 0.84
$ 1.03
500-999
$ 0.24
$ 0.30
$ 0.37
$ 0.22
$ 0.26
$ 0.31
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$
$
$
$
$
$
$ 0.48
$ 0.59
$ 0.72
1,000-3,299
$ 0.87
$ 1.12
$ 1.41
$ 0.77
$ 0.93
$ 1.11
$ 0.08
$ 0.09
$ 0.10
$ 0.08
$ 0.09
$ 0.09
$
$
$
$
$
$
$ 1.80
$ 2.22
$ 2.71
3,300-9,999
$ 2.36
$ 3.06
$ 3.87
$ 1.50
$ 1.78
$ 2.12
$ 0.22
$ 0.26
$ 0.30
$ 0.11
$ 0.12
$ 0.12
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 4.20
$ 5.22
$ 6.42
10,000-49,999
$ 11.43
$ 14.37
$ 18.18
$ 5.18
$ 6.04
$ 7.16
$ 0.39
$ 0.46
$ 0.53
$ 0.20
$ 0.22
$ 0.24
$ 0.72
$ 0.72
$ 0.72
$ 0.24
$ 0.24
$ 0.24
$ 18.16
$ 22.06
$ 27.06
50,000-99,999
$ 7.64
$ 9.73
$ 12.42
$ 2.54
$ 2.98
$ 3.52
$ 0.34
$ 0.41
$ 0.47
$ 0.14
$ 0.15
$ 0.16
$ 0.19
$ 0.19
$ 0.19
$ 0.10
$ 0.10
$ 0.10
$ 10.94
$ 13.56
$ 16.87
100,000-999,999
$ 22.39
$ 28.42
$ 36.07
$ 7.98
$ 9.46
$ 11.15
$ 1.07
$ 1.26
$ 1.46
$ 0.59
$ 0.64
$ 0.69
$ 7.07
$ 7.07
$ 7.07
$ 2.82
$ 2.82
$ 2.82
$ 41.91
$ 49.67
$ 59.25
1,000,000+
$ 9.74
$ 12.37
$ 15.70
$ 4.40
$ 5.23
$ 6.16
$ 21.18
$ 26.67
$ 32.09
$ 0.75
$ 0.84
$ 0.92
$ 1.41
$ 1.41
$ 1.41
$ 0.52
$ 0.52
$ 0.52
$ 38.00
$ 47.04
$ 56.80
Total
$ 55.26
$ 70.13
$ 88.98
$ 23.13
$ 27.35
$ 32.32
$ 23.28
$ 29.16
$ 34.96
$ 1.89
$ 2.07
$ 2.25
$ 9.40
$ 9.40
$ 9.40
$ 3.68
$ 3.68
$ 3.68
$ 116.65
$ 141.79
$ 171.59
Rule Alternative A3 UV90-10B
<100
$ 0.25
$ 0.31
$ 0.40
$ 0.23
$ 0.28
$ 0.34
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.48
$ 0.60
$ 0.74
100-499
$ 0.35
$ 0.44
$ 0.55
$ 0.32
$ 0.38
$ 0.46
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$
$
$
$
$
$
$ 0.68
$ 0.84
$ 1.03
500-999
$ 0.24
$ 0.30
$ 0.37
$ 0.22
$ 0.26
$ 0.31
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$
$
$
$
$
$
$ 0.48
$ 0.59
$ 0.72
1,000-3,299
$ 0.87
$ 1.12
$ 1.41
$ 0.77
$ 0.93
$ 1.11
$ 0.08
$ 0.09
$ 0.10
$ 0.08
$ 0.09
$ 0.09
$
$
$
$
$
$
$ 1.80
$ 2.22
$ 2.71
3,300-9,999
$ 2.40
$ 3.11
$ 3.93
$ 1.51
$ 1.79
$ 2.13
$ 0.22
$ 0.26
$ 0.30
$ 0.11
$ 0.12
$ 0.12
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 4.25
$ 5.28
$ 6.50
10,000-49,999
$ 12.66
$ 15.87
$ 20.01
$ 5.67
$ 6.63
$ 7.87
$ 0.39
$ 0.46
$ 0.53
$ 0.20
$ 0.22
$ 0.24
$ 0.72
$ 0.72
$ 0.72
$ 0.24
$ 0.24
$ 0.24
$ 19.89
$ 24.15
$ 29.61
50,000-99,999
$ 8.61
$ 10.91
$ 13.81
$ 2.94
$ 3.48
$ 4.14
$ 0.34
$ 0.41
$ 0.47
$ 0.14
$ 0.15
$ 0.16
$ 0.19
$ 0.19
$ 0.19
$ 0.10
$ 0.10
$ 0.10
$ 12.32
$ 15.23
$ 18.87
100,000-999,999
$ 26.03
$ 32.86
$ 41.43
$ 9.83
$ 11.72
$ 13.90
$ 1.07
$ 1.26
$ 1.46
$ 0.59
$ 0.64
$ 0.69
$ 7.07
$ 7.07
$ 7.07
$ 2.82
$ 2.82
$ 2.82
$ 47.41
$ 56.36
$ 67.36
1,000,000+
$ 11.74
$ 14.86
$ 18.72
$ 5.47
$ 6.54
$ 7.77
$ 21.18
$ 26.67
$ 32.09
$ 0.75
$ 0.84
$ 0.92
$ 1.41
$ 1.41
$ 1.41
$ 0.52
$ 0.52
$ 0.52
$ 41.08
$ 50.83
$ 61.43
Total
$ 63.16
$ 79.78
$ 100.64
$ 26.96
$ 32.02
$ 38.03
$ 23.28
$ 29.16
$ 34.96
$ 1.89
$ 2.07
$ 2.25
$ 9.40
$ 9.40
$ 9.40
$ 3.68
$ 3.68
$ 3.68
$ 128.38
$ 156.11
$ 188.96
Rule Alternative A4
<100
$ 0.14
$ 0.18
$ 0.24
$ 0.12
$ 0.14
$ 0.17
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.26
$ 0.33
$ 0.41
100-499
$ 0.19
$ 0.24
$ 0.31
$ 0.16
$ 0.19
$ 0.22
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$
$
$
$
$
$
$ 0.36
$ 0.44
$ 0.55
500-999
$ 0.12
$ 0.16
$ 0.20
$ 0.10
$ 0.11
$ 0.14
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$
$
$
$
$
$
$ 0.24
$ 0.30
$ 0.37
1,000-3,299
$ 0.41
$ 0.53
$ 0.68
$ 0.37
$ 0.44
$ 0.53
$ 0.08
$ 0.09
$ 0.10
$ 0.08
$ 0.09
$ 0.09
$
$
$
$
$
$
$ 0.93
$ 1.14
$ 1.40
3,300-9,999
$ 1.09
$ 1.42
$ 1.84
$ 0.80
$ 0.96
$ 1.16
$ 0.22
$ 0.26
$ 0.30
$ 0.11
$ 0.12
$ 0.12
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 2.22
$ 2.76
$ 3.43
10,000-49,999
$ 4.60
$ 6.08
$ 7.81
$ 2.38
$ 2.83
$ 3.37
$ 0.39
$ 0.46
$ 0.53
$ 0.20
$ 0.22
$ 0.24
$ 0.72
$ 0.72
$ 0.72
$ 0.24
$ 0.24
$ 0.24
$ 8.54
$ 10.55
$ 12.90
50,000-99,999
$ 3.06
$ 4.10
$ 5.32
$ 1.10
$ 1.31
$ 1.55
$ 0.34
$ 0.41
$ 0.47
$ 0.14
$ 0.15
$ 0.16
$ 0.19
$ 0.19
$ 0.19
$ 0.10
$ 0.10
$ 0.10
$ 4.93
$ 6.25
$ 7.79
100,000-999,999
$ 8.65
$ 11.50
$ 14.83
$ 3.02
$ 3.60
$ 4.27
$ 1.07
$ 1.26
$ 1.46
$ 0.59
$ 0.64
$ 0.69
$ 7.07
$ 7.07
$ 7.07
$ 2.82
$ 2.82
$ 2.82
$ 23.22
$ 26.89
$ 31.13
1,000,000+
$ 3.71
$ 4.93
$ 6.36
$ 1.50
$ 1.80
$ 2.14
$ 21.18
$ 26.67
$ 32.09
$ 0.75
$ 0.84
$ 0.92
$ 1.41
$ 1.41
$ 1.41
$ 0.52
$ 0.52
$ 0.52
$ 29.07
$ 36.17
$ 43.44
Total
$ 21.96
$ 29.15
$ 37.58
$ 9.55
$ 11.37
$ 13.55
$ 23.28
$ 29.16
$ 34.96
$ 1.89
$ 2.07
$ 2.25
$ 9.40
$ 9.40
$ 9.40
$ 3.68
$ 3.68
$ 3.68
$ 69.77
$ 84.83
$ 101.43
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.21b: Treatment Uncertainty - Annualized, 7% (ICRSSM)
Size Category
Filtered Treatment Capital
Filtered Treatment O&M
Unfiltered Treatment Capital
Unfiltered Treatment O&M
Uncovered Reservoirs Capital
Uncovered Reservoirs O&M
Total
5th
Mean
95th
5th
Mean
95th
5th
Mean
95th
5th
Mean
95th
5th
Mean
95th
5th
Mean
95th
5th
Mean
95th
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
Rule Alternative A1
<100
$ 0.72
$ 0.86
$ 1.00
$ 0.75
$ 0.80
$ 0.86
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 1.47
$ 1.66
$ 1.86
100-499
$ 1.08
$ 1.27
$ 1.46
$ 1.28
$ 1.39
$ 1.50
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$
$
$
$
$
$
$ 2.37
$ 2.67
$ 2.97
500-999
$ 0.73
$ 0.86
$ 0.99
$ 1.23
$ 1.34
$ 1.46
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$
$
$
$
$
$
$ 1.98
$ 2.23
$ 2.47
1,000-3,299
$ 3.88
$ 4.69
$ 5.50
$ 4.33
$ 4.74
$ 5.16
$ 0.08
$ 0.09
$ 0.10
$ 0.08
$ 0.09
$ 0.09
$
$
$
$
$
$
$ 8.36
$ 9.61
$ 10.85
3,300-9,999
$ 11.95
$ 14.62
$ 17.27
$ 6.24
$ 6.78
$ 7.32
$ 0.22
$ 0.26
$ 0.30
$ 0.11
$ 0.12
$ 0.12
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 18.53
$ 21.78
$ 25.02
10,000-49,999
$ 44.79
$ 51.14
$ 57.51
$ 22.49
$ 23.85
$ 25.22
$ 0.39
$ 0.46
$ 0.53
$ 0.20
$ 0.22
$ 0.24
$ 0.72
$ 0.72
$ 0.72
$ 0.24
$ 0.24
$ 0.24
$ 68.84
$ 76.63
$ 84.46
50,000-99,999
$ 30.29
$ 34.76
$ 39.20
$ 12.71
$ 13.47
$ 14.23
$ 0.34
$ 0.41
$ 0.47
$ 0.14
$ 0.15
$ 0.16
$ 0.19
$ 0.19
$ 0.19
$ 0.10
$ 0.10
$ 0.10
$ 43.77
$ 49.07
$ 54.36
100,000-999,999
$ 93.22
$ 106.32
$ 119.42
$ 44.60
$ 47.23
$ 49.91
$ 1.07
$ 1.26
$ 1.46
$ 0.59
$ 0.64
$ 0.69
$ 7.07
$ 7.07
$ 7.07
$ 2.82
$ 2.82
$ 2.82
$ 149.36
$ 165.35
$ 181.36
1,000,000+
$ 41.62
$ 47.43
$ 53.24
$ 25.37
$ 26.85
$ 28.35
$ 21.18
$ 26.67
$ 32.09
$ 0.75
$ 0.84
$ 0.92
$ 1.41
$ 1.41
$ 1.41
$ 0.52
$ 0.52
$ 0.52
$ 90.85
$ 103.72
$ 116.53
Total
$ 228.27
$ 261.95
$ 295.59
$ 118.99
$ 126.46
$ 134.00
$ 23.28
$ 29.16
$ 34.96
$ 1.89
$ 2.07
$ 2.25
$ 9.40
$ 9.40
$ 9.40
$ 3.68
$ 3.68
$ 3.68
$ 385.52
$ 432.72
$ 479.88
Rule Alternative A2
<100
$ 0.26
$ 0.33
$ 0.41
$ 0.24
$ 0.29
$ 0.34
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.50
$ 0.62
$ 0.75
100-499
$ 0.36
$ 0.46
$ 0.57
$ 0.35
$ 0.42
$ 0.50
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$
$
$
$
$
$
$ 0.72
$ 0.90
$ 1.08
500-999
$ 0.24
$ 0.31
$ 0.38
$ 0.27
$ 0.32
$ 0.38
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$
$
$
$
$
$
$ 0.54
$ 0.66
$ 0.79
1,000-3,299
$ 0.99
$ 1.28
$ 1.60
$ 0.96
$ 1.16
$ 1.37
$ 0.08
$ 0.09
$ 0.10
$ 0.08
$ 0.09
$ 0.09
$
$
$
$
$
$
$ 2.11
$ 2.62
$ 3.17
3,300-9,999
$ 2.82
$ 3.69
$ 4.66
$ 1.69
$ 2.02
$ 2.37
$ 0.22
$ 0.26
$ 0.30
$ 0.11
$ 0.12
$ 0.12
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 4.85
$ 6.10
$ 7.46
10,000-49,999
$ 10.51
$ 13.60
$ 16.88
$ 5.21
$ 6.20
$ 7.20
$ 0.39
$ 0.46
$ 0.53
$ 0.20
$ 0.22
$ 0.24
$ 0.72
$ 0.72
$ 0.72
$ 0.24
$ 0.24
$ 0.24
$ 17.27
$ 21.43
$ 25.81
50,000-99,999
$ 7.00
$ 9.17
$ 11.50
$ 2.63
$ 3.13
$ 3.63
$ 0.34
$ 0.41
$ 0.47
$ 0.14
$ 0.15
$ 0.16
$ 0.19
$ 0.19
$ 0.19
$ 0.10
$ 0.10
$ 0.10
$ 10.40
$ 13.14
$ 16.05
100,000-999,999
$ 20.63
$ 26.81
$ 33.48
$ 8.23
$ 9.80
$ 11.42
$ 1.07
$ 1.26
$ 1.46
$ 0.59
$ 0.64
$ 0.69
$ 7.07
$ 7.07
$ 7.07
$ 2.82
$ 2.82
$ 2.82
$ 40.40
$ 48.39
$ 56.93
1,000,000+
$ 9.05
$ 11.76
$ 14.68
$ 4.42
$ 5.28
$ 6.17
$ 21.18
$ 26.67
$ 32.09
$ 0.75
$ 0.84
$ 0.92
$ 1.41
$ 1.41
$ 1.41
$ 0.52
$ 0.52
$ 0.52
$ 37.34
$ 46.48
$ 55.79
Total
$ 51.88
$ 67.41
$ 84.16
$ 23.99
$ 28.62
$ 33.39
$ 23.28
$ 29.16
$ 34.96
$ 1.89
$ 2.07
$ 2.25
$ 9.40
$ 9.40
$ 9.40
$ 3.68
$ 3.68
$ 3.68
$ 114.13
$ 140.34
$ 167.84
Rule Alternative A3
<100
$ 0.17
$ 0.23
$ 0.29
$ 0.15
$ 0.18
$ 0.22
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.32
$ 0.42
$ 0.51
100-499
$ 0.23
$ 0.31
$ 0.39
$ 0.20
$ 0.25
$ 0.29
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$
$
$
$
$
$
$ 0.44
$ 0.57
$ 0.69
500-999
$ 0.15
$ 0.20
$ 0.26
$ 0.13
$ 0.16
$ 0.19
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$
$
$
$
$
$
$ 0.31
$ 0.39
$ 0.47
1,000-3,299
$ 0.54
$ 0.73
$ 0.92
$ 0.47
$ 0.59
$ 0.70
$ 0.08
$ 0.09
$ 0.10
$ 0.08
$ 0.09
$ 0.09
$
$
$
$
$
$
$ 1.17
$ 1.49
$ 1.82
3,300-9,999
$ 1.43
$ 1.94
$ 2.47
$ 1.00
$ 1.24
$ 1.48
$ 0.22
$ 0.26
$ 0.30
$ 0.11
$ 0.12
$ 0.12
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 2.76
$ 3.57
$ 4.39
10,000-49,999
$ 7.99
$ 10.57
$ 13.27
$ 3.54
$ 4.32
$ 5.08
$ 0.39
$ 0.46
$ 0.53
$ 0.20
$ 0.22
$ 0.24
$ 0.72
$ 0.72
$ 0.72
$ 0.24
$ 0.24
$ 0.24
$ 13.08
$ 16.53
$ 20.07
50,000-99,999
$ 5.32
$ 7.14
$ 9.04
$ 1.65
$ 2.02
$ 2.38
$ 0.34
$ 0.41
$ 0.47
$ 0.14
$ 0.15
$ 0.16
$ 0.19
$ 0.19
$ 0.19
$ 0.10
$ 0.10
$ 0.10
$ 7.73
$ 10.00
$ 12.34
100,000-999,999
$ 15.33
$ 20.46
$ 25.83
$ 4.98
$ 6.12
$ 7.21
$ 1.07
$ 1.26
$ 1.46
$ 0.59
$ 0.64
$ 0.69
$ 7.07
$ 7.07
$ 7.07
$ 2.82
$ 2.82
$ 2.82
$ 31.85
$ 38.36
$ 45.07
1,000,000+
$ 6.60
$ 8.82
$ 11.15
$ 2.70
$ 3.32
$ 3.92
$ 21.18
$ 26.67
$ 32.09
$ 0.75
$ 0.84
$ 0.92
$ 1.41
$ 1.41
$ 1.41
$ 0.52
$ 0.52
$ 0.52
$ 33.16
$ 41.58
$ 50.01
Total
$ 37.77
$ 50.40
$ 63.61
$ 14.81
$ 18.20
$ 21.47
$ 23.28
$ 29.16
$ 34.96
$ 1.89
$ 2.07
$ 2.25
$ 9.40
$ 9.40
$ 9.40
$ 3.68
$ 3.68
$ 3.68
$ 90.83
$ 112.91
$ 135.37
Rule Alternative A3 UV90-10B
<100
$ 0.17
$ 0.23
$ 0.29
$ 0.15
$ 0.18
$ 0.22
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.32
$ 0.42
$ 0.51
100-499
$ 0.23
$ 0.31
$ 0.39
$ 0.20
$ 0.25
$ 0.29
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$
$
$
$
$
$
$ 0.44
$ 0.57
$ 0.69
500-999
$ 0.15
$ 0.20
$ 0.26
$ 0.13
$ 0.16
$ 0.19
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$
$
$
$
$
$
$ 0.31
$ 0.39
$ 0.47
1,000-3,299
$ 0.54
$ 0.73
$ 0.92
$ 0.47
$ 0.59
$ 0.70
$ 0.08
$ 0.09
$ 0.10
$ 0.08
$ 0.09
$ 0.09
$
$
$
$
$
$
$ 1.17
$ 1.49
$ 1.82
3,300-9,999
$ 1.46
$ 1.97
$ 2.51
$ 1.01
$ 1.25
$ 1.49
$ 0.22
$ 0.26
$ 0.30
$ 0.11
$ 0.12
$ 0.12
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 2.80
$ 3.61
$ 4.44
10,000-49,999
$ 8.75
$ 11.50
$ 14.38
$ 3.87
$ 4.72
$ 5.55
$ 0.39
$ 0.46
$ 0.53
$ 0.20
$ 0.22
$ 0.24
$ 0.72
$ 0.72
$ 0.72
$ 0.24
$ 0.24
$ 0.24
$ 14.18
$ 17.86
$ 21.65
50,000-99,999
$ 5.91
$ 7.85
$ 9.89
$ 1.91
$ 2.34
$ 2.76
$ 0.34
$ 0.41
$ 0.47
$ 0.14
$ 0.15
$ 0.16
$ 0.19
$ 0.19
$ 0.19
$ 0.10
$ 0.10
$ 0.10
$ 8.59
$ 11.04
$ 13.57
100,000-999,999
$ 17.46
$ 23.08
$ 28.97
$ 6.20
$ 7.62
$ 8.99
$ 1.07
$ 1.26
$ 1.46
$ 0.59
$ 0.64
$ 0.69
$ 7.07
$ 7.07
$ 7.07
$ 2.82
$ 2.82
$ 2.82
$ 35.20
$ 42.48
$ 49.98
1,000,000+
$ 7.78
$ 10.28
$ 12.88
$ 3.43
$ 4.22
$ 4.98
$ 21.18
$ 26.67
$ 32.09
$ 0.75
$ 0.84
$ 0.92
$ 1.41
$ 1.41
$ 1.41
$ 0.52
$ 0.52
$ 0.52
$ 35.07
$ 43.93
$ 52.80
Total
$ 42.45
$ 56.15
$ 70.48
$ 17.37
$ 21.33
$ 25.17
$ 23.28
$ 29.16
$ 34.96
$ 1.89
$ 2.07
$ 2.25
$ 9.40
$ 9.40
$ 9.40
$ 3.68
$ 3.68
$ 3.68
$ 98.08
$ 121.79
$ 145.95
Rule Alternative A4
<100
$ 0.09
$ 0.12
$ 0.16
$ 0.07
$ 0.09
$ 0.11
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.16
$ 0.22
$ 0.27
100-499
$ 0.12
$ 0.16
$ 0.20
$ 0.10
$ 0.12
$ 0.15
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$
$
$
$
$
$
$ 0.23
$ 0.29
$ 0.36
500-999
$ 0.08
$ 0.10
$ 0.13
$ 0.06
$ 0.07
$ 0.09
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$
$
$
$
$
$
$ 0.16
$ 0.20
$ 0.25
1,000-3,299
$ 0.25
$ 0.34
$ 0.44
$ 0.23
$ 0.29
$ 0.35
$ 0.08
$ 0.09
$ 0.10
$ 0.08
$ 0.09
$ 0.09
$
$
$
$
$
$
$ 0.64
$ 0.80
$ 0.98
3,300-9,999
$ 0.68
$ 0.92
$ 1.19
$ 0.49
$ 0.62
$ 0.76
$ 0.22
$ 0.26
$ 0.30
$ 0.11
$ 0.12
$ 0.12
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 1.51
$ 1.93
$ 2.38
10,000-49,999
$ 2.53
$ 3.48
$ 4.52
$ 1.40
$ 1.73
$ 2.07
$ 0.39
$ 0.46
$ 0.53
$ 0.20
$ 0.22
$ 0.24
$ 0.72
$ 0.72
$ 0.72
$ 0.24
$ 0.24
$ 0.24
$ 5.48
$ 6.85
$ 8.32
50,000-99,999
$ 1.68
$ 2.35
$ 3.08
$ 0.65
$ 0.80
$ 0.96
$ 0.34
$ 0.41
$ 0.47
$ 0.14
$ 0.15
$ 0.16
$ 0.19
$ 0.19
$ 0.19
$ 0.10
$ 0.10
$ 0.10
$ 3.10
$ 3.99
$ 4.96
100,000-999,999
$ 4.72
$ 6.53
$ 8.53
$ 1.73
$ 2.14
$ 2.57
$ 1.07
$ 1.26
$ 1.46
$ 0.59
$ 0.64
$ 0.69
$ 7.07
$ 7.07
$ 7.07
$ 2.82
$ 2.82
$ 2.82
$ 17.99
$ 20.46
$ 23.13
1,000,000+
$ 2.02
$ 2.80
$ 3.65
$ 0.83
$ 1.04
$ 1.25
$ 21.18
$ 26.67
$ 32.09
$ 0.75
$ 0.84
$ 0.92
$ 1.41
$ 1.41
$ 1.41
$ 0.52
$ 0.52
$ 0.52
$ 26.71
$ 33.27
$ 39.84
Total
$ 12.15
$ 16.80
$ 21.91
$ 5.56
$ 6.91
$ 8.29
$ 23.28
$ 29.16
$ 34.96
$ 1.89
$ 2.07
$ 2.25
$ 9.40
$ 9.40
$ 9.40
$ 3.68
$ 3.68
$ 3.68
$ 55.97
$ 68.02
$ 80.50
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit 0.21c: Treatment Uncertainty - Annualized, 7% (ICRSSL)
Size Category
Filtered Treatment Capital
Filtered Treatment O&M
Unfiltered Treatment Capital
Unfiltered Treatment O&M
Uncovered Reservoirs Capital
Uncovered Reservoirs O&M
Total
5th
Mean
95th
5th
Mean
95th
5th
Mean
95th
5th
Mean
95th
5th
Mean
95th
5th
Mean
95th
5th
Mean
95th
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
Rule Alternative A1
<100
$ 0.72
$ 0.86
$ 1.00
$ 0.75
$ 0.80
$ 0.86
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 1.47
$ 1.66
$ 1.86
100-499
$ 1.08
$ 1.27
$ 1.46
$ 1.28
$ 1.39
$ 1.50
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$
$
$
$
$
$
$ 2.37
$ 2.67
$ 2.97
500-999
$ 0.73
$ 0.86
$ 0.99
$ 1.23
$ 1.34
$ 1.46
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$
$
$
$
$
$
$ 1.98
$ 2.23
$ 2.47
1,000-3,299
$ 3.88
$ 4.69
$ 5.50
$ 4.33
$ 4.74
$ 5.16
$ 0.08
$ 0.09
$ 0.10
$ 0.08
$ 0.09
$ 0.09
$
$
$
$
$
$
$ 8.36
$ 9.61
$ 10.85
3,300-9,999
$ 11.95
$ 14.62
$ 17.27
$ 6.24
$ 6.78
$ 7.32
$ 0.22
$ 0.26
$ 0.30
$ 0.11
$ 0.12
$ 0.12
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 18.53
$ 21.78
$ 25.02
10,000-49,999
$ 44.79
$ 51.14
$ 57.51
$ 22.49
$ 23.85
$ 25.22
$ 0.39
$ 0.46
$ 0.53
$ 0.20
$ 0.22
$ 0.24
$ 0.72
$ 0.72
$ 0.72
$ 0.24
$ 0.24
$ 0.24
$ 68.84
$ 76.63
$ 84.46
50,000-99,999
$ 30.29
$ 34.76
$ 39.20
$ 12.71
$ 13.47
$ 14.23
$ 0.34
$ 0.41
$ 0.47
$ 0.14
$ 0.15
$ 0.16
$ 0.19
$ 0.19
$ 0.19
$ 0.10
$ 0.10
$ 0.10
$ 43.77
$ 49.07
$ 54.36
100,000-999,999
$ 93.22
$ 106.32
$ 119.42
$ 44.60
$ 47.23
$ 49.91
$ 1.07
$ 1.26
$ 1.46
$ 0.59
$ 0.64
$ 0.69
$ 7.07
$ 7.07
$ 7.07
$ 2.82
$ 2.82
$ 2.82
$ 149.36
$ 165.35
$ 181.36
1,000,000+
$ 41.62
$ 47.43
$ 53.24
$ 25.37
$ 26.85
$ 28.35
$ 21.18
$ 26.67
$ 32.09
$ 0.75
$ 0.84
$ 0.92
$ 1.41
$ 1.41
$ 1.41
$ 0.52
$ 0.52
$ 0.52
$ 90.85
$ 103.72
$ 116.53
Total
$ 228.27
$ 261.95
$ 295.59
$ 118.99
$ 126.46
$ 134.00
$ 23.28
$ 29.16
$ 34.96
$ 1.89
$ 2.07
$ 2.25
$ 9.40
$ 9.40
$ 9.40
$ 3.68
$ 3.68
$ 3.68
$ 385.52
$ 432.72
$ 479.88
Rule Alternative A2
<100
$ 0.22
$ 0.29
$ 0.38
$ 0.19
$ 0.25
$ 0.30
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.41
$ 0.54
$ 0.68
100-499
$ 0.30
$ 0.40
$ 0.51
$ 0.28
$ 0.36
$ 0.43
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$
$
$
$
$
$
$ 0.59
$ 0.78
$ 0.96
500-999
$ 0.20
$ 0.27
$ 0.34
$ 0.21
$ 0.27
$ 0.33
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$
$
$
$
$
$
$ 0.43
$ 0.57
$ 0.70
1,000-3,299
$ 0.78
$ 1.09
$ 1.40
$ 0.75
$ 0.99
$ 1.20
$ 0.08
$ 0.09
$ 0.10
$ 0.08
$ 0.09
$ 0.09
$
$
$
$
$
$
$ 1.69
$ 2.25
$ 2.80
3,300-9,999
$ 2.21
$ 3.12
$ 4.06
$ 1.38
$ 1.77
$ 2.14
$ 0.22
$ 0.26
$ 0.30
$ 0.11
$ 0.12
$ 0.12
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 3.92
$ 5.28
$ 6.64
10,000-49,999
$ 8.20
$ 11.56
$ 14.93
$ 4.15
$ 5.34
$ 6.43
$ 0.39
$ 0.46
$ 0.53
$ 0.20
$ 0.22
$ 0.24
$ 0.72
$ 0.72
$ 0.72
$ 0.24
$ 0.24
$ 0.24
$ 13.91
$ 18.54
$ 23.08
50,000-99,999
$ 5.45
$ 7.79
$ 10.16
$ 2.06
$ 2.65
$ 3.19
$ 0.34
$ 0.41
$ 0.47
$ 0.14
$ 0.15
$ 0.16
$ 0.19
$ 0.19
$ 0.19
$ 0.10
$ 0.10
$ 0.10
$ 8.27
$ 11.29
$ 14.27
100,000-999,999
$ 15.88
$ 22.58
$ 29.30
$ 6.23
$ 8.11
$ 9.79
$ 1.07
$ 1.26
$ 1.46
$ 0.59
$ 0.64
$ 0.69
$ 7.07
$ 7.07
$ 7.07
$ 2.82
$ 2.82
$ 2.82
$ 33.65
$ 42.48
$ 51.13
1,000,000+
$ 6.94
$ 9.87
$ 12.80
$ 3.28
$ 4.30
$ 5.21
$ 21.18
$ 26.67
$ 32.09
$ 0.75
$ 0.84
$ 0.92
$ 1.41
$ 1.41
$ 1.41
$ 0.52
$ 0.52
$ 0.52
$ 34.08
$ 43.61
$ 52.95
Total
$ 40.16
$ 56.97
$ 73.88
$ 18.52
$ 24.04
$ 29.03
$ 23.28
$ 29.16
$ 34.96
$ 1.89
$ 2.07
$ 2.25
$ 9.40
$ 9.40
$ 9.40
$ 3.68
$ 3.68
$ 3.68
$ 96.95
$ 125.32
$ 153.21
Rule Alternative A3
<100
$ 0.12
$ 0.19
$ 0.25
$ 0.11
$ 0.15
$ 0.18
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.23
$ 0.34
$ 0.43
100-499
$ 0.17
$ 0.25
$ 0.32
$ 0.14
$ 0.19
$ 0.24
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$
$
$
$
$
$
$ 0.32
$ 0.45
$ 0.58
500-999
$ 0.11
$ 0.16
$ 0.21
$ 0.09
$ 0.12
$ 0.15
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$
$
$
$
$
$
$ 0.22
$ 0.31
$ 0.39
1,000-3,299
$ 0.38
$ 0.57
$ 0.75
$ 0.33
$ 0.46
$ 0.56
$ 0.08
$ 0.09
$ 0.10
$ 0.08
$ 0.09
$ 0.09
$
$
$
$
$
$
$ 0.87
$ 1.20
$ 1.51
3,300-9,999
$ 0.99
$ 1.50
$ 1.99
$ 0.71
$ 0.99
$ 1.23
$ 0.22
$ 0.26
$ 0.30
$ 0.11
$ 0.12
$ 0.12
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 2.05
$ 2.88
$ 3.66
10,000-49,999
$ 5.79
$ 8.55
$ 11.15
$ 2.55
$ 3.47
$ 4.23
$ 0.39
$ 0.46
$ 0.53
$ 0.20
$ 0.22
$ 0.24
$ 0.72
$ 0.72
$ 0.72
$ 0.24
$ 0.24
$ 0.24
$ 9.90
$ 13.66
$ 17.11
50,000-99,999
$ 3.85
$ 5.77
$ 7.60
$ 1.17
$ 1.59
$ 1.95
$ 0.34
$ 0.41
$ 0.47
$ 0.14
$ 0.15
$ 0.16
$ 0.19
$ 0.19
$ 0.19
$ 0.10
$ 0.10
$ 0.10
$ 5.79
$ 8.21
$ 10.47
100,000-999,999
$ 11.06
$ 16.46
$ 21.59
$ 3.49
$ 4.76
$ 5.81
$ 1.07
$ 1.26
$ 1.46
$ 0.59
$ 0.64
$ 0.69
$ 7.07
$ 7.07
$ 7.07
$ 2.82
$ 2.82
$ 2.82
$ 26.09
$ 33.01
$ 39.44
1,000,000+
$ 4.75
$ 7.08
$ 9.29
$ 1.88
$ 2.57
$ 3.14
$ 21.18
$ 26.67
$ 32.09
$ 0.75
$ 0.84
$ 0.92
$ 1.41
$ 1.41
$ 1.41
$ 0.52
$ 0.52
$ 0.52
$ 30.50
$ 39.09
$ 47.38
Total
$ 27.24
$ 40.54
$ 53.17
$ 10.48
$ 14.30
$ 17.49
$ 23.28
$ 29.16
$ 34.96
$ 1.89
$ 2.07
$ 2.25
$ 9.40
$ 9.40
$ 9.40
$ 3.68
$ 3.68
$ 3.68
$ 75.97
$ 99.16
$ 120.95
Rule Alternative A3 UV90-10B
<100
$ 0.12
$ 0.19
$ 0.25
$ 0.11
$ 0.15
$ 0.18
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.23
$ 0.34
$ 0.43
100-499
$ 0.17
$ 0.25
$ 0.32
$ 0.14
$ 0.19
$ 0.24
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$
$
$
$
$
$
$ 0.32
$ 0.45
$ 0.58
500-999
$ 0.11
$ 0.16
$ 0.21
$ 0.09
$ 0.12
$ 0.15
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$
$
$
$
$
$
$ 0.22
$ 0.31
$ 0.39
1,000-3,299
$ 0.38
$ 0.57
$ 0.75
$ 0.33
$ 0.46
$ 0.56
$ 0.08
$ 0.09
$ 0.10
$ 0.08
$ 0.09
$ 0.09
$
$
$
$
$
$
$ 0.87
$ 1.20
$ 1.51
3,300-9,999
$ 1.01
$ 1.53
$ 2.03
$ 0.72
$ 1.00
$ 1.24
$ 0.22
$ 0.26
$ 0.30
$ 0.11
$ 0.12
$ 0.12
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 2.07
$ 2.92
$ 3.70
10,000-49,999
$ 6.32
$ 9.26
$ 12.02
$ 2.78
$ 3.78
$ 4.60
$ 0.39
$ 0.46
$ 0.53
$ 0.20
$ 0.22
$ 0.24
$ 0.72
$ 0.72
$ 0.72
$ 0.24
$ 0.24
$ 0.24
$ 10.66
$ 14.68
$ 18.34
50,000-99,999
$ 4.25
$ 6.31
$ 8.25
$ 1.36
$ 1.85
$ 2.25
$ 0.34
$ 0.41
$ 0.47
$ 0.14
$ 0.15
$ 0.16
$ 0.19
$ 0.19
$ 0.19
$ 0.10
$ 0.10
$ 0.10
$ 6.38
$ 9.00
$ 11.42
100,000-999,999
$ 12.51
$ 18.41
$ 23.97
$ 4.36
$ 5.93
$ 7.22
$ 1.07
$ 1.26
$ 1.46
$ 0.59
$ 0.64
$ 0.69
$ 7.07
$ 7.07
$ 7.07
$ 2.82
$ 2.82
$ 2.82
$ 28.41
$ 36.12
$ 43.22
1,000,000+
$ 5.55
$ 8.16
$ 10.62
$ 2.40
$ 3.27
$ 3.99
$ 21.18
$ 26.67
$ 32.09
$ 0.75
$ 0.84
$ 0.92
$ 1.41
$ 1.41
$ 1.41
$ 0.52
$ 0.52
$ 0.52
$ 31.81
$ 40.87
$ 49.55
Total
$ 30.43
$ 44.83
$ 58.41
$ 12.29
$ 16.74
$ 20.43
$ 23.28
$ 29.16
$ 34.96
$ 1.89
$ 2.07
$ 2.25
$ 9.40
$ 9.40
$ 9.40
$ 3.68
$ 3.68
$ 3.68
$ 80.97
$ 105.88
$ 129.14
Rule Alternative A4
<100
$ 0.06
$ 0.09
$ 0.12
$ 0.05
$ 0.07
$ 0.09
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.00
$ 0.11
$ 0.16
$ 0.21
100-499
$ 0.07
$ 0.11
$ 0.16
$ 0.06
$ 0.09
$ 0.11
$ 0.00
$ 0.00
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$
$
$
$
$
$
$ 0.15
$ 0.21
$ 0.29
500-999
$ 0.05
$ 0.07
$ 0.10
$ 0.04
$ 0.05
$ 0.07
$ 0.01
$ 0.01
$ 0.01
$ 0.01
$ 0.02
$ 0.02
$
$
$
$
$
$
$ 0.11
$ 0.15
$ 0.20
1,000-3,299
$ 0.16
$ 0.24
$ 0.34
$ 0.15
$ 0.21
$ 0.27
$ 0.08
$ 0.09
$ 0.10
$ 0.08
$ 0.09
$ 0.09
$
$
$
$
$
$
$ 0.46
$ 0.63
$ 0.80
3,300-9,999
$ 0.43
$ 0.66
$ 0.93
$ 0.32
$ 0.45
$ 0.59
$ 0.22
$ 0.26
$ 0.30
$ 0.11
$ 0.12
$ 0.12
$ 0.01
$ 0.01
$ 0.01
$ 0.00
$ 0.00
$ 0.00
$ 1.08
$ 1.50
$ 1.95
10,000-49,999
$ 1.55
$ 2.37
$ 3.35
$ 0.87
$ 1.21
$ 1.57
$ 0.39
$ 0.46
$ 0.53
$ 0.20
$ 0.22
$ 0.24
$ 0.72
$ 0.72
$ 0.72
$ 0.24
$ 0.24
$ 0.24
$ 3.97
$ 5.22
$ 6.65
50,000-99,999
$ 1.03
$ 1.60
$ 2.28
$ 0.41
$ 0.56
$ 0.73
$ 0.34
$ 0.41
$ 0.47
$ 0.14
$ 0.15
$ 0.16
$ 0.19
$ 0.19
$ 0.19
$ 0.10
$ 0.10
$ 0.10
$ 2.20
$ 3.00
$ 3.93
100,000-999,999
$ 2.88
$ 4.43
$ 6.30
$ 1.07
$ 1.49
$ 1.94
$ 1.07
$ 1.26
$ 1.46
$ 0.59
$ 0.64
$ 0.69
$ 7.07
$ 7.07
$ 7.07
$ 2.82
$ 2.82
$ 2.82
$ 15.49
$ 17.70
$ 20.27
1,000,000+
$ 1.23
$ 1.90
$ 2.70
$ 0.51
$ 0.71
$ 0.93
$ 21.18
$ 26.67
$ 32.09
$ 0.75
$ 0.84
$ 0.92
$ 1.41
$ 1.41
$ 1.41
$ 0.52
$ 0.52
$ 0.52
$ 25.60
$ 32.04
$ 38.56
Total
$ 7.45
$ 11.47
$ 16.28
$ 3.47
$ 4.83
$ 6.30
$ 23.28
$ 29.16
$ 34.96
$ 1.89
$ 2.07
$ 2.25
$ 9.40
$ 9.40
$ 9.40
$ 3.68
$ 3.68
$ 3.68
$ 49.19
$ 60.61
$ 72.87
Economic Analysis for the LT2ESWTR
December 2005
-------
Appendix P
Sensitivity Analyses for Cost of Illness Values
P.l Introduction and Summary
Chapter 5 and Appendices K and L of this Economic Analysis (EA) describe the approach and
calculations used to determine dollar values for reductions in nonfatal cases of cryptosporidiosis. That
approach uses two point estimates, the Traditional and Enhanced, for the cost of illness (COI) and relies
on single point values for the key inputs. This appendix tests the sensitivity of the results to alternative
values for two of the key underlying inputs to the Enhanced COI. The first input is the value of
nonmarket time. The second is the percentage productivity loss that may accompany an illness, which is
applied to the time that someone is ill but is at least partly productive. These days are assumed to be the
difference between the duration of the entire illness less the "days lost" due to the illness. For each of
these two inputs to the Enhanced COI, low and high estimates are selected, and the effects of using those
different values on the net benefits and the selection of the Preferred Alternative are presented. It should
be noted that the Low COI value used in this sensitivity analysis is very roughly about two-thirds the
value used for the Enhanced COI, and thus is also (very roughly) about twice the value used for the
Traditional COI.
The overall result of using the Low Value for Cost-of-Illness (COI) is that Alternative A4
becomes somewhat more competitive alternative relative to the Preferred Alternative (A3), although not
as strongly so as when using the Traditional COI. Alternative A4 does not excel under every condition,
and the competitiveness of Alternative 4 is undercut somewhat given that there exist unquantified
benefits. The Preferred Alternative continues to meet all threshold criteria, even when the Low Value for
COI is used.
The overall result of using the High Value for COI is that Alternative A3 continues to be the
strongest alternative across all the relevant considerations. The consideration of these two alternative
values for the Enhanced COI strengthens the basis for selecting A3 as the Preferred Alternative. The
sensitivity analysis shows Alternative A3 to be robust in the face of a range of alternative values.
P.2 Alternative Values for the Dollar Value of Nonmarket Work and Leisure Time
Losses and the Percent Decrease in Productivity
As discussed previously in Appendix L, the estimate for the Enhanced COI includes values for
both lost time and lost productivity. While the determination of the value of lost market work time
appears relatively straightforward, the valuation of nonmarket work and leisure losses is subject to two
major sources of uncertainty: (1) individuals may value these losses at a rate significantly higher or lower
than the post-tax median wage; and (2) the reported amount of time lost may include some time spent on
activities that represent an incomplete loss of utility; e.g., some of this time may be spent reading rather
than coping with a bout of diarrhea. There would be, of course, some offsetting utility losses from the
discomfort and stress of being sick. The values used in the sensitivity analysis test the effect of each of
these sources of uncertainty on the value of lost nonmarket work and leisure time.
The survey question used to determine the percentage decrease in productivity refers to
productivity while performing normal activities. While this rate of decrease appears consistent with the
findings from studies of other illnesses, it is possible that the decrease in the productivity of nonmarket
Economic Analysis for the LT2ESWTR
P-l
December 2005
-------
work and leisure time may be greater or less than this estimate. The values used in these two components
of the sensitivity analysis are discussed in more detail below.
P.2.1 Dollar Value of Nonmarket Work and Leisure Time Losses
The sensitivity analysis of the dollar value of nonmarket work and leisure time losses uses a high
value of 150 percent of the Enhanced COI for nonmarket work and leisure time loss, and a low value of
50 percent of the Enhanced COI. These bounds represent the effect of (1) assuming that all nonmarket
work and leisure time lost is valued at a rate higher than under the Enhanced COI and (2) assuming that
some of the nonmarket work and leisure time lost is an incomplete loss of utility.
The Enhanced COI for the value of nonmarket work and leisure time is based on median post-tax
wages. This estimate reflects the assumption that the opportunity cost of nonmarket work and leisure
time is, at a minimum, the wages foregone. In other words, an individual who chooses to engage in
activities other than market work does so because, at the margin, the utility (productivity plus any
additional enjoyment) from nonmarket work or leisure is greater than the utility gained from market work.
Therefore, that individual must value a marginal hour of his or her nonmarket work and leisure time at a
rate at least equal to the marginal net wage per hour he or she could have earned in the job market. For
many individuals, the median post-tax wage may understate the value of nonmarket work and leisure
time.1
This assumption is consistent with the fact that many workers demand a rate higher than their
hourly wage to work additional hours. Hence the high value used in the sensitivity analysis is derived
from information on overtime pay. The Fair Labor Standards Act states that workers covered by its
provisions must be paid at a rate not less than one and one-half times their regular pay for work over 40
hours in 1 work week unless specifically exempted (U.S. Department of Labor undated). Applying this
"time-and-a-half' standard to the recommended value of $12.46 per hour for nonmarket work and leisure
time leads to a high value of $18.69 per hour.
The low value for nonmarket work and leisure time reflects the fact that individuals may gain
some utility from the activities they pursue while ill, hence the loss is not complete. The question used to
determine time losses refers to changes in normal activities; however, in some cases the activities that
replace the normal activities may have some positive value. For example, during the period reported as
lost time, an individual may substitute reading a book for playing golf, in a case where golf would have
been the preferred activity if that person were well. The reading time presumably has some positive value
to that individual that is less than the value of golfing. Other portions of the time reported as lost, e.g.,
that spent coping with a bout of diarrhea, may have close to zero value and hence represent a relatively
complete loss of utility. Thus, while the loss for time spent in the latter condition (a bout of diarrhea)
may be complete (i.e., equal to the post-tax wage rate) the loss in the former case (reading rather than
golfing) would be partial (i.e., equal to some fraction of the post-tax wage rate). The total amount of lost
nonmarket work and leisure time thus may include both some time that is a total loss and some that is a
partial loss, so that the average loss would be less than the Enhanced COI (i.e., than the post-tax wage
rate).
Only limited research is available that is applicable to determining this fractional value. Perhaps
the most relevant available research is that which focuses on the value of travel time in the context of
1 Median wage data is used instead of data on marginal rates due to difficulties in determining the latter. It
is unclear whether this approach under- or overstates the actual value of time trade-offs at the margin.
Economic Analysis for the LT2ESWTR
P-2
December 2005
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recreational demand studies. These revealed preference studies use information on the costs associated
with the recreational use of different sites to estimate willingness to pay for various types of recreational
experiences, and the time spent traveling to alternate sites is one part of these costs. These studies
typically value time spent traveling to a recreation site at a fixed fraction of the individual's wage rate;
this represents the disutility associated with travel.2
The precise fraction of the wage rate used to value travel time costs has ranged from zero to one
in published empirical studies. Recently, it has become somewhat standard practice to use one-third the
individual's wage rate as a proxy for the value of travel time, although there is no strong theoretical basis
for this assumption (Shaw and Feather 1999). Rather than assuming a particular value for time costs, a
few researchers have estimated the value of time empirically. For example, McConnell and Strand (1981)
find that the value of travel time is approximately 60 percent of the wage rate, while some of Larson's
work implies that the value of travel time is approximately 16 percent of the wage rate (Larson 1993).
The use of one-third the wage rate in travel cost recreation studies appears to have its origin
within the transportation economics literature, and in particular from early reviews conducted by Beesley
(1965) and Cesario (1976). More recent reviews have provided limited support for this assumption.
Bruzelius (1979) finds that individuals value in-vehicle time for work trips at 20 to 30 percent of the wage
rate, while reviews by Small (1992) and Waters (1992) have suggested that the consensus value is near 50
percent of the wage rate.
Unfortunately, these studies are focused on a particular type of time use, i.e., for travel. The
resulting estimates are therefore not necessarily applicable to the types of time losses associated with
cryptosporidiosis, which may affect a variety of leisure and nonmarket work activities. However, they
suggest that 50 percent of the wage rate is within the range of reasonable estimates for activities (such as
travel) that have both enjoyable and unenjoyable aspects. Applying this 50-percent reduction standard to
the Enhanced COI of $12.46 per hour for nonmarket work and leisure time leads to a low value of $6.23
per hour.
The use of 50 percent of the wage rate is also consistent with the common practice in the human
capital literature of valuing nonmarket work time at the market rate for domestic workers3. This literature
uses replacement costs as a measure of the productivity of nonmarket work, rather than focusing on the
opportunity costs (or utility loss) for the individual who chooses to engage in nonmarket work. The
median weekly earnings of private household workers in the service industry were $276 per week in
2002, about 45 percent of the median weekly earnings of $609 for all workers (U.S. Census Bureau
Table 641). Private household workers include childcare workers, cleaners, and servants.
Exhibit P. 1 summarizes the estimates used for the sensitivity analysis of the value of nonmarket
work and leisure time.
2 Travel cost studies are focused on the costs (or negative impacts) associated with traveling longer
distances. They assume that travel time has some positive effects (or utility); otherwise, time costs would be valued
at the full wage rate (i.e., as a complete loss).
3 A pioneering example of this approach is Rice 1966; a more recent example is Thamer et al. 1998.
Economic Analysis for the LT2ESWTR
P-3
December 2005
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Exhibit P.1: Sensitivity Analysis Values for Nonmarket Work and Leisure Time
Time Loss Category
Low Estimate
Enhanced COI
High Estimate
Nonmarket Work and Leisure
Time
$6.23 per hour
$12.46 per hour
$18.69 per hour
Source: See discussion in preceding text.
P.2.2 Percent Decrease in Productivity
For the Enhanced COI, the value of time losses assumes that time spent in normal activities while
ill is 30 percent less productive than it would be in the absence of illness. This estimate of 30 percent
appears reasonable based on review of other studies valuing productivity losses due to illness. Exhibit
P.5 reports the results of several recent studies. The first column describes the illness addressed and cites
the source of the estimate, the second provides the estimated percentage of productivity lost due to the
respective illness, and the final column notes the type of question used to used obtain the productivity loss
estimate.
Exhibit P.2: Examples Of Productivity Losses Due To Illness
Condition
Percent Loss in
Productivity
Source of Estimate
Allergic Rhinitis (Crystal-
Peters et al. 2000)
25 percent
A prior study estimating productivity losses from hay
fever (McMenamin 1994).
Influenza (Keech et al.
1998)
35-73 percent
Survey participants were asked to rank their
effectiveness on a scale of 1-10, from totally ineffective
to fully effective.
Depression (Kessler et
al. 1999)
40 percent
Survey participants were asked to rate the amount of
work they did on less productive days from zero (no
work) to 100 (full days work).
Asthma (Ungar et al.,
2000)
19-45 percent
Asthma patients surveyed were asked for times that
breathing problems were enough to interfere with usual
daytime activities, "At what level did you function on a
scale from 1 to 100 percent?"
The Harrington et al. estimate of approximately 30 percent is within the range of the estimates
reported in these studies, which range from a low of 19 percent to a high (in one case) of 73 percent.
Some of these studies focus on lost work time, while others look more broadly at effectiveness across a
number of daily activities. Studies of other, potentially more severe illnesses (e.g., cancer and heart
disease) generally report greater productivity losses (for example, see Hartunian et al. 1981).
The close correlation between symptomatic effects and treatment of giardiasis and
cryptosporidiosis along with the support for the estimated productivity decrease gathered from the
literature review, suggest that it is most appropriate to use a narrow range of low to high values for the
sensitivity analysis. Exhibit P.6 provides the values used; the low value is based on the smallest loss from
Economic Analysis for the LT2ESWTR
P-4
December 2005
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Exhibit P.5 (rounded), while the high value is set conservatively at 10 percent points above the Enhanced
COI, since only one estimate from the above cited studies is significantly above this level.
Exhibit P.3: Sensitivity Analysis Values for Productivity Losses
Low Estimate
Enhanced COI
High Estimate
Percent Decrease in
Productivity
20 percent
30 percent
40 percent
Sources: See text discussion.
P.3 Sensitivity Analysis
P.3.1 Summary of Sensitivity Bounds
In summary, based on the discussion in section P.2, the alternative values for the sensitivity
analysis for nonfatal COI derive from alternative estimates for two variables.
Exhibit P.4: Summary of Values Varied in Sensitivity Analysis, 2003
Low Estimate
Enhanced COI
High Estimate
Nonmarket Work and
Leisure Time
$6.23 per hour
$12.46 per hour
$18.62 per hour
Percentage Decrease in
Productivity
20 percent
30 percent
40 percent
P.3.2 Cost of Illness, Year 2003 (Base Year)
The different values for nonmarket work and leisure time result in a recalculation of the weighted
average value of time, as shown in Exhibit P.5.
Economic Analysis for the LT2ESWTR
P-5
December 2005
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Exhibit P.5: Weighted Average Value of Time, 2003
Time Loss Category
Hours Per Day
Per Hour Value
Per Day Value
A
B
C = Ax B
Market Work Time
3.4
$20.82
$70.79
O
O
5
o
Nonmarket Work Time
2.3
$6.23
$14.33
Nonmarket Leisure Time
10.3
$6.23
$64.17
_i
Caregiver Day
Sum of weighted lost market work,
nonmarket work, and leisure days
$149.29
O
o
T3
Market Work Time
3.4
$20.82
$70.79
Nonmarket Work Time
2.3
$12.46
$28.66
0)
O
£
re
.c
£
LU
Nonmarket Leisure Time
10.3
$12.46
$128.34
Caregiver Day
Sum of weighted lost market work,
nonmarket work, and leisure days
$227.79
Market Work Time
3.5
$20.82
$70.79
O
o
¦E
O)
Nonmarket Work Time
2.3
$18.69
$42.99
Nonmarket Leisure Time
10.3
$18.69
$192.51
if
Caregiver Day
Sum of weighted lost market work,
nonmarket work, and leisure days
$306.29
Note: Rounded data are shown here, but full precision was used in all calculations.
Source: Enhanced COI: Exhibit L.9, Low and High COI: Exhibit P.4
The derivation of the total loss per case in the year 2003 (the Base Year) is shown in Exhibit P.6,
where the value of illnesses per day are multiplied by the number of days of illness. The overall impact
on the total COI for an illness is shown. The Low COI value is 63 percent of the Enhanced COI, and the
High COI value is 145 percent of the Enhanced COI estimate.
Economic Analysis for the LT2ESWTR
P-6
December 2005
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Exhibit P.6: Total Loss per Case (Year 2003), Low, Enhanced, and High COI
Loss Category
Days
Lost
Value Per Day
Total Loss Per Case
Low COI
Enhanced
COI
High COI
Low
COI
Enhanced
COI
High COI
A
B
C
D
E=A x B
F=A x C
G=A x D
Total
$526.95
$844.24
$1,227.99
Direct Medical
Costs
NA
NA
NA
NA
$106.91
$106.91
$106.91
Lost Time
Subtotal
$420.04
$737.33
$1,121.08
Lost Market Work
Days
1.697
$70.79
$70.79
$70.79
$120.13
$120.13
$120.13
Lost Nonmarket
Work Days
1.697
$14.33
$28.66
$42.99
$24.32
$48.64
$72.95
Lost Caregiver
Days
0.270
$149.29
$227.79
$306.29
$40.31
$61.50
$82.70
Lost Leisure
Time
1.697
$64.17
$128.34
$192.51
$108.90
$217.79
$326.69
Lost Leisure
Productivity
4.233
$64.17 x
20%
$128.34 x
30%
$192.51 x
40%
$54.33
$162.98
$325.96
Lost Productivity
at Work
4.233
($70.79 +
$14.33) x
20%
($70.79 +
$28.66) x
30%
($70.79 +
$42.99) x
40%
$72.06
$126.29
$192.65
Note: Detail may not calculate to totals due to independent rounding.
Source: Exhibits L.10, P.4, and P.5.
P.3.3 Year-By-Year Estimates for Low, Enhanced, and High Costs of Illness
Using data presented in Appendix C and Exhibit C.12, the data presented in Exhibit P.8 are
adjusted to reflect increases in the value of time each year to 2029. Using the data from 2003 as the base
year, the lost time portion of the cost of illness is adjusted to reflect the annual percent change in income
(the real GDP per capita). In the benefits model, the cases avoided in each year are valued as shown in
Exhibit P.9 (using unrounded data).
Economic Analysis for the LT2ESWTR
P-7
December 2005
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Exhibit P.7: Yearly Total Loss Per Case, Low, Enhanced, and High COI
year
income change
Low COI | Enhanced COI | High COI
Direct Med Costs
Low COI
Enhanced COI
High COI
(1 + A) * previous year
A
B
C
D
E
F = B + E
G = C + E
H = D + E
2003
Base
$420.04
$737.33
$1,121.08
$106.91
$526.95
$844.24
$1,227.99
2004
2.3%
$429.73
$754.34
$1,146.95
$106.91
$536.64
$861.25
$1,253.86
2005
3.9%
$446.52
$783.82
$1,191.76
$106.91
$553.43
$890.73
$1,298.67
2006
3.3%
$461.37
$809.88
$1,231.39
$106.91
$568.28
$916.79
$1,338.30
2007
2.3%
$472.18
$828.85
$1,260.24
$106.91
$579.09
$935.76
$1,367.15
2008
1.9%
$480.94
$844.23
$1,283.62
$106.91
$587.85
$951.14
$1,390.53
2009
2.0%
$490.37
$860.79
$1,308.79
$106.91
$597.28
$967.70
$1,415.70
2010
2.0%
$500.02
$877.73
$1,334.56
$106.91
$606.93
$984.64
$1,441.47
2011
1.8%
$508.89
$893.29
$1,358.21
$106.91
$615.80
$1,000.20
$1,465.12
2012
1.7%
$517.39
$908.22
$1,380.91
$106.91
$624.30
$1,015.13
$1,487.82
2013
1.7%
$526.04
$923.39
$1,403.98
$106.91
$632.95
$1,030.30
$1,510.89
2014
1.7%
$534.83
$938.83
$1,427.45
$106.91
$641.74
$1,045.74
$1,534.36
2015
1.7%
$543.79
$954.55
$1,451.35
$106.91
$650.70
$1,061.46
$1,558.26
2016
1.7%
$552.91
$970.57
$1,475.71
$106.91
$659.82
$1,077.48
$1,582.62
2017
1.7%
$562.21
$986.89
$1,500.53
$106.91
$669.12
$1,093.80
$1,607.44
2018
1.7%
$571.70
$1,003.55
$1,525.85
$106.91
$678.61
$1,110.46
$1,632.76
2019
1.7%
$581.38
$1,020.55
$1,551.70
$106.91
$688.29
$1,127.46
$1,658.61
2020
1.7%
$591.27
$1,037.91
$1,578.10
$106.91
$698.18
$1,144.82
$1,685.01
2021
1.7%
$601.35
$1,055.60
$1,605.00
$106.91
$708.26
$1,162.51
$1,711.91
2022
1.7%
$611.61
$1,073.60
$1,632.36
$106.91
$718.52
$1,180.51
$1,739.27
2023
1.7%
$622.03
$1,091.91
$1,660.20
$106.91
$728.94
$1,198.82
$1,767.11
2024
1.7%
$632.65
$1,110.54
$1,688.53
$106.91
$739.56
$1,217.45
$1,795.44
2025
1.7%
$643.45
$1,129.50
$1,717.36
$106.91
$750.36
$1,236.41
$1,824.27
2026
1.7%
$654.45
$1,148.81
$1,746.71
$106.91
$761.36
$1,255.72
$1,853.62
2027
1.7%
$665.65
$1,168.48
$1,776.62
$106.91
$772.56
$1,275.39
$1,883.53
Note: Full precision is used in model calculations. Rounded data are shown here.
The Traditional COI only includes valuation for medical costs and lost work time (including some portion of unpaid
household production). The Enhanced COI also factors in valuations for lost personal time (non-work time) such as
child care and homemaking (to the extent not covered by the traditional COI), time with family, and recreation, and
lost productivity at work on days when workers are ill but go to work anyway.
Source: Exhibits L.11 and P.8.
P.3.4 Annualized Values
Using these COI values in the sensitivity analysis requires several steps. First, the values are
applied to the cases of illness avoided each year. Those year-to-year amounts are discounted to present
values (2003$) and then annualized over 25 years. The results are shown below in Exhibit P.8.
Economic Analysis for the LT2ESWTR
P-8
December 2005
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Exhibit P.8: Annualized Value of Illnesses Avoided,
byCOIVa
ue, Data Set, and Regulatory Alternative
Regulatory
COI Value
Data Set
Alternative
Low
Enhanced
High
Annualized Value (3 percent, 25 years)
A1
$ 456
$ 748
$ 1,102
ICR
A2
$ 449
$ 737
$ 1,086
A3- Preferred
$ 444
$ 729
$ 1,074
A4
$ 416
$ 683
$ 1,007
ICRSSL
A1
$ 135
$ 221
$ 326
A2
$ 115
$ 189
$ 279
A3- Preferred
$ 107
$ 175
$ 258
A4
$ 92
$ 150
$ 222
A1
$
236
$
388
$
572
ICRSSM
A2
$
219
$
360
$
530
A3- Preferred
$
210
$
345
$
507
A4
$
185
$
303
$
446
Annualized Value (7 percent, 25 years)
A1
$
367
$
603
$
887
ICR
A2
$
362
$
594
$
874
A3- Preferred
$
358
$
587
$
865
A4
$
336
$
551
$
811
ICRSSL
A1
$ 109
$ 178
$ 262
A2
$ 93
$ 153
$ 225
A3- Preferred
CD
00
$ 141
$ 208
A4
$ 74
$ 121
$ 179
ICRSSM
A1
$ 191
$ 313
$ 460
A2
$ 177
$ 290
$ 427
A3- Preferred
$ 169
$ 278
$ 409
A4
$ 149
$ 244
$ 360
The impact of these Low and High values on the level of annualized total benefits is also
proportional, but the overall spread of values is narrower. This is because total benefits include benefits
from avoided fatalities, which are unaffected by the High and Low values for COI. The results are shown
in Exhibit P.9.
Economic Analysis for the LT2ESWTR
P-9
December 2005
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Exhibit P.9: Annualized Value of Illnesses and Deaths Avoided,
by COI Value, Data Set, and Regulatory Alternative
Data Set
Regulatory
Alternative
COI Value
Percent Difference
from Enhanced COI
Low
Enhanced
High
Low
High
Annualized Value (3 percent, 25 years)
ICR
A1
$ 1,602
$ 1,895
$ 2,249
85%
119%
A2
$ 1,583
$ 1,871
$ 2,220
85%
119%
A3- Preferred
$ 1,568
$ 1,853
$ 2,198
85%
119%
A4
$ 1,486
$ 1,753
$ 2,077
85%
118%
ICRSSL
A1
$ 472
$ 558
$ 663
85%
119%
A2
$ 415
$ 489
$ 579
85%
118%
A3- Preferred
$ 390
$ 458
$ 541
85%
118%
A4
$ 346
$ 405
$ 476
85%
118%
ICRSSM
A1
$ 829
$ 981
$ 1,165
85%
119%
A2
$ 779
$ 919
$ 1,089
85%
119%
A3- Preferred
$ 751
$ 886
$ 1,049
85%
118%
A4
$ 677
$ 796
$ 939
85%
118%
Annualized Value (7 percent, 25 years)
ICR
A1
$ 1,299
$ 1,534
$ 1,819
85%
119%
A2
$ 1,283
$ 1,515
$ 1,795
85%
119%
A3- Preferred
$ 1,272
$ 1,501
$ 1,778
85%
118%
A4
$ 1,206
$ 1,421
$ 1,681
85%
118%
ICRSSL
A1
$ 382
$ 452
$ 536
85%
119%
A2
$ 337
$ 396
$ 468
85%
118%
A3- Preferred
$ 316
$ 371
$ 438
85%
118%
A4
$ 281
$ 328
$ 386
86%
117%
ICRSSM
A1
$ 672
$ 794
$ 942
85%
119%
A2
$ 631
$ 744
$ 881
85%
118%
A3- Preferred
$ 609
$ 718
$ 849
85%
118%
A4
$ 550
$ 645
$ 760
85%
118%
Economic Analysis for the LT2ESWTR
P-10
December 2005
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P.3.5 Sensitivity of Results to Alternative COI Values
Net Benefits
The previous section reports the results of using alternative values for the COI on the amount, or
level, of total benefits. The results follow expected patterns: lower estimates for these key variables yield
lower overall benefits, and higher estimates for those variables produce higher estimates of total benefits.
The following sections are more meaningful in that they test whether the use of alternative measures of
COI would produce different conclusions. That is, do the Regulatory Alternatives still meet economic
threshold criteria? What do comparisons between alternatives reveal? The following sections largely
follow the pattern of comparisons and tests developed in Chapter 8, Net Benefits.
The first threshold test is whether the Regulatory Alternatives continue to be likely to have positive
net benefits. Exhibit P. 10 compares the mean net benefits computed using each of the three COI
estimates with the maximum net benefits shown in bold. Alternatives A2, A3 (the Preferred Alternative),
and A4 all have positive net benefits under all circumstances. Alternative A1 has consistently positive net
benefits, except when using the ICRSSL data set and a 7 percent discount rate.
Economic Analysis for the LT2ESWTR
P-ll
December 2005
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Exhibit P.10: Mean Net Benefits
for Low, Enhanced, and High Values for COI
Data Set
Regulatory
Alternative
COI Value
Low
Enhanced
High
Annualized Value (3 percent, 25 years
ICR
A1
$ 1,210
$ 1,502
$ 1,856
A2
$ 1,430
$ 1,718
$ 2,067
A3- Preferred
$ 1,445
$ 1,730
$ 2,075
A4
$ 1,416
$ 1,683
$ 2,006
ICRSSL
A1
$ 79
$ 166
$ 271
A2
$ 302
$ 376
$ 466
A3- Preferred
$ 307
$ 375
$ 458
A4
$ 299
$ 357
$ 429
ICRSSM
A1
$ 437
$ 589
$ 772
A2
$ 652
$ 792
$ 963
A3- Preferred
$ 656
$ 790
$ 953
A4
$ 623
$ 741
$ 885
Annualized Value (7 percent, 25 years
ICR
A1
$ 875
$ 1,111
$ 1,395
A2
$ 1,114
$ 1,346
$ 1,627
A3- Preferred
$ 1,134
$ 1,364
$ 1,641
A4
$ 1,126
$ 1,341
$ 1,601
ICRSSL
A1
$ -41
$ 28
$ 113
A2
$ 211
$ 270
$ 343
A3- Preferred
$ 222
$ 278
$ 344
A4
$ 226
$ 274
$ 331
ICRSSM
A1
$ 249
$ 371
$ 518
A2
$ 490
$ 604
$ 740
A3- Preferred
$ 501
$ 610
$ 741
A4
$ 487
$ 583
$ 698
Maximum Net Benefits
Identifying the maximum net benefits among the regulatory alternatives is a first step in a
comparative analysis of regulatory alternatives. Considering the combinations of occurrence data sets,
low and high COI values, and discount rates, the Preferred Regulatory Alternative (A3) had the maximum
net benefits of the alternatives for over half of the combinations. However, the differences are often
slight among the three regulatory alternatives (A2, A3, and A4) (Exhibit P. 10). When evaluating the
difference between alternatives, the range is never more than 11 percent for all of the combinations.
Economic Analysis for the LT2ESWTR
P-12
December 2005
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Incremental Net Benefits
The patterns of incremental benefits discussed in this appendix are based on the Enhanced COI.
Exhibit P. 11 below, shows the patterns derived from using the Low and High values for COI. Rule
alternatives can also be compared on the basis of their incremental net benefits. Generally, the goal of an
incremental analysis is to identify the last regulatory option with positive net incremental benefits.
However, the usefulness of this analysis is limited because many benefits from the rule are nonqualified
and not monetized. Using either the Low or High COI estimates, the Preferred Alternative has equivalent
or superior performance to using the Enhanced COI. The sensitivity of mean benefit estimates in this
analysis is further illustrated by the ranking analysis presented in section P.3.5.
Exhibit P.11: Incremental Net Benefits, by Alternative and Data Set -
Enhanced COI
Data
Set
Regulatory
Alternative
Annual
Costs
Annual Benefits Based On:
Incremental
Costs[1]
Incremental Benefits Based On:
Incremental Net Benefits Based On:
Low COI
Enhanced
COI
High COI
Low COI
Enhanced
COI
High COI
Low COI
Enhanced
COI
High COI
A
B
C
D
E = D -C
3 Percent Discount Rate
ICR
A4
$70
$ 1,486
$ 1,753
$ 2,077
$70
$ 1,486
$ 1,753
$ 2,077 I $ 1,416
$ 1,683
$ 2,006
A3- Preferred
$123
$ 1,568
$ 1,853
$ 2,198
$53
$ 82
$ 100
$ 122|$ 29
$ 47
$ 69
A2
$153
$ 1,583
$ 1,871
$ 2,220
$30
$ 14
$ 18
$ 21
$ (16)
$ (12)
$ (9)
A1
$392
$ 1,602
$ 1,895
$ 2,249
$239
$ 19
$ 24
$ 29
$ (220)
$ (216)
$ (210)
ICRSSL
A4
$47
$ 346
$ 405
$ 476
$47
$ 346
$ 405
$ 476 I $ 299
$ 357
$ 429
A3- Preferred
$83
$ 390
$ 458
$ 541
$35
$ 44
$ 53
$ 65 | $ 8
$ 18
$ 29
A2
$113
$ 415
$ 489
$ 579
$30
$ 25
$ 31
$ 38
$ (5)
$ 1
$ 8
A1
$392
$ 472
$ 558
$ 663
$280
$ 57
$ 69
$ 84
$ (223)
$ (210)
$ (195)
ICRSSM
A4
$54
$ 677
$ 796
$ 939
$54
$ 677
$ 796
$ 939 I $ 623
$ 741
$ 885
A3- Preferred
$96
$ 751
$ 886
$ 1,049
$41
$ 74
$ 90
$ 110 |$ 33
$ 49
$ 68
A2
$127
$ 779
$ 919
$ 1,089
$31
$ 27
$ 33
$ 41
$ (4)
$ 2
$ 9
A1
$392
$ 829
$ 981
$ 1,165
$266
$ 51
$ 62
$ 75
$ (215)
$ (204)
$ (190)
7 Percent Discount Rate
ICR
A4
$80
$ 1,206
$ 1,421
$ 1,681
$80
$ 1,206
$ 1,421
$ 1,681 I $ 1,126
$ 1,341
$ 1,601
A3- Preferred
$137
$ 1,272
$ 1,501
$ 1,778
$57
$ 66
$ 80
$ 98 I $ 9
$ 23
$ 40
A2
$169
$ 1,283
$ 1,515
$ 1,795
$31
$ 12
$ 14
$ 17
$ (20)
$ (17)
$ (14)
A1
$423
$ 1,299
$ 1,534
$ 1,819
$255
$ 16
$ 19
$ 23
$ (239)
$ (236)
$ (231)
ICRSSL
A4
$55
$ 281
$ 328
$ 386
$55
$ 281
$ 328
$ 386
$ 226
$ 274
$ 331
A3- Preferred
$94
$ 316
$ 371
$ 438
$39
$ 35
$ 43
$ 52
$ (4)
$ 4
$ 13
A2
$126
$ 337
$ 396
$ 468
$32
$ 20
$ 25
$ 30
$ (12)
$ (7)
$ (2)
A1
$423
$ 382
$ 452
$ 536
$298
$ 46
$ 56
$ 68
$ (252)
$ (242)
$ (230)
ICRSSM
A4
$62
$ 550
$ 645
$ 760
$62
$ 550
$ 645
$ 760 I $ 487
$ 583
$ 698
A3- Preferred
$108
$ 609
$ 718
$ 849
$45
$ 60
$ 73
40
CO
CO
u
$ 27
$ 43
A2
$141
$ 631
$ 744
$ 881
$33
$ 22
$ 27
$ 33
$ (11)
$ (6)
$ (0)
A1
$423
$ 672
$ 794
$ 942
$283
$ 41
$ 50
$ 60
$ (242)
$ (233)
$ (222)
Economic Analysis for the LT2ESWTR
P-13
December 2005
-------
Ranking of Alternative by Net Benefits
In Chapter 8, the sensitivity of the ranking of each of the regulatory alternatives in terms of net
benefits is shown (Exhibits 8.15 and 8.16). Those exhibits show the sensitivity of those rankings to
alternative benefit estimates. They demonstrate how unquantified benefits, if they could be quantified
and included, might alter the conclusions reached about the relative preference of regulatory alternatives.
These exhibits hold the number of illness and deaths due to cryptosporidiosis constant.
Exhibits P. 12 and P. 13 show the Enhance COI graph (Exhibit 8.15) with the Low and High COIs
noted with dashed lines. The "1" on the x-axis represents the Enhanced COI. The Low and High dashed
lines are the ratio of total benefits calculated with the Low COI and High COI to the Enhanced (these
ratios expressed as percentages are also presented in Exhibit P.9). The preferred Alternative A3 still has
the highest net benefits under most occurrence and discount scenarios and Low COI.
Cost Effectiveness-Traditional Approach
In Chapter 8, Exhibit 8.17 compares the range of costs for the mean benefit levels of each
alternative. Below, Exhibits P. 14a and P. 14b repeat that exhibit, but adds two lines into each graph that
reflect use of the Low and High COI values in the calculation of benefits. Note that the curves only shift
horizontally relative to the curves derived from the Enhanced COI (that is, benefits change, but costs are
constant in this sensitivity analysis). As a result, the conclusion for all three values for the COI is the
same as for the Enhanced COI: all alternatives are cost-effective. No regulatory alternative provides more
benefits at the same or lower cost than another, and no alternative can achieve lower costs for the same or
greater level of benefits than another.
Cost Per Illness Avoided and Cost Per Death Avoided
Exhibit P.8 presents the COI avoided using three values for COI. These are in 2003$, are unadjusted
for future real income growth, and are not weighted by when in time the illnesses are avoided. In Chapter
8, the Enhanced COI was compared against the values in Exhibit 8.18, which are the costs that each
regulatory alternative imposes to avoid each illness. Similarly, we can compare the values in Exhibit 8.18
to the Low and High COI values.
In summary, the results when using the Low COI are exactly the same as when using the Enhanced
COI: all alternatives pass this test, except when estimates for Alternative A1 are derived from
distributions based on the ICRSSL data set. Comparing the values in Exhibit 8.17 against the High COI
value of $1,071.81 shows that in only one case, A1 based on the ICRSSL distribution at a 3-percent
discount rate, does the cost of avoiding an illness exceed the High COI value. Remember that this test is
very conservative and counts both the illnesses and deaths avoided.
Economic Analysis for the LT2ESWTR
P-14
December 2005
-------
Exhibit P.12
Comparison of Regulatory Alternatives Ranked by Net Benefits,
With Low, Enhanced, and High COI Values, 3 Percent Cost
Rankings of Regulatory Alternatives, ICR Data Set
(by Net Benefits)
5 *
100%
80%
60%
40%
20%
0%
0.5
1 1
Vi i
X. i
Hiah COI
Low COI j
(0.85) i
1
1 1 x
1 1
1 1 ^v
1 \
1 ' Enhanced
| COI
j [ (1.0)
1 1
(1.19)
i I I
1.5 2 2.5 3 3.5 4
Multiple of Calculated Benefits
4.5
»A1
A2
-A3
¦A4
Rankings of Regulatory Alternatives, ICRSSL Data Set
(by Net Benefits)
100%
® < 80%
Low COI
(0.85)
S S 20%
Enhanced
COI
2 2.5 3 3.5 4
Multiple of Calculated Benefits
¦A1
A2
¦A3
-A4
Rankings of Regulatory Alternatives, ICRSSM Data
Set
(by Net Benefits)
c
Q)
0) Q)
° 1
5 a
a %
2 =
Q_ aj
m
C
100%
ra
a:
80%
5
o
... 60%
_i
~G
40%
(0
.c
20%
O)
i
0%
1 1
m—^ ^0^^
\L_High
Lo
1 1 X.
\A/
1A' \ Enhan
.
¦ ¦
0 0.5 1 1.5 2 2.5 3 3.5 4 4.5
Multiple of Calculated Benefits
¦A1
A2
¦A3
¦A4
Economic Analysis for the LT2ESWTR
P-15
December 2005
-------
Exhibit P.13
Comparison of Regulatory Alternatives Ranked by Net Benefits,
With Low, Enhanced, and High COI Values, 7 Percent Cost
Rankings of Regulatory Alternatives, ICR Data Set
(by Net Benefits)
100%
i i
5 80%
i
i
C
Enhanced
i
s. 60%
COI
i
1
(1.0)
40%
i
14 High COI^V
Low COI
(1.19)
& 20%
(0.85) ~
i
i
0%
i
i
0 0.5
1
1.5 2 2.5 3 3.5 4 4.5 £
Multiple of Calculated Benefits
*A1
A2
-A3
-A4
Rankings of Regulatory Alternatives, ICRSSL Data Set
(by Net Benefits)
100%
Enhanced COI
(1.0) "
60%
40%
Low COI
(0.85)
High COI
(1.18)
20%
0%
0
0.5
2 2.5
Multiple of Calculated Benefits
3.5
4.5
Rankings of Regulatory Alternatives, ICRSSM Data Set
(by Net Benefits)
100%
Enhanced COI
(1.0)
60%
40%
Low COI
(0.85)
High COI
(1.18)
20%
0%
0
0.5
2 2.5
Multiple of Calculated Benefits
3.5
4.5
Economic Analysis for the LT2ESWTR
P-16
December 2005
-------
Exhibit P.14a: Range of Costs at Mean Benefit Level, By Low, Enhanced, and
High COI Values, All Regulatory Alternatives
3 Percent Discount Rate
$450
$400
$350
Low C
EnhancedCOl
$150 Alt. 4
%
I
j^CC
\"
[¦"
High COI
$1,700 $1,8
$2,000 $2,100 $2,200 $2,300
$500
$450
$400
_ - _
o
$100
o
$50
$0
$300
Enhanced COI
V * *
Alt. 3 X * *
V-M-----'-;:!:.- , '
$350 $400 $450 $500 $550 $600
High COI
$650 $700
$500 -
$450 -
$400 -
$350 -
$300 -
$250 -
$200 -
$150 -
$100 -
$50 -
$0 -
$600
Alt 3 \ /
\
Enhanced COI
\"
High COI
Mean of Benefits ($Millions)
Economic Analysis for the LT2ESWTR
P-17
December 2005
-------
Exhibit P.14b: Range of Costs at Mean Benefit Level, By Low, Enhanced, and
High COI Values, All Regulatory Alternatives
7 Percent Discount Rate
\'
\:
\-
Enhanced COI
High COI
\ "
$600
$500
Alt. 3 V
• N, ^l'
si <•,'
Enhanced COI
I' t
High COI
$300
$200
$100
V'
Alt. 2 ,
dt. 3 * '
Enhanced COI
... I'"1
High COI
$500 $550 $600 $650 $700 $750 $800 $850 $900 $950 $1,000
Mean of Benefits ($Millions)
Economic Analysis for the LT2ESWTR
P-18
December 2005
-------
Summary of Sensitivity Analysis
The Preferred Alternative passes threshold economic criteria whether using the Low, Enhanced, or
High Estimate for COI.
The Preferred Alternative (A3) has positive net benefits (Exhibit P. 10). (In fact, this is also
true for Alternatives A2 and A4, and true for Alternative A1 under 11 of the 12 possible
combinations of COI, data set, and discount rate.) Again, this conclusion is especially strong
because the quantified benefit estimates are underestimated since they do not include the
value of the unquantified benefits.
The Preferred Alternative (A3) is cost-effective: no other alternative achieves greater net
benefits at the same cost or the same benefits (this is true for all the alternatives) (Exhibit
P.4).
The Preferred Alternative (A3) is cost-effective based on comparing the cost of the rule to
either the number of illnesses or deaths avoided (and this is still true for Alternatives 2 and 4).
The Preferred Alternative is the superior alternative across a wide variety of measures, including
when considering alternative values for the COL
Under most conditions (in 7 of 12 combinations), the Preferred Alternative shows the highest
net benefits at the mean (Exhibit P.6).
The Preferred Alternative, and perhaps Alternative A2, appear to be especially good
bargains. The other alternatives have either significantly fewer benefits for similar costs or
greater benefits, but at dramatically higher costs (Exhibit P.4).
In the analysis of incremental benefits, the Preferred Alternative bounds the optimal level of
zero incremental net benefits (Exhibit P. 11), in all six of the Low COI conditions and in three
of the six High COI conditions. No other alternative has better performance across both the
Low and High COI estimates.
The Preferred Alternative is the superior alternative when benefits are near the average
values estimated, at levels near the benefits based on the Low COI, and at levels nearly as high as the
High COL
The net benefits of the Preferred Alternative are most often highest near the mean value of
benefits and over much of the range reflecting uncertainty in benefits estimates (Exhibits P. 12
and P. 13). Near the benefits levels corresponding to the Low COI, Alternative A4 under
some conditions nears a break point relative to A3. Up to levels nearly as high as those
corresponding to the High COI, A3 remains the highest ranked alternative.
This sensitivity analysis shows that the selection of the Preferred Alternative appears justified,
even when alternative values for the COI are considered.
Economic Analysis for the LT2ESWTR
P-19
December 2005
-------
Exhibit Q.l: Flowchart of LT2 Cost Model
Unit costs
raw data
Progl.sas
Read raw unit cost data.
Calculate Capital and O&M costs for selected
avg. flow and design flow values for each technology.
Capital and O&M unit cost data
LT2 input data
Createlnputl.sas
Read LT2 input data files and produce intermediate data
files used for Treatment Cost, HH and Small Plant model.
LT2 intermediate data
Model2.sas
Household (HH) Model
1
r
HH Model Output
Modell.sas
Treatment Cost Model
Treatment Cost Model Output
Model3.sas
Small Plant Model
1
r
Small Plants Model Output
Summaryl.sas
Treatment Cost Model Summary
Treatment Cost Model Summary Outputs
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit Q.2a: Flowchart of progl.sas
Unit costs
raw data
Capital and O&M unit cost data
Progl.sas
Read raw unit cost data.
Calculate Capital and O&M costs for selected
avg. flow and design flow values for each technology.
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit Q.2b: Input/Output Files for progl.sas
INPUT
Labor Rates.xls
LT2 Cost Summary_
LT2 Cost Summary_
LT2 Cost Summary_
LT2 Cost Summary_
LT2 Cost Summary_
LT2 Cost Summary_
LT2 Cost Summary_
LT2 Cost Summary_
LT2 Cost Summary_
LT2 Cost Summary_
LT2 Cost Summary_
LT2 Cost Summary_
LT2 Cost Summary_
LT2 Cost Summary_
LT2 Cost Summary_
LT2 Cost Summary_
LT2 Cost Summary_
LT2 Cost Summary_
(see Exhibit Q-2c for a description of input files to progl .sas)
bag Filter.xls
cartridge Filter.xls
bci_history.xls
cci_history.xls
capital_cost_indices.xls
technology_cost_base_year.xls
convert_to_chloramines_0.55NH3_dose.xls
convert_to_chloramines_0.15NH3_dose.xls
GAC_EBCT_20_d240.xls
GAC_EBCT_20_d90.xls
GAC_EBCT_10_d360.xls
nanofiltration.xls
microfiltration.xls
chlorinedioxide.xls
Ozone_0_5log.xls
Ozone_1log.xls
Ozone_2log.xls
UV40MJ CM2.xls
r
progl.sas
This program uses data from various excel inputs and
recalculates and re-creates outputs originally provided in the
various input sheets. The program recreates the LT2 Cost
Summary spreadsheets using SAS, and produces input files
used by Createlnput! .sas
1
r
OUTPUT
Capital and O&M costs based on average and design flows are calculated and saved as the following files:
Unit Cost_BAG_FILTER.xls Unit Cost
Unit Cost_CARTRIDGE_FILTER.xls Unit Cost
Unit Cost_TECHNOLOGY_COST_BASE_YEAR.xls Unit Cost.
Unit Cost_convert_to_chloramine_055NH3.xls Unit Cost_
Unit Cost_convert_to_chloramine_015NH3.xls Unit Cost_
Unit Cost_GAC_EBCT_20_240d.xls Unit Cost"
Unit Cost_GAC_EBCT_20_90d.xls Unit Cost
Unit Cost GAC EBCT 10 360d.xls Unit Cost
NANOFILTRATION.xls
MICROFILTRATION.xls
CHLORINEDIOXIDE.xls
OZONE_0_5LOG.xls
OZONE_1LOG.xls
OZONE_2LOG.xls
.UV40mJ_CM2.xls
UV2X200MJ CM2.xls
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit Q.2c:
Description of Inputs to progl.sas
Name of Input File
Description of Input File
Labor Rates.xls
Provides technical and managerial labor rates
corresponding to average and design flow for the nine
size categories.
LT2 Cost Summary bagFilter.xls
Provides useful life and costs associated with bag filters
corresponding to design and average flows.
LT2 Cost Summary cartridge Filter.xls
Provides useful life and costs associated with cartridge
filters corresponding to design and average flows.
LT2 Cost Summary bci history.xls
Provides monthly and annual BCI from 1915-2003.
LT2 Cost Summary cci history.xls
Provides monthly and annual CCI from 1915-2002. Only
January CCI provided for 2003.
LT2 Cost Summary capital cost indices.xls
Provides capital cost indices - month (annual), year
(2003)
LT2 Cost Summary technology cost base_year.xls
Provides month and year that costs were developed in for
nine technologies
LT2 Cost Summary convert to chloramines 0.55NH3 dose.xls
Provides useful life and equations to figure out system
chemical feed and various costs based on parameter
values and average and design flow provided in
spreadsheet.
LT2 Cost Summary convert to chloramines 0.15NH3 dose.xls
Provides useful life and equations to figure out system
chemical feed and various costs based on parameter
values and average and design flow provided in
spreadsheet.
LT2 Cost Summary_GAC_EBCT_20_d240.xls
Provides useful life, operator training, and number of
GAC contactors in use corresponding to average and
design flow.
LT2 Cost Summary_GAC_EBCT_20_d90.xls
Provides useful life, operator training, and number of
GAC contactors in use corresponding to average and
design flow.
LT2 Cost Summary_GAC_EBCT_10_d360.xls
Provides useful life, operator training, and number of
GAC contactors in use corresponding to average and
design flow.
LT2 Cost Summary nanofiltration.xls
Provides useful life and various parameter values
corresponding to average and design flow.
LT2 Cost Summary microfiltration.xls
Provides useful life and various parameter values
corresponding to average and design flow.
LT2 Cost Summary chlorinedioxide.xls
Provides useful life and various parameter values
corresponding to average and design flow.
LT2 Cost Summary Ozone 0 51og.xls
Provides average and maximum dose transferred, useful
life, and various parameter values corresponding to
average and design flow.
LT2 Cost Summary Ozone llog.xls
Provides average and maximum dose transferred, useful
life, and various parameter values corresponding to
average and design flow.
LT2 Cost Summary Ozone 21og.xls
Provides average and maximum dose transferred, useful
life, and various parameter values corresponding to
average and design flow.
LT2 Cost Summary_UV40MJ_CM2.xls
Provides number and size of reactors, and equations to
figure out number of reactors, footprint, electrical costs,
and various other costs based on parameter values and
average and design flow provided in spreadsheet.
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit Q.3a:
Flow Chart of Createlnputl.sas
INPUT
Inventory
SDWIS lnventory.mdb
Common cost inputs_Reservoir lnventory.xls
Cost Data/Parameters
Excel outputs generated by progl .sas
Common cost inputs_Reservoir Cost.xls
Common cost inputs_Reservoir flows.xls
Common cost inputs_Other cost inputs.xls
Common cost inputs_Plants per System Treatment.xls
TWG Unit Costs_CFP Costs.xls
TWG Unit Costs_TWG Costs.xls
LT2 Treatment Cost Model_Predicted System Binning.xls
Common cost inputs_Unfiltered Plants Selected
Technologies-Pcts.xls
Common cost inputs_Common Household Numbers.xls
System Treatment Characteristics
Monitoring.xls
Max Use.xls
Household
household pop matrix_Numbers.xls
Percent households by activity.xls
(See Exhibit Q-3b for a descriDtion inDut files to
Createlnput1..sas
This program creates the Cost build up tables, the LT2
Treatment Cost Model and the Implementation and
Monitoring Model in excel.
r
OUTPUT
(see Exhibit Q-3c for list of
output files generated by
Createlnput! .sas)
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit Q.3b:
Description of Inputs to Create Inputl.sas
Name of Input File
Description of Input File
Inventory
SDWIS Inventory.mdb
Access DB providing system and population inventory, size
categories, sellers with linked populations, purchasers with largest end
seller, and purchasers to link to sellers.
Common cost inputs Reservoir Inventory.xls
Provides PWSID, utility name, suface area, average depth, volume for
utilities in: CA, NY MD, WA, PR, OR, and NJ.
Cost Data/Parameters
Excel outputs generated by progl.sas
See Exhibit Q-la
Common cost inputs Reservoir Cost.xls
Provides size, capital and O&M cost for chlorine, and size and capital
costs for covers.
Common cost inputs Reservoir flows.xls
Provides costs for RS1-RS14 for design and average flows.
Common cost inputs Other cost inputs.xls
Provides value of value, source, and spreadsheet source for labor
rates, projection period, bounds on capital and O&M costs, people per
household, and discount rates.
Common cost inputs Plants per System Treatment.xls
Provides LT2 and Stage 2 plants per system for filtered and unfiltered
CWS, TNCWS, and NTNCWS for the nine system categories.
TWG Unit Costs CFP Costs.xls
Provides capital and O&M costs for combined filter performance for
the nine size categories.
TWG Unit Costs TWG Costs.xls
Provides capital and O&M costs for secondary filters, in-bank
filtration, and watershed control corresponding to average and design
flow.
LT2 Treatment Cost Model Predicted System Binning.xls
Provides system binning results for 0.5-2.5 log removal for options
A1-A4, ICR, ICRSSM, and ICRSSL.
Common cost inputs Unfiltered Plants Selected Technologies-Pcts.xls
Provides technology selection for unfiltered systems.
Common cost inputs Common Household Numbers.xls
Provides public and private discount rates, and household usage rates
for CWSs in the nine system size categories.
System Treatment Characteristics
Monitoring.xls
Provides implementation, monitoring, and benchmarking costs for
CWS, TNCWS, and NTNCWS, all occurrence distributions and
regulatory alternatives, and for both UV90-10 and UV90-10B
sensitivities.
Max Use.xls
Provides log credit and maximum use percentage for various
technologies for the nine size categories.
Household
household pop matrix Numbers.xls
Query of CWS Retail Population by Linked Population, from SDWIS
2003 inventory.mdb. Provides population for filtered and unfiltered
systems in the 9 population categories.
Percent households by activity.xls
Provides percent of total households by activity: implementation,
monitoring, and benchmarking. This is provided for CWSs, all
occurrence distributions, for the preferred alternative, and for both
UV90-10 and UV90-10B sensitivities.
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit Q.3c:
Description of Outputs generated by Createlnputl.sas
Name of Output File
Description of Output File
Plant Information
Filtered
No of Plants by Tech - Filtered.xls
Provides the number of filtered plants by technology and credit for
both sensitivities and all occurrence distributions, alternatives, for
CWSs, NTNCWSs, and TNCWSs.
Unfiltered
LT2 Treatment Cost Model Unfiltered Cost.xls
Costs for public and private plants by the nine population categories.
No of Plants by Tech-Unfiltered.xls
Technology Forecast for Unfiltered - Provides the number of
unfiltered plants by size category complying with 03 - 21og and UV -
31og
Compliance Forecast
LT2 Treatment Cost Model Compliance Forecast.xls
Provides number of CWS, NTNCWS, and TNCWS plants for the nine
population categories.
Binning
LT2 Treatment Cost Model PercentPlantsSelectTechs.xls
For the nine population categories - percent of plants from CWSs
selecting various technologies, and percent of plants in 2-log bin and
3-log bin.
Binning and Technology Selection Relative Cost.xls
Provides relative cost, log credit, maximum use percentage, treatment
bin, percent selecting, and cumulative sum for CWSs receiving
credit/not receiving credit in the nine population categories, for
various technologies and both sensitivities.
Discount Rates
LT2 Treatment Cost Model Small Plant Discount Rates.xls
Provides plants per system and weighted discount rates for CWS,
NTNCWS, and TNCWS for the nine population categories.
Economic Analysis for the LT2ESWTR
December 2005
-------
Exhibit Q.3c: (cont'd)
Description of Outputs generated by Createlnputl.sas
Name of Output File
Description of Output File
System Information
LT2 Treatment Cost Model Uncovered Reservoirs.xls
Provides number of reservoirs, capital and O&M costs for cover, C12,
UV for the nine population categories.
LT2 Treatment Cost Model Predicted System Binning.xls
Provides predicted percent of systems receiving 0.5-2.5 log removal
for all source water distributions and alternatives.
Baseline
popsum Treatment Baseline.xls
Provides percent with membranes before and after Stage 2, and for
LT2, the number of plants per system, number of systems, population,
number of plants, population per plant, number of households, and
average and design flows per system and per plant. This is provided
for filtered and unfiltered CWS, NTNCWS, TNCWS, for the nine
population categories.
popsum Household Cost Baseline.xls
Provides percent with membranes before and after Stage 2, and for
LT2, the number of plants per system, number of systems, population,
number of plants, population per plant, number of households, and
average and design flows per system and per plant. This is provided
for filtered and unfiltered, public and private, CWS, NTNCWS,
TNCWS, for the nine population categories.
popsum Imp and Monitoring Baseline.xls
Provides percent with membranes before and after Stage 2, and for
LT2, the number of plants per system, number of systems pre-Stage 2,
population, number of households. This is provided for filtered and
unfiltered, CWS, NTNCWS, TNCWS, for the nine population
categories.
Economic Analysis for the LT2ESWTR
December 2005
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Exhibit Q.3c: (cont'd)
Description of Outputs generated by Createlnputl.sas
Name of Output File
Description of Output File
Unit Costs
LT2 Treatment Cost Model Unit Costs-CWS.xls
Provides capital and O&M costs for CWSs for a number of
technologies for the nine population categories.
LT2 Treatment Cost Model Unit Costs-NTNCWS.xls
Provides capital and O&M costs for NTNCWSs for a number of
technologies for the nine population categories.
LT2 Treatment Cost Model Unit Costs-TNCWS.xls
Provides capital and O&M costs for TNCWSs for a number of
technologies for the nine population categories.
LT2 Treatment Cost Model Unit Costs Unfiltered-CWS.xls
Provides capital and O&M costs for 03 2-log and UV 3-log CWSs by
the nine population categories.
Households and Household Costs
Filtered
LT2 Treatment Cost Model Household Affected - Filtered.xls
Provides number of HH receiving filtered water per category and per
plant for the different occurrence distributions for the nine population
categories. Number of HH affected are provided for the different
technologies, and the number of HH unaffected is also provided.
LT2 Treatment Cost Model Household Costs - Filtered.xls
Provides average daily flow, discount rate, and household usage rate
for various technologies used by public and private systems, filtered,
sorted by the nine population categories.
Unfiltered
LT2 Treatment Cost Model Household Affected - Unfiltered.xls
Provides number of HH receiving unfiltered water per category and
per plant for the different occurrence distributions for the nine
population categories. Number of HH affected are provided for the
different technologies, and the number of HH unaffected is also
provided.
LT2 Treatment Cost Model Household Costs - Unfiltered.xls
Provides average daily flow, discount rate, and household usage rate
for 03 2-log removal and UV 3-log removal used by public and
private systems, unfiltered, sorted by the nine population categories.
Filtered & Unfiltered
Household linking exercise Unlinked HHs from Linked Pcts.xls
Number of households served by filtered and unfilted systems, by the
nine population categories.
Annualized Costs
LT2 Treatment Cost Model Household Costs Uncovered Res.xls
Provides annualized costs by household, by system, total annualized
costs, total number of households, number of plants per system, for
CWSs, for the nine population categories.
LT2 Implementation and Monitoring Model Tech Rep & Benchmarking.xls
Provides percent of total households, annualized cost per household,
and annualized cost per system for benchmarking and technology
reporting for CWSs, all occurrence distributions, UV90-10 sensitivity,
preferred alternative for the nine population categories.
LT2 Implementation and Monitoring Model Imp & Monitoring HH Costs.xls
Provides percent of total households, annualized cost per household,
and annualized cost per system for e-coli and crypto monitoring for
CWSs, all occurrence distributions, UV90-10 sensitivity, preferred
alternative for the nine population categories.
Economic Analysis for the LT2ESWTR
December 2005
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Exhibit Q.4: Flowchart of Model l.sas
(Treatment Cost Model)
LT2 Treatment Cost ModelUnit Costs-CWS.xls
LT2 Treatment Cost Model Unit Costs-NTNCWS.xls
LT2 Treatment Cost Model Unit Costs-TNCWS.xls
LT2 Treatment Cost Model Unit Costs Unfiltered-CWS.xls
(Capital/O&M unit cost by sys size and 'simple' technology)
MACRO CreateUnitCostData
MACRO CreateUNFUnitCostData
1. Create 10000 random multipliers for each 'simple' technology
based on triangular distribution for filtered\unfiltered systems
2. Calculate 10000 random 'simple' technology unit costs and 'derived' technology
unit costs
3. Save values of 'zero' iteration for HH model
Unit Costs CWS
Unit Costs NTNCWS
Unit Costs TNCWS
Unit_Cost_forModel3_CWS
Unit_Cost_forModel3_NTNCWS
Unit_Cost_forModel3_TNCWS
Unit Costs Unf CWS
Unit Cost forMode!3 unf CWS
LT2 Treatment Cost Model Predicted System Binning.xls
(by option, source water)
LT2 Treatment Cost Model Compliance Forecast.xls
(by system, size)
DATA STEP
1. Recreate Compliance Forecast sheet by adding
log removals for each option, source water, systemsize
Complianceforecast
Bin 0
Bin 1 0
Bin 1
£
MACRO AssignNumberOfPlantsToBins
1. This macro creates assigns number of plants to each filter ty{
in each bin b = bin 0 5,...,2 5 varl,var2,var3 = variables based on
credit received 0,1/2,1 (percentages from predicted system binning table
in Model and Inputs Summary sheet)
s
N
LT2 Treatment Cost Model
0
5 Bin.xls
LT2 Treatment Cost Model
1
0 Bin.xls
LT2 Treatment Cost Model
1
5 Bin.xls
LT2 Treatment Cost Model
2
0 Bin.xls
LT2 Treatment Cost Model
2
5 Bin.xls
\
J
DATA STEP
1. Prepare a table for cost build up by summing plants/technology
from all bin files by system, system size, option, source water
and sensitivity
2. Also, output bin-sum numbers of plant implementing
techniologies for use in small system models (ICR-A3)
BinSum
Binplantsbytechnology
(for use in small systems model)
CostBuildupCBl,.. .,Cost_Buildup_CB108
(one for each system, system, size, option, source
water, sensitivity and cost type)
MACRO CreateCostBuildUp
1. Recreate Cost Build Up tables by combining Unit Cost tables and Bin Sum
to calculate total cost by system, system size, option, source water, sensitivity
and cost type
MACRO CombineFiltUnfiltUnc
MACRO CalculateFinalStats
1. Combine filtered, unfiltered
and uncovered cost
2. Calculate summary stats
DATA STEP
1. Recreate Cost Build Up tables for unfiltered systems
FINAL OUTPUT:
Cost Variation Results, xls
-
Unfiltered
Cost_
CWS
i
-
Uncovered
Cost
CWS
LT2 Treatment Cost Model_PercentPlantsSelectTechs.xls
LT2 Treatment Cost Model Unfiltered Cost.xls
DATA STEP
1. Recreate Cost Build Up tables for uncovered systems
LT2 Treatment Cost Model Uncovered Reservoirs.xls
Economic Analysis for the LT2ESWTR
December 2005
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Exhibit Q.5: Flowchart of Model 2.sas
(Household Model)
Household linking exerciseUnlinked HHs from Linked Pcts.xls
CatPct
DATA STEP
1. Create table HH percentages changing
from one sys size to another.
DATA STEP
1. Combine no of affected HHs with percentages
changing sys size
2. Calculate HHs from one sys size to another
2. For unfiltered use same values for all occurences
3. Filtered have separate numbers for each occurence
DATA STEP
LT2 Implementation and Monitoring ModelTech Rep &
Benchmarking.xls
LT2 Treatment Cost Model Household Costs - Filtered.xls
LT2 Treatment Cost Model Household Costs - Unfiltered.xls
FINAL OUTPUT:
HH Distributions_Summary.xls
HH Distributions All Affected Households ICR High.xls
HH Distributions All Affected Households ICR Low.xls
Etc.
ImpMonitoringHHCostsICR
ImpMonitoringHHCostsICRSSL
ImpMonitoringHHCostsICRSSM
for mean, low and high
LT2 Implementation and Monitoring Model lmp &
Monitoring HH Costs.xls
LT2 Treatment Cost Model Household Costs Uncovered Res.xls
Affected Costs
Household Costs
T echBenchmarkings
ImpMonitoringHHCosts
coverCosts
Household Costs
DATA STEP
1. Read Tech and Bench costs for
CWS, A3, UV90-10
DATA STEP
1. Read Covers costs
2. Use same values for all occurrences
DATA STEP
1. Read Imp&Mon costs for CWS, A3, UV90-10
DATA STEP
1. Combine filtered/unfiltered HH cost
2. For filtered calculate 'derived' tech costs
3. Use same values for all occurences
DATA STEP
1. Combine HH, tech and bench costs
2. Calculate total costs for filt/unfilt systems
DATA STEP
MACRO Repeat
1. Combine Imp&Mon costs with Cover cost t
2. Create separate datarow for each combination
representing presence/absence of a category
(e.g. Crypto, noCrypto, Fcoli, noFColi, etc.)
MACRO CreateHouseholdDist
1. Create household distribution for all mean, high, low
combinations of ICR,SSL and SSM,Affected/Unaffected,
Small/All
2. Calculate summary stats
Economic Analysis for the LT2ESWTR
December 2005
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Exhibit Q.6: Flowchart of Model 3.sas (Small
Plant Model)
LT2 Treatment Cost Model_PercentPlantsSelectTechs.xls
LT2 Treatment Cost Model Unflltered Cost.xls
Binplantsbytechnology
unitcostcws
unitcostntncw s
unitcosttncw s
(from Model l.sas)
LT2 Treatment Cost ModelSmall Plant
Discount Rates.xls
LT2 Implementation and Monitoring ModelTech Rep &
Benchmarking.xls
FINAL OUTPUT:
Small Plants - Summary.xls
Small Plants - Results.xls
LT2 Implementation and Monitoring Model lmp &
Monitoring HH Costs.xls
LT2 Treatment Cost Model Household Costs Uncovered Res.xls
December 2005
Economic Analysis for the LT2ESWTR
Unflltered Cost
Cost
Cost
T echBenchmarkings
T echBenchmarkings
coverCosts
ImpMonltoringHHCosts
Filtered Cost
ImpMonltoringHHCostsICR
DATA STEP
1. Read Covers costs
2. Use same values for all occurences
DATA STEP
1. Read Imp&Mon costs for ICR.CWS, A3, UV90-10
DATA STEP
1. Read Tech and Bench costs for
CWS, A3, UV90-10
2. Use only small sys sizes VS1 -S3
DATA STEP
1. Combine tech,bench and filt/unfilt costs
DATA STEP
1. Combine filtered/unfiltered costs
DATA STEP
Apply discount rates to tech/bench cost
2. Use same values for NTNCWS, TNCWS
and Unflltered
DATA STEP
1. Create small plants distribution ICR
2. Calculate summary stats
DATA STEP
1. Combine number of plants by bin/technology with
unit costs obtained in zero iteration from Model! .sas
DATA STEP
MACRO Repeat
1. Combine Imp&Mon costs with Cover cost (
2. Create separate datarow for each combination
representing presence/absence of a category
(e.g. Crypto, noCrypto, Fcoli, noFColi, etc.)
DATA STEP
1. Combine public/private system/plant ratios for
~ unflltered with percent of plants falling in different bins
2. Calculate number of plants for each technology by bin
by sys size
Economic Analysis for the LT2ESWTR
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Exhibit Q.7: Flowchart of Summaryl.sas
Costs Variation Results.xls
Treatment Factors 3pct
Treatment Factros 7pct
Trat Uncert PV 3pct
Trat Uncert PV 7pct
Treat Uncert Ann 3pct
Trat Uncert Ann 7pct
Treat Uncert PV Agg 3pct
Treat Uncert PV Agg 7pct
Treat Uncert Ann Agg 3pct
Treat Uncert Ann Agg 7pct
Monitoring.xls
DATA STEP
1. Manipulate treatment schedule tables to produce LT2 Cost Result Output sheets
Treat Uncert NV Agg pet
Treat Uncert NVpct
MACRO Process
1. Produce treatment factors at different rates (3 and 7%)
2. Calculate PV and Annualized cost at different rates
3. Calculate aggregated PV and Annualized cost at different rates
Schedules LT2 Treatment Schedule.xls
DATA STEP
1. Manipulate treatment schedule tables to produce LT2 Cost Result Output sheets
Imp and Mon NV Agg pet
Imp and Mon NV pct
Imp and Mon 3pct
Imp and Mon 7pct
Imp and Mon PV 3pct
Imp and Mon PV 7pct
Imp and Mon Ann 3pct
Imp and Mon Ann 7pct
Imp and Mon PV Agg 3pct
Imp and Mon PV Agg 7pct
Imp and Mon Ann Agg 3pct
Imp and Mon Ann Agg 7pct
MACRO Process
1. Produce treatment factors at different rates (3 and 7%)
2. Calculate PV and Annualized cost at different rates
3. Calculate aggregated PV and Annualized cost at different rates
Schedules LT2 Treatment Schedule.xls
Economic Analysis for the LT2ESWTR
December 2005
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Appendix R
Sensitivity Analysis for AIDS-Related Mortality Rate
R.1 Introduction and Summary
A key input to the Long-Term 2 Enhanced Surface Water Treatment Rule (LT2ESWTR) risk
assessment model is the rate of mortality associated with cryptosporidiosis. This is discussed in section
5.2.3 (Dose Response Assessment). The mortality rate as used in this analysis is, given a case of
cryptosporidiosis, the probability of a fatality from that illness. As discussed in section 5.2.3, the risk
assessment model uses different mortality rates for those with AIDS and the general populations.
Cryptosporidiosis is considered nonfatal in healthy adults, so the mortality rate in the general,
non-AIDS, population represents deaths for those with other conditions or diseases that hinder recovery
from cryptosporidiosis. The mortality rate used for the general population is the mortality rate associated
with the 1993 Milwaukee Cryptosporidium outbreak for those without AIDS. This rate is used as an
estimate of the mortality rate for future cryptosporidiosis cases because no significant treatments that
would likely lessen mortality have been developed since 1993.
Data from the 1993 Milwaukee cryptosporidiosis outbreak are also used to develop the mortality
rate for people with AIDS. However, for those with AIDS, new treatments have become available since
the Milwaukee outbreak that greatly prolong life. As a result of the advent of highly active anti-retroviral
therapy (HAART) in 1995, the rate of death for those with AIDS from all causes has declined
dramatically. The Dose-Response Assessment includes a factor to reflect the apparent lessened mortality
among persons with AIDS. Data from the Centers for Disease Control and Prevention (CDC) for 1993
and 20011 suggest that, among those with AIDS, the death rate for all reasons in 2001 was only 18.4
percent of the rate in 1993, the year of the Milwaukee outbreak. To reflect the probable improved ability
of those with AIDS to survive cryptosporidiosis, the mortality rate for those with AIDS during the
Milwaukee outbreak was adjusted by this factor and applied to each year of the 25-year analysis without
change (that is, without allowing for further changes in mortality rates). This no-trend approach is
considered a reasonable best estimate, given the difficulty of predicting future trends in AIDS-related
mortality, including the lack of cryptosporidiosis-specific information.
This appendix presents the latest AIDS-related mortality data available from the CDC,
summarizes the history of AIDS-related mortality, provides information regarding the factors that may
affect future AIDS-related mortality. It also discusses the potential impact on the LT2ESWTR benefits
analysis results of using other mortality rates (arbitrarily bounded) to reflect at least some of the range of
possible values that could occur in future years. However, it does not discuss other related assumptions,
such as the constant ratio of persons living with AIDS to the general population used in the model and the
mortality rates for the general population.
The review of the confounding factors that influence the future mortality of those with AIDS
gave no definite direction of future change (that the rate will definitely increase or definitely decrease).
1 The 2001 estimate of deaths of persons with AIDS and the population of persons living with AIDS used in
this EA are from the 2002 HIV/AIDS Surveillance Report "Cases of HIV Infections and AIDS in the United States"
(Vol. 14).
Economic Analysis for the LT2ESWTR
R-l
December 2005
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The bounding analysis, presented below in section R.5, assessed the impact on LT2ESWTR benefits due
to the AIDS-related mortality rate either increasing or decreasing. This analysis was done by arbitrarily
doubling and halving the 2001 rate used in the economic analysis (EA) and, as in the EA analysis,
assuming a constant mortality rate over the period of the analysis.
The results of the bounding analysis indicate that using the ICR data set at a 3 percent discount
rate and an ECOI, either doubling or halving the AIDS-related mortality rate would result in mean total
benefits 52 percent higher or 28 percent lower (respectively), and imply no change in the conclusion of
the EA or selection of the Preferred Alternative. The result of using the ICRSSL data set at a 7 percent
discount rate and a TCOI would result in benefits 74 percent higher or 39 percent lower (respectively). In
this case, the Preferred Alternative runs a close second to Alternative 2 (if the AIDS mortality rate is
doubled) or Alternative 4 (if the rate is halved). In summary, given the likelihood that increases in the
AIDS mortality rate are at least as likely as decreases, and that unquantified benefits exist, the conclusions
of the EA and the selection of the Preferred Alternative are not challenged.
R.2 Latest CDC Data and Their Impact on the AIDS Mortality Adjustment Factor
The adjustment factor for AIDS-related mortality used in the dose response assessment is
computed from both death and population data. The AIDS-related mortality data currently available
include estimates from both 2001 and 2002. Although CDC has tried to adjust the initial 2002 estimate
for potential delays in reporting, CDC has commonly revised estimates higher in subsequent years (for
example, revised data for 1999 increased by 50 percent). Second, the 2001 data more closely match the
2000 Census data used in the mortality rate calculations. The EA uses 2001 data on the number of AIDS
deaths as cited in CDC's 2002 HIV/AIDS Surveillance Report "Cases of HIV Infections and AIDS in the
United States". Using the CDC's estimate for 2002 would reduce the AIDS-related mortality rate by 2.2
percent but would not have changed the conclusions of the EA or the selection of the Preferred
Alternative.
Exhibit R.1: Mortality Rate Factors Using Latest CDC Data
1991
2001
2002
AIDS Deaths
45,733
17,402
16,371
Persons Living with
AIDS
173,772
359,141
384,906
Mortality Rate (per
100,000)
26,318
4,845
4,253
Mortality Rate as a
Percent of 1993
18.4%
16.2%
Source: CDC's Cases of HIV Infections and AIDS in the United States.
2001 and 2002: HIV/AIDS Surveillance Report, Vol. 14
1991: From 2001 end-of-year HIV/AIDS Surveillance Report, Vol. 13, No. 2
Economic Analysis for the LT2ESWTR
R-2
December 2005
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R.3 History of AIDS-Related Mortality Rates
Over roughly the past decade, the AIDS-related mortality rate has been declining. This decline
has resulted from both a decrease in the number of AIDS-related deaths and an increase in the number of
people living with AIDS. However, the decline in AIDS-related deaths has slowed in recent years.
Decline in AIDS-Related Deaths Due to Use of HAART
Data show that AIDS-related deaths declined as people with AIDS began using HAART, which
became available in 1995 and appears to be successful in significantly prolonging the lives of persons
with AIDS. Since the introduction of HAART, treatment has become available to almost all people in the
United States with known cases of AIDS (Boyle 2002). The result, at least in the short term, is a
reduction in the numbers of deaths of persons with AIDS (Exhibit R.2). With the availability of the
treatment now nearly universal in the United States, the reduction in the number of deaths is slowing after
the steep declines seen in 1996 and the first half of 1997. This observation derives from Karon et al.
(2001), who adjusted their data for delayed reporting and characterized the quarterly mortality rate during
1998 and 1999 as "approximately constant." (Their study did not include 2000-2002 data.)
Economic Analysis for the LT2ESWTR
R-3
December 2005
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Exhibit R.2: Incidence and Deaths Among Adults and Adolescents in the United
States with AIDS, 1985-2001
R.2. Incidence and deaths among adults and
adolescents with AIDS from 1985-2001 in the U.S.
(/>
.c
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a)
a
(/>
a)
(/>
ns
O
a)
n
E
3
90,000
80,000
70,000
60,000
50,000
40,000
30,000
20,000
10,000
0
lo co r—
oo oo oo
O) O) O)
oo
oo
CD
CD
00
CD
o
CD
CD
v- C\J
CD CD
CD CD
CO
CD
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CD
LO CO
CD CD
CD CD
CD
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00
CD
CD
CD
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O v-
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C\J C\J
Years of Diagnosis or Death
Source: CDC HIV/AIDS Surveillance Report 2001 (Vol. 13, No. 2, Table 21)
The initial estimates for 2002 appear to show a continued slight decline. However, in previous
reports from the CDC (HIV/AIDS Surveillance Reports), early results have been revised upward in later
reports as additional data became available. Whether the number of deaths has continued its slight
decline or leveled off cannot be determined reliably from the available data.
Declining New AIDS Cases; Increases in Number of People living With AIDS
In addition to the decline in AIDS-related deaths, new cases of AIDS also declined because of
HIV treatments; but more people are living with AIDS. Exhibit R.2 shows the trend in new cases
(incidence) of AIDS being reported. The number of new cases is most directly affected by the
effectiveness of treatments, including HAART, that prevent the shift from HIV infection to clinical cases
of AIDS. Those declines have also leveled off and there appears to be only a 2-3 percent decline from
1998 to 1999. CDC characterizes the trend in the number of new AIDS cases as appearing "to be
leveling" (http://www.cdc.gov/nchstp/od/news/At-a-Glance.pdf) and Karon et al. (2001) described it as
"relatively constant."
The population of persons living with AIDS has continued to grow as new cases are identified
and fewer people die from the disease and its complications. The annual increase from 2000 to 2001 was
7 percent and the total number of persons living with AIDS is estimated at 359,316 in 2001 (CDC, 2002).
Economic Analysis for the LT2ESWTR
R-4
December 2005
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Overall Effect on AIDS Mortality Rates
Data show that the overall AIDS mortality rate continues to decline, but that the decline has
slowed (Exhibit R.3). The mortality rates used in the EA benefits model are computed from both death
and population data. Because the underlying data on deaths have been revised in the end-of-year
Surveillance Reports, the mortality rates based on these data are also shown. However, because the 2002
estimate will likely be revised in subsequent years, the apparent drop in AIDS mortality from 2001 to
2002 may be less indicative of the historical trend than the differences between the revised data for 2000
and 2001.
Exhibit R.3: AIDS-Related Death Rates, 1993 to 2001
Death Data 2001
Death Data 2000
Death Data 1999
Source: Derived from CDC end-of-year HIV/AIDS Surveillance Reports for 1999-2001 (data on deaths), and the
supplement to the 1999 report (data on persons living with AIDS).
Economic Analysis for the LT2ESWTR
R-5
December 2005
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R.4 Factors Affecting Mortality in the Future
Statistical Shift Over Time
Several factors affect the mortality rate of persons with AIDS. One (identified earlier) is that life-
prolonging treatments are widely available and used. However, the rapid decline in mortality rates that
accompanied their introduction may be temporary. HAART is not considered a cure for AIDS. If the
only effect is increased longevity, but with a similar pattern of eventual disease, those who are now less
susceptible would become susceptible again in the future. In such a case, the mortality rate could
conceivably climb to near historical levels. The reason it would be unlikely to fully reach historical levels
is that the longer the increased longevity, the more likely it is that deaths would occur for reasons other
than AIDS. This reasoning suggests that, with all other influences equal (which they are not), the
mortality rate would lessen for a period roughly corresponding to increased longevity, then increase to
some new level. Many other factors are also important, however.
Drug Resistance
History supports a view that infectious disease mortality initially drops considerably upon the
introduction of successful treatment, but after a lag the mortality rate stabilizes or slightly increases as
drug resistance and other factors counteract the benefit of treatment. The treatment of tuberculosis (TB)
after World War II with streptomycin had immediate success, but within a few months drug resistance
began to show. Physicians were able to develop additional antibiotics, and TB was treated using a
multiple drug regimen (NJMS 1996). The mortality rate for tuberculosis in industrialized countries had
been declining slowly until the mid-1980s, when the mortality rate stabilized and more recently has
increased slightly (NJMS 1996). Some similar patterns are beginning to be identified with AIDS.
Drug resistance to AIDS therapies is, in fact, increasing. If a patient develops a drug-resistant
strain of HIV, treatment becomes difficult. If new regimens cannot be developed for this individual, the
disease will proceed as it did prior to treatment, and result in AIDS-related death. Forty-nine percent of
individuals with HIV have drug-resistant strains (Brown 2001). Among those HIV individuals who have
not started treatment, 20 percent have a strain resistant to at least one drug, an increase from 3 to 5 percent
of new cases several years ago (Brown 2001). Because the therapies for HIV and AIDS are essentially
the same, this suggests that those who progress from HIV to AIDS are increasingly likely to have drug-
resistant strains. As the proportion of persons with drug-resistant strains increases within the population
of those living with AIDS, this would be an upward influence on the AIDS mortality rate.
Side Effects Leading to Cessation of Treatment
Another factor that may affect mortality is the cessation of therapy due to intolerable side effects.
Over time, the side effects from drug therapy (such as diarrhea, peripheral neuropathy, severe rash,
jaundice, pancreatitis, kidney stones, and others) become too painful or uncomfortable for many people to
bear (Highleyman 2000, NYSDHAI 2002, Griffiths 2002). The number of patients that will drop
treatment in the coming years due to side effects is therefore likely to increase (NYSDHAI 2002).
Studies show that relapse is rapid after cessation of therapy; among those tested who had no detectable
virus in their system, the time to relapse to pre-treatment levels of virus in the blood ranged from 4 to 31
days, with most relapsing within 2 to 3 weeks after ceasing therapy (Marble 2000, Medscape 2002).
Even for those patients who had been treated for over 2 years, relapse occurred promptly after cessation
of therapy (Medscape 2002). If a treatment regimen cannot be developed that reduces side effects to
Economic Analysis for the LT2ESWTR
R-6
December 2005
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tolerable levels, some patients will likely quit treatment, and their mortality rate from various sources,
including cryptosporidiosis, would increase. Over time, as more people with AIDS develop these
intolerable side effects and cease treatment, the overall AIDS mortality rate would also increase.
Mortality from Side Effects
The previous factors that may affect mortality would increase the mortality rate, and are assumed
to have a parallel effect on deaths from cryptosporidiosis in persons with AIDS. There is one factor,
however, that may increase mortality among persons with AIDS, but not the mortality from
cryptosporidiosis. Among the side effects of HAART are fat redistribution, elevated triglycerides, and
potential insulin resistance (Louie et al. 2002, Highleyman 2000). These side effects may increase
cardiovascular morbidity, and thus the mortality rate among AIDS patients may rise in the future even
with successful therapy. However, mortality from non-AIDS or immunological difficulties would not be
considered relevant to a mortality rate due to infection by Cryptosporidium.
New Therapies
New therapies for persons with AIDS may be developed sometime before 2029 (the extent of the
period of analysis in this EA). Therapies that extend life would create a new statistical time shift similar
to that which occurred in 1996 and 1997, as described at the beginning of R.4. These therapies could be
more effective than current ones against drug-resistant strains, could be more easily tolerated, or could
provide benefits longer than current therapies. Extensive research is being conducted on HIV vaccines
and therapies, which include integrase inhibitors, fusion inhibitors, gene therapies, and pseudovirion and
other vaccines. The likelihood of new therapies being developed and the possible time line for their use is
difficult to foresee.
R.5 Sensitivity Analysis
This section presents the impact of using alternative estimates for the AIDS mortality adjustment
factor. This is a generic sensitivity analysis that examines the impact on the benefits estimates of using
factors above and below the estimates used in the EA analysis. The changes in AIDS mortality rates do
not produce a one-to-one change in estimates in benefits because other factors (such as the populations
served by filtered and unfiltered systems, the mortality rate for the general population, income growth and
income elasticity, and the cost of illness) also contribute to the estimate of benefits.
The discussion in section R.4 of the factors that may affect AIDS-related mortality in the future
does not lead to a single conclusion. It suggests that there exist factors that could easily raise the
mortality rate substantially higher than the rates seen in 2001 and projected for 2002, but new treatment
breakthroughs could substantially lower the rate in future years. Benefits from the LT2ESWTR are
projected to begin in 2009 and the analysis makes projections through 2029. Considering the length of
the period of analysis and the lack of projections available regarding mortality rates, this section uses both
higher and lower values to assess the possible impact of alternative AIDS mortality rates.
Whatever does happen to these rates in the future, it is unlikely that they will remain constant
from 2001 through 2029. For the purposes of this analysis, however, two stable "no-trend" values are
used. The first is double the rate used in the EA; the second is half of that used in the EA. These
differences have impacts on the estimate of total benefits (Exhibit R.4).
Economic Analysis for the LT2ESWTR
R-7
December 2005
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Exhibit R.4: Percent Change in Estimated Total Benefits Using Double and Half
the AIDS-Related Mortality Rate
Percent Change in Annual Value of Total Benefits
Lower
Confidence
Bound
Mean
Upper
Confidence
Bound
Using Double the AIDS-Related Mortality Rate-
ICR 3% ECOI
+35%
+52%
+61%
Using Double the AIDS-Related Mortality Rate-
ICRSSL 7% TCOI
+57%
+74%
+78%
Using Half the AIDS-Related Mortality Rate-
ICR 3% ECOI
-21%
-28%
-30%
Using Half the AIDS-Related Mortality Rate-
ICRSSL 7% TCOI
-30%
-39%
-40%
Source: Risk Assessment Model.
Note: The ICR 3% ECOI and ICRSSL 7% TCOI span the range of possible values.
These impacts on the level of total benefits are, however, not significant enough to reverse the
general conclusion of benefits exceeding costs. Benefits so greatly exceed costs-by factors of 3 to 15
fold (Exhibit 8.20)-that benefit estimates 39 percent lower (mean, half the AIDS mortality value,
ICRSSL, 7 percent, TCOI) would not alter that conclusion.
Further, these larger differences do not significantly change the relative rankings of the
alternatives or the choice of the Preferred Alternative. Again, comparing the results of Exhibit R.4 to
those in Exhibits P. 12 and P. 13 is helpful. A 52 percent increase or a 28 percent decrease in benefits
(mean, ICR, 3 percent, ECOI) holds steady the Preferred Alternative's status as the alternative with the
highest net benefits. Using the ICRSSL data set at 7 percent discount rate and a TCOI, however, the
Preferred Alternative goes from being top ranked to a close second to Alternative A2 (at double the AIDS
mortality value) or to Alternative A4 (at half the AIDS mortality value). In summary, given that
increases in the AIDS mortality rate are deemed as likely as decreases, the conclusions of the EA and
the selection of the Preferred Alternative are not challenged.
In conclusion, the projection of AIDS-related mortality rate is uncertain. If the factors identified
as exerting an upward influence on the AIDS-related mortality rate continue, the decline observed in this
rate over the past several years will soon bottom out, and AIDS-related mortality will begin to increase.
Less certain is the possibility or timing of new therapies that could lessen the threat from this disease, but
substantial resources are devoted to this outcome. Mortality rates ranging from above to somewhat below
current estimates do not contradict the selection of the Preferred Alternative. Mortality rates that are
substantially lower would support careful consideration of other alternatives and perhaps more careful
enumeration of other benefits not now quantified.
Economic Analysis for the LT2ESWTR
R-8
December 2005
-------
Appendix S
Analysis of Individual Risk by Initial Bin
S.l Introduction
Under each regulatory alternative, systems are assigned an initial "bin" based on source water
monitoring. This appendix groups population based on these bins and analyzes the distribution of
individual risk for each of these bins. The conclusions are presented in two ways:
Tabular information on the percent of the population that face annual risks of illness within
selected ranges (Exhibit S.l). Additional tables show the data in several different forms
(Exhibits S.2 through S.4).
Cumulative distribution graphs that show the distribution of individual risk based on Pre-
LT2ESWTR conditions, the distribution based on the minimal compliance with the
LT2ESWTR, and based on the projected actual compliance with the rule (Exhibits S.5
through S.12). These graphs are similar to Exhibit 5.12, where the full distributions of risks
are presented. The graphs in this appendix give additional insight as to the distribution of
risks within each bin before and after the rule.
The remainder of the appendix includes the following additional documentation:
A discussion and graph of the relationship among Modeled True, Measured, and Binning
concentrations of Cryptosporidium that is useful for understanding the derivation of the tables
and graphs in this appendix.
A discussion of the steps involved in computing the data for this appendix, with
accompanying graphs that show the step-by-step process for a sample data set and regulatory
alternative. This and the previous sections also serve as a good illustrations of how rule
alternatives reduce risk.
Key assumptions in the analysis are the following:
Only community water systems (CWS) that filter water are considered in this analysis.
The "bins" used in this analysis are those in which systems are initially classified. An initial
bin contains all those systems whose source water places them in a bin. This includes those
who are able to receive credits to reflect their current treatment in place and, therefore, lower
requirements for additional treatment. For example, systems in the 1-log bin have to install
treatment of 0.0, 0.5, or 1.0 log. It also includes systems who are projected to install
treatment, but who would choose treatments that achieve greater than that required by their
bin requirement.
Variability from drinking water ingestion is not included.
Data are based on means and thus excludes uncertainty.
Economic Analysis for the LT2ESWTR
S-l
December 2005
-------
S.2 Percent of Population Within Selected Ranges of Annual Individual Risk
Exhibits S. 1 through S.4 show the percent of populations facing risk levels in different forms, all
based on initial bin classifications and are of CWS only. Although the underlying data are the same, they
are presented in different formats to help easily answer question of different forms.
Exhibit S. 1 shows the percent of populations facing annual individual risk within exclusive
selected ranges. It divides the total population into five levels of risk and shows the percent
of the population within each level. This table uses global percentages and, therefore, data
add both across and up to totals. This table is useful to answer questions about the proportion
of the total population, such as, "What portion of the population in "no action" bins are
estimated to have risks between 10"3or and 10'4?" and "What percent of the population is in
the 1.0 log bin for alternative A4?"
Exhibit S.2 shows the percent of the total population facing risks at and above four
levels—from 10"5or greater to 10"2 or greater annual risk of illness. These are cumulative of
the numbers in Exhibit S.l and are still in the form of global percentages. The individual cell
data can be summed up to column totals, but columns are to be compared, not summed. This
table is useful to answer questions that focus on individual risk levels that might be of
interest, and to identify what percent of the population face risks greater than that level, such
as, "What portion of the total population in "no action" bins are estimated to have risks above
10-3?"
Exhibit S.3 uses the data in Exhibit S.2, but expresses individual cell data as a percentage of
the total in its column. These local percentages add vertically. This table is useful to answer
questions about the percent composition of alternatives , such as, "What portion of the
population under alternative A3 facing risks of 10"3 or greater are in the 'no action' bin?" (For
example, Exhibit S.2 tells us that 2.04 percent of the total population are in this group, and
Exhibit S.2 tells us that they represent 71.84 percent of all those facing risks of 10~3 or
greater.)
Exhibit S.4 shows the percentage of the population within a bin that exceed a specified risk
level. The data derive from Exhibit S.2 (the percent of all those who are in that bin exceeding
a risk level) divided by the percentage of the total population in that bin (the first three
columns). The first three columns add to 100 percent, but the other data are to be read
individually and do not sum in any direction. This table is useful to answer questions such
as, "What portion of the population in "no action" bins are estimated to have annual
individual risks above 10~3?"
Economic Analysis for the LT2ESWTR
S-2
December 2005
-------
Exhibit S.1: Percent of Total Population Within Levels of Individual Annual Risk of Illness for Filtered Systems,
by Data Set, by Risk Level, by Alternative, by Initial Bin
Initial Bin
ICR
1.00E-05 or Lower
1.00E-05 to 1.00E-04
1.00E-04 to 1.00E-03
1.00E-03 to 1.00E-02
1.00E-02 or greater
Total
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
Total
93.86%
47.19%
42.10%
26.34%
5.14%
33.06%
32.88%
32.77%
0.91%
18.41%
21.73%
30.19%
0.09%
1.35%
3.26%
10.13%
0.00%
0.00%
0.04%
0.58%
100.00%
100.00%
100.00%
100.00%
0.0 log
18.94%
19.72%
19.82%
21.11%
26.24%
27.36%
0.58%
2.14%
3.05%
0.00%
0.01%
0.03%
49.85%
64.64%
69.32%
0.5 log
4.57%
3.81%
3.45%
0.67%
5.93%
0.24%
19.47%
23.41%
1.0 log
18 56%
2.71%
3.94%
1.96%
1.06%
1.15%
0.31%
28.09%
7.27%
1.5 log
19.78%
23.41%
2.0 log
93.86%
5.14%
1.34%
0.09%
0.01%
100.00%
4 v:,
2.5 log
1.36%
0.04%
7.27%
2.90%
Initial Bin
ICRSSL
1.00E-05 or Lower
1.00E-05 to 1.00E-04
1.00E-04 to 1.00E-03
1.00E-03 to 1.00E-02
1.00E-02 or greater
Total
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
Total
97.25%
25.34%
21.07%
9.59%
2.61%
33.10%
32.26%
32.64%
0.13%
36.50%
38.66%
44.78%
0.00%
5.05%
7.93%
12.75%
0.00%
0.01%
0.07%
0.23%
100.00%
100.00%
100.00%
100.00%
0.0 log
6.86%
29.42%
30.43%
22.71%
38.06%
2.87%
0.01%
0.11 %
84.38%
0.5 log
2.48%
2.10%
13.15%
6.65%
2.14%
0.12%
15.12%
1.0 log
13.89%
0.25%
2.71%
0.12%
0.08%
0.01%
0.01%
0.50%
1.5 log
'2.89%
0.04%
15.12%
2.0 log
97.25%
0.33%
2.61%
0.11 %
0.13%
0.02%
0.00%
100.00%
0.46%
2.5 log
0.36%
0.03%
0.13%
0.02%
0.01%
0.00%
0.00":.
Initial Bin
ICRSSM
1.00E-05 or Lower
1.00E-05 to 1.00E-04
1.00E-04 to 1.00E-03
1.00E-03 to 1.00E-02
1.00E-02 or greater
Total
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
Total
95.60%
30.98%
26.27%
13.10%
4.01%
32.64%
32.00%
31.55%
0.38%
31.64%
33.87%
40.31%
0.01%
4.72%
7.76%
14.48%
0.00%
0.01%
0.10%
0.56%
100.00%
100.00%
100.00%
100.00%
0.0 log
9.43%
.13.35%
27.91°
28.73%
19.09%
29.51%
32.23%
6.46%
8.22%
0.01%
0.14%
73.34%
5%
0.5 log
3.00%
'3.18%
2.35%
11.48%
7.86%
6.01%
0.01%
0.37%
24.90%
19.58%
1.0 log
15.96%
0.67%
3.45%
0.46%
4.26%
0.22%
1.30%
0.26%
0.06%
24.99%
1.67%
1.5 log
16.02%
2.47%
0.11%
19.58%
2.0 log
4.01%
0.48%
0.38%
0.01%
0.01%
0.00%
1.36%
2.5 log
0.94%
0.12%
0.64%
0.15%
1.67%
0.31%
Economic Analysis for the LT2ESWTR
S-3
December 2005
-------
Exhibit S.2: Percent of Total Population Exceeding Levels of Individual Annual
Risk for Filtered Systems, by Data Set, by Risk Level, by Alternative, by Initial Bin
Initial Bin
ICR
1.00E-05 or greater
1.00E-04 or greater
1.00E-03 or greater
1.00E-02 or greater
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
Total
6.15%
52.82%
57.90%
73.66%
1.00%
19.76%
25.02%
40.90%
0.09%
1.35%
3.30%
10.70%
0.00%
0.00%
0.04%
0.58%
0.0 log
49.50%
18.69%
22.14%
0.58%
9 1
3 07%
0.00%
0.01%
0.03%
0.5 log
19.60%
16.16%
' ¦ 1 . %
0.24%
1.0 log
4.56%
1.46%
0.03%
0.31%
1.5 log
2.0 log
1.00%
0.09%
0.00%
0.00%
2.5 log
J.uu ,u
0.04%
0.00%
0.00%
Initial Bin
ICRSSL
1.00E-05 or greater
1.00E-04 or greater
1.00E-03 or greater
1.00E-02 or greater
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
Total
2.75%
74.66%
78.93%
90.41%
0.13%
41.56%
46.67%
57.77%
0.00%
5.06%
8.01%
12.99%
0.00%
0.01%
0.07%
0.23%
0.0 log
7 /\52%
42.39%
47.09%
9.04%
0.06%
0.11%
0.5 log
10.54%
2.14%
3.89%
0.12%
1.0 log
4.27%
0.14%
0.06%
0.01%
0.01%
1.5 log
0.04%
2.0 log
0.00%
0.0
2.5 log
0.15%
0.00%
0.00%
ICRSSM
Initial Bin
1.00E-05 or greater
1.00E-04 or greater
1.00E-03 or greater
1.00E-02 or greater
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
Total
4.40%
69.02%
73.73%
86.90%
0.39%
36.38%
41.73%
55.36%
0.01%
4.74%
7.86%
15.05%
0.00%
0.01%
0.10%
0.56%
0.0 log
.1.47%
36,03"..
40.59%
8.35%
0.07%
0.14%
0.5 log
13.73%
14.24%
6.38%
0.37%
1.0 log
5.58%
0.53%
0.31%
0.03%
0.06%
1.5 log
1.10%
2.0 log
0.00%
2.5 log
0.09%
0.00%
Economic Analysis for the LT2ESWTR
S-4
December 2005
-------
Exhibit S.3: Initial Bin Distribution of Population Within an Alternative for Filtered
Systems, by Data Set, by Risk Level
Initial Bin
ICR
1.00E-05 or greater
1.00E-04 or greater
1.00E-03 or greater
1.00E-02 or greater
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
A1
FQ.
A3
A4
Total
100.00%
100.00%
100.00%
100.00%
100.00%
100.00%
100.00%
100.00%
100.00%
100.00%
100.00%
100.00%
100.00%
-
100.00%
100.00%
0.0 log
58.53%
77.58%
67.20%
49.65%
74.68%
54.15%
42.77%
65.42%
28.71%
-
33.33%
4.33%
0.5 log
28.20%
26.61%
41.61%
39.50%
49.44%
57.67%
-
42.29%
1.0 log
16.46%
6.19%
22.34%
6.35%
33.00%
13.62%
66.67%
53.38%
1.5 log
6.87%
5.40%
4.89%
-
2.0 log
100.00%
2.66%
100.00%
0.80%
100.00%
0.21%
100.00%
0.00%
2.5 log
6.40%
3.29%
3.34%
2.18%
2.89%
1.36%
-
0.00%
Initial Bin
ICRSSL
1.00E-05 or greater
1.00E-04 or greater
1.00E-03 or greater
1.00E-02 or greater
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
Total
100.00%
100.00%
100.00%
100.00%
100.00%
100.00%
100.00%
100.00%
100.00%
100.00%
100.00%
100.00%
-
100.00%
100.00%
100.00%
0.0 log
66.10%
90.97%
85.74%
61.56%
90.83%
81.53%
56.82%
91.32%
69.57%
62.50%
87.67%
46.98%
0.5 log
30.72%
13.97%
36.79%
18.24%
42.37%
29.96%
25.00%
49.57%
1.0 log
8.84%
0.28%
9.14%
0.24%
8.68%
0.46%
12.33%
3.45%
1.5 log
2.99%
1.62%
0.81%
12.50%
2.0 log
100.00%
0.16%
100.00%
0.03%
100.00%
0.00%
-
0.00%
2.5 log
0.19%
0.03%
0.03%
0.00%
0.00%
0.00%
0.00%
0.00%
Initial Bin
ICRSSM
1.00E-05 or greater
1.00E-04 or greater
1.00E-03 or greater
1.00E-02 or greater
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
Total
100.00%
100.00%
100.00%
100.00%
100.00%
100.00%
100.00%
100.00%
100.00%
100.00%
100.00%
100.00%
-
100.00%
100.00%
100.00%
0.0 log
64.95%
86.73%
79.77%
59.02%
86.35%
73.32%
50.21%
83.03%
55.51%
64.29%
67.35%
24.11%
0.5 log
28.83%
19.09%
37.73%
25.72%
47.51%
42.40%
35.71%
65.78%
1.0 log
12.26%
1.14%
13.38%
0.96%
16.90%
2.09%
32.65%
10.11%
1.5 log
5.16%
3.01%
2.26%
0.00%
2.0 log
100.00%
0.76%
100.00%
0.19%
100.00%
0.08%
-
0.00%
2.5 log
1.06%
0.25%
0.24%
0.08%
0.02%
0.00%
0.00%
0.00%
Economic Analysis for the LT2ESWTR
S-5
December 2005
-------
Exhibit S.4: Percent of Population Within a Bin Exceeding Levels of Individual Annual Risk for Filtered Systems,
by Data Set, by Risk Level, by Alternative, by Initial Bin
Initial Bin
ICR
Bin Percent of Total Papulation
Percent of Bin Papulation Exceeding Risk Level
1.00E-05 or greater
1.00E-04 or greater
1.00E-03 or greater
1.00E-02 or greater
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
Total
100.00%
100.00%
100.00%
100.00%
0.0 log
49.85%
64.64%
69.32%
62.01%
69.50%
71.41%
19.68%
28.91%
31.94%
1.16%
3.34%
4.43%
0.00%
0.02%
0.04%
0.5 log
19.47%
23.41%
76.51%
83.74%
42.22%
69.01%
3.43%
26.37%
0.00%
1.04%
1.0 log
28.09%
7.27%
33.93%
62.68%
19.90%
35.71%
3.87%
20.06%
0.09%
4.24%
1.5 log
23.41%
15.49%
4.55%
0.28%
0.00%
2.0 log
100.00%
4.37%
6.15%
35 28%
1.00%
4.60%
0.09%
0.16%
0.00%
0.00%
2.5 log
7.27%
2.90%
46.47%
65.80%
9.08%
18.81%
0.54%
1.55%
0.00%
0.00%
Initial Bin
ICRSSL
Bin Percent of Total Papulation
Percent of Bin Papulation Exceeding Risk Level
1.00E-05 or greater
1.00E-04 or greater
1.00E-03 or greater
1.00E-02 or greater
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
Total
100.00%
100.00%
100.00%
100.00%
0.0 log
55.72%
78.63%
84.38%
88.57%
91.32%
91.87%
45.91%
53.91%
55.81%
5.16%
9.30%
10.71%
0.01%
0.08%
0.13%
0.5 log
28.67%
15.12%
80.00%
83.57%
53.34%
69.70%
7.48%
25.74%
0.01%
0.76%
1.0 log
20.87%
0.50%
33.44%
50.79%
20.44%
26.98%
3.33%
11.90%
0.04%
1.59%
1.5 log
15.12%
14.76%
4.47%
0.277o
0.01%
2.0 log
100.00%
0.46%
2.75%
27.47%
0.13%
3.30%
0.00%
0.00%
0.00%
0.00%
2.5 log
0.50%
0.05%
28.77%
48.98%
2.38%
0.00%
0.00%
0.00%
0.00%
0.00%
Initial Bin
ICRSSM
Bin Percent of Total Papulation
Percent of Bin Papulation Exceeding Risk Level
1.00E-05 or greater
1.00E-04 or greater
1.00E-03 or greater
1.00E-02 or greater
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
A1
A2
A3
A4
Total
100.00%
100.00%
100.00%
100.00%
0.0 log
53.85%
73.34%
78.75%
83.24%
87.19%
88.03%
39.87%
49.13%
51.54%
4.42%
8.90%
10.61%
0.02%
0.09%
0.17%
0.5 log
24.90%
19.58%
79.92%
84.70%
55.12%
72.71%
9.04%
32.58%
0.02%
1.89%
1.0 log
24.99%
1.67%
36.16%
59.62%
22.34%
31.88%
5.31%
18.81%
0.13%
3.42%
1.5 log
19.58%
18.19%
5.60%
: =
LO
LO
O
0.00%
2.0 log
100.00%
1.36%
4.40%
41.25%
0.39%
5.74%
0.01%
0.44%
0.00%
0.00%
2.5 log
1.67%
0.31%
43.68%
60.84%
5.21%
11.00%
0.06%
0.00%
0.00%
0.00%
Economic Analysis for the LT2ESWTR
S-6
December 2005
-------
S.3 Graphs of the Cumulative Distribution of Annual Individual Risk by Bin
The graphs of the distributions of individual risk for people served by all filtered systems are
shown in the Economic Analysis in Exhibit 5.12. The graphs below are analogous, but only include CWS
systems. The axes have been switched so that the cumulative percent is shown on the X axis and the
variability from drinking water ingestion has been removed. There are separate charts for each rule
alternative and each of two data sets, the ICR and ICRSSL (twelve graphs in all, Exhibits S.5 through
S. 16). On each graph, vertical dashed lines separate the initial bins. Within each bin, the following three
distributions are shown:
• the distribution of risk based on finished water occurrence, Pre-LT2 (after considering treatment
in place and the effects of credits)
• the distribution of risk based on the treatment required by that rule alternative and that bin (again
taking into account the credits earned by some systems)
• the distribution of risk actually achieved, reflecting that many systems are expected to achieve
more treatment than the minimum required
Note that within a bin, each distribution is sorted independently, and therefore, a particular
system may appear at different points in each of the distributions. Also note that the distributions based
on finished water occurrence overlap, that is, some individuals in a lower bin have a higher risk than some
in higher bins. This is due to misclassification of systems during the sampling process and to the
differences in treatment in place between systems.
The differences between the alternatives can be seen at particular risk levels. For example, from
Exhibit S.2, we see that at a risk of lxlO"4 risk level (that is, a 1 in 1,000 chance of becoming ill in a
year), Alternative A3 leaves 25.02 percent of the total population at or above this risk overall (ICR data).
Exhibit S.2 also shows that of those 25.02 percent exposed to the lxlO"4 risk level, 18.69 percent are in
the No Action bin and 5.59 percent are in the 1 log bin. Exhibit S.7 shows the distribution of that 25.02,
18.69, and 5.59 percent. It is the portion of the distributions above the 10-"4 line. Interestingly, there are
not significantly higher spikes in higher bins because of the additional treatment used under Alternative
A3. (Note that adding in the variability from drinking water ingestion would slightly heighten any spikes,
reflecting those that drink more than the average amount of water.)
For another example, Exhibit S.8 and Exhibit S.2 show that for Alternative A4, 40.9 percent of
the population is over a lxlO"4 risk level and is mostly in the No Action (22 percent of the population) and
0.5 log bins (16 percent). Over 16 percent of the population faces risks of lxl0"4or greater and is in the
0.5 log bin. A significant spike also exists in the 1 log bin. At the higher level of lxlO"2 risk level (that
is, a 1 in 100 annual chance of becoming ill), Alternative A3 has almost no population above this level,
but Alternative A4 has about 0.6 percent facing these risks.
Using the ICRSSL rather than the ICR data set, the percentages of population above a selected
risk level is generally higher at individual risk levels of lxlO"4 and lxlO"3 (probably because fewer
systems provide additional treatment) and about the same at lxl0"2. Only at very high risk levels (such as
lxlO"1) do fewer people face these risks (probably because of the lower estimated occurrence) than
estimated under the ICR data set.
Economic Analysis for the LT2ESWTR
S-7
December 2005
-------
Exhibit S.5
w
w
0
c
o
J*.
w
a:
ro
¦g
>
c
1 n
0.1 -
0.01 -
10A-3
10A-4
i 10A-5
TO
3
C
c
<
10A-6 -
10A-7 -
10A-8 -1
Annual Individual Risk by Bin
ICR CWS Option A1
Pre-LT2 Risk
Post-LT2 Risk - As-Required
Post-LT2 Risk - As-Achieved
h
/
/
y
T
o
_l
C\l
T
T
10%
20%
30%
40% 50% 60%
Cumulative Percent
70%
80%
90%
Economic Analysis for the LT2ESWTR
S-8
December 2005
-------
Exhibit S.6
Annual Individual Risk by Bin
ICR CWS Option A2
w
w
0
c
w
ir
¦g
>
C
1 n
0.1
0.01 -
10A-3 -
10A-4 -
± 10A-5
ro
C
C
<
10A-6
10A-7 -
10A-8 -1
— Pre-LT2 Risk
Post-LT2 Risk - As-Required
Post-LT2 Risk - As-Achieved
'
/ /'
f
t
s
:/
i
i
e *
O)
o
_l
t
t
t
O)
o
_i
d
*
t
1
r
f
)
/
/
10%
20%
30%
40%
50%
60%
70%
80%
90%
Cumulative Percent
Economic Analysis for the LT2ESWTR
S-9
December 2005
-------
Exhibit S.7
1 -i
0.1
$ 0.01
c
10A-3 -
§ 10a.4
T3
10A-5 -
10A-6
10A-7 -
10A-8 -1
10%
20%
Annual Individual Risk by Bin
ICR CWS Option A3
Pre-LT2 Risk
Post-LT2 Risk - As-Required
Post-LT2 Risk - As-Achieved
T
T
T
30%
40% 50% 60%
Cumulative Percent
70%
80%
90%
Economic Analysis for the LT2ESWTR
S-10
December 2005
-------
Exhibit S.8
to
to
0
c
1 n
0.1
0.01 -
10A-3-
10A-4
to
ir
ro
¦g
10A-5
CO
c
< 10A-6
10A-7 —
10A-8
Annual Individual Risk by Bin
ICR CWS Option A4
Pre-LT2 Risk
Post-LT2 Risk - As-Required
Post-LT2 Risk - As-Achieved
T
T
T
10%
20%
30%
40% 50% 60%
Cumulative Percent
70%
80%
90%
Economic Analysis for the LT2ESWTR
S-ll
December 2005
-------
Exhibit S.9
1 n
0.1
0.01 -
10A-3-
10A-4
10A-5 ~|
CO
d
c
< 10A-6
10A-7-
10A-8
Annual Individual Risk by Bin
SSL CWS Option A1
— Pre-LT2 Risk
— Post-LT2 Risk - As-Required
— Post-LT2 Risk - As-Achieved
T
T
T
10%
20%
30%
40% 50% 60%
Cumulative Percent
70%
80%
90%
Economic Analysis for the LT2ESWTR
S-12
December 2005
-------
Exhibit S.10
1 n
0.1 -
1 0.01
c
10A-3-
g 1 oA-4 ¦
"O
S 10A-5'
CO
d
c
< 10A-6'
10A-7'
io^s-1
r
Annual Individual Risk by Bin
SSL CWS Option A2
Pre-LT2 Risk
Post-LT2 Risk - As-Required
Post-LT2 Risk - As-Achieved
T
T
T
10%
20%
30%
40% 50% 60%
Cumulative Percent
70%
80%
90%
Economic Analysis for the LT2ESWTR
S-13
December 2005
-------
Exhibit S.11
Annual Individual Risk by Bin
SSL CWS Option A3
0.1 -
1 0.01
c
10A-3-
ro 10a_4
"O
£ 10A-5-
10A-6-
10A-7-
10A-8
Pre-LT2 Risk
Post-LT2 Risk - As-Required
Post-LT2 Risk - As-Achieved
T
T
T
10%
20%
30%
40% 50% 60%
Cumulative Percent
70%
—I 1—
80% 90%
Economic Analysis for the LT2ESWTR
S-14
December 2005
-------
Exhibit S.12
1 -i
0.1
0.01
10A-3
10A-4-
£ 10A-5-
10A-6-
10A-7-
10A-8
Annual Individual Risk by Bin
SSL CWS Option A4
Pre-LT2 Risk
Post-LT2 Risk - As-Required
Post-LT2 Risk - As-Achieved
10% 20% 30% 40% 50% 60%
Cumulative Percent
70%
80%
90%
Economic Analysis for the LT2ESWTR
S-15
December 2005
-------
Exhibit S.13
1 n
0.1 -
0.01 -
10A-3
§ 10A-4
¦g
;>
£ 10A-5
< 10A-6
10A-7
10A-8
Annual Individual Risk by Bin
SSM CWS Option A1
Pre-LT2 Risk
Post-LT2 Risk ¦
Post-LT2 Risk ¦
As-Required
As-Achieved
T
T
T
10%
20%
30%
40% 50% 60%
Cumulative Percent
70%
80%
90%
Economic Analysis for the LT2ESWTR
S-16
December 2005
-------
Exhibit S.14
0.1 -
CO _ _ .
co 0 01
0
c
10A-3 —
§ 10A-4
T3
10A-5
10A-6-
10A-7
10A-8
10%
Annual Individual Risk by Bin
SSM CWS Option A2
Pre-LT2 Risk
Post-LT2 Risk - As-Required
Post-LT2 Risk - As-Achieved
T
T
T
20%
30%
40% 50% 60%
Cumulative Percent
70%
80%
90%
Economic Analysis for the LT2ESWTR
S-17
December 2005
-------
Exhibit S.15
1 -i
0.1 -
0.01 -
10A-3
§ 10A-4
¦g
;>
£ 10A-5
< 10A-6
10A-7
10A-8
Annual Individual Risk by Bin
SSM CWS Option A3
Pre-LT2 Risk
Post-LT2 Risk - As-Required
Post-LT2 Risk - As-Achieved
T
T
T
10%
20%
30%
40% 50% 60%
Cumulative Percent
70%
80%
90%
Economic Analysis for the LT2ESWTR
S-18
December 2005
-------
Exhibit S.16
Annual Individual Risk by Bin
SSM CWS Option A4
1
0.1
$ 0.01
C
° 10A-3
§ 10A-4
¦g
10A-5
CO
D
C
< 10A-6
10A-7
10A-8
10% 20% 30% 40% 50% 60% 70% 80% 90%
Cumulative Percent
Economic Analysis for the LT2ESWTR S-19 December 2005
Pre-LT2 Risk
Post-LT2 Risk - As-Required
Post-LT2 Risk - As-Achieved
O)
-------
S.4 Relationship Among the Modeled True, Measured, and Binning Concentrations of
Cryptosporidium
The data throughout this Economic Analysis uses data on the concentration of Cryptosporidium,
but in three different ways. Exhibit S. 17 shows those differences graphically using the ICR data set and
alternative A3. Data from one of three occurrence data sets ICR, ICRSSL, or ICRSSM) are used by a
model to model a "true" distribution. This distribution of occurrence means would, when measured under
the analytical laboratory protocols produced a distribution of means, labeled as "measured
concentrations" in Exhibit S. 17. Binning assignments are made using a particular computation from these
concentrations-the highest annual running average from 2 years of monthly data. That computation
actually produces the step function shown in Exhibit S.17 as MaxRAA.
Part of the point of this distinction is that the model and the results in this appendix derive their
estimates of risk using the "true concentration" estimated distributions, after taking into account any
treatment in a system required by being binned by the MaxRAA.
Economic Analysis for the LT2ESWTR
S-20
December 2005
-------
Exhibit S.17
Relationship Among True, Measured and Binning Concentrations
Based on Occurence Model for ICR Data; Marked Bin Limits are for Regulatory Option A3
100
10
1 -
0.1
!g 0.01
10A-3 -
10A-4
10A-5
True Concentration
Measured Concentration
Max RAA (for binning)
f
3.0
To"
0~075
/:
S.\
65%
10%
20%
30%
40%
50%
60%
70%
80%
93% 97%
—I 1
90%
Cumulative Percent
Economic Analysis for the LT2ESWTR
S-21
December 2005
-------
S.5 Development of Estimates of Risk Distributions by Regulatory Alternative Bin
Developing estimates of risk distributions by regulatory alternative bin requires several steps.
The following series of graphs (Exhibits S. 18 through S.24, and S.6) illustrate each of those steps, and
they are described below. These graphs are for filtered CWS systems only. These graphs do not include
the variability related to ingestion, and therefore are not exactly comparable to the graphs used in the
Economic Analysis (Exhibits 5.12 and C. 11). Those graphs show somewhat steeper peaks due to
accounting for the above average ingestion levels by some individuals. The sequence of eight graphs is
repeated for each regulatory alternative.
1. Modeled Cryptosporidium Source Water Distribution by Bin
In this step, the graph (Exhibit S. 18) shows the overall source water occurrence distribution (the
dashed line) of system means. It also shows how that distribution divides up into distributions by
bin. Note that the distributions for each bin are not merely cut segments of the overall
distribution, but overlap somewhat, reflecting the misclassification inherent in the monitoring,
testing, and Maximum Running Annual Average (Max RAA) calculation that place systems into bins.
2. Pre-LT2 Finished Water By Bin, Modeled Points
In this step, the graph (Exhibit S. 19) repeats the distributions of source water by bin, and adds
the pre-LT2 finished water concentration for each of the simulation points. The mass of data
points reflects the percentages of small and large systems, the modeled treatment effectiveness
based on the appropriate treatment distribution (including variability), and the effect of treatment
credits. Each estimated data point only corresponds vertically to its original placement in the
overall distribution curve by bin (the lines above).
3. Pre-LT2 Finished Water by Bin, Distribution Curve
This graph (Exhibit S.20) resorts all the individual simulation estimates from the bottom of the
graph for Step 2 (Exhibit S.19) into a single distribution curve for each bin. (The points on the
finished water curve now do not correspond vertically to the source water curve because they
have been resorted in order of
concentration.)
4. Post-LT2 Finished Water, Required Reduction, Modeled Points
This graph (Exhibit S.21) repeats the finished water distributions derived in Exhibit S.16, and
adds for each of those simulated points, the Post-LT2 required log reduction. Thus, in the No
Action bins, all points are exactly along the finished water curve. For an action bin, there may be
several lines, reflecting that some systems must meet the stated bin requirement (such as 1 log),
but others may be entitled to a half log or 1 log credit. In some cases, that may mean some
systems in action bins will require no additional treatment and lie along the original finished
water distribution line.
5. Post-LT2 Finished Water, Required Reduction, Distribution Curve
This graph (Exhibit S.22) takes the individual points shown in the graph for Step 4 (Exhibit S.21)
and resorts them into distributions. It shows two distributions by bin: the distribution of Pre-LT2
finished water and the minimum improvement required by that rule alternative.
6. Post-LT2 Finished Water, Achieved Reduction, Modeled Points
This graph (Exhibit S.23) again shows the Pre-LT2 finished water distribution derived in Exhibit
S.20 and shown in Exhibits S.21 and S.22. Analogous with Exhibit S.21, this graph shows the
simulation points based on the achieved log reductions. Because the Decision Tree includes
Economic Analysis for the LT2ESWTR
S-22
December 2005
-------
many technologies that achieve different log reductions, there can be multiple lines. For
example, for "systems" in a 1 log bin, they may achieve 0.0 log reduction (because they are
entitled to a 1 log credit and need no further treatment), a half-log reduction (because they are
entitled to a 0.5 log credit and choose a technology that achieves only a half log of treatment), or
any degree of treatment up to 3.0 logs.
7. All Finished Water Distributions by Bin
This graph (Exhibit S.24) includes the distributions from the graph from Step 5 (finished water
and "required", Exhibit S.22), and adds the resorted distribution of "as achieved" from the graph
for Step 6 (Exhibit S.23). In this one graph, each bin shows the finished water occurrence, the
required improvement, and the improvement achieved.
8. Annual Individual Risk by Bin
Exhibit S.6 takes the distributions from the graph for Step 7 and computes the distributions in
terms of annual individual risk of illness. As expected, the same general shapes of the curves
from Exhibit S.24 are seen. Again, these graphs do not include the variability related to
ingestion, and therefore are not exactly comparable to the graphs used in the Economic Analysis
(Exhibits 5.12 and C. 11). Those graphs show somewhat steeper peaks due to accounting for the
above average ingestion levels by some individuals.
Economic Analysis for the LT2ESWTR
S-23
December 2005
-------
Exhibit S.18
Modeled Cryptosporidium Source Water Distribution by Bin
ICR CWS Option A2
100
10 -
1 -
0.1 -
0.01
10A-3 -
o.
O 10A-4
10A-5
10A-6 ^
Source Water Distribution (Mean Uncertainty Curve)
Source Water Distribution by Bin
10%
20%
30%
40%
50%
60%
70%
80%
90%
Cumulative Percent
Economic Analysis for the LT2ESWTR
S-24
December 2005
-------
Exhibit S.19
100 -i
10
1 -
0.1 -
0.01
10A-3 -
E 10A-4-
? 10A-5
o
CL
o 10A-6H
-t—»
Q_
q 10A-7-
c
S 10A-8
c 10A-9H
JO
10A-10—'
Pre-LT2 Finished Water by Bin, Modeled Points
ICR CWS Option A2
Source Water
Pre-LT2 Finished Water
$
•»4^0>A
T
T
T
10%
20%
30%
40% 50% 60%
Cumulative Percent
70%
80%
90%
Economic Analysis for the LT2ESWTR
S-25
December 2005
-------
Exhibit S.20
Pre-LT2 Finished Water by Bin, Distribution Curve
ICR CWS Option A2
100 -
10 -
1 -
0.1
£ 0.01 -
10A-3 -
E 10A-4-
? 10A-5-
o
Q_
o 10A-6
Q_
O 10A-7
c
S 10A-8
c 10A-9-
_co
10A-10—'
Source Water
Pre-LT2 Finished Water
T
T
T
10%
20%
30%
40% 50% 60%
Cumulative Percent
70%
80%
90%
Economic Analysis for the LT2ESWTR
S-26
December 2005
-------
Exhibit S.21
Post-LT2 Finished Water, Required Reduction, Modeled Points
ICR CWS Option A2
0.1
0.01 -
10A-3-
10A-4
10A-5 -
10A-6-
10A-7-
10A-8
Pre-LT2 Finished Water
Post-LT2 As-Required
8
50%
60%
70%
80%
90%
Cumulative Percent
Economic Analysis for the LT2ESWTR
S-27
December 2005
-------
Exhibit S.22
Post-LT2 Finished Water, Required Reduction, Distribution Curve
ICR CWS Option A2
0.1 -
0.01 -
10A-3
10A-4 i
10A-5
10A-6 ~\
10A-7
10A-8 -1
Pre-LT2 Finished Water
Post-LT2 As-Required
T
T
50%
60%
70% 80%
Cumulative Percent
90%
Economic Analysis for the LT2ESWTR
S-28
December 2005
-------
Exhibit S.23
Post-LT2 Finished Water, Achieved Reduction, Modeled Points
ICR CWS Option A2
0.1 -
0.01 -
10A-3
10A-4 —
o. 10A-5
CO
o
-t—»
Q_
O 10A-6
10A-7 —
10A-8
Pre-LT2 Finished Water
Post-LT2 As-Achieved
50%
60%
70%
80%
90%
Cumulative Percent
Economic Analysis for the LT2ESWTR
S-29
December 2005
-------
Exhibit S.24
All Finished Water Distributions by Bin
ICR CWS Option A2
1 n
0.1
0.01 -
10A-3 -
10A-4 -
10A-5 -
CL
§ 10A-6-
10A-7
10A-8 ^
Pre-LT2 Finished Water
Post-LT2 As Required
Post-LT2 As Achieved
T
T
50%
60%
70% 80%
Cumulative Percent
90%
Economic Analysis for the LT2ESWTR
S-30
December 2005
-------
Appendix T
Risk Assessment Model—Program and Data Files
T.l Summary
This appendix describes the program and data files used in the LT2ESWTR risk assessment
model. It is meant to be used in conjunction with running the SAS Risk and Benefits model, provided on
CD. It describes the general progression of the programs, the inputs to the model (constants and
distributions), macros used in the intermediate steps, and the Excel output files. The chapter and
appendix exhibits containing the model outputs are also noted at the relevant steps.
Economic Analysis for the LT2ESWTR
T-l
December 2005
-------
Running the SAS Risk and
Benefits Model
Program l.sas
Generates national risk uncertainty
distributions for all filtered systems
Program 1b.sas
Generates national risk uncertainty
distributions for Large (LG)
unfiltered systems
Program 1a.sas
Generates national risk uncertainty
distributions for Very small (VS),
Small (SM), and Medium (MD)
unfiltered systems
Program3.sas
Generates Annual
Individual Risk Distributions
(variability) from data generated
by Programs 1,1a and 1b
Program2.sas
Generates benefits for all
filtered/unfiltered systems
and output for Appendices
Economic Analysis for the LT2ESWTR
T-2
December 2005
-------
Excel Outputs
VSL Stats.xls
ICR_NomBenefits_a3_enhan.xls,
ICR NomBenefits a3 trad.xls
Mean of Yearly Values for a
Statistical Life (simulation
results) Appendix C
Nominal Benefits for ICR, A3
(Enhanced and Traditional COI)
Appendix C
CasesAvoid_BenefitAnn_3_enhan.xls (Exhibit C4a),
CasesAvoid_BenefitAnn_3_trad.xls (Exhibit C4b),
CasesAvoid_BenefitAnn_7_enhan.xls (Exhibit C5a),
CasesAvoid_BenefitAnn_7_trad.xls (Exhibit C5b),
CasesAvoid_BenefitAnn_filt_3_enhan.xls (Exhibit C6a),
CasesAvoid_BenefitAnn_filt_3_trad.xls (Exhibit C6b),
CasesAvoid_BenefitAnn_filt_7_enhan.xls (Exhibit C8a),
CasesAvoid_BenefitAnn_filt_7_trad.xls (Exhibit C8b),
CasesAvoid_BenefitAnn_unfilt_3_enhan.xls (Exhibit C7a),
CasesAvoid_BenefitAnn_unfilt_3_trad.xls (Exhibit C7b),
CasesAvoid_BenefitAnn_unfilt_7_enhan.xls (Exhibit C9a),
CasesAvoid_BenefitAnn_unfilt_7_trad.xls (Exhibit C9b)
Cases Avoided-Benefits Annualized tables for
3% and 7% discount rate, All/fiItered/unfiltered systems
and enhanced/traditional COI
Appendix C
PV_Benefits_3_enhan.xls,
PV_Benefits_3_trad,
PV_Benefits_7_enhan.xls,
PV_Benefits_7_trad.xls,
Present Value summary statistic tables for
3% and 7% discount rates, all systems,
and enhanced/traditional COI
Appendix O
Economic Analysis for the LT2ESWTR
T-3
December 2005
-------
Programl.sas - Calculating Risk Uncertainty Distributions for Filtered Systems
DATA: Credit
DATA:
ICR_MaxRAA
SSL_MaxRAA
SSM MaxRAA
DATA:
ICR_RuleRemoval
SSL_RuleRemoval
SSM RuleRemoval
CONSTANT All Benefits Model
mu-sig pairs.xls
(mu-sigma pairs from modeled
Cryptosporidium occurrence data)
DATA:
ICR_musigma
SSL_musigma
SSM_musigma
MACRO assignCredit
1. Assign credit (half or full) to systems
with some credit
2. Probabilities are conditional given that
system has some credit
3. Credit probabilities vary by size
MACRO generateLogN(dataset)
1. Select 250 mu-sigma pairs at random out of 1000 plausible
pairs from occurrence modeling
2. From each selected mu-sigma pair, generate 1000 random
lognormal plant mean concentrations
3. Repeat for each dataset (ICR, SSL, SSM)
MACRO computeRequiredRemoval(dataset)
1. For each rule calculate rule removal (bins) based on MaxRAA values
2. For aO (baseline), there is no rule removal
3. For a1, all rule removals are 2 logs
4. Determine required removal by subtracting credit value (0,0.5,1)
from rule removal. If difference<0, input 0.
5. Repeat for each dataset by option, size and credit
MACRO calculateMaxRAA(dataset)
1. For each simulated plant mean concentration, generate 24 monthly
concentrations as random lognormal values x1 ,.x24
2. Generate r1 ,.r24 recovery rates as random Beta(2,3)
3. Calculate lambdal Jambda24 as Volume(L) * conc(oocyst/L) *
Recovery (unitless). Volume is always 10L.
4. Generate integer counts zi as random Poisson(lambdai), i=1 ..24
5. Calculate 12 months moving average i=1 ..13 (for month 12..24)
and divide it by 10 to obtain count/L.
6. Return max of 13 moving average values.
7. Repeat for each dataset
TO MACRO calculateAchievedRemoval
(NEXT PAGE)
Economic Analysis for the LT2ESWTR
T-4
December 2005
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Programl.sas - Calculate Risk Uncertainty Distributions for Filtered Systems
From
MACRO computeRequiredRemoval
(PREV PAGE)
From
MACRO assignCredit
(PREV PAGE)
From MACRO generateLogN
(PREV PAGE)
TO MACRO calculateRiskCurves
(NEXT PAGE)
DATA: Credit
DATA: PreLT2
DATA:
ICR_musigma
SSL_musigma
SSM_musigma
DATA:
compliance_forecast_probs
CONSTANT
Alternate Compliance Matrix.xls
(compliance forecast probabilities)
DATA:
ICR_AchievedRemoval
SSL_AchievedRemoval
SSM AchievedRemoval
DATA:
ICR_RuleRemoval
SSL_RuleRemoval
SSM RuleRemoval
DATA:
ICR_FW_crypto_conc
SSL_FW_crypto_conc
SSM_FW_crypto_conc
MACRO calculateAchievedRemoval(dataset)
1. Calculate the actual removal achieved
(based on removal required) as a random value with
probabilities drawn from compliance matrix
2. Compliance forecast probabilities are given by
credit and size
3. Repeat for each dataset by rule, size and credit
MACRO generateComplianceForecastProbs
1. Create compliance forecast probabilities as random values
with probabilities drawn from compliance matrix
2. Compliance forecast probabilities are used to determine
the actual achieved removal based on required removal value
3. Compliance matrix probabilities are given by credit and size
MACRO computeFWCryptoConc(dataset)
1. Calculate the finished water crypto concentration
2. Finished water crypto concentration is plant concentration
divided by 10A(plt2 + achieved removal)
3. For baseline achieved removal is always zero
4. Repeat for each dataset by rule, size and credit
MACRO performPreLT2Removal
1. Generate pre-LT2 removal by credit/nocredit
and size
2. Generate triangular distribution mode as random
uniform uncertainty parameter
3. Pre-LT2 is based on triangular distribution with
parameters for small size (VS,SM) and
large size (MD,LG)
4. For systems with some credit, 0.5 log is added
to the triangular distribution parameters
5. Values vary by size and credit
Economic Analysis for the LT2ESWTR
T-5
December 2005
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Program!.sas - Calculate Risk Uncertainty Distributions for Filtered Systems
FROM MACRO
com puteFWCryptoConc
(PREV PAGE)
CONSTANT Mean rValues.xls
(8000 R values)
DATA Risk_params
DATA:
IC R_Ri s k_C u rves
SSL_Risk_Curves
SSM Risk Curves
DATA:
ICR_Risk_Means
S S L_Ri s k_M ean s
SSM Risk Means
DATA:
ICR_FW_crypto_conc
SSL_FW_crypto_conc
SSM_FW_crypto_conc
MACRO calculateRiskCurvesMean(dataset)
1. Calculate 250 risk means
2. Repeat for each dataset by rule, size and credit and system type
MACRO calculateRiskCurves (dataset)
1. Calculate the risk curves
2. Risk Curve = m * [1 - exp(-Cvlrn)]
3. m, v, r are randomly generated risk parameters
4. C = finished water crypto concentration
5. I = avg. drinking water consumption (constant)
6. n = number of exposure days (constant) by system type
7. Repeat for each dataset by rule, size and credit and system type
MACRO generateRiskParams
1. Generate risk dose-response parameters
2. m = morbidity = unc param from triangular distribution for each outer loop
(250 values)
3. v = viability unc param from triangular distribution for each outer loop
(250 values)
4. I = constant - avg drinking water ingestion
5. r = unc param drawn from collection of 8000 values for each
outer loop (250 values)
6. n = constant - number of days of exposure (varies by CWS,NTN,TN)
Economic Analysis for the LT2ESWTR
T-6
December 2005
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Programla.sas - Calculate Risk Uncertainty Distributions for VS (very small), SM
(small), and MD medium) Unfiltered Systems (using MD as an example)
DATA:
UMD RuleRemoval
DATA:
UMD_musigma
DATA:
UMD_PlantAvg
CONSTANT All Benefits Model
mu-sig pairs.xls
(mu-sigma pairs)
MACRO generateLogN(dataset)
1. Select 250 random mu-sigma pairs from the list of
1000 previously generated mu sigma values
2. From each selected mu-sigma pair, generate 1000
random lognormal plant mean concentrations
3. Implement cap (plant mean < 1000 oocysts/l)
MACRO computeRequiredRemoval(dataset)
1. For each rule calculate rule removal (bins) based on Plant Avg.
values
2. For baseline there is no rule removal
3. For rule options, all rule removals are 2 or 3 logs
4. Determine required removal by comparing plant average to 0.01
5. Repeat for each size
MACRO calculatePlantAvg(dataset)
1. For each simulated plant mean concentration, generate 24 monthly
concentrations as random lognormal values x1 ,.x24
2. Generate r1..r24 recovery rates as random Beta(2,3)
3. Calculate lambdal Jambda24 as Volume(L) * conc(oocyst/L) *
Recovery (unitless). Volume is always 10L.
4. Generate integer counts zi as random Poisson(lambdai), i=1 ..24
5. Calculate simple 24-month average and divide by 10 to obtain count/I
TO MACRO calculateAchievedRemoval
(NEXT PAGE)
Economic Analysis for the LT2ESWTR
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Programla.sas - Calculate Risk Uncertainty Distributions for VS (very small), SM
(small), and MD (medium) Unfiltered Systems (using MD as an example)
FROM MACRO
computeRequiredRemoval
(PREV PAGE)
FROM Programl.sas
DATA Risk_params
DATA:
UMD RuleRemoval
DATA:
UMD AchievedRemoval
DATA:
UMD_FW_crypto_conc
DATA:
UMD Risk Means
DATA:
UMD Risk Curves
MACRO calculateRiskCurvesMean (dataset)
1. Calculate 250 risk means
2. Repeat for each rule by size
MACRO computeFWCryptoConc (dataset)
1. Calculate the finished water crypto concentration
2. Finished water crypto concentration is plant concentration
divided by 10A(plt2 + achieved removal)
3. For baseline achieved removal is always zero
4. Repeat for each dataset by rule, size
MACRO calculateAchievedRemoval(dataset)
1. Calculate the actual removal achieved (based on removal required)
as a random value with probabilities drawn from compliance matrix
2. Compliance forecast probabilities are given by size
3. Repeat for each dataset by size
MACRO calculateRiskCurves (dataset)
1. Calculate the risk curves
2. Risk Curve = m * [1 - exp(-Cvlrn)]
3. m, v, and r are randomly generated risk parameters
4. C = finished water crypto concentration
6. I = avg. drinking water consumption (constant)
7. n = number of exposure days (constant) by system type
8. Repeat for each rule by size
NOTE: For unfiltered systems risk is capped at 0.10 and CWS
is the only system type
Economic Analysis for the LT2ESWTR
T-8
December 2005
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Programlb.sas - Calculate Risk Uncertainty Distribution for LG (large) Unfiltered
Systems
DATA:
ULG_PlantAvg
DATA:
ULG RuleRemoval
DATA VL_Counts
(mu-sigma pairs)
DATA:
ULG_musigma
CONSTANT All Benefits Model
mu-sig pairs.xls
(mu-sigma pairs)
MACRO generateVLCounts
For 8 very large systems, select
250 random plant means, per
system, from 1000 simulated
means for each system based on
occurrence models and ICR
data for each of the 8 systems
MACRO generateLogN(dataset)
1. For 2 large unfiltered systems, select 250 mu-sigma pairs at
random out of 1000 plausible pairs from occurrence modeling
2. From each selected mu-sigma pair, generate 1000
random lognormal plant mean concentrations
3. Implement cap (plant mean < 1000 oocysts/l)
MACRO computeRequiredRemoval(dataset)
1. Calculate rule removal (bins) based on Plant Avg. values
2. For baseline there is no rule removal
3. For rule, all rule removals are 2 or 3 logs
4. Determine required removal by comparing plant average to 0.01
5. Repeat for each LG-VL (large, very large) system
MACRO calculatePlantAvg(dataset)
1. For each simulated plant mean concentration, generate 24 monthly
concentrations as random lognormal values x1 ,.x24
2. Generate r1 ,.r24 recovery rates as random Beta(2,3)
3. Calculate lambdal ..Iambda24 as Volume(L) * conc(oocyst/L) *
Recovery (unitless). Volume is always 10L.
4. Generate integer counts zi as random Poisson(lambdai), i=1 ..24
5. Calculate simple 24-month average and divide by 10 to obtain count/I
6. Repeat for each one of the 10 LG/VL (large, very large) unfiltered
systems
To MACRO calculateAchievedRemoval
(NEXT PAGE)
Economic Analysis for the LT2ESWTR
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Programlb.sas - Calculate Risk Uncertainty Distributions for LG Unfiltered Systems
(cont)
FROM MACRO
computeRequiredRemoval
(PREV PAGE)
FROM Program!.sas
DATA Risk_params
DATA:
ULG RuleRemoval
DATA:
ULG Risk Curves
DATA:
ULG AchievedRemoval
DATA:
ULG_FW_crypto_conc
DATA:
ULG Risk Means
MACRO calculateRiskCurvesMean (dataset)
1. Calculate 250 risk means
2. Repeat for each dataset by rule and 1 size (LG)
MACRO computeFWCryptoConc (dataset)
1. Calculate the finished water crypto concentration
2. Finished water crypto concentration is plant concentration
divided by 10A(plt2 + achieved removal)
3. For baseline achieved removal is always zero
4. Repeat for each LG-VL plant
MACRO calculateAchievedRemoval(dataset)
1. Calculate the actual removal achieved (based on removal required)
as a random value with probabilities drawn from compliance matrix
2. Compliance forecast probabilities are given by size
3. Repeat for each LG-VL (large, very large) plant
MACRO calculateRiskCurves (dataset)
1. Calculate the risk curves
2. Risk Curve = m * [1 - exp(-Cvlrn)]
3. m, v, and r are randomly generated risk parameters
4. C = finished water crypto concentration
6. I = avg. drinking water consumption (constant)
7. n = number of exposure days (constant) by system type
8. Repeat for each LG-VL system
9. Calculate risk curves as weighted average of 10 systems with
weights based on system population served
NOTE: For unfiltered systems risk is capped at 0.10 and CWS
is the only system type
Economic Analysis for the LT2ESWTR
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December 2005
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Program2.sas - Generates benefits for filtered/unfiltered systems
and output for Appendices
TO MACROS
DATA:
Population
DATA:
randomRiskParams
DATA:
ICR_Risk_Means
SSM_Risk_Means
SSL_Risk_Means
UMD_Risk_Means
ULG Risk Means
DATA:
ICR_Risk_Avoided
SSM_Risk_Avoided
SSL_Risk_Avoided
UMD_Risk_Avoided
ULG Risk Avoided
MACRO sampleRiskAvoided(dataset),
MACRO sampleRiskAvoidedUNF(dataset),
1. Read Risk Curve Means generated in previous step
2. Subtract baseline from each alternative to calculate
risk avoided
3. Generate random sample (w/ replacement) of 10000
from the set of 250 risk means.
4. Repeat for each dataset
MACRO generatePopulationNumbers
1. Read system type populations system type
2. Create population numbers by system type broken
down by credit/ nocredit population
3. TNC population will have randomness factors once it
is merged with risk means
MACRO generateRndParamsForRiskAvoided
1. Generate a random vector (w/ replacement) of 10000 to be used
for selection of risk means
2. Generate a random vector of 10000 secondary spread parameters
from random triangular distribution
3. Generate a random vector of 10000 TNC population multipliers
from random triangular distribution
calculatelllnessesA voided
calculatelllnessesAvoidedUNF
(NEXT PAGE)
Economic Analysis for the LT2ESWTR
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Program2.sas - Generates benefits for filtered/unfiltered systems
and output for Appendices
FROM MACROS
generatePopulationNumbers
sampleRiskAvoided
sampleRiskAvoidedUNF
(PREV PAGE)
DATA:
Population
DATA:
UNF Coef
DATA:
ICRJA
SSMJA
SSL IA
MACRO combinelA
Combine Illnesses avoided
for filtered and unfiltered
DATA:
ICR_lllnesses_Avoided
SSM_lllnesses_Avoided
SSL_lllnesses_Avoided
UMD_lllnesses_Avoided
ULG Illnesses Avoided
DATA:
ICR_Risk_Avoided
S S M_Ri s k_Avoi d ed
SSL_Risk_Avoided
UMD_Risk_Avoided
ULG Risk Avoided
MACRO calculateUNFcoef(dataset),
MACRO calculateUNFcoef2
1. Calculate proportion of SSL and SSM to ICR for
filtered systems and apply same ratio to estimate
unfiltered systems illnesses for SSL and SSM
2. Combine unfiltered and filtered
MACRO calculatelllnesesAvoided (dataset),
MACRO calculatelllnesesAvoidedUNF(dataset),
1. Calculate number of illnesses avoided by multiplying
the number Risk Avoided by population and secondary spread rates
2. For TNC system type population include uncertainty factor
(random TNC multiplier)
3. Repeat for each dataset
Combine with Total and
Annualized Benefits to
produce output tables
Economic Analysis for the LT2ESWTR
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Program2.sas - Generates benefits for filtered/unfiltered systems
and output for Appendices
DATA:
COI_Trad
COI Enhan
DATA:
VSL
DATA:
Benefit3_trad Benefit7_trad
Benefit3 enhan Benefit7 enhan
MACRO calculateBenefitsperPerson
1. Calculate illness and death total and annualized benefits
per person
2. Produce benefit dataset for 3% and 7% discount and
original/traditional/enhanced COI
MACRO calculateCOI(type)
1. Calculate COI as the sum of medical COI and lost-time COI
multiplied by income growth
2. Income growth is ratio of GDP/person for the current year and
GDP/person for 2003 as the base year
3. Repeat for each year
NOTE: Type options for COI are traditional and enhanced
MACRO calculateVSL
1. Calculate VSL as product of VSL factor (1990$),
inflation adjustment (to 2000$) and income elasticity
2. VSL factor is uncertainty parameter from Weibull distribution
3. Inflation adjustment factor is a constant
4. Income elasticity is (e11 -el2-12-11 )/(e12-el 1 -11 -12) where
e is uncertainty parameter from triangular dist, 12 is GDP for
the current year and 11 is GDP for 1990 as the base year
5. Repeat for each year
Combine with Illnesses
Avoided to produce output
tables
Economic Analysis for the LT2ESWTR
T-13
December 2005
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Program2.sas - Generates benefits for filtered/unfiltered systems
and output for Appendices
(Produce Cases Avoided Benefits Annualized for Exhibits C4-C9)
r
DATA:
Benefit3_trad Benefit7_trad
Benefit3 enhan Benefit7 enhan
DATA:
ICRJA
SSMJA
SSL IA
MACRO calculateTotalBenefitsI
MACRO calculateTotalBenefits2
MACRO calculateTotalBenefits3
Calculate statistical summary for Illnesses and Deaths avoided by
dataset (ICR,SSM,SSL), size(Small,Large), filtration(filtered/unfiltered),
discount rate (3%,7%) and COI (traditional,enhanced)
CasesAvoid_BenefitAnn_3_enhan.xls
CasesAvoid_BenefitAnn_Filt_3_enhan.xls
CasesAvoid_BenefitAnn_Unfilt_3_enhan.xls
CasesAvoid_BenefitAnn_7_enhan.xls
CasesAvoid_BenefitAnn_Filt_7_enhan.xls
CasesAvoid_BenefitAnn_Unfilt_7_enhan.xls
CasesAvoid_BenefitAnn_3_trad.xls
CasesAvoid_BenefitAnn_Filt_3_trad.xls
CasesAvoid_BenefitAnn_Unfilt_3_trad.xls
CasesAvoid_BenefitAnn_7_trad.xls
CasesAvoid_BenefitAnn_Filt_7_trad.xls
CasesAvoid BenefitAnn Unfilt 7 trad.xls
r
DATA:
Economic Analysis for the LT2ESWTR
T-14
December 2005
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Program2.sas - Generates benefits for filtered/unfiltered systems
and output for Appendices
(Produce Present Value of Benefits for Illnesses and Deaths for Exhibits C4-C9)
DATA:
ICRJA
SSLJA
SSM IA
DATA:
Benefit3_trad Benefit7_trad
Benefit3 enhan Benefit7 enhan
DATA:
PV_Benefits_3_enhan.xls
PV_Benefits_7_enhan.xls
PV_Benefits_3_trad.xls
PV Benefits 7 trad.xls
MACRO calculatePVTotBenef
Calculate statistical summary for Present Value Illnesses and Deaths avoided by
dataset (ICR,SSL,SSM), size(Small,Large),
discount rate (3%,7%) and COI (traditional,enhanced)
Economic Analysis for the LT2ESWTR
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December 2005
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Program2.sas - Generates benefits for filtered/unfiltered systems
and output for Appendices
(Produce Nominal Benefits for Exhibits 0.7.d, 0.7e)
DATA:
ICRJA
SSLJA
SSM IA
DATA:
VSL
COI_T rad
COI Enhan
DATA:
ICR_NomBenefits_a3_enhan.xls
ICR NomBenefits a3 trad.xls
MACRO calculateNominalBenefits
Calculate Nominal Benefits for Illnesses and Deaths avoided by
for ICR, A3 (preferred rule) by COI (traditional, enhanced)
Economic Analysis for the LT2ESWTR
T-16
December 2005
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Program2.sas - Generates benefits for filtered/unfiltered systems
and output for Appendices
(Produce Baseline Illnesses/Deaths for Exhibit C3)
DATA:
Baseline.xls
DATA:
UNF BaseCoef
DATA:
ICR_Baseline
SSL_Baseline
SSM Baseline
DATA:
ICR_Baseline
SSL_Baseline
SSM_Baseline
UNF Baseline
DATA:
ICR_Risk_Means
SSM_Risk_Means
SSL_Risk_Means
UMD_Risk_Means
ULG Risk Means
MACRO calculateBaselineStats(dataset,subset)
1. Calculate statistical summary for Baseline Illnesses and
Deaths by dataset, size and filtration
MACRO combineBaseline(dataset)
1. Combine Baseline Illnesses and Deaths for filtered
and unfiltered
MACRO calculateBaseUNFcoef
MACRO calculateBaseUNFcoef2
1. Calculate proportion of SSL and SSM in ICR in order to
estimate unfiltered values for SSL and SSM for Baseline
numbers
2. Combine unfiltered and filtered
MACRO calculateBaselinelllness(dataset)
MACRO calculateBaselinelllnessUNF(dataset)
1. Calculate number of illnesses at baseline by multiplying
the risk mean numbers by population and secondary spread rates
2. For TN system type population include uncertainty factor
(random TN multiplier)
3. Repeat for each dataset
Economic Analysis for the LT2ESWTR
T-17
December 2005
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Program3.sas - Generates data for Annual Individual Risk Distributions
Collection of simulated risk curves from
Programs 1,1a and 1b
DATA:
ICR_RC
SSL_RC
SSM_RC
UNF RC
DATA:
Samplepopulatlon
SamplepopulatlonUNF
DATA:
ICR_Risk_Curves
SSL_Risk_Curves
SSM_Risk_Curves
UNF Risk Curves
DATA:
ICR_lndivRiskCurve.xls
SSL_lndivRiskCurve.xls
SSM_lndivRiskCurve.xls
UNF lndivRiskCurve.xls
MACRO annuallndivRisk
MACRO annuallndivRiskUNF
1. Assign risk to each person sampled
2. Multiply risk curve by relative water consumption factor
(original risk curve is calculated based on avg daily water consumption)
3. Prepare XLS tables to be used for XLS plots of Annual Individual
Risk Distributions
MACRO generatePopulation
MACRO generatePopulationUNF
1. Sample population of 10,000 from each of 8
categories (4 sizes, 2 credits). For unfiltered systems there
are 4 population categories (4 sizes)
2. Probability of a person falling into one of the
categories is based on population numbers
3. Extrapolate 0,1,2 100 percentiles for water
Consumed, and assign random percentiles and water
consumed to each sampled person
4. Divide water consumed by avg daily water consumed
to obtain relative factor that multiplies risk
MACRO calculateRiskCurvePcts
MACRO calculateRiskCurvePctsUNF
1. Calculate 0,1,2 100 percentiles of risk curves
2. First calculate 0,1,2 100 percentiles for each of
250 systems
3. Average each percentile across 250 systems
4. Repeat for each dataset by size and credit (for unfiltered
by size only)
Economic Analysis for the LT2ESWTR
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December 2005
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Appendix U
Cost Effectiveness Analysis Using a
Quality-Adjusted Life Years Approach
U.l Introduction
This Appendix provides a description and results of an experimental approach to developing a cost
effectiveness analysis (CEA) for the Long Term 2 Enhanced Surface Water Treatment Rule
(LT2ESWTR) using quality-adjusted life years (QALYs). A previous regulatory impact analysis for the
Final Clean Air Interstate Rule (CAIR, Appendix G, 2005) also explored using QALYs. Significant
language from that EPA report is used in this Appendix, even though not always directly cited.
U.l.l Cost-Effectiveness Analysis
Health-based CEA and has been used to analyze numerous health interventions but have not been
widely adopted as tools to analyze environmental policies. The Office of Management and Budget
(OMB) has issued Circular A-4 guidance on regulatory analyses, requiring federal agencies to
... prepare a CEA for all major rulemakings for which the primary benefits are improved
public health and safety to the extent that a valid effectiveness measure can be developed
to represent expected health and safety outcomes.1
Environmental quality improvements may have multiple health and ecological benefits, making
application of CEA more difficult and less straightforward. For the LT2ESWTR, CEA can provide a
framework for analysis: nonhealth benefits are few, and all of the quantified benefits come from health
effects. Therefore, EPA is including in the LT2ESWTR Economic Analysis (EA) a preliminary and
experimental application of one type of CEA—a quality-adjusted life years (QALYs) approach.
Analyses of environmental regulations have typically used benefit-cost analysis (BCA) to
characterize impacts on social welfare. BCA allows for aggregation of the benefits of reducing mortality
and morbidity risks with other monetized benefits of increasing water quality. One of the great
advantages of the benefit-cost paradigm is that a wide range of quantifiable benefits can be compared to
costs to evaluate the economic efficiency of particular actions. However, an alternative paradigm such as
CEA has also been used. CEA involves estimation of the costs per unit of benefit (e.g., lives or life years
saved) and may incorporate preference-based measures of effectiveness, such as QALYs.
CEA has been used for comparing programs that have similar goals, for example, alternative
medical interventions or treatments that can save a life or cure a disease. Specifically, QALY-based CEA
has been widely adopted within the health economics literature (Neumann, 2003; Gold et al., 1996) and in
the analysis of public health interventions (US FDA, 2004). In addition, the World Health Organization
has adopted the use of disability-adjusted life years, a variant on QALYs, to assess the global burden of
disease due to different causes, including environmental pollution (Murray et al., 2002; de Hollander et
al., 1999). Also, the U.S. Public Health Service Panel on Cost Effectiveness in Health and Medicine
recommended using QALYs when evaluating medical and public health programs that primarily reduce
both mortality and morbidity (Gold et al., 1996).
1 Office of Management and Budget Circular A-4, September 17, 2003, page 9.
Economic Analysis for the LT2ESWTR
U-l
December 2005
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U.1.2 QALY Methodology
When using a QALY rating system, health quality ranges from 0 to 1, where 1 may represent full
health, 0 death, and some number in between (e.g., 0.8) an impaired condition. QALYs assume that
duration and quality of life are interchangeable, or "equivalent", so that 1 year spent in perfect health is
equivalent to 2 years spent with quality of life half that of perfect health. QALYs can be used to evaluate
environmental rules under certain circumstances, although some very strong assumptions (detailed below)
apply.
The application of QALYs is predicated on the assumptions embedded in the QALY analytical
framework. As noted in the QALY literature, QALYs are consistent with the utility theory that underlies
most of economics only if one imposes several restrictive assumptions, including independence between
longevity and quality of life in the utility function, risk neutrality with respect to years of life (which
implies that the utility function is linear), and constant proportionality in trade-offs between quality and
quantity of life (Pliskin, Shepard, and Weinstein, 1980; Bleichrodt, Wakker, and Johannesson, 1996). To
the extent that these assumptions do not represent actual preferences, the QALY approach will not
provide results that are consistent with a benefit-cost analysis based on the Kaldor-Hicks criterion.2
Even if the assumptions are reasonably consistent with reality, there are no guarantees that the
option with the highest QALY per dollar cost will satisfy the Kaldor-Hicks criterion (i.e., generate a
potential Pareto improvement [Garber and Phelps, 1997]), because QALYs represent an average valuation
of health states rather than the sum of societal willingness to pay (WTP).
However, benefit-cost analysis based on WTP is not without potentially troubling underlying structures as
well because it incorporates ability to pay (and thus the potential for equity concerns) and the notion of
consumer sovereignty (which emphasizes wealth effects). Exhibit U.l compares the two approaches
across a number of parameters. For the most part, WTP allows parameters to be determined empirically,
while the QALY approach imposes some conditions a priori.
Exhibit U.1: Comparison of QALY and WTP Approaches
Parameter
QALY
WTP
Risk aversion
Risk neutral
Empirically determined
Relation of duration and quality
Independent
Empirically determined
Proportionality of duration/ quality trade-off
Constant
Variable
Treatment of time/age in utility function
Unit linear in time
Empirically determined
Preferences
Community/Individual
Individual
Source of preference data
Stated
Revealed and stated
Treatment of income and prices
Not explicitly considered
Constrains choices
2
The Kaldor-Hicks efficiency criterion requires that the "winners" in a particular case be potentially able to
compensate the "losers" such that total societal welfare improves. In this case, it is sufficient that total
benefits exceed total costs of the regulation. This is also known as a potential Pareto improvement, because
gains could be allocated such that at least one person in society would be better off while no one would be
worse off.
Economic Analysis for the LT2ESWTR
U-2
December 2005
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It is important to note that the methods outlined in the following analysis provide estimates of the
total number of life years gained in a population, regardless of the quality of those life years, or
equivalently, assuming that all life years gained are in perfect health. In some CEAs (Cohen, Hammitt,
and Levy, 2003; Coyle et al., 2003), analysts have adjusted the number of life years gained to reflect the
fact that 1) the general public is not in perfect health and thus "healthy" life years are less than total life
years gained and 2) those affected by pollution may be in a worse health state than the general population
and therefore will not gain as many "healthy" life years adjusted for quality, from a pollution reduction.
Such adjustments would raise a number of serious ethical issues. Proponents of QALYs have
promoted the nondiscriminatory nature of QALYs in evaluating improvements in quality of life (e.g., an
improvement from a score of 0.2 to 0.4 is equivalent to an improvement from 0.8 to 1.0), so the starting
health status does not affect the evaluation of interventions that improve quality of life. However, for
life-extending interventions, the gains in QALYs will be directly proportional to the baseline health state
(e.g., an individual with a 30-year life expectancy and a starting health status of 0.5 will gain exactly half
the QALYs of an individual with the same life expectancy and a starting health status of 1.0 for a similar
life-extending intervention). This is troubling because it imposes an additional penalty for those already
suffering from disabling conditions. Brock (2002) notes that "the problem of disability discrimination
represents a deep and unresolved problem for resource prioritization."
OMB (2003) has recognized this issue in its Circular A-4 guidance, which includes the following
statement.
When CEA is performed in specific rulemaking contexts, you should be prepared to
make appropriate adjustments to ensure fair treatment of all segments of the population.
Fairness is important in the choice and execution of effectiveness measures. For example,
if QALYs are used to evaluate a lifesaving rule aimed at a population that happens to
experience a high rate of disability (i.e., where the rule is not designed to affect the
disability), the number of life years saved should not necessarily be diminished simply
because the rule saves the lives of people with life-shortening disabilities. Both analytic
simplicity and fairness suggest that the estimated number of life years saved for the
disabled population should be based on average life expectancy information for the
relevant age cohorts. More generally, when numeric adjustments are made for life
expectancy or quality of life, analysts should prefer use of population averages rather
than information derived from subgroups dominated by a particular demographic or
income group, (p. 13)
Because of the fairness concerns discussed above, this analysis does not reduce the number of life
years gained to reflect any differences in underlying health status; rather, it assumes that all direct gains in
life years resulting from mortality risk reductions will be assigned a weight of 1.0. This estimate has been
combined with the QALYs saved from avoided cases of non-fatal morbidity to yield a total life years
saved from avoided cases, and the resulting effectiveness measure has been called "MILYs" (Morbidity
Inclusive Life Years) in the regulatory impact analysis for the Final CAIR Rule (2005). The MILYs
approach will be employed in this analysis as well.
U.1.3 Concerns about the use of QALYs to evaluate environmental regulation
EPA is still evaluating the appropriate methods for application of CEA to environmental
regulations. To summarize, benefit-cost analysis has been the preferred method of choosing among
regulatory alternatives in terms of economic efficiency for environmental regulations. Most
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environmental regulations have multiple categories of benefits, and environmental economists have
preferred to aggregate results in terms of monetary net benefits. QALY-based analyses also have not been
as accepted in the environmental economics literature because of concerns about the theoretical
consistency of QALYs with individual preferences (Hammitt, 2002), treatment of benefits other than
human health, and a number of other factors (Freeman, Hammitt, and De Civita, 2002). Concerns with
the standard QALY methodology include consistency of CEA indices across multiple contexts; the
treatment of people with fewer years to live (the elderly); fairness to people with preexisting conditions
that may lead to reduced life expectancy and reduced quality of life; and how the analysis should best
account for nonhealth benefits.
Some concerns have also been raised in the literature with regard to applying the QALY
decrement to acute health impacts, such as cryptosporidiosis. Bala and Zarkin (2000) suggest that
QALYs are not appropriate for valuing acute symptoms, because of problems with both measuring utility
for acute health states and applying QALYs in a linear fashion to very short duration health states (i.e., if
a year with asthma symptoms is equivalent to 0.7 year without asthma symptoms, then 1 day without
asthma symptoms is equivalent to 0.0019 QALY gained). They indicate that using QALYs to value acute
morbid states may "vastly underestimate the societal value of interventions for acute conditions." In the
RIA for the Final Clean Air Interstate Rule (CAIR, 2005), EPA states that
Johnson and Lievense (2000) suggest using conjoint analysis to get healthy-utility time
equivalences that can be compared across acute effects, but it is not clear how these can
be combined with QALYs for chronic effects and loss of life expectancy. There is also a
class of effects that EPA has traditionally treated as acute, such as hospital admissions,
which may also result in a loss of quality of life for a period of time following the effect.
For example, life after asthma hospitalization has been estimated with a utility weight of
0.93 (Bell et al., 2001; Kerridge, Glasziou, and Hillman, 1995). To address the issues of
incorporating acute morbidity and nonhealth benefits, OMB suggests that agencies
"subtract the monetary estimate of the ancillary benefits from the gross cost estimate to
yield an estimated net cost.
In the CAIR analysis, EPA did not apply the QALY decrement to acute morbidity effects, but
followed the "net cost" approach in their illustrative QALY exercise, specifically in netting out the
benefits of health improvements other than reduced mortality and chronic morbidity. The issue of
linearity is still uncertain, and is among the issues that the NAS/ IOM panel on CEA is considering.
As an illustration of one of the major issues in ensuring consistency across CEAs conducted in
multiple contexts, it is useful to examine the degree of variability across QALY calibration
methodologies. A study by Erik Nord examined differences in the health-state scores that would result by
application of a wide range of multi-attribute utility instruments. As will be discussed later, one of these
instruments, the Quality-of-Well Being scale (QWB), was used by FDA in the Regulatory Impact
Analysis (RIA) of recent bioterrorism rules and served as the basis for the QALY scores used in this
analysis. The results of the Nord study are summarized in Exhibit U.2 below (see Nord 1999 for further
details).
One interpretation of the data in Exhibit U.2 is that the variability in QALY estimates across
methods suggests that great care must be taken when comparing the results of CEAs that apply different
QALY scoring systems. An alternative view is that the scoring systems may themselves be ideally suited
to specific types of effects, and therefore comparisons across scales are meaningless (e.g., some argue the
QWB is best for acute effects because it specifically addresses symptoms, while other techniques may be
better suited for injuries, life-threatening chronic conditions, and chronic conditions where severity may
vary over time). There are likely other interpretations of these results as well. The main point is that
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comparisons to other CEAs must make explicit consideration of standardization issues such as the use of
QALY estimation methods.
Exhibit U.2: Health-State Scores According to Rules of Thumb and Different
Multi-Attribute Utility Instruments
Instrument
Problem Level
Severe
Considerable
Moderate
Rules of Thumb
.65- .85
.90- .94
.98 - .995
QWB
.45- .55
.65- .70
<.80
HUM1
0
1
ho
o
o
1
o
CO
<.85
HUM2
.40
.70
.90- .94
EuroQol
.20
.60
.70
York EuroQol (TTO)
.20 - .25
4^
0
1
cn
o
.80
IHQL (3D)
.50 - .70
.75 - .85
.89 - .93
IHQL (complex)
0
1
cn
o
i
O
CO
.90 - .94
15 D
.77
.86
.91 - .93
Rosser-Kind
.68
.94
.97- .98
Source: Nord (1999). Note that the estimates in this table represent health-state scores, rather than QALY decrements from a baseline
health state.
Some concerns with QALY applications may be addressed by The Institute of Medicine (IOM) (a
member institution of the National Academies of Science (NAS)), which has established the Committee
to Evaluate Measures of Health Benefits for Environmental, Health, and Safety Regulation to assess the
scientific validity, ethical implications, and practical utility of a wide range of effectiveness measures
used or proposed in CEA3. This committee is expected to produce a report by the end of 2005; however,
it is not clear that members will necessarily reach a consensus on how to contend with the problems
associated with applying the QALY methodology to environmental regulations. In the interim, however,
agencies are expected to provide CEAs for rules covered by Circular A-4 requirements.
Therefore, the LT2ESWTR EA includes the following QALY-based analysis to illustrate one
potential approach for conducting a CEA. This is an experimental application, and EPA is still evaluating
the appropriate methods for applying CEA to environmental regulations with multiple outcomes. The
methodology presented in this section is not intended to stand as precedent for either future water quality
regulations or other EPA regulations: the appropriateness of QALY-based CEA should be evaluated on a
case-by-case basis.
3 National Academies of Science, Institute of Medicine website is found on
http://www.iom. edu/proiect.asp?id=f 9739. Their report on QALYs and other cost effectiveness measures is due out
at the end of 2005.
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The remainder of this Appendix provides the step-by-step development of a QALY-based
measure of the cost-effectiveness of the LT2ESWTR, including the following steps:
• Development of the QALY denominator. This includes determination of an appropriate QALY
decrement and its application to cases of morbidity, calculation of life years saved from avoided
cases of mortality, and integration of morbidity and mortality cases into a total life years saved
denominator.
• Development of the annualized cost numerator. Costs are the regulatory costs net of costs
appropriate to subtract from the numerator.
• Finally, the numerator and denominator are integrated to yield a dollars-per-MILY ratio.
U.2 Methods
The first step in the development of a "dollars-per-MILY" ratio for this CEA is to determine the
QALY decrement per case of cryptosporidiosis to be used in the denominator. A QALY decrement is the
amount by which a person's years of life can be considered as reduced by the loss of quality of life due to
illness. EPA reviewed the health literature to determine an appropriate measure of a QALY decrement, as
described further in Section 2.1.1.1 of this Appendix.
The QALY decrement is used to derive the quality-adjusted life years saved due to reduction in
morbidity from cases of cryptosporidiosis contracted through drinking contaminated water (Section
2.1.1.2). These QALYs are added to the life years saved by reducing premature mortality due to such
cases of cryptosporidiosis. The total life years saved from morbidity and mortality comprise the
denominator in the dollars-per-MILY measure of this CEA.
The numerator of the dollars-per-MILY measure is the cost of the regulation minus certain costs
associated with the illness that will be avoided after implementation of the regulation. Subtracting costs
from the numerator is appropriate when the costs are not considered by participants (elicitees) in the
QALY elicitation process. These costs and the resulting net cost numerator are described in Section 2.2
of this Appendix.
The following three sections describe how the denominator (QALY units) and the numerator
(dollar units) are derived and used to calculate the cost effectiveness of the regulatory alternatives as a net
cost per MILY.
U.2.1 The CEA Denominator: Deriving QALYs
In addition to directly measuring the quantity of life gained, measured by life years, it may also
be informative to measure gains in the quality of life. Reductions in drinking water contamination from
Cryptosporidium will reduce the incidence of cryptosporidiosis, avoiding a decrease in quality of life due
to illness. To capture these important benefits in the measure of effectiveness, they must first be
converted into a life year equivalent so that they can be combined with the direct gains in life expectancy.
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The QALY calculation requires three elements:4
• the estimated change in incidence of the health condition
• the duration of the health condition
• the quality of life decrement due to the condition
The first element is derived using the health impact function approach. The second element is
based on the medical literature for each health condition. The third element is derived by one of three
methods, as described in Section 2.1.1.1 below.
U.2.1.1 Equivalent life years saved from avoided cases of non-fatal morbidity
U.2.1.1.1 Determining the QALY decrement
There are three methods by which effectiveness is quantified in a QALY -based cost-effectiveness
analysis: "direct elicitation," "standardized questionnaire," and "database research." The first involves
primary research, where subjects in a survey setting are asked to express preferences for specific health
states expressed on the 0 to 1 interval, where 0 represents death and 1 represents perfect health. Most of
these studies apply either a time-tradeoff, standard gamble, or rating scale elicitation technique;
sometimes multiple methods are applied. The more rigorous time-tradeoff and standard gamble
techniques are typically considered to yield more reliable estimates than the rating scale technique (Gold,
Stevenson, and Fryback, 2002). The "direct elicitation" method can be administered to samples of
patients with a given condition, to the general population (known as "community" samples), or to expert
panels.
The second method, "standardized questionnaire," also involves some primary survey work, but
is simpler to implement than the direct elicitation approaches. This method involves administering a
standardized set of questions that evaluate multiple aspects of an individual's health, including mobility,
degree of pain, and ability to provide care to oneself, and then using the answers to generate a QALY
score on the 0 to 1 scale. The QALY score is estimated using a formula for translating specific
combinations of questionnaire answers that is generated through prior calibration work. The formula is
questionnaire specific. This method can also be administered to different types of samples. Because of
its ease of use, many applications of this technique are conducted as an integral part of clinical trials for
specific treatment regimens. This facilitates calculating cost-effectiveness of various treatments of the
patient populations that are the subjects of the clinical trial. Occasionally, the standardized questionnaire
method is applied by study authors themselves, relying on their own expert judgment.
The third and simplest method, "database research," was adopted by EPA for use in this CEA,
using values from existing literature and requires no new primary research. Several databases have been
developed to facilitate these literature searches; the most extensive is the Cost-Effectiveness Analysis
database developed by researchers at Harvard University School of Public Health.5 As noted below, EPA
4 In some QALY calculations, two other elements are required: the quality of life weight with the health condition
and the quality of life weight without the health condition (i.e., the baseline health state). These elements would be
derived from the medical cost-effectiveness and cost-utility literature. In this CEA, however, these are immaterial
because there is no discounting of benefits for differing baselines of health in the population: the health gain is
assumed the same for all individuals.
5 The Harvard CEA database is available online at the following
URL:http://www.hcra.harvard.edu/pdf/preferencescores.pdf. The current version of the database includes citations
with publication dates through 1997.
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used this database, supplemented by broader literature searches, to identify studies that include QALY
scores for the health effects of cryptosporidiosis.
Using existing literature requires some care in documenting the technique used to conduct the
study, the nature of the sample, and the match between the severity and duration of the health effect
studied and the health effect linked to drinking water contamination. The preferred source of quality of
life weights are those based on community preferences, rather than patient or clinician ratings (Gold et al.,
1996). Several methods are used to estimate quality of life weights. These include the rating scale,
standard gamble, time trade-off, and person trade-off approaches (Gold, Stevenson, and Fryback, 2002).
Only the standard gamble approach is completely consistent with utility theory. However, the time trade-
off method has also been widely applied in eliciting community preferences (Gold, Stevenson, and
Fryback, 2002).
EPA has not yet developed formal guidance for the development of cost-effectiveness analyses to
support and evaluate regulatory actions. As noted elsewhere, EPA and other agencies are awaiting the
completion of the deliberations of an NAS Institute of Medicine panel that is reviewing application of
cost-effectiveness analysis to regulatory actions before developing it's own specific guidance. As a result,
for this economic analysis, EPA sought to rely on available literature for general guidance in selecting the
most appropriate studies to apply. In general, the recommendations adopted for this analysis are
consistent with recommendations made by the Panel on Cost-Effectiveness in Health and Medicine, a
group of 13 nongovernment scientists and scholars with expertise in cost-effectiveness analysis that was
convened by the U.S. Public Health Service in 1993 (Gold et al., 1996). That panel developed
recommendations for methods to use in "Reference Case" CEA's in an effort to improve consistency
across applications of CEA in the public health and medicine fields.
Relying heavily on the recommendations in Gold et al. (1996), the criteria used to select the
highest-quality studies are the following:
1. Where available, reliance on studies administered to community-based samples. These samples
best match the attributes of the general population that is exposed to and potentially at risk of
health consequences from drinking water contaminants. Where community-based studies are not
available, preference is for patient samples, followed by expert panels and author judgment (Gold
et al., 1996).
2. Where available, reliance on directly administered time-trade-off or standard gamble studies over
studies that administer a standardized questionnaire (Gold, Stevenson, and Fryback, 2002). In
some cases, however, direct method studies have very small sample sizes or other major
methodological shortcomings. In these cases, usage of judgment to select a study that provides
the most reliable estimate, or looking for consistency of results across several studies.
3. Selection of studies with the best match of health effect to the health endpoint of interest. In
cases where the match is not good because of differences in severity or duration of effect, for
example, preference is for use of studies providing sufficient documentation to adjust the
estimates to better match the severity and duration of interest. Note that Gold et al. (1996)
discuss the need for clarifying the health effect of interest, and implicitly recommend that
analysts seek a good match in health effect definition. This criterion is derived from the health
benefits guidance for benefit valuation in EPA Guidelines for Preparing Economic Analyses
(USEPA 2000, p. 64).
EPA did not discover any patient-based or community-based QALY estimates of the quality of
life decrement associated with contracting cryptosporidiosis. There are a number of CEAs, however, that
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estimate the impact of the illness using QALY scores for gastrointestinal symptoms or severe pain. These
include two analyses by the Food and Drug Administration (2004 and 1998), an internal draft study by
U.S. EPA (Boutin et al., 1998), and a journal article by Havelaar et al. (2000). In addition, EPA identified
QALY scores associated with one of the symptoms of cryptosporidiosis, vomiting, in studies that looked
at the marginal effect of emesis associated with chemotherapy.
Boutin et al. used a decrement derived from a year of severe pain, 0.0233 (Torrance et al., 1992),
and assumed that patients with mild cryptosporidiosis suffer that level of discomfort for one day, while
patients with moderate and severe cryptosporidiosis are in pain for two weeks. Assuming that 88 percent
of cases are mild, 11 percent are moderate, and 1 percent are severe, the estimates of Boutin et al. imply
an overall QALY loss of 0.002 per case. Since this estimate is based on a definition of severe pain rather
than the specific symptoms of cryptosporidiosis, it is not as likely to be as sensitive to the impacts of
acute effects as the Quality of Well-Being scale used by the FDA.
Havelaar et al. (2000) conducted a cost-effectiveness analysis of the risks and benefits of
disinfecting drinking water with ozonation. Disinfection may cause some cases of renal cell cancer, but
without disinfection, a certain number of individuals are likely to contract cryptosporidiosis. The authors
model the effect of cryptosporidiosis on quality of life in the immunocompetent population by using a
disability-adjusted life year (DALY) for diarrhea. This score, taken from the Global Burden of Disease
study, is generated using the time trade-off method and a panel of experts. The authors also estimate a
more severe DALY in order to model the effect of cryptosporidiosis on the quality of life of
immunocompromised AIDS patients.
DALYs and QALYs use an inverse scale, so a DALY is in some ways analogous to the QALY
decrement. The DALYs used by Havelaar et al. therefore suggest a decrement of 0.054 for the duration
of cryptosporidiosis in the immunocompetent population and 0.16 for AIDS patients. The authors assume
a median duration of 0.016 years and a mortality risk of 0.004 for the immunocompetent population,
versus 0.13 years and a risk of 0.28 for AIDS patients. These scores and durations suggest an overall
annual QALY loss of 0.001 per case.6 However, an estimate based solely on a score for diarrhea may
underestimate the quality of life impact associated with cryptosporidiosis, whose symptoms also include
vomiting, fever, weight loss and dehydration. The Havalaar et al. estimate does not reflect the full range
of cryptosporidiosis symptoms considered in the FDA estimates, for example.
Additionally, some peer-reviewed studies have examined the QALY decrements associated with
chemotherapy, which often causes side effects, some of which are similar to the symptoms of
cryptosporidiosis. Grunberg et al. (1996) surveyed 30 cancer patients using a visual analog scale and
found that the nausea and vomiting caused by chemotherapy had a utility decrement of 0.52. Grunberg et
al. (2002) used the standard gamble approach in 10 individuals without cancer and found that the vomiting
associated with chemotherapy had a utility decrement of 0.315. These studies suggest that this particular
symptom of cryptosporidiosis has a large effect on quality-of life. While there are many differences in
the specific symptoms and baseline health of individuals evaluated in these studies of chemotherapy, in
our view the results of these studies lend further credibility and support to the relatively large quality of
life decrements found by FDA for temporary cases of cryptosporidiosis.
Therefore, based upon review of the health-related literature, the QALY decrements from the
Regulatory Impact Analysis (RIA) of recent bioterrorism rules, promulgated by the Food and Drug
Administration, (21 CFR Parts 1 and 11, 2004) appear to represent the best available estimates of utility
6 This calculation assumes that AIDS patients comprise 0.0001 percent of the general population (see the following web sites:
www.census.gov/popest/national/NA-EST2004-01.html and www.cdc.gov/hiv/stats/2003SurveillanceReport.pdf, Table 5,
accessed February 3, 2005).
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loss due to cryptosporidiosis. The decrements developed in the FDA RIA are applicable because the
descriptions of the severity of the cases in the FDA analysis are similar to the severity descriptions in the
LT2ESWTR benefit-cost analysis (see Exhibit U.3). The slight differences are due to the difference in
data sources-the FDA did not research and employ the data from the Milwaukee outbreak of
cryptosporidiosis because it was a drinking water event only (not directly related to food processing or
distribution). In addition, the cost-of-illness estimates used by the FDA correspond reasonably well to
those used in Chapter 6 of the LT2ESWTR Economic Analysis (EA) benefit-cost analysis. The estimates
of duration from the FDA bioterror analysis differ somewhat from the EPA estimates.
Exhibit U.3: COMPARISON OF CRYPTOSPORIDIOSIS SYMPTOM
DESCRIPTIONS
Days
Impaired
Days
Lost*
Medical
Cost**
Description
LT2ESWTR EA benefit-cost analysis
Mild
4.7
1.3
$3.28
Did not seek medical care.
Moderate
9.4
3.8
$90.56
Doctor or emergency room visit.
Severe
34.0
5.6
$9,405.84
Hospitalization.
FDA Bioterror RIA (2004)
Mild
7.5
na
$39***
Did not seek medical care. Confinement to the bed,
chair, or couch most of the day. Sick or upset stomach,
vomiting or loose bowel movement, with or without
chills, or aching all over; inability to drive or ride in a car
or use public transportation without help; and limited
social activity, though able to perform self-care activities.
Moderate
7.5
na
$39***
Doctor visit. Confinement to the bed, chair, or couch
most of the day. Sick or upset stomach, vomiting or
loose bowel movement, with or without chills, or aching
all over; inability to drive or ride in a car or use public
transportation without help; and limited social activity,
though able to perform self-care activities.
Severe
33.5
na
$9,618.83
Hospitalization. Sick or upset stomach, vomiting or
loose bowel movement, with or without chills, or aching
all over; inability to drive or ride in a car or use public
transportation without help; and limited social activity,
though able to perform self-care activities.
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Notes:
*The category "Days Impaired" includes all days when infection with cryptosporidiosis diminishes an
individual's quality of life. The category "Days Lost" is a subset of "Days Impaired" and represents all days when
an individual is unable to engage in productive activity (paid work, house work, or school work).
**The bioterror RIA does not explicitly report the medical costs associated with a severe case of
cryptosporidiosis. For this reason, the exhibit presents the medical costs reported in the FDA's preliminary juice
RIA (1998), in 2004 dollars (adjusted using the CPI inflation calculator: www.bls.gov/cpi/home.htm, accessed
February 7, 2004
*** Average cost per day is the same between mild and moderate cases, although in moderate cases one feels
unwell for a longer time than in mild cases.
The QALY estimates in the bioterrorism rule use a system called the QWB scale to correlate
symptoms and functional ability with disutility in order to generate quality of life estimates. Each
disutility score quantifies loss of function (mobility, ability to do other physical activity, and ability to
engage in social activities) and severity of symptoms (upset stomach, pain in chest, vomiting, headache,
etc.). The final disutility score is the sum of the functional scores and the symptom/problem score. In
this system, 0 equals perfect health and 1 equals death.
The Quality of Weil-Being Scale is used to generate a quality-of-life score by combining the
impact of functional limitations with the impact of symptoms on quality of life, ultimately weighted by
the duration of time with those symptoms.7 Because of its focus on specific symptoms in addition to
functional limitations, the Quality of Weil-Being Scale is considered by some observers to be well-suited
for analysis of acute effects.8
The QWB Scale also allows for summation of life-year equivalents from non-fatal morbidity
cases avoided across the population. This morbidity-avoidance index can be summed with life years
saved from avoided mortality to yield the index referred to in this CEA and in the RIA for the Final Clean
Air Interstate Rule (CAIR, 2005) as MILYs.
In the bioterror rule analysis, the FDA used its own internal expertise to assign symptoms and
descriptions of functional ability to patients with gastrointestinal illness.9 Experts completed the QWB
based on their knowledge of the symptoms and functional limitations of cryptosporidiosis patients. This
expert judgement process produced QWB-derived QALY decrements of 0.49 for mild and moderate cases
and 0.52 for severe cases (Exhibit U.4).
7 This scoring system is described in more detail in McDowell and Newell (1996), pp. 483-491.
8 According to McDowell and Newell (1996), writing in their summary and critique of abroad range of QALY
scales, the "QWB is ... distinctive in its inclusion of symptoms; this seems to improve its sensitivity to minor
deviations from complete well-being. It may therefore be ideal for evaluating policies in well populations with
minor levels of morbidity" (p. 489).
9 FDA economists developed the QALY scores in consultation with a FDA epidemiologist/clinician.
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Exhibit U.4 Derivation of Quality of Life Index for Foodborne Illness
by Severity Level
Severity of
Illness
Symptom/Functional Loss Category Adjustment
(from QWB Scale)
QALY
Decrement
Symptom
Mobility
Physical
Social
A
B
C
D
E
-(A+B+C+D)
Mild
-0.29
-0.062
-0.077
-0.061
0.49
Moderate
-0.29
-0.062
-0.077
-0.061
0.49
Severe
-0.29
-0.090
-0.077
-0.061
0.52
Abbreviations: QOL= Quality of life
Source: Table 6, FDA Bioterrorism Final Rule 2004, p.71622
The QALY decrement derived in Exhibit U.4 represents the difference in quality of life from
baseline for each day of illness. The decrements are then combined with estimates of the duration by
severity level to produce an equivalent-days unit.10 For example, if 4 days of illness are experienced at a
quality-of-life decrement equal to 0.5, then the cost in equivalent-days is estimated as 2 days, regardless
of the age of the individual. In the LT2ESWTR EA analysis, the values per illness are as follows.
Mild: 4.7 days of illness x 0.49 decrement
Moderate: 9.4 days of illness x 0.49 decrement
Severe: 34 days of illness x 0.52 decrement
Relapses: 2 days of illness x 0.49 decrement
= 2.303 equivalent-days
= 4.606 equivalent-days
= 17.68 equivalent-days
= 0.98 equivalent-days
The EA assumes that 88 percent of cases are mild; 11 percent of cases are moderate; and 1
percent of cases are severe. The EA also assumes that 21 percent of infected individuals have a mild-to-
moderate relapse that lasts 2 days. Weighting these equivalent-days by the percentage of cases yields the
following:
Mild:
Moderate:
Severe:
Relapses (Mild to Moderate):
88% x 2.303 equivalent-days = 2.03 equivalent-days
11% x 4.606 equivalent-days = 0.51 equivalent-days
1% x 17.68 equivalent-days = 0.18 equivalent-days
21% x 0.98 equivalent-days = 0.21 equivalent-days
Combining these assumptions with the FDA decrements, EPA estimates that the QALY loss
associated with an episode of cryptosporidiosis is equivalent to 0.008 of a year (QALY decrement,
weighted by frequency of severity level and duration):
Mild + Moderate + Severe + Relapses = 2.93 equivalent-days = 0.008 QALYs
10 Again, these values are predicated on the assumptions of constant proportionality in trade-offs between quality
and quantity of life, risk neutrality with respect to years of life, and independence between duration and quality of
life as mentioned in Section 1.0 of this document.
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The QALY decrement, then, is a weighted average of the decrease in quality of life and duration
of symptoms for all cases of cryptosporidiosis contracted from drinking water converted into an
equivalent loss of quality-adjusted life years, in this case 2.93 days or 0.008 QALYs. This does not mean
that a person is sick for 2.93 days (as shown above, durations for all severity levels are longer than 2.93
days), but that the expected value loss, on average, for a case of cryptosporidiosis is equivalent to 2.93
days of perfect health.
The estimated loss of 0.008 QALYs per case, based upon the EA estimates of duration and the
FDA bioterror estimates for quality of life decrements, serves as a reasonable estimate of the central
tendency of this measure. Sensitivity of the overall results to the use of this estimate could be considered
around this value. A low estimate could be derived from the EPA Office of Research and Development
data and assumptions (Boutin et al, 1998), yielding a value of 0.002 QALYs. A high estimate could be
derived, using the same FDA quality of life decrements with the FDA's case duration assumptions,
yielding a loss per case of 0.024 QALYs. There is no additional information that could guide estimating
a probability or frequency distribution using these bounds, and hence it would be difficult to conduct a
reasonable uncertainty analysis. As a result, the primary analysis presented below uses only the estimate
of central tendency, the QALY decrement of 0.008.
The next section of this Appendix applies the QALY decrement to all estimated cases of
cryptosporidiosis morbidity that the LT2ESWTR will prevent.
U.2.1.1.2 Applying the QALY decrement to cases of non-fatal morbidity
When using QALY s, discounting of the QALY decrement is necessary only if participants in the
QALY elicitation process considered years gained in the future to be of equal value to those gained in the
present. Whether a QALY decrement has embedded discounting is unclear in the literature, and may vary
with the method of elicitation used. For example, QALY decrements based upon the time-trade off
method of elicitation "...implicitly assume that additional years of life are valued equally, that is, there is
no discounting of health years" (Boardman et al, 1996). However, the issue is unclear in the case of the
QWB-derived decrement used in this CEA. The NAS/IOM panel on CEA conduct is currently
considering this and other issues, on which it may (or may not) reach consensus by publication if its
report, expected in late 2005.
Standard economic theory suggests that benefits occurring in future years should be discounted
relative to benefits occurring in the present. In Circular A-4, OMB presents the following discussion.
When future benefits or costs are health-related, some have questioned whether
discounting is appropriate, since the rationale for discounting money may not appear to
apply to health. It is true that lives saved today cannot be invested in a bank to save more
lives in the future. But the resources that would have been used to save those lives can be
invested to earn a higher payoff in future lives saved. People have been observed to
prefer health gains that occur immediately to identical health gains that occur in the
future. Also, if future health gains are not discounted while future costs are, then the
following perverse result occurs: an attractive investment today in future health
improvement can always be made more attractive by delaying the investment. For such
reasons, there is a professional consensus that future health effects, including both
benefits and costs, should be discounted at the same rate. This consensus applies to both
BCA and CEA. (p. 34)
OMB and EPA guidance documents suggest discount rates of 3 and 7 percent. A 3 percent
discount rate reflects the accepted "social rate of time preference" and is consistent with
Economic Analysis for the LT2ESWTR
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December 2005
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recommendations of both the U.S. Public Health Service Panel on Cost Effectiveness in Health and
Medicine (Gold et al., 1996) and the NAS panel on CEA (Gold et al., 1996). To examine the impact of
the choice of discount rate, EPA also calculates all values of this CEA using a 7 percent rate, consistent
with an "opportunity cost of capital" concept to reflect the time value of resources directed to meet
regulatory requirements. Further discussion of this topic appears in Chapter 7 of Gold et al. (1996) and in
Chapter 6 of the EPA Guidelines for Economic Analysis.
The CEA numerator presented in Section 2.2 is expressed in discounted and annualized costs at 3
percent and 7 percent, as are the number of non-fatal morbidity cases and mortalities used in the
denominator. Regardless of whether elicitees performed any discounting of years saved in development
of the decrement presented for this CEA, discounting does not affect our estimates of the QALY loss
associated with a typical case of cryptosporidiosis, because estimated durations are short, substantially
less than 1 year. If the illness duration were more significant, particularly if more than 1 year, a discount
rate would need to be applied to the period of illness. Because implementation and monitoring costs occur
before any health benefits begin and the costs to install technology are assumed in the analysis to be
incurred the year before benefits accrue, the overall CEA results are sensitive to the discount rate used.
Hence, the cases of cryptosporidiosis have been annualized at 3 percent and 7 percent. To
calculate the number of QALYs saved by each regulatory alternative, the annualized estimate of
cryptosporidiosis cases under pre-regulation conditions is taken from Exhibit 8.3 of the LT2ESWTR EA
and multiplied by the QALY decrement to yield a total estimated number of QALYs due to morbidity:
0.008 QALYs x (annualized cryptosporidiosis cases of morbidity).
These calculations are performed for each alternative and Cryptosporidium occurrence data set,
using each dose response model (low, medium, and high) and annualized cases discounted at 3 percent
and 7 percent. Exhibit U.5 presents the estimated annualized mean number of cases.
Economic Analysis for the LT2ESWTR
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December 2005
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Exhibit U.5a: QALYs for Non-Fatal Morbidity Cases Based on Medium Estimate
Dose Response Model, by Rule Alternative, by Data Set
Data Set
Rule
Alternative
Non-Fatal Morbidity
Cases
QALYs
3%
7%
3%
7%
A
B
C = A* 0.008
D = B * 0.008
ICR
A1
658,780
560,498
5,270
4,484
A2
649,201
552,389
5,194
4,419
A3 - Preferrred
642,126
546,423
5,137
4,371
A4
601,750
512,270
4,814
4,098
ICRSSL
A1
194,741
165,630
1,558
1,325
A2
166,714
141,908
1,334
1,135
A3 - Preferrred
154,145
131,303
1,233
1,050
A4
132,558
113,007
1,060
904
ICRSSM
A1
341,783
290,702
2,734
2,326
A2
316,828
269,580
2,535
2,157
A3 - Preferrred
303,361
258,221
2,427
2,066
A4
266,958
227,366
2,136
1,819
Note: All values are annualized
Source: Columns A, B - Exhibit C. 10
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Exhibit U.5b: QALYs for Non-Fatal Morbidity Cases of Cryptosporidiosis Based
on Low Estimate Dose Response Model, by Rule Alternative, by Data Set
Data Set
Rule
Alternative
Non-Fatal Morbidity
Cases
QALYs
3%
7%
3%
7%
A
B
C = A* 0.008
D = B * 0.008
ICR
A1
245,589
208,901
1,965
1,671
A2
241,564
205,494
1,933
1,644
A3 - Preferrred
238,695
203,075
1,910
1,625
A4
221,812
188,787
1,774
1,510
ICRSSL
A1
77,307
65,731
618
526
A2
64,960
55,279
520
442
A3 - Preferrred
59,661
50,807
477
406
A4
50,778
43,279
406
346
ICRSSM
A1
134,839
114,659
1,079
917
A2
124,084
105,554
993
844
A3 - Preferrred
117,955
100,382
944
803
A4
102,604
87,369
821
699
Note: All values are annualized
Source: Columns A, B - Exhibit C.10
Exhibit U.5c: QALYs for Non-Fatal Morbidity Cases of Cryptosporidiosis Based
on High Estimate Dose Response Model, by Rule Alternative, by Data Set
Data Set
Rule
Alternative
Non-Fatal Morbidity
Cases
QALYs
3%
7%
3%
7%
A
B
C = A* 0.008
D = B * 0.008
ICR
A1
999,560
850,540
7,996
6,804
A2
983,721
837,129
7,870
6,697
A3 - Preferrred
972,018
827,261
7,776
6,618
A4
907,507
772,687
7,260
6,181
ICRSSL
A1
315,339
268,210
2,523
2,146
A2
269,379
229,306
2,155
1,834
A3 - Preferrred
248,909
212,036
1,991
1,696
A4
213,987
182,436
1,712
1,459
ICRSSM
A1
536,374
456,240
4,291
3,650
A2
495,701
421,812
3,966
3,374
A3 - Preferrred
474,103
403,596
3,793
3,229
A4
415,625
354,028
3,325
2,832
Note: All values are annualized
Source: Columns A, B - Exhibit C.10
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U.2.1.2 Life years saved from avoided cases of premature mortality
The denominator combines QALYs for morbidity with life years saved from avoided premature
mortality. The QALY equivalent due to mortality is simply the expected value of years an average
individual would have lived if the cryptosporidiosis had been avoided, aggregated across the population.
First, United States census data (2000) are used to calculate the percentage of population in each
1-year cohort for ages under 1 through 100. Percentages for persons aged 100 and older are grouped
together in the "100 years" cohort.
Next, the net present value (NPV) and annualized number of deaths due to cryptosporidiosis for
the United States population as a whole, using 3 percent and 7 percent discount rates, are taken from
Exhibit 8.3 of the LT2ESWTR EA. Discounting death and illness occurrences is appropriate for the
denominator because, as OMB states, the survey process used to elicit QALY scores from individuals
"implicitly assumes that the fraction of remaining lifespan an individual would give up for an
improvement in health-related quality of life does not depend on the remaining lifespan" (OMB, 2003).
Data available from the Milwaukee cryptosporidiosis outbreak did not differentiate mortality by
age. Inquiries with the study authors yielded no further information on which to base allocation of the
incidence across the population age cohorts. Hence, annualized mortality is allocated across the 101 age
cohorts according to the percentage of population in each, as shown in Exhibits U.6a-d (shown at the end
of this Appendix because of their length). Life expectancy for each cohort, provided by the National
Vital Statistics Reports11, is multiplied by the number of annualized cases avoided in each cohort to
determine the total annualized life years saved within each cohort. The sum for all cohorts is the total life
years saved across the population for the 25-year period:
X, ((Yrs. life expectancy), x (annualized cases in cohort);)
for /' = 1 to 101.
This calculation is performed for each alternative in each Cryptosporidium occurrence data set
using each dose response model. Using the medium dose-response model, a 3 percent discount rate, and
the ICR data set, the annualized life years saved for fatal cases of Cryptosporidiosis was highest for the
most stringent alternative (A1 was approximately 6,200) and lowest for the least stringent alternative (A4
was approximately 5,800). The other two Cryptosporidium occurrence data sets have lower estimates for
life years saved but exhibit the same pattern, as does the same comparison using the low and high dose
response models, and each such combination using a 7 percent discount rate. The complete results are
shown in Exhibits U.6a-d for the medium model and the summarized results are shown in Exhibit U.7 for
the low, medium, and high dose response models.
11 National Vital Statistics Reports, Vol. 51, No. 3, December 29, 2002, "Life table for the total population: United
States, 2000."
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Exhibit U.7a: Life Years Saved for Fatal Cases of Cryptosporidiosis Based on
Medium Estimate Dose Response Model, by Rule Alternative, by Data Set
Data Set
Rule
Alternative
Annualized Life-Years
Saved (years)
3%
7%
A
B
ICR
A1
6,202
5,283
A2
6,132
5,224
A3 - Preferrred
6,081
5,180
A4
5,787
4,932
ICRSSL
A1
1,828
1,557
A2
1,624
1,384
A3 - Preferrred
1,533
1,307
A4
1,376
1,174
ICRSSM
A1
3,209
2,733
A2
3,028
2,580
A3 - Preferrred
2,930
2,497
A4
2,666
2,273
Note: All values are discounted and annualized over the 25 year
period of analysis.
Sources: Columns A,B - Exhibits U.6 a - d, Columns K - P
Exhibit U.7b: Life Years Saved for Fatal Cases of Cryptosporidiosis Based on
Low Estimate Dose Response Model, by Rule Alternative, by Data Set
Data Set
Rule
Alternative
Annualized Life-Years
3%
7%
A
B
ICR
A1
2,290
1,950
A2
45
1,925
A3 - Preferrred
2,240
1,907
A4
2,117
1,804
ICRSSL
A1
718
611
A2
628
535
A3 - Preferrred
590
503
A4
525
448
ICRSSM
A1
1,253
1,067
A2
1,175
1,001
A3 - Preferrred
1,131
963
A4
1,019
869
Note: All values are discounted and annualized over the 25 year
period of analysis.
Sources: Columns A,B - Exhibits U.6 e - h, Columns K - P
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Exhibit U.7c: Life Years Saved for Fatal Cases of Cryptosporidiosis Based on
High Estimate Dose Response Model, by Rule Alternative, by Data Set
Data Set
Rule
Alternative
Annualized Life-Years
3%
7%
A
B
ICR
A1
9,407
8,014
A2
143
7,917
A3 - Preferrred
9,207
7,845
A4
8,738
7,448
ICRSSL
A1
2,957
2,518
A2
2,623
2,235
A3 - Preferrred
2,474
2,110
A4
2,220
1,894
ICRSSM
A1
4,266
3,654
A2
4,062
3,479
A3 - Preferrred
3,960
3,392
A4
3,659
3,134
Note: All values are discounted and annualized over the 25 year
period of analysis.
Sources: Columns A,B - Exhibits U.6 i -1, Columns K - P
U.2.1.3 Annualized MILYs saved from avoided cases of premature mortality and non-fatal
morbidity
As mentioned in Section 1.2 of this Appendix, MILYs is a QALY index that combines mortality
and morbidity benefits in a single cost-effectiveness measure, with an approach that explicitly values all
life years saved at the value of full health (equal to 1.0). MILYs (Exhibit U.8, columns E and F) are
calculated as follows (all values are annualized):
MILYs = (QALYs for non-fatal morbidity cases) + (life years saved from mortality cases).
Estimates of the mean MILYs saved are shown in Exhibit U.8 for the low, medium, and high
dose-response models. Based on the medium dose-response model, using a 3 percent discount rate and
the ICR Cryptosporidium occurrence data set, the combined life years saved (for avoided mortalities) and
quality-adjusted life year equivalents saved (for avoided non-fatal morbidity) is highest in the most
stringent alternative (A1 is approximately 11,500 years) and lowest in the least stringent alternative (A4 is
approximately 10,600). The ICRSSL and ICRSSM data sets exhibit the same pattern, as does this
comparison for each model using a 7 percent discount rate.
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Exhibit U.8a: MILYs for Non-Fatal Morbidity and Mortality Based on Medium
Estimate Dose Response Model, by Rule Alternative, by Data Set
QALYs Saved from
Life-Years Saved
Avoided Non-Fatal
from Avoided
Morbidity
Mortality
MILYs
Data Set
Rule
Alternative
3%
7%
3%
7%
3%
7%
A
B
C
D
E
F
-
-
-
-
A + C
B + D
ICR
A1
5,270
4,484
6,202
5,283
11,472
9,767
A2
5,194
4,419
6,132
5,224
11,326
9,643
A3 - Preferrred
5,137
4,371
6,081
5,180
11,218
9,552
A4
4,814
4,098
5,787
4,932
10,601
9,030
ICRSSL
A1
1,558
1,325
1,828
1,557
3,386
2,882
A2
1,334
1,135
1,624
1,384
2,958
2,520
A3 - Preferrred
1,233
1,050
1,533
1,307
2,766
2,358
A4
1,060
904
1,376
1,174
2,437
2,078
ICRSSM
A1
2,734
2,326
3,209
2,733
5,944
5,059
A2
2,535
2,157
3,028
2,580
5,563
4,736
A3 - Preferrred
2,427
2,066
2,930
2,497
5,357
4,563
A4
2,136
1,819
2,666
2,273
4,801
4,092
Abbreviations: QALYs = Quality Adjusted Life Years, MILYs = Morbidity Inclusive Life Years
Note: All values are discounted and annualized
Sources: Columns A,B: Exhibits U.5, Columns C, D; Columns C,D: Exhibits U.7 a, Columns A, B
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Exhibit U.8b: MILYs for Non-Fatal Morbidity and Mortality Based on Low Estimate
Dose Response Model, by Rule Alternative, by Data Set
QALYs Saved from
Life-Years Saved
Avoided Non-Fatal
from Avoided
Morbidity
Mortality
MILYs
Data Set
Rule
Alternative
3%
7%
3%
7%
3%
7%
A
B
C
D
E
F
-
-
-
-
A + C
B + D
ICR
A1
1,965
1,671
2,290
1,950
4,254
3,621
A2
1,933
1,644
45
1,925
1,977
3,569
A3 - Preferrred
1,910
1,625
2,240
1,907
4,149
3,532
A4
1,774
1,510
2,117
1,804
3,891
3,314
ICRSSL
A1
618
526
718
611
1,336
1,137
A2
520
442
628
535
1,148
977
A3 - Preferrred
477
406
590
503
1,067
909
A4
406
346
525
448
931
794
ICRSSM
A1
1,079
917
1,253
1,067
2,332
1,984
A2
993
844
1,175
1,001
2,168
1,845
A3 - Preferrred
944
803
1,131
963
2,074
1,766
A4
821
699
1,019
869
1,840
1,568
Abbreviations: QALYs = Quality Adjusted Life Years, MILYs = Morbidity Inclusive Life Years
Note: All values are discounted and annualized
Sources: Columns A,B: Exhibits U.5, Columns C, D; Columns C,D: Exhibits U.7 b, Columns A, B
Exhibit U.8c: MILYs for Non-Fatal Morbidity and Mortality Based on High
Estimate Dose Response Model, by Rule Alternative, by Data Set
QALYs Saved from
Life-Years Saved
Avoided Non-Fatal
from Avoided
Morbidity
Mortality
MILYs
Data Set
Rule
Alternative
3%
7%
3%
7%
3%
7%
A
B
C
D
E
F
-
-
-
-
A + C
B + D
ICR
A1
7,996
6,804
9,407
8,014
17,404
14,818
A2
7,870
6,697
143
7,917
8,013
14,614
A3 - Preferrred
7,776
6,618
9,207
7,845
16,983
14,463
A4
7,260
6,181
8,738
7,448
15,998
13,630
ICRSSL
A1
2,523
2,146
2,957
2,518
5,480
4,664
A2
2,155
1,834
2,623
2,235
4,778
4,070
A3 - Preferrred
1,991
1,696
2,474
2,110
4,465
3,806
A4
1,712
1,459
2,220
1,894
3,932
3,354
ICRSSM
A1
4,291
3,650
4,266
3,654
8,557
7,304
A2
3,966
3,374
4,062
3,479
8,028
6,854
A3 - Preferrred
3,793
3,229
3,960
3,392
7,753
6,620
A4
3,325
2,832
3,659
3,134
6,984
5,967
Abbreviations: QALYs = Quality Adjusted Life Years, MILYs = Morbidity Inclusive Life Years
Note: All values are discounted and annualized
Sources: Columns A,B: Exhibits U.5, Columns C, D; Columns C,D: Exhibits U.7 c, Columns A, B
Economic Analysis for the LT2ESWTR
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U.2.2 The CEA Numerator: Deriving Net Cost
U.2.2.1 Identifying costs to be subtracted from regulatory costs
The numerator in any cost-effectiveness calculation is an estimate of the relevant costs to achieve
the change in health state characterized by the effectiveness measure. For environmental decision-
making, regulatory costs of particular options are the appropriate starting point for defining the numerator
in a cost-effectiveness assessment of environmental improvement options. In cases where the benefits of
environmental improvement include the prevention of a broad range of health, ecological, and other
welfare effects, it is necessary to separate health from other costs since only net health costs are relevant
for comparison to a purely health-based effectiveness measure. The major benefits, and the only
quantified benefits, of this rule are health improvements, so no subtraction of costs attributable to other
goals is necessary here.
In medical cost-effectiveness applications, net costs of disease treatment are included in the
numerator for those interventions involving treatment. In the environmental protection context, the
handling of disease treatment costs depends on the scope of the effectiveness measure. If the QALY
score reflects a health state after treatment is administered, then the costs of treatment necessary to
achieve that health state must be subtracted from the regulatory costs to yield the net cost of avoiding a
QALY decrement. In the context of the LT2ESWTR, costs may be incurred to prevent occurrences of
cryptosporidiosis and the associated decrease in quality of life (QALY decrement) and medical treatment
costs to avoid further symptoms or disability (e.g., dehydration). Therefore, the net cost to avoid a QALY
decrement in this case is the regulatory costs minus the medical treatment costs.
There are additional issues that concern the estimation of "net costs" for a given option. For
example, a key question in the cost-effectiveness literature is the treatment of productivity losses
associated with incidence of a health effect. In 1997, the Panel on Cost-Effectiveness in Health and
Medicine published, in the journal Health Economics,12 a paper supporting that lost paid work time that is
a loss to the individual (e.g., lost market compensation, lost ability to complete uncompensated work, and
lost leisure time) might best be assumed to be reflected in a full and complete QALY score. In other
words, elicitees, or experts assessing quality of life for patients, are likely to have considered these effects
in the quality of life score they report.
However, there is still some debate about whether the costs borne by society or the individual that
are related to lost paid work time are fully considered in the elicitation process, and whether these costs
should be subtracted from the CEA numerator. In this CEA, the lost paid work time is subtracted in the
numerator from regulatory costs. This is consistent with the approach used in Appendix G of the CAIR
and reflects continuing uncertainty about the appropriate treatment of costs borne by society and
individuals; some may interpret this as an implicit assumption that elicitees did not consider these costs in
participating in the QWB survey. This decision is consistent with the one other EPA rule (CAIR) that has
included a full QALY -based CEA. Whether lost paid work time is fully accounted for in the QALY
decrement is another issue that may be addressed by the NAS/IOM panel on CEA.
In addition to medical costs, certain other costs are also appropriate to subtract from regulatory
costs in the numerator to make it consistent with the denominator. In the case of the QALY decrement
selected for use in this CEA, elicitees were not asked to consider lost caregiver time or reduced
12 See Milton C. Weinstein, Joanna E. Siegel, Alan M. Garber, Joseph Lipscomb, Bryan R. Luce, Willard G.
Manning, Jr., and George W. Torrance, Productivity Costs, Time Costs and Health-related Quality of Life: A
Response to the Erasmus Group, Health Economics, 6:505-510, 1997.
Economic Analysis for the LT2ESWTR
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productivity while at work (different than a complete absence from work). Thus the QALY decrement
likely did not account for these costs, and they are appropriate to subtract in the numerator from
regulatory costs. Weinstein et al. support the inclusion of reduced productivity while at work in the costs
subtracted from the cost of regulation in the numerator (Weinstein, 1997). In this CEA, reduced
productivity while at work is included only in the approach based upon the Enhanced Cost of Illness
approach (ECOI).
The individual costs that compose cost-of-illness in Ch. 5 of the EA are shown in Exhibit U.9
(columns A and B) at their base year values. The individual costs defined here as appropriate to subtract
from the numerator are shown as the "Cost Adjustment" in columns C and D and include certain lost time
and medical costs, based upon both the ECOI and Traditional Cost of Illness approach (TCOI). The
resulting mean cost adjustment per case is $414.84 (based upon the ECOI) and $250.02 (based upon the
TCOI), inclusive of lost time and medical costs, in 2003$. Section 2.2.2 of this Appendix further
describes the application of these costs.
Exhibit U.9: Cost Adjustment Per Case, Year 2003$
CEA Cost
CEA Cost
ECOI from
TCOI from
Adjustment
Adjustment
Ch. 5 of the
Ch. 5 of the
Per Case
Per Case
Loss Category:
EA
EA
(ECOI)
(TCOI)
A
B
C
D
Total
$ 844.24
$ 274.34
$ 414.84
$ 250.02
Direct Medical Costs1
$ 106.91
$ 106.91
$ 106.91
$ 106.91
Lost Time Subtotal
$ 737.33
$ 167.43
$ 307.93
$ 143.11
Lost Paid Work Days
$ 120.13
$ 120.13
$ 120.13
$ 120.13
Lost Unpaid Work Days
$ 48.64
$ 24.32
-
-
Lost Leisure Time
$ 217.79
-
-
-
Lost Caregiver Days
$ 61.50
$ 22.98
$ 61.50
$ 22.98
Lost Leisure Productivity2
$ 162.98
-
-
-
Lost Work Productivity3
$ 126.29
-
$ 126.29
-
Abbreviations:
ECOI = Enhanced Cost of Illness
TCOI = Traditional Cost of Illness
CEA = Cost Effectiveness Analysis
Footnotes:
1. "Direct Medical Costs" are taken from Chapter 5, and are derived
in Appendices K and L of the LT2ESWTR EA.
2. (Leisure*30%)
3. (SumofWork*30%)
Sources: Columns A,B- Exhibit L.10
U.2.2.2 Calculating costs by year to be subtracted from regulatory costs
As described in more detail in the EA, the value of lost time can increase or decrease over time,
depending on the change in real income. Income growth means that the lost time portion of the cost
adjustment to the numerator per case of illness would increase. Using the changes in income growth
Economic Analysis for the LT2ESWTR
U -23
December 2005
-------
shown in Ch. 5 of the EA (Exhibit 5.21) and derived in Appendix C of the LT2ESWTR, the net income
lost due to illness, and therefore the CEA cost numerator adjustment, is increased over the 25-year period
of analysis. As explained in Ch. 5 of the EA (See "Total Morbidity Cost of Illness" in Section 5.3.1.1),
benefits derived from avoided medical costs are not adjusted for changes in income over time, because
medical costs do not necessarily have a direct or indirect link with income.
The cost adjustment per case is calculated for each year using the following equation:
Yearly Cost Adjustment Per Case =
[(5 + I), x (Previous Year Lost Time Costs),] + $106.91
Where B is the real income increase factor,
/' = year 1 to 25,
Lost Time Costs = Lost Time portion of Cost Adjustment and
$106.91 = Medical Cost portion of the Cost Adjustment.
Each year's calculated Lost Time Costs are then added to the medical costs estimate to yield a
total cost adjustment per case that is specific to each year. Exhibit U. 10 shows the results of these
calculations.
Economic Analysis for the LT2ESWTR
U -24
December 2005
-------
Exhibit U.10: Cost Adjustment per Case, Real Dollars Adjusted Annually
for Income Growth1
%Change in Income
Lost Time
Lost Time
Direct
Cost
Cost
(Real GDP per Capita)
w/Growth
w/Growth
Medical
Adjustment
Adjustment
Year
(B)
Factor (ECOI)
Factor (TCOI)
Costs2
(ECOI)
(TCOI)
A
B
C
D
E
F
G
_
_
(1+B) * Prior Year's Lost Time
_
C + E
D + E
2005
Base Year
$
307.93
$
143.11
$106.91
$
414.84
$
250.02
2006
3.3%
$
318.16
$
147.87
$106.91
$
425.07
$
254.78
2007
2.3%
$
325.62
$
151.34
$106.91
$
432.53
$
258.25
2008
1.9%
$
331.66
$
154.14
$106.91
$
438.57
$
261.05
2009
2.0%
$
338.16
$
157.17
$106.91
$
445.07
$
264.08
2010
2.0%
$
344.82
$
160.26
$106.91
$
451.73
$
267.17
2011
1.8%
$
350.93
$
163.10
$106.91
$
457.84
$
270.01
2012
1.7%
$
356.80
$
165.83
$106.91
$
463.71
$
272.74
2013
1.7%
$
362.76
$
168.60
$106.91
$
469.67
$
275.51
2014
1.7%
$
368.82
$
171.42
$106.91
$
475.73
$
278.33
2015
1.7%
$
375.00
$
174.29
$106.91
$
481.91
$
281.20
2016
1.7%
$
381.29
$
177.21
$106.91
$
488.20
$
284.12
2017
1.7%
$
387.70
$
180.19
$106.91
$
494.61
$
287.10
2018
1.7%
$
394.25
$
183.23
$106.91
$
501.16
$
290.14
2019
1.7%
$
400.93
$
186.34
$106.91
$
507.84
$
293.25
2020
1.7%
$
407.75
$
189.51
$106.91
$
514.66
$
296.42
2021
1.7%
$
414.70
$
192.74
$106.91
$
521.61
$
299.65
2022
1.7%
$
421.77
$
196.02
$106.91
$
528.68
$
302.93
2023
1.7%
$
428.96
$
199.37
$106.91
$
535.87
$
306.28
2024
1.7%
$
436.28
$
202.77
$106.91
$
543.19
$
309.68
2025
1.7%
$
443.73
$
206.23
$106.91
$
550.64
$
313.14
2026
1.7%
$
451.31
$
209.75
$106.91
$
558.22
$
316.66
2027
1.7%
$
459.04
$
213.35
$106.91
$
565.95
$
320.26
2028
1.7%
$
466.90
$
217.00
$106.91
$
573.81
$
323.91
2029
1.7%
$
474.92
$
220.73
$106.91
$
581.83
$
327.64
NPV 3%
$8,475.51
$4,935.54
NPV 7%
$5,529.77
$3,236.89
Annualized 3%
$486.73
$283.44
Annualized 7%
$474.51
$277.76
Footnotes:
1. Annual income growth factor applies to "Lost Time," the value of which increases as income increases; the income growth
factor is not applied to medical costs. 2. "Direct Medical Costs" are also shown in Exhibit 9 of this Appendix and in Chapter 5
of the LT2ESWTR EA, and are derived in Appendices Kand L of the EA.
Sources: Columns B, E - Exhibit L.11
Column C - "Base year" is from Exhibit U.9
U.2.2.3 Deriving total cost adjustment to regulatory costs based upon cases
Having identified which costs to subtract from the numerator and determined what these costs are
per year, the next step multiplies this cost adjustment by the total cases per year. This yields a Total Cost
Adjustment for morbidity and mortality that will be subtracted from regulation costs in the numerator to
provide a net cost numerator. In Exhibits U. 1 la-c, the cost adjustments are increased for real income
increases each year and multiplied by the cases of morbidity and mortality for the three Cryptosporidium
occurrence data sets during the 25-year period of analysis.
Economic Analysis for the LT2ESWTR
U -25
December 2005
-------
First, the number of illnesses and deaths each year are taken from Exhibit 8.3 of the LT2ESWTR
EA, and multiplied by the cost adjustment per case based upon the ECOI and TCOI approaches:
Total Cost Adjustment = (Cases*,c,„ x Cost Adjustment;)
for /' = year 1 to 25,
c = Cryptosporidium occurrence data set, and
n = regulatory alternative.
Next, the NPV and the annualized value of the cost adjustment (based upon the ECOI and TCOI)
are calculated based on the low, medium, and high dose-response models for each alternative and each
Cryptosporidium occurrence data set at a discount rate of 3 percent and 7 percent (12 combinations for
each model). The results indicate that, using a 3 percent discount rate, the ECOI approach, and the ICR
data set, the highest mean Total Cost Adjustment is $337 million (Alternative 1) and the lowest is $308
million (Alternative 4). Alternative A1 is the most stringent alternative and reduces risk to the largest
extent; therefore, it has the highest cost adjustment, which reflects its achievement in avoided lost time
and medical costs. The other Cryptosporidium occurrence data sets (ICRSSM and ICRSSL) show the
same pattern of high/low cost adjustment values, as does the same comparison using the 7 percent
discount rate.
Economic Analysis for the LT2ESWTR
U -26
December 2005
-------
Exhibit U.11a: ICR Cost Adjustment for Non-Fatal Morbidity and Mortality Based
| Alternative |
Year
Mortality
All
Systems
Morbidity
All
Systems
Cost
Adjustment
per Case
(ECOI)
Cost
Adjustment
per Case
(TCOI)
Cost
Adjustment
for Mortality
(ECOI)
Cost
Adjustment
for Mortality
(TCOI)
Cost
Adjustment
for Morbidity
(ECOI)
Cost
Adjustment
for
Morbidity
(TCOI)
Cost
Adjustment
for
Morbidity &
Mortality
(ECOI)
Cost
Adjustment
for
Morbidity &
Mortality
(TCOI)
A
B
d
)
($Millions)
c
D
E
F
G
H
I
J
-
-
-
-
(A * C)/10°
(A * D)/10°
(B * C)/10°
(B * D)/10°
E + G
F + H
<
2005
-
-
$ 415
$ 250
$
$
$
$
$
$
2006
-
-
$ 425
$ 255
$
$
$
$
$
$
2007
-
-
$ 433
$ 258
$
$
$
$
$
$
2008
-
-
$ 439
$ 261
$
$
$
$
$
$
2009
18
82,534
$ 445
$ 264
$ 0.00810
$ 0.00481
$ 36.73
$ 21.80
$ 36.74
$ 21.80
2010
56
254,453
$ 452
$ 267
$ 0.02523
$ 0.01492
$ 114.94
$ 67.98
$ 114.97
$ 68.00
2011
114
519,716
$ 458
$ 270
$ 0.05203
$ 0.03069
$ 237.95
$ 140.33
$ 238.00
$ 140.36
2012
156
718,906
$ 464
$ 273
$ 0.07242
$ 0.04259
$ 333.36
$ 196.07
$ 333.43
$ 196.11
2013
199
920,857
$ 470
$ 276
$ 0.09354
$ 0.05487
$ 432.50
$ 253.70
$ 432.59
$ 253.76
2014
205
953,780
$ 476
$ 278
$ 0.09754
$ 0.05706
$ 453.74
$ 265.46
$ 453.84
$ 265.52
2015
209
978,652
$ 482
$ 281
$ 0.10091
$ 0.05888
$ 471.62
$ 275.19
$ 471.72
$ 275.25
2016
210
984,303
$ 488
$ 284
$ 0.10271
$ 0.05978
$ 480.54
$ 279.66
$ 480.64
$ 279.72
2017
211
989,954
$ 495
$ 287
$ 0.10455
$ 0.06069
$ 489.64
$ 284.22
$ 489.75
$ 284.28
2018
211
989,954
$ 501
$ 290
$ 0.10593
$ 0.06133
$ 496.12
$ 287.23
$ 496.23
$ 287.29
2019
211
989,954
$ 508
$ 293
$ 0.10734
$ 0.06198
$ 502.73
$ 290.30
$ 502.84
$ 290.36
2020
211
989,954
$ 515
$ 296
$ 0.10879
$ 0.06266
$ 509.49
$ 293.44
$ 509.60
$ 293.50
2021
211
989,954
$ 522
$ 300
$ 0.11025
$ 0.06334
$ 516.37
$ 296.64
$ 516.48
$ 296.70
2022
211
989,954
$ 529
$ 303
$ 0.11175
$ 0.06403
$ 523.37
$ 299.89
$ 523.48
$ 299.95
2023
211
989,954
$ 536
$ 306
$ 0.11327
$ 0.06474
$ 530.49
$ 303.20
$ 530.60
$ 303.26
2024
211
989,954
$ 543
$ 310
$ 0.11482
$ 0.06546
$ 537.73
$ 306.57
$ 537.85
$ 306.63
2025
211
989,954
$ 551
$ 313
$ 0.11639
$ 0.06619
$ 545.11
$ 309.99
$ 545.22
$ 310.06
2026
211
989,954
$ 558
$ 317
$ 0.11799
$ 0.06693
$ 552.61
$ 313.48
$ 552.73
$ 313.55
2027
211
989,954
$ 566
$ 320
$ 0.11963
$ 0.06769
$ 560.26
$ 317.04
$ 560.38
$ 317.11
2028
211
989,954
$ 574
$ 324
$ 0.12129
$ 0.06847
$ 568.04
$ 320.65
$ 568.17
$ 320.72
2029
211
989,954
$ 582
$ 328
$ 0.12299
$ 0.06925
$ 575.99
$ 324.35
$ 576.11
$ 324.42
NPV 3%
$ 5,874
$ 3,387
NPV 7%
$ 3,296
$ 1,906
Annualizd 3%
$ 337
$ 194
Annualizd 7%
$ 283
$ 164
CM
<
2005
0
-
$ 415
$ 250
$
$
$
$
$
$
2006
0
-
$ 425
$ 255
$
$
$
$
$
$
2007
0
-
$ 433
$ 258
$
$
$
$
$
$
2008
0
-
$ 439
$ 261
$
$
$
$
$
$
2009
18
81,486
$ 445
$ 264
$ 0.00802
$ 0.00476
$ 36.27
$ 21.52
$ 36.28
$ 21.52
2010
55
251,137
$ 452
$ 267
$ 0.02498
$ 0.01477
$ 113.45
$ 67.10
$ 113.47
$ 67.11
2011
113
512,812
$ 458
$ 270
$ 0.05151
$ 0.03038
$ 234.79
$ 138.46
$ 234.84
$ 138.50
2012
155
709,048
$ 464
$ 273
$ 0.07166
$ 0.04215
$ 328.79
$ 193.38
$ 328.86
$ 193.43
2013
197
907,972
$ 470
$ 276
$ 0.09254
$ 0.05428
$ 426.45
$ 250.15
$ 426.54
$ 250.21
2014
203
940,065
$ 476
$ 278
$ 0.09646
$ 0.05643
$ 447.22
$ 261.64
$ 447.32
$ 261.70
2015
207
964,309
$ 482
$ 281
$ 0.09977
$ 0.05822
$ 464.71
$ 271.16
$ 464.81
$ 271.22
2016
208
969,817
$ 488
$ 284
$ 0.10154
$ 0.05909
$ 473.46
$ 275.54
$ 473.57
$ 275.60
2017
209
975,326
$ 495
$ 287
$ 0.10335
$ 0.05999
$ 482.41
$ 280.02
$ 482.51
$ 280.08
2018
209
975,326
$ 501
$ 290
$ 0.10472
$ 0.06063
$ 488.79
$ 282.98
$ 488.90
$ 283.04
2019
209
975,326
$ 508
$ 293
$ 0.10611
$ 0.06127
$ 495.31
$ 286.01
$ 495.41
$ 286.07
2020
209
975,326
$ 515
$ 296
$ 0.10754
$ 0.06194
$ 501.96
$ 289.10
$ 502.07
$ 289.16
2021
209
975,326
$ 522
$ 300
$ 0.10899
$ 0.06261
$ 508.74
$ 292.25
$ 508.85
$ 292.32
2022
209
975,326
$ 529
$ 303
$ 0.11047
$ 0.06330
$ 515.63
$ 295.46
$ 515.74
$ 295.52
2023
209
975,326
$ 536
$ 306
$ 0.11197
$ 0.06400
$ 522.65
$ 298.72
$ 522.76
$ 298.78
2024
209
975,326
$ 543
$ 310
$ 0.11350
$ 0.06471
$ 529.79
$ 302.04
$ 529.90
$ 302.10
2025
209
975,326
$ 551
$ 313
$ 0.11506
$ 0.06543
$ 537.05
$ 305.41
$ 537.17
$ 305.48
2026
209
975,326
$ 558
$ 317
$ 0.11664
$ 0.06617
$ 544.45
$ 308.85
$ 544.57
$ 308.92
2027
209
975,326
$ 566
$ 320
$ 0.11826
$ 0.06692
$ 551.99
$ 312.35
$ 552.10
$ 312.42
2028
209
975,326
$ 574
$ 324
$ 0.11990
$ 0.06768
$ 559.65
$ 315.92
$ 559.77
$ 315.98
2029
209
975,326
$ 582
$ 328
$ 0.12158
$ 0.06846
$ 567.48
$ 319.55
$ 567.60
$ 319.62
NPV 3%
$ 5,789
$ 3,337
NPV 7%
$ 3,248
$ 1,878
Annualizd 3%
$ 332
$ 192
Annualizd 7%
$ 279
$ 161
Sources: ColumnsA, B- ExhibitC. 10
Columns C, D - Exhibit U.10, Columns F, G
Economic Analysis for the LT2ESWTR
U -27
December 2005
-------
Exhibit U.11a: ICR Cost Adjustment for Non-Fatal Morbidity and Mortality Based on
Cost
Cost
Cost
Adjustment
Adjustment
-------
Exhibit U.11b: ICRSSL Cost Adjustment for Non-Fatal Morbidity and Mortality Based
sponse Model, Alternatives A1 - A2
Cost
Cost
Cost
Adjustment
Adjustment
-------
Exhibit U.11b: ICRSSL Cost Adjustment for Non-Fatal Morbidity and Mortality Based
sponse Model, Alternatives A3 - A4
Cost
Cost
Cost
Adjustment
Adjustment
-------
Exhibit U.11c: ICRSSM Cost Adjustment for Non-Fatal Morbidity and Mortality
ponse Model, Alternatives A1 - A2
Based on
Medium Estimate Dose Res
Cost
Cost
Cost
Adjustment
Adjustment
-------
Exhibit U.11c: ICRSSM Cost Adjustment for Non-Fatal Morbidity and Mortality Based
Cost
Cost
Cost
Adjustment
Adjustment
-------
U.2.2.4 Calculating the net cost numerator
The annualized mean Total Cost Adjustments for each regulatory alternative and
Cryptosporidium occurrence data set are determined in Section 2.2 of this Appendix. As explained
previously, these are the appropriate costs to subtract from the annualized regulatory cost to yield an
annualized net cost numerator for the CEA ratio. Exhibits U. 12a-b subtract these Total Cost Adjustments
from the regulatory costs for each alternative, at 3 percent and 7 percent discount rates, respectively:
Net Annualized Cost = Annualized Cn - Total Annualized Cost Adjustment,,,,
where C = total regulatory compliance cost,
n = regulatory alternative, and
c = Cryptosporidium occurrence data set.
Using a 3 percent discount rate, the ECOI approach, and the ICR Cryptosporidium occurrence
data set, the lowest mean Net Cost is associated with the least stringent alternative (A4 = $<23 8> million)
and the highest with the most stringent (A1 = $55 million) (Exhibit U.12a). The other Cryptosporidium
occurrence data sets (ICRSSM and ICRSSL) show the same pattern of net cost values, as does the same
comparison using the 7 percent discount rate. Results using a discount rate of 7 percent are shown in
Exhibit U.12b.
Exhibit U.12a: Net Cost Based on Medium Estimate Dose Response Model, by
Rule Alternative, by Data Set, 3% Discount Rate
Data Set
Rule
Alternative
Cost
Cost
Adjustment
(ECOI)
Cost
Adjustment
(TCOI)
Net Cost
(ECOI)
Net Cost
(TCOI)
(Million $)
A
B
C
D
E
-
-
-
A-B
>
O
ICR
A1
$ 392
$ 337
$ 194
LO
LO
$ 198
A2
$ 153
$ 332
$ 192
$ (179)
$ (39)
A3 - Preferrred
$ 123
$ 329
$ 190
$ (206)
CD
CD.
A4
$ 70
$ 308
$ 178
$ (238)
$ (107)
ICRSSL
A1
$ 392
$ 100
h-
LO
$ 293
$ 335
A2
$ 113
LO
00
$ 49
00
CM
CD
A3 - Preferrred
$ 83
$ 79
$ 45
|$ 4
N-
CO
A4
$ 47
00
CD
$ 39
$ (21)
$ 8
ICRSSM
A1
$ 392
$ 175
$ 101
$ 217
$ 291
A2
$ 127
$ 162
$ 94
$ (35)
CO
CO
A3 - Preferrred
$ 96
$ 155
$ 90 | $ (60)
$ 6
A4
LO
$ 137
$ 79 | $ (82)
$ (24)
Abbreviation: ECOI = Enhanced Cost of Illness, TCOI = Traditional Cost of Illness
Note: All values are discounted and annualized
Sources: Column A - Exhibit 8.11, Column I
Columns B, C - Exhibits U.11 a - c, Columns I, J
Economic Analysis for the LT2ESWTR
U -33
December 2005
-------
Exhibit U.12b: Net Cost Based on Medium Estimate Dose Response Model, by
Rule Alternative, by Data Set, 7% Discount Rate
Data Set
Rule
Alternative
Cost
Cost
Adjustment
(ECOI)
Cost
Adjustment
(TCOI)
Net Cost
(ECOI)
Net Cost
(TCOI)
(Million $)
A
B
C
D
E
-
-
-
A-B
>
O
ICR
A1
$ 423
$ 283
$ 164
$ 141
$ 260
A2
$ 169
$ 279
$ 161
$ (110)
$ 8
A3 - Preferrred
$ 137
$ 276
$ 159
$ (138)
CM
CM,
A4
o
00
$ 258
$ 149
$ (179)
$ (70)
ICRSSL
A1
$ 423
00
00
$ 340
$ 375
A2
$ 126
CM
h-
$ 41
LO
00
A3 - Preferrred
$ 94
CD
CD
00
CO
N-
CM
LO
LO
A4
LO
LO
N-
LO
CO
CO
$ (2)
CM
CM
ICRSSM
A1
$ 423
$ 147
$ 85
$ 277
$ 339
A2
$ 141
$ 136
$ 79
$ 5
CM
CD
A3 - Preferrred
$ 108
$ 130
LO
h-
CM
CM,
CO
CO
A4
$ 62
$ 115
$ 66 | $ (52)
$ (4)
Abbreviation: ECOI = Enhanced Cost of Illness, TCOI = Traditional Cost of Illness
Note: All values are discounted and annualized
Sources: Column A - Exhibit 8.11, Column L
Columns B, C - Exhibits U.11 a - c, Columns I, J
U.2.3 The CEA Ratio
The CEA ratio describes the average cost per MILY saved by each regulatory alternative. In
Exhibits U. 13a-f, the net cost estimates developed in Section 2.2 (for each dose response model,
regulatory alternative, and Cryptosporidium occurrence data set) are divided by the MILYs saved (by
each alternative within each data set).
Many of the CEA ratios have negative costs per MILY saved, which is a normal result of
monetized benefits exceeding costs (OMB, 2003). The lowest cost per MILY is always associated with
the least stringent alternative and the highest with the most stringent alternative. For example, using the
medium dose-response model, the ICR Cryptosporidium occurrence data set, the ECOI approach, and a 3
percent discount rate, A1 (the least stringent alternative) is approximately $5,000 per MILY and A4 (the
most stringent alternative) is approximately <$22,000> per MILY (shown as "cost saving" in Exhibit
U.13a).
An incremental CEA provides further information in the form of how much additional benefit is
gained per unit cost expended from one alternative to the next. Although the U.S. Public Health Service
Panel on Cost Effectiveness in Health and Medicine did not recommend a cost-effectiveness threshold for
generalized use, it may be useful to identify cost thresholds that some have used in comparing life saving
or quality-of-life-improving interventions. The Harvard Cost Utility Analysis database presents a median
cost-utility ratio of $31,000 per QALY (or MILY) (2002$) for respiratory and cardiovascular
Economic Analysis for the LT2ESWTR
U -34
December 2005
-------
interventions, while Tengs et al. (1995) report a median cost per life-year saved for life-saving
interventions of $48,000 (1993$). The health economics literature often uses either $50,000 or $100,000
per QALY (or MILY) as a threshold with ratios less than these values considered prima facie cost
effective. However, it is important to recognize that these thresholds are arbitrary values, often derived
by reference to the cost per QALY (or MILY) for interventions that public health specialists agree are
justified. In general, EPA recommends that decisions as to whether a specific control strategy is justified
should be based on a complete comparison of benefits and costs.
In this CEA, the incremental gain (in MILYs) of the first alternative (in a series of increasingly
stringent alternatives) is equivalent to the CEA ratio and captures the large amount of benefits achieved
by having a rule. The differences between the rule alternatives are quite narrow by comparison. In
comparing the incremental gain per expenditure for the remaining three alternatives in Exhibits U.14a-b,
the Preferred Alternative is the only one that is lower (better than) a prima facie threshold of $50,000 per
MILY, and this occurs only for the ICRSSM data set. Using the ICR data set, the incremental ratio for
the Preferred Alternative is also close to the threshold at about $52,000. Assuming a threshold of
$100,000, several other combinations (of data sets, discount rates, and cost adjustment approaches) are
close, but the Preferred Alternative is lower (better) under each combination except for the ICRSSL data
set using a 7 percent discount rate.
An additional analysis that can be performed is a breakeven analysis, which calculates the
maximum rule cost that would break even with these prima facie thresholds. This analysis uses the same
thresholds described above of $50,000 and $100,000 per MILY, and uses the MILYs calculated in
Section 2.1.3 of this Appendix (using a 3 percent discount rate as an example). Under all 24 options
except one, the rule costs are lower (in most cases much lower) than these thresholds. One option—
Alternative Al under the ICRSSL data set—does not break even with a $50,000 per MILY threshold
(Exhibits U.15a-b).
Economic Analysis for the LT2ESWTR
U -35
December 2005
-------
Exhibit U.13a: Cost Effectiveness Analysis, by Rule Alternative Based on Medium
Estimate Dose Response Model, by Data Set, 3% Discount
Data Set
Rule
Alternative
Net Cost
(ECOI)
Net Cost
(TCOI)
MILYs
Dollars per
MILY
(ECOI)
Dollars per
MILY (TCOI)
(Million $)
(Years)
($)
A
B
C
D
E
-
-
-
A* 106/C
B* 106/C
ICR
A1
$ 55
$ 198
11,472
$ 4,789
$ 17,241
A2
$ (179)
$ (39)
11,326
cost saving
cost saving
A3 - Preferred
$ (206)
CD
CD.
11,218
cost saving
cost saving
A4
$ (238)
$ (107)
10,601
cost saving
cost saving
ICRSSL
A1
$ 293
$ 335
3,386
$ 86,424
$ 98,897
A2
00
CM
$ 64
2,958
$ 9,299
$ 21,518
A3 - Preferred
$ 4
h-
co
2,766
$ 1,342
$ 13,420
A4
$ (21)
$ 8
2,437
cost saving
$ 3,291
ICRSSM
A1
$ 217
$ 291
5,944
$ 36,566
$ 49,037
A2
$ (35)
$ 33
5,563
cost saving
$ 5,981
A3 - Preferred
$ (60)
$ 6
5,357
cost saving
$ 1,138
A4
$ (82)
$ (24)
4,801
cost saving
cost saving
Abbreviations: QALY = Quality Adjusted Life Years, MILYs = Morbidity Inclusive Life Years
Note: All values are discounted and annualized
Sources: Columns A,B - Exhibits U.12 a - b, Columns D, E; Column C - Exhibit U.8 a-c, Columns E, F
Economic Analysis for the LT2ESWTR
U -36
December 2005
-------
Exhibit U.13b: Cost Effectiveness Analysis, by Rule Alternative Based on Low
Estimate Dose Response Model, by Data Set, 3% Discount Rate
Data Set
Rule
Alternative
Net Cost
(ECOI)
Net Cost
(TCOI)
MILYs
uoiiars per
MILY
(ECOI)
Dollars per
MILY (TCOI)
(Million $)
(Years)
($)
A
B
C
D
E
-
-
-
A * 10°/C
B * 10°/C
ICR
A1
$ 267
$ 320
4,254
$ 62,646
$ 75,165
A2
$ 29
CM
00
1,977
$ 14,836
$ 41,327
A3 - Preferred
$ 1
CO
LO
4,149
$ 226
$ 12,701
A4
CO
$ 5
3,891
cost saving
$ 1,260
ICRSSL
A1
$ 353
$ 370
1,336
$ 263,970
$ 276,517
A2
o
00
$ 94
1,148
$ 69,348
$ 81,618
A3 - Preferred
CM
LO
$ 65
1,067
$ 48,806
$ 60,927
A4
$ 21
CM
CO
931
$ 22,705
$ 34,520
ICRSSM
A1
$ 323
$ 353
2,332
$ 138,642
$ 151,183
A2
CO
CD
$ 90
2,168
$ 29,183
$ 41,597
A3 - Preferred
$ 35
$ 61
2,074
$ 16,993
$ 29,323
A4
$ 2
CM
1,840
$ 995
$ 13,084
Abbreviations: QALY = Quality Adjusted Life Years, MILYs = Morbidity Inclusive Life Years
Note: All values are discounted and annualized
Sources: Columns A,B - Exhibits U.12 a - b, Columns D, E; Column C - Exhibit U.8 a-c, Columns E, F
Exhibit U.13c: Cost Effectiveness Analysis, by Rule Alternative Based on High
Estimate Dose Response Model, by Data Set, 3% Discount Rate
Data Set
Rule
Alternative
Net Cost
(ECOI)
Net Cost
(TCOI)
MILYs
uoiiars per
MILY
(ECOI)
Dollars per
MILY (TCOI)
(Million $)
(Years)
($)
A
B
C
D
E
-
-
-
A * 10°/C
B * 10°/C
ICR
A1
$ (120)
$ 97
17,404
cost saving
$ 5,585
A2
$ (351)
$ (137)
8,013
cost saving
cost saving
A3 - Preferred
$ (375)
$ (164)
16,983
cost saving
cost saving
A4
$ (394)
$ (197)
15,998
cost saving
cost saving
ICRSSL
A1
$ 231
$ 299
5,480
$ 42,135
$ 54,616
A2
LO
CM,
$ 33
4,778
cost saving
$ 6,980
A3 - Preferred
LO
$ 9
4,465
cost saving
$ 2,050
A4
CM
CD.
$ (16)
3,932
cost saving
cost saving
ICRSSM
A1
$ 118
$ 234
8,557
$ 13,753
$ 27,346
A2
$ (127)
$ (20)
8,028
cost saving
cost saving
A3 - Preferred
$ (147)
$ (44)
7,753
cost saving
cost saving
A4
$ (158)
CO
CD,
6,984
cost saving
cost saving
Abbreviations: QALY = Quality Adjusted Life Years, MILYs = Morbidity Inclusive Life Years
Note: All values are discounted and annualized
Sources: Columns A,B - Exhibits U.12 a - b, Columns D, E; Column C - Exhibit U.8 a-c, Columns E, F
Economic Analysis for the LT2ESWTR
U -37
December 2005
-------
Exhibit U.13d: Cost Effectiveness Analysis, by Rule Alternative Based on
Medium Estimate Dose Response Model, by Data Set, 7% Discount Rate
Data Set
Rule
Alternative
Net Cost
(ECOI)
Net Cost
(TCOI)
MILYs
Dollars per
MILY
(ECOI)
Dollars per
MILY
(TCOI)
(Million $)
(Years)
($)
A
B
C
D
E
-
-
-
A* 106/C
B* 106/C
ICR
A1
$ 141
$ 260
9,767
$ 14,392
$ 26,608
A2
$ (110)
$ 8
9,643
cost saving
$ 795
A3 - Preferred
$ (138)
CM
CM,
9,552
cost saving
cost saving
A4
$ (179)
$ (70)
9,030
cost saving
cost saving
ICRSSL
A1
$ 340
$ 375
2,882
$ 117,942
$ 130,177
A2
LO
$ 84
2,520
$ 21,479
$ 33,465
A3 - Preferred
N-
CM
LO
LO
2,358
$ 11,648
$ 23,496
A4
$ (2)
CM
CM
2,078
cost saving
$ 10,406
ICRSSM
A1
$ 277
$ 339
5,059
$ 54,711
$ 66,945
A2
$ 5
CM
CD
4,736
$ 996
$ 13,112
A3 - Preferred
CM
C\J_
CO
CO
4,563
cost saving
$ 7,127
A4
CM
$ (4)
4,092
cost saving
cost saving
Abbreviations: QALY = Quality Adjusted Life Years, MILYs = Morbidity Inclusive Life Years
Note: All values are discounted and annualized
Sources: Columns A,B - Exhibits U.12 a - b, Columns D, E; Column C - Exhibit U.8 a-c, Columns E, F
Economic Analysis for the LT2ESWTR
U -38
December 2005
-------
Exhibit U.13e: Cost Effectiveness Analysis, by Rule Alternative Based on Low
Estimate Dose Response Model, by Data Set, 7% Discount Rate
Data Set
Rule
Alternative
Net Cost
(ECOI)
Net Cost
(TCOI)
MILYs
Dollars per
MILY
(ECOI)
Dollars per
MILY
(TCOI)
(Million $)
(Years)
($)
A
B
C
D
E
-
-
-
A* 107C
B * 107C
ICR
A1
$ 318
$ 362
3,621
$ 87,814
$ 100,095
A2
$ 65
$ 109
3,569
$ 18,248
$ 30,505
A3 - Preferred
LO
CO
00
h-
3,532
$ 9,887
$ 22,125
A4
$ (15)
LO
CM
3,314
cost saving
$ 7,501
ICRSSL
A1
$ 390
$ 404
1,137
$ 343,263
$ 355,572
A2
$ 98
$ 110
977
$ 100,080
$ 112,117
A3 - Preferred
00
CD
$ 79
909
$ 74,863
$ 86,753
A4
CO
CO
CM
794
$ 41,241
$ 52,831
ICRSSM
A1
$ 366
$ 390
1,984
$ 184,254
$ 196,557
A2
h-
00
$ 110
1,845
$ 47,410
$ 59,587
A3 - Preferred
N-
LO
$ 79
1,766
$ 32,383
$ 44,478
A4
$ 18
h-
co
1,568
$ 11,705
$ 23,564
Abbreviations: QALY = Quality Adjusted Life Years, MILYs = Morbidity Inclusive Life Years
Note: All values are discounted and annualized
Sources: Columns A,B - Exhibits U.12 a - b, Columns D, E; Column C - Exhibit U.8 a-c, Columns E, F
Exhibit U.13f: Cost Effectiveness Analysis, by Rule Alternative Based on High
Estimate Dose Response Model, by Data Set, 7% Discount Rate
Dollars per
Dollars per
Net Cost
Net Cost
MILY
MILY
(ECOI)
(TCOI)
MILYs
(ECOI)
(TCOI)
(Million $)
(Years)
($)
Rule
A
B
C
D
E
Data Set
Alternative
-
-
-
A* 107C
B* 107C
A1
$ (6)
$ 175
14,818
cost saving
$ 11,827
ICR
A2
$ (254)
LO
14,614
cost saving
cost saving
A3 - Preferred
$ (280)
$ (104)
14,463
cost saving
cost saving
A4
$ (310)
$ (145)
13,630
cost saving
cost saving
A1
$ 288
$ 345
4,664
$ 61,780
$ 74,023
ICRSSL
A2
$ 10
$ 59
4,070
$ 2,463
$ 14,454
A3 - Preferred
$ (13)
CM
CO
3,806
cost saving
$ 8,369
A4
$ (37)
$ 1
3,354
cost saving
$ 412
A1
$ 193
$ 290
7,304
$ 26,455
$ 39,752
ICRSSM
A2
CM
$ 18
6,854
cost saving
$ 2,581
A3 - Preferred
$ (96)
$ (10)
6,620
cost saving
cost saving
A4
$ (116)
$ (41)
5,967
cost saving
cost saving
Abbreviations: QALY = Quality Adjusted Life Years, MILYs = Morbidity Inclusive Life Years
Note: All values are discounted and annualized
Sources: Columns A,B - Exhibits U.12 a - b, Columns D, E; Column C - Exhibit U.8 a-c, Columns E, F
Economic Analysis for the LT2ESWTR
U -39
December 2005
-------
Exhibit U.14a: Incremental Cost Effectiveness Analysis Based on Medium
Estimate Dose Response Model, by Data Set, Rule Alternative, 3% Discount Rate
Data
Set
Rule
Alternative
Net Cost
(ECOI)
Net Cost
(TCOI)
MILYs
Incremental
Net Cost
(ECOI)
Incremental
Net Cost
(TCOI)
Incremental
MILYs
Incremental
Dollars per
MILY
(ECOI)
Incremental
Dollars per
MILY
(TCOI)
(Million $)
(Y ears)
(Million $)
(Years)
($)
A
B
C
D
E
F
G
H
-
-
-
Ai " Ajn.-i)
- B(n-1)
Cn " ^(n-1)
D/F
E/F
ICR
A4
$ (238)
$ (107)
10,601
$ (238)
$ (107)
10,601
$ (22,422)
$ (10,116)
A3 - Preferred
$ (206)
$ (66)
11,218
$ 32
$ 41
616
$ 52,030
$ 66,265
A2
$ (179)
$ (39)
11,326
$ 26
$ 28
108
$ 242,932
$ 257,185
A1
$ 55
$ 198
11,472
$ 234
$ 236
146
$ 1,602,251
$ 1,616,480
ICRSSL
A4
$ (21)
$ 8
2,437
$ (21)
$ 8
2,437
$ (8,497)
$ 3,291
A3 - Preferred
$ 4
$ 37
2,766
$ 24
$ 29
330
$ 74,084
$ 88,307
A2
$ 28
$ 64
2,958
$ 24
$ 27
192
$ 124,004
$ 138,252
A1
$ 293
$ 335
3,386
$ 265
$ 271
428
$ 619,373
$ 633,603
ICRSSM
A4
$ (82)
$ (24)
4,801
$ (82)
$ (24)
4,801
$ (17,142)
$ (5,089)
A3 - Preferred
$ (60)
$ 6
5,357
$ 23
$ 31
556
$ 40,707
$ 54,930
A2
$ (35)
$ 33
5,563
$ 24
$ 27
206
$ 117,939
$ 132,189
A1
$ 217
$ 291
5,944
$ 253
$ 258
381
$ 663,170
$ 677,400
Exhibit U.14b: Incremental Cost Effectiveness Analysis Based on Medium
Estimate Dose Response Model, by Data Set, Rule Alternative, 7% Discount Rate
Incremental
Incremental
Incremental
Incremental
Dollars per
Dollars per
Net Cost
Net Cost
Net Cost
Net Cost
Incremental
MILY
MILY
(ECOI)
(TCOI)
MILYs
(ECOI)
(TCOI)
MILYs
(ECOI)
(TCOI)
Data
Set
Rule
Alternative
(Million $)
(Y ears)
(Million $)
(Years)
($)
A
B
C
D
E
F
G
H
-
-
-
Ai " A(n-1)
- B(n-1)
Cn " ^(n-1)
D/F
E/F
ICR
A4
$ (179)
$ (70)
9,030
$ (179)
$ (70)
9,030
$ (19,768)
$ (7,697)
A3 - Preferred
$ (138)
$ (22)
9,552
$ 40
$ 47
521
$ 77,091
$ 91,067
A2
$ (110)
$ 8
9,643
$ 28
$ 30
91
$ 311,969
$ 325,966
A1
$ 141
$ 260
9,767
$ 250
$ 252
124
$ 2,022,858
$ 2,036,829
ICRSSL
A4
$ (2)
$ 22
2,078
$ (2)
$ 22
2,078
$ (1,158)
$ 10,406
A3 - Preferred
$ 27
$ 55
2,358
$ 30
$ 34
279
$ 106,923
$ 120,887
A2
$ 54
$ 84
2,520
$ 27
$ 29
162
$ 164,628
$ 178,621
A1
$ 340
$ 375
2,882
$ 286
$ 291
362
$ 788,755
$ 802,728
ICRSSM
A4
$ (52)
$ (4)
4,092
$ (52)
$ (4)
4,092
$ (12,775)
$ (952)
A3 - Preferred
$ (22)
$ 33
4,563
$ 30
$ 36
471
$ 63,328
$ 77,292
A2
$ 5
$ 62
4,736
$ 27
$ 30
173
$ 156,582
$ 170,577
A1
$ 277
$ 339
5,059
$ 272
$ 276
323
$ 843,310
$ 857,283
Abbreviations: MILYs = Morbidity Inclusive Life Years
Notes: 1) The formula for incremental cost per MIL Y in columns F and G is different than shown for the first incremental
value, which is just the value itself. For example, the incremental cost of A4 in the ICR dataset is the cost per MTLY, or <$19,768>.
2) All values are discounted and annualized
Sources: Columns A,B - Exhibits V. 12 a - b, Columns D, E
Column C - Exhibit V.8, Columns E, F
Economic Analysis for the LT2ESWTR
U -40
December 2005
-------
Exhibit U.15a: Breakeven Analysis for Rule Net Cost Based on Medium Estimate
Dose Response Model, Assuming $50,000 Threshold, by Data Set, by Rule
Alternative, 3% Discount Rate
Data Set
Rule
Alternative
MILYs
(years)
(3%)
Breakeven Value
Assuming
$50,000/MILY
Threshold
Net Cost
(ECOI)
Net Cost
(TCOI)
(Million $)
A
U
C
U
-
$50,000*E/10°
-
-
ICR
A1
11,472
574
55
198
A2
11,326
566
(179)
(39)
A3 - Preferrred
11,218
561
(206)
(66)
A4
10,601
530
(238)
(107)
ICRSSL
A1
3,386
169
293
335
A2
2,958
148
28
64
A3 - Preferrred
2,766
138
4
37
A4
2,437
122
(21)
8
ICRSSM
A1
5,944
297
217
291
A2
5,563
278
(35)
33
A3 - Preferrred
5,357
268
(60)
6
A4
4,801
240
(82)
(24)
Exhibit U.15b: Breakeven Analysis for Rule Net Cost Based on Medium Estimate
Dose Response Model, Assuming $100,000 Threshold, by Data Set, by Rule
Alternative, 3% Discount Rate
Data Set
Rule
Alternative
MILYs
(years)
(3%)
Breakeven Value
Assuming
$50,000/MILY
Threshold
Net Cost
(ECOI)
Net Cost
(TCOI)
(Million $)
A
B
C
D
-
$100,000*E/10o
-
-
ICR
A1
11,472
1,147
55
198
A2
11,326
1,133
(179)
(39)
A3 - Preferrred
11,218
1,122
(206)
(66)
A4
10,601
1,060
(238)
(107)
ICRSSL
A1
3,386
339
293
335
A2
2,958
296
28
64
A3 - Preferrred
2,766
277
4
37
A4
2,437
244
(21)
8
ICRSSM
A1
5,944
594
217
291
A2
5,563
556
(35)
33
A3 - Preferrred
5,357
536
(60)
6
A4
4,801
480
(82)
(24)
Abbreviations: QALYs = Quality Adjusted Life Years, MILYs = Morbidity Inclusive Life Years
Note: All values are discounted and annualized
Sources: Column A: Exhibit V.8, Columns E
Columns C,D: Exhibits V.6 a - d: Columns K-P
Economic Analysis for the LT2ESWTR
U -41
December 2005
-------
U.3 Conclusions
As expected, those CEA ratios representing the most protective alternatives have the highest cost
per MILY. In 20 out of 36 possible combinations of discount rates, cost adjustments and
Cryptosporidium occurrence data sets, alternatives A2, A3, and A4 could be described as cost effective
without considering a prima facie threshold of cost per QALY (or MILY). In those cases the costs are
negative—the savings for medical care and lost time are larger than the regulatory costs. The cost per
MILY for the Preferred Alternative using the medium dose-response model is considerably lower than all
three thresholds described in Section 2.3 of this Appendix (for every combination of discount rate, cost
adjustments, and Cryptosporidium occurrence data set) (Exhibit U.13).
The incremental analysis shows that the Preferred Alternative is the only one (of alternatives Al,
A2, and A3) that costs less than the prima facie threshold of $50,000/MILY (not considering alternative
A4, for the reasons described in Section 2.3) (Exhibits U. 14a-b). Using a prima facie threshold of
$100,000/MILY, the Preferred Alternative (A3) is cost effective in 10 of the 12 possible combinations (of
discount rate, cost adjustments, and Cryptosporidium occurrence data set), but neither of the other
alternatives (Al or A2) is lower in any combination.
A breakeven analysis was also performed (Exhibits U.15a-b). The analysis shows the maximum
(net) values that the rule could cost and still break even with a $50,000/MILY or $100,000/MILYprima
facie threshold. In 46 of 48 possible combinations (of Cryptosporidium occurrence data set, COI
approach, and discount rate), the Net Cost estimates are below these thresholds (the exception being
alternative Al under the ICRSSL data set).
In the health field, where QALYs were originally developed, a common usage for CEA measures
is as an entry in a "league table" that ranks the relative cost-effectiveness of multiple interventions. The
main difficulty in constructing such a table is ensuring consistency of methodology in all the values being
compared. The variation in QALY decrements renders comparisons across rulemakings difficult to the
extent that disparate QALY decrements are used, as discussed in Section 1.0 of this document. The
NAS/IOM panel, as described in Section 1.0, will attempt to provide recommendations on the conduct of
CEA for regulatory health interventions across the Federal government in its report, expected in late
2005. Presently it would be difficult to provide entirely consistent comparisons to other health and
medical interventions as part of the EA for this rule.13
To summarize, while QALYs are used extensively in the economic evaluation of medical
interventions (Gold et al., 1996), they have not been widely used in evaluating environmental health
regulations. A number of specific issues arise with the use of QALYs in evaluating environmental
programs that affect a broad and heterogeneous population and that provide both health and nonhealth
benefits. The U.S. Public Health Service report on cost-effectiveness in health and medicine notes the
following:
For decisions that involve greater diversity in interventions and the people to whom they
apply, cost-effectiveness ratios continue to provide essential information, but that
information must, to a greater degree, be evaluated in light of circumstances and values
that cannot be included in the analysis. Individuals in the population will differ widely in
their health and disability before the intervention, or in age, wealth, or other
characteristics, raising questions about how society values gains for the more and less
13 For more detail on the use of CEA results, see Chapter 10 in, "Prevention Effectiveness: A Guide to Decision
Analysis and Economic Evaluation." Second Edition. Anne C. Haddix, Steven M. Teutsch, and Phaedra S. Corso,
editors. New York: Oxford University Press, 2003.
Economic Analysis for the LT2ESWTR
U -42
December 2005
-------
healthy, for young and old, for rich and poor, and so on. The assumption that all QALYs
are of equal value is less likely to be reasonable in this context. (Gold et al., 1996, p. 11)
Use of QALYs as a measure of effectiveness for environmental regulations is still developing,
and while this analysis provides one framework for using QALYs to evaluate environmental regulations,
there are clearly many issues, both scientific and ethical, that need to be addressed with additional
research. The IOM panel evaluating QALYs and other effectiveness measures will attempt to develop
criteria for choosing among the measures that will potentially be useful in regulatory impact analysis;
make recommendations regarding measures appropriate for assessing the health benefits of regulatory
interventions; and propose criteria for identifying regulations for which CEA is appropriate and
informative. However, it remains uncertain when consensus on the applicability of the QALY approach
to environmental regulations, and the appropriate methodology for doing so, will be reached.
Economic Analysis for the LT2ESWTR
U -43
December 2005
-------
Exhibit U.6a: Annualized Life-Years Saved Based on Medium Estimate Dose
Response Model, Alternative A1, by Data Set
Age Group
U.S.
Population
% Population
(Percent)
Annualized Deaths Avoided, 3%
Discount
Annualized Deaths Avoided,
7% Discount
Life
Expectancy
(years)
Annualized Life-Years Saved,
3% Discount (years)
Annualized Life-Years Saved,
7% Discount (years)
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
TOTAL
281,421,906
1.00
141.2
41.6
73.1
120.3
35.4
62.2
6,202
1,828
3,209
5,283
1,557
2,733
_
_
(B / 281,421,906)
C * 141.2
C * 41.6
C * 73.1
C* 120.3
C * 35.4
C * 62.2
_
D * J
E * J
F * J
G * J
H * J
I * J
Under 1 year
3,805,648
0.0135
1.91
0.56
0.99
1.63
0.48
0.84
76.9
146.8
43.3
76.0
125.1
36.9
64.7
1 year
3,820,582
0.0136
1.92
0.57
0.99
1.63
0.48
0.84
76.4
146.5
43.2
75.8
124.8
36.8
64.5
2 years
3,790,446
0.0135
1.90
0.56
0.98
1.62
0.48
0.84
75.4
143.4
42.3
74.2
122.2
36.0
63.2
3 years
3,832,799
0.0136
1.92
0.57
1.00
1.64
0.48
0.85
74.5
143.3
42.2
74.1
122.0
36.0
63.1
4 years
3,926,323
0.0140
1.97
0.58
1.02
1.68
0.49
0.87
73.5
144.8
42.7
74.9
123.3
36.3
63.8
5 years
3,965,103
0.0141
1.99
0.59
1.03
1.69
0.50
0.88
72.5
144.2
42.5
74.6
122.9
36.2
63.6
6 years
4,019,705
0.0143
2.02
0.59
1.04
1.72
0.51
0.89
71.5
144.2
42.5
74.6
122.8
36.2
63.6
7 years
4,118,147
0.0146
2.07
0.61
1.07
1.76
0.52
0.91
70.5
145.7
42.9
75.4
124.1
36.6
64.2
8 years
4,179,230
0.0149
2.10
0.62
1.09
1.79
0.53
0.92
69.5
145.7
43.0
75.4
124.1
36.6
64.2
9 years
4,267,320
0.0152
2.14
0.63
1.11
1.82
0.54
0.94
68.6
146.9
43.3
76.0
125.1
36.9
64.7
10 years
4,274,056
0.0152
2.14
0.63
1.11
1.83
0.54
0.95
67.6
145.0
42.7
75.0
123.5
36.4
63.9
11 years
4,115,093
0.0146
2.06
0.61
1.07
1.76
0.52
0.91
66.6
137.5
40.5
71.2
117.1
34.5
60.6
12 years
4,075,842
0.0145
2.05
0.60
1.06
1.74
0.51
0.90
65.6
134.2
39.5
69.4
114.3
33.7
59.1
13 years
4,010,850
0.0143
2.01
0.59
1.04
1.71
0.51
0.89
64.6
130.0
38.3
67.3
110.7
32.6
57.3
14 years
4,052,231
0.0144
2.03
0.60
1.05
1.73
0.51
0.90
63.6
129.3
38.1
66.9
110.2
32.5
57.0
15 years
4,019,404
0.0143
2.02
0.59
1.04
1.72
0.51
0.89
62.6
126.3
37.2
65.3
107.5
31.7
55.6
16 years
3,975,021
0.0141
1.99
0.59
1.03
1.70
0.50
0.88
61.7
123.1
36.3
63.7
104.8
30.9
54.2
17 years
4,046,012
0.0144
2.03
0.60
1.05
1.73
0.51
0.89
60.7
123.2
36.3
63.8
105.0
30.9
54.3
18 years
4,051,598
0.0144
2.03
0.60
1.05
1.73
0.51
0.90
59.7
121.4
35.8
62.8
103.4
30.5
53.5
19 years
4,127,855
0.0147
2.07
0.61
1.07
1.76
0.52
0.91
58.8
121.8
35.9
63.0
103.7
30.6
53.7
20 years
4,049,448
0.0144
2.03
0.60
1.05
1.73
0.51
0.90
57.8
117.4
34.6
60.8
100.0
29.5
51.8
21 years
3,841,082
0.0136
1.93
0.57
1.00
1.64
0.48
0.85
56.9
109.7
32.3
56.8
93.4
27.5
48.3
22 years
3,758,648
0.0134
1.89
0.56
0.98
1.61
0.47
0.83
55.9
105.4
31.1
54.6
89.8
26.5
46.5
23 years
3,673,582
0.0131
1.84
0.54
0.95
1.57
0.46
0.81
55.0
101.4
29.9
52.5
86.4
25.4
44.7
24 years
3,641,241
0.0129
1.83
0.54
0.95
1.56
0.46
0.81
54.0
98.7
29.1
51.1
84.0
24.8
43.5
25 years
3,744,539
0.0133
1.88
0.55
0.97
1.60
0.47
0.83
53.1
99.8
29.4
51.6
85.0
25.0
44.0
Economic Analysis for the LT2ESWTR
U -44
December 2005
-------
Exhibit U.6a: Annualized Life-Years Saved Based on Medium Estimate Dose Response Model, Alternative A1, by Data Set
Age Group
U.S.
Population
% Population
(Percent)
Annualized Deaths Avoided, 3%
Discount
Annualized Deaths Avoided,
7% Discount
Life
Expectancy
(years)
Annualized Life-Years Saved,
3% Discount (years)
Annualized Life-Years Saved,
7% Discount (years)
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
A
B
C
D
E
F
G
H
I
J
K
L
M
N
0
P
26 years
3,619,660
0.0129
1.82
0.54
0.94
1.55
0.46
0.80
52.1
94.6
27.9
49.0
80.6
23.8
41.7
27 years
3,789,800
0.0135
1.90
0.56
0.98
1.62
0.48
0.84
51.2
97.4
28.7
50.4
82.9
24.4
42.9
28 years
3,984,812
0.0142
2.00
0.59
1.03
1.70
0.50
0.88
50.2
100.4
29.6
51.9
85.5
25.2
44.2
29 years
4,242,525
0.0151
2.13
0.63
1.10
1.81
0.53
0.94
49.3
104.9
30.9
54.3
89.4
26.3
46.2
30 years
4,289,970
0.0152
2.15
0.63
1.11
1.83
0.54
0.95
48.3
104.0
30.6
53.8
88.6
26.1
45.8
31 years
4,011,575
0.0143
2.01
0.59
1.04
1.71
0.51
0.89
47.4
95.4
28.1
49.4
81.3
23.9
42.0
32 years
3,994,121
0.0142
2.00
0.59
1.04
1.71
0.50
0.88
46.5
93.2
27.5
48.2
79.4
23.4
41.1
33 years
4,026,573
0.0143
2.02
0.60
1.05
1.72
0.51
0.89
45.5
91.9
27.1
47.6
78.3
23.1
40.5
34 years
4,188,149
0.0149
2.10
0.62
1.09
1.79
0.53
0.93
44.6
93.7
27.6
48.5
79.8
23.5
41.3
35 years
4,516,118
0.0160
2.27
0.67
1.17
1.93
0.57
1.00
43.6
98.8
29.1
51.1
84.2
24.8
43.5
36 years
4,511,168
0.0160
2.26
0.67
1.17
1.93
0.57
1.00
42.7
96.7
28.5
50.0
82.3
24.3
42.6
37 years
4,517,060
0.0161
2.27
0.67
1.17
1.93
0.57
1.00
41.7
94.5
27.9
48.9
80.5
23.7
41.7
38 years
4,553,814
0.0162
2.28
0.67
1.18
1.95
0.57
1.01
40.8
93.2
27.5
48.2
79.4
23.4
41.1
39 years
4,608,504
0.0164
2.31
0.68
1.20
1.97
0.58
1.02
39.9
92.3
27.2
47.7
78.6
23.2
40.7
40 years
4,711,434
0.0167
2.36
0.70
1.22
2.01
0.59
1.04
38.9
92.0
27.1
47.6
78.3
23.1
40.5
41 years
4,466,676
0.0159
2.24
0.66
1.16
1.91
0.56
0.99
38.0
85.2
25.1
44.1
72.5
21.4
37.5
42 years
4,547,220
0.0162
2.28
0.67
1.18
1.94
0.57
1.01
37.1
84.6
25.0
43.8
72.1
21.2
37.3
43 years
4,407,870
0.0157
2.21
0.65
1.14
1.88
0.56
0.97
36.2
80.1
23.6
41.4
68.2
20.1
35.3
44 years
4,308,663
0.0153
2.16
0.64
1.12
1.84
0.54
0.95
35.3
76.3
22.5
39.5
65.0
19.2
33.6
45 years
4,341,460
0.0154
2.18
0.64
1.13
1.86
0.55
0.96
34.4
74.9
22.1
38.8
63.8
18.8
33.0
46 years
4,087,563
0.0145
2.05
0.60
1.06
1.75
0.51
0.90
33.5
68.7
20.3
35.6
58.5
17.2
30.3
47 years
4,019,692
0.0143
2.02
0.59
1.04
1.72
0.51
0.89
32.6
65.8
19.4
34.0
56.0
16.5
29.0
48 years
3,885,145
0.0138
1.95
0.57
1.01
1.66
0.49
0.86
31.7
61.8
18.2
32.0
52.6
15.5
27.2
49 years
3,758,544
0.0134
1.89
0.56
0.98
1.61
0.47
0.83
30.8
58.1
17.1
30.1
49.5
14.6
25.6
50 years
3,808,515
0.0135
1.91
0.56
0.99
1.63
0.48
0.84
30.0
57.3
16.9
29.7
48.8
14.4
25.3
Economic Analysis for the LT2ESWTR
U -45
December 2005
-------
Exhibit U.6a: Annualized Life-Years Saved Based on Medium Estimate Dose Response Model, Alternative A1, by Data Set
Age Group
U.S.
Population
% Population
(Percent)
Annualized Deaths Avoided, 3%
Discount
Annualized Deaths Avoided,
7% Discount
Life
Expectancy
(years)
Annualized Life-Years Saved,
3% Discount (years)
Annualized Life-Years Saved,
7% Discount (years)
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
A
B
C
D
E
F
G
H
I
J
K
L
M
N
0
P
51 years
3,616,997
0.0129
1.81
0.53
0.94
1.55
0.46
0.80
29.1
52.8
15.6
27.3
45.0
13.3
23.3
52 years
3,707,436
0.0132
1.86
0.55
0.96
1.58
0.47
0.82
28.2
52.5
15.5
27.1
44.7
13.2
23.1
53 years
3,635,040
0.0129
1.82
0.54
0.94
1.55
0.46
0.80
27.4
50.0
14.7
25.9
42.6
12.5
22.0
54 years
2,817,560
0.0100
1.41
0.42
0.73
1.20
0.35
0.62
26.5
37.5
11.0
19.4
31.9
9.4
16.5
55 years
2,850,600
0.0101
1.43
0.42
0.74
1.22
0.36
0.63
25.7
36.8
10.8
19.0
31.3
9.2
16.2
56 years
2,837,452
0.0101
1.42
0.42
0.74
1.21
0.36
0.63
24.8
35.3
10.4
18.3
30.1
8.9
15.6
57 years
2,864,020
0.0102
1.44
0.42
0.74
1.22
0.36
0.63
24.0
34.5
10.2
17.8
29.4
8.7
15.2
58 years
2,540,152
0.0090
1.27
0.38
0.66
1.09
0.32
0.56
23.2
29.6
8.7
15.3
25.2
7.4
13.0
59 years
2,377,013
0.0084
1.19
0.35
0.62
1.02
0.30
0.53
22.4
26.7
7.9
13.8
22.8
6.7
11.8
60 years
2,319,944
0.0082
1.16
0.34
0.60
0.99
0.29
0.51
21.6
25.1
7.4
13.0
21.4
6.3
11.1
61 years
2,221,227
0.0079
1.11
0.33
0.58
0.95
0.28
0.49
20.9
23.3
6.9
12.1
19.8
5.8
10.3
62 years
2,171,072
0.0077
1.09
0.32
0.56
0.93
0.27
0.48
20.1
21.9
6.5
11.3
18.7
5.5
9.6
63 years
2,053,151
0.0073
1.03
0.30
0.53
0.88
0.26
0.45
19.3
19.9
5.9
10.3
16.9
5.0
8.8
64 years
2,040,053
0.0072
1.02
0.30
0.53
0.87
0.26
0.45
18.6
19.0
5.6
9.9
16.2
4.8
8.4
65 years
2,029,911
0.0072
1.02
0.30
0.53
0.87
0.26
0.45
17.9
18.2
5.4
9.4
15.5
4.6
8.0
66 years
1,860,320
0.0066
0.93
0.28
0.48
0.80
0.23
0.41
17.2
16.1
4.7
8.3
13.7
4.0
7.1
67 years
1,896,451
0.0067
0.95
0.28
0.49
0.81
0.24
0.42
16.4
15.6
4.6
8.1
13.3
3.9
6.9
68 years
1,864,515
0.0066
0.94
0.28
0.48
0.80
0.23
0.41
15.8
14.8
4.4
7.6
12.6
3.7
6.5
69 years
1,882,348
0.0067
0.94
0.28
0.49
0.80
0.24
0.42
15.1
14.3
4.2
7.4
12.1
3.6
6.3
70 years
1,875,175
0.0067
0.94
0.28
0.49
0.80
0.24
0.41
14.4
13.5
4.0
7.0
11.5
3.4
6.0
71 years
1,788,269
0.0064
0.90
0.26
0.46
0.76
0.23
0.40
13.8
12.4
3.7
6.4
10.5
3.1
5.5
72 years
1,791,696
0.0064
0.90
0.27
0.47
0.77
0.23
0.40
13.1
11.8
3.5
6.1
10.0
3.0
5.2
73 years
1,725,168
0.0061
0.87
0.26
0.45
0.74
0.22
0.38
12.5
10.8
3.2
5.6
9.2
2.7
4.8
74 years
1,677,133
0.0060
0.84
0.25
0.44
0.72
0.21
0.37
11.9
10.0
3.0
5.2
8.5
2.5
4.4
75 years
1,651,641
0.0059
0.83
0.24
0.43
0.71
0.21
0.37
11.3
9.4
2.8
4.8
8.0
2.4
4.1
Economic Analysis for the LT2ESWTR
U -46
December 2005
-------
Exhibit U.6a: Annualized Life-Years Saved Based on Medium Estimate Dose Response Model, Alternative A1, by Data Set
Age Group
U.S.
Population
% Population
(Percent)
Annualized Deaths Avoided, 3%
Discount
Annualized Deaths Avoided,
7% Discount
Life
Expectancy
(years)
Annualized Life-Years Saved,
3% Discount (years)
Annualized Life-Years Saved,
7% Discount (years)
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
A
B
C
D
E
F
G
H
I
J
K
L
M
N
0
P
76 years
1,556,567
0.0055
0.78
0.23
0.40
0.67
0.20
0.34
10.7
8.4
2.5
4.3
7.1
2.1
3.7
77 years
1,460,781
0.0052
0.73
0.22
0.38
0.62
0.18
0.32
10.2
7.5
2.2
3.9
6.4
1.9
3.3
78 years
1,431,916
0.0051
0.72
0.21
0.37
0.61
0.18
0.32
9.6
6.9
2.0
3.6
5.9
1.7
3.0
79 years
1,314,908
0.0047
0.66
0.19
0.34
0.56
0.17
0.29
9.1
6.0
1.8
3.1
5.1
1.5
2.6
80 years
1,207,365
0.0043
0.61
0.18
0.31
0.52
0.15
0.27
8.6
5.2
1.5
2.7
4.4
1.3
2.3
81 years
1,072,048
0.0038
0.54
0.16
0.28
0.46
0.14
0.24
8.1
4.4
1.3
2.3
3.7
1.1
1.9
82 years
981,562
0.0035
0.49
0.15
0.25
0.42
0.12
0.22
7.6
3.7
1.1
1.9
3.2
0.9
1.6
83 years
883,063
0.0031
0.44
0.13
0.23
0.38
0.11
0.20
7.2
3.2
0.9
1.7
2.7
0.8
1.4
84 years
801,329
0.0028
0.40
0.12
0.21
0.34
0.10
0.18
6.7
2.7
0.8
1.4
2.3
0.7
1.2
85 years
730,194
0.0026
0.37
0.11
0.19
0.31
0.09
0.16
6.3
2.3
0.7
1.2
2.0
0.6
1.0
86 years
635,154
0.0023
0.32
0.09
0.16
0.27
0.08
0.14
6.0
1.9
0.6
1.0
1.6
0.5
0.8
87 years
557,330
0.0020
0.28
0.08
0.14
0.24
0.07
0.12
5.6
1.6
0.5
0.8
1.3
0.4
0.7
88 years
465,481
0.0017
0.23
0.07
0.12
0.20
0.06
0.10
5.3
1.2
0.4
0.6
1.1
0.3
0.5
89 years
401,659
0.0014
0.20
0.06
0.10
0.17
0.05
0.09
5.0
1.0
0.3
0.5
0.9
0.3
0.4
90 years
327,904
0.0012
0.16
0.05
0.09
0.14
0.04
0.07
4.7
0.8
0.2
0.4
0.7
0.2
0.3
91 years
266,386
0.0009
0.13
0.04
0.07
0.11
0.03
0.06
4.4
0.6
0.2
0.3
0.5
0.1
0.3
92 years
218,217
0.0008
0.11
0.03
0.06
0.09
0.03
0.05
4.1
0.4
0.1
0.2
0.4
0.1
0.2
93 years
169,066
0.0006
0.08
0.03
0.04
0.07
0.02
0.04
3.9
0.3
0.1
0.2
0.3
0.1
0.1
94 years
130,958
0.0005
0.07
0.02
0.03
0.06
0.02
0.03
3.7
0.2
0.1
0.1
0.2
0.1
0.1
95 years
98,095
0.0003
0.05
0.01
0.03
0.04
0.01
0.02
3.5
0.2
0.1
0.1
0.1
0.0
0.1
96 years
72,680
0.0003
0.04
0.01
0.02
0.03
0.01
0.02
3.3
0.1
0.0
0.1
0.1
0.0
0.1
97 years
52,844
0.0002
0.03
0.01
0.01
0.02
0.01
0.01
3.1
0.1
0.0
0.0
0.1
0.0
0.0
98 years
36,003
0.0001
0.02
0.01
0.01
0.02
0.00
0.01
2.9
0.1
0.0
0.0
0.0
0.0
0.0
99 years
27,162
0.0001
0.01
0.00
0.01
0.01
0.00
0.01
2.7
0.0
0.0
0.0
0.0
0.0
0.0
>=100 years
50,454
0.0002
0.03
0.01
0.01
0.02
0.01
0.01
2.6
0.1
0.0
0.0
0.1
0.0
0.0
Sources: Colums A,B - U.S. Census (2000), Summary File 2
Columns D -1, Row titled "Total Across Intervals", from Exhibit C.10
Column J - National Vital Statistics Reports, Vol. 51, No. 3, December 29, 2002, "Life table for the total population: United States, 2000"
Economic Analysis for the LT2ESWTR
U -47
December 2005
-------
Exhibit L
6b: Annualized Life-Years Saved Based on Medium Estimate Dose Response Model, Alternative A2, by Data Set
Age Group
U.S.
Population
% Population
(Percent)
Annualized Deaths Avoided,
3% Discount
Annualized Deaths Avoided,
7% Discount
Life
Expectanc
y (years)
Annualized Life-Years Saved,
3% Discount (years)
Annualized Life-Years Saved,
7% Discount (years)
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
A
B
C
D
E
F
G
H
I
J
K
L
M
N
0
P
TOTAL
281,421,906
1.00
139.6
37.0
68.9
118.9
31.5
58.7
6,132.2
1,624.5
3,028.0
5224
1384
2580
_
_
(B / 281,421,906)
C* 139.6
O
CO
C * 68.9
C * 118.9
C * 31.5
C * 58.7
_
D * J
E * J
F * J
G * J
H * J
I * J
Under 1 year
3,805,648
0.0135
1.89
0.50
0.93
1.61
0.43
0.79
76.9
145.2
38.5
71.7
123.7
32.8
61.1
1 year
3,820,582
0.0136
1.90
0.50
0.94
1.61
0.43
0.80
76.4
144.8
38.4
71.5
123.4
32.7
60.9
2 years
3,790,446
0.0135
1.88
0.50
0.93
1.60
0.42
0.79
75.4
141.8
37.6
70.0
120.8
32.0
59.6
3 years
3,832,799
0.0136
1.90
0.50
0.94
1.62
0.43
0.80
74.5
141.7
37.5
70.0
120.7
32.0
59.6
4 years
3,926,323
0.0140
1.95
0.52
0.96
1.66
0.44
0.82
73.5
143.2
37.9
70.7
122.0
32.3
60.2
5 years
3,965,103
0.0141
1.97
0.52
0.97
1.68
0.44
0.83
72.5
142.6
37.8
70.4
121.5
32.2
60.0
6 years
4,019,705
0.0143
1.99
0.53
0.98
1.70
0.45
0.84
71.5
142.6
37.8
70.4
121.5
32.2
60.0
7 years
4,118,147
0.0146
2.04
0.54
1.01
1.74
0.46
0.86
70.5
144.0
38.2
71.1
122.7
32.5
60.6
8 years
4,179,230
0.0149
2.07
0.55
1.02
1.77
0.47
0.87
69.5
144.1
38.2
71.2
122.8
32.5
60.6
9 years
4,267,320
0.0152
2.12
0.56
1.05
1.80
0.48
0.89
68.6
145.2
38.5
71.7
123.7
32.8
61.1
10 years
4,274,056
0.0152
2.12
0.56
1.05
1.81
0.48
0.89
67.6
143.3
38.0
70.8
122.1
32.4
60.3
11 years
4,115,093
0.0146
2.04
0.54
1.01
1.74
0.46
0.86
66.6
136.0
36.0
67.1
115.8
30.7
57.2
12 years
4,075,842
0.0145
2.02
0.54
1.00
1.72
0.46
0.85
65.6
132.7
35.1
65.5
113.0
29.9
55.8
13 years
4,010,850
0.0143
1.99
0.53
0.98
1.70
0.45
0.84
64.6
128.5
34.1
63.5
109.5
29.0
54.1
14 years
4,052,231
0.0144
2.01
0.53
0.99
1.71
0.45
0.85
63.6
127.9
33.9
63.1
108.9
28.9
53.8
15 years
4,019,404
0.0143
1.99
0.53
0.98
1.70
0.45
0.84
62.6
124.8
33.1
61.6
106.3
28.2
52.5
16 years
3,975,021
0.0141
1.97
0.52
0.97
1.68
0.45
0.83
61.7
121.7
32.2
60.1
103.7
27.5
51.2
17 years
4,046,012
0.0144
2.01
0.53
0.99
1.71
0.45
0.84
60.7
121.8
32.3
60.2
103.8
27.5
51.3
18 years
4,051,598
0.0144
2.01
0.53
0.99
1.71
0.45
0.85
59.7
120.0
31.8
59.3
102.2
27.1
50.5
19 years
4,127,855
0.0147
2.05
0.54
1.01
1.74
0.46
0.86
58.8
120.4
31.9
59.5
102.6
27.2
50.7
20 years
4,049,448
0.0144
2.01
0.53
0.99
1.71
0.45
0.85
57.8
116.1
30.8
57.3
98.9
26.2
48.8
21 years
3,841,082
0.0136
1.91
0.50
0.94
1.62
0.43
0.80
56.9
108.4
28.7
53.5
92.4
24.5
45.6
22 years
3,758,648
0.0134
1.86
0.49
0.92
1.59
0.42
0.78
55.9
104.2
27.6
51.5
88.8
23.5
43.8
23 years
3,673,582
0.0131
1.82
0.48
0.90
1.55
0.41
0.77
55.0
100.2
26.6
49.5
85.4
22.6
42.2
24 years
3,641,241
0.0129
1.81
0.48
0.89
1.54
0.41
0.76
54.0
97.6
25.8
48.2
83.1
22.0
41.0
25 years
3,744,539
0.0133
1.86
0.49
0.92
1.58
0.42
0.78
53.1
98.6
26.1
48.7
84.0
22.3
41.5
Economic Analysis for the LT2ESWTR
U -48
December 2005
-------
Exhibit U.6b: Annualized Life-Years Saved Based on Medium Estimate Dose Response Model, Alternative A2, by Data Set
Age Group
U.S.
Population
% Population
(Percent)
Annualized Deaths Avoided,
3% Discount
Annualized Deaths Avoided,
7% Discount
Life
Expectanc
y (years)
Annualized Life-Years Saved,
3% Discount (years)
Annualized Life-Years Saved,
7% Discount (years)
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
A
B
C
D
E
F
G
H
I
J
K
L
M
N
0
P
26 years
3,619,660
0.0129
1.80
0.48
0.89
1.53
0.41
0.76
52.1
93.6
24.8
46.2
79.7
21.1
39.4
27 years
3,789,800
0.0135
1.88
0.50
0.93
1.60
0.42
0.79
51.2
96.3
25.5
47.5
82.0
21.7
40.5
28 years
3,984,812
0.0142
1.98
0.52
0.98
1.68
0.45
0.83
50.2
99.2
26.3
49.0
84.5
22.4
41.7
29 years
4,242,525
0.0151
2.10
0.56
1.04
1.79
0.48
0.89
49.3
103.8
27.5
51.2
88.4
23.4
43.7
30 years
4,289,970
0.0152
2.13
0.56
1.05
1.81
0.48
0.90
48.3
102.8
27.2
50.8
87.6
23.2
43.2
31 years
4,011,575
0.0143
1.99
0.53
0.98
1.70
0.45
0.84
47.4
94.3
25.0
46.6
80.4
21.3
39.7
32 years
3,994,121
0.0142
1.98
0.52
0.98
1.69
0.45
0.83
46.5
92.1
24.4
45.5
78.5
20.8
38.8
33 years
4,026,573
0.0143
2.00
0.53
0.99
1.70
0.45
0.84
45.5
90.9
24.1
44.9
77.4
20.5
38.2
34 years
4,188,149
0.0149
2.08
0.55
1.03
1.77
0.47
0.87
44.6
92.7
24.5
45.8
78.9
20.9
39.0
35 years
4,516,118
0.0160
2.24
0.59
1.11
1.91
0.51
0.94
43.6
97.7
25.9
48.2
83.2
22.1
41.1
36 years
4,511,168
0.0160
2.24
0.59
1.11
1.91
0.51
0.94
42.7
95.6
25.3
47.2
81.4
21.6
40.2
37 years
4,517,060
0.0161
2.24
0.59
1.11
1.91
0.51
0.94
41.7
93.5
24.8
46.1
79.6
21.1
39.3
38 years
4,553,814
0.0162
2.26
0.60
1.12
1.92
0.51
0.95
40.8
92.2
24.4
45.5
78.5
20.8
38.8
39 years
4,608,504
0.0164
2.29
0.61
1.13
1.95
0.52
0.96
39.9
91.2
24.2
45.0
77.7
20.6
38.4
40 years
4,711,434
0.0167
2.34
0.62
1.15
1.99
0.53
0.98
38.9
90.9
24.1
44.9
77.5
20.5
38.2
41 years
4,466,676
0.0159
2.22
0.59
1.09
1.89
0.50
0.93
38.0
84.2
22.3
41.6
71.7
19.0
35.4
42 years
4,547,220
0.0162
2.26
0.60
1.11
1.92
0.51
0.95
37.1
83.7
22.2
41.3
71.3
18.9
35.2
43 years
4,407,870
0.0157
2.19
0.58
1.08
1.86
0.49
0.92
36.2
79.2
21.0
39.1
67.4
17.9
33.3
44 years
4,308,663
0.0153
2.14
0.57
1.06
1.82
0.48
0.90
35.3
75.5
20.0
37.3
64.3
17.0
31.7
45 years
4,341,460
0.0154
2.15
0.57
1.06
1.83
0.49
0.91
34.4
74.1
19.6
36.6
63.1
16.7
31.2
46 years
4,087,563
0.0145
2.03
0.54
1.00
1.73
0.46
0.85
33.5
67.9
18.0
33.5
57.9
15.3
28.6
47 years
4,019,692
0.0143
1.99
0.53
0.98
1.70
0.45
0.84
32.6
65.0
17.2
32.1
55.4
14.7
27.3
48 years
3,885,145
0.0138
1.93
0.51
0.95
1.64
0.44
0.81
31.7
61.1
16.2
30.2
52.1
13.8
25.7
49 years
3,758,544
0.0134
1.86
0.49
0.92
1.59
0.42
0.78
30.8
57.4
15.2
28.4
48.9
13.0
24.2
50 years
3,808,515
0.0135
1.89
0.50
0.93
1.61
0.43
0.79
30.0
56.7
15.0
28.0
48.3
12.8
23.8
Economic Analysis for the LT2ESWTR
U -49
December 2005
-------
Exhibit U.6b: Annualized Life-Years Saved Based on Medium Estimate Dose Response Model, Alternative A2, by Data Set
Age Group
U.S.
Population
% Population
(Percent)
Annualized Deaths Avoided,
3% Discount
Annualized Deaths Avoided,
7% Discount
Life
Expectanc
y (years)
Annualized Life-Years Saved,
3% Discount (years)
Annualized Life-Years Saved,
7% Discount (years)
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
A
B
C
D
E
F
G
H
I
J
K
L
M
N
0
P
51 years
3,616,997
0.0129
1.79
0.48
0.89
1.53
0.41
0.75
29.1
52.2
13.8
25.8
44.5
11.8
22.0
52 years
3,707,436
0.0132
1.84
0.49
0.91
1.57
0.42
0.77
28.2
51.9
13.7
25.6
44.2
11.7
21.8
53 years
3,635,040
0.0129
1.80
0.48
0.89
1.54
0.41
0.76
27.4
49.4
13.1
24.4
42.1
11.2
20.8
54 years
2,817,560
0.0100
1.40
0.37
0.69
1.19
0.32
0.59
26.5
37.0
9.8
18.3
31.6
8.4
15.6
55 years
2,850,600
0.0101
1.41
0.37
0.70
1.20
0.32
0.59
25.7
36.3
9.6
17.9
31.0
8.2
15.3
56 years
2,837,452
0.0101
1.41
0.37
0.70
1.20
0.32
0.59
24.8
34.9
9.2
17.2
29.7
7.9
14.7
57 years
2,864,020
0.0102
1.42
0.38
0.70
1.21
0.32
0.60
24.0
34.1
9.0
16.8
29.1
7.7
14.3
58 years
2,540,152
0.0090
1.26
0.33
0.62
1.07
0.28
0.53
23.2
29.2
7.7
14.4
24.9
6.6
12.3
59 years
2,377,013
0.0084
1.18
0.31
0.58
1.00
0.27
0.50
22.4
26.4
7.0
13.0
22.5
6.0
11.1
60 years
2,319,944
0.0082
1.15
0.30
0.57
0.98
0.26
0.48
21.6
24.9
6.6
12.3
21.2
5.6
10.5
61 years
2,221,227
0.0079
1.10
0.29
0.54
0.94
0.25
0.46
20.9
23.0
6.1
11.4
19.6
5.2
9.7
62 years
2,171,072
0.0077
1.08
0.29
0.53
0.92
0.24
0.45
20.1
21.7
5.7
10.7
18.4
4.9
9.1
63 years
2,053,151
0.0073
1.02
0.27
0.50
0.87
0.23
0.43
19.3
19.7
5.2
9.7
16.7
4.4
8.3
64 years
2,040,053
0.0072
1.01
0.27
0.50
0.86
0.23
0.43
18.6
18.8
5.0
9.3
16.0
4.2
7.9
65 years
2,029,911
0.0072
1.01
0.27
0.50
0.86
0.23
0.42
17.9
18.0
4.8
8.9
15.4
4.1
7.6
66 years
1,860,320
0.0066
0.92
0.24
0.46
0.79
0.21
0.39
17.2
15.9
4.2
7.8
13.5
3.6
6.7
67 years
1,896,451
0.0067
0.94
0.25
0.46
0.80
0.21
0.40
16.4
15.4
4.1
7.6
13.1
3.5
6.5
68 years
1,864,515
0.0066
0.93
0.25
0.46
0.79
0.21
0.39
15.8
14.6
3.9
7.2
12.5
3.3
6.1
69 years
1,882,348
0.0067
0.93
0.25
0.46
0.80
0.21
0.39
15.1
14.1
3.7
7.0
12.0
3.2
5.9
70 years
1,875,175
0.0067
0.93
0.25
0.46
0.79
0.21
0.39
14.4
13.4
3.5
6.6
11.4
3.0
5.6
71 years
1,788,269
0.0064
0.89
0.24
0.44
0.76
0.20
0.37
13.8
12.2
3.2
6.0
10.4
2.8
5.2
72 years
1,791,696
0.0064
0.89
0.24
0.44
0.76
0.20
0.37
13.1
11.6
3.1
5.8
9.9
2.6
4.9
73 years
1,725,168
0.0061
0.86
0.23
0.42
0.73
0.19
0.36
12.5
10.7
2.8
5.3
9.1
2.4
4.5
74 years
1,677,133
0.0060
0.83
0.22
0.41
0.71
0.19
0.35
11.9
9.9
2.6
4.9
8.4
2.2
4.2
75 years
1,651,641
0.0059
0.82
0.22
0.40
0.70
0.18
0.34
11.3
9.3
2.5
4.6
7.9
2.1
3.9
Economic Analysis for the LT2ESWTR
U -50
December 2005
-------
Exhibit U.6b: Annualized Life-Years Saved Based on Medium Estimate Dose Response Model, Alternative A2, by Data Set
Age Group
U.S.
Population
% Population
(Percent)
Annualized Deaths Avoided,
3% Discount
Annualized Deaths Avoided,
7% Discount
Life
Expectanc
y (years)
Annualized Life-Years Saved,
3% Discount (years)
Annualized Life-Years Saved,
7% Discount (years)
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
A
B
C
D
E
F
G
H
I
J
K
L
M
N
0
P
76 years
1,556,567
0.0055
0.77
0.20
0.38
0.66
0.17
0.32
10.7
8.3
2.2
4.1
7.0
1.9
3.5
77 years
1,460,781
0.0052
0.72
0.19
0.36
0.62
0.16
0.30
10.2
7.4
2.0
3.7
6.3
1.7
3.1
78 years
1,431,916
0.0051
0.71
0.19
0.35
0.61
0.16
0.30
9.6
6.8
1.8
3.4
5.8
1.5
2.9
79 years
1,314,908
0.0047
0.65
0.17
0.32
0.56
0.15
0.27
9.1
5.9
1.6
2.9
5.1
1.3
2.5
80 years
1,207,365
0.0043
0.60
0.16
0.30
0.51
0.14
0.25
8.6
5.2
1.4
2.5
4.4
1.2
2.2
81 years
1,072,048
0.0038
0.53
0.14
0.26
0.45
0.12
0.22
8.1
4.3
1.1
2.1
3.7
1.0
1.8
82 years
981,562
0.0035
0.49
0.13
0.24
0.41
0.11
0.20
7.6
3.7
1.0
1.8
3.2
0.8
1.6
83 years
883,063
0.0031
0.44
0.12
0.22
0.37
0.10
0.18
7.2
3.2
0.8
1.6
2.7
0.7
1.3
84 years
801,329
0.0028
0.40
0.11
0.20
0.34
0.09
0.17
6.7
2.7
0.7
1.3
2.3
0.6
1.1
85 years
730,194
0.0026
0.36
0.10
0.18
0.31
0.08
0.15
6.3
2.3
0.6
1.1
1.9
0.5
1.0
86 years
635,154
0.0023
0.32
0.08
0.16
0.27
0.07
0.13
6.0
1.9
0.5
0.9
1.6
0.4
0.8
87 years
557,330
0.0020
0.28
0.07
0.14
0.24
0.06
0.12
5.6
1.5
0.4
0.8
1.3
0.3
0.7
88 years
465,481
0.0017
0.23
0.06
0.11
0.20
0.05
0.10
5.3
1.2
0.3
0.6
1.0
0.3
0.5
89 years
401,659
0.0014
0.20
0.05
0.10
0.17
0.04
0.08
5.0
1.0
0.3
0.5
0.8
0.2
0.4
90 years
327,904
0.0012
0.16
0.04
0.08
0.14
0.04
0.07
4.7
0.8
0.2
0.4
0.7
0.2
0.3
91 years
266,386
0.0009
0.13
0.04
0.07
0.11
0.03
0.06
4.4
0.6
0.2
0.3
0.5
0.1
0.2
92 years
218,217
0.0008
0.11
0.03
0.05
0.09
0.02
0.05
4.1
0.4
0.1
0.2
0.4
0.1
0.2
93 years
169,066
0.0006
0.08
0.02
0.04
0.07
0.02
0.04
3.9
0.3
0.1
0.2
0.3
0.1
0.1
94 years
130,958
0.0005
0.06
0.02
0.03
0.06
0.01
0.03
3.7
0.2
0.1
0.1
0.2
0.1
0.1
95 years
98,095
0.0003
0.05
0.01
0.02
0.04
0.01
0.02
3.5
0.2
0.0
0.1
0.1
0.0
0.1
96 years
72,680
0.0003
0.04
0.01
0.02
0.03
0.01
0.02
3.3
0.1
0.0
0.1
0.1
0.0
0.1
97 years
52,844
0.0002
0.03
0.01
0.01
0.02
0.01
0.01
3.1
0.1
0.0
0.0
0.1
0.0
0.0
98 years
36,003
0.0001
0.02
0.00
0.01
0.02
0.00
0.01
2.9
0.1
0.0
0.0
0.0
0.0
0.0
99 years
27,162
0.0001
0.01
0.00
0.01
0.01
0.00
0.01
2.7
0.0
0.0
0.0
0.0
0.0
0.0
>=100 years
50,454
0.0002
0.03
0.01
0.01
0.02
0.01
0.01
2.6
0.1
0.0
0.0
0.1
0.0
0.0
Sources: Colums A,B - U.S. Census (2000), Summary File 2
Columns D - I, Row titled "Total Across Intervals", from Exhibit C.10
Column J - National Vital Statistics Reports, Vol. 51, No. 3, December 29, 2002, "Life table for the total population: United States, 2000"
Economic Analysis for the LT2ESWTR
U -51
December 2005
-------
Exhibit U.6c: Annualized Life-Years Saved Based on Medium Estimate Dose Response Model, Alternative A3, by Data Set
Age Group
U.S.
Population
% Population
(Percent)
Annualized Deaths Avoided,
3% Discount
Annualized Deaths Avoided,
7% Discount
Life
Expectancy
(years)
Annualized Life-Years Saved,
3% Discount (years)
Annualized Life-Years Saved,
7% Discount (years)
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
TOTAL
281,421,906
1.00
138.5
34.9
66.7
118.0
29.8
56.9
6,080.8
1,533.1
2,930.1
5180
1307
2497
_
_
(B/281,421,906)
C* 138.5
C * 34.9
C * 66.7
C * 118.
C * 29.8
C * 56.9
_
D * J
E * J
F * J
G * J
H * J
I * J
Under 1 year
3,805,648
0.0135
1.87
0.47
0.90
1.60
0.40
0.77
76.9
144.0
36.3
69.4
122.7
31.0
59.1
1 year
3,820,582
0.0136
1.88
0.47
0.91
1.60
0.40
0.77
76.4
143.6
36.2
69.2
122.3
30.9
59.0
2 years
3,790,446
0.0135
1.86
0.47
0.90
1.59
0.40
0.77
75.4
140.6
35.4
67.8
119.8
30.2
57.7
3 years
3,832,799
0.0136
1.89
0.48
0.91
1.61
0.41
0.77
74.5
140.5
35.4
67.7
119.7
30.2
57.7
4 years
3,926,323
0.0140
1.93
0.49
0.93
1.65
0.42
0.79
73.5
142.0
35.8
68.4
121.0
30.5
58.3
5 years
3,965,103
0.0141
1.95
0.49
0.94
1.66
0.42
0.80
72.5
141.4
35.7
68.1
120.5
30.4
58.1
6 years
4,019,705
0.0143
1.98
0.50
0.95
1.68
0.43
0.81
71.5
141.4
35.6
68.1
120.5
30.4
58.1
7 years
4,118,147
0.0146
2.03
0.51
0.98
1.73
0.44
0.83
70.5
142.8
36.0
68.8
121.7
30.7
58.7
8 years
4,179,230
0.0149
2.06
0.52
0.99
1.75
0.44
0.84
69.5
142.9
36.0
68.9
121.7
30.7
58.7
9 years
4,267,320
0.0152
2.10
0.53
1.01
1.79
0.45
0.86
68.6
144.0
36.3
69.4
122.7
31.0
59.1
10 years
4,274,056
0.0152
2.10
0.53
1.01
1.79
0.45
0.86
67.6
142.1
35.8
68.5
121.1
30.6
58.4
11 years
4,115,093
0.0146
2.02
0.51
0.98
1.72
0.44
0.83
66.6
134.8
34.0
65.0
114.9
29.0
55.4
12 years
4,075,842
0.0145
2.01
0.51
0.97
1.71
0.43
0.82
65.6
131.5
33.2
63.4
112.1
28.3
54.0
13 years
4,010,850
0.0143
1.97
0.50
0.95
1.68
0.42
0.81
64.6
127.5
32.1
61.4
108.6
27.4
52.3
14 years
4,052,231
0.0144
1.99
0.50
0.96
1.70
0.43
0.82
63.6
126.8
32.0
61.1
108.0
27.3
52.1
15 years
4,019,404
0.0143
1.98
0.50
0.95
1.68
0.43
0.81
62.6
123.8
31.2
59.6
105.5
26.6
50.8
16 years
3,975,021
0.0141
1.96
0.49
0.94
1.67
0.42
0.80
61.7
120.7
30.4
58.1
102.8
25.9
49.5
17 years
4,046,012
0.0144
1.99
0.50
0.96
1.70
0.43
0.82
60.7
120.8
30.5
58.2
102.9
26.0
49.6
18 years
4,051,598
0.0144
1.99
0.50
0.96
1.70
0.43
0.82
59.7
119.0
30.0
57.3
101.4
25.6
48.9
19 years
4,127,855
0.0147
2.03
0.51
0.98
1.73
0.44
0.83
58.8
119.4
30.1
57.5
101.7
25.7
49.0
20 years
4,049,448
0.0144
1.99
0.50
0.96
1.70
0.43
0.82
57.8
115.1
29.0
55.5
98.1
24.8
47.3
21 years
3,841,082
0.0136
1.89
0.48
0.91
1.61
0.41
0.78
56.9
107.5
27.1
51.8
91.6
23.1
44.2
22 years
3,758,648
0.0134
1.85
0.47
0.89
1.58
0.40
0.76
55.9
103.4
26.1
49.8
88.1
22.2
42.4
23 years
3,673,582
0.0131
1.81
0.46
0.87
1.54
0.39
0.74
55.0
99.4
25.1
47.9
84.7
21.4
40.8
24 years
3,641,241
0.0129
1.79
0.45
0.86
1.53
0.39
0.74
54.0
96.7
24.4
46.6
82.4
20.8
39.7
25 years
3,744,539
0.0133
1.84
0.46
0.89
1.57
0.40
0.76
53.1
97.8
24.7
47.1
83.3
21.0
40.2
Economic Analysis for the LT2ESWTR
U -52
December 2005
-------
Exhibit U.6c: Annualized Life-Years Saved Based on Medium Estimate Dose Response Model, Alternative A3, by Data Set
Age Group
U.S.
Population
% Population
(Percent)
Annualized Deaths Avoided,
3% Discount
Annualized Deaths Avoided,
7% Discount
Life
Expectancy
(years)
Annualized Life-Years Saved,
3% Discount (years)
Annualized Life-Years Saved,
7% Discount (years)
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
A
B
C
D
E
F
G
H
I
J
K
L
M
N
0
P
26 years
3,619,660
0.0129
1.78
0.45
0.86
1.52
0.38
0.73
52.1
92.8
23.4
44.7
79.0
19.9
38.1
27 years
3,789,800
0.0135
1.86
0.47
0.90
1.59
0.40
0.77
51.2
95.5
24.1
46.0
81.3
20.5
39.2
28 years
3,984,812
0.0142
1.96
0.49
0.94
1.67
0.42
0.81
50.2
98.4
24.8
47.4
83.8
21.2
40.4
29 years
4,242,525
0.0151
2.09
0.53
1.01
1.78
0.45
0.86
49.3
102.9
25.9
49.6
87.7
22.1
42.3
30 years
4,289,970
0.0152
2.11
0.53
1.02
1.80
0.45
0.87
48.3
101.9
25.7
49.1
86.8
21.9
41.9
31 years
4,011,575
0.0143
1.97
0.50
0.95
1.68
0.42
0.81
47.4
93.5
23.6
45.1
79.7
20.1
38.4
32 years
3,994,121
0.0142
1.96
0.50
0.95
1.67
0.42
0.81
46.5
91.4
23.0
44.0
77.8
19.6
37.5
33 years
4,026,573
0.0143
1.98
0.50
0.95
1.69
0.43
0.81
45.5
90.1
22.7
43.4
76.8
19.4
37.0
34 years
4,188,149
0.0149
2.06
0.52
0.99
1.76
0.44
0.85
44.6
91.9
23.2
44.3
78.3
19.8
37.7
35 years
4,516,118
0.0160
2.22
0.56
1.07
1.89
0.48
0.91
43.6
96.9
24.4
46.7
82.5
20.8
39.8
36 years
4,511,168
0.0160
2.22
0.56
1.07
1.89
0.48
0.91
42.7
94.8
23.9
45.7
80.7
20.4
38.9
37 years
4,517,060
0.0161
2.22
0.56
1.07
1.89
0.48
0.91
41.7
92.7
23.4
44.7
78.9
19.9
38.1
38 years
4,553,814
0.0162
2.24
0.56
1.08
1.91
0.48
0.92
40.8
91.4
23.0
44.0
77.9
19.7
37.5
39 years
4,608,504
0.0164
2.27
0.57
1.09
1.93
0.49
0.93
39.9
90.5
22.8
43.6
77.1
19.4
37.1
40 years
4,711,434
0.0167
2.32
0.58
1.12
1.97
0.50
0.95
38.9
90.2
22.7
43.4
76.8
19.4
37.0
41 years
4,466,676
0.0159
2.20
0.55
1.06
1.87
0.47
0.90
38.0
83.5
21.1
40.2
71.1
18.0
34.3
42 years
4,547,220
0.0162
2.24
0.56
1.08
1.91
0.48
0.92
37.1
83.0
20.9
40.0
70.7
17.8
34.1
43 years
4,407,870
0.0157
2.17
0.55
1.04
1.85
0.47
0.89
36.2
78.5
19.8
37.8
66.9
16.9
32.2
44 years
4,308,663
0.0153
2.12
0.53
1.02
1.81
0.46
0.87
35.3
74.8
18.9
36.1
63.7
16.1
30.7
45 years
4,341,460
0.0154
2.14
0.54
1.03
1.82
0.46
0.88
34.4
73.5
18.5
35.4
62.6
15.8
30.2
46 years
4,087,563
0.0145
2.01
0.51
0.97
1.71
0.43
0.83
33.5
67.4
17.0
32.5
57.4
14.5
27.7
47 years
4,019,692
0.0143
1.98
0.50
0.95
1.68
0.43
0.81
32.6
64.5
16.3
31.1
54.9
13.9
26.5
48 years
3,885,145
0.0138
1.91
0.48
0.92
1.63
0.41
0.78
31.7
60.6
15.3
29.2
51.6
13.0
24.9
49 years
3,758,544
0.0134
1.85
0.47
0.89
1.58
0.40
0.76
30.8
57.0
14.4
27.4
48.5
12.2
23.4
50 years
3,808,515
0.0135
1.87
0.47
0.90
1.60
0.40
0.77
30.0
56.2
14.2
27.1
47.9
12.1
23.1
Economic Analysis for the LT2ESWTR
U -53
December 2005
-------
Exhibit U.6c: Annualized Life-Years Saved Based on Medium Estimate Dose Response Model, Alternative A3, by Data Set
Age Group
U.S.
Population
% Population
(Percent)
Annualized Deaths Avoided,
3% Discount
Annualized Deaths Avoided,
7% Discount
Life
Expectancy
(years)
Annualized Life-Years Saved,
3% Discount (years)
Annualized Life-Years Saved,
7% Discount (years)
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
A
B
C
D
E
F
G
H
I
J
K
L
M
N
0
P
51 years
3,616,997
0.0129
1.78
0.45
0.86
1.52
0.38
0.73
29.1
51.8
13.1
25.0
44.1
11.1
21.3
52 years
3,707,436
0.0132
1.82
0.46
0.88
1.55
0.39
0.75
28.2
51.4
13.0
24.8
43.8
11.1
21.1
53 years
3,635,040
0.0129
1.79
0.45
0.86
1.52
0.38
0.73
27.4
49.0
12.4
23.6
41.7
10.5
20.1
54 years
2,817,560
0.0100
1.39
0.35
0.67
1.18
0.30
0.57
26.5
36.7
9.3
17.7
31.3
7.9
15.1
55 years
2,850,600
0.0101
1.40
0.35
0.68
1.19
0.30
0.58
25.7
36.0
9.1
17.4
30.7
7.7
14.8
56 years
2,837,452
0.0101
1.40
0.35
0.67
1.19
0.30
0.57
24.8
34.6
8.7
16.7
29.5
7.4
14.2
57 years
2,864,020
0.0102
1.41
0.36
0.68
1.20
0.30
0.58
24.0
33.8
8.5
16.3
28.8
7.3
13.9
58 years
2,540,152
0.0090
1.25
0.32
0.60
1.06
0.27
0.51
23.2
29.0
7.3
14.0
24.7
6.2
11.9
59 years
2,377,013
0.0084
1.17
0.29
0.56
1.00
0.25
0.48
22.4
26.2
6.6
12.6
22.3
5.6
10.8
60 years
2,319,944
0.0082
1.14
0.29
0.55
0.97
0.25
0.47
21.6
24.7
6.2
11.9
21.0
5.3
10.1
61 years
2,221,227
0.0079
1.09
0.28
0.53
0.93
0.23
0.45
20.9
22.8
5.8
11.0
19.5
4.9
9.4
62 years
2,171,072
0.0077
1.07
0.27
0.51
0.91
0.23
0.44
20.1
21.5
5.4
10.3
18.3
4.6
8.8
63 years
2,053,151
0.0073
1.01
0.25
0.49
0.86
0.22
0.41
19.3
19.5
4.9
9.4
16.6
4.2
8.0
64 years
2,040,053
0.0072
1.00
0.25
0.48
0.86
0.22
0.41
18.6
18.7
4.7
9.0
15.9
4.0
7.7
65 years
2,029,911
0.0072
1.00
0.25
0.48
0.85
0.21
0.41
17.9
17.9
4.5
8.6
15.2
3.8
7.3
66 years
1,860,320
0.0066
0.92
0.23
0.44
0.78
0.20
0.38
17.2
15.7
4.0
7.6
13.4
3.4
6.5
67 years
1,896,451
0.0067
0.93
0.24
0.45
0.79
0.20
0.38
16.4
15.3
3.9
7.4
13.0
3.3
6.3
68 years
1,864,515
0.0066
0.92
0.23
0.44
0.78
0.20
0.38
15.8
14.5
3.7
7.0
12.3
3.1
6.0
69 years
1,882,348
0.0067
0.93
0.23
0.45
0.79
0.20
0.38
15.1
14.0
3.5
6.7
11.9
3.0
5.7
70 years
1,875,175
0.0067
0.92
0.23
0.44
0.79
0.20
0.38
14.4
13.3
3.3
6.4
11.3
2.9
5.5
71 years
1,788,269
0.0064
0.88
0.22
0.42
0.75
0.19
0.36
13.8
12.1
3.1
5.9
10.3
2.6
5.0
72 years
1,791,696
0.0064
0.88
0.22
0.42
0.75
0.19
0.36
13.1
11.5
2.9
5.6
9.8
2.5
4.7
73 years
1,725,168
0.0061
0.85
0.21
0.41
0.72
0.18
0.35
12.5
10.6
2.7
5.1
9.0
2.3
4.4
74 years
1,677,133
0.0060
0.83
0.21
0.40
0.70
0.18
0.34
11.9
9.8
2.5
4.7
8.4
2.1
4.0
75 years
1,651,641
0.0059
0.81
0.20
0.39
0.69
0.17
0.33
11.3
9.2
2.3
4.4
7.8
2.0
3.8
Economic Analysis for the LT2ESWTR
U -54
December 2005
-------
Exhibit U.6c: Annualized Life-Years Saved Based on Medium Estimate Dose Response Model, Alternative A3, by Data Set
Age Group
U.S.
Population
% Population
(Percent)
Annualized Deaths Avoided,
3% Discount
Annualized Deaths Avoided,
7% Discount
Life
Expectancy
(years)
Annualized Life-Years Saved,
3% Discount (years)
Annualized Life-Years Saved,
7% Discount (years)
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
A
B
C
D
E
F
G
H
I
J
K
L
M
N
0
P
76 years
1,556,567
0.0055
0.77
0.19
0.37
0.65
0.16
0.31
10.7
8.2
2.1
3.9
7.0
1.8
3.4
77 years
1,460,781
0.0052
0.72
0.18
0.35
0.61
0.15
0.30
10.2
7.3
1.8
3.5
6.2
1.6
3.0
78 years
1,431,916
0.0051
0.70
0.18
0.34
0.60
0.15
0.29
9.6
6.8
1.7
3.3
5.8
1.5
2.8
79 years
1,314,908
0.0047
0.65
0.16
0.31
0.55
0.14
0.27
9.1
5.9
1.5
2.8
5.0
1.3
2.4
80 years
1,207,365
0.0043
0.59
0.15
0.29
0.51
0.13
0.24
8.6
5.1
1.3
2.5
4.4
1.1
2.1
81 years
1,072,048
0.0038
0.53
0.13
0.25
0.45
0.11
0.22
8.1
4.3
1.1
2.1
3.6
0.9
1.8
82 years
981,562
0.0035
0.48
0.12
0.23
0.41
0.10
0.20
7.6
3.7
0.9
1.8
3.1
0.8
1.5
83 years
883,063
0.0031
0.43
0.11
0.21
0.37
0.09
0.18
7.2
3.1
0.8
1.5
2.7
0.7
1.3
84 years
801,329
0.0028
0.39
0.10
0.19
0.34
0.08
0.16
6.7
2.6
0.7
1.3
2.3
0.6
1.1
85 years
730,194
0.0026
0.36
0.09
0.17
0.31
0.08
0.15
6.3
2.3
0.6
1.1
1.9
0.5
0.9
86 years
635,154
0.0023
0.31
0.08
0.15
0.27
0.07
0.13
6.0
1.9
0.5
0.9
1.6
0.4
0.8
87 years
557,330
0.0020
0.27
0.07
0.13
0.23
0.06
0.11
5.6
1.5
0.4
0.7
1.3
0.3
0.6
88 years
465,481
0.0017
0.23
0.06
0.11
0.20
0.05
0.09
5.3
1.2
0.3
0.6
1.0
0.3
0.5
89 years
401,659
0.0014
0.20
0.05
0.10
0.17
0.04
0.08
5.0
1.0
0.2
0.5
0.8
0.2
0.4
90 years
327,904
0.0012
0.16
0.04
0.08
0.14
0.03
0.07
4.7
0.8
0.2
0.4
0.6
0.2
0.3
91 years
266,386
0.0009
0.13
0.03
0.06
0.11
0.03
0.05
4.4
0.6
0.1
0.3
0.5
0.1
0.2
92 years
218,217
0.0008
0.11
0.03
0.05
0.09
0.02
0.04
4.1
0.4
0.1
0.2
0.4
0.1
0.2
93 years
169,066
0.0006
0.08
0.02
0.04
0.07
0.02
0.03
3.9
0.3
0.1
0.2
0.3
0.1
0.1
94 years
130,958
0.0005
0.06
0.02
0.03
0.05
0.01
0.03
3.7
0.2
0.1
0.1
0.2
0.1
0.1
95 years
98,095
0.0003
0.05
0.01
0.02
0.04
0.01
0.02
3.5
0.2
0.0
0.1
0.1
0.0
0.1
96 years
72,680
0.0003
0.04
0.01
0.02
0.03
0.01
0.01
3.3
0.1
0.0
0.1
0.1
0.0
0.0
97 years
52,844
0.0002
0.03
0.01
0.01
0.02
0.01
0.01
3.1
0.1
0.0
0.0
0.1
0.0
0.0
98 years
36,003
0.0001
0.02
0.00
0.01
0.02
0.00
0.01
2.9
0.1
0.0
0.0
0.0
0.0
0.0
99 years
27,162
0.0001
0.01
0.00
0.01
0.01
0.00
0.01
2.7
0.0
0.0
0.0
0.0
0.0
0.0
>=100 years
50,454
0.0002
0.02
0.01
0.01
0.02
0.01
0.01
2.6
0.1
0.0
0.0
0.1
0.0
0.0
Sources: Colums A,B - U.S. Census (2000), Summary File 2
Columns D -1, Row titled "Total Across Intervals", from Exhibit C.10
Column J - National Vital Statistics Reports, Vol. 51, No. 3, December 29, 2002, "Life table for the total population: United States, 2000"
Economic Analysis for the LT2ESWTR
U -55
December 2005
-------
Exhibit U.6d: Annualized Life-Years Saved Based on Medium Estimate Dose Response Model, Alternative A4, by Data Set
Age Group
U.S.
Population
% Population
(Percent)
Annualized Deaths Avoided,
3% Discount
Annualized Deaths Avoided,
7% Discount
Life
Expectancy
(years)
Annualized Life-Years Saved,
3% Discount (years)
Annualized Life-Years Saved,
7% Discount (years)
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
TOTAL
281,421,906
1.00
131.8
31.3
60.7
112.3
26.7
51.7
5,787.3
1,376.2
2,665.5
4932
1174
2273
_
_
B/(281,421,906)
C * 131.8
C * 31.3
C * 60.7
C * 112.3
C * 26.7
C * 51.7
_
D * J
E * J
F * J
G * J
H * J
I * J
Under 1 year
3,805,648
0.0135
1.78
0.42
0.82
1.52
0.36
0.70
76.9
137.0
32.6
63.1
116.8
27.8
53.8
1 year
3,820,582
0.0136
1.79
0.43
0.82
1.52
0.36
0.70
76.4
136.7
32.5
62.9
116.5
27.7
53.7
2 years
3,790,446
0.0135
1.77
0.42
0.82
1.51
0.36
0.70
75.4
133.8
31.8
61.6
114.0
27.2
52.6
3 years
3,832,799
0.0136
1.79
0.43
0.83
1.53
0.36
0.70
74.5
133.7
31.8
61.6
113.9
27.1
52.5
4 years
3,926,323
0.0140
1.84
0.44
0.85
1.57
0.37
0.72
73.5
135.1
32.1
62.2
115.2
27.4
53.1
5 years
3,965,103
0.0141
1.86
0.44
0.86
1.58
0.38
0.73
72.5
134.6
32.0
62.0
114.7
27.3
52.9
6 years
4,019,705
0.0143
1.88
0.45
0.87
1.60
0.38
0.74
71.5
134.6
32.0
62.0
114.7
27.3
52.8
7 years
4,118,147
0.0146
1.93
0.46
0.89
1.64
0.39
0.76
70.5
135.9
32.3
62.6
115.9
27.6
53.4
8 years
4,179,230
0.0149
1.96
0.47
0.90
1.67
0.40
0.77
69.5
136.0
32.3
62.6
115.9
27.6
53.4
9 years
4,267,320
0.0152
2.00
0.48
0.92
1.70
0.41
0.78
68.6
137.1
32.6
63.1
116.8
27.8
53.8
10 years
4,274,056
0.0152
2.00
0.48
0.92
1.71
0.41
0.79
67.6
135.3
32.2
62.3
115.3
27.4
53.1
11 years
4,115,093
0.0146
1.93
0.46
0.89
1.64
0.39
0.76
66.6
128.3
30.5
59.1
109.4
26.0
50.4
12 years
4,075,842
0.0145
1.91
0.45
0.88
1.63
0.39
0.75
65.6
125.2
29.8
57.7
106.7
25.4
49.2
13 years
4,010,850
0.0143
1.88
0.45
0.86
1.60
0.38
0.74
64.6
121.3
28.8
55.9
103.4
24.6
47.6
14 years
4,052,231
0.0144
1.90
0.45
0.87
1.62
0.38
0.75
63.6
120.7
28.7
55.6
102.8
24.5
47.4
15 years
4,019,404
0.0143
1.88
0.45
0.87
1.60
0.38
0.74
62.6
117.8
28.0
54.3
100.4
23.9
46.3
16 years
3,975,021
0.0141
1.86
0.44
0.86
1.59
0.38
0.73
61.7
114.8
27.3
52.9
97.9
23.3
45.1
17 years
4,046,012
0.0144
1.89
0.45
0.87
1.61
0.38
0.74
60.7
115.0
27.3
53.0
98.0
23.3
45.2
18 years
4,051,598
0.0144
1.90
0.45
0.87
1.62
0.38
0.74
59.7
113.3
26.9
52.2
96.5
23.0
44.5
19 years
4,127,855
0.0147
1.93
0.46
0.89
1.65
0.39
0.76
58.8
113.6
27.0
52.3
96.9
23.1
44.6
20 years
4,049,448
0.0144
1.90
0.45
0.87
1.62
0.38
0.74
57.8
109.6
26.1
50.5
93.4
22.2
43.0
21 years
3,841,082
0.0136
1.80
0.43
0.83
1.53
0.36
0.71
56.9
102.3
24.3
47.1
87.2
20.8
40.2
22 years
3,758,648
0.0134
1.76
0.42
0.81
1.50
0.36
0.69
55.9
98.4
23.4
45.3
83.8
20.0
38.6
23 years
3,673,582
0.0131
1.72
0.41
0.79
1.47
0.35
0.68
55.0
94.6
22.5
43.6
80.6
19.2
37.2
24 years
3,641,241
0.0129
1.70
0.41
0.79
1.45
0.35
0.67
54.0
92.1
21.9
42.4
78.5
18.7
36.2
25 years
3,744,539
0.0133
1.75
0.42
0.81
1.49
0.36
0.69
53.1
93.1
22.1
42.9
79.3
18.9
36.6
Economic Analysis for the LT2ESWTR
U -56
December 2005
-------
Exhibit U.6d: Annualized Life-Years Saved Based on Medium Estimate Dose Response Model, Alternative A4, by Data Set
Age Group
U.S.
Population
% Population
(Percent)
Annualized Deaths Avoided,
3% Discount
Annualized Deaths Avoided,
7% Discount
Life
Expectancy
(years)
Annualized Life-Years Saved,
3% Discount (years)
Annualized Life-Years Saved,
7% Discount (years)
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
A
B
C
D
E
F
G
H
I
J
K
L
M
N
0
P
26 years
3,619,660
0.0129
1.69
0.40
0.78
1.44
0.34
0.67
52.1
88.3
21.0
40.7
75.3
17.9
34.7
27 years
3,789,800
0.0135
1.77
0.42
0.82
1.51
0.36
0.70
51.2
90.9
21.6
41.8
77.4
18.4
35.7
28 years
3,984,812
0.0142
1.87
0.44
0.86
1.59
0.38
0.73
50.2
93.7
22.3
43.1
79.8
19.0
36.8
29 years
4,242,525
0.0151
1.99
0.47
0.91
1.69
0.40
0.78
49.3
97.9
23.3
45.1
83.5
19.9
38.5
30 years
4,289,970
0.0152
2.01
0.48
0.93
1.71
0.41
0.79
48.3
97.0
23.1
44.7
82.7
19.7
38.1
31 years
4,011,575
0.0143
1.88
0.45
0.87
1.60
0.38
0.74
47.4
89.0
21.2
41.0
75.9
18.1
35.0
32 years
3,994,121
0.0142
1.87
0.44
0.86
1.59
0.38
0.73
46.5
87.0
20.7
40.1
74.1
17.6
34.1
33 years
4,026,573
0.0143
1.89
0.45
0.87
1.61
0.38
0.74
45.5
85.8
20.4
39.5
73.1
17.4
33.7
34 years
4,188,149
0.0149
1.96
0.47
0.90
1.67
0.40
0.77
44.6
87.5
20.8
40.3
74.5
17.7
34.3
35 years
4,516,118
0.0160
2.11
0.50
0.97
1.80
0.43
0.83
43.6
92.2
21.9
42.5
78.6
18.7
36.2
36 years
4,511,168
0.0160
2.11
0.50
0.97
1.80
0.43
0.83
42.7
90.2
21.4
41.5
76.9
18.3
35.4
37 years
4,517,060
0.0161
2.12
0.50
0.97
1.80
0.43
0.83
41.7
88.2
21.0
40.6
75.2
17.9
34.6
38 years
4,553,814
0.0162
2.13
0.51
0.98
1.82
0.43
0.84
40.8
87.0
20.7
40.1
74.1
17.7
34.2
39 years
4,608,504
0.0164
2.16
0.51
0.99
1.84
0.44
0.85
39.9
86.1
20.5
39.7
73.4
17.5
33.8
40 years
4,711,434
0.0167
2.21
0.52
1.02
1.88
0.45
0.87
38.9
85.8
20.4
39.5
73.1
17.4
33.7
41 years
4,466,676
0.0159
2.09
0.50
0.96
1.78
0.42
0.82
38.0
79.5
18.9
36.6
67.7
16.1
31.2
42 years
4,547,220
0.0162
2.13
0.51
0.98
1.81
0.43
0.84
37.1
79.0
18.8
36.4
67.3
16.0
31.0
43 years
4,407,870
0.0157
2.06
0.49
0.95
1.76
0.42
0.81
36.2
74.7
17.8
34.4
63.7
15.2
29.3
44 years
4,308,663
0.0153
2.02
0.48
0.93
1.72
0.41
0.79
35.3
71.2
16.9
32.8
60.7
14.4
28.0
45 years
4,341,460
0.0154
2.03
0.48
0.94
1.73
0.41
0.80
34.4
69.9
16.6
32.2
59.6
14.2
27.5
46 years
4,087,563
0.0145
1.91
0.46
0.88
1.63
0.39
0.75
33.5
64.1
15.2
29.5
54.6
13.0
25.2
47 years
4,019,692
0.0143
1.88
0.45
0.87
1.60
0.38
0.74
32.6
61.4
14.6
28.3
52.3
12.4
24.1
48 years
3,885,145
0.0138
1.82
0.43
0.84
1.55
0.37
0.71
31.7
57.7
13.7
26.6
49.1
11.7
22.6
49 years
3,758,544
0.0134
1.76
0.42
0.81
1.50
0.36
0.69
30.8
54.2
12.9
25.0
46.2
11.0
21.3
50 years
3,808,515
0.0135
1.78
0.42
0.82
1.52
0.36
0.70
30.0
53.5
12.7
24.6
45.6
10.9
21.0
Economic Analysis for the LT2ESWTR
U -57
December 2005
-------
Exhibit U.6d: Annualized Life-Years Saved Based on Medium Estimate Dose Response Model, Alternative A4, by Data Set
Age Group
U.S.
Population
% Population
(Percent)
Annualized Deaths Avoided,
3% Discount
Annualized Deaths Avoided,
7% Discount
Life
Expectancy
(years)
Annualized Life-Years Saved,
3% Discount (years)
Annualized Life-Years Saved,
7% Discount (years)
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
A
B
C
D
E
F
G
H
I
J
K
L
M
N
0
P
51 years
3,616,997
0.0129
1.69
0.40
0.78
1.44
0.34
0.67
29.1
49.3
11.7
22.7
42.0
10.0
19.4
52 years
3,707,436
0.0132
1.74
0.41
0.80
1.48
0.35
0.68
28.2
49.0
11.6
22.5
41.7
9.9
19.2
53 years
3,635,040
0.0129
1.70
0.40
0.78
1.45
0.35
0.67
27.4
46.6
11.1
21.5
39.7
9.5
18.3
54 years
2,817,560
0.0100
1.32
0.31
0.61
1.12
0.27
0.52
26.5
35.0
8.3
16.1
29.8
7.1
13.7
55 years
2,850,600
0.0101
1.33
0.32
0.61
1.14
0.27
0.52
25.7
34.3
8.2
15.8
29.2
7.0
13.5
56 years
2,837,452
0.0101
1.33
0.32
0.61
1.13
0.27
0.52
24.8
32.9
7.8
15.2
28.1
6.7
12.9
57 years
2,864,020
0.0102
1.34
0.32
0.62
1.14
0.27
0.53
24.0
32.2
7.7
14.8
27.4
6.5
12.6
58 years
2,540,152
0.0090
1.19
0.28
0.55
1.01
0.24
0.47
23.2
27.6
6.6
12.7
23.5
5.6
10.8
59 years
2,377,013
0.0084
1.11
0.26
0.51
0.95
0.23
0.44
22.4
24.9
5.9
11.5
21.2
5.1
9.8
60 years
2,319,944
0.0082
1.09
0.26
0.50
0.93
0.22
0.43
21.6
23.5
5.6
10.8
20.0
4.8
9.2
61 years
2,221,227
0.0079
1.04
0.25
0.48
0.89
0.21
0.41
20.9
21.7
5.2
10.0
18.5
4.4
8.5
62 years
2,171,072
0.0077
1.02
0.24
0.47
0.87
0.21
0.40
20.1
20.4
4.9
9.4
17.4
4.1
8.0
63 years
2,053,151
0.0073
0.96
0.23
0.44
0.82
0.20
0.38
19.3
18.6
4.4
8.5
15.8
3.8
7.3
64 years
2,040,053
0.0072
0.96
0.23
0.44
0.81
0.19
0.38
18.6
17.8
4.2
8.2
15.1
3.6
7.0
65 years
2,029,911
0.0072
0.95
0.23
0.44
0.81
0.19
0.37
17.9
17.0
4.0
7.8
14.5
3.5
6.7
66 years
1,860,320
0.0066
0.87
0.21
0.40
0.74
0.18
0.34
17.2
15.0
3.6
6.9
12.8
3.0
5.9
67 years
1,896,451
0.0067
0.89
0.21
0.41
0.76
0.18
0.35
16.4
14.6
3.5
6.7
12.4
3.0
5.7
68 years
1,864,515
0.0066
0.87
0.21
0.40
0.74
0.18
0.34
15.8
13.8
3.3
6.4
11.8
2.8
5.4
69 years
1,882,348
0.0067
0.88
0.21
0.41
0.75
0.18
0.35
15.1
13.3
3.2
6.1
11.3
2.7
5.2
70 years
1,875,175
0.0067
0.88
0.21
0.40
0.75
0.18
0.34
14.4
12.6
3.0
5.8
10.8
2.6
5.0
71 years
1,788,269
0.0064
0.84
0.20
0.39
0.71
0.17
0.33
13.8
11.6
2.7
5.3
9.8
2.3
4.5
72 years
1,791,696
0.0064
0.84
0.20
0.39
0.71
0.17
0.33
13.1
11.0
2.6
5.1
9.4
2.2
4.3
73 years
1,725,168
0.0061
0.81
0.19
0.37
0.69
0.16
0.32
12.5
10.1
2.4
4.7
8.6
2.0
4.0
74 years
1,677,133
0.0060
0.79
0.19
0.36
0.67
0.16
0.31
11.9
9.3
2.2
4.3
8.0
1.9
3.7
75 years
1,651,641
0.0059
0.77
0.18
0.36
0.66
0.16
0.30
11.3
8.7
2.1
4.0
7.4
1.8
3.4
Economic Analysis for the LT2ESWTR
U -58
December 2005
-------
Exhibit U.6d: Annualized Life-Years Saved Based on Medium Estimate Dose Response Model, Alternative A4, by Data Set
Age Group
U.S.
Population
% Population
(Percent)
Annualized Deaths Avoided,
3% Discount
Annualized Deaths Avoided,
7% Discount
Life
Expectancy
(years)
Annualized Life-Years Saved,
3% Discount (years)
Annualized Life-Years Saved,
7% Discount (years)
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
ICR
ICRSSL
ICRSSM
A
B
C
D
E
F
G
H
I
J
K
L
M
N
0
P
76 years
1,556,567
0.0055
0.73
0.17
0.34
0.62
0.15
0.29
10.7
7.8
1.9
3.6
6.6
1.6
3.1
77 years
1,460,781
0.0052
0.68
0.16
0.32
0.58
0.14
0.27
10.2
7.0
1.7
3.2
5.9
1.4
2.7
78 years
1,431,916
0.0051
0.67
0.16
0.31
0.57
0.14
0.26
9.6
6.4
1.5
3.0
5.5
1.3
2.5
79 years
1,314,908
0.0047
0.62
0.15
0.28
0.52
0.12
0.24
9.1
5.6
1.3
2.6
4.8
1.1
2.2
80 years
1,207,365
0.0043
0.57
0.13
0.26
0.48
0.11
0.22
8.6
4.9
1.2
2.2
4.1
1.0
1.9
81 years
1,072,048
0.0038
0.50
0.12
0.23
0.43
0.10
0.20
8.1
4.1
1.0
1.9
3.5
0.8
1.6
82 years
981,562
0.0035
0.46
0.11
0.21
0.39
0.09
0.18
7.6
3.5
0.8
1.6
3.0
0.7
1.4
83 years
883,063
0.0031
0.41
0.10
0.19
0.35
0.08
0.16
7.2
3.0
0.7
1.4
2.5
0.6
1.2
84 years
801,329
0.0028
0.38
0.09
0.17
0.32
0.08
0.15
6.7
2.5
0.6
1.2
2.1
0.5
1.0
85 years
730,194
0.0026
0.34
0.08
0.16
0.29
0.07
0.13
6.3
2.2
0.5
1.0
1.8
0.4
0.8
86 years
635,154
0.0023
0.30
0.07
0.14
0.25
0.06
0.12
6.0
1.8
0.4
0.8
1.5
0.4
0.7
87 years
557,330
0.0020
0.26
0.06
0.12
0.22
0.05
0.10
5.6
1.5
0.3
0.7
1.2
0.3
0.6
88 years
465,481
0.0017
0.22
0.05
0.10
0.19
0.04
0.09
5.3
1.2
0.3
0.5
1.0
0.2
0.5
89 years
401,659
0.0014
0.19
0.04
0.09
0.16
0.04
0.07
5.0
0.9
0.2
0.4
0.8
0.2
0.4
90 years
327,904
0.0012
0.15
0.04
0.07
0.13
0.03
0.06
4.7
0.7
0.2
0.3
0.6
0.1
0.3
91 years
266,386
0.0009
0.12
0.03
0.06
0.11
0.03
0.05
4.4
0.5
0.1
0.3
0.5
0.1
0.2
92 years
218,217
0.0008
0.10
0.02
0.05
0.09
0.02
0.04
4.1
0.4
0.1
0.2
0.4
0.1
0.2
93 years
169,066
0.0006
0.08
0.02
0.04
0.07
0.02
0.03
3.9
0.3
0.1
0.1
0.3
0.1
0.1
94 years
130,958
0.0005
0.06
0.01
0.03
0.05
0.01
0.02
3.7
0.2
0.1
0.1
0.2
0.0
0.1
95 years
98,095
0.0003
0.05
0.01
0.02
0.04
0.01
0.02
3.5
0.2
0.0
0.1
0.1
0.0
0.1
96 years
72,680
0.0003
0.03
0.01
0.02
0.03
0.01
0.01
3.3
0.1
0.0
0.1
0.1
0.0
0.0
97 years
52,844
0.0002
0.02
0.01
0.01
0.02
0.01
0.01
3.1
0.1
0.0
0.0
0.1
0.0
0.0
98 years
36,003
0.0001
0.02
0.00
0.01
0.01
0.00
0.01
2.9
0.0
0.0
0.0
0.0
0.0
0.0
99 years
27,162
0.0001
0.01
0.00
0.01
0.01
0.00
0.00
2.7
0.0
0.0
0.0
0.0
0.0
0.0
>=100 years
50,454
0.0002
0.02
0.01
0.01
0.02
0.00
0.01
2.6
0.1
0.0
0.0
0.1
0.0
0.0
Economic Analysis for the LT2ESWTR
U -59
December 2005
------- |