r ;
903R90104
CBP/TRS 39/90
March 1990
Land Use for the
Chesapeake Bay
Watershed Model
U S Environmental Protection Agenc*
R«ionUI Information Resource
Center (3PM52)
841 Chestnut Street
Philadelphia, P* 19107
TD
225
• C54
L163
copy 2
Chesapeake
^ Ba^
Program
-------
Chesapeake Bay
Program
Land Use for the
Chesapeake Bay
Watershed Model
U.3. Environmental Protectign Agency
Region HI Information Resource
„_ . B C-Mier (3PM52)
Prepared By 811 Chestnut Street
Philadelphia, PA 19107
James E. Hannawald
Resource Conservationist, U.S.D.A., S.C.S.
Chesapeake Liaison Office
March 1990
Printed by the United States Environmental Protection Agency
for the
Chesapeake Bay Program
Printed on recycled paper
-------
LIST OF TABLES
No. Title Page
1 1978 Land Use by County 9
2 1985 Land Use by County 13
3 1978 Land Use for Watershed Model by Segments
Above the Fall Line 17
4 1978 Land Use for Watershed Model by Segments
Below the Fall Line 18
5 1985 Land Use for Watershed Model by Segments
Above the Fall Line 19
6 1985 Land Use for Watershed Model by Segments
Below the Fall Line 20
7 KRER and SLSUR Parameters Calculated from the
1982 NRI Report 21
8 Percent of Each County in Bay Model Segments 27
9-A % Urban Land in Various Categories by Segment
Above the Fall Line 38
9-B % Urban Land in Various Categories by Segment
Below the Fall Line 39
10 % of Conservation Tillage and Conventional
Tillage by County - 1985 40
11 Forest Land Acreage 44
(NOTE: Maps showing Bay Basin Model Segments appear on pages
6 and 7.)
-------
This report documents the methods used to refine and update land use data
for the new Chesapeake Bay Watershed Model.
The origin of this work goes back to January 1983 when Northern Virginia
Planning District C, Annandale, Virginia, issued a report documenting its
work in developing a basin model for the Chesapeake Bay Program. The
proprietory nature of the NVPDC model and the fact that its operation
required an IBM mainframe system led the Chesapeake Bay Program Modeling
Subcommittee to recommend transfer of the Basin Model to the DEC VAX
computer at the Chesapeake Bay Liaison Office (CBLO). The Hydrological
Simulation Program-FORTRAN (HSPF) was available on the VAX computer. In
June 1985, the Implementation Committee accepted the recommendations of the
Modeling Subcommittee to update, convert and transfer the model to the CBLO
computer.
It became apparent during the conversion process that a reevaluation of the
1978 land use data used in the Basin Model would be required. This process
began in January 1986.
Appendix B of the report, "Chesapeake Bay: A Framework For Action,"
includes the statement: "It is difficult, if not impossible, to derive
precise land-use statistics for the Chesapeake Bay basin." The
difficulties have not diminished, but much work has been done, as this
report shows, to improve the accuracy of the land use data employed by the
model.
-------
LAND USE
There is no uniform system or method in place to collect land use data in
the Chesapeake Bay basin. Maryland has its Maryland Geographic Information
System (MAGI) for the early seventies and 1985. The USGS Land Use and Land
Cover System is available for 1972-73. Both of these systems have been
utilized in developing the 1978 and 1985 data sets, but they did not
constitute a uniform method of determining land use.
Several other sources of information on land use at the county level have
been used throughout the basin. The Census Bureau has collected
statistics on agricultural land use since the 1800s. The U.S. Forest
Service has conducted state forestry surveys since the 1940s. More
recently, the Soil Conservation Service (SCS) of the U.S. Department of
Agriculture carried out the National Resources Inventor/. In addition, SCS
periodically conducts a "Work Load Analysis" based, in part, on land use
in a county.
LAND USE FOR 1978
Although obtaining reliable land use data for the Chesapeake Bay Basin was
a seemingly impossible task, preliminary 1978 land use data were
determined by utilizing several existing data sets.
The CENSUS OF AGRICULTURE FOR 1978 AND 1982, VOLUME 1, GEOGRAPHIC AREA
SERIES, published for each State the by U. S. Department of Commerce,
Bureau of the Census, provided data on land area, cropland, and pasture.
The 1982 Ag Census was used to determine the total land area of each county
in the basin. Combining several cropland categories from the 1978 Ag
Census produced cropland acreage figures by county. The same was done for
pasture land.
Woodland land use was derived from USDA Forest Service "Timber Surveys."
The latest publication available was used to obtain a woodland acreage
figure. All "Other Land" in the Ag Census was added to the woodland
acreage to create a land use as similar as possible to the definition used
in the watershed model.
Neither the Ag Census nor the Timber Surveys accounts for urban land.
Urban land area was determined by the subtracting the above uses from the
total acreage of each county. Any negative numbers became zero and were
taken from the woodland acreage.
The resulting preliminary 1978 land use data set was sent to State offices
of SCS for revision and/or confirmation. All States made revisions. Each
State used its own methods to determine land use data. Sources included
"work load analysis" studies, National Resources Inventory data, State
planning agencies, and local county field offices of the SCS. The new data
set (Table 1), gives county-by-county breakdowns for four categories of
land use: Cropland, Pasture, Woodland and Urban.
-------
SCS Personnel assisting in developing the 1978 data set were:
David Benner, Assistant State Conservationist, Delaware
Jeffery Loser, State Resource Conservationist, Maryland
Phillip Nelson, Assistant State Conservationist, New York
Robert Heidecker, State Resource Conservationist, Pennsylvania
Willis Miller, Assistant State Conservationist, Virginia
Bruce Julian, State Resource Conservationist, Virginia
Ken Carter, Soil Conservationist, Virginia
Dixie Shreve, State Resource Conservationist, West Virginia
Ernest L. Moody, District Conservationist, District of Columbia
LAND USE FOR 1985
To develop the 1985 land use data set, the 1978 data were sent to SCS State
offices, along with an update of cropland and pasture from the 1982 Ag
Census. States processed and updated the land use to 1985 (Table 2), using
the same four categories employed for the 1978 data. Pennsylvania data
were updated by the Department of Environmental Resources.
SCS Personnel assisting with the 1985 data were:
David Benner, Assistant State Conservationist, Delaware
Jeffery Loser, State Resource Conservationist, Maryland
Phillip Nelson, Assistant State Conservationist, New York
Robert Heidecker, State Resource Conservationist, Pennsylvania
Timothy Murphy, Hydraulic Engineer, Pennsylvania
Bruce Julian, State Resource Conservationist, Virginia
Dixie Shreve, State Resource Conservationist, West Virginia
Ernest L. Moody, District Conservationist, District of Columbia
CROPLAND TILLAGE
The NVPDC watershed model divided cropland into two categories: low-till
(representing no-tilled cropland) and high-till (fall-plowed, conventional-
tilled cropland). Tillage data sets to depict low-till and high-till land
uses in the HSPF watershed model were derived in two ways.
County-level tillage information for the 1985 land use data set was
obtained from the Conservation Tillage Information Center, West Lafayette,
Indiana. The Center, now called the Conservation Technology Information
Center (CTIC), is a clearinghouse for information on soil conservation,
water conservation, and water quality practices on cropland. Established
as a special project of the National Association of Conservation Districts,
CTIC is administered in cooperation with the agricultural industry,
governmental agencies, private foundations and organizations, and farmers.
CTIC conducts a county-by-county survey each year of acreage of crops grown
under different tillage systems. Its data for 1985 were the basis for the
low-till and high-till cropland acres in the 1985 land use data set. CTIC
tillage data were processed to eliminate any duplication due to double
cropping. The percentage of cropland under conservation tillage was
calculated for each county (Table 10).
-------
A different approach was necessary to construct the 1978 land use data set.
The Conservation Tillage Information Center was not yet in existence at
that time, but SCS was providing annual estimates of no-till and minimum-
till acres on a State basis to the NO-TILL FARMER magazine.
Tillage figures SCS agronomists sent to the magazine for 1978 were used as
baseline data for the data set for that year. These were statewide totals.
Estimates of the proportion of conservation tillage for each State in the
Chesapeake watershed were established in discussions with the people listed
below. The following table shows the percentage of conservation tillage
used for 1978 for each of these States:
STATE % CONSERVATION TILLAGE
DE 41
MD 33
NY 5
PA 17
VA 28
WV 37
People contacted for assistance to construct the 1978 tillage data were:
Bruce Julian CTIC
Dave Schultz SCS, National Agronomist
Bob Hiedecker SCS, State Resource Conservationist, PA
John Spitzer SCS, Agronomist, PA
Willis Miller SCS, Assistant State Conservationist, VA
Orland Parks SCS, Agronomist, WV
Fred Gaffney SCS, Agronomist, NY
Jeffery Loser SCS, State Resource Conservationist, MD and DE
John Minnick SCS, Agronomist, MD and DE
Compared to the tillage figures used in the NVPDC model, those derived for
the HSPF model more nearly reflect spring-plowed, conventional-tilled and
conservation-tilled cropland.
Water Acres
During the Phase I recalibration of the HSPF model the decision was made to
account for water acreage, a category not included in the NVPDC model.
Water acreage data were obtained from the USGS Land Use/Land Cover compiled
from NASA high-altitude aerial photographs and National High-Altitude
Photography (NHAP) program photographs. This information is in the
Geographic Information System (GIS) at CBLO. The CIS was used to find the
acreage of water in each segment except for segments 10 and 20 in New York,
where data were not available. The National Resources Inventory (NRI) was
used to determine water acreage in those segments.
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Manure Acres
The original watershed model did not address the potential nutrient loads
going into the streams or the Bay from animal wastes. Manure acres is a
method that will allow the model to simulate the nutrients from manure
produced in a segment. These acres do not denote animal concentrations;
neither do they represent manure piles or manure stacking facilities.
Tons of manure produced were calculated from the livestock numbers in the
1982 Ag Census. This tonnage was divided by a "compromise animal unit"
production of 15 tons of manure per animal unit. Total animal units were
divided by a "compromise animal density" of 145 animals per acre, yielding
the number of manure acres. In the model, these manure acres will receive
a higher loading rate that would indicate a feed lot. These manure acres
are deducted from pasture acreage; as manure is stored and treated through
the implementation program these acres will revert to pasture acres for
modeling. This will allow the model to track agricultural waste storage
practices and show changes which may occur.
Land Use by Model Segment
In converting county land use data to HSPF Model Segment data, the
assumption was made that all land uses are evenly distributed within a
county. The land uses are then proportioned by percent of the county in
each segment (Tables 3, 4, 5 and 6). The CIS system at CBLO was used to
estimate county acreage in each segment, as shown in Table 8.
Urban Land Sub-Categories
The CIS system was used to break urban land into sub-categories similar to
those used in the NVPDC model. The 1972 data were used to determine
percentages for industrial, commercial, residential, institutional, and
transportation categories (Tables 9-A and 9-B). The model, however, will
simulate only one urban land use based on area-weighted parameters for the
five sub-categories.
Land Use Parameters
During the Phase I Recalibration of the Chesapeake Bay Watershed Model it
became apparent that some of the parameters associated with land use should
be refined. Each of these parameters is discussed below.
COVER = Land surface cover parameter
COVER represents the fraction of land surface covered by canopy, crop
residue, etc., and therefore protected from raindrop erosion. It is used
to determine the unprotected fraction of the land surface, which is used in
the generation of sediment fines that can be transported by runoff as part
of the erosion process. The twelve monthly values used in the model
represent the land cover on the first day of the month.
-------
Proposed New Values;
JAN FEE MAR APR MAY JUN JUL AUG SEP OCT MOV DEC
FOREST (all segments)
1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00
PASTURE
(1) .60 .60 .60 .75 .95 .98 .98 .95 .95 .75 .70 .65
(2) .63 .60 .65 .78 .95 .98 .98 .94 .95 .77 .72 .67
(3) .65 .60 .70 .80 .95 .98 .98 .93 .95 .80 .75 .70
URBAN (all segments)
.93 .93 .93 .93 .96 .96 .96 .96 .96 .93 .93 .93
HIGH-TILL CROPLAND
(1) .40 .35 .35 .40 0.0 .30 .80 .95 .90 .65 .55 .50
(2) .40 .40 .35 .35 .10 .40 .80 .95 .90 .70 .60 .50
(3) .40 .45 .45 0.0 .25 .45 .85 .95 .85 .75 .60 .50
LOW-TILL CROPLAND
(I) .50
(2) .53
(3) .55
.45
.50
.55
.45
.50
.55
.45
.47
.50
.50
.57
.65
.65
.70
.80
.95
.95
.95
.95
.95
.95
.95
.95
.95
.65
.70
.75
.60
.62
.65
.55
.57
.60
(The numbers in parenthesis represent regional areas that are similar.)
SLSUR - Land slope for overland flow
SLSUR represents the slope for overland flow which impacts the hydrology
and the sediment erosion simulation in the model.
These data were obtained from the National Resources inventory (NRI). The
NRI data set is a compilation of sample points throughout the nation. Only
those points in the basin were used to determine an average slope for each
land use (cropland, woodland and pasture) in each segment. Erosion
parameters were not collected for urban points. Values obtained from NRI
data for cropland will be used for urban areas. *
KRER = Coefficient in the soil fines detachment equation
KRER, in conjunction with the COVER parameter, controls the amount of fine
sediment detached by raindrop impact and thus available to be transported
by overland flow. KRER is usually estimated by assuming it is equal to the
Universal Soil Loss Equation (USLE) "K," but this value could be adjusted
in the calibration process (Table 7).
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Chesapeake Bay Basin
Model Segments
— above fall line —
-------
Chesapeake Bay Basin
Model Sub-Basins
— below fall line —
MD
Baltimore
v Harbor , _ ,
* MD Patapsco
Bohemia
/ ( Potomac
Anacostia
Wicomico
Chickahominy
Nansemond
Bizabeth
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TABLE 1
1978 LAND USE BY COUNTY
Final figures for 1978 land use as presented by the State Offices of SCS after
their revisions of the orginal data from the Agricultural Census and Timber
Surveys. TOTAL ACS. is the total land acreage of the county as listed in the
Agricultual Census. CROPLAND is land used for a harvestable crop. PASTURE is
land with permanent grass cover, used to graze animals. WOODLAND includes land
in forest, orchards, nurseries, or idle land. In some cases, this category also
includes wetlands. URBAN represents land that has been developed for roads or
residential, commercial, industrial and other uses.
STATE COUNTY
DC WASHINGTON
DE KENT
DE NEW CASTLE
DE SUSSEX
MD ALLEGANY
MD ANNE ARUNDEL
MD BALTIMORE
MD CALVERT
MD CAROLINE
MD CARROLL
MD CECIL
MD CHARLES
MD DORCHESTER
MD FREDERICK
MD GARRETT
MD HARFORD
MD HOWARD
MD KENT
MD MONTGOMERY
MD PRINCE GEORGES
MD QUEEN ANNES
MD SOMERSET
MD ST MARYS
MD TALBOT
MD WASHINGTON
MD WICOMICO
MD WORCESTER
NY ALLEGANY
NY BROOME
NY CHEMUNG
NY CHENANGO
NY CORTLAND
NY DELAWARE
NY HERKIMER
NY LIVINGSTON
NY MADISON
NY ONEIDA
TOTAL ACS.
CROPLAND
PASTURE
WOODLAND
URBAN
37760
380633
253222
602848
269286
267756
433881
136467
205305
289267
230112
289011
379660
424140
420371
286489
160640
178137
317081
311686
237990
216582
238425
165516
291180
242624
303910
660550
455366
262854
574278
320185
921395
906528
404928
419968
780064
0
194000
101893
293682
28000
23217
62700
25000
102564
136000
60000
40363
110000
163000
45100
69600
33644
107765
75000
32811
133908
39064
53000
92392
105200
74279
78680
94357
54272
32141
98270
73900
98706
92257
160846
122263
139974
0
8800
6184
10665
35000
5798
29800
3500
3188
49000
14158
5000
2500
54000
30992
34658
20600
5947
27000
10650
5147
2060
7000
3509
48100
2735
4635
49881
36960
15582
70360
49611
97530
59432
36286
51245
78355
3200
149833
71145
260295
183286
126010
147560
87967
77920
81267
87991
193000
257160
137140
305779
138673
52396
53152
95081
134686
66127
172062
126425
45404
98280
121780
210595
421500
279400
158000
340300
158100
624300
388100
120100
196200
413200
34560
28000
74000
38206
23000
112731
193821
20000
21633
23000
67963
50648
10000
70000
38500
43558
54000
11273
120000
133539
32808
3396
52000
24211
39600
43830
10000
94812
84734
57131
65348
38574
100859
366739
87696
50260
148535
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Table 1 contd. - 1978 LftND USE BY COUNTY
STATE COUNTY TOTAL ACS. CROPLAND
PASTURE
WOODLAND
URBAN
NY
NY
NY
NY
NY
NY
NY
NY
NY
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
ONONDAGA
ONTARIO
OTSEGO
SCHOHARIE
SCHUYLER
STEUBEN
TIOGA
TOMPKINS
YATES
ADAMS
BEDFORD
BERKS
BLAIR
BRADFORD
CAMBRIA
CAMERON
CENTRE
CHESTER
CLEARFIELD
CLINTON
COLUMBIA
CUMBERLAND
DAUPHIN
ELK
FRANKLIN
FULTON
HUNTINGDON
INDIANA
JUNIATA
LACKAWANNA
LANCASTER
LEBANON
LUZERNE
LYCOMING
MCKEAN
MIFFLIN
MONTOUR
NORTHUMBERLAND
PERRY
POTTER
SCHUYLKILL
SNYDER
SOMERSET
SULLIVAN
SUSQUEHANNA
TIOGA
UNION
WAYNE
502060
412185
642432
399328
210784
893574
332275
305184
216928
333318
650636
550880
337414
737350
442284
254976
707891
484851
735289
570464
310988
349836
337785
531142
495078
280012
561433
530656
250649
295104
609356
232019
570220
791852
626342
264128
83852
294848
356217
692064
500179
210656
686944
288614
528614
723974
202835
467993
116558
159371
114835
79781
38527
200683
61538
69041
74265
135100
138900
228400
52400
233600
60700
1000
88700
143400
54500
29800
103600
131100
91700
8604
164800
59500
86000
96100
62300
32700
322000
96400
53800
109500
13700
50000
42600
122400
76900
39700
83600
69700
132000
14467
113300
113700
57800
67800
26200
24094
78994
38345
16146
84580
30792
18216
10943
37700
57000
39500
12800
104200
44900
900
33900
81900
47300
7000
12800
24300
18200
3625
54100
17300
37200
63400
11600
17700
69300
17700
9700
35100
16300
16100
3500
11800
12800
50900
10400
9100
69300
9140
57000
102000
6800
42300
199900
142700
369500
256700
122200
478100
193600
171500
84000
141618
438536
220080
246514
374950
300384
248900
553291
106951
596889
521464
168388
139236
173985
506913
238978
195412
424033
342656
163149
190604
129756
94819
441620
620652
575942
186228
29952
136748
252117
588364
373979
120156
453144
261992
336314
491274
129835
324293
159402
86020
79103
24502
33911
130211
46345
46427
47720
18900
16200
62900
25700
24600
36300
4176
32000
152600
36600
12200
26200
55200
53900
12000
37200
7800
14200
28500
13600
54100
88300
23100
65100
26600
20400
11800
7800
23900
14400
13100
32200
11700
32500
3015
22000
17000
8400
33600
10
-------
Table 1 contd. - 1978 LAND USE BY COUNTY
STATE COUNTY
PA WYOMING
PA YORK
VA ACCOMACK
VA ALBEMARLE
VA ALLEGHANY
VA AMELIA
VA AMHERST
VA APPOMATTOX
VA ARLINGTON
VA AUGUSTA
VA BATH
VA BEDFORD
VA BOTETOURT
VA BUCKINGHAM
VA CAMPBELL
VA CAROLINE
VA CHARLES CITY
VA CHESAPEAKE CITY
VA CHESTERFIELD
VA CLARKE
VA CRAIG
VA CULPEPER
VA CUMBERLAND
VA DINWIDDIE
VA ESSEX
VA FAIRFAX
VA FAUQUIER
VA FLUVANNA
VA FREDERICK
VA FREDERICKBURG
VA GILES
VA GLOUCESTER
VA GOOCHLAND
VA GREENE
VA HAMPTON
VA HANOVER
VA HENRICO
VA HIGHLAND
VA ISLE OF WRIGHT
VA JAMES CITY
VA KING AND QUEEN
VA KING GEORGE
VA KING WILLIAM
VA LANCASTER
VA LOUDOUN
VA LOUISA
VA MADISON
TOTAL ACS.
CROPLAND
PASTURE
WOODLAND
URBAN
255609
579788
304435
470828
290315
228409
306246
215078
16614
643096
344051
482617
348550
373401
355040
342694
116128
270656
282828
114137
211084
244480
191712
339129
168051
266590
416569
185510
271532
3904
231654
144121
180032
100371
32838
299155
190828
266112
204454
101292
202982
115244
177766
85043
333497
317804
205913
36900
240700
79319
45025
10152
38825
23211
33403
0
115236
8063
75008
40716
35173
56930
36271
14371
46579
9656
32061
7187
47810
28240
52135
40214
12061
98835
22742
59311
0
32434
18074
28178
9672
0
69228
37739
9859
60433
19314
25679
20531
37506
18014
97739
36863
33067
10000
80600
1697
76899
9328
12171
52504
24399
0
147352
19735
81994
48108
38678
41002
7279
1000
1114
2242
40663
20023
57863
27481
11185
4228
5330
101249
14936
51046
0
30412
1174
14827
19088
0
10827
3636
47682
6749
1577
1874
8067
5665
662
98960
13685
51845
198809
189888
213819
330274
263730
175098
213475
154276
0
357156
312812
321119
250712
294545
222808
283014
98071
173612
217538
40271
172874
136484
133011
254201
119678
122252
205617
139853
154412
0
165800
112864
143961
70569
0
194896
101142
207571
127250
67707
173179
81235
129043
56462
128727
251215
117561
9900
68600
9600
18630
7105
2315
12056
3000
16614
23352
3441
4496
9014
5005
34300
16130
2686
49351
53392
1142
1000
2323
2980
21608
3931
126407
10868
7979
6763
3904
3008
12009
3066
6042
32838
24204
48311
1000
10022
12694
2250
5411
3127
9905
8071
16041
3440
11
-------
Table 1 contd. - 1978 LAND USE BY COUNTY
STATE COUNTY
VA MATHEWS
VA MIDDLESEX
VA MONTGOMERY
VA NELSON
VA NEW KENT
VA NEWPORT NEWS
VA NORFOLK
VA NORTHAMPTON
VA NORTHUMBERLAND
VA NOTTOWAY
VA ORANGE
VA PAGE
VA PORTSMOUTH
VA POWHATAN
VA PRINCE EDWARD
VA PRINCE GEORGE
VA PRINCE WILLIAM
VA RAPPAHANNOCK
VA RICHMOND
VA ROANOKE
VA ROCKBRIDGE
VA ROCKINGHAM
VA SHENANDOAH
VA SPOTSYLVANIA
VA STAFFORD
VA SUFFOLK
VA SURRY
VA VIRGINIA BEACH
VA WARREN
VA WESTMORELAND
VA YORK
WV BERKELEY
WV GRANT
WV HAMPSHIRE
WV HARDY
WV JEFFERSON
WV MINERAL
WV MONROE
WV MORGAN
WV PENDLETON
TOTAL ACS.
CROPLAND
PASTURE
WOODLAND
URBAN
55776
85728
254073
303590
136256
41786
33926
144601
118105
202502
218822
200345
19123
167161
226252
176620
218494
170969
123334
197470
389382
557355
327833
262470
173510
261868
180057
163795
139052
145049
157900
205734
307392
412454
374144
133964
210784
302816
146956
446764
12675
20490
42218
22380
13364
0
0
59094
35107
23411
33883
30093
0
15179
32878
32679
32604
17565
27469
7670
57532
84404
40787
35338
19948
62888
35227
51922
13046
41196
1799
46600
22863
21580
20900
57713
23064
35000
15269
21730
0
1145
68802
28202
1426
0
0
1151
955
20288
40301
29714
0
13549
24059
3837
33039
40641
1047
21887
55413
108825
60884
11139
5965
3487
3261
1567
28999
2129
1000
28300
46353
64350
50600
28482
22366
74856
7440
80895
41097
60176
130300
243021
116222
0
0
80741
76623
134110
138438
131691
0
132165
161308
132061
105975
111053
90839
131827
266468
353054
220781
201372
136711
169839
137509
64614
90518
93754
38425
104835
229065
302580
290827
31120
156468
188520
115796
338243
2004
3917
12753
9987
5244
41786
33926
3615
5420
24693
6200
8847
19123
6268
6007
8043
46876
1710
3979
36086
9969
11072
5381
14621
10886
25654
4060
45692
6489
7970
116676
25999
9111
23944
11817
16649
8886
4440
8451
5896
12
-------
TABLE 2
1985 LAND USE BY COUNTY
Final figures for 1985 land use as presented by the State Offices of SCS after
their revisions of the orginal data from the Agricultural Census and Timber
Surveys. TOTAL ACS. is the total land acreage of the county as listed in the
Agricultual Census. CROPLAND is land used for a harvestable crop. PASTURE is
land with permanent grass cover, used to graze animals. WOODLAND includes land
in forest, orchards, nurseries, or idle land. In some cases, this category also
includes wetlands. URBAN represents land that has been developed for roads or
residential, commercial, industrial and other uses.
STATE COUNTY
DC WASHINGTON
DE KENT
DE NEW CASTLE
DE SUSSEX
MD ALLEGANY
MD ANNE ARUNDEL
MD BALTIMORE
MD CALVERT
MD CAROLINE
MD CARROLL
MD CECIL
MD CHARLES
MD DORCHESTER
MD FREDERICK
MD GARRETT
MD HARFORD
MD HOWARD
MD KENT
MD MONTGOMERY
MD PRINCE GEORGES
MD QUEEN ANNES
MD SOMERSET
MD ST MARYS
MD TALBOT
MD WASHINGTON
MD WICOMICO
MD WORCESTER
NY ALLEGANY
NY BROOME
NY CHEMUNG
NY CHENANGO
NY CORTLAND
NY DELAWARE
NY HERKIMER
NY LIVINGSTON
NY MADISON
NY ONEIDA
TOTAL ACS. CROPLAND
PASTURE
WOODLAND
URBAN
37760
380633
253222
602848
269286
267756
433881
136467
205305
289267
230112
289011
379660
424140
420371
286489
160640
178137
317081
311686
237990
216582
238425
165516
291180
242624
303910
660550
455366
262854
574278
320185
921395
906528
404928
419968
780064
0
196000
97660
290000
20000
17500
62700
24000
105180
136100
60900
38000
110000
163000
45100
69600
32800
109600
70000
32811
131000
40000
46000
95000
105200
70000
85315
92630
52601
31444
93092
76158
94219
93273
163622
123466
147285
0
6000
5800
4800
45000
6200
29800
3100
3000
43200
13280
5000
2000
54000
30992
26100
21600
4000
24000
4000
5000
2000
7500
3500
48100
2200
4635
42056
31406
12365
56600
42589
85399
51900
28448
46842
71944
3100
148633
69762
260048
181186
112756
122661
73367
75125
84967
87932
191011
257410
135140
305779
146289
50240
52637
98081
115875
66990
171082
132125
42016
96680
125924
203500
429500
285900
161200
358300
162100
638300
392100
124100
199200
412300
34660
30000
69762
48000
23100
131300
218720
36000
22000
25000
68000
55000
10250
72000
38500
44500
56000
11900
125000
159000
35000
3500
52800
25000
41200
44500
10460
96364
85459
57845
66286
39338
103477
369255
88758
50460
148535
13
-------
Table
STATE
NY
NY
NY
NY
NY
NY
NY
NY
NY
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
2 contd. - 1985
COUNTY
ONONDAGA
ONTARIO
OTSEGO
SCHOHARIE
SCHUYLER
STEUBEN
TIOGA
TOMPKINS
YATES
ADAMS
BEDFORD
BERKS
BLAIR
BRADFORD
CAMBRIA
CAMERON
CENTRE
CHESTER
CLEARFIELD
CLINTON
COLUMBIA
CUMBERLAND
DAUPHIN
ELK
FRANKLIN
FULTON
HUNTINGTON
INDIANA
JUNIATA
LACKAWANNA
LANCASTER
LEBANON
LUZERNE
LYCOMING
MCKEAN
MIFFLIN
MONTOUR
NORTHUMBERLAND
PERRY
POTTER
SCHUYLKILL
SNYDER
SOMERSET
SULLIVAN
SUSQUEHANNA
TIOGA
UNION
WAYNE
TOTAL ACS.
502060
412185
642432
399328
210784
893574
332275
305184
216928
333318
650636
550880
337414
737350
442284
254976
707891
484851
735289
570464
310988
349836
337785
531142
495078
280012
561433
530656
250649
295104
609356
232019
570220
791852
626342
264128
83852
294848
356217
692064
500179
210656
686944
288614
528614
723974
202835
467993
CROPLAND
115755
158702
114001
72390
38885
199629
61355
66418
66806
172856
146232
249071
57625
244809
73873
994
93130
153545
58738
31504
114043
139100
97467
7744
185093
61461
95023
104874
65121
36737
353196
104655
65191
114133
20483
51608
45825
132725
79863
42291
95335
72808
142290
13208
124098
126348
62714
71572
PASTURE
23719
16579
64691
34060
16088
67076
27301
17176
8691
40985
59073
41830
13509
108827
53672
4769
35275
86607
50150
7207
13466
25338
19345
3723
59217
17751
40491
68688
12010
19410
75220
18960
11036
35993
20998
16618
3739
12754
13293
51621
11476
9425
72880
6227
62049
110812
7240
44326
WOODLAND
202900
149700
384500
267700
121900
494100
196600
174700
93000
98930
428541
193369
239155
358022
271347
244574
546188
83329
587595
519193
155915
127839
163684
507334
210050
192797
410462
326216
159438
179629
85097
83660
419929
614449
558581
183723
25957
123538
248106
584867
357838
116306
437596
266255
318518
468345
123937
316886
URBAN
159686
87204
79240
25178
33911
132769
47019
46890
48431
20547
16789
66610
27124
25692
43392
4640
33298
161370
38805
12560
27564
57559
57290
12341
40718
8003
15456
30877
14080
59328
95843
24744
74065
27277
26280
12179
8332
25832
14955
13286
35530
12117
34179
2925
23949
18469
8944
35210
14
-------
Table 2 contd. - 1985 LAND USE BY COUNTY
STATE COUNTY
PA WYOMING
PA YORK
VA ACCOMACK
VA ALBEMARLE
VA ALLEGHENY
VA AMELIA
VA AMHERST
VA APPOMATTOX
VA ARLINGTON
VA AUGUSTA
VA BATH
VA BEDFORD
VA BOTETOURT
VA BUCKINGHAM
VA CAMPBELL
VA CAROLINE
VA CHARLES CITY
VA CHESAPEAKE CITY
VA CHESTERFIELD
VA CLARKE
VA CRAIG
VA CULPEPER
VA CUMBERLAND
VA DINWIDDIE
VA ESSEX
VA FAIRFAX
VA FAUQUIER
VA FLUVANNA
VA FREDERICK
VA FREDERICKSBURG
VA GILES
VA GLOUCESTER
VA GOOCHLAND
VA GREENE
VA HAMPTON
VA HANOVER
VA HENRICO
VA HIGHLAND
VA ISLE OF WIGHT
VA JAMES CITY
VA KING AND QUEEN
VA KING GEORGE
VA KING WILLIAM
VA LANCASTER
VA LOUDOUN
VA LOUISA
VA MADISON
TOTAL ACS.
CROPLAND
PASTURE
WOODLAND
URBAN
255609
579788
304435
470828
290313
228409
306246
215078
16614
643096
344051
482617
348550
373401
355040
342694
116128
270656
282828
114137
211084
244480
191712
339129
168051
266590
416569
185510
271532
3904
231654
144121
180032
100371
32838
299155
190828
266112
204454
101292
202982
115244
177766
85043
333497
317804
205913
41851
262103
84273
40588
11166
44080
31236
31902
0
142573
18002
84933
46072
38041
64188
38493
16467
59594
9848
30036
17008
50098
30793
45017
50121
9020
113882
19947
60118
0
26074
23019
25952
10464
0
61991
24113
15006
64142
10750
33997
22047
40351
17009
102845
41104
35006
11250
85494
4214
75089
13196
13023
55380
28814
0
133473
13002
87930
53084
42045
40118
3049
2254
2483
3586
40048
26010
57112
35760
15006
3931
7015
99896
18950
53103
0
30085
5005
17955
19979
0
6948
5676
42018
10023
1229
2000
10021
6152
2000
91861
23058
51478
191369
159426
205415
332827
258846
168301
203026
151275
0
336715
308046
304758
239378
288310
212623
285022
94422
142777
200960
38046
167066
127250
122179
255097
110068
91202
189804
138634
149293
0
172487
100084
128893
58939
0
191885
96624
208088
120267
72387
163985
77163
127788
55028
108836
237601
115311
11138
72765
10533
22324
7105
3005
16604
3087
16614
30335
5001
4996
10016
5005
38111
16130
2985
65802
68434
6007
1000
10020
2980
24009
3931
159353
12987
7979
9018
3904
3008
16013
7232
10989
32838
38331
64415
1000
10022
16926
3000
6013
3475
11006
29955
16041
4118
15
-------
Table 2 contd. - 1985 LAND USE BY COUNTY
STATE COUNTY
VA MATHEWS
VA MIDDLESEX
VA MONTGOMERY
VA NELSON
VA NEW KENT
VA NEWPORT NEWS
VA NORFOLK
VA NORTHAMPTON
VA NORTHUMBERLAND
VA NOTTOWAY
VA ORANGE
VA PAGE
VA PORTSMOUTH
VA POWHATAN
VA PRINCE EDWARD
VA PRINCE GEORGE
VA PRINCE WILLIAM
VA RAPPAHANNOCK
VA RICHMOND
VA ROANOKE
VA ROCKBRIDGE
VA ROCKINGHAM
VA SHENANDOAH
VA SPOTSYLVANIA
VA STAFFORD
VA SUFFOLK
VA SURRY
VA VIRGINIA BEACH
VA WARREN
VA WESTMORELAND
VA YORK
WV BERKELEY
WV GRANT
WV HAMPSHIRE
WV HARDY
WV JEFFERSON
WV MINERAL
WV MONROE
WV MORGAN
WV PENDLETON
TOTAL ACS.
CROPLAND
PASTURE
WOODLAND
URBAN
55776
85728
254073
303590
136256
41786
33926
144601
118105
202502
218822
200345
19123
167161
226252
176620
218494
170969
123334
197470
389382
557355
327833
262470
173510
261868
180057
163795
139052
145049
157900
205734
307392
412454
374144
133964
210784
302816
146956
446764
8426
19135
44013
25964
15795
0
0
54225
36800
27077
34972
31397
0
25870
39043
27883
34270
17751
31828
16038
61535
86054
40578
34894
20592
61969
34999
41948
9270
43833
2998
27403
20984
5302
21246
38458
12393
35000
11602
21886
1359
2589
80023
39946
2746
0
0
2008
3011
27078
37969
28407
0
16915
28031
7507
16880
39239
1989
18043
49429
127081
64072
13771
10580
4997
5000
1998
39141
2989
999
23187
54961
63627
50585
20895
23940
74856
4834
69856
43764
60087
113032
227693
111888
0
0
84351
72271
123654
135889
131570
0
117411
153171
130505
104842
109308
85538
115274
259252
332212
213572
194310
127823
140929
135998
58926
83431
90257
31980
97664
222342
318134
290358
25937
164957
188520
116018
349230
2227
3917
17005
9987
5827
41786
33926
4017
6023
24693
9992
8971
19123
6965
6007
10725
62502
4671
3979
48115
19166
12008
9611
19495
14515
53973
4060
60923
7210
7970
121923
57480
9105
25391
11955
48674
9494
4440
14502
5792
16
-------
LAND USE BY SEGMENTS
Tables 3, 4, 5 and 6 show land uses assigned to each segment of the Watershed
Model. Figures are based on the percentage of each county in each segment.
Land uses were assumed to be uniform throughout the county. Cropland is
subdivided into L-T CROP (low-till and conservation tillage) and H-T CROP
(high-till or conventional tillage). Water acres were determined using the
Geographic Information System (CIS) and the USGS Land Use/Land Cover 1973 data
set. Manure acres (MNR.AC.) were developed from Pasture acres to address animal
waste potential; they do not represent acres of feed lots or barn yards.
TABLE 3
SEGMENT L-T CROP H-T CROP
TOTAL
10
20
30
40
50
60
70
80
90
100
110
120
140
160
170
175
180
190
200
210
220
230
235
240
250
260
265
270
280
290
300
310
330
340
28773
36350
52552
37330
15485
39157
27322
68158
20024
48194
80790
40569
14684
29617
18824
23610
125353
46553
46032
72788
43349
48091
5893
6639
7870
21026
1826
48219
54593
11737
29950
3200
5991
6674
302094
538141
256578
182258
75605
191180
133397
332770
97765
235299
392208
198070
63850
71759
32946
56527
338933
119707
109447
175332
102428
123664
15155
17072
20237
54066
4695
122295
140382
30182
77014
8229
12163
13549
173167
348338
137022
27868
66438
129542
33193
72587
48239
83559
120337
54526
24016
96053
156374
103336
227588
209681
187623
81309
112726
225719
6590
4583
19987
19878
23461
234581
240602
26184
67645
3228
8659
10576
983020
1801531
917530
606552
702078
2282166
619741
840430
404779
1104338
487473
113293
60534
613088
715033
576678
769893
624487
529160
207108
233989
605450
127011
176614
152844
347320
191039
1416456
1404995
239999
557906
73640
25842
49475
195166
415518
96302
87279
51492
75545
31334
127406
15459
71235
137764
67634
25383
47759
22549
42264
133525
34456
25467
79659
117952
21438
8723
9510
9084
28603
1778
43329
62754
15020
30465
9704
29422
48372
12275
54215
101681
13399
2887
10139
6549
21501
13616
5163
11426
1246
283
5004
2336
2398
8949
3520
2113
5178
872
2240
1202
1799
3884
701
0
1841
9784
4366
1180
3235
3182
9221
1694496
3194093
1561666
954686
913985
2727730
851537
1462853
599882
1547788
1229997
475338
188749
863279
948061
804813
1604241
1038403
899842
621373
611317
1026602
164574
216217
213905
471594
222798
1866722
1913110
327487
764160
101237
85258
137867
17
-------
TABLE 4
1978 LAND USE FOR WATERSHED MODEL BY seuuJNTS
BELOW THE FALL LINE
SEGMENT
ANACOSTIA 1
BALT HARBOR 2
BOHEMIA 3
CHESTER 4
CHICKAHOMINY 5
CHOPTANK 6
COASTAL 1
COASTAL 11
COASTAL 4
COASTAL 5
COASTAL 6
COASTAL 8
COASTAL 9
ELIZABETH 7
GREAT WICOMICO
GUNPOWDER 1
JAMES 1
NANSEMOND 1
NANTICOKE 2
OCCOQUAN 2
PATAPSCO 2
PATUXENT 1
POCOMOKE 1
POTOMAC 1
RAPPAHANNOCK 1
SEVERN 1
WICOMICO 1
WYE 1
YORK 1
L-T CROP
4868
2465
3769
50380
8183
64057
65420
36184
16665
5112
6239
13985
7608
578
1 3227
17284
29071
9622
86035
17619
26311
16979
40162
55949
34691
834
12381
10318
25235
H-T CROP
9882
5004
6930
99192
21042
122277
131691
107394
42852
10380
12668
35962
19563
1486
8298
36268
74748
24743
136344
45307
53419
34473
79304
127022
89205
1693
24987
20948
64890
PASTURE
5100
3550
2003
6938
3408
6619
10567
53474
1223
3113
9286
2259
947
51
315
24026
11523
2642
7947
64116
31414
9937
5871
36756
13390
631
1490
1197
11507
FOREST
36363
17578
13402
77166
99882
138861
251251
170576
125576
70942
39724
206305
64232
7630
25287
101320
545432
85101
239196
157769
93442
182924
331017
659184
441834
13713
80388
15413
419092
URBAN
47243
23089
10909
28197
24238
38905
49060
103529
5634
47302
25854
14348
120981
8759
1821
112480
127606
10912
41937
41363
71727
103524
22869
263918
33287
12267
18171
7849
51098
WATER
620
268
1044
6374
428
2153
44750
189
14481
6429
1477
10642
5850
0
2648
391
24767
3172
0
2210
1235
8259
1423
24079
15381
1232
0
2221
17003
TOTAL
104075
51954
38057
268246
157180
372871
552738
471345
206431
143278
95247
283501
219180
18504
41596
291770
813147
136193
511460
328384
277548
356096
480646
1166908
627788
30369
137416
57945
588825
18
-------
TABLE 5
1985 LAND USE FOR
WATERSHED MODEL BY SEGMENTS
ABOVE THE FALL LINE
SEGMENT
10
20
30
40
50
60
70
80
90
100
110
120
140
160
170
175
180
190
200
210
220
230
235
240
250
260
265
270
280
290
300
310
330
340
L-T CR.
32937
36476
52848
73853
20672
97751
70531
205774
68177
122974
282540
117776
49445
33880
14275
30049
301676
130850
84257
202378
133503
109971
8782
21015
11660
45850
8199
171234
108669
25912
64945
2653
14213
12231
H-T CR.
305220
536502
280785
170595
80994
146937
99683
221920
56732
179918
244480
143624
35571
52577
33713
35605
151734
56381
59131
61250
15617
73687
12294
4585
18013
28034
3719
36704
93733
21022
58106
8218
3090
6883
PASTURE
159393
300732
145583
29589
73056
139191
31726
75974
50179
87857
127368
57851
24253
108525
147919
105767
220115
211244
200243
79158
105838
223842
7359
2330
22208
23941
19158
232915
269574
32608
80824
4185
8470
10524
FOREST
984938
1844310
875001
570931
679540
2254498
610012
802377
394793
1076335
416256
80692
52115
614346
726540
584313
722664
594668
503065
189716
209156
577312
123800
176769
146892
335375
189339
1364448
1356569
222413
525824
71259
25606
45387
URBAN
199187
420461
105210
96136
56731
78824
32814
134620
16180
74940
146910
73096
26872
48740
22927
46443
198101
40625
50154
83164
146032
38857
11106
9702
11153
37553
2350
58967
74187
21071
33036
11673
30668
53586
MNR.AC.
546
1397
554
184
104
391
223
689
205
599
1018
1052
211
208
350
237
1001
1114
878
529
299
694
32
16
95
140
31
613
595
95
245
14
30
36
WATER
12275
54215
101685
13399
2887
10139
6549
21501
13616
5163
11426
1246
283
5004
2336
2398
8949
3520
2113
5178
872
2240
1202
1799
3884
701
0
1841
9784
4366
1180
3235
3182
9221
TOTAL
1694496
3194093
1561665
954688
913984
2727731
851539
1462854
599881
1547786
1229997
475338
188749
863279
948061
804813
1604241
1038403
899842
621373
611317
1026602
164574
216217
213905
471594
222798
1866720
1913110
327487
764160
101237
85258
137867
19
-------
TABLE 6
SEGMENT
ANACOSTIA
HALT HARBOR
BOHEMIA
CHESTER
CHICKAHOMINY
CHOPTANK
COASTAL 1
COASTAL 11
COASTAL 4
COASTAL 5
COASTAL 6
COASTAL 8
COASTAL 9
ELIZABETH
GREAT WICOMICO
GUNPOWDER
JAMES
NANSEMOND
NANTICOKE
OCCOQUAN
PATAPSCO
PATUXENT
POCOMOKE
POTOMAC
RAPPAHANNOCK
SEVERN
WICOMICO
WYE
YORK
1985 LAND USE FOR WATERSHED MODEL BY SEGMENTS
BELOW THE FALL LINE
L-T CR.
7933
4621
7165
121262
16566
106668
137885
94845
24017
6977
13609
11713
20780
1434
) 3202
34409
48895
19630
142287
58269
50641
15170
81636
67154
40834
1341
12270
20534
48799
H-T CR. PASTURE
6230
2848
3526
27763
6739
82667
60978
55257
35419
6120
5298
39417
5901
1188
8872
19368
46659
15272
77674
11130
27686
32674
41809
111450
96099
563
23563
10605
49057
3527
3538
1867
5483
4004
5772
9053
49178
2641
3139
7626
7134
1350
111
989
22781
18229
3843
4252
50267
29176
7085
5303
38268
17055
672
1143
1158
12590
FOREST
33308
14612
13354
77240
96481
135173
249573
164399
123651
62007
38912
197054
54841
6276
23861
88338
525519
73812
239890
150755
88664
163992
326226
628468
422678
12270
81851
15138
401542
URBAN MNR.AC.
52442
26055
11089
30044
32942
40276
50373
107100
6204
58593
28291
17525
130440
9493
2023
126398
149020
20441
46993
55594
80015
128881
23929
297355
35685
14288
18478
8274
59765
16
12
12
82
20
16.1
126
378
19
13
34
16
17
1
2
86
58
22
364
161
131
35
320
134
55
3
110
16
69
WATER
620
268
1044
6374
428
2153
44750
189
14481
6429
1477
10642
5850
0
2648
391
24767
3172
0
2210
1235
8259
1423
24079
15381
1231
0
2221
17003
TOTAL
104075
51954
38057
268246
157180
372871
552738
471345
206431
143278
95247
283501
219180
18504
41596
291770
813147
136193
511460
328384
277548
356096
480646
1166908
627788
30369
137416
57945
588825
20
-------
TABLE 7
KRER AND SLSUR PARAMETERS CALCULATED FROM THE 1982 NRI REPORT
Values for KRER and SLSUR were developed from National Resources Inventory (NRI)
data (see page 6). KRER, in conjunction with the COVER parameter, controls the
amount of fine sediment detached by raindrop impact and therefore subject to
transport by overland flow. KRER is usually estimated by assuming it is
equal to the Universal Soil Loss Equation (USLE) "K." SLSUR represents the
slope for overland flow which impacts the hydrology and the sediment erosion
simulation in the model.
SEGMENT
10
10
10
20
20
20
30
30
30
40
40
40
50
50
50
60
60
60
70
70
70
80
80
80
90
90
90
COVER
KRER
SLSUR
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
0.292986
0.275837
0.248348
0.280609
0.278687
0.239777
0.263221
0.251017
0.221805
0.259466
0.262105
0.217020
0.281636
0.305984
0.235281
0.268435
0.277695
0.224713
0.264476
0.266909
0.218769
0.269946
0.289552
0.215810
0.261671
0.280597
0.217315
7
10
21
7
9
16
9
11
19
9
11
20
9
10
18
8
12
22
8
10
21
7
9
20
9
12
21
21
-------
Table 7 contd. - KRER AND SLSUR PARAMETERS
SEGMENT
100
100
100
110
110
110
120
120
120
140
140
140
160
160
160
170
170
170
175
175
175
180
180
180
190
190
190
200
200
200
210
210
210
220
220
220
COVER
KRER
SLSUR
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
0.276866
0.297909
0.219489
0.289945
0.313437
0.242941
0.294686
0.326712
0.261039
0.318660
0.342181
0.309689
0.269864
0.267534
0.217881
0.301944
0.288510
0.223534
0.291111
0.297163
0.228066
0.301521
0.307696
0.236405
0.319525
0.302658
0.271341
0.320924
0.311193
0.254876
0.312563
0.319852
0.267874
0.323050
0.313443
0.294768
8
10
21
7
8
16
7
7
15
6
8
13
9
14
24
8
15
28
8
12
24
7
8
20
7
11
22
6
9
21
6
8
16
6
7
12
22
-------
Table 7 contd. - KRER AND SLSUR PARAMETERS
SEGMENT
230
230
230
235
235
235
240
240
240
250
250
250
260
260
260
265
265
265
270
270
270
280
280
280
290
290
290
300
300
300
310
310
310
330
330
330
COVER
KRER
SLSUR
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
0.319368
0.302833
0.296482
0.313148
0.318214
0.300160
0.269316
0.277000
0.247727
0.311739
0.315227
0.316196
0.292652
0.299250
0.286011
0.301818
0.279867
0.243094
0.298379
0.288083
0.250814
0.302300
0.292397
0.282525
0.272089
0.272065
0.272376
0.274301
0.282655
0.270773
0.267263
0.276410
0.260672
0.340491
0.338106
0.336328
6
9
14
5
7
8
3
7
8
5
7
7
5
7
10
4
17
30
9
15
27
7
11
16
4
6
7
6
8
9
5
7
6
7
8
10
23
-------
Table 7 CQntd. - KRER AND SLSUR PARAMETERS
SEGMENT
COVER
KRER
SLSUR
340
340
340
ANACOSTIA
ANACOSTIA
ANACOSTIA
HALT HARBOR
HALT HARBOR
BALT HARBOR
BOHEMIA
BOHEMIA
BOHEMIA
CHESTER
CHESTER
CHESTER
CHICKAHOMINY
CHICKAHOMINY
CHICKAHOMINY
CHOPTANK
CHOPTANK
CHOPTANK
COASTAL 1
COASTAL 1
COASTAL 1
COASTAL 11
COASTAL 11
COASTAL 11
COASTAL 4
COASTAL 4
COASTAL 4
COASTAL 5
COASTAL 5
COASTAL 5
COASTAL 6
COASTAL 6
COASTAL 6
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
.0.343118
0.329896
0.326581
0.346738
0.333108
0.331762
0.344800
0.357424
0.336767
0.351976
0.361556
0.340920
0.319674
0.316286
0.301727
0.280825
0.271154
0.282376
0.297615
0.292222
0.297619
0.333519
0.352623
0.330539
0.316625
0.345908
0.311150
0.246895
0.280000
0.233433
0.323143
0.272500
0.311130
0.338394
0.357231
0.336128
6
8
9
7
8
8
8
11
15
4
5
6
2
5
3
4
5
7
1
1
1
2
4
3
6
8
13
1
1
1
5
4
8
6
9
14
24
-------
Table 7 COntd. - KBER AND SLSUR PARAMETERS
SEGMENT
COVER
KRER
SLSUR
COASTAL 8
COASTAL 8
COASTAL 8
COASTAL 9
COASTAL 9
COASTAL 9
ELIZABETH
ELIZABETH
ELIZABETH
GREAT WICOMICO
GREAT WICOMICO
GREAT WICOMICO
GUNPOWDER
GUNPOWDER
GUNPOWDER
JAMES
JAMES
JAMES
LAKE ANNA
LAKE ANNA
LAKE ANNA
NANSEMOND
NANSEMOND
NANSEMOND
NANTICOKE
NANTICOKE
NANTICOKE
OCCOQUAN
OCCOQUAN
OCCOQUAN
PATAPSCO
PATAPSCO
PATAPSCO
PATUXENT
PATUXENT
PATUXENT
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
0.263602
0.233684
0.243301
0.300625
0.333333
0.248220
0.258759
0.217000
0.218788
0.269920
0.253750
0.245016
0.318519
0.338971
0.319703
0.259246
0.297397
0.286310
0.311739
0.315227
0.316196
0.261087
0.249412
0.247565
0.256896
0.281081
0.266865
0.319859
0.305932
0.288588
0.322228
0.334198
0.328095
0.342258
0.319538
0.322410
3
3
7
0
0
3
1
1
1
3
7
11
7
9
15
2
3
5
5
7
7
1
1
2
1
1
1
5
7
11
7
9
12
4
5
7
25
-------
Table 7 COntd. - KRER AND SLSUR PARAMETERS
SEGMENT
POCOMOKE
POCOMOKE
POCOMOKE
POTOMAC
POTOMAC
POTOMAC
RAPPAHANNOCK
RAPPAHANNOCK
RAPPAHANNOCK
SEVERN
SEVERN
SEVERN
WICOMICO
WICOMICO
WICOMICO
WYE
WYE
WYE
YORK
YORK
YORK
COVER
KRER
SLSUR
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
CROPLAND
PASTURE
WOODLAND
0.256404
0.291667
0.260974
0.320783
0.317523
0.304991
0.274881
0.302667
0.259802
0.328261
0.255882
0.301441
0.260238
0.292069
0.265895
0.331582
0.298000
0.322885
0.261699
0.255135
0.254965
1
1
1
5
8
9
3
6
9
6
4
8
1
1
1
1
1
2
3
4
9
26
-------
TABLE 8
PERCENT OF EACH COUNTY IN BAY MODEL SEGMENTS
Counties in the Chesapeake Bay basin and the percentage of each in the various
model segments. Percentages were determined through use of the CIS system at
the Chesapeake Bay Liaison Office.
STATE COUNTY
DC WASHINGTON
DC WASHINGTON
DC WASHINGTON
DC WASHINGTON
DE KENT
DE KENT
DE KENT
DE NEW CASTLE
DE NEW CASTLE
DE NEW CASTLE
DE SUSSEX
DE SUSSEX
DE SUSSEX
MD ALLEGANY
MD ALLEGANY
MD ANNE ARUNDEL
MD ANNE ARUNDEL
MD ANNE ARUNDEL
MD ANNE ARUNDEL
MD ANNE ARUNDEL
MD ANNE ARUNDEL
MD BALTIMORE
MD BALTIMORE
MD BALTIMORE
MD BALTIMORE
MD BALTIMORE
MD BALTIMORE
MD BALTIMORE CITY
MD BALTIMORE CITY
MD BALTIMORE CITY
MD BALTIMORE CITY
MD CALVERT
MD CALVERT
MD CALVERT
MD CALVERT
MD CAROLINE
MD CAROLINE
MD CAROLINE
MD CARROLL
MD CARROLL
MD CARROLL
MODEL SEGMENT
220
ANACOSTIA
POTOMAC
POTOMAC RIVER
CHESTER
CHOPTANK
NANTICOKE
BOHEMIA
CHESTER
COASTAL 1
NANTICOKE
POCOMOKE
WICOMICO
160
175
340
CHESAPEAKE BAY
COASTAL 5
PATAPSCO
PATUXENT
SEVERN
SALT HARBOR
CHESAPEAKE BAY
COASTAL 11
COASTAL 6
GUNPOWDER
PATAPSCO
BALT HARBOR
CHESAPEAKE BAY
COASTAL 6
PATAPSCO
CHESAPEAKE BAY
COASTAL 5
PATUXENT
PATUXENT RIVER
CHESAPEAKE BAY
CHOPTANK
NANTICOKE
110
210
GUNPOWDER
PERCENT IN SEGMENT
.049
.225
.652
.074
.052
.165
.124
.027
.026
.044
.454
.045
.002
.607
.393
.136
.027
.360
.206
.158
.113
.134
.007
.020
.096
.610
.133
.527
.004
.374
.095
.001
.282
.710
.007
.003
.812
.185
.017
.480
.078
27
-------
Table 8 contd. - PERCENT OF EACH COUNTY IN BAY MODEL SEGMENTS
STATE COUNTY
MD CARROLL
MD CECIL
MD CECIL
MD CECIL
MD CECIL
MD CECIL
MD CECIL
MD CHARLES
MD CHARLES
MD CHARLES
MD CHARLES
MD DORCHESTER
MD DORCHESTER
MD DORCHESTER
MD DORCHESTER
MD FREDERICK
MD FREDERICK
MD FREDERICK
MD GARRETT
MD HARFORD
MD HARFORD
MD HARFORD
MD HARFORD
MD HARFORD
MD HARFORD
MD HOWARD
MD HOWARD
MD HOWARD
MD KENT
MD KENT
MD KENT
MD MONTGOMERY
MD MONTGOMERY
MD MONTGOMERY
MD MONTGOMERY
MD MONTGOMERY
MD MONTGOMERY
MD PRINCE GEORGES
MD PRINCE GEORGES
MD PRINCE GEORGES
MD PRINCE GEORGES
MD PRINCE GEORGES
MD PRINCE GEORGES
MD PRINCE GEORGES
MD QUEEN ANNES
MD QUEEN ANNES
MD QUEEN ANNES
MD QUEEN ANNES
MODEL SEGMENT
PATAPSCO
140
BOHEMIA
CHESAPEAKE BAY
COASTAL 1
COASTAL 11
SUSQ RIVER
PATUXENT
PATUXENT RIVER
POTOMAC
POTOMAC RIVER
CHESAPEAKE BAY
CHOPTANK
COASTAL 1
NANTICOKE
180
210
220
160
140
CHESAPEAKE BAY
COASTAL 11
COASTAL 6
GUNPOWDER
SUSQ RIVER
330
340
PATAPSCO
CHESAPEAKE BAY
CHESTER
COASTAL 1
210
220
330
ANACOSTIA
POTOMAC
POTOMAC RIVER
330
340
ANACOSTIA
PATUXENT
PATUXENT RIVER
POTOMAC
POTOMAC RIVER
CHESAPEAKE BAY
CHESTER
CHOPTANK
COASTAL 1
PERCENT IN SEGMENT
.425
.015
.131
.013
.298
.508
.013
.057
.001
.929
.013
.055
.074
.690
.182
.217
.739
.044
.353
.106
.028
.593
.175
.088
.010
.258
.464
.278
.027
.567
.405
.073
.564
.130
.116
.113
.005
.004
.081
.181
.418
.005
.310
.002
.108
.549
.180
.022
28
-------
Table 8 COntd. - PERCENT OF EACH COUNTY IN BAY MODEL SEGMENTS
STATE COUNTY
MODEL SEGMENT
PERCENT IN SEGMENT
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
PA
PA
PA
PA
PA
PA
QUEEN ANNES
SOMERSET
SOMERSET
SOMERSET
ST MARYS
ST MARYS
ST MARYS
ST MARYS
TALBOT
TALBOT
TALBOT
TALBOT
WASHINGTON
WASHINGTON
WICOMICO
WICOMICO
WICOMICO
WICOMICO
WORCESTER
WORCESTER
ALLEGANY
BROOME
CHEMUNG
CHEMUNG
CHENANGO
CORTLAND
DELAWARE
HERKIMER
LIVINGSTON
MADISON
ONEIDA
ONONDAGA
ONTARIO
OTSEGO
SCHOHARIE
SCHUYLER
SCHUYLER
STEUBEN
TIOGA
TIOGA
TOMPKINS
YATES
ADAMS
ADAMS
ADAMS
BEDFORD
BEDFORD
BEDFORD
WYE
CHESAPEAKE BAY
POCOMOKE
WICOMICO
CHESAPEAKE BAY
PATUXENT
POTOMAC
POTOMAC RIVER
CHESAPEAKE BAY
CHOPTANK
COASTAL 1
WYE
175
180
CHESAPEAKE BAY
NANTICOKE
POCOMOKE
WICOMICO
POCOMOKE
WICOMICO
10
20
10
20
20
20
20
20
10
20
20
20
10
20
20
10
20
10
10
20
20
10
110
180
210
100
160
175
.141
.077
.746
.178
.002
.257
.720
.021
.039
.392
.449
.120
.092
.907
.013
.345
.254
.388
.640
.001
.082
.882
.779
.137
.997
.931
.193
.064
.028
.485
.040
.065
.004
.974
.064
.256
.118
.888
.002
.998
.207
.039
.519
.060
.421
.028
.132
.160
29
-------
Table 8 COntd. - PERCENT OF EACH COUNTY IN BAY MODEL SEGMENTS
STATE COUNTY
MODEL SEGMENT
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
BEDFORD
BERKS
BERKS
BLAIR
BLAIR
BLAIR
BRADFORD
BRADFORD
BRADFORD
BRADFORD
CAMBRIA
CAMBRIA
CAMERON
CENTRE
CENTRE
CENTRE
CENTRE
CENTRE
CHESTER
CHESTER
CLEARFIELD
CLEARFIELD
CLINTON
COLUMBIA
COLUMBIA
COLUMBIA
CUMBERLAND
CUMBERLAND
CUMBERLAND
DAUPHIN
DAUPHIN
ELK
FRANKLIN
FRANKLIN
FRANKLIN
FRANKLIN
FULTON
FULTON
FULTON
FULTON
HUNTINGDON
HUNTINGDON
INDIANA
JUNIATA
JUNIATA
LACKAWANNA
LANCASTER
LANCASTER
90
110
120
100
50
90
10
20
30
70
100
50
60
100
50
60
70
80
120
COASTAL 11
50
60
60
40
70
80
110
180
80
110
80
60
100
180
210
80
100
175
180
90
100
90
50
100
80
30
110
120
PERCENT IN SEGMENT
.680
.071
.035
.961
.014
.024
.151
.086
.752
.011
.002
.443
1
.075
.161
.559
.010
.195
.019
.175
.745
.158
.999
.952
.042
.006
.325
.006
.669
.347
.653
.318
.041
.779
.002
.178
.251
.056
.608
.085
.804
.195
.086
.919
.081
.859
.171
.602
30
-------
Table 8 contd. - PERCENT OF EACH COUNTY IN BAY MODEL SEGMENTS
STATE COUNTY
MODEL SEGMENT
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
LANCASTER
LANCASTER
LANCASTER
LEBANON
LEBANON
LEBANON
LUZERNE
LUZERNE
LYCOMING
LYCOMING
LYCOMING
LYCOMING
MCKEAN
MIFFLIN
MIFFLIN
MONTOUR
MONTOUR
NORTHUMBERLAND
NORTHUMBERLAND
NORTHUMBERLAND
PERRY
PERRY
PERRY
POTTER
POTTER
SCHUYLKILL
SCHUYLKILL
SCHUYLKILL
SNYDER
SNYDER
SNYDER
SNYDER
SOMERSET
SOMERSET
SULLIVAN
SULLIVAN
SULLIVAN
SULLIVAN
SUSQUEHANNA
SUSQUEHANNA
TIOGA
TIOGA
TIOGA
UNION
UNION
UNION
WAYNE
WAYNE
140
COASTAL 11
SUSQ RIVER
110
120
80
30
40
30
40
60
70
60
100
80
40
70
40
70
80
100
180
80
10
60
110
40
80
100
40
70
80
160
90
30
40
60
70
20
30
10
30
60
60
70
80
20
30
PERCENT IN SEGMENT
.085
.112
.026
.757
.053
.042
.174
.677
.001
.004
.610
.384
.022
.948
.052
.368
.632
.453
.231
.316
.312
.002
.686
.043
.579
.172
.108
.237
.030
.016
.005
.950
.111
.022
.064
.101
.013
.822
.360
.640
.573
.011
.416
.003
.723
.274
.042
.038
31
-------
Table 8 COntd. - PERCENT OF EACH COUNTY IN BAY MODEL SEGMENTS
STATE COUNTY
MODEL SEGMENT
PERCENT IN SEGMENT
PA
PA
PA
PA
PA
PA
PA
PA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
WYOMING
WYOMING
YORK
YORK
YORK
YORK
YORK
YORK
ACCOMACK
ACCOMACK
ACCOMACK
ALBEMARLE
ALBEMARLE
ALBEMARLE
ALBEMARLE
ALEXANDRIA
ALEXANDRIA
ALLEGHANY
ALLEGHANY
AMELIA
AMELIA
AMHERST
AMHERST
APPOMATTOX
APPOMATTOX
ARLINGTON
ARLINGTON
ARLINGTON
AUGUSTA
AUGUSTA
AUGUSTA
AUGUSTA
BATH
BATH
BEDFORD
BEDFORD
BOTETOURT
BUCKINGHAM
BUCKINGHAM
CAMPBELL
CAROLINE
CAROLINE
CAROLINE
CAROLINE
CAROLINE
CAROLINE
CHARLES CITY
CHARLES CITY
30
70
110
120
140
COASTAL 11
GUNPOWDER
SUSQ RIVER
CHESAPEAKE BAY
COASTAL 4
POCOMOKE
190
230
260
280
POTOMAC
POTOMAC RIVER
265
270
300
310
270
280
280
300
220
POTOMAC
POTOMAC RIVER
170
190
270
280
265
270
270
280
270
280
300
280
235
240
260
RAPPAHANNOCK
RAPP RIVER
YORK
CHICKAHOMINY
JAMES
.986
.013
.690
.093
.173
.031
.010
.003
.020
.422
.079
.005
.006
.011
.978
.992
.008
.026
.974
.942
.058
.294
.706
.431
.292
.002
.992
.006
.003
.739
.258
.001
.374
.626
.074
.070
.883
.942
.058
.181
.102
.553
.096
.224
.003
.022
.105
.884
32
-------
Table 8 contd. - PERCENT OF EACH COUNTY IN BAY MODEL SEGMENTS
STATE COUNTY
VA CHARLES CITY
VA CHESAPEAKE CITY
VA CHESAPEAKE CITY
VA CHESAPEAKE CITY
VA CHESTERFIELD
VA CHESTERFIELD
VA CHESTERFIELD
VA CHESTERFIELD
VA CHESTERFIELD
VA CHESTERFIELD
VA CLARKE
VA CLARKE
VA CLARKE
VA COLONIAL HEIGHTS
VA CRAIG
VA CULPEPER
VA CUMBERLAND
VA CUMBERLAND
VA CUMBERLAND
VA DINWIDDIE
VA DINWIDDIE
VA DINWIDDIE
VA ESSEX
VA ESSEX
VA ESSEX
VA ESSEX
VA ESSEX
VA FAIRFAX
VA FAIRFAX
VA FAIRFAX
VA FAIRFAX
VA FALLS CHURCH
VA FAUQUIER
VA FAUQUIER
VA FAUQUIER
VA FAUQUIER
VA FAUQUIER
VA FLUVANNA
VA FLUVANNA
VA FREDERICK
VA FREDERICK
VA FREDERICK
VA FREDERICKSBURG
VA GILES
VA GLOUCESTER
VA GLOUCESTER
VA GLOUCESTER
MODEL SEGMENT
JAMES RIVER
COASTAL 9
ELIZABETH
NANSEMOND
290
300
310
320
JAMES
JAMES RIVER
180
200
220
JAMES
270
230
280
290
300
310
320
JAMES
240
COASTAL 8
RAPPAHANNOCK
RAPP RIVER
YORK
220
OCCOQUAN
POTOMAC
POTOMAC RIVER
POTOMAC
200
220
230
OCCOQUAN
POTOMAC
260
280
175
180
200
RAPPAHANNOCK
270
CHESAPEAKE BAY
COASTAL 8
YORK
PERCENT IN SEGMENT
.010
.178
.048
.003
.035
.114
.104
.005
.735
.007
.201
.797
.001
1
.871
1
.489
.169
.341
.170
.016
.037
.004
.098
.868
.026
.004
.289
.267
.440
.004
1
.002
.232
.435
.326
.004
.004
.996
.013
.727
.260
1
.033
.024
.638
.331
33
-------
Table 8 contd. - PERCENT OF EACH COUNTY IN BAY NODE!, SEGMENTS
STATE COUNTY
YA GLOUCESTER
VA GOOCHLAND
VA GOOCHLAND
VA GOOCHLAND
VA GREENE
VA GREENE
VA GREENE
VA HAMPTON
VA HAMPTON
VA HAMPTON
VA HAMPTON
VA HANOVER
VA HANOVER
VA HANOVER
VA HANOVER
VA HENRICO
VA HENRICO
VA HENRICO
VA HENRICO
VA HIGHLAND
VA HIGHLAND
VA HIGHLAND
VA ISLE OF WIGHT
VA ISLE OF WIGHT
VA ISLE OF WIGHT
VA JAMES CITY
VA JAMES CITY
VA JAMES CITY
VA JAMES CITY
VA KING AND QUEEN
VA KING AND QUEEN
VA KING AND QUEEN
VA KING AND QUEEN
VA KING AND QUEEN
VA KING GEORGE
VA KING GEORGE
VA KING GEORGE
VA KING GEORGE
VA KING WILLIAM
VA KING WILLIAM
VA KING WILLIAM
VA KING WILLIAM
VA LANCASTER
VA LANCASTER
VA LANCASTER
VA LANCASTER
VA LANCASTER
VA LOUDOUN
MODEL SEGMENT
YORK RIVER
260
280
290
190
230
280
CHESAPEAKE BAY
COASTAL 9
JAMES
JAMES RIVER
260
290
CHICKAHOMINY
YORK
290
CHICKAHOMINY
JAMES
JAMES RIVER
170
265
270
JAMES
JAMES RIVER
NANSEMOND
JAMES
JAMES RIVER
YORK
YORK RIVER
240
COASTAL 8
RAPPAHANNOCK
YORK
YORK RIVER
POTOMAC
POTOMAC RIVER
RAPPAHANNOCK
RAPP RIVER
240
260
YORK
YORK RIVER
CHESAPEAKE BAY
COASTAL 8
GREAT WICOMICO
RAPPAHANNOCK
RAPP RIVER
180
PERCENT IN SEGMENT
.008
.044
.216
.740
.013
.393
.593
.020
.759
.202
.019
.567
.001
.145
.287
.147
.496
.355
.002
.235
.344
.421
.336
.004
.149
.767
.005
.225
.004
.069
.224
.003
.703
.001
.619
.014
.345
.023
.023
.003
.971
.004
.018
.140
.007
.812
.023
.239
34
-------
Table 8 COntd. - PERCENT OF EACH COUNTY IN BAY MODEL SEGMENTS
STATE COUNTY
VA LOUDOUN
VA LOUDOUN
VA LOUDOUN
VA LOUISA
VA LOUISA
VA LOUISA
VA LOUISA
VA LOUISA
VA LYNCHBURG
VA MADISON
VA MADISON
VA MATHEWS
VA MATHEWS
VA MIDDLESEX
VA MIDDLESEX
VA MIDDLESEX
VA MIDDLESEX
VA MONTGOMERY
VA NELSON
VA NELSON
VA NELSON
VA NEW KENT
VA NEW KENT
VA NEW KENT
VA NEWPORT NEWS
VA NEWPORT NEWS
VA NEWPORT NEWS
VA NORFOLK
VA NORFOLK
VA NORFOLK
VA NORTHAMPTON
VA NORTHAMPTON
VA NORTHUMBERLAND
VA NORTHUMBERLAND
VA NORTHUMBERLAND
VA NORTHUMBERLAND
VA NORTHUMBERLAND
VA NORTHUMBERLAND
VA ISDTTOWAY
VA NOTTCWAY
VA ORANGE
VA ORANGE
VA ORANGE
VA ORANGE
VA ORANGE
VA ORANGE
VA PAGE
VA PAGE
MODEL SEGMENT
200
220
OCCOQUAN
250
260
280
290
LAKE ANNA
280
190
230
CHESAPEAKE BAY
COASTAL 8
CHESAPEAKE BAY
COASTAL 8
RAPPAHANNOCK
RAPP RIVER
270
190
270
280
CHICKAHOMINY
JAMES
YORK
COASTAL 9
JAMES
JAMES RIVER
CHESAPEAKE BAY
COASTAL 9
JAMES RIVER
CHESAPEAKE BAY
COASTAL 4
CHESAPEAKE BAY
COASTAL 8
GREAT WICOMICO
POTOMAC
POTOMAC RIVER
RAPPAHANNOCK
300
310
230
235
250
260
280
LAKE ANNA
190
200
PERCENT IN SEGMENT
.010
.703
.049
.265
.670
.035
.005
.026
1
.003
.997
.069
.931
.006
.413
.557
.023
.059
.008
.004
.987
.167
.359
.474
.106
.872
.022
.003
.972
.025
.011
.400
.017
.143
.320
.497
.011
.013
.508
.036
.582
.013
.357
.018
.028
.003
.942
.053
35
-------
Table 8 contd. - PERCENT OF EACH COUNTY IN BAY MODEL SEGMENTS
STATE COUNTY
VA PAGE
VA PETERSBURG
VA PORTSMOUTH
VA PORTSMOUTH
VA PORTSMOUTH
VA PORTSMOUTH
VA POWHATAN
VA POWHATAN
VA POWHATAN
VA PRINCE EDWARD
VA PRINCE GEORGE
VA PRINCE GEORGE
VA PRINCE WILLIAM
VA PRINCE WILLIAM
VA PRINCE WILLIAM
VA PRINCE WILLIAM
VA RAPPAHANNOCK
VA RAPPAHANNOCK
VA RICHMOND
VA RICHMOND
VA RICHMOND
VA RICHMOND
VA RICHMOND CITY
VA RICHMOND CITY
VA RICHMOND CITY
VA ROANOKE
VA ROCKBRIDGE
VA ROCKINGHAM
VA ROCKINGHAM
VA ROCKINGHAM
VA ROCKINGHAM
VA SHENANDOAH
VA SHENANDOAH
VA SPOTSYLVANIA
VA SPOTSYLVANIA
VA SPOTSYLVANIA
VA SPOTSYLVANIA
VA SPOTSYLVANIA
VA SPOTSYLVANIA
VA SPOTSYLVANIA
VA STAFFORD
VA STAFFORD
VA STAFFORD
VA STAFFORD
VA SUFFOLK
VA SUFFOLK
VA SUFFOLK
VA SUFFOLK
MODEL SEGMENT
230
JAMES
COASTAL 9
ELIZABETH
JAMES RIVER
NANSEMOND
290
300
JAMES
300
JAMES
JAMES RIVER
220
OCCOQUAN
POTOMAC
POTOMAC RIVER
190
230
GREAT WICOMICO
POTOMAC
RAPPAHANNOCK
RAPP RIVER
290
CHICKAHOMINY
JAMES
270
270
170
190
200
280
175
200
230
235
240
250
260
LAKE ANNA
RAPPAHANNOCK
230
POTOMAC
POTOMAC RIVER
RAPPAHANNOCK
ELIZABETH
JAMES
JAMES RIVER
NANSEMOND
PERCENT IN SEGMENT
.005
.992
.423
.317
.052
.209
.731
.239
.030
.963
1.01
.008
.001
.796
.196
.006
.004
.996
.001
.001
.995
.002
.050
.043
.907
.102
.999
.013
.562
.424
.001
.013
.987
.103
.472
.027
.111
.107
.037
.144
.142
.705
.005
.148
.001
.033
.002
.339
36
-------
Table 8 contd. - PERCENT OF EACH COUNTY IN BAY MODEL SEGMENTS
STATE COUNTY
VA SURRY
VA SURRY
VA VIRGINIA BEACH
VA VIRGINIA BEACH
VA WARREN
VA WARREN
VA WARREN
VA WESTMORELAND
VA WESTMORELAND
VA WESTMORELAND
VA WESTMORELAND
VA WILLIAMSBURG
VA WILLIAMSBURG
VA YORK
VA YORK
VA YORK
VA YORK
VA YORK
WV BERKELEY
WV GRANT
WV GRANT
WV HAMPSHIRE
WV HAMPSHIRE
WV HAMPSHIRE
WV HAMPSHIRE
WV HARDY
WV HARDY
WV HARDY
WV HARDY
WV JEFFERSON
WV JEFFERSON
WV MINERAL
WV MONROE
WV MORGAN
WV MORGAN
WV PENDLETON
WV PENDLETON
MODEL SEGMENT
JAMES
JAMES RIVER
CHESAPEAKE BAY
COASTAL 9
190
200
230
POTOMAC
POTOMAC RIVER
RAPPAHANNOCK
RAPP RIVER
JAMES
YORK
CHESAPEAKE BAY
COASTAL 9
JAMES
YORK
YORK RIVER
180
160
170
160
170
175
180
160
170
175
200
180
200
160
270
175
180
170
270
PERCENT IN SEGMENT
.411
.002
.011
.418
.373
.621
.005
.694
.016
.275
.015
.566
o434
.006
.356
.099
.516
.023
1
.512
.488
.039
.273
.686
.003
.004
.441
.519
.036
.536
.464
1
.149
.454
.546
.996
.004
37
-------
URBAN LAND SUB-CATEGORIES
CIS system data for 1972 were utilized to divide urban land into sub-categories
similar to those used in the NVPDC model. Tables 9-A and 9-B show the
percentage of each model segment designated as residential, commercial,
industrial, transportation, institutional, and impervious surface.
TABLE 9-A
% URBAN LAND IN VARIOUS CATEGORIES BY SEGMENT ABOVE THE FALL LINE
SEGMT RESIDENT COMMERCIAL INDUSTRIAL TRANSPORT INSTITUT IMPERVIOUS
10 69 18 40 10 36
20 90 10 00 0 31
30 36 39 4 12 9 52
40 24 58 34 11 61
50 66 5 3 15 11 31
60 49 12 5 19 15 37
70 48 18 5 19 10 41
80 63 19 1 11 6 39
90 43 8 3 37 9 39
100 66 11 48 11 35
110 54 18 5 10 12 39
120 64 17 28 8 37
140 96 0 31 0 27
160 71 8 11 7 1 36
170 69 14 42 11 34
175 50 15 4 26 6 42
180 71 5 20 1 3 37
190 81 8 16 3 31
200 76 5 12 5 2 38
210 65 6 3 25 1 36
220 66 12 0 14 6 35
230 91 4 21 3 28
235 65 17 1 15 2 36
240 58 14 3 18 7 38
250 83 6 41 5 30
260 67 8 1 23 2 36
265 82 13 50 0 35
270 73 5 3 16 4 33
280 80 8 36 3 32
290 73 9 0 10 8 32
300 74 14 19 3 36
310 95 5 00 0 28
330 90 7 00 3 29
340 39 38 3 11 9 51
38
-------
TABLE 9-B
SEGMT
% URBAN LAND IN VARIOUS CATEGORIES BY SEGMENT BELOW THE FALL LINE
RESIDENT COMMERCIAL INDUSTRIAL TRANSPORT INSTITUT IMPERVIOUS
ANACOSTIA
HALT HARB
BOHEMIA
CHESTER
CHICKAH
CHOPTANK
COAST 1
COAST 11
COAST 4
COAST 5
COAST 6
COAST 8
COAST 9
ELIZABETH
CRT WICO
GUNPOWD
JAMES
LAKE ANNA
NANSEMOND
NANTICOKE
OCCAQUAN
PATAPSCO
PATUXENT
POCOMOKE
POTOMAC
RAPPAHAN
SEVERN
WICOMICO
WYE
YORK
38
49
75
86
71
81
83
67
77
75
40
88
44
86
92
38
68
39
85
89
78
46
83
81
69
76
79
82
93
65
43
43
20
12
12
15
10
23
12
13
38
8
39
6
7
58
16
61
5
7
14
28
12
11
20
12
5
10
6
20
2
3
0
1
1
1
0
3
4
1
2
1
1
0
0
4
5
0
0
3
1
7
1
5
1
2
1
2
0
4
4
1
0
0
14
0
2
5
4
3
6
2
4
8
1
0
7
0
6
0
4
0
3
0
4
5
0
3
0
8
13
4
5
1
2
3
5
2
3
9
14
1
12
0
0
0
4
0
5
1
3
18
2
3
7
4
15
3
1
4
51
52
36
32
35
34
31
42
34
33
48
30
48
31
29
62
38
62
28
30
34
42
33
34
38
34
26
32
32
40
39
-------
TABLE 10
% OF CONSERVATION TILLAGE AND CONVENTIONAL TILLAGE BY COUNTY - 1985
Percentage of conservation tillage in each county was developed from the 1985
Conservation Tillage Information Center Report.
STATE/COUNTY
DE KENT
DE NEW CASTLE
DE SUSSEX
MD ALLEGANY
MD ANNE ARUNDEL
MD BALTIMORE
MD CALVERT
MD CAROLINE
MD CARROLL
MD CECIL
MD CHARLES
MD DORCHESTER
MD FREDERICK
MD GARRETT
MD HARFORD
MD HOWARD
MD KENT
MD MONTGOMERY
MD PRINCE GEORGES
MD QUEEN ANNES
MD SOMERSET
MD ST MARYS
MD TALBOT
MD WASHINGTON
MD WICOMICO
MD WORCESTER
NY ALLEGANY
NY BROOME
NY CHEMUNG
NY CHENANGO
NY CORTLAND
NY DELAWARE
NY HERKIMER
NY LIVINGSTON
NY MADISON
NY ONANDAGA
NY ONEIDA
NY ONTARIO
NY OTSEGO
NY SCHOHARIE
PERCENT
CONSERVATION
TILLAGE
70.8
66.
74.
28.
70.
61.
36,
45.
63.
67.
17.
59.
85.
30.
76.
97,
91,
73.0
6.6
.1
.9
,5
.5
.7
.2
69.
68.
46.
60.
73.
24.
81.0
3.4
13.2
7.4
2.7
6.4
1.3
7.8
9.0
1.9
14.4
5.4
12.
0.
.1
.5
PERCENT
CONVENTIONAL
TILLAGE
29.
33.
25.
71.
29.
38,
63.6
54
36
32
82.9
40.8
14.1
69.9
23.7
27.0
2.5
8
93
30
31
53
39.5
26.3
75.8
19.0
96.6
86.8
92.6
97.3
93.6
5.0
98
92
91
98
85.6
94.6
87.9
99.5
95.0
40
-------
Table 10 COntd. - % OF CONSERVATION TILLAGE AND CONVENTIONAL TILLAGE
STATE/COUNTY
NY SCHUYLER
NY STEUBEN
NY TIOGA
NY TOMPKINS
NY YATES
PA ADAMS
PA BEDFORD
PA BERKS
PA BLAIR
PA BRADFORD
PA CAMBRIA
PA CAMERON
PA CENTRE
PA CHESTER
PA CLEARFIELD
PA CLINTON
PA COLUMBIA
PA CUMBERLAND
PA DAUPHIN
PA ELK
PA FRANKLIN
PA FULTON
PA HUNTINGDON
PA INDIANA
PA JUNIATA
PA LACKAWANNA
PA LANCASTER
PA LEBANON
PA LUZERNE
PA LYCOMING
PA MCKEAN
PA MIFFLIN
PA MONTOUR
PA NORTHUMBERLAND
PA PERRY
PA POTTER
PA SCHUYLKILL
PA SNYDER
PA SOMERSET
PA SULLIVAN
PA SUSQUEHANNA
PA TIOGA
PA UNION
PA WAYNE
PA WYOMING
PA YORK
PERCENT
CONSERVATION
TILLAGE
PERCENT
CONVENTIONAL
TILLAGE
3.1
5.1
2.3
16.8
13.9
72.7
57.5
46.1
24.3
2.2
7.1
0.0
49.4
68.3
18.9
36.2
25.0
65.7
19.9
0.4
56.3
52.4
44.4
26.4
29.6
37.1
42.9
25.4
21.1
62.5
0.7
46.0
31.1
43.8
63.4
1.2
40.8
46.4
42.4
10.8
29.8
27.5
37.4
48.9
29.1
96.9
94.9
97.7
83.2
86.1
27.3
42.5
53.9
75.7
97.8
92.9
100.0
50.6
31.7
81.1
63.8
75.0
34.3
80.1
99.6
43.7
47.6
55.6
73.6
70.4
62.9
57.1
74.6
78.9
37.5
99.3
54.0
68.9
56.2
36.6
98.8
59.2
53.6
57.6
89.2
70.2
72.5
62.6
51.1
70.9
65.5
34.5
41
-------
Table 10 contd. - % OF CONSERVATION TILLAGE AND CONVENTIONAL TILLAGE
STATE/COUNTY
VA ACCOMACK
YA ALBEMARLE
VA ALLEGHANY
VA AMELIA
VA AMHERST
VA APPOMATTOX
VA ARLINGTON
VA AUGUSTA
VA BATH
VA BEDFORD
VA BOTETOURT
VA BUCKINGHAM
VA CAMPBELL
VA CAROLINE
VA CHARLES CITY
VA CHESAPEAKE CITY
VA CHESTERFIELD
VA CLARKE
VA CRAIG
VA CULPEPER
VA CUMBERLAND
VA DINWIDDIE
VA ESSEX
VA FAIRFAX
VA FAUQUIER
VA FLUVANNA
VA FREDERICK
VA GILES
VA GLOUCESTER
VA GOOCHLAND
VA GREENE
VA HANOVER
VA HENRICO
VA HIGHLAND
VA ISLE OF WIGHT
VA JAMES CITY
VA KING AND QUEEN
VA KING GEORGE
VA KING WILLIAM
VA LANCASTER
VA LOUDOUN
VA LOUISA
VA MADISON
VA MATHEWS
VA MIDDLESEX
VA MONTGOMERY
PERCENT
CONSERVATION
TILLAGE
PERCENT
CONVENTIONAL
TILLAGE
33.6
25.7
100.0
52.7
46.7
66.4
74.3
0.0
47.3
53.3
32.9
73.0
91.4
64.4
84.8
79.4
27.2
90.9
63.3
54.5
25.3
73.4
73.1
68.6
90.1
4.5
37.0
53.
80,
69.6
58.3
99.8
.7
,5
,1
.4
.5
.7
24.
57.
44.
67.0
77.5
37,
44.
61,
40.0
55.0
48.8
20.7
93.2
58.0
39.6
9.3
7.4
67.2
67.1
27.0
8.6
35.6
15.2
20.6
72.8
9.1
36
45
74
26.6
26.9
31.4
9.9
95.5
63.0
46.3
19.4
30.4
41.7
0.2
75.3
42.5
55.9
33.0
22.5
62.6
55.5
38.3
60.0
45.0
51.2
79.3
6.8
42.0
60.4
90.7
92.6
32.8
42
-------
Table 10 contd. - % OF CONSERVATION TILLAGE AND CONVENTIONAL TILLAGE
STATE/COUNTY
VA NELSON
VA NEW KENT
VA NORTHAMPTON
VA NORTHUMBERLAND
VA NOTTCWAY
VA ORANGE
VA PAGE
VA POWHATAN
VA PRINCE EDWARD
VA PRINCE GEORGE
VA PRINCE WILLIAM
VA RAPPAHANNOCK
VA RICHMOND
VA ROANOKE
VA ROCKBRIDGE
VA ROCKINGHAM
VA SHENANDOAH
VA SPOTSYLVANIA
VA STAFFORD
VA SUFFOLK CITY
VA SURRY
VA VIRGINIA BEACH
VA WARREN
VA WESTMORELAND
VA YORK
WV BERKELEY
WV GRANT
WV HAMPSHIRE
WV HARDY
WV JEFFERSON
WV MINERAL
WV MONROE
WV MORGAN
WV PENDLETON
PERCENT
CONSERVATION
TILLAGE
55.0
66.9
50.4
26.6
81.5
24.8
.7
.5
,4
76.
40.
38.
24.0
86.8
66.3
9.2
49.2
100.0
59.2
32.8
30
68
64
66
100.0
71.8
20.5
26.5
65.4
32
47
13.9
90.4
34.8
47.3
27.3
.6
.0
.2
.9
.1
.2
PERCENT
CONVENTIONAL
TILLAGE
45.0
33.1
49.6
73.4
18.5
75.2
,3
.5
.2
.7
23
59
61.6
76.0
13
33
90.8
50.8
0.0
40.8
67.2
69.4
32.0
35.8
33.1
0.0
28.
79.
73,
34.6
67.9
52.8
86.1
9.6
.2
,7
30.8
65.
52.
72.7
69.2
43
-------
FOREST LAND USE
Forest acreages for 1950, 1978 and 1985 were compiled from 1950 Timber Survey
Data in the CBLO Cultural File and 1978 and 1985 County Land Use Data submitted
by SCS State Offices.
The CBLO Cultural File for 1950 does not include data for all counties in
the basin. Because the 1978 and 1985 data are for use in the watershed model,
woodland numbers for some counties may include some idle land and/or wetlands.
These land uses have similar loading characteristics and the model has a limited
number of land uses available.
These data, the best available at this time, give a good indication of changes
from 1978 to 1985. Since 1950 data are limited, however, it is difficult to
show total changes for the basin over the last 40 years. Constructing a
complete 1950 data set from the original 1950 Timber Survey information would
require an inordinate amount of time.
As an indicator of trends in the Bay basin, a 1989 report from Virginia shows a
4 percent increase in forest land between 1956 and 1976 and a 2 percent decrease
from 1976 to 1986. Virginia projects an additional 2 percent decline from 1986
to 1996.
TABLE 11
STATE COUNTY
FOREST LAND ACREAGE
1950
1978
1985
DC
WASHINGTON
3200
3100
DE
DE
DE
KENT
NEW CASTLE
SUSSEX
0
0
0
50943
6830
130148
50535
6697
130024
MD ALLEGANY
MD ANNE ARUNDEL
MD BALTIMORE
MD CALVERT
MD CAROLINE
MD CARROLL
MD CECIL
MD CHARLES
MD DORCHESTER
MD FREDERICK
MD GARRETT
MD HARFORD
MD HOWARD
MD KENT
MD MONTGOMERY
198000
174000
174000
92000
85000
78000
84280
215000
164000
142000
126900
103000
51000
43000
74000
183286
126010
147560
87967
77920
81267
85703
193000
257160
137140
107940
138673
52396
53152
95081
181186
112756
122661
73367
75125
84967
85646
191011
257410
135140
107940
146289
50240
52637
98081
44
-------
Table 11 COntd. - FOREST LAND ACREAGE
STATE COUNTY
1950
1978
1985
MD
MD
MD
MD
MD
MD
MD
MD
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PRINCE GEORGES
QUEEN ANNES
SOMERSET
ST MARYS
TALBOT
WASHINGTON
WICOMICO
WORCESTER
ALLEGANY
BROOME
CHEMUNG
CHENANGO
CORTLAND
DELAWARE
HERKIMER
LIVINGSTON
MADISON
ONEIDA
ONONDAGA
ONTARIO
OTSEGO
SCHOHARIE
SCHUYLER
STEUBEN
TIOGA
TOMPKINS
YATES
ADAMS
BEDFORD
BERKS
BLAIR
BRADFORD
CAMBRIA
CAMERON
CENTRE
CHESTER
CLEARFIELD
CLINTON
COLUMBIA
CUMBERLAND
DAUPHIN
ELK
FRANKLIN
FULTON
188000
78000
92000
156000
47000
106000
129000
97800
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
146200
388700
17550
192300
312800
103600
243600
492400
0
486540
509000
139800
219400
154600
159635
184700
178200
134686
66127
172062
126425
45404
98280
121780
134991
34563
246431
144728
339279
147191
120490
24838
3363
95157
16528
12993
571
359893
16429
45703
424553
193600
35501
3276
141618
438536
23328
246514
374950
133671
248900
553291
20642
538991
521464
168388
139236
173985
161198
238978
195412
115875
66990
171082
132125
42016
96680
125924
130444
35219
252164
147659
357225
150915
123192
25094
3475
96612
16492
13188
599
374503
17133
45591
438761
196600
36163
3627
98930
428541
20497
239155
358022
120749
244574
546188
16082
530598
519193
155915
127839
163684
161332
210050
192797
45
-------
Table ll contd. - FOREST LAND ACREAGE
STATE COUNTY
1950
1978
1985
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
HUNTINGDON
INDIANA
JUNIATA
LACKAWANNA
LANCASTER
LEBANON
LUZEPNE
LYCOMING
MCKEAN
MIFFLIN
MONTOUR
NORTHUMBERLAND
PERRY
POTTER
SCHUYLKILL
SNYDER
SOMERSET
SULLIVAN
SUSQUEHANNA
TIOGA
UNION
WAYNE
WYOMING
YORK
ACCOMACK
ALBEMARLE
ALLEGHANY
AMELIA
AMHERST
APPOMATTOX
ARLINGTON
AUGUSTA
BATH
BEDFORD
BOTETOURT
BUCKINGHAM
CAMPBELL
CAROLINE
CHARLES CITY
CHESAPEAKE CITY
CHESTERFIELD
CLARKE
CRAIG
CULPEPER
CUMBERLAND
DINWIDDIE
ESSEX
404700
0
146300
158865
87115
60570
309760
561400
0
172700
28800
93400
213500
335460
156050
126200
74900
239300
264800
427100
109000
0
146500
137100
64554
295400
250500
164600
221000
109130
0
352400
302800
61860
208362
295500
44060
328560
87300
0
227400
35200
146370
115800
134700
69780
211000
424033
29468
163149
163729
125863
80691
375819
620652
12671
186228
29952
136748
252117
365962
193347
120156
60268
261992
336314
491274
129835
25943
198809
189888
133851
330274
263730
175098
213475
111542
0
357156
312812
46241
221379
294545
40328
283014
98071
42188
217538
40271
150573
136484
133011
56433
119678
410462
28055
159438
154301
82544
71195
357360
614449
12289
183723
25957
123538
248106
363787
185002
116306
58200
266255
318518
468345
123937
25351
191369
159426
128590
332827
258846
168301
203026
109372
0
336715
308046
43885
211371
288310
38485
285022
94422
34695
200960
38046
145514
127250
122179
56632
110068
46
-------
Table 11 contd. - FOREST LAND ACREAGE
STATE COUNTY
VA FAIRFAX
VA FAUQUIER
VA FLUVANNA
VA FREDERICK
VA GILES
VA GLOUCESTER
VA GOOCHLAND
VA GREENE
VA HANOVER
VA HENRICO
VA HIGHLAND
VA ISLE OF WIGHT
VA JAMES CITY
VA KING AND QUEEN
VA KING GEORGE
VA KING WILLIAM
VA LANCASTER
VA LOUDOUN
VA LOUISA
VA MADISON
VA MATHEWS
VA MIDDLESEX
VA MONTGOMERY
VA NELSON
VA NEW KENT
VA NORTHAMPTON
VA NORTHUMBERLAND
VA NOTTOWAY
VA ORANGE
VA PAGE
VA POWHATAN
VA PRINCE EDWARD
VA PRINCE GEORGE
VA PRINCE WILLIAM
VA RAPPAHANNOCK
VA RICHMOND
VA RQANOKE
VA ROCKBRIDGE
VA ROCKINGHAM
VA SHENANDOAH
VA SPOTSYLVANIA
VA STAFFORD
VA SUFFOLK
VA SURRY
VA VIRGINIA BEACH
VA WARREN
VA WESTMORELAND
1950
1978
1985
145300
166500
120700
145800
0
96100
132300
62200
209600
79400
196400
71640
67600
156400
74300
131300
56400
98400
228300
119700
29500
107600
0
221000
109200
22860
75000
71450
143100
128900
131400
166500
0
135800
96500
76800
10890
252600
307400
185800
193500
131500
98340
40560
0
79420
90200
122252
205617
139853
154412
5471
112864
143961
70569
194896
101142
207571
0
67707
173179
81235
129043
56462
128727
251215
117561
41097
60176
7688
243021
116222
50867
76623
72956
138438
131691
132165
155340
132061
105975
111053
90839 '
13446
266468
353054
220781
201372
136711
64029
58716
28624
90518
93754
91202
189804
138634
149293
5692
100084
128893
58939
191885
96624
208088
58450
72387
163985
77163
127788
55028
108836
237601
115311
43764
60087
6669
227693
111888
53141
72271
67268
135889
131570
117411
147504
130505
104842
109308
85538
11758
259252
332212
213572
194310
127823
53130
58071
26104
83431
90257
47
-------
VA
WV
WV
WV
WV
WV
WV
WV
WV
WV
YORK
BERKELEY
GRANT
HAMPSHIRE
HARDY
JEFFERSON
MINERAL
MONROE
MORGAN
PENDLETON
76500
38425
31980
0
0
0
0
0
0
0
0
0
104835
229065
302580
290827
31120
156468
28089
115796
338243
97664
222342
318134
290358
25937
164957
28089
116018
349230
STATE TOTALS
DE
MD
NY
PA
VA
WV
0 187921 187256
2697980 2724010 2655592
0 2265087 2334212
8182545 9294010 8882059
9066936 9473539 9105497
0 1597023 1612729
48
-------
REFERENCES
Information, Conservation Tillage Data, sent from Bruce Julian, Conservation
Technology Information Center, November 1986
Northern Virgina Planning District C, "Chesapeake Bay Basin Model," Final Report
prepared for U.S. Environmental Protection Agency, January 1983
U.S. Department of Commerce, Bureau of the Census, 1980. 1978 Census of
Agriculture, Volume 1, Geographic Area Series
U.S. Department of Commerce, Bureau of the Census, 1984. 1982 Census of
Agriculture, Volume 1, Geographic Area Series
U.S. Department of Agriculture, Forest Service, Forest Statistics for New York,
1980, Resource Bulletin NE-71, Broomall, PA, 1982
U.S. Department of Agriculture, Forest Service, Forest Statistics for
Pennsylvania 1980, Resource Bulletin NE-65, Broomall, PA, 1980
U.S. Department of Agriculture, Forest Service, Forest Resources of West
Virginia. Resource Bulletin NE-56, Brooraall, PA, 1978
U.S. Department of Agriculture, Forest Service, The Timber Resources of
Delaware. Resource Bulletin NE-32, Broomall, PA, 1974
U.S. Department of Agriculture, Forest Service, Viginia's Timber, 1977.
Resource Bulletin SE-44, Asheville, NC, 1978
U.S. Department of Agriculture, Soil Conservation Service, Animal Waste
Management Field Manual. U.S. Government Printing Office, 1975.
U.S. Department of Agriculture, Soil Conservation Service, Soil Interpretations
Records (SCS-SOI-5 data) file; and the National Resources Inventory (NRI).
U.S. Environmental Protection Agency, Chesapeake Bay; A Framework for Action,
Region 3, Phildelphia, PA, 1983
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