D-R-A-F-T
SARA-Analytic Software
(SARA-ASW)
Design Paper,
Physical Data Base Design,
Design Data Dictionary, and
Design Decision Paper,
Submitted to:
Office of Solid Waste and Emergency Response
ADP Steering Committee
Prepared by:
DPRA Incorporated
Washington, DC
EPA Contract No. 68-01-7290
Work Assignment No.: 123
February 8, 1989
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1.0 INTRODUCTION
This section introduces this Decision paper, which consists
of eight (8) sections. This one, INTRODUCTION, and seven
others, as follows:
Section 2.0, SUMMARY OF REQUIREMENTS
Section 3.0, OVERALL SYSTEM ARCHITECTURE
Section 4.0, SYSTEM DESIGN
Section 5.0, DATA BASE DESIGN
Section 6.0, USER SUPPORT CONSIDERATIONS
Section 7.0, SUMMARY OF PROJECT PHASING AND WORK PLAN
Section 8.0, SUMMARY OF DECISION NEEDED
Additionally, there are four appendices, as follows:
APPENDIX A, REPORT FORMS AND LOOK-UP TABLES
APPENDIX B, GENERATION DATA INPUT FILE DATA ELEMENT
DICTIONARY
APPENDIX C, SARA CAPACITY DATA FILE DATA ELEMENT
DICTIONARY
APPENDIX D, SARA INTERNAL DATA FILE DATA ELEMENT
DICTIONARY
1.1 Purpose of This Paper
This paper has four purposes. It is intended to :
o Present the SARA-ASW design and obtain approval to
proceed with the next phase in the development stage
of the software life cycle,
o Affirm that the overall process logic embodies the
constraints and intentions of the Technical Support
Document (TSD) now called the Technical Reference
Manual (TRM),
o Affirm the decision that the requirements will be
fulfilled by the design presented in this paper,
o Provide sufficiently detailed guidance to allow
rapid, efficient production of code.
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In the interest of efficiency, this paper combines four
documents required by the OSWER Life Cycle Management
Guidance:
o The Design Decision Paper, contained in section 1
and supported by discussions in sections 2, 3, 6, 7,
and 8
o The System Design, contained in section 4
o Physical Data Base Design, contained in section 5
o The Design Data Dictionary, contained in Appendices
B, C, AND D.
1.2 Reference to Related Documents
This paper assumes familiarity with previous SARA-ASW
documents including:
o Assurance of Hazardous Waste Capacity: Guidance to
State Officials, Assistance in Fulfilling the
Requirements of CERCLA 104(c)(9), December 1988
o Technical Reference Manual for Reporting the Current
Status of Generation, Management Capacity, Imports
and Exports, January 1989
o SARA-ASW Initiation-Concept-Definition Decision
Paper (ICDD Paper), October 7, 1988
o Requirements Definition SARA Capacity Assessment
Analytic Software, October 24, 1988
1.3 Recommendat ion
The design for SARA Analytic Software (SARA-ASW) presented
below be approved and the system be developed in accordance
with the schedule summarized in Section 7 below.
In order to approve the design, the Steering Committee (SC)
must confirm:
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1 that the needs described in the ICDD paper are still
valid
2 that SARA-ASW fully and cost-effectively addresses
those needs.
3 that the required resources are available.
4 that a threshold analysis indicates that the SC make
the approval decision.
1.4 Findings
The following findings correspond to the decisions noted in
Section 1.3 above.
1 The Capacity Assurances required by SARA are a
critical element of the RCRA program for the next
fiscal year. EPA has decided to distribute software
to assist the states. This software will assure
that the capacity assurances are consistent and can
be utilized at a national level. It is still an
important component of the RCRA program. Thus, the
basic information management problems that SARA-ASW
will fulfill remain unmet.
2 The costs described in the SARA-ASW Project Manage-
ment Plan are sufficient to complete development of
the software. There are no additional appreciable
resource commitments required.
3 The SARA-ASW system concept makes use of a PC as the
only data processing hardware. However, a mainframe
version of SARA-ASW will be supplied as a part of
the BIRDS development to provide support to states
where the PC is not an available or appropriate
resource.
4 Since this system affects all the regions and states
and implements a critical, highly visible national
priority program, a threshold analysis suggests that
the design approval decision must be submitted to
the SC.
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2.0 SUMMARY OF REQUIREMENTS
This section presents a summary of the requirements that the
SARA-ASW must meet. The requirements for the SARA-ASW were
presented initially in the SARA-ASW INITIATION-CONCEPT-
DEFINITION DECISION PAPER. Subsequently, an outline
presenting the details of the processing required by the
draft Technical Support Document was prepared. This outline
was the basis of four major walkthrough meetings to clarify
and refine the requirements. Thus, this summary includes the
results of these meetings and related decisions.
2.1 Output Requirements
The SARA-ASW package must produce as output the tables
specified in Section
The tables referred to above will contain waste stream
volumes in standard units of measure, cross-tabulated by SARA
waste and management categories. The tables will also
contain state management capacity information for each SARA
management category. State officials will use these figures
in making their capacity assurance estimates. SARA-ASW will
permit the user to manipulate these tables (by editing the
capacity data input file) to generate "What if?" scenario
estimates, which will be identical in format to the originals
but will be clearly identified as scenarios. These tables
will serve as raw material for making assessments of future
capacities as required by SARA.
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2.2 Input Requirements
The SARA-ASW will require data of two types: hazardous waste
generation data, such as that which is available from the
1987 Biennial Report, and capacity data, which will be
supplied with the SARA-ASW. This SARA Capacity Data Base is
drawn from the TSDR survey. State officials may substitute
data from other sources, provided they use the format
specified by SARA-ASW when they enter the data into the
system. Thus, all data to be used by the SARA-ASW must
conform to the BIRDS Data Element Dictionary (DED).
Input generation data files must conform to the BIRDS
transfer file specification provided to states by OSW as part
of 1987 State Biennial Program Report Requirements
established pursuant to 40 CFR 270.5(b)(2). States that use
generation data from other sources will need to supply their
generation data to SARA-ASW in the same file format.
The SARA-ASW must be able to manage more than one version of
a state's generation data. State officials may load separate
versions of their generation data for each of several
planning periods and use SARA-ASW to produce comparison
tables. This capability will permit a state to use the BIRDS
capacity data if it wishes.
The SARA Capacity data base will be extracted from the TSDR
survey and incorporated into the SARA-ASW package. Although
the BIRDS data system will also contain capacity data, it has
the following characteristics, which have led to a decision
to not have the SARA-ASW automatically accept the capacity
data from a BIRDS data set:
o It may not have been reviewed and verified by the
submitting state officials
o It will contain no data on the capacity of
facilities outside of the state.
SARA-ASW will provide a method of editing capacity data so
that state officials can make changes, create more than one
version of this capacity data, and use SARA-ASW to produce
comparison tables.
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2.3 Data-Processing Requirements
The SARA-ASW package will provide two methods for calculating
demand for capacity; the particular method used depends on
what data are available to the state. The "high" option
method requires detailed data on all the management processes
and waste streams. Under the "high" option, the distribution
of waste, in SARA treatability groups, is actually determined
from the detailed management data. The distribution of waste
streams to SARA waste types is similarly determined from
analysis of the detailed data. In the "low" option, a
national pattern is used to create these distributions.
If the "high" option method is used, the SARA-ASW will
produce estimates of a state's demand for capacity from BIRDS
waste-management data, grouped by waste management
categories. Since they are based on site-specific data,
these estimates will reflect the plans and activities of
individual facilities within a state.
If the "low" option method is used, the SARA-ASW will attempt
to compensate for the lack of detailed, site-specific waste
data. It will group the state's generation data by RCRA
waste code categories and convert it to waste types through
the application of a conversion table estimated to represent
national pattern values. Similar tables will be used to
distribute waste types among the management categories.
These tables, contained in the TRM, were developed through
extensive engineering analysis of TSDR survey and 1985
Biennial Report data. Since the table values characterize
the nation's waste as a whole, and are not specific to any
one facility or state, individual officials will be able to
replace elements of the national pattern table with values
that yield results more closely representative of their own
state's waste generation and management as such data became
available. Although the table-driven conversion will satisfy
the requirements of SARA Capacity Assurance, it will not
provide the level of accuracy generally desired by officials
in long-range planning.
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2.4 Results of the SARA-ASW Design Walkthrough Meetings
During the months of October, November, and December 1988,
five meetings were held among the principle organizational
units involved in design and production of the Capacity
Assurance project. These are:
o The Cross-Media Staff, OSWER, who are directing the
project and preparing the State Guidance;
o The Information Management Staff, OSW, who are
directing the development of the SARA-ASW software;
o The Waste Management Branch, OSW, who are providing
technical advice on the methodologies to most
reliably prepare the capacity assurance for any
state;
o Technical specialists from the contractor firms
supporting each of these offices.
The meetings began by reviewing a list of over twenty-two
items identified as requiring clarification. Each meeting
was organized around an outline of the processing logic
contained or implied in the TSD, which reflected the changes
and clarifications developed at the previous meeting.
In addition, the meetings identified a need for additional
documentation to support the capacity assurance efforts. One
need was for the "COOKBOOK" on capacity assurance analysis.
This document is planned to be released in the Spring of
1989. The realization that the "COOKBOOK" was needed led to
a decision to reorient the TSD.
In summary, the requirements described in the SARA-ASW
Initiation-Concept-Definition Decision Paper, October 7,
1988, have been confirmed and clarified by the work of these
meetings.
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3.0 OVERALL SYSTEM ARCHITECTURE
This section presents the design specifications for the
architecture of the SARA-ASW system. These specifications
reflect that fact that this software has a limited life of
approximately 12 to 18 months.
3.1 Hardware
The SARA-ASW is designed to operate on an IBM-XT compatible
personal computer (PC) with at 384,000 bytes of random access
memory (RAM). This minimum memory will allow the SARA-ASW
software to execute, however, the execution time may be
unacceptably slow. Increasing the available memory to
640,000 bytes will result in a somewhat faster execution.
A more significant increase in performance can be obtained by
using a PC with a faster or more powerful central processing
unit (CPU or "chip"). A PC equipped with an 80286 or 80386
cpu will provide a considerable improvement in performance.
3.2 Commercial Software
The SARA-ASW software will be developed in a DBASE III PLUS
source code which will be compiled, where appropriate, using
CLIPPER (summer '87) into an executable program. This means
that a State will have to own DBASE III PLUS to operate SARA-
ASW. Additionally, of course, MS-DOS (PC-DOS) version 3.0 or
later will be required. A state will need to own CLIPPER to
effectively make any changes to the software.
3.3 Communications
The SARA-ASW will not have any communications capabilities,
although it is possible to conceive of some useful
communications capabilities. In light of the short planned
life cycle of this software, none are planned.
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4 . 0 System Design
This section contains a thorough description of the design
for SARA-ASW. This description has three components. The
first are Data Flow Diagrams (DFDs) that graphically depict
the various processes that comprise SARA-ASW and the
interrelationship among them. The second element is a
description of all the processes depicted on the DFDs. This
description is written in structured text, a form of English
the purpose of which is to make clear the logic and policies
actually implemented in the system. The third element is a
data dictionary that defines each component of the system
design. The data dictionary is contained in Appendices B, C,
and D.
4.1 Introduction
The specification of a future system can be considered as a
contract between the users of that future system and the its
designers and implementors; however, it is frequently
impossible for the users to understand such a specification
due to sheer bulk and the technical concepts underlying the
system design. Thus, the users are left assuming, "Those
computer people know what they are doing." Further, the
system analyst and designer are left without a competent
check on their understanding of the policies that the users
wish to have implemented in the system. This can be a recipe
for disappointment.
Traditional approaches to describing system requirements and
designs for a system resulted in large, tedious tomes that
were nearly incomprehensible. The development of flow charts
facilitated the depiction of program logic but these do not
explain the underlying policies that the system is to
support. Recently, exciting developments have taken place in
creating clear, unambiguous statements for system
requirements that incorporate a graphic element in such a way
that requirements can be depicted with clarity and economy.
Such documentation has resulted in a much improved
communication between system users and designers. Further,
these same documents can be readily understood by the system
programmers resulting in shorter implementation periods, and
a higher likelihood that the system reflects user needs.
These new approaches are collectively called, structured
analysis and design techniques. The SARA-ASW design is
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described using these techniques in this section in a logical
model. This model contains four elements, each of which is
essential to the full understanding of the system—data flow
diagrams (DFDs), process descriptions, entity relationship
diagrams (ERDs), and a data dictionary that encompasses all
components of the system.
4.2 Data Flow Diagrams
Data flow diagrams {DFDs) graphically depict the flow of data
among the processes that comprise the modelled system. The
DFDs do not have any time dimension, i.e., the flows are not
sequential. They show only the interconnections among the
various parts of the system.
DFDs contain only four following graphic elements.
1. External entities supply information to a process but are
not part of the system. An example is the Biennial
Report.
2. Processes are the logical operations of the system. A
process transforms the data it receives into the data it
sends to the next process. Examples could include
activities such as select waste quantities.
3. Data flows are the interconnections among processes.
4. Data stores are logical accumulations of related data.
The rules governing the construction of DFDs require the
if data is used by more than one process, it be moved
from the generating process or external entity to a
store. Data Stores are the logical elements that form
the information system files.
4.3 Data Flows and Process Descriptions
4.3.1 INITIAL: initialize system settings
Prompt user for STATE abbreviation and store
STATE in SYSSET.
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Prompt the user for the names of each BIRDS
transfer-file-format data file. Get the names
of the WG parent file; WG segment 2, 5, 6, 8,
and 9 child files; WR parent file; and WR
segment 2 and 4 child files. Store the file
names in WGMO, WGS2, WGS5, WGS6, WGS8, WGS9,
WRMO, WRS2, and WRS4. Write variables to
SYSSET.
Check for existence of dBASE files as named in
WGMO, WGS2, WGS5, WGS6, WGS8, WGS9, WPMO, WRS2,
WRS4. If these dBASE files already exist, warn
the user that the most-recent-copy of the BIRDS
data files are to be over written, rename
existing files and set:
WGMO_1 = WGMO,
WGS2_1 = WGS2,
WGS5_1 = WGS5, etc.
Write WGMO_1, WGS2_1, WGS5_1, etc. to SYSSET.
Ask. the user to edit the National Profile
Parameter Tables (TABLEC-1 and TABLE17). If
the user wishes to perform edits, ask the user
whether they would like to edit the original or
most-recent-copy of TABLEC-1 (in SYSSET,
TABLEC-1_0 should be preset to the name of the
original TABLEC-1 file and TABLEC-1_1 remains
uninitialized until TABLEC-1 is modified).
If the original file is requested, create (or
overwrite on a subsequent pass) a most-recent-
copy of TABLEC-1, ask user for a new file name,
store new file name in TABLEC-1_1 and assign
new file name to TABLEC-1.
Else if the most-recent-copy is requested,
assign TABLEC-1_1 to TABLEC-1 and edit the file
indicated by TABLEC-1 using dBASEIII Plus EDIT.
When editing is completed, sum PERCENTages for
each WASTE_CODE in most-recent Table C-l file.
If a sum is not equal to 100, send a warning
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message to the user and return to dBASEIII Plus
EDIT mode on most-recent Table C-l file.
Prompt the user to enter a scenario description
to act as a title to explain output tables.
Store scenario description in TITLE_TC1 in
SYSSET.
If the user wishes to perform edits, ask the
user whether they would like to edit the
original or most-recent-copy of TABLE17 (in
SYSSET, TABLE17_0 should be preset to the name
of the original TABLEI7 file and TABLE17_1
remains uninitialized until TABLE17 is ~~
modified).
If the original file is requested, create (or
overwrite on a subsequent pass) a most-recent-
copy of TABLE17, ask user for a new file name,
store new file name in TABLE17_1 and assign new
file name to TABLE17.
Else if the most-recent-copy is requested,
assign TABLE17_1 to TABLE17 and edit the Table
17 file indicated by TABLE17 using dBASEIII
Plus EDIT.
Prompt the user to enter a scenario description
to act as a title to explain output tables.
Store scenario description in TITLE_T17 in
SYSSET.
Ask the user which year's report he wishes to
produce. If baseline year selected, create (or
overwrite on a subsequent pass) most-recent-
copy of SARA Capacity Data File, CAPFILE.
Dataset name for most-recent-copy is "CAP87_1".
Set CAPFILE to "CAP87_1". Use dBASEIII Plus
EDIT to edit/append records in CAP87 1.
Prompt the user to enter a scenario description
to act as a title to explain output tables.
Store scenario description in TITLE_CAP in
SYSSET.
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Else, if projection year is selected, create
(or overwrite on a subsequent pass) CAPxx 1
(where xx is the projection year, i.e. "95").
Copy variables from the original CAPFILE which
are related to projection year (e.g. AVAIL91
for 1991 report). Assign "CAPxx_l" to CAPFILE.
Use dBASEIII Plus EDIT to edit/append records
in CAPxx 1.
Prompt the user to enter a scenario description
to act as a title to explain output tables.
Store scenario description in TITLE_CAP in
SYSSET.
If baseline year selected, create (or overwrite
on a subsequent pass) most-recent-copy of
"Other Hazardous" waste capacity utilization
file, OTHER. Dataset name for most-recent-copy
is "OTHER_1". Set OTHER to "OTHER_1". Use
dBASEIII Plus EDIT to edit/append records in
OTHER 1.
Prompt the user to enter a scenario description
to act as a title to explain output tables.
Store scenario description in TITLE_OTHER in
SYSSET.
Else, if projection year is selected, create
(or overwrite on a subsequent pass) OTHERxx 1
(where xx is the projection year, i.e. "95").
Copy variables from the original OTHER. Assign
"OTHERxx_l" to OTHER. Use dBASEIII Plus EDIT
to edit/append records in OTHERxx 1.
Prompt the user to enter a scenario description
to act as a title to explain output tables.
Store scenario description in TITLE_OTHER in
SYSSET.
Prompt the user to enter the state-regulated,
"Other Hazardous" waste capacity utilization
for each SARA Management Category. These
should be stored in OTHER as OTHER_ALL_01 ...
OTHER_ALL_15. This shoud be repeated for
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"Other Hazardous" waste capacity utilization
for each commercial status (captive,
commercial, and on-site) and entered into OTHER
as OTHER_CS1_01 . . . OTHER_CS1_15, OTHER_CS2_01
... OTHER_CS2_15, and OTHER_CS3_01 ...
OTHER CS3 15.
4.3.2 IMPORT: input generation data
Get WR parent file name from WRMO. Import
selected fields from BIRDS transfer-file-format
WRMO file. Exclude all records, identified by
WR_KEY__FACID and WR_PAGE, for which there are
no WR_HW_FCCODEs. If the first two characters
of WR_OS_FACID do not equal STATE then set
GEN_LOC to "out-of-state". Set GEN_STATE to
first to characters of WR_OS_FACID. Set FLAG_V
to "on-site". Write data to WRMO. ~
Get WR child file name from WRS2. Import
selected fields from BIRDS transfer-file-format
WRS2 file identified by WR_KEY_FACID and
WR_PAGE_NUM from WRMO. Write data to WRS2.
Get WR child file name from WRS4. Import
selected fields from BIRDS transfer-file-format
WRS4 file identified by WR_KEY_FACID and
WR_PAGE_NUM from WRMO. Write data to WRS4.
Get WG parent file name from WGMO. Import
selected fields from BIRDS transfer-file-format
WGMO file. Exclude all records, identified by
WG_KEY_FACID and WG_PAGE_NUM, for which there
are no WG_HW_CODEs. Set GEN_LOC to "in-state".
Set GEN_STATE to STATE. Write data to WGMO.
Get WG child file name from WGS2. Import
selected fields from BIRDS transfer-file-format
WGS2 file identified by WG_KEY_FACID and
WG_PAGE_NUM from WGMO. Write data to WGS2.
Get WG child file name from WGS5. Import
selected fields from BIRDS transfer-file-format
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WGS5 file identified by WG_KEY_FACID and
WG_PAGE_NUM from WGMO. Write data to WGS5.
Get WG child file name from WGS6. Import
selected fields from BIRDS transfer-file-format
WGS6 file identified by WG_KEY_FACID and
WG_PAGE_NUM from WGMO. Write data to WGS6.
Get WG child file name from WGS8. Import
selected fields from BIRDS transfer-file-format
WGS8 file identified by WG_KEY_FACID and
WG_PAGE_NUM from WGMO. Write data to WGS8.
Get WG child file name from WGS9. Import
selected fields from BIRDS transfer-file-format
WGS9 file identified by WG_KEY_FACID and
PAGE NUM from WGMO. Write data to WGS9.
4.3.3 SELECT: select volume for calculations
To be done for each waste stream in WR files
(WR_KEY_FACID, WR_PAGE, WR_WAST_NO triplet) :
Set:
FACILITY_ID = WR_OS_FACID
PAGE# = WR_PAGE
MGMT_FACID = WR_KEY_FACID
MGMT_LOC = "in-state"
MGMT_STATE = STATE
ERROR^WT = 0
OPTION_WT = 0
WASTE_TYPE = 0
in SARA.
Standardize WR_QR_FY87 using the procedure
described below (section 4.3.3.1), except use
WR_QR_UOM in place of WG_HW_QTYUOM.
Write:
FLAG_V
VOLUME
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GEN_LOC
GEN_STATE
ERROR_V
to SARA.
For WG_KEY_FACID and WG_PAGE_NUM pair in WGMO,
get GEN_LOC, GEN_STATE, and FLAG_V from WGMO.
For WG_KEY_FACID and WG_PAGE_NUM pair in WGMO,
set FLAG_lf to "on-site" if there is a matching
WG_KEY_FACID and WG_PAGE_NUM pair in WGS6.
For WG_KEY_FACID and WG_PAGE_NUM pair in WGMO,
set FLAG_V to "off-site" if there is a matching
WG_KEY_FACID and WG_PAGE_NUM in WGS8, and
FLAG_V was not already set to "on-site", above.
If FLAG_V was already set to "on-site", set
FLAG_V to "both".
If no matches are found, set FLAG_V to null.
If FLAG_V set to "on-site", compare each
GM_ON_TSDR in WGS6, for WG_KEY_FACID and
WG_PAGE_NUM pair, to the codes in TABLE12. If
match is found, read next GM_ON_TSDR. If there
is no "next" GM_ON_TSDR then delete the current
record in WGMO. Else delete the first
GM_ON_TSDR record in WGS6. Compare the current
GM_ON_TSDR against the codes in TABLE13. If
there is a match then read the next GM_ON_TSDR.
If there is no next GM_ON_TSDR, keep the first
(current) GM_ON_TSDR record in WGS6. Else
compare the "next" GM_ON_TSDR against the codes
in TABLE12 and TABLE13. If a match is not
found, then delete the first GM_ON_TSDR record
in WGS6 for the WG_KEY_FACID and WG_PAGE_NUM
pair. Else, if a match is not found, then keep
first GM_ON_TSDR record in WGS6.
Standardize WG_HW_QTYCY as instructed in
Section 4.3.3.1, below.
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If FLAG_V set to "off-site", standardize each
WG_OS_QTYSHP in WGS8 as instructed in Section
4.3.3.1, below.
Compare first two characters of each
WG_OS_EPAID to STATE to determine the MGMT_LOC:
if substring = STATE, set MGMT_LOC to "in-
state"; else set MGMT_LOC to "out-of-state".
Set MGMT_STATE to substring.
If FLAG_V set to "both", compare each
GM_ON_TSDR in WGS6, for WG_KEY_FACID and
WG_PAGE_NUM pair, to the codes in TABLE12. If
match is found, read next GM_ON_TSDR. If there
is no "next" GM_ON_TSDR then delete the current
record in WGMO. Else delete the first
GM_ON_TSDR record in WGS6. Compare the current
GM_ON_TSDR against the codes in TABLE13. If
there is a match then read the next GM_ON_TSDR.
If there is no next GM_ON_TSDR, keep the first
(current) GM_ON_TSDR record in WGS6. Else
compare the "next" GM_ON_TSDR against the codes
in TABLE12 and TABLE13. If a match is not
found, then delete the first GM_ON_TSDR record
in WGS6 for the WG_KEY_FACID and WG_PAGE_NUM
pair. Else, if a match is not found, then keep
first GM_ON_TSDR record in WGS6.
Sum all WG_OS_QTYSHP for WG_KEY_FACID and
WG_PAGE_NUM pair in WGS9. Subtract the total
quantity shipped from WG_HW_QTYCY.
If the difference is less than 0, standardize
WG__HW_QTYCY as instructed in Section 4.3.3.1,
below. Standardize each WG_OS_QTYSHP for
WG_KEY_FACID and WG_PAGE_NUM.
If the differnce is greater than or equal to 0,
standardize the difference in volumes (replaces
WG_HW_QTYCY) . Standardize each WG_OS_QTYSHP
for WG_KEY_FACID and WG_PAGE_NUM.
Check next WG_KEY_FACID and WG_PAGE_NUM pair.
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4.3.3.1 Standardize Volume
Get WG_HW_QTYUOM from WGMO.
If WG_HW_QTYUOM = "tons", then skip Volume
Standardization.
If WG_HW_QTYUOM is not available, set ERROR_V.
Match WG_HW_QTYUOM against units of measure in
TABLES. Get conversion factor from TABLES.
Multiply volume by the conversion factor. If
no match in TABLES is found, then set ERROR_V.
4.3.4 GETWT: determine SARA Waste Type
Determine generation frequency for each record
in waste stream:
If GEN_LOC is set to out-of-state, set GEN_FREQ
to "routine".
Else, set GEN_FREQ = WG_SOURCE.
If WG_SOURCE null, set GEN_FREQ to "routine".
If WG_SOURCE not available, set ERROR_FREQ.
Determine Commercial Status of management
facility:
If GEN_LOC = "out-of-state", compare MGMT_FACID
to FCID in original CAPFILE. When match is
found, set COMM_STAT to COMMFLAG from CAPFILE.
If GEN_LOC = "in-state", and MGMT_LOC = "in-
state", compare MGMT_FACID to FCID in the
original CAPFILE. When the match is found, set
COMM_STAT to COMMFLAG from CAPFILE. If
commercial status can not be determined, set
COMM_STAT to "non-TSDR" and MGMT_CAT to 16
("exempt").
18
-------
If GEN_LOC = "in-state", and FLAG_V is set to
"on-site" or "both", compare FACILITY_ID to
FCID in the original CAPFILE. When the match
is found, set COMM_STAT to COMMFLAG from
CAPFILE. If commercial status can not be
determined, set COMM_STAT to "non-TSDR" and
MGMT_CAT to 16 ("exempt").
if GEN_LOC = "in-state", and MGMT_LOC = "out-
of-state"', compare MGMT_FACID to FCID in the
original CAPFILE. when the match is found, set
COMM_STAT to COMMFLAG from CAPFILE.
Get WG_HW_CODE for WG_KEY_FACID and WG_PAGE_NUM
pair. Get first character of WG_HW_CODE.
If WG_HW_CODE begins with an "S", then set
WASTE_TYPE to WG_HW_CODE without the "S". Set
OPTION_WT to "high". Write:
FACILITY_ID (= WG_KEY_FACID) ,
PAGE# (= WG_PAGE_NUM) ,
FLAG_V,
ERROR_ V,
ERROR_FREQf
GEN_LOC,
GEN_STATE,
MGMT_LOC,
MGMT_STATE,
COMM_STAT,
ERROR_COMM_STAT,
WASTE_TYPE and OPTION_WT to SARA.
Else, check all waste characterization fields
for data: WG_WC_HORG, WG_WC_LORG, WG_WC_HSUSPN,
WG_WC_LSUSPN, WG_WC_HHALGN, WG_WC_LHALGN in
WGMO; and all WG_WC_HMETAL and WG_WC_LMETAL in
WGS5 for the WG_KEY_FACID and WG_PAGE_NUM pair.
If all waste characterization data is
available: get the average of WG_WC_HORG and
WG_WC_LORG; get the average of WG_WC_HSUSPN and
WG_WC_LSUSPN; and get the average of
WG_WC_HHALGN and WG_WC_LHALGN.
19
-------
For each metal, for each WG_KEY_FACID and
WG_PAGE_NUM pair: get the average of
WG_WC_HMETAL and WG_WC_LMETAL. Sum the
averages for all metals.
Get first WG_HW_CODE from WGS2 and WG_WF_CODE
from WGMO. Compare WG_HW_CODE and WG_WF_CODE
to code combinations in TABLE10 (Note that
TABLE10 should be built to check for waste type
1 then 17 then 2 through 16). When match
found, compare averages against those in
TABLE10. When match found, get WASTE_TYPE from
TABLE10.
Set OPTION_WT to "high" for first pass on
WG_KEY_FACID and WG_PAGE_NUM pair; set
OPTIONJrJT to null for all other passes
(volumes) on waste stream. Write :
FACILITY_ID (= WG_KEY_FACID) ,
PAGE# (= WG_PAGE_NUM) ,
FLAG_V,
ERROR_V,
ERROR_FREQ,
GEN_LOC,
GEN_STATE,
MGMT_LOC,
MGMT_STATE,
COMM_STAT,
ERROR_COMM_STAT,
WASTE_TYPE and OPTIONJfJT to SARA.
Else, if waste characterization data is not
available, use waste code and waste form code
to determine SARA waste type.
Count number of WG_HW_CODEs or WR_HW_FCCODEs in
waste stream (WG_KEY_FACID and WG_PAGE_NUM
pair, or WR_KEY_FACID, WR_PAGE, WR_WAST_NO
triplet). Store this value temporarily.
If FLAG_V is set to "on-site" or "both", write:
20
-------
FACILITY_ID (= WG_KEY_FACID) ,
PAGE# (= WG_PAGE_NUM) ,
FLAG_V,
ERROR_V,
ERROR_FREQt
GEN_LOC,
GEN_STATE,
MGMT_LOC,
MGMT_STATE,
COMM_STAT,
ERROR_COMM_STAT,
VOLUME (= WG_HW_QTYCY I count)
to SARA. Repeat for each WG_HW_CODE in waste
stream.
If FLAG_V is set to "off-site", repeat the
following for each WG_HW_CODE:
write the following for each WG_OS_QTYSHP:
FACILITY_ID (= WG_KEY_FACID) ,
PAGEt (= WG_PAGE_NUM) ,
FLAG_V,
ERROR_V,
ERROR_FREQ,
GEN_LOC,
GEN_STATE,
MGMT_LOC,
MGMT_STATE,
COMM_STAT,
ERROR_COMM_STAT,
VOLUME (= WG_OS_QTYSHP / count)
to SARA.
For each WG_HW_CODE, look-up WASTE_TYPE in
TABLEB-1 using the waste code and WG_WF_CODE.
Write the WASTE_TYPE to the appropriate record
in SARA. Set OPTION_WT to "high" for first
pass on WG_KEY_FACID and WG_PAGE_NUM pair; set
OPTION_WT to null for all other passes
(volumes) on waste stream.
21
-------
Else, if neither waste characterization data
nor WG__WF_CODE are available, determine the
SARA waste type by using the National Profile
Parameter Table (TABLEC-1) (Low Option).
Count number of WG_HW_CODEs in waste stream
(WG_KEY_FACID and WG_PAGE_NUM pair) . Store
this value temporarily.
If FLAG_V set to "on-site" or "both", write:
FACILITY_ID
PAGE#
FLAG_V,
ERROR_V,
ERROR_FREQ,
GEN_LOC,
GEN_STATE,
MGMT_LOC,
MGMT_STATE,
COMM_STAT,
ERROR COMM STAT,
(= WG_KEY_FACID) ,
(= WG PAGE NUM) ,
VOLUME
(= WG HW QTYCY / count)
to SARA. Repeat for each WG_HW_CODE in waste
stream.
If FLAG_V is set to "off-site", repeat the
following for each WG_HW_CODE:
write the following for each WG OS QTYSHP:
FACILITY_ID
PAGE#
FLAG_V,
ERROR_V,
ERROR_FREQ,
GEN_LOC,
GEN_STATE,
MGMT_LOC,
MGMT_STATE,
COMM_STAT,
ERROR COMM STAT,
(= WG_KEY_FACID) ,
(= WG PAGE NUM) ,
VOLUME
(= WG OS QTYSHP I count)
22
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to SARA.
Compare WG_HW_CODE against waste codes in
TABLEC-1 (file name indicated by TABLEC-1 in
SYSSET) to locate row position in table.
Copy the structure of SARA to a temporary file.
If FLAG_V set to "on-site" or "both" read
across the row to find a non-zero value in a
cell. When a non-zero value is found, copy the
current SARA record to the temporary file and
set WASTE_TYPE (in the temporary file) to table
column index. Repeat this for each non-zero
value found.
Compare the MGMT_FACID against the FACIDs in
the three Capacity files. If no match is
found, set ERROR_ID (in SARA) and delete the
temporary file. Else, when a match is found,
compare SARACAT against each of the column
indices in TABLE17 for non-zero values
indicated by the current WASTE_TYPE. If the
SARACAT does not match any of the column
indices (management categories), continue the
search through the Capacity files for another
match between MGMT_FACID and FACID. Repeat the
process until a match for the SARACAT is found.
Store each matching management category code,
MC_CODE, in the temporary file. If no SARACAT
matches are found, then flag the record in the
temporary file. Repeat this procedure for each
record in the temporary file.
If COMM_STAT = "non-TSDR" and WASTE_TYPE = 1
then flag the record. When this process has
been completed on the temporary file, sum the
factors from TABLEC-1 (as indicated by the
WG_HW_CODE and the WASTE_TYPE) of each record
in the temporary file which has not been
flagged. Delete all flagged records in the
temporary file. Divide each remaining record's
factor by the factor sum and multiply the
23
-------
VOLUME by the new factor. Replace the VOLUME
in the temporary file with the result.
When processing the first waste code in the
waste stream, OPTION_WT is set to "low", when
processing subsequent waste codes in a waste
stream, OPTION_WT is set to null.
Repeat for next waste code.
If FLAG_V is set to "off-site", then repeat the
following for each VOLUME:
Read across the row to find a non-zero value in
a cell. When a non-zero value is found, copy
the current SARA record to the temporary file
and set WASTE_TYPE (in the temporary file) to
table column index. Repeat this for each non-
zero value found.
If COMM_STAT = "non-TSDR", then redistribute
the factor for Waste Type 1 among the other
waste types for that WG_HW_CODE (see section
4.3.4.1) .
Compare the MGMT_FACID against the FACIDs in
the three Capacity files. If no match is
found, set ERROR_ID (in SARA) and delete the
temporary file. Else, when a match is found,
compare SARACAT against each of the column
indices in TABLE17 for non-zero values
indicated by the current WASTE_TYPE. If the
SARACAT does not match any of the column
indices (management categories), continue the
search through the Capacity files for another
match between MGMT_FACID and FACID. Repeat the
process until a match for the SARACAT is found.
Store each matching management category code,
MC_CODE, in the temporary file. If no SARACAT
matches are found, then flag the record in
the temporary file. Repeat this procedure for
each record in the temporary file.
When this process has been completed on the
temporary file, sum the factors from TABLEC-1
24
-------
(as indicated by the WG_HW_CODE and the
WASTE_TYPE) of each record in the temporary
file which has not been flagged. Delete all
flagged records in the temporary file. Divide
each remaining record's factor by the factor
sum and multiply the VOLUME by the new factor.
Replace the VOLUME in the temporary file with
the result.
When processing the first waste code in the
waste stream, OPTION_WT is set to "low". When
processing subsequent waste codes in a waste
stream, OPTION_WT is set to null.
Repeat for next waste code.
Repeat for next VOLUME.
Else if waste type determination can not be
made (no characterization data, no form code,
and bad waste code), set ERROR WT.
4.3.5 GETMC: determine SARA Management Category
To be done for each waste stream in WR files
(WR_KEY_FACID, WR_PAGE, WR_WAST_NO triplet)
where COMM_STAT is not "non-TSDR" (MGMT_CAT
already set to 16 ["exempt"]):
Repeat for each WR_ON_TS in WRS4;
Get WR_ON_TS from WRS4. Compare WR_ON_TS to
Biennial Report Process codes in TABLE12. If a
match is found, read next WR_ON_TS. Compare
the code against the codes in TABLE12. Repeat
this process until no match is found or no next
process code remains. If there is no next
process code then set ERROR_MC and delete waste
stream from SARA.
Compare NR_ON_TS against Biennial Report
process codes in TABLE13. If a match is found,
compare the next WR_ON_TS against the process
25
-------
codes in TABLE12 and TABLE13. If a match is
found in either table, use the previous
WR_ON_TS and WR_WF_CODE to select the MGMT_CAT
indicated by matching on the process and form
codes in TABLE13.
If WR_ON_TS is not found in either TABLE12 or
TABLE13 then use WR_ON_TS and WR_WF_CODE to
select the MGMTjCAT indicated by matching on
the process and form codes in TABLE14.
If MGMT_CAT = 10, create a duplicate record in
SARA and multiply the VOLUME by 0.3. Replace
the VOLUME in the duplicate record with the
result. If the MGMT_CAT = 11, create a
duplicate record in SARA and multiply the
VOLUME by 2. Replace the VOLUME in the
duplicate record with the result. Use the next
WR_ON_TS to determine a new MGMT_CAT. Replace
the MGMT_CAT in the duplicate record with the
new value.
Set OPTION_MC to "high" for first process code
only. Set OPTION_MC to null for all other
process codes (for waste stream).
Repeat for next WR_ON_TS. If the next process
code results in a new MGMT_CAT set ERROR_PC.
Repeat process until all WR_ON_TS are examined
for the waste stream.
To be done for each record in SARA where
COMM_STAT is not "non-TSDR" (MGMT_CAT already
set to 16 ["exempt"]):
If FLAG_V set to "on-site" or "both", repeat
for each GM_ON_TSDR in WGS6;
Get GM_ON_TSDR from WGS6. Compare GM_ON_TSDR
to Biennial Report Process codes in TABLE12.
If a match is found, read next GM_ON_TSDR.
Compare the code against the codes in TABLE12.
Repeat this process until no match is found or
no next process code remains. If there is no
26
-------
next process code then set ERROR_MC and delete
waste stream from SARA.
Compare GM_ON_TSDR against Biennial Report
process codes in TABLE13. If a match is found,
compare the next GM_ON_TSDR against the process
codes in TABLE12 and TABLE13. If a match is
found in either table, use the previous
GM_ON_TSDR and WG_WF_CODE to select the
MGMT_CAT indicated by matching on the process
and form codes in TABLE13.
If GM_ON_TSDR is not found in either TABLE12 or
TABLE13 then use GM_ON_TSDR and WG_WF_CODE to
select the MGMT_CAT indicated by matching on
the process and form codes in TABLE14.
If MGMT_CAT = 10, create a duplicate record in
SARA and multiply the VOLUME by 0.3. Replace
the VOLUME in the duplicate record with the
result. If the MGMT_CAT = 11, create a
duplicate record in SARA and multiply the
VOLUME by 2. Replace the VOLUME in the
duplicate record with the result. Use the next
GM_ON_TSDR to determine a new MGMT_CAT. Replace
the MGMT_CAT in the duplicate record with the
new value.
Set OPTION_MC to "high" for first process code
only. Set OPTION_MC to null for all other
process codes (for waste stream).
Repeat for next GM_ON_TSDR.
Else, if FLAG_V is set to "off-site" or "both",
for each WG_OS_SEQNO:
If WG_OS_TSDR = "M40" and the next WG_OS_TSDR =
"M72", then multiply VOLUME by 2 and WG_OS_TSDR
= "M72" should be used to select the MGMT_CAT
from TABLE15. If WG_OS_TSDR = "M69" and
WG_WF_CODE = {N21, N22, N30, N41, N42, N43,
N44, N45, N48, N49, N50, N60, N71,N72, N81,
N83, N84, N85,N888, N89, N91, and N99} and the
27
-------
next WG_OS_TSDR = "M72", then multiply VOLUME
by 0.3 and WG_OS_TSDR = "M72" should be used to
select the MGMT_CAT from TABLE15.
Else, use WG_OS_TSDR and WG_WF_CODE to select
the MGMT_CAT from TABLE15.
If MGMT_CAT = 10, create a duplicate record in
SARA and multiply the VOLUME by 0.3. Replace
the VOLUME in the duplicate record with the
result. If the MGMT_CAT = 11, create a
duplicate record in SARA and multiply the
VOLUME by 2. Replace the VOLUME in the
duplicate record with the result. Use the next
WG_OS_TSDR to determine a new MGMT_CAT.
Replace the MGMT_CAT in the duplicate record
with the new value.
Set OPTION_MC to "high".
Repeat the procedure for the next WG_OS_SEQNO.
Else, if FLAG_V set to null (Low Option, no
process codes):
If OPTION_WT = "high" then:
Copy the structure of SARA to a temporary file.
Copy the current record to the temporary file.
Compare the MGMT_FACID against the FACIDs in
the three Capacity files. If no match is
found, set ERROR_ID (in SARA) and delete the
temporary file. Else, when a match is found,
compare SARACAT against each of the column
indices in TABLE17 for non-zero values
indicated by the current WASTE_TYPE. If the
SARACAT does not match any of the column
indices (management categories), continue the
search through the Capacity files for another
match between MGMT_FACID and FACID. Repeat the
process until a match for the SARACAT is found.
Store each matching management category code,
MC_CODE, in the temporary file. If no SARACAT
matches are found, then flag the record in the
28
-------
temporary file. Store the number of records in
the temporary file.
Else, if OPTION_WT = "high" or "low":
If WASTE_TYPE = {7, 8, 10} and none of the
MC_CODEs = 8 (in the temporary file), then
delete any MC_CODE = 7, if it exists.
If WASTE_TYPE = 15 and a MC_CODE = 13, but none
of the MC_CODEs = 10, then subtract 3 from the
factor for WASTE_TYPE = 15, MC_CODE = 13.
Else, if the WASTE_TYPE = 15 and a MC_CODE =
13, but none of the MC_CODEs = 11, then
subtract 20 from the factor for WASTE_TYPE = '
15, MC_CODE = 13.
If WASTE_TYPE = 16 and a MC_CODE = 13, but none
of the MC_CODEs = 10, then subtract 1 from the
factor for WASTE_TYPE = 15, MC_CODE = 13.
Else, if the WASTE_TYPE = 15 and a MC_CODE =
13, but none of the MC_CODEs =11, then
subtract 2 from the factor for WASTE_TYPE = 15,
MC_CODE =13.
If WASTE_TYPE = {15 or 16} and a MC_CODE = {10
and 13}, the factor for MC_CODE = 13 should be
multiplied by 0.3. Else, if WASTE_TYPE = {15
or 16} and a MC_CODE = {11 and 13}, the factor
for MC_CODE = 13 should be multiplied by 2.
Compare WASTE_TYPE against the SARA codes in
TABLE17 (file name indicated by TABLE17 in
SYSSET). A match indicates a row position in
TABLE17.
Sum the factors in TABLE17 indicated by the
remaining MC_CODEs in the temporary file (use
as column indices in TABLE17). Divide each
factor by the factor sum and store the result
with each MC_CODE in the temporary file (as
FACTOR) .
29
-------
If there are more than one MC_CODE for the
record in the temporary file, append a
duplicate record to the temporary file for each
unique MC_CODE. Assign the value of MC_CODE to
MGMT_CAT.
Multiply VOLUME by FACTOR.
Repeat the procedure for each record in the
temporary file.
Delete the original waste type record in the
interim file, SARA, and append the records in
the temporary file to SARA. Delete the
temporary file.
Repeat for next waste type.
Go back to 4.3.4 to process next waste stream.
4.3.6 OUTPUT: generate output tables
Table 1:
Use the SARA file. Set scope to all records
where GEN_LOC = "in-state".
Sum VOLUME for each WASTE_TYPE by GEN_FREQ.
Report total VOLUME for each WASTE_TYPE.
Report total ERROR_V, total ERRORJMT, and total
ERROR_FREQs.
Label Table 1 with TITLE_TC1, TITLE_T17, and
TITLE CAP.
Table 2:
Use SARA data file.
Sort dataset by MGMT_FACID and MGMT_CAT.
30
-------
Total VOLUME by MGMT_FACID and MGMT_CAT for
GEN_LOC = "out-of-state".
Report totals by MGMT_STATE, FACILITY_ID, and
MGMT_CAT.
Total VOLUME by MGMT_CAT for GEN_LOC = "out-of-
state".
Report total ERROR_V and total ERROR_WC.
Label Table 2 with TITLE_TC1, TITLE_T17, and
TITLE CAP.
Table 3:
Use SARA data file.
Sort dataset by FACILITY_ID and MGMT_CAT.
Total VOLUME by FACILITi^Ifl and MGMT_CAT for
GEN_LOC = "out-of-state".
Report totals by MGMT_STATE, FACILITY_ID, and
Report total ERROR_V and total ERROR_MC.
Label Table 3 with TITLE_TC1, TITLE_T17 , and
TITLECAP.
Table 4:
Use SARA data file.
Total VOLUME by WASTE_TYPE and MGMT_CAT for
MGMT_LOC = "in-state" to get WASTE_TYPE /
MGMT_CAT matrix.
Sum Total VOLUMES for each MGMT_CAT column
(above) to get Total/MGMT_CAT row. Store
management category totals temporarily (for
Table 5) .
31
-------
Report total ERROR_V, total ERROR_WT, total
ERROR_MC, total ERROR_FREQs, and total
ERROR_COMM_STAT.
Label Table 4 with TITLE_TC1, TITLE_T17, and
TITLE CAP.
Table 4a:
Use SARA data file. If COMM_STAT = "captive"
Total VOLUME by WASTE_TYPE and MGMT_CATs 1
through 15 (leave out exempt, non-TSDR) for
MGMT_LOC = "in-state" to get WASTE_TYPE /
MGMTJCAT matrix.
Sum Total VOLUMES for each MGMT_CAT column
(above) to get Total/MGMT_CAr row. Store
management category totals temporarily (for
Table 5a).
Report total ERROR_V, total ERROR_WT, total
ERROR_MC, total ERROR_FREQs, and total
ER ROR_ COMM_ STAT.
Label Table 4a with TITLE_TC1, TITLE_T17, and
TITLE_CAP.
Table 4b:
Use SARA data file. If COMM_STAT =
"commercial":
Total VOLUME by WASTE_TYPE and MGMT_CATs I
through 15 (leave out exempt, non-TSDR) for
MGMT_LOC = "in-state" to get WASTE_TYPE /
MGMT_CAT matrix.
Sum Total VOLUMES for each MGMT_CAT column
(above) to get Total/AfGAfr_C/ir row. Store
management category totals temporarily (for
Table 5b).
32
-------
Report total ERROR_V, total ERROR_WT, total
ERROR_MC, total ERROR_FREQs, and total
ERROR_COMM_STAT.
Label Table 4b with TITLE_TC1, TITLE_T17, and
TITLE CAP.
Table 4c:
Use SARA data file. If COMM_STAT = "on-site"
Total VOLUME by WASTE_TYPE and MGMT_CATs I
through 15 (leave out exempt, non-TSDR) for
MGMT_LOC = "in-state" to get WASTE_TYPE /
MGMT_CAT matrix.
Sum Total VOLUMES for each MGMT_CAT column
(above) to get Total/MGMT_CAT row. Store
management category totals temporarily (for
Table 5c).
Report total ERROR_V, total ERRORJffT, total
ERROR_MCr total ERROR_FREQs, and total
ERROR_COMM_ STAT.
Label Table 4c with TITLE_TC1, TITLE_T17, and
TITLE CAP.
Table 5:
Use CAPFILE. Sum MAX87 by SARACAT to get the
Maximum Capacity column. Sum NONHAZ86 by
SARACAT to get the Nonhazardous demand column.
Get Total row from Table 4 (above) for Federal
Hazardous demand column.
Get the Other Hazardous demand column values
from the OTHER file (OTHER_ALL_01 ...
OTHER ALL 15).
33
-------
Add Federal Hazardous demand, Other Hazardous
demand, and Nonhazardous demand (by MGMT_CAT)
to get the Total demand value.
Subtract Total demand from Maximum Capacity (by
MGMT_CAT) to get Remaining Capacity.
Label Table 5 with TITLE_TC1, TITLE_T17, and
TITLE_CAP.
Report total ERROR_V and total ERROR_WT.
Table 5a:
Use CAPFILE. For COMMFLAG = "captive":
Sum MAX87 by SARACAT to get the Maximum
Capacity column. Sum NONHAZ86 by SARACAT to
get the Nonhazardous demand column.
Get Total row from Table 4a (above) for Federal
Hazardous demand column.
Get the Other Hazardous demand column values
from the OTHER file (OTHER_CS1_01 ...
OTHER_CS1_15) .
Add Federal Hazardous demand, Other Hazardous
demand, and Nonhazardous demand (by MGMT_CAT)
to get the Total demand value.
Subtract Total demand from Maximum Capacity (by
MGMT__CAT) to get Remaining Capacity.
Label Table 5a with TITLE_TC1, TITLE_T17, and
TITLE_CAP.
Report total ERROR V and total ERROR WT.
34
-------
Table 5b:
Use CAPFILE. For COMMFLAG = "commercial":
Sum MAX87 by SARACAT to get the Maximum
Capacity column. Sum NONHAZ86 by SARACAT to
get the Nonhazardous demand column.
Get Total row from Table 4b (above) for Federal
Hazardous demand column.
Get the Other Hazardous demand column values
from the OTHER file (OTHER_CS2_01 ...
OTHER_CS2_15) .
Add Federal Hazardous demand, Other Hazardous
demand, and Nonhazardous demand (by MGMT_CAT)
to get the Total demand value.
Subtract Total demand from Maximum Capacity (by
MGMT_CAT) to get Remaining Capacity.
Label Table 5b with TITLE_TC1, TITLE_T17, and
TITLE_CAP.
Report total ERROR_V and total ERROR_WT.
Table 5c:
Use CAPFILE. For COMMFLAG = "on-site":
Sum MAX87 by SARACAT to get the Maximum
Capacity column. Sum NONHAZ86 by SARACAT to
get the Nonhazardous demand column.
Get Total row from Table 4c (above) for Federal
Hazardous demand column.
Get the Other Hazardous demand column values
from the OTHER file (OTHER_CS3_01 ...
OTHER CS3 15) .
35
-------
Add Federal Hazardous demand, Other Hazardous
demand, and Nonhazardous demand (by MGMT_CAT)
to get the Total demand value. ~
Subtract Total demand from Maximum Capacity (by
MGMTJCAT) to get Remaining Capacity.
Label Table 5c with TITLE_TC1, TITLE_T17f and
TITLE_CAP.
Report total ERROR_V and total ERROR_WT.
36
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5.0 Data Base Design
This section presents the design of the data base that
supports the SARA-ASW. The data base consists of input
files, output files, and internal files created and used
during operation of the software.
5.1 Entity-Relationship Diagram (ERD)
The first step in a data base design is development of an
understanding of the key entities that comprise the system
and the critical relationships among them. In the structured
approach to system design, these are depicted in an Entity-
Relationship Diagram (ERD). Figure 5-1, below, is an ERD for
SARA-ASW and it presents the important entities that comprise
the capacity planning process.
Figure 5-1
Entity-Relationship Diagram
FACILITIES
WASTE
STREAMS
TYPES
FORM
CODES
VA5TC
CODES
MANAGEMENT
CATEGORIES
WASTE
TYPES
To be useful in reporting and analyzing hazardous waste
management capacity, SARA-ASW must respect these
relationships so that the system will reliably store and
report data.
-------
The boxes in this figure are entities in the process. The
lines that connect the boxes or entities represent the
relationships which exist between the entities. There are
three types of relationships included in Figure 5-1. They
are:
o a one to one relationship represented by a line with
two single arrows, one at either end.
o A one to many relationship represented by a line
with a double-headed arrow, (the end with the arrow
is the many side of the relationship).
o A many to many relationship represented by a line
with two arrows at either end.
In general, the SARA-ASW respects these relationships by
maintaining data pertaining to each entity in separate files
and relating these files by use of key fields.
5.2 Input Data
There are two categories of input data. These are:
I Generation Data
This data is contained in the BIRDS Transfer File.
A complete description of which has been prepared
and distributed to the states by the EPA under the
1987 Biennial Report project. The SARA-ASW extract?
some of the data contained in this file and creates
9 DBASE III PLUS files from it. Appendix B is a
data element dictionary for these extracted files.
States that do not use BIRDS for 1987 Biennial
Report data will have to create a file conforming to
the BIRDS transfer file to initialize SARA-ASW.
2 SARA Capacity Data
This data is supplied with the SARA-ASW and contain.-
data extracted from the TSDR survey of 1986. This
file is a DBASE III PLUS data base file. These dat,
describe the capacity of every management stream at
40
-------
every TSDR facility within the state. Additionally,
the file contains the same information on every
"commercial", "captive", and "on-site only" facility
in the US. Appendix C contains the data element
dictionary for this file.
The operating files that SARA-ASW uses are in DBASE III PLUS
format, which renders them easy to manipulate and edit with
the tools provided by DBASE III PLUS.
5.3 Output Files
A DBASE III PLUS format file will be created for each family
of tables that must be printed. According to the Technical
Reference Manual, there are 14 families of tables. In
general, these families consist of a grand total table and
several tables that display subsets of the grand total in the
same format.
5.4 Internal Files
As currently designed, the SARA-ASW develops a single
internal file during processing. Appendix D contains the
data element dictionary for this file. In general, this file
contains a waste quantity data associated with a series of
flags that indicate how it is to tabulated in the tables
mentioned above. Each record in this file will be not
particularly long (approximately 100 characters); however,
there is likely to be a large number of records due to the
frequent occurrence of waste streams consisting of multiple
waste types subjected to multiple treatment processes.
This situation, in particular, will be carefully reexamined
during the later stages of the development phase of the SARA-
ASW development as it strongly influences system performance.
5.5 File Management
The SARA-ASW will maintain an original set of input files and
the most recent set of data files. It will provide a naming
convention to enable the operator to distinguish among the
various sets of output tables, which will have the same
41
-------
appearance and differ only in the meaning of the data that
is displayed.
5.5.1 File Backup
The SARA-ASW design does not feature an automatic backup
feature. Regular backups of critical files must be made by
the operator using a backup facility such as BACKUP and
RESTORE in DOS or an number of commercially available
alternatives.
-------
6.0 USER SUPPORT CONSIDERATIONS
This section discusses certain important considerations of
User Support that will be resolved during the implementation
stage. The amount and nature of user support is also
constrained by the limited life planned for this software.
6.1 Definition of Users
The users of the SARA-ASW software will be planning and
decision-making officials of the states. In general, these
individuals are familiar with the rules and regulations of
the RCRA program, including the definition of hazardous waste
that determines which wastes must be encompassed when
planning for management capacity. The level of PC
familiarity is expected to be mixed. Thus, the SARA-ASW is
designed to be largely menu-driven.
6.2 Required Support
There are two areas where technical support for these users
might be needed: operation of the SARA-ASW software and
intricacies of the analytic methodology embodied in the
Guidance Document.
This section discusses only the first of these, Software
support.
6.3 Required Level of Effort
It is likely that 20 or more of the states will use the SARA-
ASW to support the production of the Capacity Assurance
Plans. By the nature of its design, this software will not
require much user interaction. It is likely that user
questions will fall generally into the area of installation
and incompatibilities related to the users technical
environment. Questions of this sort can be handled by the
support available from the regional offices (ROs). It is
recommended that the ROs be given access to the software
designers and developers for support on occasional technical
questions. Currently, there is no budget for provision of
this technical support.
6.4 Related Support Efforts
-------
EPA has given grants to the National Governors Association to
provide advice to the HQ staff in developing and conducting
the SARA Capacity project. This grant includes some limited
support to the states.
44
-------
7.0 Summary of Workplan and Next Steps
The section discusses the proposed phasing for the SARA-ASW.
It also presents the current project schedule.
7.1 Project Phasing
The SARA-ASW will be distributed to all states accompanied by
the appropriate SARA Capacity Data File in February, 1989.
This will allow states to make use of the software to
facilitate preparation of the Capacity Assurance Plan (CAP)
due October 17, 1989.
The SARA-ASW is a prototype system intended to clarify and
solidify the requirements for the system to be prepared for
in the 1989 CAPs. Therefore, it is not planned that the
SARA-ASW be maintained or enhanced to support the preparation
of the 1989 CAP.
7.2 Summary of The SARA-ASW Work Plan
The remaining tasks in the SARA-ASW workplan, from the SARA
Capacity Assurance Project Plan, August 19, 1988, are
scheduled as presented below. Asterisks denote phases in the
SARA-ASW System life cycle. Funds for all tasks are fully
committed.
*
*
Item
Submit ICDD Paper to SC
Final methodologies
Develop system specs
Develop system test plan
Develop test data base
Walkthroughs
Prepare Design D P
Submit development DP to SC
Code, Debug, and unit test
Full system test
Revisions
Walkthrough 2
Finalize software & document
Prepare implementation DP
SARA capacity data release
Release software
Due Date
October 7
February
February
February
February
Oct. '88
February
February
March 23,
March 30,
April 6,
April 7,
April 14,
April 6,
Nov. '88
April 14,
, 1988
6, 1989
7, 1989
17, 1989
17, 1989
- Feb. '
6, 1989
16, 1989
1989
1989
1989
1989
1989
1989
- Feb .
1989
80
-------
8.0 Summary of Decisions Needed
During its review of this decision paper, the OSWER IM
Steering Committee is requested to confirm the funding level
specified in the "SARA Capacity Assessment Project Plan," and
to approve the undertaking of the next step of the life cycle
Development phase for SARA-ASW.
-------
APPENDIX A:
REPORT FORMS AND LOOK-UP TABLES
-------
5523s
Table 1 Stannary of In-State Generation by Waste Type in Baseyear (1987)
(Tons/Year)
Recurrent
"«*» type generation
One-time
generation
Total
generation
1. Contaminated soil
2. Halogenated solvents
3. Nonhalogenated solvents
4. Halogenated organic liquids
5. Nonhalogenated organic liquids
6. Organic liquids, unspecified
7. Nixed organic/inorganic liquids
8. Inorganic liquids with organics
9. Inorganic liquids with metals
10. Inorganic liquids. NEC
11. Halogenated organic sludges/solids
12. Nonhalogenated organic sludges/solids
13. Organic sludges/solids, unspecified
14. Nixed organic/inorganic sludges/solids
IS. Inorganic sludges/solids with metals
16. Inorganic sludges/solids. NEC
17 Other wastes. NEC
TOTAL
NEC - Not elsewhere classified.
15
-------
Table 2. Summary of Waste Quantities Exported in Baseyear (1907)
by SARA Management Category and Importing State (tons/year)
SARA MANAGEMENT CATEGORIES
Importing State
Total
I
-------
Table 3. Summary of Waste Quantities Imported in Baseyear (1987)
by SARA Management Category and Exporting State (tons/year)
SARA MANAGEMENT CATEGORIES
Exporting State
Total
I
i
^v
I
-------
Table 4. Daseyear (1907) Waste Managed In-State by Waste Type
and SARA Management Categories for All Facilities
SARA MANAGEMENT CATEGORIES
WASTE TYPES
Contaminated soil
Haloqenaled solvents
Nonhaloqenated solvents
Haloqenaled organic liquids
Nonhaloqenated orqanic liquids
Organic liquids. NEC
Mixed organic/inorganic liquids
Inorganic liquids with organics
Inorqamc liquids with metals
Inorqomc liquids. NEC
Halogenaled orqanic sludges/solids
Nonhaloaenated oraanic sludaes /solids
Organic sludges/solids. NEC
Mued orqanic/morqanic sludqes/solids
Inorganic sludges/solids with metals
Inorganic sludges/solids. NEC
Other wastes. NEC
TOTAL
Exempt Treatment at non-TSDs
I
|
1
:
<
j
1
|
|
1
!
i
i
:
i
1
S
I
1
!
:
I
i
I
j
i
i
i
i
i
i
1
1
I
Other dsposal
-------
Table 4A. Baseyear (1987) Waste Managed In-State by Waste Type
and SARA Management Categories at Captive Facilities
SARA MANAGEMENT CATEGORIES
WASTE TYPES
Contaminated soil
Halogenoted solvents
Nonhalogenated solvents
Halogenated organic liquids
Nonhaloqenated organic liquids
Organic liquids. NEC
Mixed organic/inorganic liquids
Inorganic liquids with organics
Inorganic liquids with metals
Inorqamc liquids. NEC
Halogenated organic sludges/solids
Nonhalogenated organic sludqes/sohds
Organic sludges/solids. NEC
Mixed organic /inorganic sludges/solids
Inorganic sludges/solids with metals
Inorganic sludges/solids. NEC
Other wastes. NEC
TOTAL
I
|
1
!
i
i
1
!
|
1
!
i
j
j
!
S
S
i
i
-------
Table 4B. Baseyar (1987) In-State Waste Managed by Waste Type
and SARA Management Categories at Commercial Facilities
SARA MANAGEMENT CATEGORIES
WASTE TYPES
Contaminated soil
Haloqenated solvents
Nonhaloqenated solvents
Haloqenoled organic liquids
Nonhaloqenated organic liquids
Organic liquids. NEC
Mixed organic/inorganic liquids
Inorganic liquids with organics
Inorqonic liquids with metals
Inorganic liquids. NEC
Haloqenaled organic sludges/solids
Monhaloaenated oraanic sludaes/solids
Organic sludges/solids. NEC
Mixed orqanic/morqanic sludges/solids
Inorqonic sludges/solids with metals
Inorganic sludges/solids. NEC
Other wastes. NEC
TOTAL
,
<
*
i
1
1
1
i
!
i
i
!
j
Aqueous organic treatment
I
i
i
i
i
!
5
j
i
-------
Table 4C. Baseyear (1907) Waste Managed In-State by Waste Type
and SARA Management Categories at Onsite Facilities
SARA MANAGEMENT CATEGORIES
WASTE TYPES
Contaminated soil
Haloqenated solvents
Nonhaloqenated solvents
Holoqenaled organic liquids
Nonhologenoted organic liQuids
Organic liquids. NEC
Mixed organic /inorganic liquids
Inorganic liquids with orgonics
Inorganic liquids with metals
Inorganic liquids. NEC
Haloqenated organic sludges/solids
Nonhaloqenated organic sludges/solids
Organic sludges/solids. NEC
Mixed organic /inorganic sludqes/solids
Inorganic sludqes/solids with metals
Inorganic sludqes/solids. NEC
Other wastes. NEC
TOTAL
,
|
i
I
i
!
1
j
i
«
!
i
1
1
>
,
!
1
,
i
1
?
j
i
-------
S523s
Table 5 Comparison of Maximum Hazardous Waste Management Capacity with
Utilized Capacity for All ISO's
(Tans/Year)
SARA management
Baseyear
1987 Baseyear 1987 Management Demand
maximum Federal Other (ton- Remaining
capacity hazardous hazardous hazardous Total capacity
Metals recovery
Solvents recovery
Other recovery
Incineration-liquids
Incineratlon-soIids/slodges
Energy recovery
Aqueous inorganic treatment
Aqueous organic treatment
Other treatment
Sludge treatment
Stabilization
Land treatment
Landfill
OeepMell injection
Other disposal
22
-------
5523s
Table 5A Comparison of Maximum Hazardous Waste Management Capacity with
Utilized Capacity for Captive Facilities
(Tons/Year)
SAJU management
category
Baseyear
maxima Federal Other Non- Renaming
capacity hazardous hazardous hazardous Total capacity
Metals recovery
Solvents recovery
Other recovery
Incineration-liquids
Inc iperat im-so I ids/s ludges
Energy recovery
Aqueous inorganic treatment
Aqueous organic treatment
Other treatment
Sludge treatment
Stabilization
Land treatment
Landfill
OeeoMell injection
Other disposal
23
-------
S523s
Table SB Comparison of Maximum Ha/ardous Waste Management Capacity with
Utilized Capacity for Coonercial Facilities
(Tons/Year)
SARA management
category
Baseyear
1987
maximum
capacity
Basevear 1987 Manaoenen't Demand
Federa 1 other Non-
hazardous hazardous hazardous Total
Remaining
capacity
Metals recovery
Solvents recovery
Other recovery
Incineration-liquids
Incineration-sol ids/sludges
Energy recovery
Aqueous inorganic treatment
Aqueous organic treatment
Other treatment
Sludge treatment
Stabilization
Land treatment
Landfill
OeepMell injection
Other disposal
24
-------
5523s
Table 5C Comparison of Maximum Hazardous Waste Management Capacity with
Utilized Capacity for Onsite Facilities
(Tons/Year)
SAM management
category
Baseyear
198' Basevear 1987 Manaaanent Demand
maxim Federal Other ton- Regaining
capacity hazardous hazardous hazardous Total capacity
Metals recovery
Solvents recovery
Other recovery
Incineration-liquids
Incineration-solids/sJudges
Energy recovery
Aqueous inorganic treatment
Aqueous organic treatment
Other treatment
Sludge treatment
Stabilization
Land treatment
Landfill
Oeepwll injection
Other disposal
25
-------
Table 6 SARA Waste Types
Code SARA Waste Types
1 Contaminated sand, soil, and clay (not to include
spent filter media)
2 Halogenated solvents
3 Nonhalogenated solvents
4 Halogenated organic liquids
5 Nonhalogenated organic liquids
6 Organic liquids, NEC
7 Mixed organic/inorganic liquids
8 Inorganic liquids with organics
9 Inorganic liquids with metals
10 Inorganic liquids, NEC
11 Halogenated organic sludges/solids
12 Nonhalogenated organic sludges/solids
13 Organic sludges/solids, NEC
14 Mixed organic/inorganic sludges/solids
15 Inorganic sludges/solids with metals
16 Inorganic sludges/solids, NEC
17 Other wastes (includes explosives, other highly
reactives, radioactive/hazardous mixed, gases, lab
packs, and PCB/hazardous mixed)
NEC - Not elsewhere classified.
27
-------
Table 7 SARA Management Categories
Code Management category
1 Metals recovery
2 Solvents recovery
3 Other recovery
4 Incineration - liquids
5 Incineration - sludges/solids
6 Energy recovery - kilns, boilers, furnaces
7 Aqueous inorganic treatment
8 Aqueous organic treatment
9 Other treatment (e.g., pretreatment
including settling and neutralization)
10 Sludge treatment
11 Stabilization
12 Land treatment
13 Landfill
14 Deepwell (underground) injection
15 Other disposal
33
-------
Table 8 Conversion Factors for Converting Biennial
Report Units of Measure to Short Tons
Code
P
T
K
M
G
L
Unit of measure
Pound
Short ton (2,000 Ib)
Kilogram
Metric tonne (1,000 Kg)
Gallon
Liter
Conversion
factora
0.00050
1
0.001102
1.102311
0.004167
0.001102
a Multiply conversion factor by unit of measure to convert to
short tons.
47
-------
S463s
Table 10 SARA Waste Type Constituent Parameters
SARA
naste type
1
2
Applicable EPA
waste codes
All
F001.F002.U037.U070.U080.
Suspended
Biennial Report solid
Haste form codes content
N91
All waste form codes <«
Organic
halogen Organic Metals
content content content3
_
>n iv i90X
<0.1X
>90X
>90X
il. <90X
ppn
1 PPB
II ppm
50
-------
5463s
tl
12
13
14
15
16
17
Table 10 (continued)
SARA
naste type
Applicable EPA
naste codes
Biennial Report
Mste form codes
Suspended Organic
solid halogen
content content
Organ ic
content
Metals
content*
All but K044-K047
All but K044-K047
All but K044-K047
All but K044-K047
All but K044-K047
All but K044-K047
All
K044-K047
For dioxm and radioactive
nixed naste. see facility
nts
All waste fono codes ,>5X
but those listed
under 1 and 17
All naste form codes _>5X
but those listed
under 1 and 17
All waste form codes _>5X
but those listed
under 1 and 17
A11 Haste form codes ,>5X
but those listed
under 1 and 17
All Haste form codes ±5X
but those listed
under 1 and 17
All Mste form codes ,>SX
but those listed
under 1 and 17
H7l.h72.N71.ll/2.ll9S.
G10.G50
AM Haste form codes
>0.1X
>90X
>90X
il <90X
1 pp.
^10 ppm
a Total content of CP toxic metals.
51
-------
Table 12 Biennial Report Process Codes That Are
Not to Be Translated Into SARA
Management Categories
Biennial Report
process code Description
301 Container (barrel, drum, etc.)
S02 Tank
S03 waste pile
304 Surface impoundment
S99 Other storage
i
011 Discharge to sewer/POTW—prior management
in RCRA units
012 Discharge to sewer/POTW—prior management
in RCRA-exempt units
013 Discharge to sewer/POTW—prior management
in both RCRA and RCRA-exempt units
021 Discharge to surface water under NPDES—
prior management in RCRA units
022 Discharge to surface water under NPDES—
prior management in RCRA-exempt units
023 Discharge to surface water under NPDES—
prior management in both RCRA and
RCRA-exempt units
55
-------
S4S9s
Table 13 Biennial Keport Process Codes that Must Appear Alone, with
Disposal Codes3, or With Other Codes on This Table Before
They Nay Be Translated Into SARA Management Categories
Systen type
( treatment/recovery )
Neutralization
Phase separation
Sett 1 ing/clar if icat ion
Filtration
Equalization
Other blending
Other Msternter treatment
Other treatment
Sludge debater ing
Other treatment
Waste font code(s)
All codes apply
All codes apply
All codes apply
All codes apply
A 1 1 codes app ly
All codes apply
AM codes apply
H10. H20. H30. H40. H48.
H49. H51. H52. H61. H62.
H71. H72. H81. HK. H83.
H99
All codes apply
NZ1. N49. NSO. N60.
N71. N72. H81. M83.
MM. N8S. H89
Biennial Report
process code(s)
Cll
PU. PIS. PI6.
P17. P18. P19
PU
P12
P01
P09
C99
P99. Q99
P13. F83
099
SARA
management
category
code(s)
(9)
(9)
(9)
(9)
(9)
(9)
(9)
(9)
(10)
(10)
Land disposal Biennial Report codes:
Landfill 002. DOS
Land treatment 003
Oeepwll injection 001
Other disposal 004. 099
57
-------
5459s
Table 14 Translation From Biennial Report Onsite T/S/O/R Process
Codes to SARA Management Categories
Systea type
(treatment/recovery/disposa 1)
Haste fora code(s)
Biennial Report
process code(s)
SARA
management
category
code(s)
INCINERATION
Incineration-liquids
Incineratlon-sludges/soI ids
Incineration - gases
H51. H52. H61. H62. H71.
H7Z. H81. H82. l«3. H99
N21. N22. N30. N41. N4Z.
N43. N44. N45. N48. 1149.
N50. N60. N/l. N/2. N81. N83.
N84. N85. N89. N91. N99
CIO. G50
F01. Fll. F19. F31. (4)
F41. F42. F51. F61.
FBI. F99
F19. Fll. F19. F31. (5)
F41. F42. F51. F61.
FBI. F99
FI9. Fll. F31. (9)
F41. F42. F51.
F71. FBI. F99
ENERGY RECOVERY
Energy recovery
All codes apply
R01. R02. R03. R09
(6)
SOLVENT RECOVERY
Fractlonatlon/disti1lation
Solvent extraction
Thin film evaporation
Other solvent recovery
All codes apply
All codes apply
All codes apply
All codes apply
R11.R13
R14
R12
R19
(2)
(2)
(2)
(2)
METALS RECOVERY
High temperature metals recovery All codes
Retorting All codes
Secondary smelting All codes
Electrolytic metal recovery All codes
Solvent extraction All codes
Ion exchange All codes
Reverse osmosis All ""^s
Other metals recovery All codes
apply
apply
apply
apply
apply
apply
apply
apply
R29
R29
R25
R21
R26
R22
R24
R23. R29
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
OTHFR RFCOVFRY
Other recovery
All codes apply
R99
(3)
58
-------
S459s
Fable 14 (continued)
System type
( treatment/recovery/disposa 1 )
STABILIZATION
Cenent/pozzolanic stabilization
Asphalt ic stabilization
Therm-plastic stabilization
Other stabilization
UASTEWATER TREATMENT
Cyanide oxidation
Chraaiia reduction
General oxidation
General oxidation
Neta Is/organ ic treatoent
Chemical precipitation
Stean stripping
Air stripping
Uet air oxidation
Wet air oxidation
Biological treatoent
Carbon adsorption
Ion exchange
Resin adsorption
Reverse osmosis/electrodia lysis
Other adsorption
DISPOSAL
Landfill
Land treatment
DeepMell injection
Other disposal
Waste form code(s)
All codes apply
All codes apply
All codes apply
All codes apply
All codes apply
All codes apply
HIO. H70. H30. H40.
Ml. M22. N30. N41.
H*twt liG^i Iv43f N4Of
H48. H51. H52. H61.
H71. H72. H81. H82.
H99. MSO. N60. N71.
Ml. N83. N84. N8S.
All codes apply
All codes apply
All codes apply
All codes apply
HIO. H20. H30. H40.
N21. M2. N30. M41.
N43. N44. N45. N48.
H48, H5I. H52. H61.
H71. H72. H81. H82.
H99. N50. N60. N71.
N81. N83. N84. N85.
All codes apply
All codes apply
All codes apply
All codes apply
All codes apply
All codes apply
All codes apply
All codes apply
All codes apply
All codes apply
H49.
N42.
N49
H62.
H83.
N72.
N88. N89
H49.
N42.
N49
H62.
H83.
N72.
N88. N89
Biennial Report
process code(s)
G01. GOT
Gil
G21
G99
C41. C42. C43
C21
C44. C45. C46
C44. C4S. C46
C01.C02.C09. in
combination with
B21.B31.B99
C01.C02.C09.C31
P42
P41
F82
F82
BI1.B21.B31.B99
P21
P22
P23
P31
P29
005. DOS
003
001
004. 099
SARA
management
category
code(s)
(11)
(11)
(H)
(11)
(7)
(7)
(7)
(8)
(7) & (8)
(7)
(8)
(8)
(7)
(8)
(8)
(8)
(7)
(8)
(8)
(7)
(13)
(12)
(14)
(IS)
59
-------
5219s
Table IS Translation From Biennial Report Offsite T/S/O/R Process Codes
to SARA Management Categories
Offsite T/S/O/R code
taste form code(s)
SARA
management
category
code(s)
M20 Reuse as fuel/fuel blending
M31 Organics recovery
- solvent recovery
- organics recovery
M32 Metals recovery
N39 Other recovery
N40 Solidification/stabilization
N50 Incineration/thermal treatment
- incineration (liquids)
- incineration (sludges/solids)
- incineration (gases)
N61 UasteiMter treatment
(excluding POTU)
- organic
- inorganic
- other
M69 Other treatment
- sludges
- other
M71 Underground injection
M/2 Landfill/disposal surface
impoundnent
M73 Land treatment
All codes apply
All codes apply
H51. H52. H61. H62. NSO. N60
H71. H72. HB1. H82. H83. H99. N71.
N72. N81. N83. NB4. N85. N88. N89
All codes apply
All codes apply
All codes apply
All codes apply
H51. H52. H61. H6Z. H71.
H72. H81. H82. H83. H99
N21. N22. M30. N41. N42. N43.
N44. IMS. N48. N49. NSO. N60.
N71. N72. N81. N83. N84. N85.
N89. N9I. N99
G10. G50
H10. H40. H48a
HIO. H20. H30. 1140. H48d
H20. H30. H49d
N21. N22. N30. N41. N42. N43.
N44. M4S. N48. N49. NSO. N60.
N71. N72. N81. NB3. N84. N8S.
N8B. NB9. N91. N99
All renaming codes apply
All codes apply
All codes apply
All codes apply
1
3
11
4
5
8
7
9
10
9
14
U
12
61
-------
5219s
Table 15 (continued)
Offsite T/S/O/R code
N79 Other land disposal
M81 Discharge to POTW without
k
Haste fora code(s)
All codes apply
All codes apply
SARA
nanagenent
category
code(s)
15
15
prior RCRA managenentb
N82 Discharge to POTH with prior
RCRA nanagenent
- organic
- inorganic
- other
H90 Other offsite nanaganent
H10. H40. H48d
H10. H20. H30, H40. H48*
H20. H30. H49a
All
apply
8
7
9
9 or 15
Waste fora codes must be used in conjunction with EPA waste codes to identify the chenical fora of
the waste being treated.
Assiaing this process code means direct discharge without treatnent.
62
-------
Table 17 National Profile for ftCRA Hazardous Haste Management In 1987
70
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-------
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-------
APPENDIX B:
GENERATION DATA INPUT FILE DATA ELEMENT DICTIONARY
-------
APPENDIX B
DATA ELEMENT DICTIONARY
BIRDS TRANSFER FILE FORMAT INPUT FILE
(DBASE III PLUS)
DED
DATA ELEMENT LABEL
FILE NAME: WGMO
WG RECORD ACCOUNTING - IDENTIFICATION NUMBER (KEY)
WG RECORD ACCOUNTING - PAGE NUMBER (KEY)
WASTE DESCRIPTION - SOURCE CODE
WASTE DESCRIPTION - GENERATED WASTE FORM CODE
WASTE DESCRIPTION - PERCENT ORGANICS (HIGH)
WASTE DESCRIPTION - PERCENT ORGANICS (LOW)
WASTE DESCRIPTION - SUSPENDED SOLIDS (HIGH)
WASTE DESCRIPTION - SUSPENDED SOLIDS (LOW)
WASTE DESCRIPTION - PERCENT HALOGEN (HIGH)
WASTE DESCRIPTION - PERCENT HALOGEN (LOW)
QUANTIFICATION/TRACKING - QUANTITY GENERATED (CURRENT YEAR)
QUANTIFICATION/TRACKING - WG UNIT OF MEASURE
FILE NAME: WGS2
WG RECORD ACCOUNTING - IDENTIFICATION NUMBER (KEY)
HG RECORD ACCOUNTING - PAGE NUMBER (KEY)
WASTE DESCRIPTION - EPA HAZARDOUS WASTE CODE
FILE NAME: WGS5
WG RECORD ACCOUNTING - IDENTIFICATION NUMBER (KEY)
HG RECORD ACCOUNTING - PAGE NUMBER (KEY)
WASTE DESCRIPTION - PERCENT METAL (HIGH)
WASTE DESCRIPTION - PERCENT METAL (LOW)
FILE NAME: WGS6
WG RECORD ACCOUNTING - IDENTIFICATION NUMBER (KEY)
WG RECORD ACCOUNTING - PAGE NUMBER (KEY)
QUANTIFICATION/TRACKING - ON-SITE TSDR CODE
FILE NAME: WGS8
WG RECORD ACCOUNTING - IDENTIFICATION NUMBER (KEY)
WG RECORD ACCOUNTING - PAGE NUMBER (KEY)
QUANTIFICATION/TRACKING - SECTION IV SEQUENCE NUMBER
QUANTIFICATION/TRACKING - EPA ID TO WHICH WASTE WAS SHIPPED
QUANTIFICATION/TRACKING - QUANTITY SHIPPED OFF SITE
FILE NAME: WGS9
WG RECORD ACCOUNTING - IDENTIFICATION NUMBER (KEY)
WG RECORD ACCOUNTING - PAGE NUMBER (KEY)
QUANTIFICATION/TRACKING - SECTION IV SEQUENCE NUMBER (KEY)
QUANTIFICATION/TRACKING - OFF-SITE T/S/D/R CODE
FILE NAME: WRMO
WR RECORD ACCOUNTING - IDENTIFICATION NUMBER (KEY)
WR RECORD ACCOUNTING - PAGE NUMBER (KEY)
QUANTIFICATION/TRACKING - WASTE RECEIVED EPA ID
QUANTIFICATION/TRACKING - QUANTITY RECEIVED FROM OFF-SITE
QUANTIFICATION/TRACKING - WR UNIT OF MEASURE
QUANTIFICATION/TRACKING - WASTE FORM CODE OF WASTE RECEIVED
FILE NAME: WRS2
WR RECORD ACCOUNTING - IDENTIFICATION NUMBER (KEY)
WR RECORD ACCOUNTING - PAGE NUMBER (KEY)
WR RECORD ACCOUNTING - WASTE SEQNO (KEY)
QUANTIFICATION/TRACKING - EPA CODE OF WASTE RECEIVED
FILE NAME: WRS4
WR RECORD ACCOUNTING - IDENTIFICATION NUMBER (KEY)
WR RECORD ACCOUNTING - PAGE NUMBER (KEY)
WR RECORD ACCOUNTING - HASTE SEQNO (KEY)
QUANTIFICATION/TRACKING - ON-SITE TSDR OF WASTE RECEIVED
PAGE DATABASE NAME
58 HG KEY FACID
65 HG PAGE NUM
76 HG~SOURCE
77 HG WF CODE
79 WG WC HORG
80 HG WC LORG
89 WG WC~HSUSPN
90 HG WC LSUSPN
112 HG WC'HHALGN
113 HG WC'LHALGN
118 HG HW QTYCY
119 HG_HW_QTYUOM
58 WG KEY FACID
65 WG PAGE NUM
70 WG_HW_CODE
58 HG KEY FACID
65 HG PAGE NUM
99 HG~HC HMETAL
100 HG_HC~LMETAL
58 HG KEY FACID
65 WG PAGE NUM
127 GM_ON_TSDR
58 WG KEY FACID
65 HG PAGE NUM
128 WG OS SEQNO
129 HG OS EPAID
134 HG_OS_QTYSHP
58 WG KEY FACID
65 WG PAGE NUM
128 WG OS SEQNO
132 WG_OS_TSDR
306 HR KEY FACID
313 WR PAGE
323 WR OS FACID
324 WR QR~FY87
325 WR QR DOM
328 WR_WF_CODE
306 WR KEY FACID
313 HR PAGE
314 HR HAST NO
319 WR_HW_FCCODE
306 WR KEY FACID
313 WR PAGE
314 WR WAST NO
330 WR ON TS
CORE
VALUE
MC
MC
C
C
C
C
C
C
C
C
MC
MC
MC
MC
MC
MC
MC
C
C
MC
MC
MC
MC
MC
MC
MC
MC
MC
MC
MC
C
MC
MC
MC
MC
MC
C
MC
MC
MC
MC
MC
MC
MC
MC
FORMAT
12 CHARACTERS
5 NUMERIC
2 CHARACTERS
3 CHARACTERS
1 CHARACTER
1 CHARACTER
1 CHARACTER
1 CHARACTER
1 CHARACTER
1 CHARACTER
9 NUMERIC
1 CHARACTER
12 CHARACTERS
5 NUMERIC
4 CHARACTERS
12 CHARACTERS
5 NUMERIC
1 CHARACTER
1 CHARACTER
12 CHARACTERS
5 NUMERIC
3 CHARACTERS
12 CHARACTERS
5 NUMERIC
2 NUMERIC
12 CHARACTERS
9 NUMERIC
12 CHARACTERS
5 NUMERIC
2 NUMERIC
3 CHARACTERS
12 CHARACTERS
5 NUMERIC
12 CHARACTERS
9 NUMERIC
1 CHARACTER
3 CHARACTERS
12 CHARACTERS
5 NUMERIC
1 NUMERIC
4 CHARACTERS
12 CHARACTERS
5 NUMERIC
1 NUMERIC
3 CHARACTERS
START-END
005-016
017-021
144-145
146-148
150-150
151-151
160-160
161-161
200-200
201-201
214-222
223-223
005-016
017-021
024-027
005-016
017-021
036-036
037-037
005-016
017-021
022-024
005-016
017-021
022-023
024-035
040-048
005-016
017-021
022-023
024-026
005-016
017-021
145-156
157-165
166-166
173-175
005-016
017-021
022-022
025-028
005-016
017-021
022-022
025-027
-------
APPENDIX C:
SARA CAPACITY DATA FILES DATA ELEMENT DICTIONARY
-------
APPENDIX C
SARA CAPACITY DATA FILES FORMAT
(DBASE III PLUS)
SIZE TYPE VARIABLE
NAME
12
1
1
5
50
1
16
16
16
16
16
16
16
16
20
20
20
20
40
25
2
32
27
Char
Char
Char
Char
Char
Char
Num
Num
Num
Num
Num
Num
Num
Num
Num
Num
Num
Num
Char
Char
Char
Char
Char
FCID
EXEMPT
CBI
SYSTEM
BIENPROC
COMMFLAG
HAZ86
NONHAZ86
MAX 8 6
AVAILS 6
MAX87
MAX88
MAX89
MAX 91
CHANGE87
CHANGES 8
CHANGE 8 9
CHANGE 91
NAME
CITY
STATE
SYSTYPE
SARACAT
DESCRIPTION
Facility ID
RCRA Permit Status
CBI Flag
System Number
Biennial Process Codes
Commercial Flag
1986 Utilized Capacity - Hazardous (tons)
1986 Utilized Capacity - Non-hazardous (tons)
1986 Maximum Capacity (tons)
1986 Available Capacity (tons)
1987 Maximum Capacity (tons)
1988 Maximum Capacity (tons)
1989-1990 Maximum Capacity (tons)
1991-1992 Maximum Capacity (tons)
1987 Change in Capacity (tons)
1988 Change in Capacity (tons)
1989 Change in Capacity (tons)
1991-1992 Change in Capacity (tons)
Facility Name
Mailing Location City
Mailing Location State
System Type
SARA Management Category
-------
APPENDIX D:
SARA INTERNAL DATA FILE DATA ELEMENT DICTIONARY
-------
FILE SPECIFICATION
SARA
FIELD ID
FACILITY ID
PAGE#
MGMT LOC
MGMT STATE
MGMT FACID
MGMT CAT
OPTION MC
FLAG V
DESCRIPTION
ID NUMBER OF GENERATION
FACILITY. RELATED TO WASTE
STREAM RECORD. 12 CHARACTERS,
2 ALPHA AND 10 NUMERIC.
KEY INDEX FIELD RELATED TO
WASTE STREAM RECORD.
FLAG INDICATING LOCATION OF
MANAGEMENT FACILITY. VALID
VALUES ARE:
OUT-OF-STATE (EXPORTS)
IN-STATE.
2-CHARACTER STATE ABBREVIATION
FOR STATE WHERE MANAGEMENT
TOOK PLACE.
ID NUMBER OF FACILITY WHERE
MANAGEMENT TOOK PLACE.
SARA MANAGEMENT CATEGORY.
VALID VALUES ARE NUMERIC AND
RANGE FROM 1—15 AND 16 (FOR
EXEMPT, NON-TSDR FACILITIES).
OPTION FLAG INDICATING
MANAGEMENT CATEGORY
DETERMINATION PROCEDURE.
VALID VALUES ARE:
LOW
HIGH
NULL.
FLAG SET TO INDICATE PRESENCE
OF PROCESS CODES IN RECORD.
VALID VALUES ARE:
ON-SITE
OFF-SITE
BOTH
NULL.
-------
WASTE TYPE
OPTION NT
VOLUME
GEN LOC
GEN STATE
GEN FREQ
COMM STAT
ERROR V
ERROR WT
SARA WASTE TYPE CODE. VALID
VALUES ARE NUMERIC AND RANGE
FROM 1 — 17.
FLAG SET TO INDICATE HOW WASTE
TYPE WAS DETERMINED. VALID
VALUES ARE:
LOW
HIGH
NULL.
QUANTITY OF WASTE ASSOCIATED
WITH EACH RECORD. THIS IS A 9
CHARACTER NUMERIC FIELD.
FLAG THAT INDICATES LOCATION
OF GENERATION FACILITY. VALID
VALUES ARE:
IN-STATE
OUT-OF-STATE (IMPORTS).
TWO CHARACTER ABBREVIATION FOR
STATE WHERE GENERATION TOOK
PLACE.
FLAG THAT INDICATES FREQUENCY
OF GENERATION. VALID VALUES
ARE:
ROUTINE
ONE-TIME.
FLAG THAT INDICATES THE
COMMERICAL STATUS OF A
FACILITY. VALID VALUES ARE:
COMMERICAL
CAPTIVE
ON-SITE.
NON-TSDR (EXEMPT)
ERROR FLAG THAT INDICATES THAT
UNIT-OF-MEASURE WAS NOT FOUND
IN THE GENERATION DATA FILE.
ERROR FLAG THAT INDICATES
WASTE TYPE DETERMINATION COULD
NOT BE MADE. THIS IS DUE TO
NO CHARACTERIZATION DATA, NO
FORM CODE, OR BAD WASTE CODE.
-------
ERROR_FREQ ERROR FLAG THAT INDICATES THAT
THE FREQUENCY DETERMINATION
COULD NOT BE MADE DUE TO LACK
OF VALID WG_SOURCE (SOURCE
CODE) IN GENERATION DATA FILE.
ERROR_COMM_STAT ERROR FLAG WHICH INDICATES
THAT THE COMMERCIAL STATUS OF
A FACILITY COULD NOT BE
DETERMINED. FACILITY ID COULD
NOT BE FOUND IN THE SARA
CAPACITY DATA FILE (CAPFILE).
------- |