September 30, 2015 Abt Associates | List of Rulemaking Benefit Files | Page 1 

### Date September 30, 2015

To Record

From Isabelle Morin, Elena Besedin, and Emmy Giovanni

Subject List of Rulemaking Benefit Analysis Files: Effluent Limitations Guidelines and Standards for the Steam Electric Power Generating Point Source Category

This memorandum describes analytic files used for the analyses described in the Benefit and Costs Analysis (BCA) report to support development of the final ELG rule. The analytic files contain data classified by Industry as Confidential Business Informa tion. The list in Table 1 describes the content of the files to allow review by the public without potentially releasing proprietary information.

Table 1: List of Files Developed for the Benefit and Costs Analysis (BCA)

File Name Description/Purpose Water Quality Modeling [\WQ and Fish Tissue Modeling] \March 2015\Releases.csv RSEI raw model inputs for scenario without CPP (with CCR) \March 2015\Results.csv RSEI raw model outputs for scenario without CPP (with CCR) \April 2015\Releases.csv RSEI raw model in puts for scenario with CPP (with CCR) \April 2015\Results.csv RSEI raw model outputs for scenario with CPP (with CCR) SE_RSEI_QA_Mar15.accdb Compilation of RSEI ou tputs for scenario without CPP (with CCR) SE_RSEI_QA_April15.accdb Compilation of RSEI ou tputs for scenario with CPP (with CCR) \SPARROW2\Results\Round3\T N\ [option] \predict.sas7bdat Provides SPARROW output from the TN model for the scenario with CPP where [option] is the baseline or one of the five regulatory options analyzed \SPARROW2\Results\Round3\TP \ [option] \predict.sas7bdat Provides SPARROW output from the TPmodel for the scenario with CPP where [option] is the baseline or one of the five regulatory options analyzed control_CTN_44a_noadj_predict _2002_BaseScenario.sas SAS code for national SPARROW TN model

control_CTP_22_noadj_predict_2 002_BaseScenario.sas SAS code for national SPARROW TP model

\Data\Scenario_update.sas SAS code used to update the SPARROW model inputs to reflect loading changes \Data\SparrowInputs_Rnd2-3.xlsx Input file providing E2RF1 loading changes for use in SPARROW \Data\CBI_Nutrient Loadings_2014-04-08.xlsx Input file calculating plant-level lo ading changes for use in SPARROW

\Master\* SPARROW model files \GIS\* SPARROW model files \SPARROW Sediment\Results\Round3\ [option ] \predict.sas7bdat Provides SPARROW output from the sediment model for the scenario with CPP where [option] is the baseline or one of the five regulatory options analyzed 

### sparrow_header3_simulate_fin al_update.sas .sas SAS code for national SPARROW sediment model

\Data\data1_scenario_update.sas SAS code used to up date the SPARROW model inputs to reflect loading changes \Data\load_scenarios_Round2-
3.xlsx Input file providing E2RF1 loading changes for use in SPARROW 

# Memorandum
Environment and ResourcesSeptember 30, 2015 Abt Associates | List of Rulemaking Benefit Files | Page 2 File Name Description/Purpose \Data\ data_sediment_revised_new.sas7
bdat SPARROW input file

\Master\* SPARROW model files \GIS\* SPARROW model files Drinking Water Screening Analysis [\Drinking Water Screening] CBI_Results_RSEI_FinalRule_R un3_2015-09-29.accdb Screening-level review of drinking water intakes affected by discharges from steam electric plants Fish Tissue Calculations [\WQ and Fish Tissue Modeling]
WA05- T9_FishTissueImputation_2014-
05-13.xlsx File used to derive relationship between ambient water concentrations and fish tissue concentrations. The relationships are used to impute fish tissue
concentrations based on RSEI results. FishTissueImputationRSEI_2015-
03-10.accdb Imputation of fish tissue data from RSEI concentrations for scenario without
CPP ishTissueImputationRSEI_2015-
04-15.accdb Imputation of fish tissue data from RSEI concentrations for scenario with
CPP
DownstreamFishTissueValCalModel_2015-03-10.accdb Correction to imputed fish tissue data to reflect monitoring values for
scenario w ithout CPP
DownstreamFishTissueValCalModel_2015-04-15.accdb Correction to imputed fish tissue data to reflect monitoring values for
scenario with CPP Health Benefits [\Health] bg_pnts_ALL.csv XY Coordinates for all 2010 Census block groups in the conterminous US.
Used in GIS distance calculations. CENSUS_ALL.csv Contains all the Census Summary File 1 and American Community Survey data used in the analysis by bloc k group. Used in the GIS analysis. NHD_pnts_ALL_wdata.dbf Contains the centroid coordinates for a ll NHD reaches, along with some additional spatial information. Used in the GIS distance calculations. NHD_UNIV_FISH.csv Th e list of NHD reaches that are cons idered “fishable” under the analysis.
Used to subset the full NHD reach universe in the GIS analysis. RSEI_R2_051315.csv The fish tissue concentrations by NHD reach under Round 2. Used to calculate the length-weighted average fo r all reaches within a distance of a block group in the GIS analysis. RSEI_R3_051315.csv The fish tissue concentrations by NHD reach under Round 3. Used to calculate the length-weighted average fo r all reaches within a distance of a block group in the GIS analysis. age_groups.xls Input file that provides the weight, exposure duration, age, and lead exposure assumptions for each cohort in the health analyses CB_data_50_R3.csv For the 50-mile buffer zone “with CPP” scenario, input file that provides the population (broken out by age and racial/ethnic group) and weighted average fish tissue arsenic, lead, an d mercury concentrations (under the baseline and each regulatory scenar io) for each affected Census Block Group. Also provides, for each Census Block Group, persons per household, poverty rate, and weighted average fish consumption advisory adjustment. CB_data_50_R2.csv For the 50-mile buffer zone “without CPP” scenario, input file that provides the population (broken out by age and racial/ethnic group) and weighted average fish tissue arsenic, lead, an d mercury concentrations (under the baseline and each regulatory scenar io) for each affected Census Block Group. Also provides, for each Census Block Group, persons per household, poverty rate, and weighted average fish consumption advisory adjustment. CB_data_100_R3.csv For the 100-mile buffer zone “with CPP” scenario, input file that provides the population (broken out by age and racial/ethnic group) and weighted average fish tissue arsenic, lead, an d mercury concentrations (under the baseline and each regulatory scenar io) for each affected Census Block Group. Also provides, for each Census Block Group, persons per household, poverty rate, and weighted average fish consumption advisory adjustment.September 30, 2015 Abt Associates | List of Rulemaking Benefit Files | Page 3 File Name Description/Purpose CB_data_100_R2.csv For the 100-mile buffer zone “without CPP” scenario, input file that provides the population (broken out by age and racial/ethnic group) and weighted average fish tissue arsenic, lead, and mercury concentrations (under the baseline and each regulatory scenario) for each affected Census Block Group. Also provides, for each Census Block Group, persons per household, poverty rate, and weighted average fish consumption advisory adjustment. ethn_groups.xls Input file that provides, for each ethnic group and fishing mode cohort, the fish consumption rate and fertility rate. growth.xls Input file that provides projected population growth over the analysis period. Pb_run_50_R3.xls For the 50-mile buffer zone “with CPP” scenario, input file that shows the blood lead concentrations based on lead intake assumptions (shows the concentration for each unique intake observation) – generated by IEUBK
model. Pb_run_50_R2.xls for the 50-mile buffer zone “with out CPP” scenario, input file that shows the blood lead concentrations based on lead intake assumptions (shows the concentration for each unique intake observation) – generated by IEUBK
model. Pb_run_100_R3.xls for the 100-mile buffer zone “with CPP” scenario, input file that shows the blood lead concentrations based on lead intake assumptions (shows the concentration for each unique intake observation) – generated by IEUBK
model. Pb_run_100_R2.xls for the 100-mile buffer zone “without CPP” scenario, input file that shows the blood lead concentrations based on lead intake assumptions (shows the concentration for each unique intake observation) – generated by IEUBK
model. perc_fish.xls input file that provides, for each state, the share of the population that fishes. adult_lead_ADD_50.sas SAS code that uses census block group data on weighted average fish tissue concentrations, population, persons per household, socioeconomic characteristics, and fishing habits to cal culate average daily lead intake for exposed adults (using a 50-mile buffer zone). arsenic_50.sas SAS code that uses census block group data on weighted average fish tissue concentrations, population, persons per household, socioeconomic characteristics, and fishing habits to calculate benefits of reduced arsenic exposures (using a 50-mile buffer zone). lead_50.sas SAS code that uses census block group data on IEUBK outputs (child blood lead concentrations), population, persons per household, socioeconomic characteristics, and fishing habits to calculate benefits of reduced lead exposures (using a 50-mile buffer zone). lead_IEUBK_50.sas SAS code that uses census block group data on weighted average fish tissue concentrations, population, persons per household, socioeconomic characteristics, and fishing habits to generate child-specific inputs for the IEUBK model (using a 50-mile buffer zone). mercury_50.sas SAS code that uses census block group data on weighted average fish tissue concentrations, population, persons per household, socioeconomic characteristics, and fishing habits to calculate benefits of reduced mercury exposures (using a 50-mile buffer zone). population_50.sas SAS code that uses census block group data on population, persons per household, socioeconomic characteristics, and fishing habits to calculate exposed populations in health analys es (using a 50-mile buffer zone). adult_lead_ADD_100.sas SAS code that uses census block group data on weighted average fish tissue concentrations, population, persons per household, socioeconomic characteristics, and fishing habits to cal culate average daily lead intake for exposed adults (using a 100-mile buffer zone).September 30, 2015 Abt Associates | List of Rulemaking Benefit Files | Page 4 File Name Description/Purpose arsenic_100.sas SAS code that uses census block group data on weighted average fish tissue concentrations, population, persons per household, socioeconomic characteristics, and fishing habits to calculate benefits of reduced arsenic exposures (using a 100-mile buffer zone). lead_100.sas SAS code that uses census block group data on IEUBK outputs (child blood lead concentrations), population, persons per household, socioeconomic characteristics, and fishing habits to calculate benefits of reduced lead exposures (using a 100-mile buffer zone). lead_IEUBK_100.sas SAS code that uses census bl ock group data on weighted average fish tissue concentrations, population, persons per household, socioeconomic characteristics, and fishing habits to generate child-specific inputs for the IEUBK model (using a 100-mile buffer zone). mercury_100.sas SAS code that uses census block group data on weighted average fish tissue concentrations, population, persons per household, socioeconomic characteristics, and fishing habits to calculate benefits of reduced mercury exposures (using a 100-mile buffer zone). population_100.sas SAS code that uses census block group data on population, persons per household, socioeconomic characteristics, and fishing habits to calculate exposed populations in health analyses (using a 100-mile buffer zone).
arsenic.xls 1 SAS output file summarizing the expo sed population, annual benefits, and total benefits from the arsenic analysis. lead_IQ.xls 1 SAS output file summarizing the expo sed population, annual benefits, and total benefits from the lead IQ analysis. lead_IQ_log.xls 1 SAS output file summarizing the expo sed population, annual benefits, and total benefits from the lead IQ sensitivity analysis. lead_spec.xls 1 SAS output file summarizing the expo sed population, annual benefits, and total benefits from the avoided compensatory education cost analysis. mercury.xls 1 SAS output file summarizing the expo sed population, annual benefits, and total benefits from the mercury IQ analysis. Steam Electric Input Sheet – 50
mi no CPP.xlsx Input file for adult lead analysis for the scenario with a 50-mile buffer zone “without CPP” scenario, input file that provides starting and ending year of analyses, exposures by COMID, coho rt and compliance year, population distributions and body mass by decade and sex, populations by analytical scenario, life tables from the census bu reau, Value of Statistical Life and inflation, and probabilities of survival through age. Steam Electric Input Sheet – 50
mi with CPP.xlsx Input file for adult lead analysis for the scenario with a 50-mile buffer zone “with CPP” scenario, input file that provides starting and ending year of analyses, exposures by COMID, coho rt and compliance year, population distributions and body mass by decade and sex, populations by analytical scenario, life tables from the census bu reau, Value of Statistical Life and inflation, and probabilities of survival through age. Steam Electric Input Sheet –CPP appendix.xlsx Input file for adult lead analysis for the scenario with a 100-mile buffer zone “without CPP” scenario, input file that provides starting and ending year of analyses, exposures by COMID, coho rt and compliance year, population distributions and body mass by decade and sex, populations by analytical scenario, life tables from the census bu reau, Value of Statistical Life and inflation, and probabilities of survival through age. Steam Electric Input Sheet – no CPP appendix.xlsx Input file for adult lead analysis for the scenario with a 100-mile buffer zone “with CPP” scenario, input file that provides starting and ending year of analyses, exposures by COMID, coho rt and compliance year, population distributions and body mass by decade and sex, populations by analytical scenario, life tables from the census bu reau, Value of Statistical Life and inflation, and probabilities of survival through age.September 30, 2015 Abt Associates | List of Rulemaking Benefit Files | Page 5 File Name Description/Purpose Steam_Electric_Blood_Lead_Cal
culations-final.R R script implementing the Leggett + model, modified to account for changes in ingested lead from fish tissue cons umption, suitable to the Steam Electric ELG analysis. The script requires R, and access to a MySQL database. Steam_Electric_Blood_Lead_Fun
ctions-final.R R script containing functions necessary to run the Leggett+ model.

Steam_Electric_Adverse_Effects _Monetization-final.R R script monetizing the benefits associated with adult lead reduction due to
the Steam Electric ELG. Steam_Electric_Adverse_Effects _Monetization functions-final.R R script containing functions necessary to monetize benefits of adult lead
reductions due to the Steam Electric ELG. Nonmarket Water Quality Improvement Bene fits Analysis [\Surface Water Quality] bg_pnts_ALL.csv XY Coordinates for all 2010 Census block groups in the conterminous US.
Used in GIS distance calculations. CENSUS_ALL.csv Contains all the Census Summary File 1 and American Community Survey data used in the analysis by bloc k group. Used in the GIS analysis. NHD_pnts_ALL_wdata.dbf Contains the centroid coordinates for a ll NHD reaches, along with some additional spatial information. Used in the GIS distance calculations. wqout_30JAN15_SEfac_Liou.csv Contains water quality values by NHD reach. Used to determine average change in water quality for reaches w ithin a distance of a Census block

group. wqout_30JAN15_SEfac_McClell
and.csv Contains water quality values by NHD reach. Used to determine average change in water quality for reaches w ithin a distance of a Census block

group. wqout_#####.csv Other files that contain water quality values by NHD reach under different scenarios. Not all are currently used. Used to determine average change in water quality for reaches within a distance of a Census block group. WQ_010915_100mi.v2_cty_inc.c

sv Data file providing county-level income data

WQ_WTP_stdata_012215.csv Data file providing state-level data MRM2_Wtd_coef.txt Text file containing coefficient values for the MRM2 weighted model MRM2S_log_coef.txt Text file containing coefficient values for the MRM2-S log model SE_WTP_Inputs_2015_07-23.xls File containing intermediate data and calculations including metals criteria SE_WQWTP_26AUG15_Round
3.csv Data file that summarizes changes in water quality index for each option and census block group, as well as census bl ock group specific information such as population and region, fo r the “with CPP” scenario SE_WQWTP_26AUG15_Round
2.csv Data file that summarizes changes in water quality index for each option and census block group, as well as census bl ock group specific information such as population and region, for the “without CPP” scenario SE Analysis_compile WQI_2015.08.26.sas SAS code that calculates the baseline and post-compliance water quality index for each affected reach; run on ce for “without CPP” scenario (Round 2) and once for “with CPP” scenario. SE Analysis_estimate benefits_state_and_buffer_2015.0
8.27.sas SAS code that calculates household and total WTP for surface water quality improvements based on changes in water quality index and various geographic and household characteristics wq_comid_summary_ROUND2_
28AUG15.xlsx SAS output file (with subsequent calcu lations) that summarizes changes in the water quality index under each re gulatory scenario , for the “without
CPP” scenario wq_comid_summary_ROUND3_
28AUG15.xlsx SAS output file (with subsequent calcu lations for exhibits) that summarizes changes in the water quality index u nder each regulatory scenario, for the
“with CPP” scenario WQ_Meta_out_withCPP_28AUG
15.xls SAS output file (with subsequent calcu lations for exhibits) that shows the household and total WTP for surface water improvements under MRM2 and MRM2-S models, for the “with CPP” scenario WQ_Meta_out_withoutCPP_31A
UG15.xls SAS output file (with subsequent calcu lations for exhibits) that shows the household and total WTP for surface water improvements under MRM2 and MRM2-S models, for the “without CPP” scenarioSeptember 30, 2015 Abt Associates | List of Rulemaking Benefit Files | Page 6 File Name Description/Purpose Threatened and Endangered Species Impact Benefits Analysis [\Threatened and Endangered Species] TE_Layers.gdb ESRI ArcGIS File Geodatabase containing species location data. Monetization_Layers.gdb ESRI ArcGIS File Geodatabase containing species location data for specific species used in the monetization analysis. Reaches_011215.shp ESRI Ar cGIS Shapefile containing the NHD reaches that receive discharge
under the rule. Used to determine if any T&E species overlap with the
reaches. T&E.overlaps-final.R This R script compares the location of T&E species habitat with the locations (waterbodies) of in-sc ope facility discharge locations. comid_species.csv Input file containing the set of COMIDs containing habitat for T&E species water_hq.csv Input file identifying COMIDs that do not meet wq criteria at baseline and
under various scenarios waterbodies.csv Input file containing prope r names for COMIDs identified in files. t&e_spp_list.csv Species list including vulner abilities likely to be affected by the Steam
Electric ELG T&E spp with benefits – final.R Script that monetizes estimated benefits accruing to T&E species due to the
ELG species.csv Input list of T&E sp ecies with potential benefits. comid.state.csv Input list of CO MIDs and associated states comid_state_species.csv Input file containing list of comids, state, overlaps with T&E species, and length in miles of comids. ben_lengths.csv comids with lengths an d associated states with benefits. All.overlaps.csv Input file lis ting all overlaps between T&E sp ecies and facilities in-scope of the ELG, and water quality exceedan ces under baseline and scenario
conditions. Environmental Justice [\EJ] As_Results_50miles_2015-04-
01.xlsx Apportions arsenic related results across various environmental justice categories (e.g., poverty group, ethnic ity, and combinations) with tables for distribution of improved health effects, benefits, and baseline incidence Hg_Results_50miles_2015-04-
01.xlsx Apportions mercury related results across various environmental justice categories (e.g., poverty group, ethnic ity, and combinations) with tables for distribution of improved health effects, benefits, and baseline incidence Pb_Results_50miles_2015-04-
01.xlsx Apportions lead related results across various environmental justice categories (e.g., poverty group, ethnic ity, and combinations) with tables for distribution of improved health effects, benefits, and baseline incidence Steam_Electric_EJ_stats.r Calculates statistics found in As_Results_50miles_2015-04-01.xlsx, Hg_Results_50miles_2015-04-01.xlsx, and Pb_Results_50miles_2015-04-
01.xlsx files Avoided Impoundment Release Benefits Analysis [\Impoundment Releases] impoundment analysis data.xlsx Compiles data and assumptions used in the impoundment analysis impoundment analysis wCPPavg.xlsx calculates the average impoundment be nefits using the “with CPP, high” and “with CPP, low” analyses impoundment analysis wCPPhigh.xlsx Calculates the high end of the impoundment benefits using data from the “impoundment analysis data” file and baseline and post-compliance impoundment capacities impoundment analysis
wCPPlow.xlsx Calculates the low end of the impoundment benefits using data from the “impoundment analysis data” file and baseline and post-compliance impoundment capacities impoundment analysis
woCPP.xlsx Calculates the low end of the impoundment benefits for scenario without CPP, using data from the “impoundment analysis data” file and baseline and post-compliance impoundment capacities impoundmentdimensions.xlsx Compiles information about impoundments in the analysis universe and assigns them as big or small based on available dataSeptember 30, 2015 Abt Associates | List of Rulemaking Benefit Files | Page 7 File Name Description/Purpose Air-Related Benefits Analysis [\Air] \Round3 – with CPP\WA5- 17_T6_AirRelatedBenefitswCPP _2015-06-15.xlsx Calculates air-related benefits for sc enario with CPP based on year-explicit changes in air emissions from electricity generation, auxiliary power use and transportation. \Round3 – with CPP\CBI WA5- 17_T9_AuxPower&Trans_2015-
04-17.xlsx Calculates year-explicit changes in transportation and auxiliary energy requirements for scenario with CPP based on plan t-specific inputs received
from ERG. \Round3 – with CPP\SA BPT 3% and 7%_newfromCharles.xlsx Contains the benefits per ton (BPT) values for NO Xand SO 2 as received
from the Air Office. \Round 2 - without CPP\WA5- 17_T6_AirRelatedBenefits_2015-
06-15.xlsx Calculates air-related benefits for scenario without CPP based on yearexplicit changes in air emissions from electricity generation, auxiliary power use and transportation. \Round 2 - without CPP\CBI
WA5- 17_T9_AuxPower&Trans_2015-
04-17.xlsx Calculates year-explicit changes in transportation and auxiliary energy requirements for scenario without CP P based on plant-specific inputs
received from ERG.

\Round2 – without CPP\SA BPT 3% and 7%_newfromCharles.xlsx Contains the benefits per ton (BPT) values for NO Xand SO 2 as received from the Air Office (same as file in \Round 3 – with CPP). \Round2 – without CPP\WA5- 17_T6_AirRelatedBenefits_2015- 05-01_RegionalTest.xlsx Calculates sensitivity results on air-related benefits for scenario without CPP using regional BPT values instead of national BPT values.

\Round4 – Opt F\CBI WA5- 17_T9_AuxPower&Trans_2015-
06-26.xlsx Calculates year-explicit changes in transportation and auxiliary energy requirements for Option F based on plant-specific inputs received from
ERG. \Round4 – Opt F\WA5- 17_T6_AirRelatedBenefits_2015-
06-26.xlsx Calculates air-related benefits for Op tion F based on year-explicit changes in air emissions from electricity ge neration, auxiliary power use and transportation \Round4 – with CPP\SA BPT 3% and 7%_newfromCharles.xlsx Contains the benefits per ton (BPT) values for NO Xand SO 2 as received from the Air Office (same as file in \Round 3 – with CPP). Non-Water Quality Impacts – Bottom Ash E fficiency [\NWQI Botto m Ash Efficiency] CBI_AltBATech_IPMBasedAnal ysis_2015-06-29.xlsx Calculates the air-related benefits re sulting from efficiency improvements for alternative bottom ash technology based on IPM-derived emission
factors. Reduced Groundwater Withdrawal Benef its Analysis [\Groundwater Quantity] CBI_Intake Analysis GW 1-12-
2015.xlsx Spreadsheet that calculates the quantity of reduced groundw ater withdrawals
and the benefits associated with the reductions
Avoided Dredging Costs of Navigational Channels Benefits Analysis Nav Dredging_2015.04.27.xlsx USACE Dredging Data Nav Dredging_2015.06.02.xlsx Compiled navigational dredging data SE_Dredging_E2RF1_wStates_2
015.05.14.v2.xlsx List of HUC ID affected by discharges from steam electric facilities that had at least one dredging job NavDredgingData_1998- 2012_27APR15.xlsx Provides locational information and lat /longs for dredging jobs on reaches affected by steam electric discharges CCI.xlsx Input file- Construction cost index data predict.txt TSS concentration data from the SPARROW run e2rf1_dredge_xwalk.xlsx Crosswalk – dredging jobs and E2RF1 reaches EPAregion.xlsx EPA regions e2rf1s_w_sed_ch_ROUND1_04.
02.15.xlsx Input file - Provides data on sedi ment concentration/deposition for the reaches included in the analysis of dredging benefits. dreding_e2rf.xlsx Input file -Con solidated data on dredging jobs located on reaches affected by steam electric dischargers (including E2RF1 ID, lat/longs, and other relevant dredging job parameters) 1_SE_NavDredging_DataCompil e_1998-2012_2015.06.11.SAS SAS code to assemble input dataSeptember 30, 2015 Abt Associates | List of Rulemaking Benefit Files | Page 8 File Name Description/Purpose 2_NavDredging_AvoidedCostCal cs_2015.06.22.sas SAS code to calculate avoided costs of navigational waterway dredging.

NavDredging_Output_23JUN15_ ROUND2_woCPP.xlsx Output file - summary of the avoided costs from reduced dredging of navigational channels (without CPP rule). NavDredging_Output_23JUN15_ ROUND3_wCPP.xlsx Output file - summary of the avoided costs from reduced dredging of navigational channels (with CPP rule). Avoided Dredging Costs of Reservoirs Benefits Analysis RR_EPAREG_xwalk_04.07.15.xl

sx Input file - crosswalk between states and EPA regions

Regyr_table_2015.06.03.xlsx Input file – table lis ting options and years in the analysis period costcy_for_res_23JUN15.xlsx Input file – average costs per cubic meter of sediment dredged by region predict.txt Input file – sediment concentration from the SPARROW run SE_ResDreg_ResDecay_by_EPA reg_04.07.15.xlsx Input file – reservoir d ecay rates by EPA region

SE_ResDredging_AvoidedCosts_
2015.06.22.SAS SAS code for estimating avoided cost of reservoir dredging.

ResDredging_Output_23JUN15_
wCPP.xlsx Output file – summary of estimated avoided costs from reducing reservoir dredging (with CPP rule) ResDredging_Output_23JUN15_
woCPP.xlsx Output file – summary of estimated avoided costs from reducing reservoir dredging (without CPP rule) Meta-analysis of Stated Preference Water Quality Studies [\Meta-analysis] WQM0_FilesAndDirectories.do This prog ram documents the names of all files and directories used in the meta-analysis. WQM1a_DefineVariableValues.x
lsx This program sets variable values for use in benefit transfer based on the revised versions of the meta-analysis model. WQM1b_RegressionModel.do This program runs regressions that model willingness-to-pay for water quality changes. WQM1c_OutputRegResults.do This program outputs regression results from the meta-model in tabular
format. WQM2a_WTPvsWQ.do This program conducts additional analyses to explore the relationship/functional form between WTP and WQ. WQM2b_MemoMRM2Sensitivit y.do This program conducts additional analyses to explore the relationship/functional form between WTP and WQ, with a focus on
MRM2. WQM3_Example WTP Calculations by Model.xlsx This program calculates WTP for different potential meta-models.

WQM1b_CleanMetadata.dta This Stata file c ontains a clean copy of the meta-dataset. WQM1b_Coef_20150422_MRM
1.ster This Stata .ster file documents the regression results for the unweighted
MRM1 model. WQM1b_Coef_20150422_MRM
2.ster This Stata .ster file documents the regression results for the unweighted
MRM2 model. WQM1b_Coef_20150422_MRM 2weights.ster This Stata .ster file documents the regression results for the weighted
MRM2 model. WQM1b_Coef_20150817_MRM 2lnwqc.ster This Stata .ster file documents the regression results for the unweighted MRM2-S (ln delta WQ) model WQM1b_Coef_20150817_MRM 2lnwqcWt.ster This Stata .ster file documents the regression results for the weighted MRM2-S (ln delta WQ) model WQM1b_Coef_20150817_MRM 2wqc.ster This Stata .ster file documents the regression results for the unweighted MRM2-S (delta WQ) model WQM1b_Coef_20150817_MRM 2wqcWt.ster This Stata .ster file documents the regression results for the weighted MRM2-S (delta WQ) model
WA1- 09_T5_RevisedMetadata_111214
.dta This is the original (raw) meta-dataset, in Stata format.September 30, 2015 Abt Associates | List of Rulemaking Benefit Files | Page 9 File Name Description/Purpose Enhanced CCR Marketability Benefits Analysis [\Ash Marketing] AM1_PrepareStateDemandData.s

as Compiles and formats USGS “Minerals Yearbook” statistics by state, for cement and sand and gravel. These st atistics serve as upper-bound proxies for the state-level demand for CCR as a replacement for sand and gravel and
for cement. AM1a_StateCommodityPriceCalc
ulations.xlsx Estimates the multi-year average state-level price for cement and sand and gravel. AM2_CCR Reuse Analysis_2015-06-09.xlsx Estimates plant-level quantity of CCR used beneficially (based on unmet state-level demand) and estimates monetary value of beneficial re-use and also estimates plant-level quantity and economic value of avoided resource and environmental impacts of virgin materials gained by using CCRs in beneficial reuse applications. Total Benefits Analysis [\Total Benefits] WA05_T9_SummaryAllBenefits.
xlsx Summarizes benefits results from a ll benefit categories, calculates total benefits, benefits over time, net benefits, and associated ratios 1. there are three copies of each of these health results files: one for the 50-mile buffer zone “with CPP” scenario,
one for the 50-mile buffer zone “without CPP” scenario , and one for the 100-mile buffer zone “with CPP” scenario. There is a separate folder for each scenario.