Datasets for manuscript: Valuing Economic Impact Reductions of Nutrient Pollution from Livestock Waste

https://github.com/zavalab/JuliaBox/tree/master/HiddenImpacts This folder provides supporting codes for the paper "Valuing Economic Impact Reductions of Nutrient Pollution from Livestock Waste". * The folder "sensitivity_analysis" contains the code and data files for different values of the economic impact/value of service (vos). * The folder "GIS_data" contains the code and data files used to generate the maps of the Upper Yahara watershed region presented in the paper. * In each case, we have three Julia scripts: "market_model.jl", "market_Run.jl", and "market_print.jl". One should run "market_Run.jl" first, this script will automatically read the "market_model.jl" script, establish the model, and solve the model. Then, the "market_print.jl" should be run in order to print out all the result files. * If a sensitivity analysis on the VOS needs to be conducted (similar to the paper), one can change the lambda value in line 26 in "market_model.jl". * We recommend use Julia 0.6.4 and Gurobi 8.1 to run all code files for sensitivity analysis.

This dataset is associated with the following publication: Sampat, A.M., A. Hicks, G. Ruiz-Mercado, and V.M. Zavala. Valuing economic impact reductions of nutrient pollution from livestock waste. Resources, Conservation and Recycling. Elsevier Science BV, Amsterdam, NETHERLANDS, 164: 105199, (2021).

Data and Resources

Field Value
accessLevel public
bureauCode {020:00}
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
identifier https://doi.org/10.23719/1518420
license https://pasteur.epa.gov/license/sciencehub-license.html
modified 2020-03-09
programCode {020:097}
publisher U.S. EPA Office of Research and Development (ORD)
publisher_hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
references {https://doi.org/10.1016/j.resconrec.2020.105199}
resource-type Dataset
source_datajson_identifier true
source_hash 90645bec00eb2a941a8ce5c006626699b33d2384
source_schema_version 1.1
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • ckan
  • economic-valuation
  • energy-recovery
  • geo
  • geoss
  • harmful-algal-bloom-hab
  • modeling-and-optimization
  • multi-criterion-decision-making-analysis
  • national
  • north-america
  • nutrient-pollution
  • organic-waste
  • quantitative-indicators
  • supply-chain
  • sustainability-analysis
  • united-states
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer Gerardo Ruiz-Mercado
maintainer_email ruiz-mercado.gerardo@epa.gov
metadata_created 2025-11-21T03:02:43.824388
metadata_modified 2025-11-21T03:02:43.824392
notes https://github.com/zavalab/JuliaBox/tree/master/HiddenImpacts This folder provides supporting codes for the paper "Valuing Economic Impact Reductions of Nutrient Pollution from Livestock Waste". * The folder "sensitivity_analysis" contains the code and data files for different values of the economic impact/value of service (vos). * The folder "GIS_data" contains the code and data files used to generate the maps of the Upper Yahara watershed region presented in the paper. * In each case, we have three Julia scripts: "market_model.jl", "market_Run.jl", and "market_print.jl". One should run "market_Run.jl" first, this script will automatically read the "market_model.jl" script, establish the model, and solve the model. Then, the "market_print.jl" should be run in order to print out all the result files. * If a sensitivity analysis on the VOS needs to be conducted (similar to the paper), one can change the lambda value in line 26 in "market_model.jl". * We recommend use Julia 0.6.4 and Gurobi 8.1 to run all code files for sensitivity analysis. This dataset is associated with the following publication: Sampat, A.M., A. Hicks, G. Ruiz-Mercado, and V.M. Zavala. Valuing economic impact reductions of nutrient pollution from livestock waste. Resources, Conservation and Recycling. Elsevier Science BV, Amsterdam, NETHERLANDS, 164: 105199, (2021).
num_resources 1
num_tags 18
title Datasets for manuscript: Valuing Economic Impact Reductions of Nutrient Pollution from Livestock Waste