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).

[
  "020:00"
]

{
  "fn": "Gerardo Ruiz-Mercado",
  "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
}

[
  {
    "title": "https://github.com/zavalab/JuliaBox/tree/master/SC_HABs",
    "accessURL": "https://github.com/zavalab/JuliaBox/tree/master/SC_HABs"
  }
]

[
  "Economic valuation",
  "Harmful Algal Bloom (HAB)",
  "energy recovery",
  "modeling and optimization",
  "multi-criterion decision making analysis",
  "nutrient pollution",
  "organic waste",
  "quantitative indicators",
  "supply chain",
  "sustainability analysis"
]

[
  "020:097"
]

{
  "name": "U.S. EPA Office of Research and Development (ORD)",
  "subOrganizationOf": {
    "name": "U.S. Environmental Protection Agency",
    "subOrganizationOf": {
      "name": "U.S. Government"
    }
  }
}

[
  "https://doi.org/10.1016/j.resconrec.2020.105199"
]

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