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Developing an integrated technology-environment-economics model to simulate food-energy-water systems in Corn Belt watersheds

  • Shaobin Li
  • , Ximing Cai
  • , Seyed Aryan Emaminejad
  • , Ankita Juneja
  • , Sundar Niroula
  • , Seojeong Oh
  • , Kevin Wallington
  • , Roland D. Cusick
  • , Benjamin M. Gramig
  • , Stephen John
  • , Gregory F. McIsaac
  • , Vijay Singh
  • University of Illinois at Urbana-Champaign
  • Agricultural Watershed Institute

Research output: Contribution to journalArticlepeer-review

Abstract

To facilitate understanding and decision making in the food-energy-water (FEW) nexus context, we develop an integrated technology-environment-economics model (ITEEM) at a watershed scale. ITEEM is built as an integration of various models, including models for grain processing, drinking water treatment, and wastewater treatment (technology); a watershed model for hydrology, water quality, crop production, and nutrient cycling (environment); an economics model assessing total benefit, including non-market valuation of environmental benefits. Different data techniques are applied to develop suitable surrogates for computer-based models, including a response matrix method, artificial neural networks, and lookup tables. Empirical equations are applied to develop models of economics and drinking water treatment. The input-output relationships between the models are formulated in a unified computational framework. ITEEM, a spatially semi-distributed dynamic simulation model, can be used to quantify the environmental and socioeconomic impacts of various management practices, technologies, and policy interventions on FEW systems in the Corn Belt.

Original languageEnglish
Article number105083
JournalEnvironmental Modelling and Software
Volume143
DOIs
StatePublished - Sep 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation
  2. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • Environmental benefits
  • Integrated modeling
  • Machine learning
  • Nutrient recycling
  • Phosphorus recovery
  • Surrogate modeling

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