TY - JOUR
T1 - Developing an integrated technology-environment-economics model to simulate food-energy-water systems in Corn Belt watersheds
AU - Li, Shaobin
AU - Cai, Ximing
AU - Emaminejad, Seyed Aryan
AU - Juneja, Ankita
AU - Niroula, Sundar
AU - Oh, Seojeong
AU - Wallington, Kevin
AU - Cusick, Roland D.
AU - Gramig, Benjamin M.
AU - John, Stephen
AU - McIsaac, Gregory F.
AU - Singh, Vijay
N1 - Funding Information:
This work was supported by the US National Science Foundation (INFEWS/T1 award number 1739788 ). We are grateful to industrial, governmental, and agricultural stakeholders in Decatur, IL for providing valuable data for developing components of the ITEEM. We appreciate valuable comments and constructive suggestions from the editors Daniel P. Ames and Tatiana Filatova, and three anonymous reviewers, which have considerably improved the quality of this work.
Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/9
Y1 - 2021/9
N2 - 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.
AB - 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.
KW - Environmental benefits
KW - Integrated modeling
KW - Machine learning
KW - Nutrient recycling
KW - Phosphorus recovery
KW - Surrogate modeling
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U2 - 10.1016/j.envsoft.2021.105083
DO - 10.1016/j.envsoft.2021.105083
M3 - Article
AN - SCOPUS:85106484333
SN - 1364-8152
VL - 143
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
M1 - 105083
ER -