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 - 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 -