The Future of Food-Energy-Water Nexus in Jing-Jin-Ji Region under anthropogenic and climate challenges

Authors: Ke Ding*, Iowa State University, Yiming Wang, Iowa State University, Yuyu Zhou, Iowa State University
Topics: Urban and Regional Planning, Energy, Coupled Human and Natural Systems
Keywords: Food-Energy-Water Nexus
Session Type: Virtual Paper
Day: 4/8/2021
Start / End Time: 8:00 AM / 9:15 AM
Room: Virtual 6
Presentation File: No File Uploaded

The Paris Accord has set the emission target for each country to combat climate change. In the meantime, the population growth and urban development create an ever-increasing demand for critical food, energy, and water resources. A holistic approach is needed to combine sustainable development goals with the need for a sufficient supply of FEW resources to inform the decision-makers to layout efficient and feasible pathways moving forward. Such pathways are particularly difficult to find because it is a multi-objective task which involves in reduce emission, increase supply, resources conservation, and so forth that solely optimize one may have significant tradeoffs on the others. In places like China’s Jing-Jin-Ji region, the need for such sustainable pathways are especially urgent because of the rapid economic and urbanization development and intensifying environmental issues. We use the NEST tool developed by IIASA to build a coupled human-natural integrated assessment model for the Jing-Jin-Ji region at the city level which takes into account the emission reduction target, environmental requirements, the cities’ and the people’s demand to sustain daily activities, and the financial cost for the FEW infrastructure development and operations. We anticipate the result will provide us with efficient infrastructure development and investment strategies for each city and planning cycle that can maximize the renewable energy potential, fully utilize the resources transfer capabilities within and across regions, and minimize the financial cost all at the same time. We anticipate the results will provide novel insights to inform the forthcoming decision-making process.

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