INFEWS: U.S.-China: Food-Energy-Water Feedback Mechanism, Integrated Modeling and Coordinated Management: A Comparative Study of China Jing-Jin-Ji Region and US Central Valley CA

INFEWS：中美：食物-能源-水反馈机制、综合建模与协调管理：中国京津冀地区与美国中央谷地的比较研究

• 批准号: 2025989
• 负责人: Justin Baker
• 金额: $ 50万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-03-15 至 2025-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2025989&HistoricalAwards=false
• 关键词: INFEWS; U.S.; China; Food; Energy

This research project will use modeling techniques that integrate agricultural land use, energy generation, and hydrologic systems to predict future food-energy-water (FEW) relationships. With the Central Valley, California (United States) and the Jing-Jin-Ji region (China) as case studies, a harmonized scenario-analysis approach will be developed to evaluate potential synergies and trade-offs of infrastructure development and policy priorities. Results from policy simulations will inform potential solutions to future resource limitations. In the U.S. case-study region, modeling will inform policy discussions by offering a more detailed depiction of land-use systems in the Central Valley, while accounting for the economic opportunity costs of agricultural land displacement under new policies and renewable energy-siting considerations. Additional simulation analysis will test alternative solutions to challenges in each region, including groundwater storage set-asides, new water trading schemes to assess whether these solutions are resilient to future socioeconomic, policy, and environmental conditions.While previous nexus studies have incorporated land use considerations for representing agricultural production possibilities, the dynamic feedback between large-scale renewable energy expansion, agricultural land resource management, and water resource demands under alternative future climate conditions needs further exploration as planned for this project. Furthermore, this research will explicitly inform updates to the publicly available California Value Integrated Network (CALVIN) hydro-economic modeling infrastructure for the Central Valley region by offering new perspective potential land use trajectories in the region under agricultural water demands that might evolve over time with renewable energy infrastructure investments and groundwater management dynamics. Harmonized scenario analysis in collaboration with the Chinese research team will provide a comparative assessment of nexus challenges and solutions under changing socioeconomic, policy, and environmental conditions. The research team will offer insight into how institutional constraints on the FEW nexus can impact optimal resource allocation and potential solutions that could improve sustainability outcomes in the FEW nexus.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该研究项目将使用整合农业土地利用、能源生产和水文系统的建模技术来预测未来的食物-能源-水（FEW）关系。 以加利福尼亚州中央山谷（美国）和京津冀地区（中国）为案例研究，将制定统一的情景分析方法，以评估基础设施发展和政策优先事项的潜在协同效应和权衡。政策模拟的结果将为未来资源限制的潜在解决方案提供信息。在美国案例研究地区，建模将通过更详细地描述中央山谷的土地利用系统来为政策讨论提供信息，同时考虑新政策和可再生能源选址考虑下农业用地迁移的经济机会成本。额外的模拟分析将测试每个地区面临的挑战的替代解决方案，包括地下水储存预留、新的水交易计划，以评估这些解决方案是否能够适应未来的社会经济、政策和环境条件。虽然之前的关系研究已纳入土地利用考虑因素为了代表农业生产的可能性，未来气候条件下的大规模可再生能源扩张、农业土地资源管理和水资源需求之间的动态反馈需要按照本项目的计划进行进一步探索。此外，这项研究将明确告知中央谷地区公开的加州价值综合网络（CALVIN）水利经济建模基础设施的更新，提供新的视角，了解该地区农业用水需求下的潜在土地利用轨迹，这些需求可能会随着时间的推移而变化。可再生能源基础设施投资和地下水管理动态。与中国研究团队合作的统一情景分析将对不断变化的社会经济、政策和环境条件下的关系挑战和解决方案进行比较评估。研究团队将深入了解 FEW 关系的制度限制如何影响最佳资源分配和潜在解决方案，从而改善 FEW 关系的可持续性成果。该奖项反映了 NSF 的法定使命，并通过使用基金会的评估进行评估，认为值得支持。智力价值和更广泛的影响审查标准。