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.

该研究项目将使用将农业用地使用，能源产生和水文系统整合的建模技术来预测未来的食品能量水（少量）关系。 随着中央山谷，加利福尼亚州（美国）和Jing-jin-ji地区（中国）作为案例研究，将开发一种统一的方案 - 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的资源限制提供潜在的解决方案。在美国案例研究区域，建模将通过提供对中央山谷的土地利用系统的更详细描述来为政策讨论提供依据，同时在新的政策和可续签的能源确定方面考虑农业土地流离失所的经济机会成本。其他模拟分析将测试每个地区的挑战的替代解决方案，包括地下水存储设定，新的水交易计划，以评估这些解决方案是否有弹性，对未来的社会经济，政策和环境状况有弹性。虽然先前的Nexus研究已纳入了土地用途的考虑因素，以代表农业生产可能性，并代表农业能源的范围，并不足以代表性的水源范围扩展水域，不足的水资源范围，不足的水资源范围内的范围范围范围范围范围范围的范围范围，这是农业的范围。替代的未来气候条件需要按计划的该项目进一步探索。此外，这项研究将明确为中央谷地区公共可用的加利福尼亚价值综合网络（CALVIN）水力经济建模基础设施提供最新信息，通过提供新的观点潜在的土地潜在的土地潜在的土地使用轨迹不足的农业水域需求，这些轨迹可能会随着时间的推移而随着时间的推移而随着时间的推移而随着时间的推移而随着时间的推移而发展。与中国研究团队合作的协调场景分析将在不断变化的社会经济，政策和环境条件下对Nexus挑战和解决方案进行比较评估。研究团队将洞悉对少数Nexus的机构限制如何影响最佳的资源分配和潜在的解决方案，从而可以改善少数Nexus的可持续性成果。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的审查标准来通过评估来获得支持的。