INFEWS: U.S.-China: Increasing the Resilience of Human-Nature Interactions in the Yellow River Basin through Coordinated Food-Energy-Water Nexus Management

INFEWS：中美：通过协调的粮食-能源-水关系管理提高黄河流域人与自然相互作用的弹性

• 批准号: 1903249
• 负责人: Xin-Zhong Liang
• 金额: $ 50万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1903249&HistoricalAwards=false
• 关键词: INFEWS; U.S.; China; Increasing; Resilience

The resilience of human-nature systems at the nexus of food, energy, and water (FEW) is threatened by environmental change such as increasing climate extremes, growing population demands, and evolving land use. Actionable strategies for improving both U.S. and China's agricultural, economic, and environmental sustainability must be developed through better understanding of how their mutual interactions with climate affect the evolution of the coupled FEW systems. The research project integrates state-of-the-art knowledge and modeling capabilities in climate, hydrologic, agronomic, biogeochemical, engineering, and economic sciences. The investigation will build a framework to realistically couple, predict and apply interactive water, carbon, and nitrogen cycle processes with agricultural practices, resource management and government policies to address critical issues of vulnerability, resilience and sustainability in regional FEW systems. The U.S.-China comparison will determine the importance of human activities in enhancing or reducing FEW system resilience, and thereby to provide science-based decision support to navigate sustainable resources use for food and energy crops production. The project includes an international exchange program to support education of the next generation of scientists in a transdisciplinary research framework in which the cross-fertilization of ideas is central. Students will be engaged in all aspects of the project and collaborate with senior scientists in both U.S. and China teams, preparing these broadly trained researchers on new approaches critical for the future. The overarching goal of this project is to develop, evaluate, and apply a coupled modeling framework to address the adaptability of China's Food production-Energy development-Water supply systems (CFEW). The framework will incorporate environmental changes and human activities in the Yellow River Basin, where demands on these systems are in sharp conflict. The study will include the production of the main food and bioenergy crops; energy development from hydropower, coal reserves and biomass feedstocks; and the water supply management that includes reservoir operation, flood control, and irrigation strategy. The proposed approach explicitly incorporates interdependency, human-centric, and extremality hypotheses to enable deeper understanding of the natural-socioeconomic interactions underpinning China's FEW systems resilience and sustainability. The primary objectives are to: (1) develop CFEW to represent the multi-scale interactions and coevolution of regional FEW systems with climate and hydrologic processes responding to major environmental factors and human interventions; (2) understand key feedback mechanisms driving FEW systems and regional differences linking natural variations with human activities; (3) determine potential thresholds in these systems at which changes to human activities damage China's food, energy and water security and overall system resilience and adaptability, and (4) identify sustainable food and energy production pathways under limited land/water resources along with effective uses of the diversion water to contain these damages.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.

人类-自然系统在食物、能源和水（FEW）之间的恢复力受到环境变化的威胁，如极端气候的增加、人口需求的增长和土地利用的演变。改善美国和中国农业、经济和环境可持续性的可行战略必须通过更好地理解它们与气候的相互作用如何影响耦合的FEW系统的演变来制定。该研究项目整合了气候、水文、农学、地球化学、工程和经济科学方面的最先进的知识和建模能力。该调查将建立一个框架，以现实地耦合，预测和应用互动的水，碳和氮循环过程与农业实践，资源管理和政府政策，以解决区域FEW系统的脆弱性，复原力和可持续性的关键问题。美国-中国的比较将确定人类活动在增强或降低FEW系统恢复力方面的重要性，从而为指导粮食和能源作物生产的可持续资源利用提供科学决策支持。该项目包括一项国际交流计划，以支持在跨学科研究框架内对下一代科学家的教育，其中思想的交叉施肥是核心。学生将参与项目的各个方面，并与美国和中国团队的高级科学家合作，为这些训练有素的研究人员提供对未来至关重要的新方法。该项目的总体目标是开发、评估和应用一个耦合建模框架，以解决中国粮食生产-能源开发-供水系统（CFEW）的适应性问题。该框架将纳入黄河流域的环境变化和人类活动，在这些系统的需求是尖锐的冲突。该研究将包括主要粮食和生物能源作物的生产;水电、煤炭储备和生物质原料的能源开发;以及供水管理，包括水库运营、防洪和灌溉战略。所提出的方法明确纳入了相互依存、以人为中心和极端性假设，以便更深入地了解支撑中国FEW系统弹性和可持续性的自然-社会经济相互作用。主要目标是：（1）发展CFEW以代表区域FEW系统与气候和水文过程的多尺度相互作用和共同进化，以响应主要环境因素和人类干预;（2）理解驱动FEW系统的关键反馈机制以及将自然变化与人类活动联系起来的区域差异;（3）确定这些系统中人类活动变化损害中国粮食、能源和水安全以及整体系统恢复力和适应性的潜在阈值，以及（4）在有限的土地/水资源沿着的情况下确定可持续的食品和能源生产途径，并有效利用引水来控制这些损害。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Improving a Multilevel Turbulence Closure Model for a Shallow Lake in Comparison With Other 1‐D Models

• DOI: 10.1029/2019ms001971
• 发表时间: 2020-07
• 期刊: Journal of Advances in Modeling Earth Systems
• 影响因子: 6.8
• 作者: Lei Sun;Xin‐Zhong Liang;Tiejun Ling;Min Xu;X. Lee

Sensitivity of the simulation of extreme precipitation events in China to different cumulus parameterization schemes and the underlying mechanisms

中国极端降水事件模拟对不同积云参数化方案的敏感性及其机制

• DOI: 10.1016/j.atmosres.2023.106636
• 发表时间: 2023
• 期刊: Atmospheric Research
• 影响因子: 5.5
• 作者: Zhang, Shiyu;Wang, Minghao;Wang, Lanning;Liang, Xin-Zhong;Sun, Chao;Li, Qingquan
• 通讯作者: Li, Qingquan

Developing the Coupled CWRF‐FVCOM Modeling System to Understand and Predict Atmosphere‐Watershed Interactions Over the Great Lakes Region

• DOI: 10.1029/2020ms002319
• 发表时间: 2020-11
• 期刊: Journal of Advances in Modeling Earth Systems
• 影响因子: 6.8
• 作者: Lei Sun;Xin‐Zhong Liang;Meng Xia

Dynamical downscaling simulation of the East Asian summer monsoon in a regional Climate‐Weather Research and Forecasting model

• DOI: 10.1002/joc.6800
• 发表时间: 2020-09
• 期刊: International Journal of Climatology
• 作者: Qingquan Li;Tao Wang;Fang Wang;Xinyi Liang;Chongbo Zhao;Lili Dong;Chunyu Zhao;B. Xie

Agricultural Irrigation Effects on Hydrological Processes in the United States Northern High Plains Aquifer Simulated by the Coupled SWAT-MODFLOW System

• DOI: 10.3390/w14121938
• 发表时间: 2022-06
• 期刊: Water
• 影响因子: 3.4
• 作者: Sijal Dangol;Xuesong Zhang;Xin‐Zhong Liang;F. Miralles-Wilhelm