CAREER: CAS- Climate: Advancing Water Sustainability and Economic Resilience through Research and Education: An Integrated Systems Approach

职业：CAS-气候：通过研究和教育促进水的可持续性和经济弹性：综合系统方法

• 批准号: 2144169
• 负责人: Landon Marston
• 金额: $ 51万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-15 至 2027-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2144169&HistoricalAwards=false
• 关键词: CAREER; CAS; Climate; Advancing; Water

Water-related economic risks and unsustainable water uses will accelerate under the combined pressures of climate change, antiquated infrastructure, and competition for scarce water. In an increasingly interconnected economy, water-related risks can spread through linked river, trade, and electricity networks to other areas. Yet, traditional approaches to U.S. water management and science do not consider multi-scale interdependencies within the hydrologic and economic systems. Efforts to ameliorate water risks and use water more sustainably within the economy will require an understanding of (i) the drivers of water use within different industries, (ii) the source and location of water uses, and (iii) the infrastructure that enables water use and creates dependencies within supply chain networks. This project will address fundamental questions regarding how water can be used more sustainably within interconnected hydrologic, economic, and infrastructure networks. More specifically, this research will (i) determine the economic, environmental, technological, and regulatory determinants of industrial water uses; (ii) conceptually and analytically connect aquifers, rivers, and supporting infrastructure to the irrigated croplands that underpin the nation’s food supply; and (iii) reveal local and nonlocal vulnerabilities and opportunities for improved sustainability within the interconnected hydrologic, infrastructure, and supply chain networks. The scientific advances and student training stemming from work will support a pressing national need for more resilient supply chains and infrastructure to support a more sustainable economy.The overarching scientific question of this research is: How do infrastructure, hydrologic, and economic systems converge to shape water use and risks within the U.S. economy? This work will harness large- scale data with machine learning, multilayer network analysis, and geospatial tools to uncover the drivers of industrial water use, water infrastructure dependencies within the economy, and the water scarcity risks and opportunities embedded within the hydro-economic system. Building on recent research and through unique data access, this project aims to produce infrastructure-level insights regarding where, for what purpose, and from what source water is used within the U.S. economy. Research advances will be integrated within an education plan that will generate new knowledge regarding the efficacy of different sustainability and systems science instructional methods within undergraduate and K- 12 settings. Undergraduate students, scientists, and middle school science teachers will utilize research findings to co-develop interactive webtools, in-person demonstrations, kid-reviewed scientific publications, and lesson plans for K-12 students. Using these educational tools, the PI and undergraduate students will engage with local and regional elementary and middle school students. The U.S. Geological Survey’s Water Science School (7.5M+ unique annual visitors) will make educational tools available for use in traditional and virtual classrooms worldwide.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.

在气候变化，过时的基础设施和稀缺水的竞争的综合压力下，与水有关的经济风险和不可持续的用水量将加速。在日益互连的经济中，与水有关的风险可以通过连接的河流，贸易和电网传播到其他地区。然而，美国水管理和科学的传统方法不考虑水文和经济体系中的多尺度相互依赖性。改善水风险并在经济中更可持续使用水的努力将需要了解（i）（i）不同行业中用水的驱动因素，（ii）用水的来源和位置，以及（iii）启用用水并在供应链网络中创造依赖性的基础设施。该项目将解决有关如何在互连的水文，经济和基础设施网络中更可持续使用水的基本问题。更具体地说，这项研究将（i）确定工业用水的经济，环境，技术和监管决定者； （ii）从概念上和分析上将含水层，河流和支持基础设施连接到支撑国家粮食供应的灌溉农田； （iii）揭示了本地和非本地漏洞以及在互连的水文，基础设施和供应链网络中改善可持续性的机会。工作中的科学进步和学生培训将支持迫切的国家对更依赖的供应链和基础设施以支持更可持续的经济的需求。这项研究的总体科学问题是：基础设施，水文和经济体系如何融合以促进美国经济中的用水和风险？这项工作将通过机器学习，多层网络分析和地理空间工具来利用大规模数据，以揭示工业用水的驱动因素，经济中的水基础设施依赖性以及水力经济系统中嵌入的水稀缺风险和机会。在最近的研究和独特的数据访问的基础上，该项目旨在就美国经济中的何处，目的以及从何处使用的何处，目的以及从何处使用的何处，何处。研究进展将纳入一项教育计划中，该计划将产生有关本科和K-12环境中不同可持续性和系统科学教学方法效率的新知识。本科生，科学家和中学科学老师将利用研究结果来共同开发互动网络工具，面对面的演示，经过儿童评论的科学出版物以及K-12学生的课程计划。使用这些教育工具，PI和本科生将与本地和地区的小学和中学生互动。美国地质调查局的水科学学校（7500万+独特的年度游客）将使教育工具可用于全球传统和虚拟课程。该奖项反映了NSF的法定任务，并通过使用该基金会的知识分子优点和更广泛的影响来评估NSF的法定任务。

项目成果

Food, Energy, and Water Production Within Watersheds of the United States

美国流域内的粮食、能源和水生产

• DOI: 10.1029/2022wr034031
• 发表时间: 2023
• 期刊: Water Resources Research
• 影响因子: 5.4
• 作者: Ao, Yufei Zoe;Bakar Siddik, Md Abu;Konar, Megan;Marston, Landon T.
• 通讯作者: Marston, Landon T.

The water and carbon footprint of cryptocurrencies and conventional currencies

加密货币和传统货币的水和碳足迹

• DOI: 10.1016/j.jclepro.2023.137268
• 发表时间: 2023
• 期刊: Journal of Cleaner Production
• 影响因子: 11.1
• 作者: Siddik, Md Abu;Amaya, Maria;Marston, Landon T.
• 通讯作者: Marston, Landon T.

Water‐Use Data in the United States: Challenges and Future Directions

美国的水数据使用：挑战和未来方向

• DOI: 10.1111/1752-1688.13004
• 发表时间: 2022
• 期刊: JAWRA Journal of the American Water Resources Association
• 作者: Marston, Landon T.;Abdallah, Adel M.;Bagstad, Kenneth J.;Dickson, Kerim;Glynn, Pierre;Larsen, Sara G.;Melton, Forrest S.;Onda, Kyle;Painter, Jaime A.;Prairie, James
• 通讯作者: Prairie, James

Retirement of US fossil fuel-fired power plants will increase water availability

美国化石燃料发电厂的退役将增加可用水量

• DOI: 10.1016/j.jhydrol.2022.128984
• 发表时间: 2023
• 期刊: Journal of Hydrology
• 影响因子: 6.4
• 作者: Siddik, Md Abu;Grubert, Emily;Caldwell, Peter;Marston, Landon T.
• 通讯作者: Marston, Landon T.