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、陈旧的基础设施和对稀缺水资源的竞争的综合压力下，与水相关的经济风险和不可持续的用水将会加速。在经济联系日益紧密的情况下，与水相关的风险可能会通过相互联系的河流、贸易和电力网络蔓延到其他国家。然而，美国水管理和科学的传统方法没有考虑水文和经济系统内的多尺度相互依赖性，需要了解经济中的水风险和更可持续地利用水。 (i) 不同行业内用水的驱动因素，(ii) 用水的来源和地点，以及 (iii) 实现用水并在供应链网络中产生依赖性的基础设施 该项目将解决有关用水的基本问题。更具体地说，这项研究将（i）确定工业用水的经济、环境、技术和监管决定因素；（ii）从概念上和分析上将含水层、河流联系起来。以及配套基础设施支撑国家粮食供应的灌溉农田；以及（iii）揭示地方和非地方的脆弱性以及在相互关联的水文、基础设施和供应链网络中改善可持续性的机会。工作带来的科学进步和学生培训将支持紧迫的国家需求。更具弹性的供应链和基础设施，以支持更可持续的经济。这项研究的首要科学问题是：基础设施、水文和经济系统如何共同影响美国经济中的用水和风险？将通过机器学习、多层网络分析和地理空间工具利用大规模数据，揭示工业用水的驱动因素、经济中对水基础设施的依赖，以及水利经济系统中蕴含的水资源短缺风险和机遇。该项目旨在通过最近的研究和独特的数据访问，就美国经济中的用水地点、用途和来源提供基础设施层面的见解。研究进展将被纳入一项教育计划中，从而产生新的知识。关于不同可持续性和系统科学的功效本科生和 K-12 环境中的教学方法将利用研究成果为 K-12 学生共同开发交互式网络工具、现场演示、儿童审阅的科学出版物和课程计划。使用这些教育工具，PI 和本科生将与当地和地区的中小学生互动。美国地质调查局的水科学学院（每年超过 750 万的独立访客）将提供可用于传统和中学生的教育工具。这反映了 NSF 的法定使命，并通过使用基金会的智力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

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: 2023-07
• 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: 2022-05
• 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;et al
• 通讯作者: et al

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: 2023-02
• 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.

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: 2023-05
• 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.

Interbasin water transfers in the United States and Canada

美国和加拿大的跨流域调水

• DOI: 10.1038/s41597-023-01935-4
• 发表时间: 2023-01-13
• 期刊: Scientific Data
• 影响因子: 9.8
• 作者: Siddik, Md. Abu Bakar;Dickson, Kerim E.;Rising, James;Ruddell, Benjamin L.;Marston, Landon T.
• 通讯作者: Marston, Landon T.