NERC-NSFGEO SMARTWATER: Diagnosing controls of pollution hot spots and hot moments and their impact on catchment water quality

NERC-NSFGEO SMARTWATER：诊断污染热点和热点时刻的控制及其对流域水质的影响

• 批准号: 2331932
• 负责人: Aaron Packman
• 金额: $ 50万
• 依托单位: Northwestern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2028-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2331932&HistoricalAwards=false
• 关键词: NERC; NSFGEO; SMARTWATER; Diagnosing; controls

This is a project jointly funded by the National Science Foundation’s Directorate for Geosciences (NSF/GEO) and the National Environment Research Council (NERC) of the United Kingdom (UK) via the NSF/GEO-NERC Lead Agency Agreement. This Agreement allows a single joint US/UK proposal to be submitted and peer-reviewed by the Agency whose investigator has the largest proportion of the budget. Upon successful joint determination of an award recommendation, each Agency funds the proportion of the budget that supports scientists at institutions in their respective countries. River water pollution has consequences for human and environmental health, economic prosperity, and water security. Recent advances in sensing and data science provide unprecedented opportunities for a step change in the approaches used to identify and understand sources, dynamics, and consequences of water pollution in complex landscapes. The proposed “SmartWater” project will generate innovations in experimental analytics, data science and mathematical modelling to yield new mechanistic understanding of the dynamic drivers of multi-contaminant pollution hotspots (locations) and hot moments (times) in a changing water world. SmartWater will integrate environmental sensing, machine learning, and mathematical modelling with stakeholders' catchment knowledge to transform the way we diagnose, understand, predict, and manage water pollution hotspots and hot moments. SmartWater will provide the basis for improved decision-support and water quality management frameworks, which will be developed with and implemented by partner stakeholders.SmartWater’s multi-disciplinary, NERC-NSF collaborative team will unravel the complex physical, chemical, and biological controls that determine water quality by combining next-generation water pollution monitoring, big data analysis, numerical models, and catchment knowledge. This new capability to diagnose and predict the emergence of water pollution hotspots and hot moments, and outcomes for catchment water quality dynamics and water quality management will be demonstrated at experimental observatories in the United Kingdom and the United States. SmartWater will work with stakeholder communities to co-create pathways for successfully implementing practical and policy-relevant water quality management practices. SmartWater will directly support design and implementation of future management strategies in the face of regional climate and environmental change by determining the impact of non-linear pollution hotspots and hot moments on catchment water quality dynamics. This will improve understanding of changing local exposures in river basins as well as large-scale mass fluxes of pollutants and their downstream export.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.

这是一个由国家科学基金会地球科学局（NSF/GEO）和英国国家环境研究委员会（NERC）共同资助的项目，该项目通过NSF/GEO-GEO-NERC领先机构协议。该协议允许该机构提交和同行评审的一项联合提案，其调查员的预算比例最大。成功确定奖励建议后，每个机构都资助了支持各自国家机构的科学家的预算比例。河水污染对人类和环境健康，经济繁荣和水安全产生了影响。敏感性和数据科学的最新进展为识别和理解复杂景观中水污染的来源，动态和后果的方法的逐步改变提供了前所未有的机会。拟议的“智能水”项目将在实验分析，数据科学和数学建模中产生创新，以产生对不断变化的水域世界中多种污染热点（位置）和热点（时代）的动态驱动因素的新机械理解。 Smartwater将将环境感测，机器学习和数学建模与利益相关者的集水知识相结合，以改变我们诊断，理解，预测和管理水污染热点和热点的方式。 Smartwater将为改善决策支持和水质管理框架提供基础，这些框架将由合作伙伴利益相关者开发和实施。Smartwater的多学科NERC-NSF协作团队将揭示复杂的物理，化学，化学和生物学控制，从而通过结合下一代水污染水平的知识，大量数据分析，数值，以及CANCTERICTICSILACTINCLESTICS，CATCERTICAL，CATCTERICTIC，这些控制能够确定水质。这种新的能力可以在英国和美国的实验观察者中展示出水污染热点和热点的水污染点和热点的出现以及集水水质动态和水质管理的结果。 Smartwater将与利益相关者社区合作，共同创建途径，以成功地实施实际和政策的水质管理实践。面对区域气候和环境变化，Smartwater将直接支持未来管理策略的设计和实施，通过确定非线性污染热点和热点对流域水质动态的影响。这将提高人们对不断变化的河鲈鱼的当地暴露以及大规模污染物及其下游出口的大规模大规模通量的理解。该奖项反映了NSF的法定任务，并被认为是通过基金会的智力优点和更广泛的影响来通过评估来获得的支持。