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.

该项目由美国国家科学基金会地球科学理事会 (NSF/GEO) 和英国国家环境研究委员会 (NERC) 通过 NSF/GEO-NERC 牵头机构协议共同资助。美国/英国联合提案将由其研究人员在预算中所占比例最大的机构提交并进行同行评审。在成功联合确定奖励建议后，每个机构将资助支持其机构科学家的预算比例。各自国家的河水。污染对人类和环境健康、经济繁荣和水安全产生影响，传感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、动态和后果的方法提供了前所未有的机会。拟议的“SmartWater”项目将在实验分析、数据科学和数学建模方面产生创新，从而对不断变化的水世界中多污染物污染热点（位置）和热点时刻（时间）的动态驱动因素产生新的机械理解。 SmartWater 将环境传感、机器学习和数学建模与利益相关者的流域知识相结合，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提供基础。 SmartWater 的多学科 NERC-NSF 协作团队将通过结合下一代水污染来阐明决定水质的复杂物理、化学和生物控制监测、大数据分析、数值模型和流域知识将在美国的实验观测站展示这种诊断和预测水污染热点和热点出现以及流域水质动态和水质管理结果的新能力。 SmartWater 将与利益相关者社区合作，共同创建成功实施实用且与政策相关的水质管理实践的途径，SmartWater 将直接支持未来管理战略的设计和实施，以应对区域气候和环境变化。经过确定非线性污染热点和热点时刻对流域水动态质量的影响，这将增进对流域局部暴露变化以及污染物及其下游出口的大规模质量通量的了解。该奖项反映了 NSF 的法定使命。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，并被认为值得支持。