CIVIC-PG Track A: Smart Watersheds for Conservation and Resilience

CIVIC-PG 轨道 A：保护和恢复力的智能流域

• 批准号: 2228343
• 负责人: Branko Kerkez
• 金额: $ 5万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2228343&HistoricalAwards=false
• 关键词: CIVIC; PG; Track; Smart; Watersheds

Flooding is the leading cause of natural disaster fatalities and property damage in the US. Simultaneously, communities along rivers are facing unprecedented ecological challenges, such as harmful algal blooms, polluted waters, and degraded fish habitats. This Civic Innovation Challenge (CIVIC) project will enable the smart watershed – a landscape covered by connected sensors, whose data are analyzed to coordinate the flow of water between communities. The smart watershed will help address challenges of water pollution, flooding, and extreme weather. This community-led project brings together watershed planners, policy planners, ecologists, ethnographers, engineers, and dam operators along the Huron River in Michigan. The research will span multiple disciplines, ecosystems, communities, and residents across 800 square miles. Once validated at this scale, the smart watershed will become a viable blueprint to address flooding, ecological conservation, and climate resilience for communities across the US.The guiding hypothesis of this project is that smart watersheds will reduce flooding and restore the natural flows of rivers by helping dam operators coordinate water releases between communities. The hypothesis will be tested by answering the following research questions: (1) which social mechanisms underpin the major barriers to the adoption of real-time coordination between distributed dam operators in a watershed, (2) how should real-time data be disseminated to maximize the usability of decision- support systems, and (3) how should dynamical control algorithms be structured, parametrized, and constrained to support a positive feedback loop that maximally incentivizes participation by a group of operators? This research will lead to advances in fundamental knowledge, spanning ecology, water science, social science, data science, and controls. The project will result web-based decision support systems, which will ingest sensor data to help operators coordinate the flow of water in real-time. In the long term, the project will culminate in a successful demonstration of real-time coordination, as measured by ecologic indicators, reduction in flooding and operator trust. Ecological indicators will be measured directly via sensors and laboratory samples, while operator perceptions, trust, and broader outcomes will be measured through ethnographic methods, interviews, and surveys. Finally, the collective team, in partnership with policy planners from the coalition of local governments, will promote the findings of the project as part of best practices that can be followed by others across country.This project is in response to the Civic Innovation Challenge program—Track A. Living in a changing climate: pre-disaster action around adaptation, resilience, and mitigation—and is a collaboration between NSF, the Department of Homeland Security, and the Department of Energy.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.

洪水是美国自然灾害死亡和财产损失的主要原因，同时，河流沿岸的社区正面临着前所未有的生态挑战，例如有害的藻类繁殖、水域污染和鱼类栖息地退化。实现智能流域——由连接的传感器覆盖的景观，对数据进行分析以协调社区之间的水流。智能流域将有助于解决水污染、洪水和极端天气的挑战。该研究将涵盖密歇根州休伦河沿岸的流域规划者、政策规划者、生态学家、人种学家、工程师和大坝运营商，该研究将涵盖 800 平方英里的多个学科、生态系统、社区和居民。成为解决美国各地社区的洪水、生态保护和气候适应能力的可行蓝图。该项目的指导性假设是，智能流域将通过帮助水坝运营商协调泄水来减少洪水并恢复河流的自然流量该假设将通过回答以下研究问题进行检验：（1）哪些社会机制构成了流域分布式水坝运营商之间采用实时协调的主要障碍，（2）实时数据应该如何进行？传播以最大限度地提高决策支持系统的可用性，以及（3）动态控制算法应该如何构建、参数化和约束，以支持最大程度地激励一组操作员参与的正反馈循环？这项研究将带来进步？该项目将产生基于网络的决策支持系统，该系统将吸收传感器数据以帮助操作人员实时协调水流。从长远来看，该项目最终将成功展示实时协调，通过生态指标、洪水减少和操作员信任度来衡量，生态指标将通过传感器和实验室样本直接测量，同时操作员的感知、信任和更广泛的范围。结果将通过人种学方法、访谈、最后，集体团队将与地方政府联盟的政策规划者合作，推广该项目的研究结果，作为全国其他地方可以效仿的最佳实践的一部分。该项目是对公民社会的响应。创新挑战计划 - 轨道 A. 生活在不断变化的气候中：围绕适应、复原力和缓解的灾前行动 - 该计划是 NSF、国土安全部和能源部之间的合作。该奖项反映了 NSF 的法定使命并通过评估认为值得支持利用基金会的智力优势和更广泛的影响审查标准。