Collaborative Research: Connecting local stormwater decision-making to environmental outcomes

合作研究：将当地雨水决策与环境结果联系起来

• 批准号: 1805319
• 负责人: David Costello
• 金额: $ 23.66万
• 依托单位: Kent State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-06-01 至 2023-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1805319&HistoricalAwards=false
• 关键词: Collaborative; Research; Connecting; local; stormwater

Stormwater management is a multi-billion dollar enterprise in the United States that depends on human decisions at local to regional scales to achieve watershed scale environmental goals. This research aims to determine how decision-making processes influence actions taken to manage stormwater and the subsequent environmental outcomes at the watershed scale. The project will compare the Cleveland and Denver metropolitan regions, which are characterized by distinct institutional and environmental conditions, in order to distill general lessons about stormwater management dynamics in urbanizing regions. The investigators will determine how individual and institutional decision-making processes influence stormwater management actions through analysis of policy documents and a survey of stormwater managers (Objective 1). The research team will quantify how stormwater management actions influence flow regime at watershed scales through a combination of field monitoring and modeling (Objective 2). Further, the team will evaluate how flow regime modifies the ecosystem health status of urban watersheds (Objective 3). Findings from these objectives will be integrated to predict environmental outcomes from stormwater management strategies through a Bayesian network model linking decision-making to environmental outcomes (Objective 4). This study presents an integrative framework to empirically establish the cascading effects of decisions on stormwater management actions and environmental outcomes, both within and across regions. New scientific insight into stormwater management for urban aquatic ecosystem health is targeted to inform future directions of stormwater programs in US urban areas. This research will provide education and training opportunities around engineered stormwater systems and urban watersheds for K-12, undergraduate, and graduate students through hands-on research and data-based course activities. Science communication training, through a workshop that culminates in writing a "Data Nugget", will be provided to research team members, university researchers, and regional environmental education partners. Data Nuggets are exercises for K-12 classrooms that use real data to provide students with practice making scientific claims based on quantitative evidence. Data Nuggets developed by the research team will be tailored to the needs of Cleveland Metroparks and Denver KIC-NET partners and will also be made available online. Data will be made available through the CUAHSI Hydrologic Information System.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.

雨水管理在美国是一项价值数十亿美元的事业，它依赖于地方到区域规模的人类决策来实现分水岭规模的环境目标。这项研究旨在确定决策过程如何影响在分水岭尺度上采取的管理雨水的行动和随后的环境结果。该项目将对克利夫兰和丹佛大都会地区进行比较，这两个地区具有不同的制度和环境条件，以提炼关于城市化地区雨水管理动态的一般经验教训。调查人员将通过分析政策文件和对雨水管理人员进行调查，确定个人和机构的决策进程如何影响雨水管理行动(目标1)。研究小组将通过现场监测和建模相结合的方法，量化雨水管理行动如何影响流域尺度的水流状况(目标2)。此外，该小组将评估水流状况如何改变城市流域的生态系统健康状况(目标3)。将综合这些目标的调查结果，通过将决策与环境结果联系起来的贝叶斯网络模型来预测雨水管理战略的环境结果(目标4)。这项研究提出了一个综合框架，以经验地建立决策对区域内和跨区域的雨水管理行动和环境结果的级联影响。对雨水管理城市水生生态系统健康的新科学见解旨在为美国城市地区雨水计划的未来方向提供信息。这项研究将通过实践研究和基于数据的课程活动，为K-12、本科生和研究生提供关于工程雨水系统和城市分水岭的教育和培训机会。将通过一个讲习班向研究小组成员、大学研究人员和区域环境教育合作伙伴提供科学传播培训，最终编写一个“数据块”。数据块是为K-12课堂提供的练习，使用真实数据为学生提供练习，根据定量证据提出科学主张。研究团队开发的数据掘金将根据克利夫兰大都会公园和丹佛KIC-Net合作伙伴的需求量身定做，并将在网上提供。数据将通过CUAHSI水文信息系统提供。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势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

Champions and Traditional Technocrats: The Role of Environmental Value Orientation in Stormwater Management

冠军和传统技术官僚：环境价值取向在雨水管理中的作用

• DOI: 10.1111/1752-1688.13015
• 发表时间: 2022
• 期刊: JAWRA Journal of the American Water Resources Association
• 作者: Turner, V. Kelly;Gmoser‐Daskalakis, Kyra;Costello, David M.;Jefferson, Anne;Bhaskar, Aditi S.
• 通讯作者: Bhaskar, Aditi S.

Assessing the Use of Dual-Drainage Modeling to Determine the Effects of Green Stormwater Infrastructure on Roadway Flooding and Traffic Performance

• DOI: 10.3390/w13111563
• 发表时间: 2021-06-01
• 期刊: WATER
• 影响因子: 3.4
• 作者: Knight, Kathryn L.;Hou, Guangyang;Chen, Suren
• 通讯作者: Chen, Suren

Sensitivity of Streamflow Metrics to Infiltration‐Based Stormwater Management Networks

• DOI: 10.1029/2019wr026555
• 发表时间: 2020-06
• 期刊: Water Resources Research
• 影响因子: 5.4
• 作者: P. Avellaneda;A. Jefferson

Stormwater control impacts on runoff volume and peak flow: A meta‐analysis of watershed modelling studies

• DOI: 10.1002/hyp.13784
• 发表时间: 2020-05
• 期刊: Hydrological Processes
• 影响因子: 3.2
• 作者: C. Bell;Jordyn M. Wolfand;Chelsea L. Panos;A. Bhaskar;R. L. Gilliom;T. Hogue;K. Hopkins;A. Jefferson