DISES: Governing Green Stormwater Infrastructure for Just and Adaptive Urban Flood Management

目前，美国每年因暴雨洪水造成的损失高达90亿美元，而且洪水发生的频率和强度预计还会增加。由于基础设施老化和不足，低收入社区往往不成比例地受到雨水泛滥事件的影响。绿色雨水基础设施（GSI）有可能有助于有效解决雨水泛滥问题，并带来许多环境效益。然而，由于技术知识上的差距，很难将GSI与传统的雨水基础设施和现有的雨水治理系统有效地结合起来。该项目将综合运用工程、政策、设计和基于社区的方法，产生关于传统基础设施与GSI之间相互作用的新知识，以及最适合评估新的适应性雨水管理实践的多辖区决策。该项目特别关注底特律大都市区的雨水泛滥问题，这是一个老旧的后工业地区，雨水基础设施老化，综合下水道系统，社会和经济高度隔离。本研究解决了以解决社会空间不平等的方式管理暴雨洪水风险的迫切需要。研究结果将为其他城市化地区整合绿色雨水基础设施和管理雨水泛滥提供更有效、更公正的方法。该项目将向雨水管理者、城市规划者、社区组织和城市领导人，特别是在后工业时代或城市萎缩背景下工作的人，传播科学和社区驱动的建议和工具。该项目将整合多种研究社会环境系统的方法，以检查雨水水文、绿色和灰色基础设施、社区意识和偏好以及有关雨水泛滥的决策之间的相互作用。该项目将新型传感器数据整合到计算暴雨模型中，以确定暴雨洪水风险，并优化最适合减少洪水的GSI位置。城市雨水政策和居民调查将为政治和制度环境如何影响政策决策和投资提供新的见解，这些决策和投资导致了雨水洪水的不公平暴露。案例研究社区的参与性研究将允许研究人员与社区一起探索GSI投资场景，以及它们在洪水、正义、可行性和可取性之间产生的权衡。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Stormwater flooding is currently responsible for $9 billion in damage each year in the U.S., and the frequency and intensity of this flooding are expected to increase. Low-income communities are often disproportionately exposed to stormwater flooding events due to aging and inadequate infrastructure. Green stormwater infrastructure (GSI) has the potential to contribute to effective solutions to stormwater flooding with many environmental co-benefits. However, there are gaps in technical knowledge that can make it difficult to effectively integrate GSI with traditional stormwater infrastructure and existing stormwater governance systems. This project will use a mix of engineering, policy, design, and community-based methods to generate new knowledge of the interactions between traditional infrastructure and GSI and the multi-jurisdictional decision-making best suited to evaluate new and adaptive stormwater management practices. The project focuses specifically on stormwater flooding in the Detroit Metropolitan Area, an older post-industrial region with aging stormwater infrastructure, a combined sewer system, and high levels of social and economic segregation. This research addresses the critical need to manage stormwater flood risk in ways that address socio-spatial inequalities. The findings will inform more effective and just approaches to incorporating Green Stormwater Infrastructure and managing stormwater flooding in other urbanized regions. The project will disseminate science- and community-driven recommendations and tools for stormwater managers, urban planners, community organizations, and city leaders, particularly those working in post-industrial or shrinking city contexts.The project will integrate multiple methods for studying social-environmental systems to examine the interactions between stormwater hydrology, green and gray infrastructures, community awareness and preferences, and decision-making about stormwater flooding. The project will incorporate novel sensor data into computational stormwater models to determine stormwater flood risk and optimize GSI locations best suited to reduce flooding. Municipal stormwater policies and resident surveys will provide new insight into the ways political and institutional context affect policy decisions and investments that drive inequitable exposure to stormwater flooding. Participatory research in case study neighborhoods will allow researchers to explore with communities GSI investment scenarios and tradeoffs they produce between flooding, justice, feasibility, and desirability.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.