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

暴雨洪水目前每年在美国造成90亿美元的损失，预计水浸的频率和强度将会增加。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暴雨洪水事件的影响。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，由于技术知识方面存在差距，因此难以将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，以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做法的多管辖区决策。该项目特别关注底特律大都会区的暴雨洪水，这是一个较老的后工业区，雨水基础设施老化，下水道系统合并，社会和经济隔离程度高。这项研究解决了管理暴雨洪水风险的方式，解决社会空间不平等的迫切需要。研究结果将为其他城市化地区纳入绿色雨水基础设施和管理雨水洪水提供更有效和公正的方法。该项目将向雨水管理人员、城市规划人员、社区组织和城市领导人，特别是那些在后工业化或萎缩城市背景下工作的人，传播科学和社区驱动的建议和工具。该项目将整合研究社会环境系统的多种方法，以研究雨水水文学、绿色和灰色基础设施、社区意识和偏好、以及对洪水的决策。该项目将把新的传感器数据纳入计算雨水模型，以确定雨水洪水风险，并优化最适合减少洪水的GSI位置。市政雨水政策和居民调查将为政治和体制环境如何影响政策决策和投资提供新的见解，这些决策和投资会导致不公平的暴雨洪水风险。在案例研究社区中的前瞻性研究将使研究人员能够与社区一起探索GSI投资方案，以及他们在洪水，正义，可行性和可取性之间产生的权衡。该奖项反映了NSF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.