CAS-Climate: Crowd-Sourced Just-in-Time Inlet Maintenance as an Urban Strategy for Climate Resilience

CAS-气候：众包及时入口维护作为气候适应能力的城市战略

• 批准号: 2141192
• 负责人: Franco Montalto
• 金额: $ 44.96万
• 依托单位: Drexel University
• 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: 2022-03-15 至 2025-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2141192&HistoricalAwards=false
• 关键词: CAS; Climate; Crowd; Sourced; Just

The research will explore the possibility that in an era of increasingly decentralized infrastructure investments, urban residents purposefully engaged in maintenance of urban drainage systems can significantly enhance infrastructure system performance. Working in two different cities, the research team will execute an experiment in which crowd-sourced cleaning of storm drains and green infrastructure (GI) inlets is incentivized in advance of forecasted precipitation events, aided by development of a new mobile app. The premise is that inlet conditions largely determine the percentage of tributary area runoff that is captured by stormwater management infrastructure, and thus also the functional capacity of the stormwater system, a key determinant of flooding and indicator of urban resilience to extreme precipitation. The first hypothesis motivating the work is that existing storm drains and GI practices can be operated at higher efficiency if debris is removed immediately before precipitation occurs, and that this kind of just-in-time maintenance can be reliably crowd-sourced, increasing the value of existing storm drains and GI practices for attenuating runoff from both routine and extreme precipitation. Secondly, it is proposed that storm drains and inlets that are more efficient at capturing runoff will be viewed more favorably and accepted by the surrounding community than otherwise identically designed infrastructure that is partially or wholly obstructed with debris.The research will a) characterize the ability of urban drainage infrastructure, including GI, to manage stormwater under a range of precipitation and catchment conditions, b) pilot a strategy for meaningful engagement of paid Civic Scientists in the operation of decentralized infrastructure systems, c) develop an app that fuses multiple data sets (e.g. climate data available through web services, crowd-sourced photographs and work orders, payments) coupling environmental and human subsystems in a unique and potentially important way, d) survey public perception of urban drainage systems under a variety of contexts, e) potentially improve smart city planning and implementation, f) strengthen social infrastructure through community engagement, and g) advance knowledge in the fields of urban stormwater, sustainable water management, Internet-of-Things (IoT) technology, urban stewardship, environmental monitoring, and data fusion. By focusing on how to enhance the performance of existing urban drainage systems, the research targets building urban adaptive capacity and promoting sustainability and resilience in the face of climate change. The geographic focus of the work is the Cramer Hill section of Camden, NJ, an extremely flood prone neighborhood in which most of the residents are from underrepresented minority groups and 35% of the residents fall below the poverty line. The NYC research sites are geographically distributed throughout that city, with the majority located in neighborhoods with similar ethnic, racial, and economic characteristics to Camden. Broader impacts include a) helping stormwater utilities generate inlet and GI designs and maintenance protocols that function during extreme precipitation, b) evaluating upper bounds on the ability of GI and existing stormwater infrastructure to help in adapting to extreme precipitation, c) improving public perception of GI, and d) creating a new model for helping urban residents generate income through decentralized infrastructure maintenance. Study of the urban drainage systems under different weather and physical conditions, maintenance regimes, and social participation formats, will be of value to researchers in engineering, ecology, and urban planning. The incorporation of Civic Scientists in data collection will help to evaluate the potential role of community stewards in distributed infrastructure operation and maintenance, of great contemporary interest in environmental management and smart city development.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.

这项研究将探索在基础设施投资日益分散的时代，有目的地从事城市排水系统维护的城市居民是否可以显著提高基础设施系统的性能。研究团队将在两个不同的城市开展工作，进行一项实验，通过开发一款新的移动应用程序，在预测的降雨事件之前，激励众包清理暴雨下水道和绿色基础设施(GI)入口。前提是，进水口条件在很大程度上决定了雨水管理基础设施收集的支流区域径流的百分比，从而也决定了雨水系统的功能容量，雨水系统是洪水的关键决定因素，也是城市对极端降水的适应能力的指标。激励这项工作的第一个假设是，如果在降水发生前立即清除碎片，现有的雨水渠和GI措施可以更高的效率运行，这种及时的维护可以可靠地从群众中获得，从而增加现有雨水渠和GI措施的价值，以减少常规和极端降水的径流。其次，与部分或全部被碎屑堵塞的设计相同的基础设施相比，在收集径流方面更有效的雨水排水沟和进水口将更受周围社区的欢迎和接受。研究将a)表征包括地理信息系统在内的城市排水基础设施在一系列降水和集水区条件下管理雨水的能力，b)试行一项有意义地让公民科学家参与分散基础设施系统运营的战略，c)开发一种融合多个数据集(例如，通过网络服务、众包照片和工单获得的气候数据)的应用程序，这些活动包括：(A)以独特和可能重要的方式将环境和人类子系统结合起来；(D)调查公众在各种情况下对城市排水系统的看法；(E)潜在地改进智慧城市的规划和实施；(F)通过社区参与加强社会基础设施；以及(G)增进城市雨水、可持续水资源管理、物联网技术、城市管理、环境监测和数据融合等领域的知识。通过重点研究如何提高现有城市排水系统的性能，这项研究的目标是建设城市适应能力，促进应对气候变化的可持续性和复原力。这项工作的地理焦点是新泽西州卡姆登的克雷默山段，这是一个极易发生洪水的社区，那里的大多数居民来自代表性不足的少数群体，35%的居民生活在贫困线以下。纽约市的研究地点在地理上分布在该市各地，大多数位于与卡姆登具有相似种族、种族和经济特征的社区。更广泛的影响包括a)帮助雨水公用事业公司产生在极端降水期间发挥作用的进水口和GI设计和维护协议，b)评估GI和现有雨水基础设施帮助适应极端降水的能力上限，c)改善公众对GI的看法，以及d)创建一个新的模式，帮助城市居民通过分散的基础设施维护来创造收入。研究城市排水系统在不同天气和物理条件、维护制度和社会参与方式下的变化，将对工程、生态和城市规划的研究人员具有一定的价值。将公民科学家纳入数据收集将有助于评估社区管家在分布式基础设施运营和维护中的潜在作用，在环境管理和智慧城市发展方面具有极大的当代兴趣。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。