SCC: Community-Based Automated Information for Urban Flooding

SCC：基于社区的城市洪水自动化信息

• 批准号: 1831475
• 负责人: Mikhail Chester
• 金额: $ 150万
• 依托单位: Arizona 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: 2018-10-01 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1831475&HistoricalAwards=false
• 关键词: SCC; Community; Based; Automated; Information

Flooding is the most damaging natural hazard in the U.S. and around the world, and most flood damage occurs in cities. Yet the ability to know when flooding is happening and communicate that risk to the public and first responders is limited. At the same time there is a surge in digitally connected technologies, many at the fingertips of the general public (e.g., smartphones). The need is for new flood information that can be generated from primary observations that are collected in exactly the right places and times to be coupled with the ability to more effectively communicate this risk to communities. This project will develop the Integrated Flood Stage Observation Network (IFSON), a system that can take in crowd-sourced information on flooding (from cameras, a smartphone app, and social media), intelligently assess flood risk (using machine learning), and communicate those risks in real time. IFSON will be scalable to any community or city and will provide a backbone for new crowd-sourced technologies.This project will i) integrate several new technologies (each that directly engages with different communities) to provide new insights into and communication capacity around urban flooding hazards, ii) connect a range of communities to each other in near-realtime (from the general public to first responders to infrastructure managers) and develop flood sensing and avoidance capacities that can be used anywhere in the U.S. or even internationally, iii) develop new insights into how urban morphology contributes to flood risk, and iv) leverage prior funding by connecting practitioners from existing sustainability research networks and sending data to CUAHSI and eRams. Additionally, this research will develop outreach activities that will educate the public and practitioners on how flooding hazards occur, their impacts, and how to mitigate risks. The research will directly empower and engage local citizens in flood event reporting and response, and explores a concrete model for what it would mean to have a "smart and connected community" for minimizing flood risk. Although driven by a number of novel technologies and techniques, the central focus of this work is on the interface of community with technology and, in particular, how modern network technologies can engage and bring together ordinary citizens, city planners, first responders, and other local stakeholders within a shared, collaboratively constructed information space; a broad range of educational and outreach opportunities are included to engage stakeholders and amplify project impact. In addition to training students through research positions, the project will create a summer Research Experience for Undergraduates (REU) program. It will also connect with national, state, and local societies across a number of disciplines. For example, the project will work with the City of Phoenix during their Monsoon Preparedness day to educate first responders on how to use project results. Interdisciplinary course modules that show how to engage various communities (including the public, first responders, and infrastructure managers) in mitigating flood risk will be developed and disseminated. Additionally, infrastructure managers will be recruited to participate in workshops on how project data will reveal new insights into the condition of infrastructure and what strategies can be employed to reduce hazards.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.

洪水是美国和世界各地最具破坏性的自然危害，大多数洪水破坏发生在城市中。然而，知道何时发生洪水并向公众和急救人员传达这种风险的能力是有限的。同时，数字连接的技术激增，许多技术在公众的指尖（例如智能手机）。需要从主要观察结果中产生的新洪水信息，这些信息可以在正确的位置和时间收集到，以便能够更有效地将这种风险传达给社区。该项目将开发综合洪水阶段观察网络（IFSON），该系统可以获取有关洪水的众包信息（来自相机，智能手机应用程序和社交媒体），智能评估洪水风险（使用机器学习），并实时传达这些风险。 IFSON将对任何社区或城市都可以扩展，并将为新的众包技术提供骨干。该项目将i）将几种新技术（每种直接与不同的社区直接接触）整合，以提供对城市洪水危险的新见解和沟通能力，围绕城市洪水危害，ii）在近乎公共的情况下（避开了一系列的企业范围），将一系列居民与一般的企业相连，从而避开了一系列的企业，并建立了一系列的企业，并建立了一系列的企业，并建立了一系列的企业，并建立了一系列的企业，并建立了一系列的企业，并将其与一般的企业构成，以至于造成了一系列的范围，并将其连接起来。 iii）在美国的任何地方使用，即）对城市形态如何促进洪水风险的新见解，而iv）通过将现有可持续性研究网络的从业人员连接并向Cuahsi和Erams发送数据来利用先前的资金。此外，这项研究将开发推广活动，将教育公众和从业者如何发生洪水危害，其影响以及如何减轻风险。这项研究将直接赋予当地公民参与洪水事件的报告和反应，并探索一个具体的模型，以了解拥有“聪明和联系的社区”，以最大程度地减少洪水风险。尽管受到许多新颖的技术和技术的驱动，但这项工作的主要重点是社区与技术的界面，尤其是现代网络技术如何在共享的，共同建设的信息空间中参与并将普通公民，城市规划者，急救人员和其他本地利益召集在一起；包括广泛的教育和外展机会，以吸引利益相关者并扩大项目影响。除了通过研究职位培训学生外，该项目还将为本科生（REU）计划创造夏季研究经验。它还将在许多学科中与国家，州和地方社会建立联系。例如，该项目将在季风准备日与凤凰城合作，以教育急救人员如何使用项目结果。将开发和传播跨学科的课程模块，这些模块显示如何与各种社区（包括公众，急救人员和基础设施经理）参与缓解洪水风险。此外，将招募基础架构经理参加研讨会，以了解项目数据将如何揭示有关基础架构条件的新见解，以及可以采用哪些策略来减少危害。该奖项反映了NSF的法定任务，并通过评估该基金会的智力功能和广泛的影响来评估NSF的法定任务。

项目成果

Growing Pains of Crowdsourced Stream Stage Monitoring Using Mobile Phones: The Development of CrowdHydrology

使用手机进行众包河流阶段监测的成长烦恼：CrowdHydrology 的发展

• DOI: 10.3389/feart.2019.00128
• 发表时间: 2019
• 期刊: Frontiers in Earth Science
• 影响因子: 2.9
• 作者: Lowry, Christopher S.;Fienen, Michael N.;Hall, Damon M.;Stepenuck, Kristine F.
• 通讯作者: Stepenuck, Kristine F.

Influence of Precipitation Uncertainty and Land Use Change on the Optimal Catchment Scale Configuration of Green Stormwater Infrastructure

降水不确定性和土地利用变化对绿色雨水基础设施最佳流域规模配置的影响

• DOI: 10.1061/jswbay.sweng-471
• 发表时间: 2023
• 期刊: Journal of Sustainable Water in the Built Environment
• 影响因子: 1.9
• 作者: Shrestha, Ashish;Garcia, Margaret
• 通讯作者: Garcia, Margaret

Comparison of Local, Regional, and Scaling Models for Rainfall Intensity–Duration–Frequency Analysis

降雨强度、持续时间和频率分析的地方、区域和尺度模型比较

• DOI: 10.1175/jamc-d-20-0094.1
• 发表时间: 2020
• 期刊: Journal of Applied Meteorology and Climatology
• 影响因子: 3
• 作者: Mascaro, Giuseppe

A synthetic water distribution network model for urban resilience

城市复原力的综合配水网络模型

• DOI: 10.1080/23789689.2020.1788230
• 发表时间: 2020
• 期刊: Sustainable and Resilient Infrastructure
• 影响因子: 5.9
• 作者: Ahmad, Nasir;Chester, Mikhail;Bondank, Emily;Arabi, Mazdak;Johnson, Nathan;Ruddell, Benjamin L.
• 通讯作者: Ruddell, Benjamin L.

Infrastructure Interdependency Failures From Extreme Weather Events as a Complex Process

• DOI: 10.3389/frwa.2020.00021
• 发表时间: 2020-08
• 作者: Emily N Bondank;M. Chester