Design and Development of a Near Real-Time Community Crowdsourced Resilience Information System for Enhancing Community Resilience in the Face of Flooding and other Extreme Events

设计和开发近实时社区众包抗灾信息系统，以增强社区面对洪水和其他极端事件的抗灾能力

• 批准号: 2325631
• 负责人: Barnali Dixon
• 金额: $ 148.86万
• 依托单位: University of South Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2325631&HistoricalAwards=false
• 关键词: Design; Development; Near; Real; Time

Communities along the coast are increasingly vulnerable to coastal hazards such as flooding due to extreme weather events and sea level rise. In the US alone, 40% of the population lives in coastal cities and subjected to elevated risks of such hazards. The probability of a flooding event in these communities is also increasing with global warming. The proposed project will design a neighborhood-scale Community Resilience Information System (CRIS-HAZARD) by leveraging citizen science and community participation for enabling real-time data-driven decision-making to make communities more resilient to flooding. CRIS-HAZARD will support frequent bi-directional flow of information among communities, research scientists, and decision-makers. The objective is to develop a platform that facilitates the smart and connected city framework by engaging diverse communities to improve the lives of all citizens, especially those who are marginalized. The project is piloted in Pinellas County, Florida, in the Tampa Bay region on the Gulf Coast of west-central Florida. This region’s geography and low elevation make it especially vulnerable to climate change-induced extreme weather events like flooding.Unlike previous attempts at integrating data and models to predict flooding events, the approach of CRIS-HAZARD is distinctive as this research pioneers the integration of user-supplied data (crowd-sourced and social media) with real-time flood prediction models and uncertainty analysis techniques, which is expected to advance our understanding of risk and resilience in coastal communities facing persistent flooding events. The initiative integrates the expertise of research institutions, government agencies (Office of Emergency Management or OEM), local stakeholders, and community engagement networks to enhance community-based planning and policy decisions, promoting community resilience. Furthermore, the project fosters customized resiliency planning at the neighborhood level engaging citizen scientists as partners. It aligns with the National Science Foundation's mission to provide transparent and accessible information on risks and vulnerability, contributing to the development of smart and resilient communities nationwide.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.

沿海地区的社区越来越容易受到沿海危害的影响，例如由于极端天气事件和海平面上升而造成的洪水。仅在美国，有40％的人口居住在沿海城市，并遭受此类危害的风险升高。这些社区发生洪水事件的可能性也随着全球变暖而增加。拟议的项目将通过利用公民科学和社区参与来设计一个社区规模的社区弹性信息系统（CRIS-HAZARD），以使实时数据驱动的决策使社区对洪水更具弹性。 CRIS-HAZARD将在社区，研究科学家和决策者之间经常支持信息流动。目的是开发一个平台，通过吸引潜水员社区来改善所有公民的生活，尤其是那些被边缘化的人的生活，从而促进智能和连接的城市框架。该项目在佛罗里达州中西部墨西哥湾沿岸的坦帕湾地区的佛罗里达州的皮内拉斯县驾驶。该地区的地理位置和较低的海拔高度使它特别容易受到攀登变化引起的极端天气事件，例如洪水等。以前的尝试整合数据和模型以预测洪水事件，CRIS-HAZARD的方法与众不同，因为这项研究使用户支持的数据（人群和社交媒体）与实时洪水预测的模型和无效分析技术相关联的沿海地区的整合是与用户支持的数据的整合，而这是对沿海的预测范围，而不是预测技术，这是对范围的预测，这是对范围的预测技术，这是在沿途的，这是对沿海的预测技术，这是对沿海的预测技术，这是对沿海的预测技术，这是在范围内的范围，这是涉及到沿海地区的范围。面临持续的洪水事件。该计划将研究机构，政府机构（应急管理办公室或OEM办公室），当地利益相关者和社区参与网络的专业知识整合在一起，以增强基于社区的计划和政策决策，从而促进社区的韧性。此外，该项目促进了社区一级定制的弹性计划，使公民科学家作为合作伙伴。它符合国家科学基金会的使命，即提供有关风险和脆弱性的透明且可访问的信息，这有助于全国智能和有韧性的社区的发展。该奖项反映了NSF的法定使命，并被认为是通过基金会的知识分子优点和更广泛影响的审查标准来评估，被认为是珍贵的支持。