SCC-PG: Development of Resilience Roadmap for Rio Grande Valley
SCC-PG: Development of Resilience Roadmap for Rio Grande Valley
批准号:
2126701
负责人:
Ali Nejat
金额:
$14.99万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-10-01 至 2024-06-30
中文摘要
格兰德河谷(RGV)位于德克萨斯州东南角的美墨边境沿着,由于地势低洼且靠近墨西哥湾,长期以来一直经历着严重的洪水。洪水问题的根源在于建筑、自然和社会环境中的许多问题,包括快速城市化和相关的不透水覆盖层增加,以及不考虑水文的旧开发的普遍存在,以及没有排水基础设施的被称为殖民地的未合并社区。这些典型的低洼社区,不适合住宅开发,已经成为数千个家庭的家园,这些家庭对这个地方有着深刻的社会依恋。尽管地方当局作出了多项减灾努力,但洪水问题仍然存在。由于未来的气候变化,像这样的洪水事件更有可能发生,并将继续提出挑战。由于缺乏全面的抗灾计划和综合决策支持系统来科普自然和人为灾害,再加上资源不足,该地区更加脆弱,特别是易受连续灾害的影响。这项研究通过融合研究全面解决洪水问题,该研究汇集了社区利益相关者和跨学科研究团队,旨在制定一个专注于可行的适应战略的复原力路线图。该项目旨在通过提供社区论坛、焦点小组和调查等多种社区参与机会,尽可能实现社区的包容性。该规划补助金的目标是通过旨在从社会需求的透镜解决复杂问题的跨学科研究,为研究人员、从业人员和利益相关者之间的融合和包容性问题解决奠定基础。这将通过从居民和决策者那里收集各种社区数据的方法来实现,以收集关于他们的需求、挑战、优先事项、对洪水的看法以及对适应战略的开放程度的数据。在社区调查的同时,将收集与洪水相关的技术数据,包括地下形态,以促进分析根据利益相关者偏好分析中提取的社区需求量身定制的潜在适应策略的技术可行性。这项规划赠款的结果将为制定一个能够整合气候、水文、土地利用、气候变化和气候变化的空间明确的决策支持系统/社区适应计划奠定基础。和社会经济数据与定量模型,以帮助决策-决策者评估各种未来发展情景下的洪水风险,并建立一个知识库,可供经历快速城市化和气候变化威胁的其他地区使用。反映了NSF的法定使命,并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。
英文摘要
Located along the US-Mexico border in the southeastern corner of the state of Texas, the Rio Grande Valley (RGV), has long experienced major flooding due to its low-lying lands and proximity to the Gulf of Mexico. The flooding problem is rooted in a number of issues across the built, natural, and social environments, including rapid urbanization and associated increase in impervious cover as well as the prevalence of older developments that do not account for hydrology, and unincorporated communities known as colonias that are without drainage infrastructure. These typically low-lying communities, not ideal for residential development, have been home to thousands of families with deep social attachment to place. Despite multiple mitigation efforts by local authorities, the flooding problem persists. Because of future climate variability, flooding events like these are more likely and will continue to present challenges. A lack of a thorough resilience plan and an integrative decision support system to cope with natural and anthropogenic hazards, coupled with insufficient resources, have made the area more vulnerable, particularly to consecutive disasters. This study holistically approaches the flooding problem through convergence research that brings together community stakeholders and an interdisciplinary research team with the objective to develop a resilience roadmap focused on viable adaptation strategies. The project aims to be as inclusive as possible of the community by providing multiple opportunities for community participation in the project ranging from community forums, focus groups, and surveys.The goal of this planning grant is to establish a foundation for convergence and inclusive problem-solving across researchers, practitioners, and stakeholders through transdisciplinary research aimed at addressing complex problems from the lens of societal needs. This is to be achieved through various community data collection methods from residents and policymakers to collect data on their needs, challenges, priorities, flooding perceptions, and openness to adaptation strategies. Parallel to community survey, technical data related to flooding including morphology of the subsurface will be collected to facilitate analysis of technical feasibility of potential adaptation strategies tailored to community needs as extracted from stakeholder preference analysis. Results from this planning grant would form the foundation for development of a spatially-explicit decision support systems/community adaptation plan capable of integrating climate, hydrology, land use, and socioeconomic data with quantitative models to help decision-makers evaluate flood risks under various future development scenarios and establish a knowledge base that can be used by other regions experiencing rapid urbanization and climate change threats.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.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1080/23789689.2023.2180249
发表时间:
2023-03-03
期刊:
SUSTAINABLE AND RESILIENT INFRASTRUCTURE
影响因子:
5.9
作者:
[Ross,Ashley D., Nejat,Ali, Greb,Virgie]
通讯作者:
Greb,Virgie
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