SGER: Benchmarking Urban and Structural Vulnerability in the Aftermath of the 2007 California Wildfires, Using Advanced Technology-based Data Collection
SGER: Benchmarking Urban and Structural Vulnerability in the Aftermath of the 2007 California Wildfires, Using Advanced Technology-based Data Collection
批准号:
0806874
负责人:
Ronald Eguchi
金额:
$0.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-01-15 至 2008-12-31
中文摘要
这项探索性研究(SGER)项目的目的是收集一个基准的灾后易腐野火损害特征和脆弱性因素数据集,以支持研究调查:(1)野火缓解策略的有效性;(2)野火后恢复特征的测量、监测和评价方法。大多数关于野火的研究都集中在自然环境下的野火建模,而不是城市环境。迫切需要进行研究,以便更好地了解防火带等环境缓解因素和包括“就地避难”在内的有计划的干预战略的重要性,以增强易发火灾社区的复原力。最近的加州野火为调查和量化影响恢复模式和恢复力的因素提供了一个独特的机会。先进的技术、互联网资源和应答者访谈将用于开发时间关键的灾后数据集,记录破坏特征和影响城市和结构脆弱性的潜在因素。这些数据将用于调查野火区域内城市地区、社区和个别结构的性能如何变化,缓解因素对城市地区和结构对野火破坏的脆弱性的影响,以及将缓解做法纳入恢复过程。本研究采用一种新颖的空间分层方法,采用一种独特的方法,涉及未充分利用的先进技术,汇编和归档表征野火损害和脆弱性因素的易腐数据。本次SGER将研究的技术驱动方法,以及后续研究活动的结果,在提高易发火灾社区的恢复能力方面具有巨大潜力。加强对城市地区、社区和个体结构在野火区域内的性能变化以及影响其对野火破坏的长期恢复能力的因素的了解,将带来许多实际的社会效益。政府、政策制定者和地方组织可以应用研究结果来检查现有的野火缓解战略,完善支持未来应对工作的计划和行动,改进事件期间的决策,并制定恢复战略。此外,通过增强对野火脆弱性的现有认识,该项目将推进最先进的野火研究。
英文摘要
The purpose of this Small Grant for Exploratory Research (SGER) project is to collect a benchmark post-disaster dataset perishable wildfire damage signatures and vulnerability factors, in order to support research investigating: (1) the efficacy of wildfire mitigation strategies; and (2) methods for measuring, monitoring and evaluating characteristics of post-wildfire recovery. Most research on wildfires has focused on modeling wildfire in natural settings rather than the urban environment. Research is urgently needed to better understand the importance of environmental mitigation factors such as fire breaks and planned intervention strategies including "shelter in place" for enhancing the resilience of fire-prone communities. The recent California wildfires present a unique opportunity to investigate and quantify elements that influence recovery patterns and resilience. Advanced technologies, internet resources and responder interviews will be used to develop time-critical post-disaster datasets, documenting damage characteristics and potential factors affecting urban and structural vulnerability. These data will be used to investigate how the performance of urban areas, neighborhoods and individual structures varies within the wildfire zones, the influence of mitigation factors on vulnerability of urban areas and structures to wildfire devastation and the integration of mitigation practices into the recovery process. This research employs a novel spatially-tiered approach to compile and archive perishable data characterizing wildfire damage and vulnerability factors, employing a unique methodology involving underutilized advanced technologies.The technology-driven methods that will be investigated through this SGER, together with the findings from subsequent research activities, have immense potential for improving the resilience of fire-prone communities. Enhancing the knowledge of how the performance of urban areas, neighborhoods and individual structures varies within wildfire zones and the factors that affect their long term resilience to wildfire devastation, will bring many practical societal benefits. Governments, policy makers, and local organizations can apply findings to examine existing wildfire mitigation strategies, refine plans for and actions supporting future response efforts, improve their decisions during events, and plan recovery strategies. Further, by augmenting existing understanding of wildfire vulnerability, the project will advance the state-of-the-art in wildfire studies.
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