RAPID/Collaborative Research: Data Collection on Wildfire Urban Interface (WUI) for Schools and Hospitals Following the 2018 California Camp Fire

RAPID/合作研究:2018 年加州营地火灾后学校和医院野火城市界面 (WUI) 的数据收集

基本信息

  • 批准号:
    1917316
  • 负责人:
  • 金额:
    $ 0.61万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-03-01 至 2020-02-29
  • 项目状态:
    已结题

项目摘要

This Rapid Response Research (RAPID) team is assessing the impact of the Camp wildfire on schools and hospitals in Paradise, CA. These evaluations will have important implications for understanding the effectiveness of mitigation practices. The outcomes of this research will include a database, recorded using the advanced technologies of the NSF-supported Natural Hazards Engineering Research Infrastructure (NHERI) Natural Hazards Reconnaissance Facility equipment, of the performance of schools and hospitals throughout the town of Paradise, California, the efficiency and effectiveness of sustainable Wildfire Urban Interface (WUI) mitigation practices, and the impact of damaged schools and hospitals on the surrounding region after the wildfire. The data collected from this investigation will be used to advance computational models for the predication of community performance in a WUI fire hazard, and post-event functionality rates. The results of this research will also enable decision-makers to better understand the impact of mitigation techniques and the holistic impact on a region due to damage in one town and will assist in planning and investments to reduce WUI fire vulnerability. This scientific research contribution thus supports NSF's mission to promote the progress of science and to advance our national welfare. In this case, the benefits will be insights to assist recovery after wildfires. In this RAPID project, the team will investigate the performance of wildfire mitigation techniques as they apply to schools and hospitals, and to qualitatively investigate the direct impacts of damage to Paradise schools and hospitals on the surrounding communities. The objectives of this project are to: (1) observe and document damage to schools and hospitals due to fire impacts of the Camp Fire in the town of Paradise, CA (2) document mitigation strategies for fire hazards implemented prior to the California Camp Fire, based on pre-fire mitigation plans regulated by Butte County and the town of Paradise, (3) qualitatively investigate the additional burden that damage to schools and hospitals in Paradise has on the networks of the surrounding regions, and (4) use the data collected from Paradise, California and the surrounding area to inform mitigation and better design criteria for communities located in regions vulnerable to fire hazards. The collected data will be used to establish a holistic performance of facilities that are critical to the recovery of a community after a disaster. The collected data will be archived and made publicly available in the NSF-supported NHERI Data Depot (https://www.designsafe-ci.org/). This project will train a graduate student and promote collaboration between U.S. colleagues working together on enhancing the resilience of communities with fire hazard risk. The findings of this project will be disseminated through a public webinar as well as podcasts on the NHERI web site (https://www.designsafe-ci.org).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.
这个快速响应研究(快速)团队正在评估野火营对加利福尼亚天堂的学校和医院的影响。这些评估将对理解缓解实践的有效性具有重要意义。 The outcomes of this research will include a database, recorded using the advanced technologies of the NSF-supported Natural Hazards Engineering Research Infrastructure (NHERI) Natural Hazards Reconnaissance Facility equipment, of the performance of schools and hospitals throughout the town of Paradise, California, the efficiency and effectiveness of sustainable Wildfire Urban Interface (WUI) mitigation practices, and the impact of damaged schools and hospitals on野火之后的周围地区。从本调查中收集的数据将用于推进计算模型,以预测WUI火灾危害中的社区绩效以及事后功能率。这项研究的结果还将使决策者能够更好地了解缓解技术的影响以及由于一个城镇损害而对地区的整体影响,并将有助于计划和投资减少WUI火灾脆弱性。因此,这项科学研究的贡献支持NSF促进科学进步并促进我们的民族福利的使命。在这种情况下,益处将是帮助野火后恢复的见解。在这个快速项目中,团队将调查野火缓解技术的表现,因为它们适用于学校和医院,并定性地研究对周围社区的天堂学校和医院的损害的直接影响。该项目的目标是:(1)观察并记录对学校和医院的损害,这是由于加利福尼亚州天堂镇上的大火影响(2)在加利福尼亚营地火灾之前实施的缓解火灾危害的文件,该策略是基于开火前的缓解计划,该计划受到了范围的损害,该县对纽约市的预期范围,并损害了范围,并损害了该镇的范围(3),(3)损害了(3),(3),(3)(3),(3)(3)损坏了(3)(3)(3),(3)周围地区以及(4)使用从加利福尼亚天堂和周边地区收集的数据为缓解措施和更好的设计标准提供了针对容易受到火灾危害的地区的社区的更好设计标准。收集的数据将用于建立设施的整体性能,这对于灾难发生后社区的恢复至关重要。收集的数据将在NSF支持的NHERI数据仓库(https://www.designsignsafe-ci.org/)中公开归档并公开可用。该项目将培训一名研究生,并促进美国同事之间的合作,共同提高具有火灾风险的社区的韧性。该项目的发现将通过公共网络研讨会以及NHERI网站(https://www.designsignsafe-ci.org)上的播客进行散布。这项奖项反映了NSF的法定任务,并被认为是通过基金会的知识优点和广泛影响的评估来评估的值得一提的。

项目成果

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Hussam Mahmoud其他文献

Entropy-based framework for optimal life-cycle management of multiple fatigue cracks in ship structures
  • DOI:
    10.1016/j.strusafe.2023.102379
  • 发表时间:
    2023-11-01
  • 期刊:
  • 影响因子:
  • 作者:
    Akshat Chulahwat;Hussam Mahmoud
  • 通讯作者:
    Hussam Mahmoud
Multi-resolution analysis of the SAC steel frames with RBS connections under fire
  • DOI:
    10.1016/j.firesaf.2018.04.008
  • 发表时间:
    2018-06-01
  • 期刊:
  • 影响因子:
  • 作者:
    Mehrdad Memari;Hussam Mahmoud
  • 通讯作者:
    Hussam Mahmoud
Small-Scale Airblast Testing for the Assessment of Multiple Perimeter Wall Barriers on Shock Wave Propagation
用于评估多个周界墙屏障对冲击波传播的小规模鼓风测试
Life-cycle analysis (LCA) to restore community building portfolios by building back better I: Building portfolio LCA
  • DOI:
    10.1016/j.strusafe.2019.101919
  • 发表时间:
    2020-05-01
  • 期刊:
  • 影响因子:
  • 作者:
    Yingjun Wang;Naiyu Wang;Peihui Lin;Bruce Ellingwood;Hussam Mahmoud
  • 通讯作者:
    Hussam Mahmoud
Hybrid Simulation Primer and Dictionary
混合仿真入门和词典
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Naruhito Nakata;S. Dyke;Jian Zhang;G. Mosqueda;X. Shao;Hussam Mahmoud;Monique Head;Michael Bletzinger;Gemez Marshall;Gaby Ou;Chenggang Song
  • 通讯作者:
    Chenggang Song

Hussam Mahmoud的其他文献

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