Hazards SEES Type 2: Modeling to Promote Regional Resilience to Repeated Heat Waves and Hurricanes

灾害 SEES 类型 2:建立模型以提高区域对反复出现的热浪和飓风的抵御能力

基本信息

项目摘要

Communities are interested in becoming more resilient to weather extremes but often lack the tools and resources to fully understand the problems and make good decisions. This lack of understanding is understandable given the complex and interrelated nature of the impacts from extreme events. Communities need to design solutions for infrastructure management, land use planning, public health, and emergency management, understanding how each is related to the other. In areas that are subject to repeated events, the problem is exacerbated. In this project, an interdisciplinary team of researchers will develop an integrated model, the Integrated Hazard, Impact, and Resilience Model to better understand the impacts of repeated hurricanes and heat waves on regional vulnerability and resilience and use the model to develop approaches for improving resilience to these repeated hazards. The team integrates expertise in individual and organizational behavior, economic modeling, climate science, infrastructure engineering, hazard modeling, public health, and spatial landscape analysis. The work on this project will be grounded in and integrated through systems modeling. The goal of the project is to significantly advance the understanding of the impacts from hurricanes and heat waves on the vulnerability and resilience of regions over time and the tools and resources available to help regions better prevent repeated hazards from becoming repeated disasters.The mid-Atlantic region will be the case study for this project, grounding the work in a critical region of the U.S., one that has a growing population facing increasing threats from weather extremes. The team will also have strong international collaborators, helping to make sure the work has broad applicability to other areas of the world. As part of this project, a set of undergraduates, masters, and doctoral students as well as postdoctoral scholars will be trained in trans-disciplinary hazards research and modeling. This cadre of students and researchers will form a critical resource for the nation, helping to improve regional resilience to repeated hurricanes and heat waves.
社区有兴趣提高对极端天气的适应能力,但往往缺乏充分了解问题和做出正确决策的工具和资源。考虑到极端事件影响的复杂性和相互关联性,这种缺乏了解是可以理解的。社区需要为基础设施管理、土地使用规划、公共卫生和应急管理设计解决方案,了解每一个问题如何相互关联。在反复发生事件的地区,问题更加严重。在该项目中,一个跨学科的研究人员团队将开发一个综合模型,即综合灾害,影响和复原力模型,以更好地了解反复发生的飓风和热浪对区域脆弱性和复原力的影响,并使用该模型来开发提高对这些反复发生的灾害的复原力的方法。该团队整合了个人和组织行为,经济建模,气候科学,基础设施工程,灾害建模,公共卫生和空间景观分析方面的专业知识。该项目的工作将通过系统建模进行整合。该项目的目标是显著提高对飓风和热浪的影响的理解随着时间的推移对脆弱性和恢复能力的地区和可用的工具和资源,以帮助地区更好地防止重复的灾害成为重复的灾害。大西洋中部地区将是该项目的案例研究,在美国的一个关键地区的基础工作,一个人口不断增长,面临极端天气威胁的国家。该团队还将拥有强大的国际合作者,帮助确保这项工作在世界其他地区具有广泛的适用性。作为该项目的一部分,一组本科生,硕士和博士生以及博士后学者将接受跨学科危害研究和建模的培训。这批学生和研究人员将成为国家的重要资源,有助于提高区域对反复发生的飓风和热浪的抵御能力。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Seth Guikema其他文献

Building Trees for Probabilistic Prediction via Scoring Rules
通过评分规则构建概率预测树
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    2.5
  • 作者:
    Sara Shashaani;O. Surer;Matthew Plumlee;Seth Guikema
  • 通讯作者:
    Seth Guikema
Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences
信任和值得信赖的人工智能:环境科学领域人工智能的研究议程
  • DOI:
    10.1111/risa.14245
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Ann Bostrom;J. Demuth;Christopher D. Wirz;Mariana G Cains;Andrea Schumacher;Deianna Madlambayan;A. S. Bansal;A. Bearth;Randy J. Chase;Katherine M. Crosman;I. Ebert‐Uphoff;D. Gagne;Seth Guikema;Robert Hoffman;Branden B Johnson;Christina Kumler;John D. Lee;Anna Lowe;Amy McGovern;Vanessa Przybylo;Jacob T Radford;Emilie Roth;Carly Sutter;Philippe Tissot;Paul Roebber;Jebb Q. Stewart;Miranda C. White;John K. Williams
  • 通讯作者:
    John K. Williams
Estimating pre-impact and post-impact evacuation behaviors – An empirical study of hurricane Ida in coastal Louisiana and Mississippi
评估影响前和影响后的疏散行为——对路易斯安那州沿海和密西西比州飓风艾达的实证研究
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    6.1
  • 作者:
    Jiayun Shen;Pamela M. Murray;Kris Wernstedt;Seth Guikema
  • 通讯作者:
    Seth Guikema
A proposal for including technical failure risk in market-based resource reallocation for spacecraft design
  • DOI:
    10.1016/j.ress.2006.03.002
  • 发表时间:
    2007-05-01
  • 期刊:
  • 影响因子:
  • 作者:
    Seth Guikema
  • 通讯作者:
    Seth Guikema
Power outage prediction using data streams: An adaptive ensemble learning approach with a feature‐ and performance‐based weighting mechanism
使用数据流进行断电预测:一种具有基于特征和性能的加权机制的自适应集成学习方法
  • DOI:
    10.1111/risa.14211
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Elnaz Kabir;Seth Guikema;S. Quiring
  • 通讯作者:
    S. Quiring

Seth Guikema的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Seth Guikema', 18)}}的其他基金

CRISP Type 2/Collaborative Research: Coordinated, Behaviorally-Aware Recovery for Transportation and Power Disruptions (CBAR-tpd)
CRISP 类型 2/合作研究:针对交通和电力中断的协调、行为感知恢复 (CBAR-tpd)
  • 批准号:
    1638197
  • 财政年份:
    2017
  • 资助金额:
    $ 206.63万
  • 项目类别:
    Standard Grant
Workshop/Collaborative Research: Interdisciplinary Methods for Disaster Research
研讨会/合作研究:灾害研究的跨学科方法
  • 批准号:
    1649879
  • 财政年份:
    2016
  • 资助金额:
    $ 206.63万
  • 项目类别:
    Standard Grant
CAREER: Integrated Modeling of Sustainability and Reliability for Interdependent Infrastructure Systems
职业:相互依赖的基础设施系统的可持续性和可靠性集成建模
  • 批准号:
    1621116
  • 财政年份:
    2015
  • 资助金额:
    $ 206.63万
  • 项目类别:
    Standard Grant
A Sensitivity Approach to Assessing Model Uncertainty for Stochastic Systems
评估随机系统模型不确定性的灵敏度方法
  • 批准号:
    1542020
  • 财政年份:
    2015
  • 资助金额:
    $ 206.63万
  • 项目类别:
    Standard Grant
Hazards SEES Type 2: Modeling to Promote Regional Resilience to Repeated Heat Waves and Hurricanes
灾害 SEES 类型 2:建立模型以提高区域对反复出现的热浪和飓风的抵御能力
  • 批准号:
    1331399
  • 财政年份:
    2013
  • 资助金额:
    $ 206.63万
  • 项目类别:
    Continuing Grant
CAREER: Integrated Modeling of Sustainability and Reliability for Interdependent Infrastructure Systems
职业:相互依赖的基础设施系统的可持续性和可靠性集成建模
  • 批准号:
    1149460
  • 财政年份:
    2012
  • 资助金额:
    $ 206.63万
  • 项目类别:
    Standard Grant
Drinking Water Distribution System Management Incorporating Health and Asset Risk
纳入健康和资产风险的饮用水分配系统管理
  • 批准号:
    1031046
  • 财政年份:
    2010
  • 资助金额:
    $ 206.63万
  • 项目类别:
    Standard Grant
Multi-Scale Modeling of Interdependent Critical Infrastructure System Performance During Hurricanes
飓风期间相互依赖的关键基础设施系统性能的多尺度建模
  • 批准号:
    0968711
  • 财政年份:
    2010
  • 资助金额:
    $ 206.63万
  • 项目类别:
    Standard Grant

相似海外基金

Hazards SEES Type 2: From Sensors to Tweeters: A Sustainable Sociotechnical Approach for Detecting, Mitigating, and Building Resilience to Hazards
危害 SEES 类型 2:从传感器到高音扬声器:用于检测、缓解和增强危害抵御能力的可持续社会技术方法
  • 批准号:
    1331463
  • 财政年份:
    2013
  • 资助金额:
    $ 206.63万
  • 项目类别:
    Continuing Grant
Hazards SEES Type 2: Hazard Prediction and Communication Dynamics in the Modern Information Environment
危害 SEES 类型 2:现代信息环境中的危害预测和沟通动态
  • 批准号:
    1331490
  • 财政年份:
    2013
  • 资助金额:
    $ 206.63万
  • 项目类别:
    Continuing Grant
Hazards SEES Type 2: Next Generation, Resilient Warning Systems for Tornados and Flash Floods
危害 SEES 类型 2:针对龙卷风和山洪的下一代弹性预警系统
  • 批准号:
    1331572
  • 财政年份:
    2013
  • 资助金额:
    $ 206.63万
  • 项目类别:
    Continuing Grant
Hazards SEES Type 2: Magnitude 9 Earthquake Scenarios - Probabilistic Modeling, Warnings, Response and Resilience in the Pacific Northwest
灾害 SEES 2 类:9 级地震情景 - 太平洋西北地区的概率建模、警告、响应和复原力
  • 批准号:
    1331412
  • 财政年份:
    2013
  • 资助金额:
    $ 206.63万
  • 项目类别:
    Continuing Grant
Hazards SEES Type 2: Preventing Flood Hazards from Becoming Disasters through Two-Way Communication of Parcel-Level Flood Risk
灾害 SEES 类型 2:通过地块级洪水风险的双向沟通​​,防止洪水灾害演变成灾难
  • 批准号:
    1331611
  • 财政年份:
    2013
  • 资助金额:
    $ 206.63万
  • 项目类别:
    Continuing Grant
Hazards SEES Type 2: WIFIRE: A Scalable Data-Driven Monitoring, Dynamic Prediction and Resilience Cyberinfrastructure for Wildfires
Hazards SEES 类型 2:WIFIRE:可扩展的数据驱动型野火监控、动态预测和弹性网络基础设施
  • 批准号:
    1331615
  • 财政年份:
    2013
  • 资助金额:
    $ 206.63万
  • 项目类别:
    Continuing Grant
Hazards SEES Type 2: Modeling to Promote Regional Resilience to Repeated Heat Waves and Hurricanes
灾害 SEES 类型 2:建立模型以提高区域对反复出现的热浪和飓风的抵御能力
  • 批准号:
    1331399
  • 财政年份:
    2013
  • 资助金额:
    $ 206.63万
  • 项目类别:
    Continuing Grant
Hazards SEES Type 1: Real-Time Geospatial Infrastructure Modeling for Disaster Response and Rapid Recovery
危害 SEES 类型 1:用于灾难响应和快速恢复的实时地理空间基础设施建模
  • 批准号:
    1331520
  • 财政年份:
    2013
  • 资助金额:
    $ 206.63万
  • 项目类别:
    Standard Grant
Hazards SEES Type 1: End-to-End Development of Time-Dependent Geo-targeted Alerts and Warnings Enabled by Dense Observations of the 2011 Tohoku Tsunami
危害 SEES 类型 1:通过对 2011 年东北海啸的密集观测实现依赖时间的地理目标警报和警告的端到端开发
  • 批准号:
    1331600
  • 财政年份:
    2013
  • 资助金额:
    $ 206.63万
  • 项目类别:
    Standard Grant
Hazards SEES Type 2: Dynamic Integration of Natural, Human, and Infrastructure Systems for Hurricane Evacuation and Sheltering
灾害 SEES 类型 2:飓风疏散和庇护的自然、人类和基础设施系统的动态整合
  • 批准号:
    1331269
  • 财政年份:
    2013
  • 资助金额:
    $ 206.63万
  • 项目类别:
    Continuing Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了