PREEVENTS Track 2: Collaborative Research: Geomorphic Versus Climatic Drivers of Changing Coastal Flood Risk

预防事件轨道 2:协作研究:变化的沿海洪水风险的地貌与气候驱动因素

基本信息

  • 批准号:
    1854773
  • 负责人:
  • 金额:
    $ 26.81万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-06-01 至 2024-05-31
  • 项目状态:
    已结题

项目摘要

Coastal flooding is one of the most dangerous and damaging natural hazards that societies face, and coastal development and climate change are causing a dramatic rise in vulnerability. Since the 19th century, estuary channels have typically been deepened and widened by a factor of two or three, harbor entrances have been deepened and streamlined, and a large proportion of wetlands have been filled over and replaced with neighborhoods. Such geomorphic changes increase flood risk by reducing natural resistance to storm surge and tides. Similarly, sea level rise and climate-modulated variations in storm characteristics such as intensity, size and track path also alter flood risk. The overarching goal of the proposed research project is to reveal and contrast the mechanisms by which these geomorphic and climatic changes alter flood risk. This goal will be met using a combination of computational modeling, historical climate and storm surge data analysis, and theory-based synthesis. The study will provide support for a postdoctoral research associate and several graduate students and undergraduates, including underrepresented groups. It will improve the well-being of communities within urbanized harbors and estuaries by highlighting coastal development practices that can worsen coastal flooding. The project plan increases scientific literacy and engagement, and connects the research to applications through interactions with local stakeholders and governments, as well as the US Geological Survey and the US Army Corps of Engineers.The project will improve the understanding and separation of climatic and geomorphic factors in coastal flooding through several elements of novel research and technical innovation. The investigators will use a unique tide-gauge data set that extends back to the 19th century together with contemporary, retrospective, and idealized hydrodynamic models to elucidate system sensitivities. Well-known, simplified insights into tidal dynamics will be tested for storm surge, then used to help interpret how altered local topography, bathymetry and wetland area have changed frictional damping and long-wave mechanics. A combined analysis of climate, storm characteristics, and morphologic change will identify the modes and pathways through which climate variability and bathymetric change modulate storms surges. Advanced non-stationary univariate and multivariate statistical models will be developed and employed to incorporate these changes and assess how statistical properties relevant for coastal design and risk assessments respond. A flood model inter-comparison workshop will help quantify relevant modeling sensitivities, which will help to improve estuary and floodplain predictions for the academic and operational forecasting community.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.
沿海洪水是社会面临的最危险和最具破坏性的自然灾害之一,沿海开发和气候变化正在导致脆弱性急剧上升。 自 19 世纪以来,河口航道通常加深和加宽了两到三倍,港口入口加深和精简,大部分湿地被填满并被社区取代。 这种地貌变化降低了对风暴潮和潮汐的自然抵抗力,从而增加了洪水风险。 同样,海平面上升和风暴特征(例如强度、规模和路径)的气候调节变化也会改变洪水风险。 拟议研究项目的总体目标是揭示和对比这些地貌和气候变化改变洪水风险的机制。 这一目标将通过计算建模、历史气候和风暴潮数据分析以及基于理论的综合的结合来实现。 该研究将为一名博士后研究员以及几名研究生和本科生(包括代表性不足的群体)提供支持。 它将通过强调可能加剧沿海洪水的沿海开发实践来改善城市化港口和河口内社区的福祉。 该项目计划提高科学素养和参与度,并通过与当地利益相关者和政府以及美国地质调查局和美国陆军工程兵团的互动将研究与应用联系起来。该项目将增进对气候和地貌的理解和分离通过新颖的研究和技术创新的几个要素来研究沿海洪水的影响因素。 研究人员将使用可追溯到 19 世纪的独特验潮数据集以及当代、回顾性和理想化的流体动力学模型来阐明系统敏感性。 众所周知,对潮汐动力学的简化见解将针对风暴潮进行测试,然后用于帮助解释当地地形、测深和湿地面积的变化如何改变了摩擦阻尼和长波力学。 对气候、风暴特征和形态变化的综合分析将确定气候变化和水深变化调节风暴潮的模式和途径。 将开发和采用先进的非平稳单变量和多元统计模型来纳入这些变化,并评估与沿海设计​​和风险评估相关的统计特性如何响应。 洪水模型相互比较研讨会将有助于量化相关模型的敏感性,这将有助于改善学术和业务预测界的河口和洪泛区预测。该奖项反映了 NSF 的法定使命,并通过使用基金会的知识进行评估,被认为值得支持。优点和更广泛的影响审查标准。

项目成果

期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Tropical cyclone storm surge probabilities for the east coast of the United States: a cyclone-based perspective
美国东海岸热带气旋风暴潮概率:基于气旋的视角
  • DOI:
    10.5194/nhess-22-1287-2022
  • 发表时间:
    2022-01
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    Towey, Katherine L.;Booth, James F.;Rodriguez Enriquez, Alejandra;Wahl, Thomas
  • 通讯作者:
    Wahl, Thomas
Predictable Changes in Extreme Sea Levels and Coastal Flood Risk Due To Long‐Term Tidal Cycles
长期潮汐周期导致的极端海平面和沿海洪水风险的可预测变化
  • DOI:
    10.1029/2021jc018157
  • 发表时间:
    2022-03
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Enríquez, Alejandra R.;Wahl, Thomas;Baranes, Hannah E.;Talke, Stefan A.;Orton, Philip M.;Booth, James F.;Haigh, Ivan D.
  • 通讯作者:
    Haigh, Ivan D.
Storm Surge, Blocking, and Cyclones: A Compound Hazards Analysis for the Northeast United States
风暴潮、阻塞和旋风:美国东北部的复合灾害分析
  • DOI:
    10.1175/jamc-d-21-0062.1
  • 发表时间:
    2021-10
  • 期刊:
  • 影响因子:
    3
  • 作者:
    Booth, James F.;Narinesingh, Veeshan;Towey, Katherine L.;Jeyaratnam, Jeyavinoth
  • 通讯作者:
    Jeyaratnam, Jeyavinoth
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James Booth其他文献

New York City Panel on Climate Change 2019 Report Chapter 2: New Methods for Assessing Extreme Temperatures, Heavy Downpours, and Drought
纽约市气候变化专门委员会 2019 年报告第 2 章:评估极端气温、暴雨和干旱的新方法
  • DOI:
    10.1111/nyas.14007
  • 发表时间:
    2019-03-01
  • 期刊:
  • 影响因子:
    5.2
  • 作者:
    Jorge E. González;Luis Ortiz;Brian Smith;N. Devineni;B. Colle;James Booth;Arun Ravindranath;Lea
  • 通讯作者:
    Lea
MAGMa: Your Comprehensive Tool for Differential Expression Analysis in Mass-Spectrometry Proteomic Data
MAGMa:质谱蛋白质组数据差异表达分析的综合工具
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Shagun Gupta;Jin Joo Kang;Yu Sun;Yugandhar Kumar;Mateusz Wagner;W. Comstock;James Booth;Marcus B Smolka;Haiyuan Yu
  • 通讯作者:
    Haiyuan Yu
Fasciclin I and II have distinct roles in the development of grasshopper pioneer neurons
Fasciclin I 和 II 在蚱蜢先锋神经元的发育中具有不同的作用
  • DOI:
    10.1016/0896-6273(93)90146-i
  • 发表时间:
    1993-09-01
  • 期刊:
  • 影响因子:
    16.2
  • 作者:
    Paul Diamond;A. Mallavarapu;Jeffrey Schnipper;James Booth;D. Jay
  • 通讯作者:
    D. Jay
New York City Panel on Climate Change 2019 Report Chapter 4: Coastal Flooding
纽约市气候变化专门委员会 2019 年报告第 4 章:沿海洪水
  • DOI:
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    5.2
  • 作者:
    P. Orton;N. Lin;V. Gornitz;B. Colle;James Booth;Kairui Feng;M. Buchanan;M. Oppenheimer;L. Patrick
  • 通讯作者:
    L. Patrick

James Booth的其他文献

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{{ truncateString('James Booth', 18)}}的其他基金

Collaborative Research: NSF/SBE-BSF: The neural mechanisms of language transfer to morphological learning
合作研究:NSF/SBE-BSF:语言迁移到形态学习的神经机制
  • 批准号:
    1753626
  • 财政年份:
    2018
  • 资助金额:
    $ 26.81万
  • 项目类别:
    Standard Grant
Collaborative proposal: Variable Selection in the high dimensional, low sample size setting -- Beyond the Linear Regression and Normal Errors Model
协作提案:高维、低样本量设置中的变量选择——超越线性回归和正态误差模型
  • 批准号:
    1611893
  • 财政年份:
    2016
  • 资助金额:
    $ 26.81万
  • 项目类别:
    Standard Grant
Interactive-specialization of language development
语言发展的互动专业化
  • 批准号:
    1358794
  • 财政年份:
    2014
  • 资助金额:
    $ 26.81万
  • 项目类别:
    Standard Grant
Interactive-specialization of language development
语言发展的互动专业化
  • 批准号:
    1519005
  • 财政年份:
    2014
  • 资助金额:
    $ 26.81万
  • 项目类别:
    Standard Grant
Models and Computational Strategies in Statistical Bioinformatics
统计生物信息学中的模型和计算策略
  • 批准号:
    1208488
  • 财政年份:
    2012
  • 资助金额:
    $ 26.81万
  • 项目类别:
    Continuing Grant
Applications and Computational Issues Involving Generalized Linear and Mixed Models
涉及广义线性和混合模型的应用和计算问题
  • 批准号:
    0805865
  • 财政年份:
    2008
  • 资助金额:
    $ 26.81万
  • 项目类别:
    Standard Grant
NSF/CBMS Regional Conference in the Mathematical Sciences -Generalized Linear Mixed Models and Related Topics - June 8-12,1999
NSF/CBMS 数学科学区域会议 - 广义线性混合模型及相关主题 - 1999 年 6 月 8 日至 12 日
  • 批准号:
    9813374
  • 财政年份:
    1999
  • 资助金额:
    $ 26.81万
  • 项目类别:
    Standard Grant
Mathematical Sciences: Some New Bootstrap Methods for SampleSurveys
数学科学:样本调查的一些新的 Bootstrap 方法
  • 批准号:
    9308373
  • 财政年份:
    1993
  • 资助金额:
    $ 26.81万
  • 项目类别:
    Standard Grant
Support Services for Research Information Processing and Dissemination Programs
研究信息处理和传播计划的支持服务
  • 批准号:
    8020049
  • 财政年份:
    1980
  • 资助金额:
    $ 26.81万
  • 项目类别:
    Contract

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基础学科拔尖学生发展及其影响机制的追踪研究
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相似海外基金

PREEVENTS: Track 2: Collaborative Research: Defining precursors of ground failure: a multiscale framework for early landslide prediction through geomechanics and remote sensing
预防措施:轨道 2:协作研究:定义地面破坏的前兆:通过地质力学和遥感进行早期滑坡预测的多尺度框架
  • 批准号:
    2023112
  • 财政年份:
    2020
  • 资助金额:
    $ 26.81万
  • 项目类别:
    Continuing Grant
PREEVENTS Track 2: Collaborative Research: Flash droughts: process, prediction, and the central role of vegetation in their evolution
预防事件轨道 2:合作研究:突发干旱:过程、预测以及植被在其演化中的核心作用
  • 批准号:
    1854902
  • 财政年份:
    2019
  • 资助金额:
    $ 26.81万
  • 项目类别:
    Continuing Grant
PREEVENTS Track 2: Collaborative Research: Multi-scale processes impacting the predictability of severe convective weather events
预防事件轨道 2:协作研究:影响强对流天气事件可预测性的多尺度过程
  • 批准号:
    1854886
  • 财政年份:
    2019
  • 资助金额:
    $ 26.81万
  • 项目类别:
    Continuing Grant
PREEVENTS Track 2: Collaborative Research: Defining precursors of ground failure: a multiscale framework for early landslide prediction through geomechanics and remote sensing
预防事件轨道 2:协作研究:定义地面破坏的前兆:通过地质力学和遥感进行早期滑坡预测的多尺度框架
  • 批准号:
    1854951
  • 财政年份:
    2019
  • 资助金额:
    $ 26.81万
  • 项目类别:
    Continuing Grant
PREEVENTS Track 2: Collaborative Research: Flash droughts: process, prediction, and the central role of vegetation in their evolution.
预防事件轨道 2:合作研究:突发干旱:过程、预测以及植被在其演化中的核心作用。
  • 批准号:
    1854945
  • 财政年份:
    2019
  • 资助金额:
    $ 26.81万
  • 项目类别:
    Continuing Grant
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