A Novel Probabilistic Flood Modelling Framework to Improve Infrastructure Resilience

提高基础设施弹性的新型概率洪水建模框架

基本信息

  • 批准号:
    517998-2017
  • 负责人:
  • 金额:
    $ 1.82万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Engage Grants Program
  • 财政年份:
    2017
  • 资助国家:
    加拿大
  • 起止时间:
    2017-01-01 至 2018-12-31
  • 项目状态:
    已结题

项目摘要

Flooding, as a major natural disaster worldwide, threatens human lives and causes billions of dollars in damageeach year. Accurate flood risk assessment, through proper representation of flood hazard, vulnerability andexposure, is crucial for the design, planning and management of societies and infrastructure. This project willdevelop a novel probabilistic flood modelling framework for accurate and precise estimation of floodcharacteristics (i.e. flood volume, extent, depth, velocity, time to peak, among others) which, coupled with therisk assessment package developed by RiskLogik, will be used to generate resilience plans for criticalinfrastructure. The proposed framework will provide a single most reliable estimate of flood characteristics thatis suitable for risk and resilience assessment, and will quantify uncertainties in hydrologic and hydrodynamicmodelling, flow hydrographs, parameters, and topographic data. The project will investigate an innovativeextreme value approach that does not require threshold selection for flood estimation, and will propose amulti-objective performance measure for model optimization. The integrated framework (flood modelintegrated with RiskLogik's software) will systematically assess the vulnerability of critical infrastructure toflood risks in Canada and around the globe and evaluate/generate resilience plans. There will be considerableeconomic, social and environmental benefits for municipalities and other stakeholders in Canada and aroundthe globe through the development of flood mitigation strategies using this framework.
洪水是全球主要的自然灾害,威胁着人类的生命,并在损害年中造成数十亿美元。准确的洪水风险评估,通过适当代表洪水危害,脆弱性和暴露,对于社会和基础设施的设计,计划和管理至关重要。该项目将开发一个新型的概率洪水建模框架,以准确和精确的洪水范围估计(即洪水量,范围,深度,速度,速度,峰值的时间等),再加上风险洛吉克开发的Therisk评估套件,可用于为关键的Frastructure产生弹性计划。所提出的框架将提供适合风险和弹性评估的洪水特征的最可靠的估计,并将量化水文和流体动力学,流水文,参数和地形数据的不确定性。该项目将调查不需要阈值估算阈值的创新效果值方法,并将提出Amulti-Obigntive性能度量以进行模型优化。综合框架(使用BighogoGik的软件集成的洪水模型集成)将系统地评估加拿大和全球关键基础设施风险风险的脆弱性,并评估/生成弹性计划。通过使用此框架制定缓解洪水的策略,将对加拿大和地球的其他利益相关者以及环球中的其他利益相关者和其他利益相关者产生可观的经济,社会和环境利益。

项目成果

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Najafi, MohammadReza其他文献

Najafi, MohammadReza的其他文献

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{{ truncateString('Najafi, MohammadReza', 18)}}的其他基金

Improved Characterization of Hydroclimatic Extremes through the Development of a Comprehensive Nonstationary Modelling Framework
通过开发综合非平稳建模框架改进极端水文气候特征
  • 批准号:
    RGPIN-2017-05558
  • 财政年份:
    2022
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Improved Characterization of Hydroclimatic Extremes through the Development of a Comprehensive Nonstationary Modelling Framework
通过开发综合非平稳建模框架改进极端水文气候特征
  • 批准号:
    RGPIN-2017-05558
  • 财政年份:
    2021
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
An Integrated Risk Assessment Framework for Compound Flooding in Canadian Urban Environments
加拿大城市环境复合洪水综合风险评估框架
  • 批准号:
    556285-2020
  • 财政年份:
    2021
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Alliance Grants
Improved Characterization of Hydroclimatic Extremes through the Development of a Comprehensive Nonstationary Modelling Framework
通过开发综合非平稳建模框架改进极端水文气候特征
  • 批准号:
    RGPIN-2017-05558
  • 财政年份:
    2020
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
An Integrated Risk Assessment Framework for Compound Flooding in Canadian Urban Environments
加拿大城市环境复合洪水综合风险评估框架
  • 批准号:
    556285-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Alliance Grants
An integrated top-down and bottom-up approach to assess and mitigate river flood risks under climate and land-use change
采用自上而下和自下而上的综合方法来评估和减轻气候和土地利用变化下的河流洪水风险
  • 批准号:
    523924-2018
  • 财政年份:
    2019
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Collaborative Research and Development Grants
Improved Characterization of Hydroclimatic Extremes through the Development of a Comprehensive Nonstationary Modelling Framework
通过开发综合非平稳建模框架改进极端水文气候特征
  • 批准号:
    RGPIN-2017-05558
  • 财政年份:
    2019
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Probabilistic bias adjustment of remotely sensed quantitative precipitation estimations to improve urban flood risk assessments in southern Canada
遥感定量降水估计的概率偏差调整以改进加拿大南部城市洪水风险评估
  • 批准号:
    538219-2019
  • 财政年份:
    2019
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Engage Grants Program
An integrated top-down and bottom-up approach to assess and mitigate river flood risks under climate and land-use change
采用自上而下和自下而上的综合方法来评估和减轻气候和土地利用变化下的河流洪水风险
  • 批准号:
    523924-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Collaborative Research and Development Grants
Improved Characterization of Hydroclimatic Extremes through the Development of a Comprehensive Nonstationary Modelling Framework
通过开发综合非平稳建模框架改进极端水文气候特征
  • 批准号:
    RGPIN-2017-05558
  • 财政年份:
    2018
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual

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基于耦合模拟的洪水与滑坡灾害概率预报及综合风险评估研究
  • 批准号:
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  • 资助金额:
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基于耦合模拟的洪水与滑坡灾害概率预报及综合风险评估研究
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淮河流域洪水概率预报与多源不确定性响应机制研究
  • 批准号:
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    2021
  • 资助金额:
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英国下一代概率洪水预报系统
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  • 项目类别:
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  • 批准号:
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遥感定量降水估计的概率偏差调整以改进加拿大南部城市洪水风险评估
  • 批准号:
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    $ 1.82万
  • 项目类别:
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