Integrated urban flooding analyses with GIS and hydraulic models

利用 GIS 和水力模型进行综合城市洪水分析

基本信息

  • 批准号:
    544511-2019
  • 负责人:
  • 金额:
    $ 0.91万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Engage Plus Grants Program
  • 财政年份:
    2019
  • 资助国家:
    加拿大
  • 起止时间:
    2019-01-01 至 2020-12-31
  • 项目状态:
    已结题

项目摘要

In Canada, urban flooding is a reoccurring disaster. In order to provide insightful urban flooding assessment,the project collaborates with Esri Canada to create an integrated hydraulic-GIS model. Current Esri solutionslack strong hydraulic flood analysis tools. The open source software package Hydrologic EngineeringCenter-River Analysis System (HEC-RAS) developed by the U.S. Army Corps of Engineers (USACE) is awidely used hydraulic model. This project centres on a partnership with Esri Canada to sustain and enhance thecombined use of ArcGIS and HEC-RAS software with a focus on 2D urban pluvial flood modelling. In 2014,HEC-RAS announced and released its new HEC-RAS version 5.0 with 2D capabilities, enabling theapplication of HEC-RAS in urban environments. However, such applications are still limited, probably due tothe lack of direct consideration of urban infrastructure (e.g. buildings and roads, etc.) within the HEC-RASmodelling environment. Fortunately, these urban elements can be considered as certain characteristics (e.g.roughness and impervious percentage) of the watershed. This research aims to create an ArcGIS Pro toolbox toprepare these urban elements to HEC-RAS-known characteristics. On the other hand, the results, includingwater depth and water velocity, derived from the HEC-RAS can be used as inputs and analyzed in ArcGIS Pro.Overlaying the water depth/velocity with flood vulnerability maps will enhance our understanding of the risksfaced by specific communities. The desired spatial statistical techniques for the application described abovecan be realized through the R-ArcGIS Bridge, which allows data to be transmit between ArcGIS and R codewithout the need for data export and re-import for vulnerability and other mapping outputs. The final resultsfrom this project will be integrated into Esri desktop and Web services, to evaluate scientifically urban floodinghazards based on locational data.
在加拿大,城市洪水是一场反复发生的灾难。为了提供富有洞察力的城市洪水评估,该项目与 Esri Canada 合作创建了一个集成的水力 GIS 模型。当前的 Esri 解决方案缺乏强大的水力洪水分析工具。美国陆军工程兵团 (USACE) 开发的开源软件包 Hydrologic EngineeringCenter-River Analysis System (HEC-RAS) 是广泛使用的水力模型。该项目以与 Esri Canada 的合作为中心,以维持和增强 ArcGIS 和 HEC-RAS 软件的组合使用,重点是二维城市雨洪建模。 2014年,HEC-RAS宣布并发布了具有2D功能的新HEC-RAS版本5.0,使HEC-RAS能够在城市环境中应用。然而,此类应用仍然受到限制,可能是由于 HEC-RAS 建模环境中缺乏对城市基础设施(例如建筑物和道路等)的直接考虑。幸运的是,这些城市元素可以被视为流域的某些特征(例如粗糙度和不透水百分比)。本研究旨在创建一个 ArcGIS Pro 工具箱,以将这些城市元素准备为 HEC-RAS 已知特征。另一方面,从 HEC-RAS 得出的结果(包括水深和水流速度)可用作 ArcGIS Pro 中的输入和分析。将水深/速度与洪水脆弱性地图叠加将增强我们对特定社区面临的风险的了解。上述应用程序所需的空间统计技术可以通过 R-ArcGIS Bridge 实现,它允许数据在 ArcGIS 和 R 代码之间传输,而无需针对漏洞和其他映射输出进行数据导出和重新导入。该项目的最终结果将集成到 Esri 桌面和 Web 服务中,以根据位置数据科学地评估城市洪水灾害。

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)

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Wang, Jinfei其他文献

An Evaluation System for Building Footprint Extraction From Remotely Sensed Data
Temperature-electric field hysteresis loop of electrocaloric effect in ferroelectricity-Direct measurement and analysis of electrocaloric effect. I
  • DOI:
    10.1063/1.4801997
  • 发表时间:
    2013-04-15
  • 期刊:
  • 影响因子:
    4
  • 作者:
    Wang, Jinfei;Yang, Tongqing;Yao, Xi
  • 通讯作者:
    Yao, Xi
Application of polarization signature to land cover scattering mechanism analysis and classification using multi-temporal C-band polarimetric RADARSAT-2 imagery
  • DOI:
    10.1016/j.rse.2017.02.014
  • 发表时间:
    2017-05-01
  • 期刊:
  • 影响因子:
    13.5
  • 作者:
    Huang, Xiaodong;Wang, Jinfei;Liu, Jiangui
  • 通讯作者:
    Liu, Jiangui
Assessing the Options to Improve Regional Wheat Yield in Eastern Canada Using the CSM-CERES-Wheat Model
  • DOI:
    10.2134/agronj2016.06.0364
  • 发表时间:
    2017-03-01
  • 期刊:
  • 影响因子:
    2.1
  • 作者:
    Jing, Qi;Qian, Budong;Wang, Jinfei
  • 通讯作者:
    Wang, Jinfei
Using Linear Regression, Random Forests, and Support Vector Machine with Unmanned Aerial Vehicle Multispectral Images to Predict Canopy Nitrogen Weight in Corn
  • DOI:
    10.3390/rs12132071
  • 发表时间:
    2020-07-01
  • 期刊:
  • 影响因子:
    5
  • 作者:
    Lee, Hwang;Wang, Jinfei;Leblon, Brigitte
  • 通讯作者:
    Leblon, Brigitte

Wang, Jinfei的其他文献

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{{ truncateString('Wang, Jinfei', 18)}}的其他基金

Remote Sensing for Agriculture using UAV and Satellite data with Machine Learning
使用无人机和卫星数据与机器学习进行农业遥感
  • 批准号:
    RGPIN-2022-05051
  • 财政年份:
    2022
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Discovery Grants Program - Individual
Information Extraction of Urban Environments with Remotely Sensed Data
利用遥感数据提取城市环境信息
  • 批准号:
    RGPIN-2016-04741
  • 财政年份:
    2021
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Discovery Grants Program - Individual
Information Extraction of Urban Environments with Remotely Sensed Data
利用遥感数据提取城市环境信息
  • 批准号:
    RGPIN-2016-04741
  • 财政年份:
    2020
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Discovery Grants Program - Individual
Information Extraction of Urban Environments with Remotely Sensed Data
利用遥感数据提取城市环境信息
  • 批准号:
    RGPIN-2016-04741
  • 财政年份:
    2019
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Discovery Grants Program - Individual
Information Extraction of Urban Environments with Remotely Sensed Data
利用遥感数据提取城市环境信息
  • 批准号:
    RGPIN-2016-04741
  • 财政年份:
    2018
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Discovery Grants Program - Individual
Integrated hydraulic-GIS model for pluvial urban flooding risk analysis
城市洪水风险分析的综合水力-GIS模型
  • 批准号:
    528363-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Engage Grants Program
Information Extraction of Urban Environments with Remotely Sensed Data
利用遥感数据提取城市环境信息
  • 批准号:
    RGPIN-2016-04741
  • 财政年份:
    2017
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Discovery Grants Program - Individual
Information Extraction of Urban Environments with Remotely Sensed Data
利用遥感数据提取城市环境信息
  • 批准号:
    RGPIN-2016-04741
  • 财政年份:
    2016
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Discovery Grants Program - Individual
Remote Sensing of Land Surface Information for Environmental Applications
用于环境应用的地表信息遥感
  • 批准号:
    RGPIN-2015-06453
  • 财政年份:
    2015
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Discovery Grants Program - Individual
Models for crop yield estimation using multi-temporal UAV-based remote sensing imagery
使用基于多时相无人机的遥感图像进行作物产量估算的模型
  • 批准号:
    485917-2015
  • 财政年份:
    2015
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Engage Grants Program

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  • 批准号:
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  • 批准年份:
    2007
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  • 批准年份:
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