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
基本信息
- 批准号:528363-2018
- 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:2018
- 资助国家:加拿大
- 起止时间:2018-01-01 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
In Canada, urban flooding is a reoccurring disaster and its frequency and intensity are likely to increase in the**near future due to increases in the number of storm events. An active and instructive assessment of urban**flooding hazards is necessary and valuable for flood response and future planning. The objective is to develop**an urban flooding hazard evaluation strategy using GIS technology. To help realize this objective, the project**collaborates with Esri Canada, the Canadian distributor of enterprise geographic information system (GIS)**software solutions developed by Esri Inc. In the present, GIS-based and hydraulic/hydrologic models are the**two widely-used solutions for urban flooding analysis. However, the majority of current multi-criteria GIS**models introduce subjectivity and unwanted approximations to the results. In contrast, hydraulic/hydrologic**models provide great detail and accuracy but suffer from high computational cost. Hence, this project seeks to**integrate the GIS and hydraulic/hydrologic models, in order to take advantage of the strengths from both**approaches. Until today, limited research has been done on this topic. The proposed methodology includes: (1)**performing hydraulic/hydrologic model-based analysis in small training areas to obtain maximum water depth**maps; (2) using the maximum water depth maps in training areas to establish a GIS model, which allows the**GIS model to simulate the hydraulic/hydrologic model; (3) analyzing the resulting urban flooding hazard**distribution. The final results from this project will be integrated into Esri Canada services, which scientifically**evaluate urban flooding hazards based on locational attributes. The research and findings will directly benefit**Canadian urban flood hazard mapping by providing a straightforward means of assessing risk. The use of urban**flood hazard maps can assist future flood response effectiveness and drainage infrastructure design. It is**valuable to know locations that have high possibility to flood before the flood actually happens. This can lead**to a better prepared and safer urban environment against recent increases in severe storm events.
在加拿大,城市洪水是一种反复发生的灾害,由于风暴事件数量的增加,其频率和强度在不久的将来可能会增加。积极和有指导意义的评估城市 ** 洪水灾害是必要的和有价值的洪水响应和未来的规划。目的是利用地理信息系统技术开发一种城市洪水灾害评估策略。为了帮助实现这一目标,该项目 ** 与加拿大的企业地理信息系统(GIS)** 软件解决方案分销商Esri Inc.合作。目前,基于GIS和水力/水文模型是城市洪水分析的两种常用方法。然而,目前大多数多标准GIS** 模型引入主观性和不必要的近似结果。相比之下,水力/水文 ** 模型提供了很大的细节和准确性,但遭受高计算成本。因此,本项目力求 ** 整合地理信息系统和水力/水文模型,以便利用这两种 ** 方法的优势。迄今为止,对这一问题的研究有限。拟议的方法包括:(1)** 在小训练区进行基于水力/水文模型的分析,以获得最大水深 ** 图;(2)利用训练区的最大水深图建立GIS模型,使 **GIS模型能够模拟水力/水文模型;(3)分析由此产生的城市洪水危险性 ** 分布。该项目的最终结果将集成到Esri加拿大服务中,该服务基于位置属性科学地评估城市洪水危害。研究和调查结果将直接有利于 ** 加拿大城市洪水灾害地图提供了一个简单的方法来评估风险。城市洪水危险图的使用可以帮助未来的洪水响应效率和排水基础设施的设计。在洪水实际发生之前知道有很大可能性发生洪水的地点是很有价值的。这可以导致 ** 针对最近严重风暴事件的增加,更好地准备和更安全的城市环境。
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
- DOI:
10.1109/jstars.2013.2256882 - 发表时间:
2013-06-01 - 期刊:
- 影响因子:5.5
- 作者:
Zeng, Chuiqing;Wang, Jinfei;Lehrbass, Brad - 通讯作者:
Lehrbass, Brad
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:
$ 1.82万 - 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:
$ 1.82万 - 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:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
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
- 批准号:
544511-2019 - 财政年份:2019
- 资助金额:
$ 1.82万 - 项目类别:
Engage Plus 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:2019
- 资助金额:
$ 1.82万 - 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:
$ 1.82万 - 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:2017
- 资助金额:
$ 1.82万 - 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:
$ 1.82万 - 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:
$ 1.82万 - 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:
$ 1.82万 - 项目类别:
Engage Grants Program
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