Changjiang Water Resources Commission Researchers Yield New Study Findings on Geoinformation (Micro-scale Flood Hazard Assessment Based on Catastrophe Theory and an Integrated 2-D Hydraulic Model: A Case Study of Gongshuangcha Detention Basin ...) - Insurance News | InsuranceNewsNet

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April 24, 2020 Newswires
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Changjiang Water Resources Commission Researchers Yield New Study Findings on Geoinformation (Micro-scale Flood Hazard Assessment Based on Catastrophe Theory and an Integrated 2-D Hydraulic Model: A Case Study of Gongshuangcha Detention Basin …)

Politics & Government Daily

2020 APR 24 (NewsRx) -- By a News Reporter-Staff News Editor at Politics, Law & Government Daily -- Fresh data on geoinformation are presented in a new report. According to news originating from Wuhan, People’s Republic of China, by NewsRx correspondents, research stated, “Assessments of urban flood hazards are crucial for planning and early warning flood system design. Moreover, hazard risk assessment is useful for emergency planning and insurance.”

Our news journalists obtained a quote from the research from Changjiang Water Resources Commission: “There are two common methods for conducting flood hazard risk assessments (FHRA): those based on physical models and those based on parameters. Although physical models are able to simulate flood propagation processes accurately, they also have obvious shortcomings. Parameter-based FHRAs are more comprehensive because they emphasize the analysis of hazard factors. However, this approach also has various flaws, including its qualitative, macro-scale and high subjective nature. In this study, the strengths of both methods were combined to develop a new micro-scale FHRA. Taking the FHRA of the flood storage and detention area of Dongting Lake as an example, this study used high-precision digital elevation model (DEM) data generated from an airborne light detection and ranging (LiDAR) point cloud to construct a two-dimensional (2-D) flood propagation model. Micro-scale FHRAs were then performed using eight selected FHR indicators based on catastrophe theory.”

According to the news reporters, the research concluded: “By automatically calculating the FHR value of each assessment unit based on hierarchical recursion, the catastrophe theory and catastrophe progression method effectively avoided uncertainty in weight assignment, which is an issue commonly faced by parameter-based methods. The FHRA results obtained under 144 different sequences of assessment indicators also show that the proposed method has a low sensitivity to the ranking of FHR indicators, as well as a high fault tolerance for different assessment results arising from subjective rankings by humans.”

For more information on this research see: Micro-scale Flood Hazard Assessment Based on Catastrophe Theory and an Integrated 2-D Hydraulic Model: A Case Study of Gongshuangcha Detention Basin in Dongting Lake Area, China. ISPRS International Journal of Geo-Information, 2020,9(206):206. (ISPRS International Journal of Geo-Information - http://www.mdpi.com/journal/ijgi). The publisher for ISPRS International Journal of Geo-Information is MDPI AG.

A free version of this journal article is available at https://doi.org/10.3390/ijgi9040206.

Our news editors report that additional information may be obtained by contacting Dingtao Shen, Changjiang River Scientific Research Institute, Changjiang Water Resources Commission, Wuhan 430010, People’s Republic of China. Additional authors for this research include Tianlu Qian, Yu Xia, Yu Zhang, Jiechen Wang.

(Our reports deliver fact-based news of research and discoveries from around the world.)

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