Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Land Surveying and Geo-Informatics | en_US |
dc.creator | Xue, Chen | - |
dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/7052 | - |
dc.language | English | en_US |
dc.publisher | Hong Kong Polytechnic University | - |
dc.rights | All rights reserved | en_US |
dc.title | The SCS model assisted by GIS in estimation of urban stormwater flood in Hong Kong | en_US |
dcterms.abstract | The vulnerability of the Fanling catchment to the stormwater flood provided the motivation for the study of the stormwater flood hazard in the area. In this project, the flood area and depth map was produced for the study area under 10 year, 50 year, 200 year, and 1000 year return period of design rainstorms in 1 hour based on the rainfall-runoff model assisted by GIS technology. The SCS-CN model developed by the Soil Conservation Service of US was modified and applied based on local rainfall and runoff record. The results showed that the Ia /S value 0.1 had increased the performance of the model and reduced the average relative error from -22.66% to -0.03%. The flood prone zones of the area were then identified based on the 3D estimation of the stormwater flood scenarios. The stormwater floods under different drainage system conditions were analysed, based on which the drainage ability improvement suggestions were given. | en_US |
dcterms.extent | x, 80 leaves : ill., maps ; 30 cm. | en_US |
dcterms.isPartOf | PolyU Electronic Theses | en_US |
dcterms.issued | 2013 | en_US |
dcterms.educationalLevel | All Master | en_US |
dcterms.educationalLevel | M.Sc. | en_US |
dcterms.LCSH | Flood control -- China -- Hong Kong. | en_US |
dcterms.LCSH | Floods -- China -- Hong Kong. | en_US |
dcterms.LCSH | Geographic information systems. | en_US |
dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
dcterms.accessRights | restricted access | en_US |
Files in This Item:
File | Description | Size | Format | |
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b26271126.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 6.12 MB | Adobe PDF | View/Open |
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