Author: Xue, Chen
Title: The SCS model assisted by GIS in estimation of urban stormwater flood in Hong Kong
Degree: M.Sc.
Year: 2013
Subject: Flood control -- China -- Hong Kong.
Floods -- China -- Hong Kong.
Geographic information systems.
Hong Kong Polytechnic University -- Dissertations
Department: Department of Land Surveying and Geo-Informatics
Pages: x, 80 leaves : ill., maps ; 30 cm.
Language: English
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.
Rights: All rights reserved
Access: restricted access

Files in This Item:
File Description SizeFormat 
b26271126.pdfFor All Users (off-campus access for PolyU Staff & Students only)6.12 MBAdobe PDFView/Open


Copyright Undertaking

As a bona fide Library user, I declare that:

  1. I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
  2. I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
  3. I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.

By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.

Show full item record

Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/7052