Natural Flood Influencing Factors: A Case Study of Perlis, Malaysia
In the year 2005, 2010, as well as 2011 severe floods stroked Perlis State, which is situated in the northern part of Peninsula Malaysia. The floods caused tremendous damages to properties and lives as a whole. Flood is basically one of the weather related natural catastrophes. Numerous techniques e...
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my.utp.eprints.79712014-04-08T18:58:56Z Natural Flood Influencing Factors: A Case Study of Perlis, Malaysia Lawal, Dano Umar Matori, Abdul Nasir Hashim, Ahmad Mustafa Wan Yusof, Khamaruzaman Chandio, Imtiaz Ahmed TA Engineering (General). Civil engineering (General) In the year 2005, 2010, as well as 2011 severe floods stroked Perlis State, which is situated in the northern part of Peninsula Malaysia. The floods caused tremendous damages to properties and lives as a whole. Flood is basically one of the weather related natural catastrophes. Numerous techniques exist in an attempt to provide most reliable solutions to reduce the flood risk level to the maximum by detecting those areas that are vulnerable to flooding. The purpose of this paper is to identify the natural flood influencing factors in the study area. GIS spatial database was created from a geological map, land cover map, meteorological station, drainage map, topography map and soil map respectively. An attribute database was equally created from field investigations and historical flood areas reports of the study area. A number of natural flood influencing factors were identified and discussed herein. 2012-06 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/7971/1/1569542301-new.pdf Lawal, Dano Umar and Matori, Abdul Nasir and Hashim, Ahmad Mustafa and Wan Yusof, Khamaruzaman and Chandio, Imtiaz Ahmed (2012) Natural Flood Influencing Factors: A Case Study of Perlis, Malaysia. In: International Conference on Civil, Offshore and Environmental Engineering (ICCOEE 2012), 12-14 June 2012, Kuala Lumpur. http://eprints.utp.edu.my/7971/ |
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TA Engineering (General). Civil engineering (General) Lawal, Dano Umar Matori, Abdul Nasir Hashim, Ahmad Mustafa Wan Yusof, Khamaruzaman Chandio, Imtiaz Ahmed Natural Flood Influencing Factors: A Case Study of Perlis, Malaysia |
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In the year 2005, 2010, as well as 2011 severe floods stroked Perlis State, which is situated in the northern part of Peninsula Malaysia. The floods caused tremendous damages to properties and lives as a whole. Flood is basically one of the weather related natural catastrophes. Numerous techniques exist in an attempt to provide most reliable solutions to reduce the flood risk level to the maximum by detecting those areas that are vulnerable to flooding. The purpose of this paper is to identify the natural flood influencing factors in the study area. GIS spatial database was created from a geological map, land cover map, meteorological station, drainage map, topography map and soil map respectively. An attribute database was equally created from field investigations and historical flood areas reports of the study area. A number of natural flood influencing factors were identified and discussed herein. |
format |
Conference or Workshop Item |
author |
Lawal, Dano Umar Matori, Abdul Nasir Hashim, Ahmad Mustafa Wan Yusof, Khamaruzaman Chandio, Imtiaz Ahmed |
author_facet |
Lawal, Dano Umar Matori, Abdul Nasir Hashim, Ahmad Mustafa Wan Yusof, Khamaruzaman Chandio, Imtiaz Ahmed |
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Lawal, Dano Umar |
title |
Natural Flood Influencing Factors: A Case Study of Perlis, Malaysia |
title_short |
Natural Flood Influencing Factors: A Case Study of Perlis, Malaysia |
title_full |
Natural Flood Influencing Factors: A Case Study of Perlis, Malaysia |
title_fullStr |
Natural Flood Influencing Factors: A Case Study of Perlis, Malaysia |
title_full_unstemmed |
Natural Flood Influencing Factors: A Case Study of Perlis, Malaysia |
title_sort |
natural flood influencing factors: a case study of perlis, malaysia |
publishDate |
2012 |
url |
http://eprints.utp.edu.my/7971/1/1569542301-new.pdf http://eprints.utp.edu.my/7971/ |
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1738655618334457856 |
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13.211869 |