RAS index as a tool to predict sinkhole failures in limestone formation areas in Malaysia / Damanhuri Jamalludin … [et al.]

Sinkhole is a costly recurring problem faced by many countries such as Malaysia especially within areas having limestone with underground cavities as the bedrock. In major sinkhole failures, economic losses or damages of properties and loss of lives occurred. In this study, the seven days rainfall d...

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Main Authors:	Jamalludin, Damanhuri, Mohd Salleh, Samsuri, Md. Issa, Ahmad Kamal, Ahmad, Mohd Farid, Ibrahim, Anas
Format:	Article
Language:	English
Published:	Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA) 2009
Subjects:	Sinkholes
Online Access:	http://ir.uitm.edu.my/id/eprint/16270/ http://ir.uitm.edu.my/id/eprint/16270/1/AJ_DAMANHURI%20JAMALLUDIN%20ESTEEM%2009%281%29.pdf

id	uitm-16270
recordtype	eprints
spelling	uitm-162702017-03-20T08:25:15Z http://ir.uitm.edu.my/id/eprint/16270/ RAS index as a tool to predict sinkhole failures in limestone formation areas in Malaysia / Damanhuri Jamalludin … [et al.] Jamalludin, Damanhuri Mohd Salleh, Samsuri Md. Issa, Ahmad Kamal Ahmad, Mohd Farid Ibrahim, Anas Sinkholes Sinkhole is a costly recurring problem faced by many countries such as Malaysia especially within areas having limestone with underground cavities as the bedrock. In major sinkhole failures, economic losses or damages of properties and loss of lives occurred. In this study, the seven days rainfall data before a sinkhole failure occurred were taken and used to calculate the value of ROSE (after the name of researchers Roslan & Ezani) Index. Based on the ROSE Index Method, RAS (after the name of researchers Roslan, Ahmad Kamal, Damanhuri & Samsuri) classification of sinkhole failure risk index is established successfully. By using the RAS classification method, the prediction of sinkhole occurrences can easily be made by simply knowing the weekly rainfall especially in areas having limestone as the bedrock. The weekly rainfall data is required and RAS Index is then calculated and compared to give an indication to the public as well as the government agencies the likelihood on the degree of sinkhole occurrences on their land that can cause damage to their properties and loss of lives. Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA) 2009 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/16270/1/AJ_DAMANHURI%20JAMALLUDIN%20ESTEEM%2009%281%29.pdf Jamalludin, Damanhuri and Mohd Salleh, Samsuri and Md. Issa, Ahmad Kamal and Ahmad, Mohd Farid and Ibrahim, Anas (2009) RAS index as a tool to predict sinkhole failures in limestone formation areas in Malaysia / Damanhuri Jamalludin … [et al.]. Esteem Academic Journal, 5 (1). pp. 145-159. ISSN 1675-7939
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Sinkholes
spellingShingle	Sinkholes Jamalludin, Damanhuri Mohd Salleh, Samsuri Md. Issa, Ahmad Kamal Ahmad, Mohd Farid Ibrahim, Anas RAS index as a tool to predict sinkhole failures in limestone formation areas in Malaysia / Damanhuri Jamalludin … [et al.]
description	Sinkhole is a costly recurring problem faced by many countries such as Malaysia especially within areas having limestone with underground cavities as the bedrock. In major sinkhole failures, economic losses or damages of properties and loss of lives occurred. In this study, the seven days rainfall data before a sinkhole failure occurred were taken and used to calculate the value of ROSE (after the name of researchers Roslan & Ezani) Index. Based on the ROSE Index Method, RAS (after the name of researchers Roslan, Ahmad Kamal, Damanhuri & Samsuri) classification of sinkhole failure risk index is established successfully. By using the RAS classification method, the prediction of sinkhole occurrences can easily be made by simply knowing the weekly rainfall especially in areas having limestone as the bedrock. The weekly rainfall data is required and RAS Index is then calculated and compared to give an indication to the public as well as the government agencies the likelihood on the degree of sinkhole occurrences on their land that can cause damage to their properties and loss of lives.
format	Article
author	Jamalludin, Damanhuri Mohd Salleh, Samsuri Md. Issa, Ahmad Kamal Ahmad, Mohd Farid Ibrahim, Anas
author_facet	Jamalludin, Damanhuri Mohd Salleh, Samsuri Md. Issa, Ahmad Kamal Ahmad, Mohd Farid Ibrahim, Anas
author_sort	Jamalludin, Damanhuri
title	RAS index as a tool to predict sinkhole failures in limestone formation areas in Malaysia / Damanhuri Jamalludin … [et al.]
title_short	RAS index as a tool to predict sinkhole failures in limestone formation areas in Malaysia / Damanhuri Jamalludin … [et al.]
title_full	RAS index as a tool to predict sinkhole failures in limestone formation areas in Malaysia / Damanhuri Jamalludin … [et al.]
title_fullStr	RAS index as a tool to predict sinkhole failures in limestone formation areas in Malaysia / Damanhuri Jamalludin … [et al.]
title_full_unstemmed	RAS index as a tool to predict sinkhole failures in limestone formation areas in Malaysia / Damanhuri Jamalludin … [et al.]
title_sort	ras index as a tool to predict sinkhole failures in limestone formation areas in malaysia / damanhuri jamalludin … [et al.]
publisher	Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA)
publishDate	2009
url	http://ir.uitm.edu.my/id/eprint/16270/ http://ir.uitm.edu.my/id/eprint/16270/1/AJ_DAMANHURI%20JAMALLUDIN%20ESTEEM%2009%281%29.pdf
first_indexed	2023-09-18T22:55:41Z
last_indexed	2023-09-18T22:55:41Z
_version_	1777417838309408768

RAS index as a tool to predict sinkhole failures in limestone formation areas in Malaysia / Damanhuri Jamalludin … [et al.]

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