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

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


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.


Item Type: Article
Email / ID Num.
Jamalludin, Damanhuri
Mohd Salleh, Samsuri
Md. Issa, Ahmad Kamal
Ahmad, Mohd Farid
Ibrahim, Anas
Subjects: G Geography. Anthropology. Recreation > GB Physical geography > Geomorphology. Landforms. Terrain > Other natural landforms: Floodplains, caves, deserts, dunes, etc. > Karst landforms > Sinkholes
Divisions: Universiti Teknologi MARA, Pulau Pinang
Journal or Publication Title: ESTEEM Academic Journal
UiTM Journal Collections: UiTM Journal > ESTEEM Academic Journal (EAJ)
ISSN: 1675-7939
Volume: 5
Number: 1
Page Range: pp. 145-159
Keywords: Sinkhole;rainfall intensity, RAS classification
Date: 2009
URI: https://ir.uitm.edu.my/id/eprint/16270
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