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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA)
2009
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/16270/ |
| _version_ | 1848803963020771328 |
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| 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 |
| building | UiTM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T21:47:35Z |
| format | Article |
| id | uitm-16270 |
| institution | Universiti Teknologi MARA |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T21:47:35Z |
| publishDate | 2009 |
| publisher | Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uitm-162702017-03-20T08:25:15Z https://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.] esteem 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 https://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.]. (2009) ESTEEM Academic Journal <https://ir.uitm.edu.my/view/publication/ESTEEM_Academic_Journal.html>, 5 (1). pp. 145-159. ISSN 1675-7939 |
| 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.] |
| title | 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_short | 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.] |
| topic | Sinkholes |
| url | https://ir.uitm.edu.my/id/eprint/16270/ |