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Application of terrain analysis to the mapping and spatial pattern analysis of subsurface geological fractures of Kuala Lumpur limestone bedrock, Malaysia.

Subsurface geological fractures in karst terrain are often associated with unpredictable environmental and geotechnical engineering problems. This requires precise mapping and an understanding of the distribution of geological fractures on multi-scales. To extract and investigate surface and subsurf...

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Main Authors: Mansor, Shattri, Mahmud, Ahmad Rodzi, Kim Huat, Bujang, Elmahdy, Samy Ismail
Format: Article
Language:English
Published: 2012
Online Access:http://psasir.upm.edu.my/id/eprint/23225/1/Application%20of%20terrain%20analysis%20to%20the%20mapping%20and%20spatial%20pattern%20analysis%20of%20subsurface%20geological%20fractures%20of%20Kuala%20Lumpur%20limestone%20bedrock.pdf
http://psasir.upm.edu.my/id/eprint/23225/
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spelling my.upm.eprints.232252015-10-09T07:41:03Z http://psasir.upm.edu.my/id/eprint/23225/ Application of terrain analysis to the mapping and spatial pattern analysis of subsurface geological fractures of Kuala Lumpur limestone bedrock, Malaysia. Mansor, Shattri Mahmud, Ahmad Rodzi Kim Huat, Bujang Elmahdy, Samy Ismail Subsurface geological fractures in karst terrain are often associated with unpredictable environmental and geotechnical engineering problems. This requires precise mapping and an understanding of the distribution of geological fractures on multi-scales. To extract and investigate surface and subsurface geological fractures on such scales, multi-scales, this study presents two approaches. The first involves geological prediction and visual interpretation of terrain parameters using a digital elevation model (DEM). The second is an automatic detection method using a topographical fabric algorithm that uses a DEM to create a map of ridges, which represent the footwalls of geological fractures, and valleys (channels), which reflect geological fracture zones. Unlike wavelet analysis and the Fourier transform, which use optical remote-sensing images, the integration of visual interpretation and a topographical fabric algorithm is capable of the extraction and spatial correlation of subsurface geological fractures. This method was applied to Kuala Lumpur limestone bedrock in Malaysia, by focusing on the adjacent mountainous areas and the geometries of ex-opencast mining ponds. The spatial correlation of the extracted surface geological fractures was clarified by rose diagrams and semivariogram models. Spatial correlation shows that the Malaysian peninsula, surface and subsurface geological fractures and the geometry of ex-opencast mining ponds share similar trends. The results obtained using this methodology is compared to those of subsurface geological fractures reported by means of geophysical surveying and field investigation. This proposed method may be useful for mapping geological fractures in areas of high soil moisture, where geophysical surveying is difficult and/or not available, and is also highly applicable in other parts of Malaysia or Southeast Asia, permitting a better understanding of the geotectonics and geotechnical engineering setting of the study area. 2012 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/23225/1/Application%20of%20terrain%20analysis%20to%20the%20mapping%20and%20spatial%20pattern%20analysis%20of%20subsurface%20geological%20fractures%20of%20Kuala%20Lumpur%20limestone%20bedrock.pdf Mansor, Shattri and Mahmud, Ahmad Rodzi and Kim Huat, Bujang and Elmahdy, Samy Ismail (2012) Application of terrain analysis to the mapping and spatial pattern analysis of subsurface geological fractures of Kuala Lumpur limestone bedrock, Malaysia. International Journal of Remote Sensing, 33 (10). pp. 3176-3196. ISSN 0143-1161 10.1080/01431161.2011.634860
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Subsurface geological fractures in karst terrain are often associated with unpredictable environmental and geotechnical engineering problems. This requires precise mapping and an understanding of the distribution of geological fractures on multi-scales. To extract and investigate surface and subsurface geological fractures on such scales, multi-scales, this study presents two approaches. The first involves geological prediction and visual interpretation of terrain parameters using a digital elevation model (DEM). The second is an automatic detection method using a topographical fabric algorithm that uses a DEM to create a map of ridges, which represent the footwalls of geological fractures, and valleys (channels), which reflect geological fracture zones. Unlike wavelet analysis and the Fourier transform, which use optical remote-sensing images, the integration of visual interpretation and a topographical fabric algorithm is capable of the extraction and spatial correlation of subsurface geological fractures. This method was applied to Kuala Lumpur limestone bedrock in Malaysia, by focusing on the adjacent mountainous areas and the geometries of ex-opencast mining ponds. The spatial correlation of the extracted surface geological fractures was clarified by rose diagrams and semivariogram models. Spatial correlation shows that the Malaysian peninsula, surface and subsurface geological fractures and the geometry of ex-opencast mining ponds share similar trends. The results obtained using this methodology is compared to those of subsurface geological fractures reported by means of geophysical surveying and field investigation. This proposed method may be useful for mapping geological fractures in areas of high soil moisture, where geophysical surveying is difficult and/or not available, and is also highly applicable in other parts of Malaysia or Southeast Asia, permitting a better understanding of the geotectonics and geotechnical engineering setting of the study area.
format Article
author Mansor, Shattri
Mahmud, Ahmad Rodzi
Kim Huat, Bujang
Elmahdy, Samy Ismail
spellingShingle Mansor, Shattri
Mahmud, Ahmad Rodzi
Kim Huat, Bujang
Elmahdy, Samy Ismail
Application of terrain analysis to the mapping and spatial pattern analysis of subsurface geological fractures of Kuala Lumpur limestone bedrock, Malaysia.
author_facet Mansor, Shattri
Mahmud, Ahmad Rodzi
Kim Huat, Bujang
Elmahdy, Samy Ismail
author_sort Mansor, Shattri
title Application of terrain analysis to the mapping and spatial pattern analysis of subsurface geological fractures of Kuala Lumpur limestone bedrock, Malaysia.
title_short Application of terrain analysis to the mapping and spatial pattern analysis of subsurface geological fractures of Kuala Lumpur limestone bedrock, Malaysia.
title_full Application of terrain analysis to the mapping and spatial pattern analysis of subsurface geological fractures of Kuala Lumpur limestone bedrock, Malaysia.
title_fullStr Application of terrain analysis to the mapping and spatial pattern analysis of subsurface geological fractures of Kuala Lumpur limestone bedrock, Malaysia.
title_full_unstemmed Application of terrain analysis to the mapping and spatial pattern analysis of subsurface geological fractures of Kuala Lumpur limestone bedrock, Malaysia.
title_sort application of terrain analysis to the mapping and spatial pattern analysis of subsurface geological fractures of kuala lumpur limestone bedrock, malaysia.
publishDate 2012
url http://psasir.upm.edu.my/id/eprint/23225/1/Application%20of%20terrain%20analysis%20to%20the%20mapping%20and%20spatial%20pattern%20analysis%20of%20subsurface%20geological%20fractures%20of%20Kuala%20Lumpur%20limestone%20bedrock.pdf
http://psasir.upm.edu.my/id/eprint/23225/
_version_ 1643827994134839296
score 13.211869

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