Landslide susceptibility assessment for cameron highlands using analytical hierarchy process
Landslides susceptibility assessment has been conducted to identify the landslide-prone areas by using Geographical Information System (GIS) through Analytical Hierarchy Process (AHP) technique. Ten predictive or causative factors, such as digital elevation map (DEM), aspect, slope, curvature, geolo...
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2023
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my.uniten.dspace-243892023-05-29T15:23:10Z Landslide susceptibility assessment for cameron highlands using analytical hierarchy process Hanafiah M.I.M. Solemon B. Omar R. Roslan R. Wahab W.A. Baharuddin I.N.Z. Gunasagaran V. 57193280239 24832320000 35753735300 57159693200 56040257700 55812431300 57211668683 Landslides susceptibility assessment has been conducted to identify the landslide-prone areas by using Geographical Information System (GIS) through Analytical Hierarchy Process (AHP) technique. Ten predictive or causative factors, such as digital elevation map (DEM), aspect, slope, curvature, geology, land use, fault, river, road and rainfall are used to map the susceptibility of landslides. Five classification zones of landslide susceptibility area are classes to very high, high, moderate, low and very low zone. The classification zones were compared and validated using a landslide inventory map produce from the integration of historical data and field survey using area under curve (AUC) method. The AHP technique final result shows 78.0% accuracy of landslide prediction, which considered as a fair result and it is acceptable. The mitigation measures for planning safe urbanization can be formulated using this susceptibility map. �BEIESP. Final 2023-05-29T07:23:10Z 2023-05-29T07:23:10Z 2019 Article 10.35940/ijeat.A2673.109119 2-s2.0-85074782831 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074782831&doi=10.35940%2fijeat.A2673.109119&partnerID=40&md5=279ecfc84e7553d34c2cb5467eb58477 https://irepository.uniten.edu.my/handle/123456789/24389 9 1 3494 3499 All Open Access, Bronze Blue Eyes Intelligence Engineering and Sciences Publication Scopus |
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Landslides susceptibility assessment has been conducted to identify the landslide-prone areas by using Geographical Information System (GIS) through Analytical Hierarchy Process (AHP) technique. Ten predictive or causative factors, such as digital elevation map (DEM), aspect, slope, curvature, geology, land use, fault, river, road and rainfall are used to map the susceptibility of landslides. Five classification zones of landslide susceptibility area are classes to very high, high, moderate, low and very low zone. The classification zones were compared and validated using a landslide inventory map produce from the integration of historical data and field survey using area under curve (AUC) method. The AHP technique final result shows 78.0% accuracy of landslide prediction, which considered as a fair result and it is acceptable. The mitigation measures for planning safe urbanization can be formulated using this susceptibility map. �BEIESP. |
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57193280239 |
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57193280239 Hanafiah M.I.M. Solemon B. Omar R. Roslan R. Wahab W.A. Baharuddin I.N.Z. Gunasagaran V. |
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Hanafiah M.I.M. Solemon B. Omar R. Roslan R. Wahab W.A. Baharuddin I.N.Z. Gunasagaran V. |
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Hanafiah M.I.M. Solemon B. Omar R. Roslan R. Wahab W.A. Baharuddin I.N.Z. Gunasagaran V. Landslide susceptibility assessment for cameron highlands using analytical hierarchy process |
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Hanafiah M.I.M. |
title |
Landslide susceptibility assessment for cameron highlands using analytical hierarchy process |
title_short |
Landslide susceptibility assessment for cameron highlands using analytical hierarchy process |
title_full |
Landslide susceptibility assessment for cameron highlands using analytical hierarchy process |
title_fullStr |
Landslide susceptibility assessment for cameron highlands using analytical hierarchy process |
title_full_unstemmed |
Landslide susceptibility assessment for cameron highlands using analytical hierarchy process |
title_sort |
landslide susceptibility assessment for cameron highlands using analytical hierarchy process |
publisher |
Blue Eyes Intelligence Engineering and Sciences Publication |
publishDate |
2023 |
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1806428294495600640 |