Application of Geographical Information System in Landslide Hazard Analysis

Landslides can cause disastrous flooding, particularly when streams in the dams are breached by landslide which increases water level and may trigger more slides. This study aims to identify potential landslide zone and its characteristics through landslide hazard mapping using the Geographical Info...

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Main Authors: Taher T.M., Omar R.C., Wahab W.A., Roslan R., Solemon B., Jaapar A.R.
Other Authors: 57195257852
Format: Book chapter
Published: Springer Science and Business Media Deutschland GmbH 2024
Subjects:
GIS
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spelling my.uniten.dspace-343752024-10-14T11:19:22Z Application of Geographical Information System in Landslide Hazard Analysis Taher T.M. Omar R.C. Wahab W.A. Roslan R. Solemon B. Jaapar A.R. 57195257852 35753735300 56040257700 57159693200 24832320000 57361879800 Energy GIS Landslide hazard Precipitation Weighted overlay Landslides can cause disastrous flooding, particularly when streams in the dams are breached by landslide which increases water level and may trigger more slides. This study aims to identify potential landslide zone and its characteristics through landslide hazard mapping using the Geographical Information System (GIS). The importance of precipitation toward the result will also be evaluated using different percentages of influences. Elevation, slope angle, slope aspect, and geology are the variables considered. The susceptibility map was generated by analyzing each factor using the weighted overlay method. The susceptibility map combined with precipitation data generates a Landslide Hazard Map. In the weighted overlay process, assigning different percentages of influence for precipitation resulted in different landslide hazard (LH) zones. The outcome, based on a 55% influence factor, showed that 95.5% of the area was identified as a low hazard while the remaining area was classified as a moderate hazard. In contrast, by using 45% influence, 45.1% area is moderately hazardous followed by lower hazard. Increasing the percentage of influence by more than 55% showed no changes to the LH result. Damage at the dam area will disrupt energy production in the area. Besides urban area, management and monitoring of slope stability in the study area is vital, particularly during unpredictable weather changes. � The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023. Final 2024-10-14T03:19:22Z 2024-10-14T03:19:22Z 2023 Book chapter 10.1007/978-981-99-3708-0_12 2-s2.0-85185927469 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185927469&doi=10.1007%2f978-981-99-3708-0_12&partnerID=40&md5=aeed2d44f27112fa6d2f581b5ea4ecf6 https://irepository.uniten.edu.my/handle/123456789/34375 Part F2265 173 184 Springer Science and Business Media Deutschland GmbH Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Energy
GIS
Landslide hazard
Precipitation
Weighted overlay
spellingShingle Energy
GIS
Landslide hazard
Precipitation
Weighted overlay
Taher T.M.
Omar R.C.
Wahab W.A.
Roslan R.
Solemon B.
Jaapar A.R.
Application of Geographical Information System in Landslide Hazard Analysis
description Landslides can cause disastrous flooding, particularly when streams in the dams are breached by landslide which increases water level and may trigger more slides. This study aims to identify potential landslide zone and its characteristics through landslide hazard mapping using the Geographical Information System (GIS). The importance of precipitation toward the result will also be evaluated using different percentages of influences. Elevation, slope angle, slope aspect, and geology are the variables considered. The susceptibility map was generated by analyzing each factor using the weighted overlay method. The susceptibility map combined with precipitation data generates a Landslide Hazard Map. In the weighted overlay process, assigning different percentages of influence for precipitation resulted in different landslide hazard (LH) zones. The outcome, based on a 55% influence factor, showed that 95.5% of the area was identified as a low hazard while the remaining area was classified as a moderate hazard. In contrast, by using 45% influence, 45.1% area is moderately hazardous followed by lower hazard. Increasing the percentage of influence by more than 55% showed no changes to the LH result. Damage at the dam area will disrupt energy production in the area. Besides urban area, management and monitoring of slope stability in the study area is vital, particularly during unpredictable weather changes. � The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
author2 57195257852
author_facet 57195257852
Taher T.M.
Omar R.C.
Wahab W.A.
Roslan R.
Solemon B.
Jaapar A.R.
format Book chapter
author Taher T.M.
Omar R.C.
Wahab W.A.
Roslan R.
Solemon B.
Jaapar A.R.
author_sort Taher T.M.
title Application of Geographical Information System in Landslide Hazard Analysis
title_short Application of Geographical Information System in Landslide Hazard Analysis
title_full Application of Geographical Information System in Landslide Hazard Analysis
title_fullStr Application of Geographical Information System in Landslide Hazard Analysis
title_full_unstemmed Application of Geographical Information System in Landslide Hazard Analysis
title_sort application of geographical information system in landslide hazard analysis
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2024
_version_ 1814061177028739072
score 13.214268