Publication:
Application of Geographical Information System in Landslide Hazard Analysis

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dc.citedby0
dc.contributor.authorTaher T.M.en_US
dc.contributor.authorOmar R.C.en_US
dc.contributor.authorWahab W.A.en_US
dc.contributor.authorRoslan R.en_US
dc.contributor.authorSolemon B.en_US
dc.contributor.authorJaapar A.R.en_US
dc.contributor.authorid57195257852en_US
dc.contributor.authorid35753735300en_US
dc.contributor.authorid56040257700en_US
dc.contributor.authorid57159693200en_US
dc.contributor.authorid24832320000en_US
dc.contributor.authorid57361879800en_US
dc.date.accessioned2024-10-14T03:19:22Z
dc.date.available2024-10-14T03:19:22Z
dc.date.issued2023
dc.description.abstractLandslides 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-981-99-3708-0_12
dc.identifier.epage184
dc.identifier.scopus2-s2.0-85185927469
dc.identifier.spage173
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85185927469&doi=10.1007%2f978-981-99-3708-0_12&partnerID=40&md5=aeed2d44f27112fa6d2f581b5ea4ecf6
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34375
dc.identifier.volumePart F2265
dc.pagecount11
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.sourceScopus
dc.sourcetitleWater Resources Development and Management
dc.subjectEnergy
dc.subjectGIS
dc.subjectLandslide hazard
dc.subjectPrecipitation
dc.subjectWeighted overlay
dc.titleApplication of Geographical Information System in Landslide Hazard Analysisen_US
dc.typeBook chapteren_US
dspace.entity.typePublication
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