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Antecedent and Cumulative Rainfall as Thresholds in Detecting Possible Landslide Occurrence

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dc.contributor.authorKhalid N.H.N.en_US
dc.contributor.authorUsman F.en_US
dc.contributor.authorOmar R.C.en_US
dc.contributor.authorNorhisham S.en_US
dc.contributor.authorid55812452000en_US
dc.contributor.authorid55812540000en_US
dc.contributor.authorid35753735300en_US
dc.contributor.authorid54581400300en_US
dc.date.accessioned2023-05-29T09:42:04Z
dc.date.available2023-05-29T09:42:04Z
dc.date.issued2022
dc.descriptionDisasters; Rain; Antecedent rainfall; Cumulative rainfall; Landslide monitoring; Natural disasters; Predictive models; Public awareness; Slope failure; Study areas; Threshold; Threshold-value; Landslidesen_US
dc.description.abstractLandslide is one of the world�s natural disasters that are currently gaining attention. Throughout the years of landslide occurrences study, predictive models were developed and a lot of public awareness strategies were conducted to minimize the losses. The occurrence is related to slope failure and heavy rainfall. This paper proposed an alerting solution to an imminent landslide occurrence by identifying rainfall volume as a threshold value. Two study areas which are located 124�km away from each other were analyzed with the help of their past historical landslide. The back analysis method was applied to detect regular and irregular conditions of the received rainfall. The study discovered a similarity in the rainfall pattern at both study areas, where rainfall duration (5-day antecedent rainfall) and total received rainfall (cumulative rainfall) play a big role in initiating landslide occurrence. This method is recommended to implement threshold value as the indicator of imminent landslide occurrence, especially for real-time landslide monitoring purposes. � 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-981-16-6140-2_25
dc.identifier.epage313
dc.identifier.scopus2-s2.0-85121912644
dc.identifier.spage305
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85121912644&doi=10.1007%2f978-981-16-6140-2_25&partnerID=40&md5=a1cca02644038e5097a9b1b436a6d0ae
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27281
dc.identifier.volume192
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.sourceScopus
dc.sourcetitleLecture Notes in Civil Engineering
dc.titleAntecedent and Cumulative Rainfall as Thresholds in Detecting Possible Landslide Occurrenceen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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