Antecedent and Cumulative Rainfall as Thresholds in Detecting Possible Landslide Occurrence
Disasters; Rain; Antecedent rainfall; Cumulative rainfall; Landslide monitoring; Natural disasters; Predictive models; Public awareness; Slope failure; Study areas; Threshold; Threshold-value; Landslides
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Springer Science and Business Media Deutschland GmbH
2023
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my.uniten.dspace-272812023-05-29T17:42:05Z Antecedent and Cumulative Rainfall as Thresholds in Detecting Possible Landslide Occurrence Khalid N.H.N. Usman F. Omar R.C. Norhisham S. 55812452000 55812540000 35753735300 54581400300 Disasters; Rain; Antecedent rainfall; Cumulative rainfall; Landslide monitoring; Natural disasters; Predictive models; Public awareness; Slope failure; Study areas; Threshold; Threshold-value; Landslides Landslide 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. Final 2023-05-29T09:42:04Z 2023-05-29T09:42:04Z 2022 Conference Paper 10.1007/978-981-16-6140-2_25 2-s2.0-85121912644 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121912644&doi=10.1007%2f978-981-16-6140-2_25&partnerID=40&md5=a1cca02644038e5097a9b1b436a6d0ae https://irepository.uniten.edu.my/handle/123456789/27281 192 305 313 Springer Science and Business Media Deutschland GmbH Scopus |
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| description |
Disasters; Rain; Antecedent rainfall; Cumulative rainfall; Landslide monitoring; Natural disasters; Predictive models; Public awareness; Slope failure; Study areas; Threshold; Threshold-value; Landslides |
| author2 |
55812452000 |
| author_facet |
55812452000 Khalid N.H.N. Usman F. Omar R.C. Norhisham S. |
| format |
Conference Paper |
| author |
Khalid N.H.N. Usman F. Omar R.C. Norhisham S. |
| spellingShingle |
Khalid N.H.N. Usman F. Omar R.C. Norhisham S. Antecedent and Cumulative Rainfall as Thresholds in Detecting Possible Landslide Occurrence |
| author_sort |
Khalid N.H.N. |
| title |
Antecedent and Cumulative Rainfall as Thresholds in Detecting Possible Landslide Occurrence |
| title_short |
Antecedent and Cumulative Rainfall as Thresholds in Detecting Possible Landslide Occurrence |
| title_full |
Antecedent and Cumulative Rainfall as Thresholds in Detecting Possible Landslide Occurrence |
| title_fullStr |
Antecedent and Cumulative Rainfall as Thresholds in Detecting Possible Landslide Occurrence |
| title_full_unstemmed |
Antecedent and Cumulative Rainfall as Thresholds in Detecting Possible Landslide Occurrence |
| title_sort |
antecedent and cumulative rainfall as thresholds in detecting possible landslide occurrence |
| publisher |
Springer Science and Business Media Deutschland GmbH |
| publishDate |
2023 |
| _version_ |
1806427729925505024 |
| score |
13.214268 |