Revised Rainfall Threshold in the Indonesian Landslide Early Warning System

Landslides are one of the most disastrous natural hazards that frequently occur in Indonesia. In 2017, Balai Sabo developed an Indonesia Landslide Early Warning System (ILEWS) by utilizing a single rainfall threshold for an entire nation, leading to inaccuracy in landslide predictions. The study aim...

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Main Authors: Yuniawan, Ragil Andika, Rifa’i, Ahmad, Faris, Fikri, Subiyantoro, Andy, Satyaningsih, Ratna, Hidayah, Alidina Nurul, Hidayat, Rokhmat, Mushthofa, Akhyar, Ridwan, Banata Wachid, Priangga, Eka, Muntohar, Agus Setyo, Jetten, Victor G., van Westen, Cees J., Den Bout, Bastian V., Sutanto, Samuel J.
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Online Access:https://repository.ugm.ac.id/282031/1/Yuniawan%20et%20al%20-%202022%20-%20Revised%20Rainfall.pdf
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author Yuniawan, Ragil Andika
Rifa’i, Ahmad
Faris, Fikri
Subiyantoro, Andy
Satyaningsih, Ratna
Hidayah, Alidina Nurul
Hidayat, Rokhmat
Mushthofa, Akhyar
Ridwan, Banata Wachid
Priangga, Eka
Muntohar, Agus Setyo
Jetten, Victor G.
van Westen, Cees J.
Den Bout, Bastian V.
Sutanto, Samuel J.
author_facet Yuniawan, Ragil Andika
Rifa’i, Ahmad
Faris, Fikri
Subiyantoro, Andy
Satyaningsih, Ratna
Hidayah, Alidina Nurul
Hidayat, Rokhmat
Mushthofa, Akhyar
Ridwan, Banata Wachid
Priangga, Eka
Muntohar, Agus Setyo
Jetten, Victor G.
van Westen, Cees J.
Den Bout, Bastian V.
Sutanto, Samuel J.
author_sort Yuniawan, Ragil Andika
collection UGM
description Landslides are one of the most disastrous natural hazards that frequently occur in Indonesia. In 2017, Balai Sabo developed an Indonesia Landslide Early Warning System (ILEWS) by utilizing a single rainfall threshold for an entire nation, leading to inaccuracy in landslide predictions. The study aimed to improve the accuracy of the system by updating the rainfall threshold. We analyzed 420 landslide events in Java with the 1-day and 3-day effective antecedent rainfall for each landslide event. Rainfall data were obtained from the Global Precipitation Measurement (GPM), which is also used in the ILEWS. We propose four methods to derive the thresholds: the first is the existing threshold applied in the Balai Sabo ILEWS, the second and third use the average and minimum values of rainfall that trigger landslides, respectively, and the fourth uses the minimum value of rainfall that induces major landslides. We used receiver operating characteristic (ROC) analysis to evaluate the predictability of the rainfall thresholds. The fourth method showed the best results compared with the others, and this method provided a good prediction of landslide events with a low error value. The chosen threshold was then applied in the Balai Sabo-ILEWS. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
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spelling oai:generic.eprints.org:2820312023-12-01T07:42:25Z https://repository.ugm.ac.id/282031/ Revised Rainfall Threshold in the Indonesian Landslide Early Warning System Yuniawan, Ragil Andika Rifa’i, Ahmad Faris, Fikri Subiyantoro, Andy Satyaningsih, Ratna Hidayah, Alidina Nurul Hidayat, Rokhmat Mushthofa, Akhyar Ridwan, Banata Wachid Priangga, Eka Muntohar, Agus Setyo Jetten, Victor G. van Westen, Cees J. Den Bout, Bastian V. Sutanto, Samuel J. Civil Engineering not elsewhere classified Landslides are one of the most disastrous natural hazards that frequently occur in Indonesia. In 2017, Balai Sabo developed an Indonesia Landslide Early Warning System (ILEWS) by utilizing a single rainfall threshold for an entire nation, leading to inaccuracy in landslide predictions. The study aimed to improve the accuracy of the system by updating the rainfall threshold. We analyzed 420 landslide events in Java with the 1-day and 3-day effective antecedent rainfall for each landslide event. Rainfall data were obtained from the Global Precipitation Measurement (GPM), which is also used in the ILEWS. We propose four methods to derive the thresholds: the first is the existing threshold applied in the Balai Sabo ILEWS, the second and third use the average and minimum values of rainfall that trigger landslides, respectively, and the fourth uses the minimum value of rainfall that induces major landslides. We used receiver operating characteristic (ROC) analysis to evaluate the predictability of the rainfall thresholds. The fourth method showed the best results compared with the others, and this method provided a good prediction of landslide events with a low error value. The chosen threshold was then applied in the Balai Sabo-ILEWS. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. MDPI 2022 Article PeerReviewed application/pdf en https://repository.ugm.ac.id/282031/1/Yuniawan%20et%20al%20-%202022%20-%20Revised%20Rainfall.pdf Yuniawan, Ragil Andika and Rifa’i, Ahmad and Faris, Fikri and Subiyantoro, Andy and Satyaningsih, Ratna and Hidayah, Alidina Nurul and Hidayat, Rokhmat and Mushthofa, Akhyar and Ridwan, Banata Wachid and Priangga, Eka and Muntohar, Agus Setyo and Jetten, Victor G. and van Westen, Cees J. and Den Bout, Bastian V. and Sutanto, Samuel J. (2022) Revised Rainfall Threshold in the Indonesian Landslide Early Warning System. Geosciences (Switzerland), 12 (3). pp. 1-17. ISSN 20763263 https://www.mdpi.com/2076-3263/12/3/129
spellingShingle Civil Engineering not elsewhere classified
Yuniawan, Ragil Andika
Rifa’i, Ahmad
Faris, Fikri
Subiyantoro, Andy
Satyaningsih, Ratna
Hidayah, Alidina Nurul
Hidayat, Rokhmat
Mushthofa, Akhyar
Ridwan, Banata Wachid
Priangga, Eka
Muntohar, Agus Setyo
Jetten, Victor G.
van Westen, Cees J.
Den Bout, Bastian V.
Sutanto, Samuel J.
Revised Rainfall Threshold in the Indonesian Landslide Early Warning System
title Revised Rainfall Threshold in the Indonesian Landslide Early Warning System
title_full Revised Rainfall Threshold in the Indonesian Landslide Early Warning System
title_fullStr Revised Rainfall Threshold in the Indonesian Landslide Early Warning System
title_full_unstemmed Revised Rainfall Threshold in the Indonesian Landslide Early Warning System
title_short Revised Rainfall Threshold in the Indonesian Landslide Early Warning System
title_sort revised rainfall threshold in the indonesian landslide early warning system
topic Civil Engineering not elsewhere classified
url https://repository.ugm.ac.id/282031/1/Yuniawan%20et%20al%20-%202022%20-%20Revised%20Rainfall.pdf
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