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...
Main Authors: | , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1797037519973384192 |
---|---|
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. |
first_indexed | 2024-03-14T00:04:32Z |
format | Article |
id | oai:generic.eprints.org:282031 |
institution | Universiti Gadjah Mada |
language | English |
last_indexed | 2024-03-14T00:04:32Z |
publishDate | 2022 |
publisher | MDPI |
record_format | dspace |
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 |
work_keys_str_mv | AT yuniawanragilandika revisedrainfallthresholdintheindonesianlandslideearlywarningsystem AT rifaiahmad revisedrainfallthresholdintheindonesianlandslideearlywarningsystem AT farisfikri revisedrainfallthresholdintheindonesianlandslideearlywarningsystem AT subiyantoroandy revisedrainfallthresholdintheindonesianlandslideearlywarningsystem AT satyaningsihratna revisedrainfallthresholdintheindonesianlandslideearlywarningsystem AT hidayahalidinanurul revisedrainfallthresholdintheindonesianlandslideearlywarningsystem AT hidayatrokhmat revisedrainfallthresholdintheindonesianlandslideearlywarningsystem AT mushthofaakhyar revisedrainfallthresholdintheindonesianlandslideearlywarningsystem AT ridwanbanatawachid revisedrainfallthresholdintheindonesianlandslideearlywarningsystem AT prianggaeka revisedrainfallthresholdintheindonesianlandslideearlywarningsystem AT muntoharagussetyo revisedrainfallthresholdintheindonesianlandslideearlywarningsystem AT jettenvictorg revisedrainfallthresholdintheindonesianlandslideearlywarningsystem AT vanwestenceesj revisedrainfallthresholdintheindonesianlandslideearlywarningsystem AT denboutbastianv revisedrainfallthresholdintheindonesianlandslideearlywarningsystem AT sutantosamuelj revisedrainfallthresholdintheindonesianlandslideearlywarningsystem |