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Multi-hazard exposure mapping under climate crisis using random forest algorithm for the Kalimantan Islands, Indonesia
Numerous natural disasters that threaten people’s lives and property occur in Indonesia. Climate change-induced temperature increases are expected to affect the frequency of natural hazards in the future and pose more risks. This study examines the consequences of droughts and forest fires on the In...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439166/ https://www.ncbi.nlm.nih.gov/pubmed/37596300 http://dx.doi.org/10.1038/s41598-023-40106-8 |
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author | Heo, Sujung Park, Sangjin Lee, Dong Kun |
author_facet | Heo, Sujung Park, Sangjin Lee, Dong Kun |
author_sort | Heo, Sujung |
collection | PubMed |
description | Numerous natural disasters that threaten people’s lives and property occur in Indonesia. Climate change-induced temperature increases are expected to affect the frequency of natural hazards in the future and pose more risks. This study examines the consequences of droughts and forest fires on the Indonesian island of Kalimantan. We first create maps showing the eleven contributing factors that have the greatest impact on forest fires and droughts related to the climate, topography, anthropogenic, and vegetation. Next, we used RF to create single and multi-risk maps for forest fires and droughts in Kalimantan Island. Finally, using the Coupled Model Intercomparison Project (CMIP6) integrated evaluation model, a future climate scenario was applied to predict multiple risk maps for RCP-SSP2-4.5 and RCP-SSP5-8.5 in 2040–2059 and 2080–2099. The probability of a 22.6% drought and a 21.7% forest fire were anticipated to have an influence on the study’s findings, and 2.6% of the sites looked at were predicted to be affected by both hazards. Both RCP-SSP2-4.5 and RCP-SSP5-8.5 have an increase in these hazards projected for them. Researchers and stakeholders may use these findings to assess risks under various mitigation strategies and estimate the spatial behavior of such forest fire and drought occurrences. |
format | Online Article Text |
id | pubmed-10439166 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104391662023-08-20 Multi-hazard exposure mapping under climate crisis using random forest algorithm for the Kalimantan Islands, Indonesia Heo, Sujung Park, Sangjin Lee, Dong Kun Sci Rep Article Numerous natural disasters that threaten people’s lives and property occur in Indonesia. Climate change-induced temperature increases are expected to affect the frequency of natural hazards in the future and pose more risks. This study examines the consequences of droughts and forest fires on the Indonesian island of Kalimantan. We first create maps showing the eleven contributing factors that have the greatest impact on forest fires and droughts related to the climate, topography, anthropogenic, and vegetation. Next, we used RF to create single and multi-risk maps for forest fires and droughts in Kalimantan Island. Finally, using the Coupled Model Intercomparison Project (CMIP6) integrated evaluation model, a future climate scenario was applied to predict multiple risk maps for RCP-SSP2-4.5 and RCP-SSP5-8.5 in 2040–2059 and 2080–2099. The probability of a 22.6% drought and a 21.7% forest fire were anticipated to have an influence on the study’s findings, and 2.6% of the sites looked at were predicted to be affected by both hazards. Both RCP-SSP2-4.5 and RCP-SSP5-8.5 have an increase in these hazards projected for them. Researchers and stakeholders may use these findings to assess risks under various mitigation strategies and estimate the spatial behavior of such forest fire and drought occurrences. Nature Publishing Group UK 2023-08-18 /pmc/articles/PMC10439166/ /pubmed/37596300 http://dx.doi.org/10.1038/s41598-023-40106-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Heo, Sujung Park, Sangjin Lee, Dong Kun Multi-hazard exposure mapping under climate crisis using random forest algorithm for the Kalimantan Islands, Indonesia |
title | Multi-hazard exposure mapping under climate crisis using random forest algorithm for the Kalimantan Islands, Indonesia |
title_full | Multi-hazard exposure mapping under climate crisis using random forest algorithm for the Kalimantan Islands, Indonesia |
title_fullStr | Multi-hazard exposure mapping under climate crisis using random forest algorithm for the Kalimantan Islands, Indonesia |
title_full_unstemmed | Multi-hazard exposure mapping under climate crisis using random forest algorithm for the Kalimantan Islands, Indonesia |
title_short | Multi-hazard exposure mapping under climate crisis using random forest algorithm for the Kalimantan Islands, Indonesia |
title_sort | multi-hazard exposure mapping under climate crisis using random forest algorithm for the kalimantan islands, indonesia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439166/ https://www.ncbi.nlm.nih.gov/pubmed/37596300 http://dx.doi.org/10.1038/s41598-023-40106-8 |
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