| Issue |
E3S Web Conf.
Volume 464, 2023
The 2nd International Conference on Disaster Mitigation and Management (2nd ICDMM 2023)
|
|
|---|---|---|
| Article Number | 01001 | |
| Number of page(s) | 14 | |
| Section | Disaster Monitoring and Mitigation | |
| DOI | https://doi.org/10.1051/e3sconf/202346401001 | |
| Published online | 18 December 2023 | |
Probability of hotspots emergence using Consecutive Dry Days (CDD) in West Kalimantan
1 Department of Meteorology, State College of Meteorology Climatology and Geophysics, Indonesia
2 Department of Climatology, State College of Meteorology Climatology and Geophysics, Indonesia
* Corresponding author: okta.veanti@stmkg.ac.id
West Kalimantan has experienced significant loss of wet primary forests in recent years. During 2017-2021, the region also faced considerable forest and land fires compared to other areas in Kalimantan. Factors such as low rainfall and prolonged drought have contributed to the occurrence of forest fire. This research was conducted using daily rainfall data at 127 observation points and hotspot data during 2012 to 2021. The research results show monthly CDD characteristics in West Kalimantan, with the highest number of CDD occurring in Kubu Raya Regency for 126 days and the lowest in Kayong Utara, Melawi, Kubu Raya, Sambas, Kapuas Hulu, Bengkayang, Mempawah, Sintang, and Pontianak City for 3 days. The hotspot distribution pattern indicates the highest number of hotspots occurring in August throughout the 10-year period. Hotspots probability varies for each CDD category: very short CDD has a probability ranging from 0.01 to 0.11, short CDD has a probability ranging from 0.03 to 0.33, moderate CDD has a probability ranging from 0.03 to 0.38, long CDD has a probability ranging from 0.00 to 0.53, very long CDD has a probability ranging from 0.00 to 0.43, and extremely long CDD has a probability ranging from 0.10 to 0.48.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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