| Issue |
E3S Web Conf.
Volume 688, 2026
The 2nd International Conference on Sustainable Environment, Development, and Energy (CONSER 2025)
|
|
|---|---|---|
| Article Number | 01019 | |
| Number of page(s) | 8 | |
| Section | The Role of Geosciences in Sustainability, Disaster Mitigation, and Resource Management | |
| DOI | https://doi.org/10.1051/e3sconf/202668801019 | |
| Published online | 20 January 2026 | |
Characterizing the extreme and heavy rainfall events in the Serang catchment, Indonesia using satellite data
1 Department of Geoinformation, Universiti Teknologi Malaysia, Johor Bahru, Malaysia
2 Department of Geological Engineering, Institut Teknologi Nasional Yogyakarta (ITNY), Caturtunggal, Depok, Sleman, 55281, Yogyakarta, Indonesia
3 Research Center for Hydrodynamics Technology, Research Organization for Energy and Manufacture, National Research and Innovation Agency (BRIN), Tangerang Selatan, Indonesia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
This study analyses the characteristics of heavy and extreme rainfall in the Serang Watershed, Kulon Progo, during 2019-2021 by combining observational rainfall data with GSMaP satellite data. Intensity, duration, and frequency (IDF) analysis was used to understand rainfall dynamics in a tropical region influenced by the monsoon and the topography of the Menoreh Hills. The results show a bimodal rainfall pattern with peaks in March and December, while June-August is very dry. Short-duration extreme rainfall (>30 mm/hour) occurs mainly at the beginning and end of the rainy season, related to convective and/or orographic processes. Stations at high elevations record greater rainfall and higher rainfall intensity than those at low elevations. Comparison with GSMaP shows a significant positive bias in rainfall duration and total rainfall, as well as low temporal correlation due to satellite limitations in detecting local convective rainfall. These findings suggest that hydrological risks in the Serang Catchment are more influenced by the intensity and duration of extreme rainfall than by total annual rainfall. Integration of bias-corrected observational and satellite data is needed to improve the accuracy of extreme rainfall estimates and to support flood mitigation, erosion control, and watershed management.
© The Authors, published by EDP Sciences, 2026
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