| Issue |
BIO Web Conf.
Volume 201, 2025
The 6th International Conference on Bioenergy and Environmentally Sustainable Agriculture Technology (ICoN-BEAT 2025)
|
|
|---|---|---|
| Article Number | 01001 | |
| Number of page(s) | 11 | |
| Section | Environmental & Bio Energy | |
| DOI | https://doi.org/10.1051/bioconf/202520101001 | |
| Published online | 08 December 2025 | |
Assessing Rainfall Variability in A Tropical Monsoon Watershed: Evidence from The Brantas Watershed, Indonesia
Forestry Department, University of Muhammadiyah Malang, 65144 Malang, Indonesia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
The aim of this study is to address the limited understanding of spatial-temporal climate change dynamics in the tropical monsoon watershed, which is critical for effective watershed management and climate resilience planning. The aim of this study is to assess rainfall variability in the tropical monsoon watershed with a case study in the Brantas watershed, Indonesia. The research was conducted in the Brantas Watershed, East Java, Indonesia. Data collection for rainfall data used CHIRPS (Climate Hazards Group InfraRed Precipitation with Station Data) with 5 km resolution. The analysis of rainfall trends was carried out using regression analysis, while the analysis of differences between rainfall in the two decades 2005-2014 and 2015-2024 was carried out using the t-test. Results indicate rainfall variability was high but not statistically significant, suggesting complex dynamics influenced by monsoonal cycles and ENSO phenomena. Rainfall data show that from 2005 to 2024, there is an increasing trend. These findings highlight the urgent need for integrating adaptive watershed governance, including community-based climate resilience strategies, into local water resource management policies to mitigate climate change impacts on the Brantas Watershed.
© The Authors, published by EDP Sciences, 2025
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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