| Issue |
E3S Web Conf.
Volume 467, 2023
9TH-ICCC – The 9th International Conference on Climate Change
|
|
|---|---|---|
| Article Number | 02004 | |
| Number of page(s) | 6 | |
| Section | Strategy for Environmental Disaster Reduction Research | |
| DOI | https://doi.org/10.1051/e3sconf/202346702004 | |
| Published online | 20 December 2023 | |
Analyzing lead time for flood early warning system in the upstream Citarum River
1 Master Student of Water Resources Engineering, Faculty of Civil and Environmental Engineering, Bandung Institute of Technology, Ganesa Street, Number 10, Bandung 40132, West Java, Indonesia
2 Faculty of Civil and Environmental Engineering, Bandung Institute of Technology, FTSL Building, Ganesa Street, Number 10, Bandung 40132, West Java, Indonesia
3 Water Resources Development Center, Bandung Institute of Technology, Ganesa Street, Number 10, Bandung 40132, West Java, Indonesia
* Corresponding author: faizalrohmat@itb.ac.id
The Citarum River is a staple water source for the people of West Java, irrigating rice fields in West Java, generating electricity in Java and Bali, supplying water to Jakarta, and operating hydroelectric dams. West Java is prone to flooding because of the concave topography of the Upper Citarum. Floods in Majalaya and Sapan are typically of short duration, with water levels increasing rapidly. Therefore, implementing a predictive early warning system is essential for effective flood control. This study examines lead times utilizing Global Satellite Mapping of Precipitation (GSMaP) data, water levels, and discharge information to provide Majalaya and Sapan communities with early flood warnings and enable timely evacuations. The analysis reveals that Majalaya’s lead time is often less than an hour (with 76% incidence and 24% risk), while Sapan's lead time is commonly less than four hours (with 86% occurrence and 14% risk). Utilizing effective lead times enhances the preparation before a flood in the study area. Given the importance of pre-flood evacuation lead times, this research can inform the development of early warning systems in Indonesia, particularly in Majalaya and Sapan.
© 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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.