Issue |
MATEC Web Conf.
Volume 276, 2019
International Conference on Advances in Civil and Environmental Engineering (ICAnCEE 2018)
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Article Number | 04012 | |
Number of page(s) | 8 | |
Section | Hydraulic and Water Resource Engineering | |
DOI | https://doi.org/10.1051/matecconf/201927604012 | |
Published online | 15 March 2019 |
Hourly rainfall distribution patterns in Java island
Department of Civil Engineering, Universitas Brawijaya, Malang, Indonesia
* Corresponding author: sebastianus.priambodo@yahoo,com
Nowadays, water resources management development not only sees from the side of excess or lack of water in quantity, but already includes aspects of quality, health, aesthetics, comfort and environmental sustainability. The problems faced by urban areas are the disruption of activities due to flood events. The opportunities for flooding depend on climate and global weather behaviour. The magnitude of the flood depends on the rain with certain characteristic that is generally seen from the intensity and duration of rain events. While the magnitude of losses due to floods depends on the magnitude of the flood and the level of economic development of the region concerned. This paper discusses the importance of understanding the short duration of rain characteristics as well as its response to flood discharge plans in both micro and macro-depleting systems in urban areas. With this understanding, it is expected that handling actions at various levels of the disaster cycle can be well anticipated so that the negative impacts that may arise can be minimized. Characteristic analysis of short duration rainfall is done by looking at the pattern of hourly rainfall distribution occurring in several rainfall observation stations in Java Island. The Mononobe equation is used to see the level of compatibility of the rainfall distribution pattern with RMSE, NMSE and MAE score indicators. The analysis results show the reliability level of Mononobe equation for the hydrology analysis in the location which has no short duration rainfall data.
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