Charles Hin Joo, Bong and S.C., Liew and M., Neging and E., Matthew Ruji and D., Gabda (2022) Statistical and Trend Analysis of Annual Maximum Daily Rainfall (AMDR) for Kuching City, Sarawak, Malaysia. In: Proceedings of the 5th International Conference on Water Resources (ICWR) – Volume 1 , Current Research in Water Resources, Coastal and Environment. Lecture Notes in Civil Engineering (293). Springer, Singapore, pp. 3-14. ISBN 978-981-19-5946-2
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Abstract
Kuching city and its surrounding urban areas frequently experience extreme high annual maximum daily rainfall (AMDR), resulting in flash floods. This study aims to carry out statistical and trend analysis of extreme AMDR events for Kuching Airport rainfall station from 1975 to 2017. From the analysis, the AMDR records a high variability with a value of 36.9% while January has the highest occurrence of AMDR with 53.5% of the total data. Findings from the linear regression plot have shown that the AMDR has a slight decreasing trend over the past four decades though the trend was insignificant. Based on the drainage design capacity of Kuching city, AMDR of magnitude 180 mm was identified as a threshold. The frequency analysis results showed that the return period of flooding events with daily rainfall exceeding 180 mm was 2.69 years. The occurrence probability of the flood event at least once in 1, 2, 3, 4 and 5 years was 0.37, 0.60, 0.75, 0.84 and 0.90, respectively. This study contributed to understanding the magnitude and frequency of extreme high AMDR which could lead to flooding events in Kuching city.
Item Type: | Book Chapter |
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Uncontrolled Keywords: | Annual maximum daily rainfall; Climate change; Extreme events; Rainfall trend; Urban drainage. |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TC Hydraulic engineering. Ocean engineering |
Divisions: | Academic Faculties, Institutes and Centres > Faculty of Engineering Faculties, Institutes, Centres > Faculty of Engineering |
Depositing User: | Hin Joo |
Date Deposited: | 18 Oct 2022 01:33 |
Last Modified: | 18 Oct 2022 01:33 |
URI: | http://ir.unimas.my/id/eprint/40168 |
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