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Journal of Engineering and Applied Sciences

Long-Term Daily Rainfall Pattern in Peninsular Malaysia
Rado Yendra, Anofrizen , Wan Zawiah Wan Zin, Abdul Aziz Jemain and Ahmad Fudholi

Abstract: This study aims to investigate the daily rainfall pattern over a 39 year period (1970-2008) using data from 50 selected rainfall stations. The trends and spatial pattern of the daily rainfall data in Peninsular Malaysia based on seasonal rainfall indices. The storm behaviors comprising of the Arrivals Storm (AS), the Number of Raincells (NR), the Raincells Intensity (RI) and the Raincells Duration (RD) will be used to analyze during the monsoon seasons. Due to the limited number of stations, the geostatistical method of ordinary kriging is used to compute the values of properties of storm and to map their spatial distribution. The findings of this study indicate that there were differences in spatial distribution of arrival storm over Peninsula during both seasons with highest rate arrival storm over the East compared to other regions during South West Monsoon (SWM). In contrast, the rate arrival storm significantly decreasing over the East regions during North East Monsoon (NEM). The storm is more common in NEM season than SWM season. In terms of number of raincells, it can be concluded that the spatial distribution rate number of raincells during NEM season higher than SWM season. In contrast, the spatial distribution the rate raincells intensity during NEM seasons lower than SWM season. However, no significant differences in raincells duration during both seasons over Peninsula. This finding explains the occurrence of a large number of floods and soil erosions would more likely occur in the NEM, especially in the South West and East region. Therefore, precautionary measures should be taken earlier to prevent any massive destruction of property and loss of life due to the hazards.

How to cite this article
Rado Yendra, Anofrizen , Wan Zawiah Wan Zin, Abdul Aziz Jemain and Ahmad Fudholi, 2017. Long-Term Daily Rainfall Pattern in Peninsular Malaysia. Journal of Engineering and Applied Sciences, 12: 7640-7648.

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