Worst Month Rain Rate Analysis in Malaysia from 2017 to 2019

Abstract

The degradation of radio wave signals in the frequency band more than 10 GHz is due to the factor of high rainfall intensity in tropical climates.Therefore, the prediction of rainfall attenuation on the propagation of using 1 minute intgration time of rainfall rate is important. This study uses 60 minute intergration time of rain rate ,observed at 10 station of the Deparment Irrigation and Drainange Malaysia through out Malaysia in a period of 3 years fro 2017. The Segal’s model was selected as the 1 minute integrated rainfall data conversion method due to the small probability error as well as the suitability for the tropics. The worst month rainfall distribution forecast was implemented by choosing the ITU-R model P.184-5. The result of this study has found that Sarawak showed the highest rain rate value compared to the Peninsular Malaysia. Apart from that, the worst month rain rate forecast also found the value of worst month coefficient, Q1 and β proposed by the International Union Telecommunication (ITU-R) model are not suitable for Malaysia where the new parameter value for Q1 and β were obtained so that better estimation for the worst month statistic could be published. The results of this study are not only in preparation for flooding but can also be used as a guideline in designing a more efficient satellite communications system.