Multiple Correlation Between Rainfall of Post-Monsoon Season and the Different Meteorological Parameters of the Monsoon Season Over Bangladesh

Abstract

In this thesis work attempt has been made to investigate the correlation between the monthly and seasonal rainfall of post monsoon with the dry bulb and wet bulb temperature and rainfall of different months of monsoon and the season itselt First of all the raw data, collected &oni BMD, has been processed to obtain monthly and seasonal average of them. Also the standard deviation in terms of months and seasons have been computed. Using the processed data the correlation coefficients have been computed. We have considered 30 stations all over Bangladesh under all 6 divisions during 1951 - 2000. The computations are made station wise. In this process we have analyzed the following topics: - Averages dry bulb temperature (DBT) and wet bulb temperature (WBT) of the month of June, July, August and September and of monsoon season. Average rainfall of the month of June, July, August, September, October and November and of monsoon and post monsoon season. • The Standard deviation of all the above mentioned cases. • Correlation coefficients between the monthly I seasonal rainfall of post monsoon and monthly / seasonal DBT, WBT and rainfall of monsoon season. Correlation coefficients between the monthly / seasonal rainfall of post monsoon and monthly / seasonal DBT & WBT, WBT & rainfall, DBT & rainfall of monsoon season. And finally correlation coefficients between the monthly / seasonal rainfall of post monsoon and monthly / seasonal DBT, WB'I' & rainfall of monsoon season. From the analysis we have found that in October the amount of rainfall at Sandwip and Patuakhali is the highest and that in the November is at Bhola and Cox's Bazar region. In November the Standard deviation of average rainfall is comparatively high in the southern region. We also observe that November rainfall and WBT of monsoon months are positively correlated except northeast-southern region in July and northeast and Bhola region in June and August of the country. Also regression equations have been developed on considering October and Novcmbcr rainthll as dependent variable and dry bulb temperature, wet bulb temperature and rainfall of monsoon as independent variables. Where the correlation coefficients are high, there these equations will be useful for the prediction purpose.