Analysis of the statistical behaviour of daily maximum and monthly average rainfall along with rainy days variation in Sylhet,Bangladesh

Climate,one of the major controlling factors for well being of the inhabitants in the world,has been changing in accordance with the natural forcing and manmade activities. bangladesh,the most densely populated countries in the world is under threat due to climate change caused by excessive use or abuse of ecology and natural resources. this study checks the rainfall patterns and their associated changes in the north-eastern part of bangladesh mainly sylhet city through statistical analysis of daily rainfall data during the period of 1957 -2006. it has been observed that a good correlation exists between the monthly mean and daily maximum rainfall. a linear regression analysis of the data is found to be significant for all the months. some key statistical parameters like the mean values of coefficient of variability (cv),relative variability (rv) and percentage inter-annual variability (piv) have been studied and found to be at variance. monthly,yearly and seasonal variation of rainy days also analysed to check for any significant changes. © school of engineering,taylor’s university.