Rainfall Prediction in South-Eastern Part of Bangladesh by Linear Regression Method

Mohammad Shohidul Islam, Sultana Easmin Siddika, S M Injamamul Haque Masum


Rainfall forecasting is very challenging task for the meteorologists. Over the last few decades, several models have been utilized, attempting the successful analysing and forecasting of rainfall. Recorded climate data can play an important role in this regard. Long-time duration of recorded data can be able to provide better advancement of rainfall forecasting. This paper presents the utilization of statistical techniques, particularly linear regression method for modelling the rainfall prediction over Bangladesh. The rainfall data for a period of 11 years was obtained from Bangladesh Meteorological department (BMD), Dhaka i.e. that was surface-based rain gauge rainfall which was acquired from 08 weather stations over Bangladesh for the years of 2001-2011. The monthly and yearly rainfall was determined. In order to assess the accuracy of it some statistical parameters such as average, meridian, correlation coefficients and standard deviation were determined for all stations. The model prediction of rainfall was compared with true rainfall which was collected from rain gauge of different stations and it was found that the model rainfall prediction has given good results.

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Mallika Roy, “Time Series, Factors and Impacts Analysis of Rainfall in Bangladesh,’’ International Journal of Scientific and Research Publications, ISSN 2250-3153, Volume 3, Issue 8, August 2013.

Mohammad Shohidul Islam, “Satellite Rainfall Estimation in the South-Eastern Part of Bangladesh,’’ International Journal of Scientific & Engineering Research, Volume 4, Issue 6, June-2013.

Islam, S, “National Encyclopedia of Bangladesh,’’ Asiatic Society of Bangladesh, Banglapedia, 2003.

Islam, M.S.; Hasan, G.M.J.; and Chowdhury, M.A.I. “Destroying hills in the north-eastern part of Bangladesh: A qualitative assessment of extent of the problem and its probable impact,’’ International Journal of Environmental Science and Technology, 2(4), 301-308, 2005.

Klaush Juliseh, “Data mining for Intrusion Detection – A critical review”, Applications of Data mining in computer security, Daniel Barbara, Sushil jajodia, Published by Springer

Guhathakurta, P, “Long-range monsoon rainfall prediction of 2005 for the districts and sub-division Kerala with artificial neural network”, Current Science, 90, 773-779, 2005.

D. Mark, “Geographical information science; critical issues in an emerging cross – disciplinary Research domain”, URISA Journal, vol. 12, February 1999.

Tamil Nadu Meteorology Department, Chennai.

European Commission, “Forest Fires in Europe 2007, Technical report, Report No. 8, 2008

DOI: https://doi.org/10.23956/ijermt.v6i6.255


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