Historical and Future Rainfall Variations in Bangladesh
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32797
Historical and Future Rainfall Variations in Bangladesh

Authors: M. M. Hossain, M. Z. Hasan, M. Alauddin, S. Akhter

Abstract:

Climate change has become a major concern across the world as the intensity along with quantity of the rainfall, mean surface temperature and other climatic parameters have been changed not only in Bangladesh but also in the entire globe. Bangladesh has already experienced many natural hazards. Among them changing of rainfall pattern, erratic and heavy rainfalls are very common. But changes of rainfall pattern and its amount is still in question to some extent. This study aimed to unfold how the historical rainfalls varied over time and how would be their future trends. In this context, historical rainfall data (1975-2014) were collected from Bangladesh Metrological Department (BMD) and then a time series model was developed using Box-Jenkins algorithm in IBM SPSS to forecast the future rainfall. From the historical data analysis, this study revealed that the amount of rainfall decreased over the time and shifted to the post monsoons. Forecasted rainfall shows that the pre-monsoon and early monsoon will get drier in future whereas late monsoon and post monsoon will show huge fluctuations in rainfall magnitudes with temporal variations which means Bangladesh will get comparatively drier seasons in future which may be a serious problem for the country as it depends on agriculture.

Keywords: Monsoon, Pre-monsoon, rainfall, pattern, variations, IBM-SPSS.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1132733

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1279

References:


[1] M. Hulme, T. J. Osborn, and T. C. Johns, “Precipitation sensitivity to global warming: Comparison of observations with HadCM2 simulations,” Geophys. Res. Lett., vol. 25, p. 3379, 1998.
[2] G. Fu, N. R. Viney, S. P. Charles, and J. Liu, “Long-Term Temporal Variation of Extreme Rainfall Events in Australia: 1910–2006.,” J. Hydrometeorol., vol. 11, no. 4, pp. 950–965, 2010.
[3] A. Khan, “Bangladesh – The Most Climate Vulnerable Country,” The World Bank, 2013. .
[4] R. S. J. Tol, “The economic impact of climate change in the 20th and 21st centuries,” Clim. Change, vol. 117, no. 4, pp. 795–808, 2013.
[5] M. Hossain, K. Roy, and D. Datta, “Spatial and Temporal Variability of Rainfall over the South-West Coast of Bangladesh,” Climate, vol. 2, no. 2, pp. 28–46, 2014.
[6] A. Aziz, I. Hossain, and N. F. Rahman, “Effects Of Rainfall And Maximum Temperature On Aman Rice Production Of Bangladesh : A Case Study For Last Decade,” Dep. Environ. Dhaka, vol. 3, no. 2, pp. 131–137, 2014.
[7] J. K. Basak, “Changing Rainfall Pattern Effects on Water Requirement of T . Aman Cultivation in Bangladesh,” vol. 11, no. June, pp. 1–8, 2011.
[8] J. De Dios Miranda, F. M. Padilla, R. Lázaro, and F. I. Pugnaire, “Do changes in rainfall patterns affect semiarid annual plant communities?,” J. Veg. Sci., vol. 20, no. 2, pp. 269–276, 2009.
[9] M. Beyer, M. Wallner, L. Bahlmann, V. Thiemig, J. Dietrich, and M. Billib, “Rainfall characteristics and their implications for rain-fed agriculture: a case study in the Upper Zambezi River Basin,” Hydrol. Sci. J., p. 150527103244004, 2014.
[10] R. Sikder and J. Xiaoying, “Climate Change Impact and Agriculture of Bangladesh,” J. Environ. Earth Sci., vol. 4, no. 1, pp. 35–40, 2014.
[11] M. Hossain, K. Roy, and D. Datta, “Spatial and Temporal Variability of Rainfall over the South-West Coast of Bangladesh,” Climate, vol. 2, no. 2, pp. 28–46, 2014.
[12] M. Hashizume et al., “The effect of rainfall on the incidence of cholera in Bangladesh.,” Epidemiology, vol. 19, no. 1, pp. 103–110, 2008.
[13] J. K. Basak, R. A. M. Titumir, and N. C. Dey, “Climate change in Bangladesh: A historical analysis of temperature and rainfall data,” J. Environ., vol. 2, no. 2, pp. 41–46, 2013.
[14] S. Farhana, “Characterizing rainfall trend in Bangladesh by temporal statistics analysis,” 4th Annu. Pap. Meet 1st Civ. Eng. Congr., pp. 978–984, 2011.
[15] Z. Hasan, S. Akhter, and A. Kabir, “Analysis of Rainfall Trends in the South-East Bangladesh,” vol. 3, no. 4, pp. 51–56, 2014.
[16] M. Roy, “Time Series, Factors and Impacts Analysis of Rainfall in North-Eastern Part in Bangladesh,” Int. J. Sci. Res. Publ., vol. 3, no. 8, p. 129, 2013.
[17] A. Mannana, A. M. Chowdhury, and S. Karmakar, “Long-range and short-range prediction of Rainfall and Rainy days over northwestern part of Bangladesh during Monsoon Season,” in International Conference on Physics Sustainable Development & Technology (ICPSDT-2015), 2015, pp. 47–53.
[18] M. R. Rahman and H. Lateh, “Climate change in Bangladesh: a spatio-temporal analysis and simulation of recent temperature and rainfall data using GIS and time series analysis model,” Theor. Appl. Climatol., pp. 1–15, 2015.
[19] S. Shahid, “Rainfall variability and the trends of wet and dry periods in Bangladesh,” Int. J. Climatol., vol. 30, no. 15, pp. 2299–2313, 2010.
[20] S. H. Bari, M. T. Rahman, M. M. Hussain, and S. Ray, “Forecasting Monthly Precipitation in Sylhet City Using ARIMA Model,” Civ. Environ. Res., vol. 7, no. 1, pp. 69–78, 2015.
[21] S. Banik, F. H. Chanchary, K. Khan, R. A. Rouf, and M. Anwer, “Neural network and genetic algorithm approaches for forecasting bangladeshi monsoon rainfall,” in 2008 11th International Conference on Computer and Information Technology, 2008, vol. 2, no. 1, pp. 735–740.
[22] M. Alam, “Process Development for Hydrological Region- wide Integrated Water Resources Management Model in Bangladesh,” Asian J. Appl. Sci. Eng., vol. 4, no. 2, pp. 137–146, 2015.
[23] B. Guha and G. Bandyopadhyay, “Gold Price Forecasting Using ARIMA Model,” J. Adv. Sci., vol. 4, no. 2, pp. 117–121, 2016.
[24] M. Ranjbar and M. Khaledian, “Using Arima Time Series Model in Forecasting the Trend of Changes in Qualitative Parameters of Sefidrud River,” Int. Res. J. Appl. Basic Sci., vol. 8, no. 3, pp. 346–351, 2014.
[25] D. Şchiopu, E. G. Petre, and C. Negoińă, “Weather Forecast using SPSS Statistical Methods,” vol. LXI, no. 1, pp. 97–100, 2009.
[26] IBM Corporation, “IBM SPSS Forecasting 22,” p. 48, 2012.
[27] SAS Institute Inc., “The ARIMA Procedure,” SAS/ETS® 13.2 User’s Guid., pp. 186–298, 2014.