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Bangladesh; GIS; <a title="https://www.omicsonline.org/open-access/it-technologies-for-science-application-using-meteorological-local-area-model-to-contrast-the-hydrogeological-risks-2157-7587-1000284-97397.html" href="https://www.omicsonline.org/open-access/it-technologies-for-science-application-using-meteorological-local-area-model-to-contrast-the-hydrogeological-risks-2157-7587-1000284-97397.html" target="_blank">Meteorological</a> drought; Rainfall data; Spatial analysis; SPI| Abstract Meteorological drought; Rainfall data; Spatial analysis; SPI Abstract."> Meteorological drought; Rainfall data; Spatial analysis; SPI"> Meteorological drought; Rainfall data; Spatial analysis; SPI"/>
ISSN: 2157-7617

Journal of Earth Science & Climatic Change
Open Access

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  • Research Article   
  • J Earth Sci Clim Change,
  • DOI: 10.4172/2157-7617.1000457

Bangladesh; GIS; Meteorological drought; Rainfall data; Spatial analysis; SPI

Abdullah Al-Mamun1*, Md. Niaz Farhat Rahman1, Md. Abdullah Aziz1, Md. Abdul Qayum1, Md. Ismail Hossain1, Sheikh Arafat Islam Nihad2 and Md. Shahjahan Kabir3
1Agricultural Statistics Division, Bangladesh Rice Research Institute, , Bangladesh
2Plant Pathology Division, Bangladesh Rice Research Institute, , Bangladesh
3Directorate General, Bangladesh Rice Research Institute, , Bangladesh
*Corresponding Author : Abdullah Al-Mamun, Agricultural Statistics Division, Bangladesh Rice Research Institute, Bangladesh, Tel: +8801881787918, Email: mamunru4777@gmail.com

Received Date: Feb 22, 2018 / Accepted Date: Mar 23, 2018 / Published Date: Mar 27, 2018

Abstract

The Standardized Precipitation Index (SPI) was computed in three different cropping seasons namely, Pre-Kharif, Kharif and Rabi based on the monthly precipitation data of thirty-five meteorological stations over Bangladesh during the period 1980–2015. In this study, different features of meteorological drought including frequency of drought, dry and wet periods, percentage of drought area, temporal and spatial variations of drought in Bangladesh were examined. The results revealed that the most significant increasing trend of drought area was found in Rabi season (8.66% per decade) and decreasing trend was found in Kharif season (2.47% per decade). In Kharif season, the trend of drought area was found increasing in northern region with a rate of 2.63% per decade where central region, eastern region and southern and western region were decreasing with a rate of 1.06%, 3.02% and 3.02% per decade, respectively. All drought affected areas were experienced by moderate, severe and extreme droughts in several years during the study period in three seasons. The significant drought events were found in 1992, 2008, 2012 and 2014 in Pre-Kharif, 1981, 1985, 1992, 1994, 2006 and 2012 in Kharif and 1985, 1986, 2005, 2006, 2009, 2010 and 2012 in Rabi season. Some areas of southern and western regions, central regions, eastern regions and most of the northern region were more vulnerable to meteorological drought. Major finding of this study was Pre-Kharif and Rabi season were the most vulnerable to meteorological drought that indicates high seasonal rainfall anomaly in most of the regions of Bangladesh.

Keywords: Bangladesh; GIS; Meteorological drought; Rainfall data; Spatial analysis; SPI

Citation: Al-Mamun A, Rahman MNF, Aziz MA, Qayum MA, Hossain MI, et al. (2018) Identification of Meteorological Drought Prone Area in Bangladesh using Standardized Precipitation Index. J Earth Sci Clim Change 9: 457. Doi: 10.4172/2157-7617.1000457

Copyright: © 2018 Al-Mamun A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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