Abstract
This study aims to assess the agricultural drought risk for the period of 1960–2011 and to identify the sustainable adaptation measures in the western part of Bangladesh which is most drought-prone areas in the country. The MK test, Sen’s slope estimator, and ARIMA model have been applied to climatic variables for detecting the trends and forecasting future climate scenarios. The Markov chain analysis and Drought Vulnerability Index (DVI) have been used to generate the Drought Index (DI) and Drought Hazard Index (DHI). The pattern of drought risk is mapped by multiplying hazard and susceptibility indices. The annual average temperature in the area is about 25.44 °C, and the annual, as well as seasonal mean temperature is the lowest in north-east and the highest in the south-western part. The predicted annual mean temperatures vary from 24.47 to 26.75 °C and are higher than long term observed mean although the predicted spatial pattern will remain the same in the area. Drought poses a great risk in agriculture in the northern districts and comparatively low in the southern districts (coastal areas) and 21.64%, 26.53% and 29.67% of the area pose a very high, high, and modest risk respectively. Hence, it is urgent to act on adaptation measures in response to future climate change issues such as raising temperature and rainfall variability.
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References
Ahmed AU (2004) Adaptation to climate change in Bangladesh: learning by Doing. UNFCCC Workshop on Adaptation, Bonn
Ahmed R (1995) An investigation of drought risk in Bangladesh during the pre-monsoon season. In: Ninth conference on applied climatology, Dallas
Ahmed R, Bernard A (1989) Rice price fluctuation and an approach to price stabilization in Bangladesh. International Food Policy Research Institute, Washington
Alam JATM, Rahman MS, Saadat AHM (2013) Monitoring meteorological and agricultural drought dynamics in Barind region Bangladesh using standard precipitation index and Markov chain model. Int J Geometrics Geosci 3(3):511–524
Alam GMM, Alam K, Shahbaz M, Clarke ML (2017) Drivers of vulnerability to climatic change in riparian char and river-bank households in Bangladesh: implications for policy, livelihoods and social development. Ecol Ind 72:23–32
Alam GMM, Alam K, Mushtaq S, Khatun MN, Leal Filho W (2018) Strategies and barriers to adaptation of hazard-prone rural households in Bangladesh. In: Filho WL, Nalau J (eds) Limits to climate change adaptation, climate change management. Springer International Publishing AG, Cham, pp 11–24. https://doi.org/10.1007/978-3-319-64599-5_2
Alexander D (1995) Changing perspectives on natural hazards in Bangladesh. Nat Hazards Observer 10(1):1–2
Ali A (1996) Vulnerability of Bangladesh to climate change and sea level rise through tropical cyclones and storm surges. Water Air Soil Pollut 94(d):171–179
Allen RJ, DeGaetano AT (2001) Estimating missing daily temperature extremes using an optimized regression approach. Int J Climatol 21:1305–1319
Azad AS, Hasan MK, Rahman MAI, Rahman MM, Shahriar N (2012) Changing trends of climate in Bangladesh and a noble procedure of distribution of rainfall by clustering. In: International conference proceeding: Statistical data mining for bioinformatics, health, agriculture and environment, pp 405–411. ISBN: 978-984-33-5876-9
Balaji D, Sankar R, Karthi S (2002) GIS approach for disaster management through awareness-an overview. Paper presented at the proceedings of the 5th annual international conference-map India, New Delhi, 6–8 Feb 2002
Banglapedia (2003) Bangladesh asiatic society, Dhaka
Banik P, Mandal A, Rahman MS (2000) Markov chain analysis of weekly rainfall data in determining drought-proneness. Discrete Dyn Nat Soc 7:231–239
Bari MF, Anwar AHMF (2000) Effects on irrigated agriculture on groundwater quality in Northwestern Bangladesh. In: International proceedings of integrated water resources management for sustainable development, New Delhi, vol 1, pp 19–21
Barkotulla MAB (2007) Markov chain analysis of rainfall in determining agricultural drought of Barind region. Unpublished Ph.D. thesis, Department of Crop Science, University of Rajshahi, Bangladesh
BBS (2011) Statistical yearbook. Published by Bangladesh Bureau of Statistics, Dhaka
Benson C, Clay E (1998) The impact of drought on sub-saharan african economies, a preliminary examination. World Bank Technical Paper, no. 401, Washington D.C.
Blaikie PM, Cannon T, Davis I, Wisner B, Blaikie P (1994) At risk: natural hazards, people’s vulnerability and disasters. Routledge, New York
Brammer H (1987) Drought in Bangladesh: lessons for planners and administrators. Disasters 11(1):21–29
Burton I, Kates R, White G (1978) Environment as Hazard. Oxford University Press, New York
Croitoru AE, Holobaca IH, Lazar C, Moldovan F, Imbroane A (2012) Air temperature trend and the impact on winter wheat phenology in Romania. Clim Change 111(2):393–410
Das J, Gayen A, Saha P, Bhattacharya SK (2020a) Meteorological drought analysis using standardized precipitation index over Luni River Basin in Rajasthan, India. SN Appl Sci 2(9):1–17
Das J, Mandal T, Saha P (2019) Spatio-temporal trend and change point detection of winter temperature of North Bengal, India. Spat Inf Res 27(4):411–424
Das J, Mandal T, Saha P, Bhattacharya SK (2020b) Variability and trends of rainfall using non-parametric approaches: a case study of semi-arid area. MAUSAM 71(1):33–44
Das J, Rahman AS, Mandal T, Saha P (2020c) Exploring driving forces of large-scale unsustainable groundwater development for irrigation in lower Ganga River basin in India. Environ Dev Sustain 1–21
Das J, Rahman, ATMS, Mandal T, Saha P (2020d) Challenges for sustainable groundwater management for large scale irrigation under changing climate in Lower Ganga River Basin in India. Groundwater Sustain Dev 100449
Del RS, Herrero L, Pinto-Gomes C, Penas A (2011) Spatial analysis of mean temperature trends in Spain over the period 1961–2006. Global Planet Change 78:65–75
Downing TE, Bakker K (2000) Drought discourse and vulnerability. In: Wilhite (ed) Drought: a global assessment, vol 2, Routledge, London
Eischeid JK, Baker CB, Karl TR, Diaz HF (1995) The quality control of long-term climatological data using objective data analysis. J Appl Meteorol 34:2787–2795
Enders CK (2010) Applied missing data analysis. The Guilford Press, New York
Erickson NJ, Ahmad QK, Chowdhury AR (1993) Socio-economic implications of climate change for Bangladesh. Bangladesh Unnayan Parishad, Dhaka
Feller W (1957) An introduction to probability theory and its application, vol 1. Wiley, New York
Huq S, Ayers J (2007) Critical list: the 100 nations most vulnerable to climate change. Sustainable Development Opinion, IIED, London
Ingsrisawang L, Potawee D (2012) Multiple imputations for missing data in repeated measurements using MCMC and copulas. In: Proceedings of the international multi conference of engineers and computer scientist
Jabbar MA (1990) Causes and effects of drought/aridity in Bangladesh using remote sensing technology. In: Proceedings of ESCAP workshop on remote sensing technology in application to desertification/vegetation type mapping, Tehran
Jabbar MA, Chaudhury MU, Huda MHQ (1982) Causes and effects of increasing aridity in Northwest Bangladesh. In: Proceedings of first thematic conference on remote sensing of arid and semi-arid lands, Cairo, Egypt
Kampata JM, Parida BP, Moalafhi DB (2008) Trend analysis of rainfall in the headstreams of the Zambezi River Basin in Zambia. Phys Chem Earth 33:621–625
Kamruzzaman M, Kabir ME, Rahman ATMS, Jahan CS, Rahman MS, Mazumder QH (2016b) Modeling of agricultural drought risk pattern using Markov Chain and GIS in the western part of Bangladesh. Environ Dev Sustain 20:569–588. https://doi.org/10.1007/s10668-016-9898-0
Kamruzzaman M, Rahman ATMS, Jahan CS (2015) Adapting cropping systems under changing climate in NW Bangladesh. Lambert Academic Publishing, Germany
Kamruzzaman M, Rahman ATMS, Kabir ME, Jahan CS, Mazumder QH, Rahman MS (2016a) Spatio-temporal analysis of climatic variables in the western part of Bangladesh. Environ Dev Sustain 20:89–108
Karim Z, Iqbal MA (2001) Impact of land degradation in Bangladesh: changing scenario in agricultural land use. Bangladesh Agricultural Research Center, Dhaka
Karim Z, Ibrahim A, Iqbal A, Ahmed M (1990) Drought in Bangladesh agriculture and irrigation schedule for major crops. Bangladesh Agricultural Research Center, no 34. Dhaka
Kendall MG (1975) Rank correlation methods, 4th edn. Charles Griffin, London
Mandal T, Das J, Rahman, ATMS, Saha P (2020) Rainfall insight in Bangladesh and India: climate change and environmental perspective. In: Habitat, ecology and ekistics: case studies of human-environment interactions in India. Springer, Singapore
Mann HB (1945) Non-parametric tests against trend. Econometrica 13:245–259
Mazid MA, Mortimer MA, Riches CR, Orr A, Karmaker B, Ali A, Jabbar MA, Wade LJ (2005) Rice establishment in drought-prone areas of Bangladesh. In: Toriyama, Heong, Hardy (eds) Rice is life: scientific perspectives for the 21st century. International Rice Research Institute, Manila, Philippines
Medhi J (1981) Stochastic process. Wiley, NY
Nzewi EU (2001) Water resources, McGraw-Hill Publisher, pp 45–66
Olapido EO (1985) A comparative performance of three meteorological drought indices. Climatology 5:655–664
Paul BK (1998) Coping mechanisms practiced by drought victims (1994/5) in North Bengal, Bangladesh. Appl Geogr 18(4):355–373
Raghunath, HM 1995, Hydrology - Principles, Analysis, Design, New Age International Publisher, New Delhi
Rahman MS (1999a) A stochastic simulated first-order Markov chain model for daily rainfall at Barind, Bangladesh. J Interdisc Math 2(1):7–32
Rahman MS (1999b) Logistic regression estimation of a simulated Markov chain model for daily rainfall in Bangladesh. J Interdisc Math 2(1):33–40
Rahman MS (2001) Stochastic study of crop climate simulation modeling for environmental strategies and agricultural development of Bangladesh. Unpublished Ph.D. Thesis, University of Rajshahi, Bangladesh
Rahman ATMS, Kamruzzaman M, Jahan CS, Mazumder QH (2016) Evaluation of spatio-temporal dynamics of water table in NW Bangladesh-An integrated approach of GIS and statistics. Sustain Water Resour Manage 2(3): 297–312. https://doi.org/10.1007/s40899-016-0057-4
Ramamasy S, Baas S (2007) Climate variability and change: adaptation to drought in Bangladesh. A resource book and training guide, asian disaster preparedness center, food and agriculture organization of the United Nations, Rome
Saleh AFM, Mazid MA, Bhuiyan SI (2000) Agrohydrologic and drought-risk analyses of rainfed cultivation in northwest Bangladesh. In: Tuong, Kam, Wade, Pandey, Bouman, Hardy (eds) Characterizing and understanding rainfed environments, International Rice Research Institute, Manila, Philippines
Sen PK (1968) Estimates of the regression coefficient based on Kendall’s tau. J Am Stat Assoc 63:1379–1389
Shahid S, Behrawan H (2008) Drought risk assessment in the western part of Bangladesh. Nat Hazards 46:391–413
Shahid S, Khairulmaini OS (2009) Spatial and temporal variability of rainfall in Bangladesh. Asia-Pac J Atmos Sci 45(3):375–389
Shifteh SB, Ezani A, Tabari H (2013) Spatiotemporal trends of aridity index in arid and semi-arid regions of Iran. Theor Appl Climatol 111:149–160
Slocum TA (1999) Thematic cartography and visualization. Prentice Hall, New Jersey
Smith RM (1986) Comparing traditional methods for selecting class intervals on choropleth maps. Prof Geogr 38(1):62–67
Tabari H, Abghani H, Hosseinzadeh TP (2012) Temporal trends and spatial characteristics of drought and rainfall in arid and semiarid regions of Iran. Hydrol Processes
UNFCCC (2007) United Nations framework convention on climate change, Report of the conference of the parties on its thirteenth session-2007, Bali
Vaughan M (1987) The story of an African famine: gender and famine in twentieth century. Cambridge University Press, Cambridge, Malawi
Wilhite DA (2000) Drought as a natural hazard: concepts and definitions. In: Wilhite (ed) Drought: a global assessment, hazards and disasters: a series of definitive major works, Routledge, London
Woolhiser DA, Pegram GGS (1979) Maximum likelihood estimation of Fourier coefficients to describe seasonal variations of parameters in stochastic daily precipitation models. J Appl Meteorol 18:34–42
Zhang Q, Xu CY, Zhang Z, Chen YD, Liu CL (2008) Spatial and temporal variability of precipitation over China, 1951–2005. Theor Appl Climatol
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Kamruzzaman, M., Mandal, T., Rahman, A.T.M.S., Abdul Khalek, M., Alam, G.M.M., Rahman, M.S. (2021). Climate Modeling, Drought Risk Assessment and Adaptation Strategies in the Western Part of Bangladesh. In: Alam, G.M.M., Erdiaw-Kwasie, M.O., Nagy, G.J., Leal Filho, W. (eds) Climate Vulnerability and Resilience in the Global South. Climate Change Management. Springer, Cham. https://doi.org/10.1007/978-3-030-77259-8_2
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