Abstract
Spatial and temporal assessment of drought hazard over the Krishna River basin of India has been performed using long-term (January 1901–December 2002) precipitation and temperature data. Various meteorological drought indices such as the Standardized Precipitation Index, Standardized Precipitation Evapotranspiration Index, Standardized Effective Precipitation Evapotranspiration Index and Reconnaissance Drought Index (RDI) have been evaluated on a 12-month timescale for assessment of the drought hazard. Various physical drought characteristics such as the maximum drought magnitude, maximum drought duration and probability of occurrence of droughts, i.e., drought frequency, are also analyzed for the Krishna River basin. Analysis led to identification of major dry periods from the evaluated drought characteristics and generation of spatial maps of magnitude, duration and intensity for each index for each of the dry periods. The socioeconomic aspects of drought have also been explored by analyzing drought hazard, vulnerability and risk which are mapped spatially to evaluate drought susceptibility of various regions in the basin. The study revealed a positive correlation between the maximum drought magnitude, drought duration and drought risk, and an indirect proportionality between drought intensities and drought frequency. The analysis of physical drought characteristics revealed that the RDI deviated significantly from the remainder indices. The importance of socioeconomic variables is also highlighted as districts having normal meteorological conditions became the hotspots of drought risk because of sensitive demographics in the study basin.
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Beguería S, Vicente-Serrano SM, Reig F, Latorre B (2014) Standardized precipitation evapotranspiration index (SPEI) revisited: parameter fitting, evapotranspiration models, tools, datasets and drought monitoring. Int J Climatol 34:3001–3023. https://doi.org/10.1002/joc.3887
Bisht DS, Sridhar V, Mishra A, Chatterjee C, Raghuwanshi NS (2019) Drought characterization over India under projected climate scenario. Int J Climatol 39(4):1889–1911
Bonsal BR, Cuell C, Wheaton E, Sauchyn DJ, Barrow E (2017) An assessment of historical and projected future hydro-climatic variability and extremes over southern watersheds in the Canadian Prairies. Int J Climatol 37(10):3934–3948. https://doi.org/10.1002/joc.4967
Brooks N, Adger WN, Kelly PM (2005) The determinants of vulnerability and adaptive capacity at the national level and the implications for adaptation. Glob Environ Change 15(2):151–163
Carrão H, Naumann G, Barbosa P (2016) Mapping global patterns of drought risk: an empirical framework based on sub-national estimates of hazard, exposure and vulnerability. Glob Environ Change 39:108–124
Chen H, Sun J (2017) Characterizing present and future drought changes over eastern China. Int J Climatol 37:138–156. https://doi.org/10.1002/joc.4987
Dibike Y, Prowse T, Bonsal B, O’Neil H (2017) Implications of future climate on water availability in the western Canadian river basins. Int J Climatol 37(7):3247–3263
Fauzi MF, Rauf UA, Din WW, Hussin AG (2017) Evaluation of wet indices using standard precipitation index: a case study of Terengganu states. J Phys Conf Ser 890(1):012159
Feng S, Trnka M, Hayes M, Zhang Y, Feng S, Trnka M, Hayes M, Zhang Y (2017) Why do different drought indices show distinct future drought risk outcomes in the U.S. Great plains? J Clim 30(1):265–278. https://doi.org/10.1175/JCLI-D-15-0590.1
Galla SN (2018) A comparative analysis of regional drought characterization over Krishna River basin in India using potential and actual evapotranspiration, AOGS-2018
Gao X, Zhao Q, Zhao X, Wu P, Pan W, Gao X, Sun M (2017) Temporal and spatial evolution of the standardized precipitation evapotranspiration index (SPEI) in the Loess Plateau under climate change from 2001 to 2050. Sci Total Environ 595:191–200. https://doi.org/10.1016/J.SCITOTENV.2017.03.226
Gaur A, McCornick PG, Turral H, Acharya S (2008) Implications of drought and water regulation in the Krishna basin, India. Int J Water Resour Dev 23(4):583–594
Gupta V, Jain MK (2017) Spatio-temporal analysis of trends and periodicities of regional drought projections in India. In: EGU general assembly conference abstracts, vol 19, p 15327
Gupta V, Jain MK (2018) Investigation of multi-model spatiotemporal mesoscale drought projections over India under climate change scenario. J Hydrol 567:489–509
Huang J, Zhai J, Jiang T, Wang Y, Li X, Wang R, Xiong M, Su B, Fischer T (2018) Analysis of future drought characteristics in China using the regional climate model CCLM. Clim Dyn 50(1–2):507–525. https://doi.org/10.1007/s00382-017-3623-z
Ionita M, Scholz P, Chelcea S (2016) Assessment of droughts in Romania using the Standardized Precipitation Index. Nat Hazards 81(3):1483–1498
Jain VK, Jain MK, Pandey RP (2014) Effect of the length of the streamflow record on truncation level for assessment of streamflow drought characteristics. J Hydrol Eng 19(7):1361–1373
Jain VK, Pandey RP, Jain MK, Byun HR (2015) Comparison of drought indices for appraisal of drought characteristics in the Ken River Basin. Weather Clim Extremes 8:1–11
Krishna basin report (Version 2.0) (2014) Ministry of water resource, Government of India. Retrieved From http://india-wris.nrsc.gov.in/Publications/BasinReports/Krishna%20Basin.pdf. Accessed 10 Jan 2019
Kumar KK, Kumar KR, Ashrit RG, Deshpande NR, Hansen JW (2004) Climate change impacts on agriculture. Int J Climatol 24:1375–1393
Maccioni P, Kossida M, Brocca L, Moramarco T (2015) Assessment of the drought hazard in the Tiber River basin in central Italy and a comparison of new and commonly used meteorological indicators. J Hydrol Eng 20(8):05014029. https://doi.org/10.1061/(asce)he.1943-5584.0001094
Mahajan DR, Dodamani BM (2015) Trend analysis of drought events over upper Krishna basin in Maharashtra. Aqua Procedia 4:1250–1257
Mahajan DR, Dodamani BM (2016) Spatial and temporal drought analysis in the Krishna river basin of Maharashtra, India. Cogent Eng 3:1185926
McKeeTB, Doesken NJ, Kleist J (1993) The relationship of drought frequency and duration of time scales. In: Eighth conference on applied climatology, american meteorological society, 17–23 Jan 1993, Anaheim CA, pp 179–186
Metzger MJ, Rounsevell MDA, Acosta-Michlik L, Leemans R, Schröter D (2006) The vulnerability of ecosystem services to land use change. Agric Ecosyst Environ 114(1):69–85
Mirabbasi R, Anagnostou EN, Fakheri-Fard A, Dinpashoh Y, Eslamian S (2013) Analysis of meteorological drought in northwest Iran using the Joint Deficit Index. J Hydrol 492:35–48
Mishra AK, Desai VR (2005) Drought forecasting using stochastic models. Stoch Env Res Risk Assess 19(5):326–339
Mishra AK, Singh VP (2010) A review of drought concepts. J Hydrol 391(1–2):202–216
Oguntunde PG, Abiodun BJ, Lischeid G (2017) Impacts of climate change on hydro-meteorological drought over the Volta Basin, West Africa. Glob Planet Change 155:121–132. https://doi.org/10.1016/J.GLOPLACHA.2017.07.003
Rajsekhar D, Singh VP, Mishra AK (2015) Integrated drought causality, hazard, and vulnerability assessment for future socioeconomic scenarios: an information theory perspective. J Geophys Res 120(13):6346–6378
Rao AS, Padhi J, Das B (2017) Assessment of drought in the Balangir district of Odisha, India using drought indices. Clim Change Impacts 82:273–291
Saaty TL (1977) Scaling method for priorities in hierarchical structure. J Math Psychol 15(3):234–281
Sahoo RN, Dutta D, Khanna M, Kumar N, Bandyopadhyay SK (2015) Drought assessment in the Dhar and Mewat districts of India using meteorological, hydrological and remote-sensing derived indices. Nat Hazards 77(2):733–751
Samra JS (2004) Review and analysis of drought monitoring, declaration and management in India. Working paper 84. Drought series paper 2. International Water Management Institute, Colombo
Shahid S (2010) Rainfall variability and the trends of wet and dry periods in Bangladesh. Int J Climatol 30(15):2299–2313
Shahid S, Behrawan H (2008) Drought risk assessment in the western part of Bangladesh. Nat Hazards 46(3):391–413
Smirnov O, Zhang M, Xiao T, Orbell J, Lobben A, Gordon J (2016) The relative importance of climate change and population growth for exposure to future extreme droughts. Clim Change 138(1–2):41–53. https://doi.org/10.1007/s10584-016-1716-z
Smit B, Burton I, Klein RJ, Street R (1999) The science of adaptation: a framework for assessment. Mitig Adapt Strat GlobChange 4(3–4):199–213
Smith RM (1986) Comparing traditional methods for selecting class intervals on choropleth maps. Prof Geogr 38(1):62–67
Sobral BS, de Oliveira-Júnior JF, de Gois G, Pereira-Júnior ER, de Bodas Terassi PM, Muniz-Júnior JGR, Lyra GB, Zeri M (2019) Drought characterization for the state of Rio de Janeiro based on the annual SPI index: trends, statistical tests and its relation with ENSO. Atmospheric Research
SPI User Guide (2012) World Meteorological Organization
Spinoni J, Naumann G, Carrão H, Barbosa P, Vogt J (2014) World drought frequency, duration, and severity for 1951–2010. Int J Climatol 34:2792–2804
Spinoni J, Vogt JV, Naumann G, Barbosa P, Dosio A (2018) Will drought events become more frequent and severe in Europe? Int J Climatol 38(4):1718–1736
Spinoni J, Barbosa P, De Jager A, McCormick N, Naumann G, Vogt JV, Mazzeschi M (2019) A new global database of meteorological drought events from 1951 to 2016. J Hydrol Reg Stud 22:100593
Surendran U, Kumar V, Ramasubramoniam S, Raja P (2017) Development of drought indices for semi-arid region using drought indices calculator (DrinC): a case study from Madurai District, a semi-arid region in India. Water Resour Manag 31:3593–3605
Thomas T, Jaiswal RK, Galkate RV, Nayak TR (2016) Reconnaissance drought index based evaluation of meteorological drought characteristics in Bundelkhand. Procedia Technol 24:23–30
Thornthwaite CW (1948) An approach toward a rational classification of climate. Geogr Rev 38:55–94
Tigkas D, Vangelis H, Tsakiris G (2015) DrinC: a software for drought analysis based on drought indices. Earth Sci Inf 8(3):697–709
Tsakiris G, Vangelis H (2005) Establishing a Drought Index incorporating evapotranspiration. Eur Water 9(10):3–11
Van Der Schrier G, Jones PD, Briffa KR (2011) The sensitivity of the PDSI to the Thornthwaite and Penman-Monteith parameterizations for potential evapotranspiration. J Geophys Res Atmos 116:1–16. https://doi.org/10.1029/2010JD015001
Vicente-Serrano SM, Beguería S, López-Moreno JI (2010) A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. J Clim 23:1696–1718. https://doi.org/10.1175/2009JCLI2909.1
Wang W, Zhu Y, Xu R, Liu J (2015) Drought severity change in China during 1961–2012 indicated by SPI and SPEI. Nat Hazards 75(3):2437–2451
Wilhelmi OV, Wilhite DA (2002) Assessing vulnerability to agricultural drought: a nebraska case study. Nat Hazards 25(1):37–58
Wilhite DA (2000) Chapter 1: drought as a natural hazard: concepts and definitions, vol 69. Drought Mitigation Center Faculty Publications, pp 4–21
Wu C, Xian Z, Huang G (2016) Meteorological drought in the Beijiang River basin, south China: current observations and future projections. Stoch Env Res Risk Assess 30(7):1821–1834. https://doi.org/10.1007/s00477-015-1157-7
Yevjevich VM (1967) An objective approach to definitions and investigations of continental hydrologic droughts. Hydrology papers (Colorado State University); no. 23
Zhang Y, Yu Z, Niu H (2018) Standardized precipitation evapotranspiration index is highly correlated with total water storage over China under future climate scenarios. Atmos Environ 194:123–133. https://doi.org/10.1016/J.ATMOSENV.2018.09.028
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Singh, G.R., Jain, M.K. & Gupta, V. Spatiotemporal assessment of drought hazard, vulnerability and risk in the Krishna River basin, India. Nat Hazards 99, 611–635 (2019). https://doi.org/10.1007/s11069-019-03762-6
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DOI: https://doi.org/10.1007/s11069-019-03762-6