Skip to main content
Log in

Spatiotemporal analysis of drought variability based on the standardized precipitation evapotranspiration index in the Koshi River Basin, Nepal

  • Research Article
  • Published:
Journal of Arid Land Aims and scope Submit manuscript

Abstract

Drought is an inevitable condition with negative impacts in the agricultural and climatic sectors, especially in developing countries. This study attempts to examine the spatial and temporal characteristics of drought and its trends in the Koshi River Basin (KRB) in Nepal, using the standardized precipitation evapotranspiration index (SPEI) over the period from 1987 to 2017. The Mann-Kendall test was used to explore the trends of the SPEI values. The study illustrated the increasing annual and seasonal drought trends in the KRB over the study period. Spatially, the hill region of the KRB showed substantial increasing drought trends at the annual and seasonal scales, especially in summer and winter. The mountain region also showed a significant increasing drought trend in winter. The drought characteristic analysis indicated that the maximum duration, intensity, and severity of drought events were observed in the KRB after 2000. The Terai region presented the highest drought frequency and intensity, while the hill region presented the longest maximum drought duration. Moreover, the spatial extent of drought showed a significant increasing trend in the hill region at the monthly (drought station proportion of 7.6%/10a in August), seasonal (drought station proportion of 7.2%/10a in summer), and annual (drought station proportion of 6.7%/10a) scales. The findings of this study can assist local governments, planners, and project implementers in understanding drought and developing appropriate mitigation strategies to cope with its impacts.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Aadhar S, Mishra V. 2017. High-resolution near real-time drought monitoring in South Asia. Scientific Data, 4: 170145, doi: https://doi.org/10.1038/sdata.2017.145.

    Article  Google Scholar 

  • Adhikari S. 2018. Drought impact and adaptation strategies in the mid-hill farming system of western Nepal. Environments, 5(9): 101, doi: https://doi.org/10.3390/environments5090101.

    Article  Google Scholar 

  • Adnan S, Ullah K, Khan A H. 2017. Meteorological impacts on evapotranspiration in different climatic zones of Pakistan. Journal of Arid Land, 9(6): 938–952.

    Article  Google Scholar 

  • Agarwal A, Babel M S, Maskey S. 2014. Analysis of future precipitation in the Koshi river basin, Nepal. Journal of Hydrology, 513: 422–434.

    Article  Google Scholar 

  • Agarwal A, Babel M S, Maskey S, et al. 2016. Analysis of temperature projections in the Koshi River Basin, Nepal. International Journal of Climatology, 36(1): 266–279.

    Article  Google Scholar 

  • Agrawala S, Raksakulthai V, Aalst M, et al. 2003. Development and climate change in Nepal: Focus on water resources and hydropower. Environment Directorate Development Co-operation Directorate. Paris: Organization for Economic Co-operation and Development, 64.

    Google Scholar 

  • Allen R G, Smith M, Pereira L S, et al. 1994. An update for the calculation of reference evapotranspiration. ICID Bulletin, 43(2): 1–34.

    Google Scholar 

  • Allen R G, Pereira L S, Raes D, et al. 1998. Crop evapotranspiration-Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56. Rome: FAO, 300(9): D05109.

    Google Scholar 

  • Alley W M. 1984. The Palmer drought severity index: limitations and assumptions. Journal of Climate and Applied Meteorology, 23(7): 1100–1109.

    Article  Google Scholar 

  • Amrit K, Pandey R P, Mishra S K. 2018. Characteristics of meteorological droughts in northwestern India. Natural Hazards, 94(2): 561–582.

    Article  Google Scholar 

  • Aryal S. 2012. Rainfall and water requirement of rice during growing period. The Journal of Agriculture and Environment, 13: 1–4.

    Article  Google Scholar 

  • Bandyopadhyay A, Bhadra A, Raghuwanshi N, et al. 2009. Temporal trends in estimates of reference evapotranspiration over India. Journal of Hydrologic Engineering, 14(5): 508–515.

    Article  Google Scholar 

  • Baniya B, Tang Q, Xu X, et al. 2019. Spatial and temporal variation of drought based on satellite derived vegetation condition index in Nepal from 1982–2015. Sensors, 19(2): 430, doi: https://doi.org/10.3390/s19020430.

    Article  Google Scholar 

  • Beguería S, Vicente-Serrano S M, Reig F, et al. 2014. Standardized precipitation evapotranspiration index (SPEI) revisited: parameter fitting, evapotranspiration models, tools, datasets and drought monitoring. International Journal of Climatology, 34(10): 3001–3023.

    Article  Google Scholar 

  • Bharati L, Gurung P, Jayakody P, et al. 2014. The projected impact of climate change on water availability and development in the Koshi Basin, Nepal. Mountain Research and Development, 34(2): 118–130.

    Article  Google Scholar 

  • Bharati L, Bhattarai U, Khadka A, et al. 2019. From the mountains to the plains: Impact of climate change on water resources in the Koshi River Basin. Colombo: International Water Management Institute (IWMI), 49.

    Google Scholar 

  • Bhatt D, Maskey S, Babel M S, et al. 2014. Climate trends and impacts on crop production in the Koshi River basin of Nepal. Regional Environment Change, 14(4): 1291–1301.

    Article  Google Scholar 

  • Bisht D S, Sridhar V, Mishra A, et al. 2019. Drought characterization over India under projected climate scenario. International Journal of Climatology, 39(4): 1889–1911.

    Article  Google Scholar 

  • Bolch T, Kulkarni A, Kääb A, et al. 2012. The state and fate of Himalayan glaciers. Science, 336(6079): 310–314.

    Article  Google Scholar 

  • Burke E J, Brown S J, Christidis N. 2006. Modeling the recent evolution of global drought and projections for the twenty-first century with the Hadley Centre climate model. Journal of Hydrometeorology, 7(5): 1113–1125.

    Article  Google Scholar 

  • Burn D H, Elnur M A H. 2002. Detection of hydrologic trends and variability. Journal of Hydrology, 255(1–4): 107–122.

    Article  Google Scholar 

  • Challinor A J, Ewert F, Arnold S, et al. 2009. Crops and climate change: progress, trends, and challenges in simulating impacts and informing adaptation. Journal of Experimental Botany, 60(10): 2775–2789.

    Article  Google Scholar 

  • Chen N S, Hu G S, Deng W, et al. 2013. On the water hazards in the trans-boundary Kosi River basin. Natural Hazards & Earth System Sciences, 13(3): 795–808.

    Article  Google Scholar 

  • Chen T, Xia G, Liu T, et al. 2016. Assessment of drought impact on main cereal crops using a standardized precipitation evapotranspiration index in Liaoning Province, China. Sustainability, 8(10): 1069, doi: https://doi.org/10.3390/su8101069.

    Article  Google Scholar 

  • Chinnasamy P, Bharati L, Bhattarai U, et al. 2015. Impact of planned water resource development on current and future water demand in the Koshi River basin, Nepal. Water International, 40(7): 1004–1020.

    Article  Google Scholar 

  • Dabanli I. 2018. Drought risk assessment by using drought hazard and vulnerability indexes. Natural Hazards and Earth System Sciences, 129: 1–15.

    Google Scholar 

  • Dahal P, Shrestha N S, Shrestha M L, et al. 2016. Drought risk assessment in central Nepal: temporal and spatial analysis. Natural Hazards, 80(3): 1913–1932.

    Article  Google Scholar 

  • Dahal V, Shakya N M, Bhattarai R. 2016. Estimating the impact of climate change on water availability in Bagmati Basin, Nepal. Environmental Processes, 3(1): 1–17.

    Article  Google Scholar 

  • Dai A. 2011. Characteristics and trends in various forms of the Palmer Drought Severity Index during 1900–2008. Journal of Geophysical Research: Atmospheres, 116(D12), doi: https://doi.org/10.1029/2010JD015541.

    Google Scholar 

  • Damberg L, AghaKouchak A. 2014. Global trends and patterns of drought from space. Theoretical and Applied Climatology, 117(3–4): 441–448.

    Article  Google Scholar 

  • Das P K, Dutta D, Sharma J, et al. 2016. Trends and behaviour of meteorological drought (1901–2008) over Indian region using standardized precipitation-evapotranspiration index. International Journal of Climatology, 36(2): 909–916.

    Article  Google Scholar 

  • Dehghan S, Salehnia N, Sayari N, et al. 2020. Prediction of meteorological drought in arid and semi-arid regions using PDSI and SDSM: a case study in Fars Province, Iran. Journal of Arid Land, 12(2): 318–330.

    Article  Google Scholar 

  • di Lena B, Vergni L, Antenucci F, et al. 2014. Analysis of drought in the region of Abruzzo (Central Italy) by the Standardized Precipitation Index. Theoretical and Applied Climatology, 115(1–2): 41–52.

    Article  Google Scholar 

  • Dixit A, Upadhya M, Dixit K, et al. 2009. Living with Water Stress in the Hills of the Koshi Basin, Nepal. Kathmandu: International Centre for Integrated Mountain Development, 31.

    Book  Google Scholar 

  • Droogers P, Allen R G. 2002. Estimating reference evapotranspiration under inaccurate data conditions. Irrigation and Drainage Systems, 16(1): 33–45.

    Article  Google Scholar 

  • Duan K, Mei Y. 2014. Comparison of meteorological, hydrological and agricultural drought responses to climate change and uncertainty assessment. Water Resources Management, 28(14): 5039–5054.

    Article  Google Scholar 

  • Easterling D R, Meehl G A, Parmesan C, et al. 2000. Climate extremes: observations, modeling, and impacts. Science, 289(5487): 2068–2074.

    Article  Google Scholar 

  • Farmer W, Strzepek K, Schlosser C A, et al. 2011. A method for calculating reference evapotranspiration on daily time scales. MIT Joint Program on the Science and Policy of Global Change. Cambridge: Massachusetts Institute of Technology, 21.

    Google Scholar 

  • Gao X, Zhao Q, Zhao X, et al. 2017. Temporal and spatial evolution of the standardized precipitation evapotranspiration index (SPEI) in the Loess Plateau under climate change from 2001 to 2050. Science of the Total Environment, 595: 191–200.

    Article  Google Scholar 

  • Ghimire Y N, Shivakoti G P, Perret S R. 2010. Household-level vulnerability to drought in hill agriculture of Nepal: implications for adaptation planning. International Journal of Sustainable Development & World Ecology, 17(3): 225–230.

    Article  Google Scholar 

  • Gilbert R O. 1987. Statistical Methods for Environmental Pollution Monitoring. New York: John Wiley & Sons, 320.

    Google Scholar 

  • Gumus V, Algin H M. 2017. Meteorological and hydrological drought analysis of the Seyhan-Ceyhan River Basins, Turkey. Meteorological Applications, 24(1): 62–73.

    Article  Google Scholar 

  • Hamal K, Sharma S, Khadka N, et al. 2020. Assessment of drought impacts on crop yields across Nepal during 1987–2017. Meteorological Applications, 27(5): 1–18.

    Article  Google Scholar 

  • Hargreaves G H, Samani Z A. 1985. Reference crop evapotranspiration from temperature. Applied Engineering in Agriculture, 1(2): 96–99.

    Article  Google Scholar 

  • Huang J, Zhai J, Jiang T, et al. 2018. Analysis of future drought characteristics in China using the regional climate model CCLM. Climate Dynamics, 50(1–2): 507–525.

    Article  Google Scholar 

  • IPCC (Intergovernmental Panel on Climate Change). 2018. Global warming of 1.5°C. An IPCC special report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty. Geneva: Intergovernmental Panel on Climate Change, 616.

    Google Scholar 

  • Jamro S, Dars G H, Ansari K, et al. 2019. Spatio-temporal variability of drought in Pakistan using standardized precipitation evapotranspiration index. Applied Sciences, 9(21): 4588, doi: https://doi.org/10.3390/app9214588.

    Article  Google Scholar 

  • Joshi G R. 2018. Agricultural economy of Nepal: Development challenges & opportunities. Kathmandu: Sustainable Research & Development Center, 374.

    Google Scholar 

  • Kafle H K. 2014. Spatial and temporal variation of drought in far and mid-western regions of Nepal: Time series analysis (1982–2012). Nepal Journal of Science and Technology, 15(2): 65–76.

    Article  Google Scholar 

  • Kansakar S R, Hannah D M, Gerrard J, et al. 2004. Spatial pattern in the precipitation regime of Nepal. International Journal of Climatology, 24(13): 1645–1659.

    Article  Google Scholar 

  • Karki M, Mool P, Shrestha A. 2009. Climate change and its increasing impacts in Nepal. The Initiation, 3: 30–37.

    Article  Google Scholar 

  • Khan J U, Islam A S, Das M K, et al. 2020. Future changes in meteorological drought characteristics over Bangladesh projected by the CMIP5 multi-model ensemble. Climatic Change, 162: 667–685.

    Article  Google Scholar 

  • Khanal U, Wilson C, Hoang V-N, et al. 2018. Farmers’ adaptation to climate change, its determinants and impacts on rice yield in Nepal. Ecological Economics, 144: 139–147.

    Article  Google Scholar 

  • Khatiwada K R, Pandey V P. 2019. Characterization of hydro-meteorological drought in Nepal Himalaya: A case of Karnali River Basin. Weather and Climate Extremes, 26: 100239, doi: https://doi.org/10.1016/j.wace.2019.100239.

    Article  Google Scholar 

  • Li L, She D, Zheng H, et al. 2020. Elucidating diverse drought characteristics from two meteorological drought indices (SPI and SPEI) in China. Journal of Hydrometeorology, 21(7): 1513–1530.

    Article  Google Scholar 

  • Liu X, Wang S, Zhou Y, et al. 2015. Regionalization and spatiotemporal variation of drought in China based on standardized precipitation evapotranspiration index (1961–2013). Advances in Meteorology, 2015, doi: https://doi.org/10.1155/2015/950262.

  • Liu X, Pan Y, Zhu X, et al. 2018. Drought evolution and its impact on the crop yield in the North China Plain. Journal of Hydrology, 564: 984–996.

    Article  Google Scholar 

  • Livada I, Assimakopoulos V. 2007. Spatial and temporal analysis of drought in Greece using the Standardized Precipitation Index (SPI). Theoretical and Applied Climatology, 89(3–4): 143–153.

    Article  Google Scholar 

  • Malla G. 2008. Climate change and its impact on Nepalese agriculture. Journal of Agriculture and Environment, 9: 62–71.

    Article  Google Scholar 

  • Manton M J, Della-Marta P M, Haylock M R, et al. 2001. Trends in extreme daily rainfall and temperature in Southeast Asia and the South Pacific: 1961–1998. International Journal of Climatology, 21(3): 269–284.

    Article  Google Scholar 

  • McKee T B, Doesken N, Kleist J. 1993. The relationship of drought frequency and duration to time scales. In: Proceedings of the 8th Conference on Applied Climatology. Anaheim: American Meteorological Society, 179–183.

    Google Scholar 

  • Mishra A K, Singh V P. 2010. A review of drought concepts. Journal of Hydrology, 391(1–2): 202–216.

    Article  Google Scholar 

  • Mohsenipour M, Shahid S, Chung E, et al. 2018. Changing pattern of droughts during cropping seasons of Bangladesh. Water Resources Management, 32(5): 1555–1568.

    Article  Google Scholar 

  • NCVST (Nepal Climate Vulnerability Study Team). 2009. Vulnerability through the eyes of vulnerable: Climate change induced uncertainties and Nepal’s development predicaments. Kathmandu: Institute for Social and Environmental Transition-Nepal, 95.

    Google Scholar 

  • Neupane N, Murthy M S R, Rasul G, et al. 2013. Integrated biophysical and socioeconomic model for adaptation to climate change for agriculture and water in the Koshi Basin. In: Leal Filho W. Handbook of Climate Change Adaptation. Berlin: Springer, 1–77.

    Google Scholar 

  • Nijssen B, O’Donnell G M, Hamlet A F, et al. 2001. Hydrologic sensitivity of global rivers to climate change. Climatic Change, 50(1–2): 143–175.

    Article  Google Scholar 

  • Norbu N. 2004. Invasion success of Chromolaena odorata in the Terai of Nepal. Enschede: Geo-Information Science, International Institute for Geo-information and Earth Observation (ITC), 41.

    Google Scholar 

  • Pai D, Sridhar L, Guhathakurta P, et al. 2011. District-wide drought climatology of the southwest monsoon season over India based on standardized precipitation index (SPI). Natural Hazards, 59(3): 1797–1813.

    Article  Google Scholar 

  • Palmer W C. 1965. Meteorological Drought, Research Paper No. 45. Washington, DC: Office of Climatology, US Weather Bureau, 58.

    Google Scholar 

  • Palmer W C. 1968. Keeping track of crop moisture conditions, nationwide: The New Crop Moisture Index. Weatherwise, 21(4): 156–161.

    Article  Google Scholar 

  • Paudyal K R, Ransom J K, Adhikari K, et al. 2001. Maize in Nepal: Production Systems, Constraints, and Priorities for Research. Kathmandu: Nepal Agricultural Research Council, International Maize and Wheat Improvement Center, 48.

    Google Scholar 

  • Pei Z, Fang S, Wang L, et al. 2020. Comparative analysis of drought indicated by the SPI and SPEI at various timescales in inner Mongolia, China. Water, 12(7): 1925, doi: https://doi.org/10.3390/w12071925.

    Article  Google Scholar 

  • Penton D, Neumann L, Doody T, et al. 2016. Preliminary analysis of hydroclimate and streamflow modelling in the Koshi Basin: Climate, hydrology, ecology and institutional setting. In: Sustainable Development Investment Portfolio (SDIP) Project. Canberra: CSIRO, 68.

    Google Scholar 

  • Peterson T C, Stott P A, Herring S. 2012. Explaining extreme events of 2011 from a climate perspective. Bulletin of the American Meteorological Society, 93(7): 1041–1067.

    Article  Google Scholar 

  • Portela M, Silva A, Santos J, et al. 2017. Assessing the use of SPI in detecting agricultural and hydrological droughts and their temporal cyclicity: some Slovakian case studies. European Water, 60: 233–239.

    Google Scholar 

  • Potop V, Boroneanƫ J C, Možny M, et al. 2014. Observed spatiotemporal characteristics of drought on various time scales over the Czech Republic. Theoretical and Applied Climatology, 115(3–4): 563–581.

    Article  Google Scholar 

  • Prabnakorn S, Maskey S, Suryadi F, et al. 2018. Rice yield in response to climate trends and drought index in the Mun River Basin, Thailand. Science of the Total Environment, 621: 108–119.

    Article  Google Scholar 

  • Salmi T, Määttä A, Anttila P, et al. 2002. Detecting trends of annual values of atmospheric pollutants by the Mann-Kendall test and Sen’s slope estimates-the Excel template application MAKESENS. Helsinki: Finnish Meteorological Institute, 35.

    Google Scholar 

  • Sapkota P, Keenan R J, Paschen J A, et al. 2016. Social production of vulnerability to climate change in the rural middle hills of Nepal. Journal of Rural Studies, 48: 53–64.

    Article  Google Scholar 

  • Saravi M M, Safdari A, Malekian A. 2009. Intensity-Duration-Frequency and spatial analysis of droughts using the Standardized Precipitation Index. Hydrology & Earth System Sciences Discussions, 6(2), doi: https://doi.org/10.5194/hessd-6-1347-2009.

    Google Scholar 

  • Shafer B, Dezman L. 1982. Development of a surface water supply index (SWSI) to assess the severity of drought conditions in snowpack runoff areas. In: Proceeding of the Western Snow Conference. Reno, NV: Colorado State University, 164–175.

    Google Scholar 

  • Sharma E, Molden D, Rahman A, et al. 2019. Introduction to the Hindu Kush Himalaya assessment. In: Wester P, Mishra A, Mukherji A, et al. The Hindu Kush Himalaya Assessment. Switzerland: Spring Nature, 1–16.

    Google Scholar 

  • Sheffield J, Wood E F. 2007. Characteristics of global and regional drought, 1950–2000: Analysis of soil moisture data from off-line simulation of the terrestrial hydrologic cycle. Journal of Geophysical Research: Atmospheres, 112(D17), doi: https://doi.org/10.1029/2006JD008288.

    Google Scholar 

  • Shrestha A B, Wake C P, Mayewski P A, et al. 1999. Maximum temperature trends in the Himalaya and its vicinity: an analysis based on temperature records from Nepal for the period 1971–94. Journal of Climate, 12(9): 2775–2786.

    Article  Google Scholar 

  • Shrestha A B, Wake C P, Dibb J E, et al. 2000. Precipitation fluctuations in the Nepal Himalaya and its vicinity and relationship with some large scale climatological parameters. International Journal of Climatology, 20(3): 317–327.

    Article  Google Scholar 

  • Shrestha A B, Bajracharya S R, Sharma A R, et al. 2017. Observed trends and changes in daily temperature and precipitation extremes over the Koshi river basin 1975–2010. International Journal of Climatology, 37(2): 1066–1083.

    Article  Google Scholar 

  • Shrestha N K, Qamer F M, Pedreros D, et al. 2017. Evaluating the accuracy of Climate Hazard Group (CHG) satellite rainfall estimates for precipitation based drought monitoring in Koshi basin, Nepal. Journal of Hydrology: Regional Studies, 13: 138–151.

    Google Scholar 

  • Sigdel M, Ikeda M. 2010. Spatial and temporal analysis of drought in Nepal using standardized precipitation index and its relationship with climate indices. Journal of Hydrology and Meteorology, 7(1): 59–74.

    Article  Google Scholar 

  • Sigdel M, Ikeda M. 2012. Seasonal contrast in precipitation mechanisms over Nepal deduced from relationship with the large-scale climate patterns. Nepal Journal of Science and Technology, 13(1): 115–123.

    Article  Google Scholar 

  • Spinoni J, Naumann G, Carrao H, et al. 2014. World drought frequency, duration, and severity for 1951–2010. International Journal of Climatology, 34(8): 2792–2804.

    Article  Google Scholar 

  • Stagge J H, Tallaksen L M, Xu C Y, et al. 2014. Standardized precipitation-evapotranspiration index (SPEI): Sensitivity to potential evapotranspiration model and parameters. In: Hydrology in a Changing World. Montpellier: International Association of Hydrological Sciences, 367–373.

    Google Scholar 

  • Tam B Y, Szeto K, Bonsal B, et al. 2019. CMIP5 drought projections in Canada based on the Standardized Precipitation Evapotranspiration Index. Canadian Water Resources Journal, 44(1): 90–107.

    Article  Google Scholar 

  • Tan C, Yang J, Li M. 2015. Temporal-spatial variation of drought indicated by SPI and SPEI in Ningxia Hui Autonomous Region, China. Atmosphere, 6(10): 1399–1421.

    Article  Google Scholar 

  • Thornthwaite C W. 1948. An approach toward a rational classification of climate. Geographical Review, 38(1): 55–94.

    Article  Google Scholar 

  • Touma D, Ashfaq M, Nayak M A, et al. 2015. A multi-model and multi-index evaluation of drought characteristics in the 21st century. Journal of Hydrology, 526: 196–207.

    Article  Google Scholar 

  • Trenberth K, Meehl J, Masters J, et al. 2011. Current Extreme Weather and Climate Change. Colorado: Climate Communication Science and Outreach, 28.

    Google Scholar 

  • Trenberth K E. 2011. Changes in precipitation with climate change. Climate Research, 47(1–2): 123–138.

    Article  Google Scholar 

  • van Rooy M. 1965. A rainfall anomaly index independent of time and space. Notos, 14: 43–48.

    Google Scholar 

  • Vicente-Serrano S M, Beguería S, López-Moreno J I. 2010. A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. Journal of Climate, 23(7): 1696–1718.

    Article  Google Scholar 

  • Vicente-Serrano S M, Beguería S, Lopez-Moreno J I. 2011. Comment on “Characteristics and trends in various forms of the Palmer Drought Severity Index (PDSI) during 1900–2008” by Aiguo Dai. Atmosphere, 116(D19), doi: https://doi.org/10.1029/2010JD015541.

    Google Scholar 

  • Vicente-Serrano S M, Beguería S, Lorenzo-Lacruz J, et al. 2012. Performance of drought indices for ecological, agricultural, and hydrological applications. Earth Interactions, 16(10): 1–27.

    Article  Google Scholar 

  • Vicente-Serrano S M, Lopez-Moreno J I, Beguería S, et al. 2014. Evidence of increasing drought severity caused by temperature rise in southern Europe. Environmental Research Letters, 9(4): 044001, doi: https://doi.org/10.1088/1748-9326/9/4/044001.

    Article  Google Scholar 

  • Wanders N, Wada Y. 2015. Human and climate impacts on the 21st century hydrological drought. Journal of Hydrology, 526: 208–220.

    Article  Google Scholar 

  • Wang H, Vicente-Serrano S M, Tao F, et al. 2016. Monitoring winter wheat drought threat in Northern China using multiple climate-based drought indices and soil moisture during 2000–2013. Agricultural and Forest Meteorology, 228–229: 1–12.

    Article  Google Scholar 

  • Wang J, Lin H, Huang J, et al. 2019. Variations of drought tendency, frequency, and characteristics and their responses to climate change under CMIP5 RCP scenarios in Huai River Basin, China. Water, 11(10): 2174, doi: https://doi.org/10.3390/w11102174.

    Article  Google Scholar 

  • Wang Q, Wu J, Lei T, et al. 2014. Temporal-spatial characteristics of severe drought events and their impact on agriculture on a global scale. Quaternary International, 349: 10–21.

    Article  Google Scholar 

  • Wang S Y, Yoon J H, Gillies R R, et al. 2013. What caused the winter drought in western Nepal during recent years? Journal of Climate, 26(21): 8241–8256.

    Article  Google Scholar 

  • Wang Y, Quan Q, Shen B. 2019. Spatio-temporal variability of drought and effect of large scale climate in the source region of Yellow River. Geomatics, Natural Hazards and Risk, 10(1): 678–698.

    Article  Google Scholar 

  • Wilhite D A, Glantz M H. 1985. Understanding: the drought phenomenon: the role of definitions. Water International, 10(3): 111–120.

    Article  Google Scholar 

  • Wilhite D A. 2000. Drought as a natural hazard: Concepts and definitions. In: Wilhite D A. Drought: A Global Assessment. London: Routledge, 3–18.

    Google Scholar 

  • Wilhite D A. 2005. Drought and Water Crises: Science, Technology, and Management Issues. Boca Raton: Taylor & Francis Group, 432.

    Book  Google Scholar 

  • WMO (World Meteorological Organization). 2012. Standardized Precipitation Index User Guide. WMO-No. 1090. Geneva: WMO, 16.

    Google Scholar 

  • WMO (World Meteorological Organization), GWP (Global Water Partnership). 2016. Handbook of Drought Indicators and Indices. WMO/GWP Integrated Drought Management Programme (IDMP). WMO-No. 1173. Geneva, Switzerland: WMO, and Stockholm, Sweden: GWP.

    Google Scholar 

  • Wu H, Xiong D, Liu B, et al. 2019. Spatio-temporal analysis of drought variability using CWSI in the Koshi River Basin (KRB). International Journal of Environmental Research and Public Health, 16(17): 3100, doi: https://doi.org/10.3390/ijerph16173100.

    Article  Google Scholar 

  • Xu C Y, Singh V P. 2001. Evaluation and generalization of temperature-based methods for calculating evaporation. Hydrological Processes, 15(2): 305–319.

    Article  Google Scholar 

  • Yang M J, Yan D H, Yu Y D, et al. 2016. SPEI-based spatiotemporal analysis of drought in Haihe River Basin from 1961 to 2010. Advances in Meteorology, 2016: 7658015, doi: https://doi.org/10.1155/2016/7658015.

    Article  Google Scholar 

  • Zuo D, Cai S, Xu Z, et al. 2018. Spatiotemporal patterns of drought at various time scales in Shandong Province of Eastern China. Theoretical and Applied Climatology, 131(1–2): 271–284.

    Article  Google Scholar 

Download references

Acknowledgements

The study was funded by the CAS Overseas Institutions Platform Project (Grant No. 131C11KYSB20200033) and the NSFC-ICIMOD Joint Research Project (Grant No. 41661144038). We would like to express our gratitude to the Department of Hydrology and Meteorology (Government of Nepal) for providing the original data for this research work. We also thank Dr. Bikram PANDEY and Mr. Javed HASSAN for their valuable suggestions and support during the revision work.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Donghong Xiong.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dahal, N.M., Xiong, D., Neupane, N. et al. Spatiotemporal analysis of drought variability based on the standardized precipitation evapotranspiration index in the Koshi River Basin, Nepal. J. Arid Land 13, 433–454 (2021). https://doi.org/10.1007/s40333-021-0065-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40333-021-0065-6

Keywords

Navigation