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Spatio-temporal analysis of rainfall, meteorological drought and response from a water supply reservoir in the megacity of Chennai, India

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Abstract

Assessment of rainfall variability and drought is essential to address the existing water crisis and water resources management. This study was carried out to assess the rainfall variability, meteorological drought and relative response of a water supply reservoir located in Chennai Metropolitan, India. Spatial and temporal variation of rainfall and drought across the river basin was assessed using historical rainfall records from 1978 to 2016. A significant number of rainfall stations show increasing trends in post-monsoon and northeast monsoon. The annual rainfall is concentrated for less than six months and shows an irregular to strongly irregular distribution. The degree of variability in monthly rainfall reveals markedly seasonal with long dry periods. Three different drought indices such as rainfall deviation method, Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI) were used and compared to identify the meteorological droughts. The duration of meteorological drought events in this region ranged from 3 to 9 months. Identified drought events reveal that the rainfall deficiency in the northeast monsoon causes most of the meteorological drought. The reservoir system has higher response and coherence with SPI at a higher time scale. So, SPI can be used to represent the hydrological drought in higher time scales. Hence, SPI is recommended as more appropriate for drought assessments for this region. The large scale atmospheric circulations have moderate impacts on drought events in this region. The outcomes of this study could be useful for better drought and water resources management.

Research Highlights

  • Chennai region has higher interannual rainfall variability and susceptible to droughts once in about four years.

  • About 44.44% of droughts in this region when India witnessed drought indicating large scale atmospheric circulations.

  • Deficiency in rainfall during both southwest and northeast monsoon increase the gap between water demand and supply.

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References

  • Abeysingha N S, Singh M, Sehgal V K, Khanna M and Pathak H 2016 Analysis of trends in streamflow and its linkages with rainfall and anthropogenic factors in Gomti River basin of North India; Theor. Appl. Climatol. 123 785–799, https://doi.org/10.1007/s00704-015-1390-5.

    Article  Google Scholar 

  • Akre R S and Nagrale G S 2012 A study of drought situation in El-Nino years over central India homogeneous region; Mausam 63(1) 162–164.

    Google Scholar 

  • Alexanderson H 1986 A homogeneity test applied to precipitation data; J. Climatol. 6 661–675, https://doi.org/10.1002/joc.3370060607.

    Article  Google Scholar 

  • Annual Report on Natural Calamities, Government of Tamil Nadu 2005–2006 Revenue Administration, Disaster Management and Mitigation Department, Chepauk, Chennai.

  • Balakrishnan T 2008 Technical Report Series, District groundwater brochure Chennai district, Government of India, Ministry of Water Resources, Central Ground Water Board South Eastern Coastal Region (November).

  • Basistha A, Arya D S and Goel N K 2009 Analysis of historical changes in rainfall in the Indian Himalayas; Int. J. Climatol. 29 555–572, https://doi.org/10.1002/joc.1706.

    Article  Google Scholar 

  • Bhuiyan C, Singh R P and Kogan F N 2006 Monitoring drought dynamics in the Aravalli region (India) using different indices based on ground and remote sensing data; Int. J. Appl. Earth Observ. Geoinfor. 8 289–302, https://doi.org/10.1016/j.jag.2006.03.002.

    Article  Google Scholar 

  • Buishand T A 1982 Some methods for testing the homogeneity of rainfall records; J. Hydrol. 58 11–27, https://doi.org/10.1016/0022-1694(82)90066-x.

    Article  Google Scholar 

  • Chandniha S K, Meshram S G, Adamowski J F and Meshram C 2017 Trend analysis of precipitation in Jharkhand State, India: Investigating precipitation variability in Jharkhand State; Theor. Appl. Climatol. 130 261–274, https://doi.org/10.1007/s00704-016-1875-x.

    Article  Google Scholar 

  • Chatterjee S, Khan A, Akbari H and Wang Y 2016 Monotonic trends in spatio-temporal distribution and concentration of monsoon precipitation (1901–2002), West Bengal, India; Atmos. Res. 182 54–75, https://doi.org/10.1016/j.atmosres.2016.07.010.

    Article  Google Scholar 

  • CMDA 2008 Second Master Plan For Chennai Metropolitan Area, 2026 Volume I Vision, Strategies and Action Plans; Chennai, India.

  • CMWSSB 2020 https://chennaimetrowater.tn.gov.in/watersupplysystem.html.

  • Deng S, Chen T, Yang N, Qu L, Li M and Chen D 2018 Spatial and temporal distribution of rainfall and drought characteristics across the Pearl River basin; Sci. Total Environ. 619–620 28–41, https://doi.org/10.1016/j.scitotenv.2017.10.339.

    Article  Google Scholar 

  • Devappa V M, Khageshan P and Mise S R 2011 Long term assessment of southwest monsoon drought events at Taluka levels in Gulbarga District of Karnataka; Mausam 62(3) 449–462.

    Google Scholar 

  • Dracup J A, Lee K S and Paulson E G 1980 On the definition of droughts; Water Resour. Res. 16(2) 297–302, https://doi.org/10.1029/WR016i002p00297.

    Article  Google Scholar 

  • Flörke M, Schneider C and McDonald R I 2018 Water competition between cities and agriculture driven by climate change and urban growth; Nature Sustainability 1 51–58, https://doi.org/10.1038/s41893-017-0006-8.

    Article  Google Scholar 

  • Guttman N B 1998 Comparing the palmer drought index and the standardized precipitation index; J. Am. Water Resour. Assoc. 34(1) 113–121, https://doi.org/10.1111/j.1752-1688.1998.tb05964.x.

    Article  Google Scholar 

  • Hayes M J, Svoboda M D and Wilhite D A 2000 Chapter 12: Monitoring drought using the Standardized Precipitation Index; In: Drought: A Global Assessment, Drought Mitigation Center Faculty Publications 70 168–180.

  • Karumuri A, Guan Z and Yamagata T 2001 Impact of the Indian Ocean dipole on the relationship between the Indian monsoon rainfall and ENSO; Geophys. Res. Lett. 28(23) 4499–4502(2001GL013294).

  • Kendall M G 1975 Rank Correlation Method; 4th edn, Charles Griffin, London.

    Google Scholar 

  • Keyantash John and National Center for Atmospheric Research Staff (eds) 2018 The Climate Data Guide: Standardized Precipitation Index (SPI), https://climatedataguide.ucar.edu/climate-data/standardized-precipitation-index-spi.

  • Kundu S, Khare D, Mondal A and Mishra P K 2015 Analysis of spatial and temporal variation in rainfall trend of Madhya Pradesh, India (1901–2011); Environ. Earth Sci. 73 8197–8216, https://doi.org/10.1007/s12665-014-3978-y.

    Article  Google Scholar 

  • Livada I and Asimakopoulos D N 2005 Individual seasonality index of rainfall regimes in Greece; Clim. Res. 28(2) 155–161, https://doi.org/10.3354/cr028155.

    Article  Google Scholar 

  • Lorenzo-Lacruz J, Vicente-Serrano S M, López-Moreno J I, Beguería S, García-Ruiz J M and Cuadrat J M 2010 The impact of droughts and water management on various hydrological systems in the headwaters of the Tagus River (central Spain); J. Hydrol. 386(1–4) 13–26, https://doi.org/10.1016/j.jhydrol.2010.01.001.

    Article  Google Scholar 

  • Mallya G, Mishra V, Niyogi D, Tripathi S and Govindaraju R S 2015 Trends and variability of droughts over the Indian monsoon region; Wea. Climate Extr. 12 43–68, https://doi.org/10.1016/j.wace.2016.01.002.

    Article  Google Scholar 

  • Masson-Delmotte V, Zhai P, Pörtner H O, Roberts D, Skea J and Shukla P R et al. 2018 Summary for Policymakers; In: 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, World Meteorological Organization, Geneva, Switzerland, 32.

  • Manual for drought management 2016 Department of Agriculture, Cooperation & Farmers Welfare, Ministry of Agriculture & Farmers Welfare, Government of India, New Delhi.

  • Mckee T B, Doesken N J and Kleist J 1993 The relationship of drought frequency and duration to time scales; AMS 8th Conference on Applied Climatology, pp. 17–22.

  • Mendicino G, Senatore A and Versace P 2008 A groundwater resource index (GRI) for drought monitoring and forecasting in a mediterranean climate; J. Hydrol. 357 282–302, https://doi.org/10.1016/j.jhydrol.2008.05.005.

    Article  Google Scholar 

  • Michiels P, Gabriels D and Hartmann R 1992 Using the seasonal and temporal Precipitation concentration index for characterizing the monthly rainfall distribution in Spain; Catena 19 43–58, https://doi.org/10.1016/0341-8162(92)90016-5.

    Article  Google Scholar 

  • Mondal A, Khare D and Kundu S 2015 Spatial and temporal analysis of rainfall and temperature trend of India; Theoret. Appl. Climatol. 122 143–158, https://doi.org/10.1007/s00704-014-1283-z.

    Article  Google Scholar 

  • Oliver J E 1980 Monthly precipitation distribution: A comparative index; Professional Geographer 32(3) 300–309, https://doi.org/10.1111/j.0033-0124.1980.00300.x.

    Article  Google Scholar 

  • Pettitt A N 1979 A non-parametric approach to the change-point problem; J. Roy. Stat. Soc. Ser. C (Appl. Stat.) 28(2) 126–135, https://doi.org/10.2307/2346729.

    Article  Google Scholar 

  • Piqué G, Batalla R J and Sabater S 2016 Hydrological characterization of dammed rivers in the NW Mediterranean region; Hydrol. Process. 30 1691–1707, http://doi.org/10.1002/hyp.10728.

    Article  Google Scholar 

  • Sen P K 1968 Estimates of the regression coefficient based on Kendall’s tau; J. Am. Stat. Assoc. 63(324) 1379–1389.

    Article  Google Scholar 

  • Shewale M P and Kumar S 2005 Climatological features of drought incidences in India; Meteorological Monograph, National Climate Center, India Meteorological Department, Pune (Climatology No. 21/2005).

  • Srinivasan V, Seto K C, Emerson R and Gorelick S M 2013 The impact of urbanization on water availability: A coupled environment system approach for Chennai, India; Global Environ. Change 23(1) 229–239, https://doi.org/10.1016/j.gloenvcha.2012.10.002.

    Article  Google Scholar 

  • State of Environment Report of Chennai Metropolitan Area 2013 ENVIS Centre, Department of Environment, Government of Tamil Nadu, Chennai, India.

  • Sushant S, Balasubramani K and Kumaraswamy K 2015 Spatio-temporal analysis of rainfall distribution and variability in the 20th century, over the Cauvery Basin, south India; In: Environmental Management of River Basin Ecosystems, Springer Earth System Sciences. Springer International Publishing Switzerland, pp. 21–41, https://doi.org/10.1007/978-3-319-13425-3.

  • Tan M L, Chua V P, Li C and Brindha K 2018 Spatio temporal analysis of hydro-meteorological drought in the Johor River Basin, Malaysia; Theor. Appl. Climatol. 135 825–837, https://doi.org/10.1007/s00704-018-2409-5.

    Article  Google Scholar 

  • The Hindu 2017 https://www.thehindu.com/news/cities/chennai/plan-to-divert-surplus-water-to-quarries/article19686378.ece.

  • Thomas J and Prasannakumar V 2016 Temporal analysis of rainfall (1871–2012) and drought characteristics over a tropical monsoon-dominated state (Kerala) of India; J. Hydrol. 534 266–280, https://doi.org/10.1016/j.jhydrol.2016.01.013.

    Article  Google Scholar 

  • Tigkas D, Vangelis H and Tsakiris G 2012 Drought and climatic change impact on streamflow in small watersheds; Sci. Total Environ. 440 33–41.

    Article  Google Scholar 

  • UN-HABITAT, United Nations Human Settlements Programme 2010 State of the World’s Cities 2010/2011 Report: Bridging the Urban Divide. Nairobi, Kenya, UN-HABITAT.

  • Vicente-Serrano S M, Beguería S and López-Moreno J I 2010a A multiscalar drought index sensitive to global warming: The standardized precipitation evapotranspiration index; J. Climate 23(7) 1696–1718, https://doi.org/10.1175/2009JCLI2909.1.

    Article  Google Scholar 

  • Vicente-Serrano S M, Beguería S, López-Moreno J I, Angulo M and El Kenawy A 2010b A new global 0.5° gridded dataset (1901–2006) of a multiscalar drought index: Comparison with current drought index datasets based on the Palmer drought severity index; J. Hydrometeorol. 11(4) 1033–1043, https://doi.org/10.1175/2010JHM1224.1.

  • Vicente-Serrano S M, Zabalza-Martínez J and Borràs G et al. 2017 Extreme hydrological events and the influence of reservoirs in a highly regulated river basin of northeastern Spain; J. Hydrol. Regional Stud. 12 13–32, https://doi.org/10.1016/j.ejrh.2017.01.004.

    Article  Google Scholar 

  • Von Neumann J 1941 Distribution of the ratio of the mean square successive difference to the variance; Ann. Math. Stat. 12(4) 367–395, https://doi.org/10.1214/aoms/1177731677.

    Article  Google Scholar 

  • Walsh R P D and Lawler D M 1981 Rainfall seasonality: Description, spatial patterns and change through time (British Isles, Africa); Weather 36(7) 201–208, https://doi.org/10.1002/j.1477-8696.1981.tb05400.x.

    Article  Google Scholar 

  • Wilhite D A and Glantz M H 1985 Understanding: the drought phenomenon: The role of definitions; Water Int. 10(3) 111–120, https://doi.org/10.1080/02508068508686328.

    Article  Google Scholar 

  • Wolter K and Timlin M S 2011 El Niño/Southern Oscillation behaviour since 1871 as diagnosed in an extended multivariate ENSO index (MEI.ext); Int. J. Climatol. 31 1074–1087, https://doi.org/10.1002/joc.2336.

    Article  Google Scholar 

  • WWAP, United Nations World Water Assessment Programme 2015 United Nations World Water Development Report 2015: Water for a Sustainable World, Paris, UNESCO.

  • WWAP, United Nations World Water Assessment Programme, UN-Water 2018 The United Nations World Water Development Report 2018: Nature-Based Solutions for Water, Paris, UNESCO.

  • Xu K, Qin G, Niu J, Wu C, Hu B X, Huang G and Wang P 2018 Comparative analysis of meteorological and hydrological drought over the Pearl River basin in southern China; Hydrol. Res. 50(1) 301–318, https://doi.org/10.2166/nh.2018.178.

    Article  Google Scholar 

  • Yu M, Liu X and Li Q 2019 Responses of meteorological drought-hydrological drought propagation to watershed scales in the upper Huaihe River basin, China; Environ. Sci. Pollut. Res., https://doi.org/10.1007/s11356-019-06413-2.

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Acknowledgements

The authors would like to thank the Department of Science and Technology, Government of India (Grant No: DST/TM/WTI/WIC/2K17/82(G)) for financial support. We also like to thank the Public Works Department, Tamilnadu and India Meteorological Department, Chennai for the meteorological data.

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Anandharuban P carried out the data collection, analysis, interpretation and manuscript preparation. Elango L conceptualized and supervised this study, reviewed the manuscript and obtained funding for this work.

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Correspondence to L Elango.

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Communicated by N V Chalapathi Rao

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Anandharuban, P., Elango, L. Spatio-temporal analysis of rainfall, meteorological drought and response from a water supply reservoir in the megacity of Chennai, India. J Earth Syst Sci 130, 17 (2021). https://doi.org/10.1007/s12040-020-01538-2

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  • DOI: https://doi.org/10.1007/s12040-020-01538-2

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