Abstract
India’s continued development depends on the availability of adequate water. This paper applies a data-driven approach to estimate the intra-annual dynamics of water stress across the central Indian Highlands over the period 2002–2012. We investigate the spatial distribution of water demanding sectors including industry, domestic, irrigation, livestock and thermal power generation. We also examine the vulnerability of urban centers within the study area to water stress. We find that 74 % of the area of the central Indian Highlands experienced water stress (defined as demand exceeding supply) for 4 or more months out of the year. The rabi (winter) season irrigation drives the intra-annual water stress across the landscape. The Godavari basin experiences the most surface water stress while the Ganga and Narmada basins experience water stress due to groundwater deficits as a result of rabi irrigation. All urban centers experience water stress at some time during a year. Urban centers in the Godavari basin are considerably water stressed, for example, Achalpur, Nagpur and Chandrapur experience water stress 8 months out of the year. Irrigation dominates water use accounting for 95 % of the total water demand, with substantial increases in irrigated land over the last decade. Managing land use to promote hydrologic functions will become increasingly important as water stress increases.
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Notes
For the purpose of this study the Ganga Basin is comprised of the headwaters of the Kali Sindh, Chambal Lower, Yamuna Lower, Tons and Sone sub-basins.
Cattle, water buffalo, camels, mithun, yak, horses, mules, donkeys, goats, pigs, rabbits, chickens, turkeys, ducks, poultry farms, and dogs.
The estimated ratio of kharif to rabi season water withdrawals is 0.41, the ratio of pumping hours between the two seasons recorded in the MI data is 0.45.
References
Amarasinghe UA, Shah T, Turral H, Anand BK (2007) India’s water future to 2025–2050: business-as-usual scenario and deviations. IWMI research report 123. International Water Management Institute, Colombo, Sri Lanka. http://www.iwmi.cgiar.org/Publications/IWMI_Research_Reports/PDF/PUB123/RR123.pdf. Accessed on 06 November 2015
Amarasinghe U, Sharma B, Aloysius N, Scott C, Christopher V, de Fraiture C (2005) Spatial variation in water supply and demand across river basins of India. IWMI research report 83. International Water Management Institute, Colombo, Sri Lanka. http://www.iwmi.cgiar.org/Publications/IWMI_Research_Reports/PDF/pub083/RR83.pdf. Accessed on 06 November 2015
Banerjee S, Barnes D, Singh B, Mayer K, Samad H (2015) Power for all: electricity access challenge in India. World Bank, Washington, DC. doi:10.1596/978-1-4648-0341-3
Bruijnzeel LA (2004) Hydrological functions of tropical forests: not seeing the soil for the trees? Agric Ecosyst Environ 104(1):185–228. doi:10.1016/j.agee.2004.01.015
Bülbül T (2010) Energy and nutrient requirements of buffaloes. Kocatepe Vet J 3(2):55–64
Burnash RJC (1995) The NWS river forecast system-catchment modeling. In: Singh VP (ed) Computer models of watershed hydrology. Water Resources Publications, Littleton, pp 311–366
Census of India (2012a) Sources of lighting: 2001–2011. Office of the Registrar General & Census Commissioner, New Delhi. http://www.censusindia.gov.in/2011census/hlo/Data_sheet/India/Source_Lighting.pdf. Accessed on 26 March 2015
Census of India (2012b) Village/town-wise primary census abstract, 2011. Office of the Registrar General & Census Commissioner, New Delhi. http://censusindia.gov.in/pca/pcadata/pca.html. Accessed on 26 March 2015
Central Groundwater Board (2011a) Groud water scenario in major cities of India. Minsitry of Water Resources, Government of India. http://www.indiaenvironmentportal.org.in/files/GW-Senarioin%20cities-May2011.pdf. Accessed on 26 March 2015
Central Groundwater Board (2011b) Dynamic ground water resources of India. Minsitry of Water Resources, Government of India. http://www.cgwb.gov.in/Documents/Dynamic-GW-Resources-2009.pdf. Accessed on 26 March 2015
Das KC, Prakash B, Rajkhowa C (2008) Nutrition and feeding of mithun (bos frontalis) in hill livestock farming system. Indian J Anim Nutr 25:1–10
Deaton A, Kozel V (2005) Data and dogma: the great indian poverty debate. World Bank Res Obs 20(2):177–199. doi:10.1093/wbro/lki009
FAO (2015) AQUASTAT database. Food and Agriculture Organization of the United Nations
Fowler M, Miller R (2003) Zoo and wild animal medicine, 5th edn. Saunders, St. Louis
Gaughan AE, Stevens FR, Linard C, Jia P, Tatem AJ (2013) High resolution population distribution maps for Southeast Asia in 2010 and 2015. PLoS ONE 8(2):e55882. doi:10.1371/journal.pone.0055882
Goswami BN, Venugopal V, Sengupta D, Madhusoodanan MS, Xavier PK (2006) Increasing trend of extreme rain events over India in a warming environment. Science 314(5804):1442–1445. doi:10.1126/science.1132027
Hansen MC, Potapov PV, Moore R, Hancher M, Turubanova SA, Tyukavina A, Thau D, Stehman SV, Goetz SJ, Loveland TR, Kommareddy A, Egorov A, Chini L, Justice CO, Townshend JRG (2013) High-resolution global maps of 21st-century forest cover change. Science 342(6160):850–853. doi:10.1126/science.1244693
Hong Y, Hsu KL, Sorooshian S, Gao X (2004) Precipitation estimation from remotely sensed imagery using an artificial neural network cloud classification system. J Appl Meteorol 43(12):1834–1852. doi:10.1175/JAM2173.1
Hsu KL, Sorooshian S (2008) Satellite-based precipitation measurement using PERSIANN system. In: Sorooshian S, Hsu K-L, Coppola E et al (eds) Hydrological modelling and the water cycle, vol 63. Springer, Berlin, pp 27–48. doi 10.1007/978-3-540-77843-1
Khalid IM, Mukhtar A, Zanib A (2014) Water scarcity in South Asia: a potential conflict of future decades. J Polit Stud 21(1):259–280
Kohli A (2009) Democracy and development: essays on state, society, and economy. Oxford University Press, Oxford
Koren V, Reed S, Smith M, Zhang Z, Seo DJ (2004) Hydrology laboratory research modeling system (HL-RMS) of the US national weather service. J Hydrol 291(3–4):297–318. doi:10.1016/j.jhydrol.2003.12.039
Krishnan R, Sabin TP, Ayantika DC, Kitoh A, Sugi M, Murakami H, Turner AG, Slingo JM, Rajendran K (2013) Will the South Asian monsoon overturning circulation stabilize any further? Clim Dyn 40(1–2):187–211. doi:10.1007/s00382-012-1317-0
Krishnaswamy J, Vaidyanathan S, Rajagopalan B, Bonell M, Sankaran M, Bhalla R, Badiger S (2014) Non-stationary and non-linear influence of ENSO and Indian Ocean Dipole on the variability of Indian monsoon rainfall and extreme rain events. Clim Dyn. doi:10.1007/s00382-014-2288-0
Lovelace JK (2009) Methods for estimating water withdrawals for mining in the United States, 2005. U.S. Geological Survey, Reston
Macknick JR, Newmark G, Heath HallettKC (2012) Operational water consumption and withdrawal factors for electricity generating technologies: a review of existing literature. Environ Res Lett 7(4):045802
McDonald R, Shemie D (2014) Urban water blueprint: mapping conservation solutions to the global water challenge. The Nature Conservancy, Washington, DC
Mehta D, Mehta N (2013) Interlinking of rivers in India: issues and challenges. Geo-Eco-Marina 19:137–143
Ministry of Drinking Water & Sanitation (2013) Movement towards ensuring people’s drinking water security in rural India: Guidelines-2013. National Rural Drinking Water Programme. Government of India. http://www.indiaenvironmentportal.org.in/files/file/NRDWP_Guidelines_2013.pdf. Accessed on 26 March 2015
Ministry of Urban Development (2011) Minimum set of standard performance parameters. Government of India. http://moud.gov.in/sites/upload_files/moud/files/pdf/Indicators&Benchmarks.pdf. Accessed on 26 March 2015
Mishra V (2015) Climatic uncertainty in Himalayan water towers. J Geophys Res Atmos 120(7):2689–2705. doi:10.1002/2014JD022650
Mu Q, Zhao M, Running SW (2011) Improvements to a MODIS global terrestrial evapotranspiration algorithm. Remote Sens Environ 115(8):1781–1800. doi:10.1016/j.rse.2011.02.019
Mukasa-Mugerwa E (1981) The camel (camelus dromedarius): a bibliographical review. ILCA Monograph 5. Addis Ababa, Ethiopia, International Livestock Centre for Africa
NASA and Japan ASTER Program (2011) ASTER scene, ASTER GDEM v2
Ogaldez J, Barker A, Zhao F, Sutherland J (2012) Water footprint quantification of machining processes. Leveraging technology for a sustainable world. In: Dornfeld DA, Linke BS (eds) Leveraging Technology for a Sustainable World. Springer, Berlin, pp 461–466. doi:10.1007/978-3-642-29069-5_78
Pal DT, Dhali A, Mondal SK, Rajkhowa C, Bujarbaruah KM (2008) Water intake and utilization in mithun (Bos frontalis): effect of environmental temperature, rearing system and concentrate feed supplement. J Mt Sci 5(2):178–188. doi:10.1007/s11629-008-0104-1
Roxy MK, Ritika K, Terray P, Murtugudde R, Ashok K, Goswami BN (2015) Drying of Indian subcontinent by rapid Indian Ocean warming and a weakening land-sea thermal gradient. Nat Commun 6. doi:10.1038/ncomms8423
Sabeerali CT, Rao S, Dhakate AR, Salunke K, Goswami BN (2014) Why ensemble mean projection of south Asian monsoon rainfall by CMIP5 models is not reliable? Clim Dyn. doi:10.1007/s00382-014-2269-3
Saha A, Ghosh S, Sahana AS, Rao EP (2014) Failure of CMIP5 climate models in simulating post-1950 decreasing trend of Indian monsoon. Geophys Res Lett 41(20):7323–7330. doi:10.1002/2014GL061573
Sarkar M, Das B, Mondal D, Chatterjee A (2002) Physiological responses of yak under different environments. In: Jianlin H, Richard C, Hanotte O, McVeigh C, Rege JEO (eds) Yak production in central Asian highlands: Proceedings of the third international congress on yak held in Lhasa, PR China, 4–9 Sept 2000. International Livestock Research Institute, pp 388–392
Schlink AC, Nguyen ML, Viljoen GJ (2010) Water requirements for livestock production: a global perspective. Rev Sci Tech Int Off Epizoot 29(3):603–619
Sheikh MM, Manzoor N, Ashraf J, Adnan M, Collins D, Hameed S, Manton MJ, Ahmed AU, Baidya SK, Borgaonkar HP, Islam N, Jayasinghearachchi D, Kothawale DR, Premala KHMS, Revadekar JV, Shrestha ML (2015) Trends in extreme daily rainfall and temperature indices over South Asia. Int J Climatol 35(7):1625–1637. doi:10.1002/joc.4081
Sun G, McNulty SG, Moore Myers JA, Cohen EC (2008) Impacts of multiple stresses on water demand and supply across the southeastern United States. J Am Water Resour Assoc 44(6):1441–1457
Tavernia BG, Nelson MD, Caldwell P, Sun G (2013) water stress projections for the Northeastern and Midwestern United States in 2060: anthropogenic and ecological consequences. J Am Water Resour Assoc 49(4):938–952. doi:10.1111/jawr.12075
Tesfa TK, Tarboton DG, Watson DW, Schreuders KAT, Baker ME, Wallace RM (2011) Extraction of hydrological proximity measures from DEMs using parallel processing. Environ Model Softw 26(12):1696–1709. doi:10.1016/j.envsoft.2011.07.018
Thenkabail PS, Biradar CM, Noojipady P, Dheeravath V, Li Y, Velpuri M, Gumma M, Gangalakunta ORP, Turral H, Cai X, Vithanage J, Schull MA, Dutta R (2009) Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium. Int J Remote Sens 30(14):3679–3733. doi:10.1080/01431160802698919
United Nations (2014) World Urbanization Prospects: The 2014 Revision. United Nations Department of Economic and Social Affairs, Population Division, New York
Ward D, McKague K (2007) Water requirements of livestock. http://www.omafra.gov.on.ca/english/engineer/facts/07-023.pdf. Accessed on 14 March 2015
Acknowledgments
We acknowledge the extensive use of MODIS data from NASA and ASTER DEM data from NASA/METI. We would also like to thank the Central Government India (GOI) and State Government of Madhya Pradesh (GOMP) for making available a rich set of data to carry out this work, including the 18th Round of Livestock Census data from Department of Animal Husbandry (GOI), the Minor Irrigation Census data Rounds 2, 3 and 4 from Department of Water Resource (GOI), Environmental Clearance letter from the Ministry of Environment (GOI), Survey of India (GOI), Department of Forests and Climate Change, Madhya Pradesh (GOMP), data from the Green Clearance Watch and data for major irrigation schemes made available by the Water Resources Department, Madhya Pradesh (GOMP).
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Clark, B., DeFries, R. & Krishnaswamy, J. Intra-annual dynamics of water stress in the central Indian Highlands from 2002 to 2012. Reg Environ Change 16 (Suppl 1), 83–95 (2016). https://doi.org/10.1007/s10113-016-1017-0
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DOI: https://doi.org/10.1007/s10113-016-1017-0