Abstract
The water resources management has of late become a very challenging task due to manifold challenges of multi-sectoral demands, decreasing availability coupled with the looming threats of climate change. The Bundelkhand region in central India is primarily dependent on rain-fed agriculture. In this semi-arid region, drought is becoming frequent, and there is an increasing pressure on scarce resources such as farm land, water and pastures. The growing water demand across competitive sectors, increasing severity of droughts, declining groundwater levels, and deteriorating water quality are some of the crucial problems faced by the stakeholders in the water sector of this region. Effective solutions to the water problems must tackle both the supply and demand, identify user’s actual needs and proceed with appropriate technologies. Integrated Water Resources Management (IWRM) approach is considered to be particularly useful for the water resources management in such semi-arid regions of India. Estimation of the available water supplies and the demands is the first and foremost task in developing management strategies for water-scarce regions. This paper presents the results of a detailed water balance study carried out for Ur River watershed in Tikamgarh district of Madhya Pradesh (India) by quantifying the important hydrological components during 1999–00 to 2010–11. The spatial information pertaining to the topography, land use and soil type have been extracted using the ArcGIS 9.3 and crop water requirements computed by CROPWAT 8.0. It is observed that surface runoff of 301, 206 and 333 MCM was generated during the wet years 1999–00, 2003–04 and 2008–09 for an annual rainfall of 1212, 1035 and 1196 MCM, respectively. The water budget helps to understand the overall water availability and demand scenario, particularly during periods of droughts, so that effective water resources management schemes can be devised.
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References
Alley WM (1984) On the treatment of evapotranspiration, soil moisture accounting and aquifer recharge in monthly water balance models. Water Resour Res 20(8):1137–1149
Alley WM (1985) Water balance models in one month ahead stream flow forecasting. Water Resour Res 21(4):597–606
Anatoliki SA, Fikos I, Ziankas G, Rizapoulou A, Famellos S (2005) Water balance estimation in the Anthemountas river basin and correlation with underground water level. Global NEST J 7(3):354–359
Arnall NW (1992) Factors controlling the effects of climate change on river flow regimes in humid temperate environment. J Hydrol 132:321–342
Gabos A, Gasparri L (1983) Monthly runoff model for regional planning. Water Int 8:42–45
Gleick PH (1987) The development and testing of a water balance model for climate impact assessment: modelling the Sacramento basin. Water Resour Res 23(6):1049–1061
Gleik PH (1986) Methods for evaluating the regional hydrologic impacts of global climatic changes. J Hydrol 88:97–116
Hsin F, Yeh H, Shing T, Chang MH, Hsu KC, Lee CH (2007) GIS and SBF for estimating groundwater recharge of a mountainous basin in the Wu River watershed, Taiwan
Hughes DA (1982) Conceptual catchment model parameter transfer studies using monthly data from the Southern Cape Coastal lakes Region, Report 1/82, Hydrological Research Unit, Rhodes University, Graham’s town
Kumar SR (2001) Water balance study of Krishnai river basin according to Thornthwaite’s concept of potential evapotranspiration, CS/AR-2/2000-01
Kundzewicz ZW, Parry ML (2001) Chapter 13. In: McCarthy JJ, Canziani OF, Leary NA, Dokken DJ, White KS (eds) Climate change 2001. Impacts, adaptation, and vulnerability. Contribution of Working Group II to the third assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, pp 641–692
Parry ML (2007) Climate change 2007: impacts, adaptation and vulnerability: contribution of Working Group II to the fourth assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press, UK
Roberts PJT (1978) A comparison of the performance of selected conceptual models of the rainfall runoff process in semi-arid catchments near Grahams town, Report 1/78, Hydrological Research Unit, Rhodes University, Grahams town
Schaake JKV, Duan Y (1996) Simple water balance model for estimating runoff at different spatial and temporal scale. Geophys Recharge 101(D3):7461–7475
Schaake JC, Liu C (1989) Development and application of simple water balance models to understand the relationship between climate and water resources. In: Kavvas ML (ed) New directions for surface water modelling. Proceedings of the Baltimore symposium, May 1989, IAHS Publ. No. 181
Singh RK, Prasad VH (2004) Remote sensing and GIS approach for assessment of the water balance of a watershed. Hydrol Sci J 49(1)
Tekleab S, Uhlenbrook S, Mohamed Y, Savenije HHG, Temesgen M, Wenninger J (2011) Water balance modelling of upper Blue Nile catchments using a top-down approach. Hydrol Earth Syst Sci 15:2179–2193
Thornthwaite CW (1948) An approach toward a rational classification of climate. Geogr Rev 38(1):55–94
Thornthwaite CW, Mather JR (1955) The water balance, vol 8(8). Publications in Climatology. Laboratory of Climatology. Drexel Institute of Technology, pp 1–104
Thornthwaite CW, Mather JR (1957) Instructions and tables for computing potential evapotranspiration and the water balance, vol 10(3). Publications in Climatology, Drexel Institute of Technology, pp 185–311
Toebes C (1961) The phi-index for infiltration rates. Handbook of Hydrology, Proceedings No. 1. SCRCC, Wellington
Tuffuor S, Labadie JW (1973) A nonlinear time variant rainfall-runoff model for augmenting monthly data. Water Resour Res 19(6):1161–1166
USCB, Robert J, Galvin MD, Governor MPH (2003) Commission estimated populations in Connecticut as of 1 July 2003, State of Connecticut, Department of Public Health, Health Care Quality, Statistics, Analysis and Reporting
Van der Beken A, Byloos J (1977) A monthly water balance model including deep infiltration and canal losses. Hydrol Sci Bull 22(3):341–351
Vandewiele GL, Xu CY, NiLar W (1992) Methodology and comparative study of monthly water balance models in Belgium, China and Burma. J Hydrol 134:315–347
Xu CY, Halldin S (1996) The effect of climate change in river flow and snow cover inthe NOPEX area simulated by a simple water balance model. In: Proceedings of Nordic hydrological conference, Alkureyri, Iceland, vol 1, pp 436–445
Xu CY, Singh VP (1998) A review on monthly water balance models for water resources investigations. Water Res Manag 12(1):20–50
Xu CY, Vandewiele GL (1995) Parsimonious monthly rainfall runoff models for humid basins with different input requirements. Adv Water Resour 18:39–48
Zhang L, Dawes WR, Walker GR (2001) Response of mean annual evapotranspiration to vegetation changes at catchment scale. Water Resour Res 37(3):701–708
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Goyal, V.C., Thomas, T., Goyal, S., Kale, R.V. (2018). Water Supply–Demand Assessment in Ur River Watershed in Tikamgarh District. In: Singh, V., Yadav, S., Yadava, R. (eds) Water Resources Management. Water Science and Technology Library, vol 78. Springer, Singapore. https://doi.org/10.1007/978-981-10-5711-3_21
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