Abstract
Groundwater recharge from rainfall is a major input into aquifers, especially in arid and semi-arid areas, where little or no surface water exist. However, estimation of rainfall recharge is not an easy task as it is highly variable spatially and temporally. In arid areas, recharge occurs indirectly after rainfall-runoff accumulates in low lands such as Wadis and percolates the aquifer. The method proposed in this study to estimate rainfall recharge is based on soil–water budget model and utilizing geoprocessing tools in GIS. It uses digital elevation model (DEM), land-cover and rainfall distribution to estimate runoff accumulation in low lands. The soil–water budget model is then applied to estimate the groundwater recharge in areas of runoff accumulation. The proposed methodology was applied on Qatar karst aquifer as a case study. The spatial resolution of raster maps was 350 by 350 m and the temporal resolution is one day. Results obtained in this study for the hydrological year 2013/2014 show the total groundwater recharge is approximately 14 million m3, and concentrated more in the northern part of Qatar. The method can be applied on any arid region.
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References
Al Mamoon A, Rahman A (2014) Identification of Rainfall Trends in Qatar. International Conference on Environmental Systems Science and Engineering, Sydney, Australia, Volume: Volume 8, No. 12 Part V. pp 735–739
Al-Kaabi, Zabia Hamad. (1987). The determinants of the future of agriculture in Qatar. Master thesis, Durham University
Baalousha HM (2005) Using CRD method for quantification of groundwater recharge in the Gaza Strip. Palestine. Environ Geol 48(7):889–900
Baalousha HM (2009) Stochastic water balance model for rainfall recharge quantification in Ruataniwha Basin, New Zealand. Environ Geol 58(1):85–93
Baalousha HM (2016a) Development of a groundwater flow model for the highly parameterized Qatar aquifers. Model Earth Syst Environ.https://doi.org/10.1007/s40808-016-0124-8
Baalousha HM (2016b) Using Monte Carlo simulation to estimate natural groundwater recharge in Qatar. Model Earth Syst Environ. https://doi.org/10.1007/s40808-016-0140-8
Baalousha HM (2016c) Groundwater vulnerability mapping of Qatar aquifers. J Afr Earth Sci. https://doi.org/10.1016/j.jafrearsci.2016.09.017
Bazaraa AS (1989) Estimates of potential Evapotranspiration over the state of Qatar. Eng J Qatar Univ 2:119–1333
Bazuhair AS, Wood WW (1995) Chloride mass-balance method for estimating ground water recharge in arid areas: examples from western Saudi Arabia. J Hydrol 186:153–159
Beekman HE, Gieske A, Selaolo ET (1996) GRES: groundwater recharge studies in Botswana 1987–1996. Botswana J Earth Sci III:1–17
Bekesi G, McConchie J (1999) Groundwater recharge modelling using the Monte Carlo technique, Manawatu region, New Zealand. J Hydrol 224:137–148
Duggan J, Jameson J, Ross R, Strohmenger C (2014) Testing karst hazard predictions in Qatar. http://www.equipegroup.com/pdfs/James%20Duggan%20%20Testing%20Karst%20hazard%20prediction%20in%20Qatar.pdf
Eccleston BL, Harhash I (1982) The hydrogeology of Qatar. Water Resources and Agricultural Development Project, phase III, 173
Eccleston BL, Pike JG, Harhash I (1981) The water resources in Qatar and their development. Food and Agricultural Organization of the United Nations
Harhash IE, Yousif AM (1985) Groundwater recharge estimates for the period 1972–1983. Ministry of Industry and Agriculture, Department of Agricultural and Water Research, February 1985
Healy RW (2010) Estimating groundwater recharge. Cambridge University Press, Cambridge, 257p
Kimrey J (1985) Proposed artificial recharge studies in northern Qatar. United States Department of the Interior Geological Survey. Open file report 85–343, 1985
Kinzelbach W, Aeschbach W, Alberich C, Goni IB, Beyerle U, Brunner P, Chiang W-H, Rueedi J, Zoellmann K (2002) A Survey of Methods for Groundwater Recharge in Arid and Semi-arid regions. Early Warning and Assessment Report Series, UNEP/DEWA/RS.02–2. United Nations Environment Programme, Nairobi, Kenya. ISBN 92-80702131-3
Machiwal D, Jha MK (2015) GIS-based water balance modeling for estimating regional specific yield and distributed recharge in data-scarce hard-rock regions. J Hydro-Environ Res 9:554–568
Ministry of Development Planning and Statistics (2014) Environment Statistics Annual Report 2013. http://www.mdps.gov.qa
Ministry of Development Planning and Statistics (2017) Population archive. http://www.mdps.gov.qa/en/statistics1/StatisticsSite/Pages/Population.aspx
Ministry of Development Planning and Statistics (MDPS) (2016) Water Statstics. Retrieved from http://www.mdps.gov.qa/ar/statistics1/Pages/default.aspx
Ministry of Municipal Affairs and Agriculture (2005) The Atlas of Soils for The State of Qatar
Penman HL (1948) Natural evaporation from open water, bare soil and grass. Proc R Soc Lond A(194):120–145
Pike JG, Harhash I, Gemmell BAP (1975) Rainfall and groundwater recharge over Qatar Food and Agriculture Organisation. Rome (Italy), 39
Schlumberger Water Services (2009) Studying and developing the natural and artificial recharge of the groundwater in aquifer in the State of Qatar, Appendices
Seiler K-P, Gat JR (2007) Groundwater Recharge from Run-off, Infiltration and Percolation. Springer, The Netherlands, 257
Thornthwaite CW, Mather JR (1957) Instructions and tables for computing potential evapotranspiration and water balance. Centerton, N.J. Laboratory of Climatology. Publ Climatol 10:185–311
United States Department of Agriculture (1986) Urban hydrology for small watersheds. Technical Release 55 (TR-55) (Second ed.). Natural Resources Conservation Service, Conservation Engineering Division
United States Geological Survey (2010) SWB-A Modified Thornthwaite-Mather. Soil-Water-Balance Code for Estimating. Groundwater Recharge. Chapter 31 of. Section A, Groundwater, of. Book 6-A31. U.S. Department of Interior, U.S. Geological Survey
Xu Y, Beekman HE (2003) Groundwater recharge estimation in Southern Africa. UNESCO IHP Series No. 64, UNESCO Paris. ISBN:92-9220-000-3
Xu Y, van Tonder GJ (2001) Estimation of recharge using a revised CRD method. Water SA 27:341–344
Yurtsever Y, Payne BR (1978) Application of environmental isotopes to groundwater investigations in Qatar. In: International Atomic Energy Agency, Vienna (Austria); United Nations Educational, Scientific and Cultural Organization, 75—Paris (France); Proceedings series; v. 2 p. 465–490; ISBN 92-0-040179-1; Worldcat; 1979; v. 2 p. 465–490; IAEA; Vienna; International symposium on isotope hydrology; Neuherberg, Germany, F.R; 19–23 Jun 1978; IAEA-SM–228/24
Zhen-min Z (2011) Application of Monte Carlo method in recharge calculation of underground water resources. Procedia Eng 23:316–319
Acknowledgements
This paper was made possible by NPRP grant # [NPRP 9-030-1-008] from the Qatar National Research Fund (a member of Qatar Foundation). The findings achieved herein are solely the responsibility of the authors.
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Baalousha, H.M., Barth, N., Ramasomanana, F.H. et al. Groundwater recharge estimation and its spatial distribution in arid regions using GIS: a case study from Qatar karst aquifer. Model. Earth Syst. Environ. 4, 1319–1329 (2018). https://doi.org/10.1007/s40808-018-0503-4
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DOI: https://doi.org/10.1007/s40808-018-0503-4