Advertisement

Water Resources Management

, Volume 30, Issue 6, pp 1939–1951 | Cite as

Estimation of Groundwater Recharge from the Rainfall and Irrigation in an Arid Environment Using Inverse Modeling Approach and RS

  • Hydar Ebrahimi
  • Reza Ghazavi
  • Haji Karimi
Article

Abstract

Quantifying recharge from agricultural areas is important to sustain long-term groundwater use, make intelligent groundwater allocation decisions, and develop on-farm water management strategies. The scarcity of data in many arid regions, especially in the Middle East, has necessitated the use of combined mathematical models and field observations to estimate groundwater recharge. This study was designed to assess the recharge contribution to groundwater from rainfall and irrigation return flow in the Mosian plain, west of Iran. The Inverse modeling approach and remote sensing technology (RS) were used to quantify the groundwater recharge. The recharge for steady–state conditions was estimated using the Recharge Package of MODFLOW. The land-use map for the research area was produced using remote sensing and satellite images technology. According to results, groundwater recharge from the rainfall and irrigation return flow was at the rate of 0.15 mm/day. The recharge to the groundwater from rainfall was about 0.08 mm/day (10.8 % of total rainfall). The average of groundwater recharge contribution in the study area was about 0.39 mm/day that include 15.2 % of the total water used in the irrigated fields. We can conclude that irrigation water is the most important resource of groundwater recharge in this area, consequently, it should be integrated into relevant hydrological models as the main source of groundwater recharge.

Keywords

Ground-Water Inverse Modeling Remote Sensing Recharge Mosian aquifer 

References

  1. Ahmad N, Chaudhary G R (1988) Irrigated Agriculture of Pakistan. 61-B/2, Gulberg III, Lahore. PakistanGoogle Scholar
  2. Anderson MP, Woessner WW (1992) Applied ground water modeling simulation of flow and advective transport Academic press INC pp:11–102Google Scholar
  3. Albuquerque MTD, Sanz G, Oliveira SF, Martinez-Alegria R, Antunes IMHR (2013) Spatio-temporal groundwater vulnerability assessment - a coupled remote sensing and GIS approach for historical land cover reconstruction. Water Resour Manag 27(13):4509–4526CrossRefGoogle Scholar
  4. Arshad M, Rafiq Choudhry M, Ahmed N (2005) Estimation of groundwater recharge from irrigated fields using analytical approach. Int J Agri Biol 7(2):285–286Google Scholar
  5. Barron OV, Donn MJ, Barr AD (2012) Urbanisation and shallow groundwater: predicting changes in catchment hydrological responses. Water Resour Manag 27(1):95–115CrossRefGoogle Scholar
  6. Bhoopesh D, Joisy MB (2012) Assessment of natural groundwater recharge for a river basin. TIST Int J Sci Tech Res 1:19–26Google Scholar
  7. Butterworth JA, Macdonald DMJ, Bromley J, Simmonds LP, Lovell CJ, Mugabe F (1999) Hydrological processes and water resources management in a dryland environment III: groundwater recharge and recession in a shallow weathered aquifer. Hydrol Earth Syst Sci 3:345–351. doi: 10.5194/hess-3-345-1999 CrossRefGoogle Scholar
  8. Dahan O, McGraw D, Adar E, Pohll G, Bohm B, Thomas J (2004) Multi-variable mixing cell model as a calibration and validation tool for hydrogeologic groundwater modeling. J Hydrol 293:115–136. doi: 10.1016/j.jhydrol.2004.01.019 CrossRefGoogle Scholar
  9. De Vries JJ, Simmers I (2002) Groundwater recharge: an overview of processes and challenges. Hydrogeol J 10:5–17CrossRefGoogle Scholar
  10. Flint A, Flint L, Kwicklis E, Fabryka-Martin J, Bodvarsson G (2002) Estimating recharge at Yucca Mountain, Nevada, USA: comparison of methods. Hydrogeol J 10:180–204. doi: 10.1007/s10040-001-0169-1 CrossRefGoogle Scholar
  11. Ghazavi R, VAli AB, Eslamian S (2012) Impact of flood spreading on groundwater level variation and groundwater quality in an arid environment. Water Resour Manag 26(6):1651–1663CrossRefGoogle Scholar
  12. Ghazavi R, Vali AB, Eslamian S (2010) Impact of flood spreading on infiltration rate and soil properties in an arid environment. Water Resour Manag 24(11):2781–2793CrossRefGoogle Scholar
  13. Goodarzi M, Abedi-koubani J, Heidarpour M, Safavi HR (2016) Evaluation of the effects of climate change on groundwater recharge using a hybrid method. Water Resour Manag 30(1):133–148CrossRefGoogle Scholar
  14. Hashemi H, Berndtsson R, Kompani-Zare M, Persson M (2013) Natural vs. artificial groundwater recharge, quantification through inverse modeling. Hydrol Earth Syst Sci 17:637–650CrossRefGoogle Scholar
  15. Healy R, Cook P (2002) Using groundwater levels to estimate recharge. Hydrogeol J 10:91–109. doi: 10.1007/s10040-001-0178-0 CrossRefGoogle Scholar
  16. Hendricks Franssen HJ, Alcolea A, Riva M, Bakr M, Vander Wiel N, Stauffer F, Guadagnini A (2009) A comparison of seven methods for the inverse modelling of groundwater flow. Application to the characterization of well catchments. Adv Water Resour 32:851–872. doi: 10.1016/j.advwatres.2009.02.011 CrossRefGoogle Scholar
  17. Kalaidzidou-Paikou N, Karamouzis D, Moraitis D (1997) A finite element model for the unsteady groundwater flow over sloping beds. Water Resour Manag 11(1):69–81CrossRefGoogle Scholar
  18. Karlsen RH, Smits FJC, Stuyfzand PJ, Olsthoorn TN, Van Breukelen BM (2012) A post audit and inverse modeling in reactive transport: 50 years of artificial recharge in the Amsterdam Water Supply Dunes. J Hydrol pp:454–455. doi: 10.1016/j.jhydrol.2012.05.019
  19. Kemper KE (2004) Groundwater from development to management. Hydrogeol J 12:3–5CrossRefGoogle Scholar
  20. Kowsar A (1992) Desertification control through floodwater spreading in Iran. Unasylva 43(168):27–30Google Scholar
  21. Leblanc M, Leduc C, Razack M, Lemoalle J, Dagorne D, Mofor L (2003) Application of remote sensing and GIS for groundwater modeling of large semiarid areas: example of the Lake Chad Basin, Africa. In: Hydrology of Mediterranean and semiarid regions conference, Montpieller France Red Books Series IAHS Wallingford 278:186–192Google Scholar
  22. Lin YF, Anderson MP (2003) A digital procedure for ground water recharge and discharge pattern recognition and rate estimation. Ground Water 41:306–315. doi: 10.1111/j.1745-6584.2003.tb02599.x CrossRefGoogle Scholar
  23. Lio HL, Bao AM, Pan XL, Chen X (2013) Effect of land-use change and artificial recharge on the groundwater in an arid inland river basin. Water Resour Manag 27(11):3775–3790CrossRefGoogle Scholar
  24. MahabGhods Consulting engineers (1992) Studies project of utilization of soil and water resources in Meymeh and Doiraj River basins (first stage); Groundwater report for Dehloran, Mosian and Eyn-e-khosh plains. Ministry of Energy, Iran pp: 320–340Google Scholar
  25. Malik V, Singh R, Singh S (2012) Ground water modeling with processing MODFLOW for windows, (PMWIN) for the water balance study and suitable recharge site: case of Gurgaon District, Harayana, India. Int J Appl Innov Eng Manag (IJAIEM) Issue 1:72–84Google Scholar
  26. Minville M, Krau S, Brissette F, Leconte R (2010) Behaviour and performance of a water resource system in Québec (Canada) under adapted operating policies in a climate change context. Water Resour Manag 24:1333–1352CrossRefGoogle Scholar
  27. Mukherjee P, Kumar-Sing C, Mukherjee S (2012) Delineation of groundwater potential zones in arid region of India—a remote sensing and GIS approach. Water Resour Manag 26(9):2643–2672CrossRefGoogle Scholar
  28. Murthy KSR (2000) Groundwater potential in a semi-arid region of Andhra Pradesh-a geographical information system approach. Int J Remote Sens 21:1867–1884CrossRefGoogle Scholar
  29. Poeter EP, Hill MC (1997) Inverse models: a necessary next step in ground-water modeling. Ground Water 35:250–260. doi: 10.1111/j.1745-6584.1997.tb00082.x CrossRefGoogle Scholar
  30. Samper-Calvete FJ, García-Vera MA (1998) Inverse modeling of groundwater flow in the semiarid evaporitic closed basin of Los Monegros. Spain Hydrogeol J 6:33–49. doi: 10.1007/s100400050132 CrossRefGoogle Scholar
  31. Sanford W (2002) Recharge and groundwater models: an overview. Hydrogeol J 10:110–120CrossRefGoogle Scholar
  32. Scanlon BR, Healy RW, Cook PG (2002) Choosing appropriate techniques for quantifying groundwater recharge. Hydrogeol J 10:18–39CrossRefGoogle Scholar
  33. Sener E, Davraz A, Ozcelik M (2005) An integration of GIS and remote sensing in groundwater investigations: a case study in Burdur, Turkey. Hydrogeol J 13:826–834CrossRefGoogle Scholar
  34. Shukla S, Jaber F (2006) Groundwater Recharge from Agricultural Areas in the Flatwoods Region of South Florida. University of Florida. IFAS Fact Sheet ABE370 EDIS Web Site at http://edis.ifas.ufl.edu
  35. Sonnenborg TO, Christensen BSB, Nyegaard P, Henriksen HJ, Refsgaard JC (2003) Transient modeling of regional groundwater flow using parameter estimates from steady-state automatic calibration. J Hydrol 273:188–204CrossRefGoogle Scholar
  36. Sutanudjaja EH, Van Beek LPH, de Jong SM, Van Geer FC, Bierkens MFP (2011) Large-scale groundwater modeling using global datasets: a test case for the Rhine-Meuse basin. Hydrol Earth Syst Sci 15:2913–2935. doi: 10.5194/hess-15-2913-2011 CrossRefGoogle Scholar
  37. Tang A, Mays LW (1998) Genetic algorithms for optimal operation of soil aquifer treatment systems. Water Resour Manag 12(5):375–396CrossRefGoogle Scholar
  38. Taylor RG, Howard KWF (1996) Groundwater recharge in the Victoria Nile basin of east Africa: support for the soil moisture balance approach using stable isotope tracers and flow modeling. J Hydrol 180:31–53CrossRefGoogle Scholar
  39. Tweed SO, Leblanc M, Webb JA, Lubczynski MW (2007) Remote sensing and GIS for mapping groundwater recharge and discharge areas in salinity prone catchments, southeastern Australia. Hydrogeol J 15:75–96CrossRefGoogle Scholar
  40. Vázquez-Suñé E, Carrera J, Tubau I, Sánchez-Vila X, Soler A (2010) An approach to identify urban groundwater recharge. Hydrol Earth Syst Sci 14:2085–2097. doi: 10.5194/hess-14-2085-2010 CrossRefGoogle Scholar
  41. Yeh H, Lee C, Hsu K, Chang P (2009) GIS for the assessment of the groundwater recharge potential zone. Environ Geol 58:185–195CrossRefGoogle Scholar
  42. Zhu C (2000) Estimate of recharge from radiocarbon dating of groundwater and numerical flow and transport modeling. Water Resour Res 36:2607–2620CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  1. 1.Department of Watershed Management, Faculty of Natural Resources and Earth SciencesUniversity of KashanKashanIran
  2. 2.Department of Range and Watershed Management, Faculty of AgricultureUniversity of IlamIlamIran

Personalised recommendations