Spatial estimation of aquifer’s hydraulic parameters by a combination of borehole data and inverse solution

  • Mohammad-Mahdi Ansarifar
  • Meysam SalarijaziEmail author
  • Khalil Ghorbani
  • Abdol-Reza Kaboli
Original Paper


A combination of borehole data interpretation and inverse solution method used to estimate the spatial distribution of hydraulic conductivity (K) and specific yield (Sy) for the Bandar-e Gaz unconfined aquifer located in Northern Iran considering no access to pumping test data. A numerical model used to simulate the behavior of the aquifer in two 12-month calibration and validation periods. The Nash-Sutcliffe criterion in calibration and validation periods indicates a completely appropriate accuracy and reliability of the combined method. The values of calibrated K and Sy by the inverse solution method are in accordance with their initial estimated values based on boreholes logs data. The estimated K and Sy are in the ranges of 5–15 and 0.024–0.036 m/day and their spatial distribution pattern shows a decreasing trend in the south-to-north direction, which is well suited to the spatial pattern of aquifer sediment’s type and size.


Groundwater Hydraulic conductivity Specific yield Boreholes logs Numerical model 



This manuscript extracted from an MSc thesis at the Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran, and the authors are grateful to the University to provide the conditions for conducting this research.


  1. Al-Salamah IS, Ghazaw YM, Ghumman AR (2011) Groundwater modeling of Saq Aquifer Buraydah Al Qassim for better water management strategies. Environ Monit Assess 173(1–4):851–860CrossRefGoogle Scholar
  2. Ansarifar MM, Salarijazi M, Ghorbani K, Kaboli AR (2019) Simulation of groundwater level in a coastal aquifer. Mar Georesour Geotechnol:1–9Google Scholar
  3. Asfahani J (2017) Porosity and hydraulic conductivity estimation of the basaltic aquifer in Southern Syria by using nuclear and electrical well logging techniques. Acta Geophysica 65(4):765–775CrossRefGoogle Scholar
  4. Ayotte JD, Belaval M, Olson SA, Burow KR, Flanagan SM, Hinkle SR, Lindsey BD (2015) Factors affecting temporal variability of arsenic in groundwater used for drinking water supply in the United States. Sci Total Environ 505:1370–1379CrossRefGoogle Scholar
  5. Bahrami E, Mohammadrezapour O, Salarijazi M, Jou PH (2019) Effect of base flow and rainfall excess separation on runoff hydrograph estimation using gamma model (case study: Jong catchment). KSCE J Civ Eng 23(3):1420–1426CrossRefGoogle Scholar
  6. Bagarello V, Di Prima S, Iovino M (2017) Estimating saturated soil hydraulic conductivity by the near steady-state phase of a Beerkan infiltration test. Geoderma 303:70–77CrossRefGoogle Scholar
  7. Dietrich S, Carrera J, Weinzettel P, Sierra L (2018) Estimation of specific yield and its variability by electrical resistivity tomography. Water Resour Res 54(11):8653–8673CrossRefGoogle Scholar
  8. Doble RC, Crosbie RS (2017) Current and emerging methods for catchment-scale modelling of recharge and evapotranspiration from shallow groundwater. Hydrogeol J 25(1):3–23CrossRefGoogle Scholar
  9. Doble RC, Pickett T, Crosbie RS, Morgan LK, Turnadge C, Davies PJ (2017) Emulation of recharge and evapotranspiration processes in shallow groundwater systems. J Hydrol 555:894–908CrossRefGoogle Scholar
  10. Doherty, J.: PEST, Model-independent parameter estimation – User manual (5th Ed., with slight additions). Brisbane, Australia, Watermark Numerical Computing, 2010Google Scholar
  11. El-Zehairy AA, Lubczynski MW, Gurwin J (2018) Interactions of artificial lakes with groundwater applying an integrated MODFLOW solution. Hydrogeol J 26(1):109–132CrossRefGoogle Scholar
  12. Fetter, C. W. (2018). Applied hydrogeology. Waveland PressGoogle Scholar
  13. Ghorbani K, Salarijazi M, Abdolhosseini M, Eslamian S, Ahmadianfar I (2019) Evaluation of Clark IUH in rainfall-runoff modelling (case study: Amameh Basin). Int J Hydrol Sci Technol 9(2):137–153CrossRefGoogle Scholar
  14. Gusyev MA, Toews M, Morgenstern U, Stewart M, White P, Daughney C, Hadfield J (2013) Calibration of a transient transport model to tritium data in streams and simulation of groundwater ages in the western Lake Taupo catchment, New Zealand. Hydrol Earth Syst Sci 17(3):1217–1227CrossRefGoogle Scholar
  15. Hughes JD, Langevin CD, White JT (2015) MODFLOW-based coupled surface water routing and groundwater-flow simulation. Groundwater 53(3):452–463CrossRefGoogle Scholar
  16. Kuntamalla, S., Sakram, G., Madhusudhan, N., & Srinivas, E. (2019). Estimating aquifer characteristics by conducting pumping tests: a GIS and remote sensing approach in south western part of Mahbubnagar District, Telangana State, India. In Proceedings of International Conference on Remote Sensing for Disaster Management (pp. 599–612). Springer, ChamGoogle Scholar
  17. Lin F, Chen X, Yao H (2017) Evaluating the use of Nash-Sutcliffe efficiency coefficient in goodness-of-fit measures for daily runoff simulation with SWAT. J Hydrol Eng 22(11):05017023CrossRefGoogle Scholar
  18. Lu C, Qin W, Zhao G, Zhang Y, Wang W (2017) Better-fitted probability of hydraulic conductivity for a silty clay site and its effects on solute transport. Water 9(7):466CrossRefGoogle Scholar
  19. Luan, X. B. (2018). Supplement of an improved method for calculating the regional crop water footprint based on a hydrological process analysisGoogle Scholar
  20. Ma R, Shi J, Shi X (2017) Spatial variation of hydraulic conductivity categories in a highly heterogeneous aquifer: a case study in the North China Plain (NCP). J Earth Sci 28(1):113–123CrossRefGoogle Scholar
  21. Meli’i JL, Fangang VK, Fobissie BL, Assatse WT, Arétouyap Z, Yembe SJ, Nouck PN (2018) Hydraulic parameters in the neoproterozoic aquifer of Yaounde, Cameroon. Environ Earth Sci 77(6):236CrossRefGoogle Scholar
  22. Miller OL, Solomon DK, Miège C, Koenig LS, Forster RR, Montgomery LN et al (2017) Hydraulic conductivity of a firn aquifer in southeast Greenland. Front Earth Sci 5:38CrossRefGoogle Scholar
  23. More SB, Deka PC (2018) Estimation of saturated hydraulic conductivity using fuzzy neural network in a semi-arid basin scale for murum soils of India. ISH J Hydraul Eng 24(2):140–146CrossRefGoogle Scholar
  24. Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models part I—A discussion of principles. J Hydrol 10(3):282–290CrossRefGoogle Scholar
  25. Owamah HI, Ukala DC, Apkan E (2018) Assessment of some geotechnical properties of Nigerian coastal soil: a case-study of Port-Harcourt beach mud. J Appl Sci Environ Manag 22(2):228–233Google Scholar
  26. Oyeyemi KD, Aizebeokhai AP, Ndambuki JM, Sanuade OA, Olofinnade OM, Adagunodo TA, ... & Adeyemi GA. (2018) Estimation of aquifer hydraulic parameters from surficial geophysical methods: a case study of Ota, Southwestern Nigeria. In IOP Conference Series: Earth and Environmental Science (Vol. 173, No. 1, p. 012028). IOP PublishingGoogle Scholar
  27. Qadir A, Ahmad Z, Khan T, Zafar M, Qadir A, Murata M (2016) A spatio-temporal three-dimensional conceptualization and simulation of Dera Ismail Khan alluvial aquifer in visual MODFLOW: a case study from Pakistan. Arab J Geosci 9(2):149CrossRefGoogle Scholar
  28. Rawls WJ, Gimenez D, Grossman R (1998) Use of soil texture, bulk density, and slope of the water retention curve to predict saturated hydraulic conductivity. Transactions of the ASAE 41(4):983CrossRefGoogle Scholar
  29. Ren S, Gragg S, Zhang Y, Carr BJ, Yao G (2018) Borehole characterization of hydraulic properties and groundwater flow in a crystalline fractured aquifer of a headwater mountain watershed, Laramie Range, Wyoming. J Hydrol 561:780–795CrossRefGoogle Scholar
  30. Salarijazi M, Ghorbani K (2019) Improvement of the simple regression model for river’ EC estimation. Arab J Geosci 12(7):235CrossRefGoogle Scholar
  31. Senkondo W, Tuwa J, Koutsouris A, Lyon SW (2017) Estimating aquifer transmissivity using the recession-curve-displacement method in Tanzania’s Kilombero Valley. Water 9(12):948CrossRefGoogle Scholar
  32. Soupios PM, Kouli M, Vallianatos F, Vafidis A, Stavroulakis G (2007) Estimation of aquifer hydraulic parameters from surficial geophysical methods: a case study of Keritis Basin in Chania (Crete–Greece). J Hydrol 338(1–2):122–131CrossRefGoogle Scholar
  33. Sun K, Goltz MN (2016) Direct estimation of hydraulic parameters relating to steady state groundwater flow. Environ Model Softw 86:50–55CrossRefGoogle Scholar
  34. Sun X, Xiang Y, Shi Z (2018) Estimating the hydraulic parameters of a confined aquifer based on the response of groundwater levels to seismic Rayleigh waves. Geophys J Int 213(2):919–930CrossRefGoogle Scholar
  35. Tesfagiorgis K, Gebreyohannes T, De Smedt F, Moeyersons J, Hagos M, Nyssen J, Deckers J (2011) Evaluation of groundwater resources in the Geba basin, Ethiopia. Bull Eng Geol Environ 70(3):461–466CrossRefGoogle Scholar
  36. Todd DK, Mays LW (2004) Ground water hydrology, 3rd edn. John Wiley and Sons, Inc, New York, 656 pagesGoogle Scholar
  37. Xu X, Huang G, Qu Z (2009) Integrating MODFLOW and GIS technologies for assessing impacts of irrigation management and groundwater use in the Hetao Irrigation District, Yellow River basin. Science in China Series E: Technological Sciences 52(11):3257CrossRefGoogle Scholar
  38. Xu X, Huang G, Qu Z, Pereira LS (2011) Using MODFLOW and GIS to assess changes in groundwater dynamics in response to water saving measures in irrigation districts of the upper Yellow River basin. Water Resour Manag 25(8):2035–2059CrossRefGoogle Scholar
  39. Xu X, Huang G, Zhan H, Qu Z, Huang Q (2012) Integration of SWAP and MODFLOW-2000 for modeling groundwater dynamics in shallow water table areas. J Hydrol 412:170–181CrossRefGoogle Scholar
  40. Yu, C., Matray, J. M., Gonçalvès, J., Jaeggi, D., Gräsle, W., Wieczorek, K., ... & Sykes, E. (2018). Comparative study of methods to estimate hydraulic parameters in the hydraulically undisturbed Opalinus Clay (Switzerland). In Mont Terri Rock Laboratory, 20 Years (pp. 87–106). Birkhäuser, ChamGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Water Engineering, Faculty of Water and Soil EngineeringGorgan University of Agricultural Sciences and Natural ResourceGolestanIran
  2. 2.Abdol-Reza Kaboli Expert of HydrogeologyGolestan Regional Water CompanyGolestanIran

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