Spatial estimation of aquifer’s hydraulic parameters by a combination of borehole data and inverse solution
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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.
KeywordsGroundwater 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.
- Ansarifar MM, Salarijazi M, Ghorbani K, Kaboli AR (2019) Simulation of groundwater level in a coastal aquifer. Mar Georesour Geotechnol:1–9Google Scholar
- Doherty, J.: PEST, Model-independent parameter estimation – User manual (5th Ed., with slight additions). Brisbane, Australia, Watermark Numerical Computing, 2010Google Scholar
- Fetter, C. W. (2018). Applied hydrogeology. Waveland PressGoogle Scholar
- 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
- Luan, X. B. (2018). Supplement of an improved method for calculating the regional crop water footprint based on a hydrological process analysisGoogle Scholar
- 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
- 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
- Todd DK, Mays LW (2004) Ground water hydrology, 3rd edn. John Wiley and Sons, Inc, New York, 656 pagesGoogle Scholar
- 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