Engineering Geology

Engineering Geology

Estimation of transmissivity and hydraulic conductivity of the hashtgerd plain aquifer using step-drawdown test method via Aquifer Win 32 software

Authors
Kharazmi University
Abstract
Planning the management and optimized consumption of groundwater resources is a critical infrastructural necessity, as these resources supply a significant portion of the country's drinking water. A key component of this planning is accurately calculating the water balance, which requires determining the aquifer's hydrodynamic parameters, including transmissivity (T) and hydraulic conductivity (K). This study calculated these parameters using step-drawdown pumping test data from a single-well system across various locations in the 411-square-kilometer Hashtgerd Plain aquifer (an unconfined aquifer) with AquiferWin32 software. The results indicate that transmissivity is distributed unevenly across the plain. The lowest transmissivity values were observed in the southern (Kourosh Town) and southwestern (Najmabad) sectors, while the highest values were associated with the Kordan alluvial fan and its downstream lands. Based on these findings, maximum transmissivity was estimated at 3,682 square meters per day, with an average of 440 square meters per day. Hydraulic conductivity was determined by integrating saturated thickness data from geoelectrical studies with the previously calculated transmissivity values. The final results showed that hydraulic conductivity ranges from a minimum of 0.2 meters per day in the southern regions to a maximum of 9.7 meters per day in the central aquifer.
Keywords

Alborz Regional Water Company. (2019a). Database of groundwater studies and drilling logs for the Hashtgerd Plain. Bureau of Basic Water Resources Studies.
Alborz Regional Water Company. (2019b). Report on the water balance of resources and consumption in the Hashtgerd Plain (Statistical period 2017-2018). Bureau of Basic Water Resources Studies.
Azari, T., & Samani, N. (2018). Modeling the Neuman’s well function by an artificial neural network for the determination of unconfined aquifer parameters. Computational Geosciences, 22(4), 1135-1148.
Azari, T. (2025). A novel approach for determining hydraulic parameters of dual-porosity aquifers based on MLP neural network. Journal of Engineering Geology, 19(1), 136-158. (In Persian)
Chen, C., Tao, Q., Wen, Z., Wörman, A., & Jakada, H. (2022). Step-drawdown test for identifying aquifer and well loss parameters in a partially penetrating well with irregular (non-linear increasing) pumping rates. Journal of Hydrology, 614, 128652.
Chi, W. C., Yang, C. F., Wege, S., Lin, C. J., & Ke, C. C. (2024). Transient ground bulge derived from a dense broadband seismic array during an aquifer step-drawdown pumping test. Journal of Hydrology, 628, 130595.
Cooper Jr, H. H., & Jacob, C. E. (1946). A generalized graphical method for evaluating formation constants and summarizing well‐field history. Eos, Transactions American Geophysical Union, 27(4), 526-534.
Dashti, Z., Nakhaei, M., Vadiati, M., Karami, G. H., & Kisi, O. (2023). Estimation of unconfined aquifer transmissivity using a comparative study of machine learning models. Water Resources Management, 37(12), 4909-4931.
Eden, R. N., & Hazal, C. P. (1973). Computer and graphical analysis of variable discharge pumping test of wells. Institution of Engineers Australia, Civil Engineering Transactions, 5–10.
Karami, G. H. (2002). Assessment of heterogeneity and flow systems in karstic aquifers using pumping test data (Doctoral dissertation, University of Newcastle upon Tyne).
Karami, G. H. (2010). Assessment of pumping tests on Group 2 wells in Qom Province. Qom Regional Water Company. (In Persian)
Karami, G. H., & Younger, P. L. (2002). Analysing step-drawdown tests in heterogeneous aquifers. Quarterly journal of engineering geology and hydrogeology, 35(3), 295-303.
Kruseman, G. P., & de Ridder, N. A. (1994). Analysis and Evaluation of Pumping Test Data. International Institute for Land Reclamation and Improvement (ILRI), Publication 47.
Mawlood, K. D. (2019). Analyses of storage coefficient for a production well. ZANCO Journal of Pure and Applied Sciences, 31(4), 114–122.
Mazrae Asl, S., Akbari, F., Irani Asl, E., & Hosseini Shafiei, L. (2024). Comparison of hydrodynamic coefficients of Dalon-Meydavood plain by grain size analysis, geophysics and pumping test methods. Journal of Engineering Geology, 18(1), 25-44. (In Persian)
Moench, A. F. (1984). Double-porosity models for a fissured groundwater reservoir with fracture skin. Water Resources Research, 20(7), 831–846.
Nakhaei, M., & Hassan Nia, E. (2019). Estimation of hydrodynamic parameters in the unknown locations in Evan plain using fuzzy logic. Hydrogeology, 4(1), 1-13.
Sedaghat, M. (2008). Land and water resources (groundwater), Payame Noor University, Tehran.
Şen, Z. (2014). Practical and applied hydrogeology. Elsevier.
Sulistyo, T. (2018). Identification Aquifer Parameters Through Single Well Pumping Test Series At Pt. Kaltim Kariangau Terminal, Balikpapan, East Kalimantan. JUTEKS (Jurnal Teknik Sipil), 3(2), 293-300.
Theis, C. V. (1935). The relation between the lowering of the piezometric surface and the rate and duration of discharge of a well using ground‐water storage. Eos, Transactions American Geophysical Union, 16(2), 519-524.
Tizro, T. A., Voudouris, K. S., & Kamali, M. (2014). Comparative study of step drawdown and constant discharge tests to determine the aquifer transmissivity: the Kangavar aquifer case study, Iran. Journal of Water Resource and Hydraulic Engineering, 3(1), 12-21.
Todd, D. K. (1980). Groundwater Hydrology (2nd ed.). John Wiley and Sons, New York.
Toossab Consulting Engineers Company. (2022). Report on geophysical studies of the Hashtgerd Plain.
Walton, W. C. (1987). Groundwater pumping test. Lewis Publishers, Inc., USA.