Engineering Geology

Engineering Geology

Reducing Uncertainty in Hydrodynamic Parameter Estimation of Heterogeneous Alluvial Aquifers through AHP-Based Integration of Pumping Tests, Geophysics, and Grain-Size Data: Insights from the Golgir Plain, Southwest Iran

Authors
1 Shahid Chamran University of Ahvaz
2 University of Shiraz
Abstract
Accurate estimation of hydrodynamic parameters in heterogeneous alluvial aquifers remains a major challenge in sustainable groundwater management, as different methods often yield inconsistent results across spatial scales. In this study, hydraulic conductivity, storage coefficient, and specific yield were estimated using pumping tests, geophysical surveys, and grain-size analysis. The results were integrated through a systematic framework based on the Analytical Hierarchy Process (AHP). Uncertainty was quantitatively assessed using the coefficient of variation (CV). Pumping test results indicated that hydraulic conductivity varies within a narrow range of 0.416–0.524 m/day, with a mean value of 0.475 m/day and a CV of approximately 8%, reflecting the high reliability and stability of this method. In contrast, the geophysical approach yielded a mean hydraulic conductivity of about 3.9 m/day with a CV of nearly 41%, highlighting the effects of spatial heterogeneity and uncertainties inherent in indirect estimation techniques. Grain-size analysis exhibited the highest variability, with hydraulic conductivity ranging from approximately 0.7 to 8 m/day and a CV exceeding 50%, indicating strong sensitivity to local-scale sedimentary characteristics. Integration of the three methods using AHP, assigning higher weight to pumping tests, moderate weight to grain-size analysis, and lower weight to geophysical data, effectively reduced method-dependent bias and produced spatially and physically consistent hydrodynamic parameter maps. The highest hydraulic conductivity and specific yield values were identified in the eastern and northeastern parts of the plain, while the lowest values occurred in the western and northwestern areas. The final integrated results indicate hydraulic conductivity and specific yield ranges of 0.49–1.01 m/day and 0.0039–0.045, respectively. The proposed integrative approach provides a practical and transferable framework for uncertainty management and informed decision-making in heterogeneous alluvial aquifers, particularly in arid and semi-arid regions.
Keywords

 Arulbalaji, P., Padmalal, D., Sreelash, K. (2019(. GIS and AHPTechniques Based Delineation of Groundwater Potential Zones: a case study from Southern Western Ghats. India. National Centre for Earth Science Studies, Thiruvananthapuram, Kerala, India.
 Alabi, A. A., Olatunji, O., & Adepelumi, A. A. (2024). Integrating grain-size analysis and geophysical data for hydraulic parameter estimation in heterogeneous aquifers. Environmental Earth Sciences, 83, 112.
 Antonakos, A & Lamberkis, N. (2000). Hydrodynamic Charavteristics and Nitrate Properties Propagation Sparta Aquifer. Wat. Res. Vol. 34, No. 16, pp. 3977-3986.
 Asghari Moghadam, A. (2010). Principles of Groundwater Identification. University of Tabriz Press, 1st ed., 339 p. (In Persian).
 Arulbalaji, P., Padmalal, D., Sreelash, K. (2019). GIS-based multi-criteria evaluation for identification of groundwater potential zones using AHP technique. Journal of Hydrology, 575, 970–989.
 Bashandy, A. M., Bekhit, H. M., & Radwan, H. G. (2024). Uncertainty assessment of aquifer hydraulic parameters from pumping test data. Applied Water Science, 14, 84.
 Boadu, F. K. (2021). Hydraulic conductivity estimation from grain-size distribution: Limitations and scale effects in heterogeneous aquifers. Journal of Hydrology, 603, 126980.
 Bouwer, H. (1978). Groundwater Hydrology. Hill Book Company, New Yorh.NY (in press, scheduled for 1978.
 Bouwer, H. and Rice, R. C. (1976). A slug test for determining hydraulic conductivity of unconfined aquifers with completely or partially penetrating wells. Water Resour.
 Ikard, S., Minsley, B. J., Rigby, J. R., & Kress, W. (2023). A model of transmissivity and hydraulic conductivity from electrical resistivity distribution derived from airborne electromagnetic surveys of the Mississippi River Valley Alluvial Aquifer, Midwest USA. Hydrogeology Journal.
 Khadri, A., Kalantari, N. (2019). Estimation of aquifer specific yield using different methods and assessment of extractable groundwater volume. Hydrogeology, Vol. 4, No. 2, Winter 2019, pp. 92–107. (In Persian).
 Khaledi Alamdari, M., Majnooni Haris, A., Fakheri Fard, A. (2022). Estimation of hydraulic conductivity and storage coefficient of the Shabestar Plain aquifer using a numerical model. Hydrogeology, Vol. 7, No. 1, Summer 2022. (In Persian).
 Khaledi, M., Majnooni Haris, A., Fakheri‑Fard, A. (2019). Determination of hydraulic conductivity based on corrected transmissivity and the effect of well density and groundwater overexploitation on the Shabestar Plain aquifer. Hydrogeology, Vol. 3, No. 2, Winter 2019. (In Persian).
 Kruseman, G. P., De Ridder, N. A., & Verweij, J. M. 1970. Analysis and evaluation of pumping test data. Vol. 11, p. 200. Wageningen, The Netherlands: International institute for land reclamation and improvement.
 Mazraehasl, S., Akbari, F., Irani‑Asl, A., Shafiei, L. (2024). Comparison of hydrodynamic coefficients of the Dalun‑Meydavood Plain using grain‑size analysis, geophysical methods, and pumping test. Engineering Geology Quarterly, Vol. 18, No. 1. (In Persian).
 McLaughlin, D., & Johnson, W. K. (1987). Comparison of three groundwater modeling studies. Journal of Water Resources Planning and Management, 113(3), 405-421.
 Mu, Y., Zhu, L., Shen, T., Zhang, M., & Zhao, Y. (2020). Influence of correlation scale errors on aquifer hydraulic conductivity inversion precision. Water Science and Engineering, 13(3), 243–252.
 Neuman, S.P. (2005). Trends, prospects and challenges in quantifying flow and transport through fractured rocks. Hydrogeol J 13, 124–147.
 Novinpour, A. A., Bagheri, Y., Nadiri, A. A., Naderi, K. (2019). Estimation of hydraulic conductivity of the Baruq aquifer using Sugeno and Mamdani fuzzy models. Hydrogeology, Vol. 3, No. 2, Winter 2019. (In Persian).
 Olabode, O.P., San, L.H. (2023). Analysis of soil electrical resistivity and hydraulic conductivity relationship for characterisation of lithology inducing slope instability in residual soil. Geo-Engineering 14, 7.
 Pechstein, A., & Copty, N. K. (2021). Interpretation of pumping tests in heterogeneous aquifers with constant head boundary. Ground Water, 59(4), 517–523.
 Saranya, T., & Saravanan, S. (2020). Groundwater potential zone mapping using analytical hierarchy process (AHP) and GIS. Modeling Earth Systems and Environment, 6, 1787–1802.
 Saranya, T., and Saravanan, S. (2020). Groundwater potential zone mapping using analytical hierarchy process (AHP) and GIS for Kancheepuram District, Tamilnadu, India. Modeling Earth Systems and Environment.
 Savita, RS., Mittal, HK., Satishkumar, U. (2018). Delineation of groundwater potential zones using remote sensing and GIS techniques in Kanakanala reservoir subwatershed, Karnataka. Int J Curr Microbiol Appl Sci 7:273–288.
 Taheri Tizro, A., Abedini, S., Kamali, M. (2017). Estimation of hydraulic parameters of aquifer layers using the geoelectrical method (Case study: Chahardouli Plain). Hydrogeology, Vol. 2, No. 1, Autumn 2017. (In Persian).
 Theis,C.V. (1935). The Relation between the Lowering of the Pizometric Surface and the Rate and
Duration of Discharge of a Well Using Groundwater Storage. Transactions, American Geophysical :union:, 68, 519–524.
 Todd, David K., Larry W. Mays. (2005). Groundwater hydrology. 3rd Edition, Jon Wiley & Sons, Publications, 146-448.
 Tork‑Qashqaei Nejad, S., Chitsazan, M., Mirzaei, Y. (2017). Estimation of aquifer hydrodynamic parameters using geoelectrical studies (Case study: Golgir aquifer, Khuzestan). Hydrogeology, Vol. 1, No. 2, Winter 2017. (In Persian).
 Zhang, Y., Liu, J., & Chen, X. (2022). Evaluating grain-size–based hydraulic conductivity estimates in alluvial aquifers with strong heterogeneity. Hydrogeology Journal, 30(4), 1273–1288.

Articles in Press, Accepted Manuscript
Available Online from 22 December 2025