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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
Ms. Soroor Mazrae Asl, Dr. Amir Saberinasr, Mr. Farzad Akbari, Mr. Babak Biglari,
Volume 0, Issue 0 (Accepted Articles 2025)
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.

Identification of potential areas for the construction of underground dams in the country
Dr Amir Saberinasr, Dr Majid Dashti Barmaki,
Volume 18, Issue 2 (9-2024)
Abstract
One of the strategies for water storage in arid and semi-arid areas such as Iran is the construction of underground dams; however, identifying suitable sites for the construction of these structures remains a major challenge. The aim of this paper is to identify the optimal locations for the construction of underground dams using a geographic information system and multi-criteria decision making techniques. Firstly, thematic maps were prepared in ArcGIS environment including geological condition, land use, landslide potential, topography, water stress, aquifer area and distance from dam, village, qanat, stream, fault, airport and road. Hierarchical analysis and fuzzy logic methods were used to weight the prepared maps. By removing unsuitable and restricted areas for the construction of underground dams, a final potential map for this structure was prepared. The results show that the provinces of Razavi and South Khorasan, Kerman, Yazd, Sistan and Baluchistan, Hamedan, Qazvin, Zanjan, Markazi and Qom have greater potential for the construction of underground dams than other provinces in the country. Finally, to validate the results, a comparison was made between the results presented in this study and several successful underground dam projects in the country, showing a relatively close match between the potential map and the implemented structures.

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