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A novel approach to determine hydraulic parameters of double porosity aquifers based on MLP neural network
Tahereh Azari,
Volume 19, Issue 1 (6-2025)
Abstract
Accurately determining hydraulic parameter values is the first step in sustainably developing an aquifer. Since Theis (1935) introduced the type curve matching technique (TCMT), it has been used to estimate aquifer parameters from pumping test data. However, the TCMT is subject to graphical error. To eliminate this error, a multi-layer perceptron (MLP) artificial neural network (ANN) was developed as an alternative to the conventional TCMT. This MLP ANN models the Bourdet-Gringaten well function to determine fractured double porosity aquifer parameters. The MLP model was developed using a four-step protocol and trained using the backpropagation method and the Levenberg-Marquardt optimization algorithm for the well function of double-porosity aquifers. Through a trial-and-error procedure and by applying principal component analysis (PCA) to the training input data, the optimal network structure with the topology [3×6×3] is determined. We evaluated the validity of the developed network with synthetic and real field data. The network receives pumping test data and provides the user with aquifer parameter values. This network provides an automatic, fast procedure for determining double-porosity aquifer parameters, eliminating the graphical errors inherent in the conventional TCMT.

The Necessity of Pumping Tests and Exploratory Well Drilling in Groundwater Baseline Studies: Challenges and Gaps in Iran
Kamal Ganjalipour, Majid Naeimi, Effat Zamani,
Volume 19, Issue 2 (10-2025)
Abstract
Exploratory studies and pumping tests are considered fundamental tools for understanding the hydrogeological behavior of aquifers. They play  a critical role in water resources modeling, planning, and governing water resources. This article aims to analyze the role of these studies within the water governance framework in Iran by examining the institutional, technical, and legal challenges in comparison with developed countries. The findings indicate that weak legal requirements, the absence of an integrated data acquisition system, limited equipment, and a shortage of exploratory wells have led to reduced accuracy in baseline studies, weakened numerical models, and unstable decision-making. Additionally, the paper reviews the historical development of exploratory drilling and pumping tests, along with their tools and objectives, emphasizing the role of exploratory wells in developing conceptual models and monitoring aquifer dynamics under declining water table conditions. In conclusion, the article highlights the need to revise policymaking, strengthen institutional structures, and mandate the implementation of precise tests to achieve evidence-based water governance.

Hydrochemical characterization and health risk assessment of groundwater contamination in birjand plain, eastern iran
Ms Haniye Yaghoubi, Dr. Reza Jahanshahi, Dr. Morteza Mozafari,
Volume 19, Issue 6 (12-2025)
Abstract
This study examines the hydrochemistry and contamination levels of groundwater resources in the urban area of Birjand in eastern Iran. Water quality was assessed and pollution sources were identified through sampling 22 wells, 12 qanats and 4 springs. The results showed that electrical conductivity varied from 300 to 8,000 µS/cm, while pH ranged from 7.23 to 8.71. According to the Piper diagram, the dominant hydrochemical facies were chloride, sulphate and bicarbonate types. In some of the samples, the nitrate concentration exceeded the permissible limit of 50 mg/L set by the World Health Organization, indicating the influence of urban wastewater and agricultural effluents. The ionic ratios reveal the influence of halite and gypsum dissolution processes, as well as ion exchange reactions, on the chemical composition of the water. A health risk assessment showed that, while most sources are within the safe range for adults, some wells and qanats pose a higher risk to infants and children. This study aims to provide a scientific framework for understanding the geochemical processes that control water quality, and to identify high-risk areas for the sustainable planning and management of groundwater resources in the Birjand plain.

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