Weighted joint curve inversion of aquifer parameters in pumping tests with multiple observation wells
Accurately calculating hydrogeological parameters is crucial for evaluating and managing groundwater resources. Pumping tests are the primary method for obtaining aquifer parameters, and their accuracy directly impacts the assessment of regional hydrogeological conditions, as well as the subsequent...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
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| Series: | Desalination and Water Treatment |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1944398625000566 |
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| Summary: | Accurately calculating hydrogeological parameters is crucial for evaluating and managing groundwater resources. Pumping tests are the primary method for obtaining aquifer parameters, and their accuracy directly impacts the assessment of regional hydrogeological conditions, as well as the subsequent development, utilization, protection, and management of groundwater. Traditional unsteady flow methods face limitations due to subjective influences and non-uniqueness in parameter determination, making aquifer parameters dependent on the estimation method and observation well locations. This poses a significant challenge for optimal parameter selection. A weighted joint curve method (WJCM) based on Theis equation and optimization theory, which simultaneously considers both the pumping and recovery stages of field tests. The WJCM can be applied to determine unique aquifer parameters in pumping tests involving multiple observation wells and can be implemented rapidly using Excel. Actual pumping test data in a confined aquifer were used to compare results obtained from the proposed method with those obtained from three traditional parameter estimation methods. The results indicate that the WJCM produces reliable results and unique parameters, is highly efficient, and is easily implemented. These findings have theoretical and practical implications for pumping test parameter inversion, relevant software development, and the evaluation and management of groundwater. |
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| ISSN: | 1944-3986 |