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: Mingqian Li, He Wang, Hongbiao Gu, Baoming Chi
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Desalination and Water Treatment
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Online Access:http://www.sciencedirect.com/science/article/pii/S1944398625000566
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author Mingqian Li
He Wang
Hongbiao Gu
Baoming Chi
author_facet Mingqian Li
He Wang
Hongbiao Gu
Baoming Chi
author_sort Mingqian Li
collection DOAJ
description 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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spelling doaj-art-d101353819434d4ebfaf0d62991fc8442025-02-09T05:00:00ZengElsevierDesalination and Water Treatment1944-39862025-01-01321101040Weighted joint curve inversion of aquifer parameters in pumping tests with multiple observation wellsMingqian Li0He Wang1Hongbiao Gu2Baoming Chi3School of Ecology and Environment, Institute of Disaster Prevention, Langfang, Heibei, China; Hebei Key Laboratory of Resource and Environmental Disaster Mechanism and Risk Monitoring, Sanhe 065201, ChinaSchool of Ecology and Environment, Institute of Disaster Prevention, Langfang, Heibei, China; Hebei Key Laboratory of Resource and Environmental Disaster Mechanism and Risk Monitoring, Sanhe 065201, China; Corresponding author at: School of Ecology and Environment, Institute of Disaster Prevention, Langfang, Heibei, China.College of transportation engineering, Nanjing Tech University, Nanjing, Jiangsu, ChinaSchool of Ecology and Environment, Institute of Disaster Prevention, Langfang, Heibei, China; Hebei Key Laboratory of Resource and Environmental Disaster Mechanism and Risk Monitoring, Sanhe 065201, ChinaAccurately 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.http://www.sciencedirect.com/science/article/pii/S1944398625000566InversionWeighted joint curve methodHydrologic parameterPumping testGroundwater
spellingShingle Mingqian Li
He Wang
Hongbiao Gu
Baoming Chi
Weighted joint curve inversion of aquifer parameters in pumping tests with multiple observation wells
Desalination and Water Treatment
Inversion
Weighted joint curve method
Hydrologic parameter
Pumping test
Groundwater
title Weighted joint curve inversion of aquifer parameters in pumping tests with multiple observation wells
title_full Weighted joint curve inversion of aquifer parameters in pumping tests with multiple observation wells
title_fullStr Weighted joint curve inversion of aquifer parameters in pumping tests with multiple observation wells
title_full_unstemmed Weighted joint curve inversion of aquifer parameters in pumping tests with multiple observation wells
title_short Weighted joint curve inversion of aquifer parameters in pumping tests with multiple observation wells
title_sort weighted joint curve inversion of aquifer parameters in pumping tests with multiple observation wells
topic Inversion
Weighted joint curve method
Hydrologic parameter
Pumping test
Groundwater
url http://www.sciencedirect.com/science/article/pii/S1944398625000566
work_keys_str_mv AT mingqianli weightedjointcurveinversionofaquiferparametersinpumpingtestswithmultipleobservationwells
AT hewang weightedjointcurveinversionofaquiferparametersinpumpingtestswithmultipleobservationwells
AT hongbiaogu weightedjointcurveinversionofaquiferparametersinpumpingtestswithmultipleobservationwells
AT baomingchi weightedjointcurveinversionofaquiferparametersinpumpingtestswithmultipleobservationwells