Hydrodynamic Characterization of Aquifers
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrogeology".
Deadline for manuscript submissions: 20 December 2024 | Viewed by 574
Special Issue Editors
Interests: aquifer characterization; hydraulic and heat tomography; numerical modelling; hydrogeological field investigation
Special Issues, Collections and Topics in MDPI journals
Interests: hydrogeophysical modeling and inversion; machine learning and data assimilation techniques for reservoir characterization; field hydraulic and tracer tests
Interests: transport in porous media; coupled processes; unsaturated soils; expansive geo-materials; numerical modeling; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Aquifer characterization is essential for many groundwater-related research and applications, such as groundwater resource management, groundwater remediation, and the utilization of shallow geothermal energy. Over recent decades, new techniques for both the numerical modeling and field investigation of hydrogeological parameters have progressed due to increased computational power and modern sensing technology. These techniques have enhanced the precision of aquifer characterization, providing more comprehensive hydrogeological property data and a better understanding of the hydrodynamic behaviors of groundwater systems.
This Special Issue aims to present advanced methods and techniques applied to hydrodynamic aquifer characterization. Developments in analytical solutions, numerical modeling, laboratory experiments, field investigations, and machine learning-based applications are the main components of this Special Issue. Research on these subjects helps to improve the understanding of hydrodynamic aquifer characteristics and thus the accuracy of calculations of groundwater flow and transport-related behaviors.
We encourage the submission of papers related to dynamic aquifer characterization, inverse problems in subsurface hydrology, hydraulics, thermal and solute tracer tomography, hydrogeophysics, numerical model development, field investigations and applications, aquifer heterogeneity at various scales, and multidisciplinary studies. We also welcome studies that incorporate advanced computational tools, such as machine learning algorithms and computer clusters, for calibrating big data obtained from field investigations or high-resolution laboratory experiments.
Prof. Dr. Rui Hu
Dr. Quan Liu
Dr. Reza Taherdangkoo
Guest Editors
Manuscript Submission Information
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Keywords
- aquifer characterization
- groundwater dynamics
- aquifer heterogeneity
- inverse problems
- numerical modeling
- tomographic method
- groundwater flow and transport
- groundwater remediation
- well and aquifer testing
- shallow geothermal energy
- machine learning methods
- data assimilation
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