Sustainable Groundwater Management and Mitigation of Land Subsidence: Evaluating Environmental Impacts and Resilience Strategies
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrogeology".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 373
Special Issue Editors
Interests: poroelastic mechanics; groundwater hydrology; earthquake hydrology; numerical modeling; land subsidence
Interests: multi-sensor monitoring system including InSAR, GNSS, spirit leveling, extensometer, multi-layer compaction monitoring well, groundwater monitoring well; Internet of Things (IoT)
Special Issue Information
Dear Colleagues,
The over-extraction of groundwater and its significant contribution to land subsidence have become global issues, particularly in delta regions with diverse hydrogeological conditions. Rapid urbanization and the intensification of agricultural activities have exacerbated the depletion of groundwater, leading to notable environmental and subsurface impacts, including land subsidence. The intricate relationship and mechanisms linking the over-extraction of groundwater with land subsidence are complex and call for an interdisciplinary approach to the development of sustainable management practices that reduce environmental impacts and enhance resilience.
This Special Issue aims to highlight recent scientific and technical advancements in understanding and addressing the complex interactions between groundwater over-extraction and land subsidence. We welcome contributions from researchers and practitioners that traverse fields such as groundwater hydrology, geology, geodesy, geotechnical and hydraulic engineering, and environmental science. This Special Issue will focus on the advancement of knowledge regarding the hydrogeological processes that affect groundwater flow and land stability, with innovative strategies for the monitoring, measurement, estimation, and sustainable management of groundwater and land use.
We especially welcome papers that propose novel approaches to effective groundwater management, introduce cutting-edge monitoring techniques, develop advanced modeling, and explore resilience-building strategies that counter land subsidence. We encourage geologists, hydrogeologists, hydrologists, geotechnical engineers, environmental scientists, and policymakers to contribute to this Special Issue in order to foster a comprehensive and multidisciplinary dialogue concerning these urgent environmental challenges.
The scope of this Special Issue includes, but is not limited to, the following topics:
- Mechanisms of Land Subsidence Triggered by Groundwater Over-Extraction
- Influence of Hydrogeological Conditions on Groundwater Flow and Land Subsidence
- Advanced Monitoring Techniques for Detecting Displacements in Complex Subsurface Environments
- Innovative Approaches to Characterize Subsurface Heterogeneity and Its Impact on Groundwater Dynamics
- Strategies for Sustainable Groundwater Management, Including Aquifer Recharge and Resilient Management Practices
- The Application of Remote Sensing and Geophysical Techniques for Subsurface Mapping and Land Subsidence Detection
- Numerical Modeling of Groundwater Flow and Land Subsidence in Coupled and Uncoupled Systems
- Impacts of Climate Change on Groundwater Systems and Land Subsidence
- Assessment of Self-Supplied Groundwater and Sanitation Systems: Evaluating Boreholes, Protected and Unprotected Dug Wells for Sustainable Groundwater Management and Land Subsidence Mitigation
- Evaluating the Socio-Economic Impacts of Groundwater Resource Utilization and Groundwater Quality
We look forward to receiving your contributions.
Dr. Shih-Jung Wang
Dr. Wei-Chia Hung
Guest Editors
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Keywords
- aquifer recharge strategies
- resilience in groundwater systems
- land use change and subsidence
- hydrogeological risk assessment
- ecohydrology and environmental impact
- adaptive water management
- remote sensing in groundwater monitoring
- groundwater quality degradation
- integrated water resource management
- hydrogeological simulation models
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