Recent Advances in Groundwater Resources Management for Sustainability
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Water Management".
Deadline for manuscript submissions: closed (18 January 2024) | Viewed by 3169
Special Issue Editors
Interests: climate change; water resources management; surface-groundwater interaction; hydrodynamic; numerical modelling; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: groundwater; hydrology; groundwater modelling; applied isotopes; seawater intrusion; environmental sustainability
Interests: hydrology; groundwater; machine learning; water resources management; climate change; GIS; remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: groundwater protection; hydrogeochemistry; groundwater modelling; groundwater-surface water interaction; water quality management; application of artifical recharge
Interests: hydrology; environmental engineering; civil engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Groundwater resource management plays an important role in water resource management, agricultural irrigation, ecological environment, and the socio-economic development of a region. Groundwater processes are influenced by complex weather and nonlinear infiltration mechanisms, which are difficult to model; thus, reliable groundwater modelling and forecasting remain a challenge. Recently, new technologies and methods have been employed in groundwater management, such as satellite remote sensing technology, big data mining technology, artificial intelligence, etc., to improve the quality of forecasting and simulation. In addition, the impact of climate change on groundwater in recent years is highly concerning. Advanced modelling techniques, including physical-based modelling and machine-learning-based modelling, may provide the necessary support for authorities, decision makers, and ordinary stakeholders. For this Special Issue, we invite contributions of original reviews and research focused on developing and improving groundwater modelling and investigating their applications in water resource management as well as the impacts of the changing climate on groundwater.
Research areas of interest include (but are not limited to) the following:
- Physically based and machine-learning-based groundwater modelling;
- Predicting and understanding groundwater resources;
- Hydrological and hydrodynamic modelling in groundwater;
- Surface and groundwater interaction modelling;
- Climate change impacts on groundwater and water resources;
- Machine learning and optimization algorithms in groundwater;
- Applications of new technology in groundwater;
- Remote sensing, machine learning, and GIS in groundwater.
We look forward to receiving your contributions.
Dr. Duong Tran Anh
Dr. Dang An Tran
Dr. Quoc Bao Pham
Dr. Ha Quang Khai
Prof. Dr. Francesco Granata
Guest Editors
Manuscript Submission Information
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Keywords
- groundwater
- climate change
- machine learning
- remote sensing
- GIS
- water resources
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