Recent Advances in Subsurface Flow and Solute Transport Modelling
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".
Deadline for manuscript submissions: 30 January 2025 | Viewed by 110
Special Issue Editors
Interests: surface-groundwater interaction; hydrologic modelling; water resources allocation; groundwater trend and attribution; decision support
Interests: hydrogeological processes; groundwater-surface water interactions; integrated groundwater-surface water modelling; groundwater recharge
Interests: hydrogeology; groundwater; soil and water pollution; reactive transport in groundwater; physical and chemical hydrogeology and heterogeneity; saltwater intrusion and subsurface dam; groundwater modeling; remediation of contaminated soils and groundwater
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With increasing global water resource demand, declining groundwater level, and worsening water quality, there is a critical need to better understand subsurface flow processes and solute transport to support decision-makers in water resource and nutrient management. To address these challenges, this speccial issue invite papers on studies of groundwater recharge, groundwater flow and solute transport, ranging from statistical and physically based models to innovative method such as chemical or isotope tracers and machine learning. We seek contributions that model or elucidate groundwater recharge, subsurface processes, solute transport, and their interaction with surface water and human activity, ultimately supporting the setting of groundwater abstraction limits and water allocation. Submit your research and help shape the future of water resource management.
In this Special Issue, we welcome submissions on the following thematic areas, among other possible topics:
- Using physically based groundwater models (e.g., MODFLOW) to simulate subsurface flow,
- Applying physically based subsurface solute transport models (e.g., MT3D-USGS) to simulate solute transport,
- Using statistical models (e.g., PASTAS) to study the subsurface flow and solute transport,
- Develoing or using machine learning methods to support decision-makers in water resource management,
- Using remote sensing data to quantify groundwater recharge or changes in groundwater storage,
- Utilising methods/technologies (e.g., stream depletion model) to support water allocation and limit setting,
- Employing chemical/iostope tracers to study water ages, transit time, age distribution etc.,
- Implementing innovative technologies to support model calibration and uncertainty analysis.
Dr. Jing Yang
Dr. Channa Rajanayaka
Prof. Dr. Kei Nakagawa
Prof. Dr. Ming Dou
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- groundwater
- solute transport
- machine learning technology
- statisical and physically based models
- water allocation
