Salinity Monitoring and Modelling at Different Scales
A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Soil-Sediment-Water Systems".
Deadline for manuscript submissions: 31 July 2024 | Viewed by 9598
Special Issue Editors
Interests: hydraulic properties; soil waterdynamics; soil salinity; pedotransfer functions
Interests: proximal soil sensing; near-surface geophysics; electromagnetic induction; ground-penetrating radar; precision agriculture
Interests: modeling soil water dynamics and solute transport in the vadose zone
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Under the current changing climate and agricultural intensification, agricultural management practices need to adapt to changing conditions and to increasing water scarcity issues. Soil salinization, which already widely affects many regions of the world with arid and semiarid climates, becomes a top priority of research as it not only leads to the degradation of soil functions but also to yield losses, farmer's income, eventual migration of populations, and ultimately social unrest.
Strategies to better tackle soil salinization problems are thus critical for supporting soil management and agricultural production. These strategies should be based on efficient monitoring programs capable of continuously evaluating the performance of the implemented management strategies.
Numerical modeling, as well as remote sensing, are two widely used examples that have served as the basis for the development of monitoring tools aimed at supporting soil management and mitigating soil salinization problems. Numerical modeling, either through simple water balance models or more complex transient-state, Richards-based models, is fundamental for data integration and processes interpretation to improve agricultural practices and the protection of soil resources. Non-invasive and inexpensive proximal and remote sensing data can also be used to rapidly monitor, model, and predict the spatial and temporal variations of soil physical, chemical and hydrological properties at different scales.
In this Special Issue, we are soliciting research or manuscripts advancing on soil salinity measurement, modeling of soil salinization processes through the use of numerical tools at different scales, modeling and mapping using proximal soil sensing and remote sensing sensors, and other upscaling procedures used for soil salinity assessment and management. This Special Issue aims to bring together researchers from around the world on the advances in soil salinity measurement, mapping and modeling using various proximal and remote sensing sensors and vadose zone modeling to help connect researchers working in a similar area to tackle the globally critical issue and enhance soil security.
Dr. Maria da Conceição Gonçalves
Dr. Mohammad Farzamian
Dr. Tiago Brito Ramos
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. Land is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- soil salinity
- soil hydraulic properties
- pedotransfer functions
- proximal soil sensing
- remote sensing
- electromagnetic induction
- digital soil mapping
- machine learning
- arid and semi-arid climate
- agricultural water management