Soft Computing in Hydrology: Application of Machine Learning, Optimization Algorithms, and Data Mining
A special issue of Hydrology (ISSN 2306-5338).
Deadline for manuscript submissions: closed (2 January 2022) | Viewed by 7664
Special Issue Editor
Interests: surface water hydrology; snow hydrology; remote sensing; hydrological modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
In recent years, appropriate approaches such as soft computing have been widely used in many research areas and applications and it proved a suitable performance in environmental sciences such as hydrology and water resources management. Soft computing allows us to understand more about water resources management; However, soft computing approaches can give to researchers a new view for solving the challenges and overcoming the water resources management issues. In addition, the high capability of soft computing such as big data handling, handling the complexity of problems, high simulation speed, and high accuracy results can be used for future potential researches in hydrological studies. In this Special Issue editor would like to invite research works which incorporate soft computing techniques in hydrology and water resources management, such as (but not restricted to):
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Water resources management by soft computing approaches
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Hydrological modeling: application of soft computing
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Using optimization algorithms for water managing
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Data mining in hydrological studies
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Studying about irrigation efficiency by soft computing approaches
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Water management challenges: solutions by soft computing approaches
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Integrated time series analysis techniques for hydrological studies
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Improving precision of hydrologic models by soft computing approaches
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Decision making in water resources projects
Dr. Babak Mohammadi
Guest Editor
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. Hydrology is an international peer-reviewed open access monthly 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 1800 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
- Applied Artificial Intelligence
- Data Mining
- Hydrological Modeling
- Machine Learning
- Optimization Algorithm
- Time Series Analysis
- Water Resource Management
