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Intelligent Modelling for Hydrology and Water Resources
This special issue belongs to the section “Hydrology“.
Special Issue Information
Dear Colleagues,
In recent years, hydrology and water resources have been facing increasing scientific and technical problems under the impacts of climate changes and human activities. To guarantee the suitable operation and planning of water resources, it is important to develop more effective methods for hydrology and water resources problems. With the rapid development of information technologies, machine learning methods and artificial intelligence technologies are providing new possibilities for solving various engineering problems. Against this background, many scientists and engineers are working to develop novel methods that can help create reasonable scheduling schemes and policies for hydrology and water resources problems in the changing environment.
This Special Issue aims to provide an opportunity for scholars to share their latest research findings related to hydrology and water resources and other related topics. In this Special Issue, high-quality research papers concerning the following themes are invited, but not limited to:
- Watershed hydrological model;
- Hydrological process modeling;
- Flood warning and risk analysis;
- Hydrological forecasting and simulation;
- Extreme hydrological and climate events;
- Impact of climate changes on hydrological process;
- Smart water resources management and planning;
- Optimal reservoir(s) operation;
- Extreme hydro-meteorological events;
- Dynamical mechanisms associated with hydro-meteorological processes;
- New approaches/methods/models for hydrology and water resources;
- Relevant case studies and applications.
Prof. Dr. Wenchuan Wang
Prof. Dr. Zhongkai Feng
Dr. Mingwei Ma
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 250 words) can be sent to the Editorial Office for assessment.
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
- machine learning
- hydrological forecasting
- artificial intelligence
- water resources
- hydrological process
- uncertainty and risk
- optimal reservoir operation
- data-driven techniques
- optimization algorithm
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