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The Application of Artificial Intelligence in Hydrology

This special issue belongs to the section “Hydrology“.

Special Issue Information

Dear Colleagues,

Over the last few decades, the use of artificial intelligence (AI) has experienced a high increase in a wide variety of research fields. This kind of models are characterized as powerful tools to obtain information which would otherwise be very complicated or impossible to get. AI models, together with the large amount of hydrologycal data currently available, provide the ideal conditions to create tools aimed at managing water supply, predicting flood and drought, monitoring water quality, optimizing irrigation schemes, managing dams, determining carbonate saturation, evaluating the sedimentation process, and modeling the contaminant transport, among others. All the AI models, from the simplest to the most complex, such as random forest or neural networks, therefore allow expanding the existing knowledge about the complex water system.

The aim of this Special Issue on “The Application of Artificial Intelligence in Hydrology” is to present the state-of-the-art related (but not limited) to the study of movements, distribution, and management of water in nature.

We invite authors to submit research articles, reviews, communications, and concept papers that demonstrate the high potential of artificial intelligence in the hydrological field.

Dr. Gonzalo Astray
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 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

  • Artificial intelligence
  • Machine learning
  • Big data/Cloud computing
  • Monitoring/Modelling/Prediction/Optimization
  • Flow prediction
  • Water quality
  • Water supply
  • Management
  • Risk assessment
  • Multidisciplinary research

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Water - ISSN 2073-4441