Statistical Methods and Hydroinformatics Applied in Water Resources

Dear Colleagues,

Implementation of statistical methods and soft computing techniques enables new possibilities in water resources management. Development of innovative and more efficient solutions based on application of hydroinformatic methods can lead to the achievement of sustainability of water-related goals in the changing environment. Thus, the importance of hydroinformatics as a scientific field that combines hydraulic and hydrologic knowledge is in solving a wider spectrum of various issues in water resources. 

The main purpose of this Special Issue is to compile a collection of selected original papers presenting the state-of-the-art research on statistical methods and hydroinformatics applied in water resources. We welcome contributions that emphasize and present the latest advances on issues, such as data-driven modelling, application of physically-based simulation methods, virtual and augmented reality, coupling and nesting of different models, development of models’ bridging interfaces (either with programming or with existing tools, e.g., GIS)  and smart water monitoring systems.

Dr. Charalampos Skoulikaris
Prof. Dr. Michael Tritthart
Dr. Milan Gocić
Guest Editors

Manuscript Submission Information

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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.