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Special Issue "Hydrological and Environmental Modeling: From Observations to Predictions"

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".

Deadline for manuscript submissions: 31 July 2019

Special Issue Editors

Guest Editor
Prof. Dr. Félix Francés

Research Institute of Water and Environmental Engineering, Universitat Politècnica de València, Spain
Website | E-Mail
Interests: hydrological and environmental modelling, ecohydrology, flood forecasting systems, flood hazard and risk, flood frequency analysis, soil erosion and sediment yield
Guest Editor
Prof. Dr. Salvatore Manfreda

Dipartimento delle Culture Europee e del Mediterraneo: Architettura, Ambiente, Patrimoni Culturali (DiCEM), Università degli Studi della Basilicata, Potenza, Italy
Website | E-Mail
Interests: stochastic processes, hydrological modelling, model calibration, flood risk, geomorphology, ecohydrology, UAS monitoring
Guest Editor
Prof. Dr. Zhongbo Su

University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), The Netherlands
Website | E-Mail
Interests: remote sensing and numerical modeling of land surface processes and interactions with the atmosphere, earth observation of water cycle and applications in climate, ecosystem and water resources studies

Special Issue Information

Dear Colleagues,

Mathematical modelling plays a central role in science, offering increasing predictive capabilities for several hydrological processes. Such reliability is strongly controlled by the tradeoff between model complexity and data availability. Therefore, there is a clear need to improve our monitoring systems to increase observations in space and time.

In operational hydrology, traditional observations (such as streamflow measurements, chemical or sediment concentration, and aquifer level) are often limited. However, there is an increasing availability of data provided by remote sensing observations from satellites and more recently from drones. Such systems are helping to achieve a better description of several state variables (e.g., river basin morphology, soil moisture, vegetation state, river stage, etc.) and improve our knowledge of the hydrological cycle. An increasing number of studies are trying to exploit such alternative forms of information to cope with the limited availability of traditional data.

Within this framework, this Special Issue focuses on the difficulties/methodologies/advances in the implementation of hydro-environmental models at different scales (from plot to continents) and on the understanding of the interactions between water, vegetation, sediments, and compounds (traditional as N or new as emerging pollutants), in both cases exploiting different sources of information. Within this context, we welcome contributions dealing with, but not limited to, the following topics:

  • The potential of remote sensing observations to improve our hydro-environmental knowledge;
  • The use of remote sensing observations for data assimilation and model calibration;
  • Model calibration using a combination of spatial and point observations with different characteristics (support, spacing, extension, and reliability);
  • Multi-objective calibration using different state variables;
  • Models up-scaling and down-scaling;
  • The definition of new model performance metrics and statistics;
  • Uncertainty propagation from observations to estimated parameters and/or model results.

Prof. Dr. Félix Francés
Prof. Dr. Salvatore Manfreda
Prof. Dr. Zhongbo Su
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 papers will be 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. Water 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 1600 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.


  • hydrological and environmental modelling
  • multi-objective model calibration
  • spatial information
  • remote sensing
  • satellite observations
  • UAV
  • model performance metrics
  • up-scaling and down-scaling
  • model uncertainty

Published Papers

This special issue is now open for submission, see below for planned papers.

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Planned paper from Prof. Ricardo Rigon, University of Trento

Planned paper from Prof. Nunzio Romano, University of Naples Federico II

Planned paper from Prof.  Eyal Ben Dor
Title: Soil Spectroscopy to Monitor the Interaction between Soil and Water
Abstact: Soil spectroscopy is a well established technology that enable quantitative assessment of soil attributes remotely. Over the past 25 years many studies demonstrated the potential of this technology from laboratory, field and airborne domains. To that end several soil properties that are controlling to soil physical and chemical behavior are well predicted solely from soil spectroscopy such as: clay content, sand content, water content and retention organic matter content, soil compaction, soil erosion, soil hydrophobicity and soil salinity. All these properties and other that can be derived from soil spectral measurements are affecting water-soil interaction (runoff, infiltration and water capacity). This paper will review the history and the rational of soil spectroscopy   and will provide a literature review on the soil- water interaction which can be assessed using soil spectroscopy. A special emphasis will be given to describe the new applications that were developed to be used in the field either from point and image measurements. Another important goal will be to describe how soil complexity is solved by soil spectroscopy using data mining and deep learning approach.

Planned paper from Dr. Zeng Yijian,  University of Twente

Planned paper from Prof. Fernando Nardi, University of Florence    

Planned paper from Dr. George P Petropoulos,  University of Aberystwyth
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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