Special Issue "Hydrological and Environmental Modeling: from Observations to Predictions"
Deadline for manuscript submissions: closed (31 December 2019).
Interests: hydrological and environmental modelling, ecohydrology, flood forecasting systems, flood hazard and risk, flood frequency analysis, soil erosion and sediment yield
Interests: stochastic processes; hydrological modelling; model calibration; flood risk; geomorphology; ecohydrology; UAS monitoring
Special Issues and Collections in MDPI journals
Special Issue in Water: Impact of Climate on Hydrological Extremes
Special Issue in Remote Sensing: Global Gridded Soil Information Based on Machine Learning
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 Issues and Collections in MDPI journals
Special Issue in Remote Sensing: Assessment of Quality and Usability of Climate Data Records
Special Issue in Remote Sensing: Progress on the Use of UAS Techniques for Environmental Monitoring
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
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 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.
- hydrological and environmental modelling
- multi-objective model calibration
- spatial information
- remote sensing
- satellite observations
- model performance metrics
- up-scaling and down-scaling
- model uncertainty