Special Issue "Floods and Landslide Prediction"
A special issue of Hydrology (ISSN 2306-5338).
Deadline for manuscript submissions: closed (31 October 2016)
Dr. Luca Brocca
Research Institute for Geo-Hydrological Protection, National Research Council, Via della Madonna Alta 126, I-06128 Perugia, Italy
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Phone: +39 0755014418
Interests: use of remote sensing observations for hydrological applications; use of soil moisture observations for landslide prediction, erosion, numerical weather prediction; hydrologic and hydraulic modelling; real time flood forecasting; flooding risk analysis; flood frequency assessment (under climate change); optimization and management of hydro-meteorological networks
Dr. Mauro Rossi
Research Institute for Geo-Hydrological protection, National Research Council, Italy
Interests: natural hazard; hydrology; remote sensing; soil moisture; river discharge; climate change
Floods and landslides are among the most dangerous and costly of all natural disasters, with expectations to worsen in the future as a result to global temperatures increase and environmental changes. In developing countries, the situation is exacerbated to the lack of monitoring and warning systems and an effort is required to set up flood and landslide prediction systems to limit the vulnerability of certain regions and to mitigate the damage. The goal of many studies is to assist scientists, forecasters, practitioners and stakeholders in forecasting of these complex phenomena in order to protect individual and collective resources. Several qualitative and quantitative methods and techniques have been proposed covering different geographical environment and spatial scales. New algorithms and approaches have been developed to explore the use of ground data along with satellite sensors. Based on possible future scenarios of meteorological and hydrological variables such predictions may be used for operational use including uncertainty.
This Special Issue intends to collect studies addressing the prediction, in space and in time, of floods and landslides in order to improve the dissemination of advanced research. Of interest are contributions investigating theoretical aspects of floods and landslide prediction, including conceptual, mathematical, physical, statistical, numerical and computational problems. Additionally, applicative contributions are encouraged (early warning system) that demonstrate the potential to predict floods and landslides through new models, methodologies, and observations (e.g., remote sensing). Contributions will cover, but are not restricted to, the following topics:
- Development of tools for the identification, management and prediction of floods and/or landslides in gauged and ungauged basins;
- monitoring and modelling of the physical processes leading to floods and /or landslides occurrence;
- use of new observations (e.g. remote sensing, UAV) for floods and/or landslides prediction;
- improving floods and/or landslides prediction through data assimilation
Dr. Angelica Tarpanelli
Dr. Luca Brocca
Dr. Mauro Rossi
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. Hydrology is an international peer-reviewed open access quarterly 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 350 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.
- process understanding
- early warning system
- remote sensing
- data assimilation