Special Issue "Advances in Flood Early Warning: Ensemble Forecast, Information Dissemination and Decision-Support Systems"

A special issue of Hydrology (ISSN 2306-5338).

Deadline for manuscript submissions: 30 June 2019

Special Issue Editors

Guest Editor
Dr. Haiyun Shi

School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
Website | E-Mail
Interests: digital watershed and hydroinformatics; extreme hydrological events (floods and droughts) under climate change; sustainable development of water resources
Guest Editor
Dr. Erhu Du

School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
Website | E-Mail
Interests: agent-based models for water resources management; opinion dynamics and flood evacuation; machine learning in environmental data analysis
Guest Editor
Dr. Suning Liu

Department of Civil Engineering, The University of Hong Kong, Hong Kong 999077, China
E-Mail
Interests: groundwater-surface water interaction; large-scale water resource system optimization; water resources planning and management; Water resource economics and policy
Co-Guest Editor
Prof. Kwok-Wing Chau

Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hunghom, Kowloon, Hong Kong
Website | E-Mail
Phone: +(852) 2766 6014
Interests: artificial intelligence, hydrology, soft computing, water quality, meta-heuristic algorithm, hydrodynamic, rainfall, runoff

Special Issue Information

Dear Colleagues,

Floods are highly destructive, usually causing enormous losses to life and property. It is, therefore, important and necessary to develop effective flood early warning systems (e.g., numerical weather prediction) and disseminate the information to the public through various information sources (e.g., social media), to prevent or at least mitigate damage to lives and property. For flood early warning, qualitative and quantitative methods can be developed by taking advantage of state-of-the-art techniques. For instance, different temporal and spatial scales can be considered, both ground data and remote sensing data can be used as the input, and a service-oriented architecture can be proposed for efficient flood forecasting. In addition, a general opinion dynamics model can be developed to simulate how individuals update their flood hazard awareness. Such developments can offer new insights into modeling flood disasters, including facilitating more accurate forecasts, more efficient communication, and more timely evacuation.

This Special Issue aims to collect the latest methodological developments and applications in the field of flood early warning. Potential topics include, but are not limited to, the following:

  • Flood dynamics, mechanisms and processes
  • Development of methods for flood early warning, especially in ungauged basins
  • Improvement of flood forecasting and information dissemination using various information sources
  • New methods/techniques for flood risk analysis, vulnerability analysis and evacuation behavior
  • Empirical analysis of flood warnings and flood-mitigation practices during real-world flood events

Dr. Haiyun Shi
Dr. Erhu Du
Dr. Suning Liu
Prof. Kwok-wing Chau
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. 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.

Keywords

  • Flood early warning
  • Ensemble flood forecast
  • Numerical weather prediction
  • Service-oriented architecture
  • Social media
  • Individual behavior
  • Evacuation decisions

Published Papers

This special issue is now open for submission.
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