Modelling Flood Hazards and Management for Environmental Sustainability
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".
Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 4235
Special Issue Editors
Interests: remote sensing; hazard modeling; water resource management; climate change; land use change; geomorphology; soil water dynamics; extreme events (flood, landslide, drought); forest health and modeling
Interests: agriculture; climate change; land use/land cover change dynamics; remote sensing; soil moisture; water quality; hydrological modeling; water resource management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Floods are extreme and frequent types of natural hazards that cost human life and result in major economic losses. Flooding occurs when water cannot be stored or adjusted in a normal system of drainage. Floods are a threat to people, infrastructure, and settlements. The higher the risk of flooding is, the greater the amount of damage caused. Flooding can seriously damage a wide variety of aspects, including the economy, human life, transport, environment, and infrastructure. Over the last decade, floods have tended to occur on a very regular basis as environmental destruction, such as population growth, deforestation, and urbanization, has increased. Susceptibility to floods is a critical challenge to disaster preparedness and flood control approaches. The objective of this Special Issue of Water is to collect articles (original research articles, review articles, and case studies) to provide insight into the applications of remote sensing and remote sensing–GIS-based techniques for addressing critical flood hazard issues and their management, including assessment and modelling on a wide range of spatial and temporal scales.
This open-access Special Issue invites high-quality and innovative scientific articles, including innovative and cutting-edge research on the use of remote sensing techniques and data from any platform (ground sensing, satellite, aircraft, drones, etc.) to study critical water-related issues. Potential topics include but are not limited to the following:
- Water resource management;
- Sustainable water resource management;
- Deep learning application in water resources;
- Big data analytics in flood forecasting;
- Machine learning approaches for flood modeling;
- Impact of climate change on urban flood;
- Data driven approaches for flood mapping and modeling;
- Novel methods for improving flood research.
Dr. Subodh Ch Pal
Dr. Sudhir K. Singh
Guest Editors
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Keywords
- flood modeling
- urban flood
- flash flood forecasting
- quantitative precipitation estimation
- climate change
- data fusion
- data mining
- sensor networks
- hydrologic model
- hydraulic model
- machine learning
- GIS
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