Special Issue "Anticipation of Flash Floods and Rainfall-Induced Hydro-Geomorphic Hazards"
Deadline for manuscript submissions: closed (20 September 2023) | Viewed by 2064
Interests: hydrology; flood modeling; RS/GIS applications; machine learning
Interests: watershed hydrology; flood modeling and forecasting; RS and GIS applications; soft computing techniques; machine learning algorithms
Floods continue to be a major cause of natural disasters worldwide. Among these floods, flash floods develop very quickly and can cause significant damage. For example, in the conterminous United States alone, between 1996 and 2017, flashfloods occurred around 69 times every week on average, causing nuisance flooding, property damage and fatalities. Most of these flash floods occurred during summer time, with an average duration of 3.5 hours, and were less frequent in winter. Similar problems related to flash floods have also been observed in different parts of the world due to an increase in extreme climate events. Recent studies on these flash floods and their associated hydro-geomorphic hazards have highlighted the application of remote sensing techniques and GIS applications for early warning systems. With these continued advances and the availability of new computing architectures, integration with machine learning and artificial intelligence will likely result in newer high-fidelity predictive models.
This Special Issue aims to summarize the state-of-the-art techniques for the detection, prediction and modeling of flash floods and rainfall-induced hydro-geomorphic hazards such as landslides, and to identify the future strategies to improve hazard mitigation and management capabilities.
Articles may address, but are not limited to, the following topics:
- Machine learning applications for flash floods and rainfall-induced hazards;
- Flash floods and climate change;
- Flood susceptibility determination through RS/GIS;
- Flood risk assessment;
- Flash flood and food security;
- Flood forecasting;
- Soft computing applications in flood modeling and forecasts.
Dr. Alfred J. Kalyanapu
Dr. Venkata Reddy Keesara
Dr. Md Nowfel Mahmud Bhuyian
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 submissions that pass pre-check are 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. Remote Sensing is an international peer-reviewed open access semimonthly 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 2700 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.
- flood forecasting
- remote sensing applications
- machine learning techniques
- rainfall-induced floods
- flood risk management
- Google Earth Engine