Landslides Early Warning Technology
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".
Deadline for manuscript submissions: closed (30 June 2020) | Viewed by 8803
Special Issue Editor
Special Issue Information
Dear Colleagues,
In recent years, the occurrence frequency and intensity of extreme rainfall and severe earthquakes have increased as a result of climate change. This effect can change not only the occurrence pattern of landslide but also the frequency and scale of landslide. As the construction works in mountainous areas have been enlarged due to the expansion of urban areas with increasing population, the damage of lives and properties has rapidly increased. In particular, the landslides that occur in the city cause the most severe damage. To reduce the damage induced by landslides, a landslide early warning system which can provide reliable and accurate information should be established.
The main topic of this Special Issue is related to the cutting-edge technologies involved with providing early warnings for landslides. Many researchers have developed and suggested different landslide early warning tools based on various prediction methods. The data-driven method has been a preferable approach that generates statistical, probabilistic, or machine learning models on the basis of a lot of historical landslide data. Also, numerous studies have proposed physically-based approaches with the advanced computational techniques based on analytical and numerical explanations for the mechanism of landslide occurrences. Meanwhile, the advanced monitoring approach that uses either contact-sensing techniques with ground instrumentations or remote-sensing techniques such as LiDAR, GB-InSAR, digital photogrammetry, and so on is another vital research field of landslide early warnings.
The primary objective of this Special Issue is to showcase the advanced landslide early warning technologies used to minimize and reduce the damages and to introduce the landslide early warning system in each country. The research articles related to landslide early warning that explore the topic from various fields are welcome.
Dr. Young-Suk SongGuest Editor
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Keywords
- landslide
- early warning technology
- monitoring technology
- prediction model
- issue criteria
- rainfall
- earthquake
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