Topic Editors
Database, Mechanism and Risk Assessment of Slope Geologic Hazards
Topic Information
Dear Colleagues,
The slope geo-disaster is a significant hazard in mountainous areas. With an extreme climate and tectonic events (i.e., rainfall, wildfire, earthquake, and snow or ice melting) becoming frequent, slope failures are becoming more and more common throughout the world. Landslides, debris flows, and avalanches are the three main sub-categories of slope instabilities. They cause serious casualties and economic loss by burying buildings and farmlands, blocking rivers, destroying roads and railways, and inducing fires. Thus, slope instability is the hot topic in earth science research. So far, the most effective way to explore the temporal and spatial distribution laws and cause mechanisms of slope failures has been based on disasters that have already happened. Though lots of related research has been published, it is necessary to keep our eyes on different kinds of slope failures in various places. This topic focuses on slope geo-disasters and collects articles on disaster detection and mapping, database compiling, cause mechanisms, susceptibility, and risk mapping. Topics of interest include, but are not limited to, the following:
- New techniques to detect slope instability (including landslides, debris flows, and avalanches);
- Database of slope instability hazards related to extreme events (e.g., rainfalls, earthquakes, or wildfires) or mountainous areas;
- Characteristics and mechanisms of slope instabilities;
- Numerical modeling and the whole life-circle analyses of large slope failure(s);
- Susceptibility mapping and risk assessment of slope failures;
- Post-failure evolution and prediction of slope geo-disasters temporally and spatially.
Prof. Dr. Chong Xu
Dr. Yingying Tian
Dr. Xiaoyi Shao
Dr. Zikang Xiao
Dr. Yulong Cui
Topic Editors
Keywords
- slope geo-disaster
- database
- mechanism
- susceptibility
- risk
- evolution
- prediction
- remote sensing
- GIS
- machine learning
Participating Journals
| Journal Name | Impact Factor | CiteScore | Launched Year | First Decision (median) | APC | |
|---|---|---|---|---|---|---|
Big Data and Cognitive Computing
|
3.7 | 7.1 | 2017 | 18 Days | CHF 1800 | Submit |
Data
|
2.2 | 4.3 | 2016 | 27.7 Days | CHF 1600 | Submit |
Environments
|
3.5 | 5.7 | 2014 | 25.7 Days | CHF 1800 | Submit |
Geosciences
|
2.4 | 5.3 | 2011 | 26.2 Days | CHF 1800 | Submit |
Remote Sensing
|
4.2 | 8.3 | 2009 | 24.7 Days | CHF 2700 | Submit |
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