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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

Big Data and Cognitive Computing
Open Access
1,043 Articles
Launched in 2017
4.4Impact Factor
9.8CiteScore
24 DaysMedian Time to First Decision
Q1Highest JCR Category Ranking
Data
Open Access
1,236 Articles
Launched in 2016
2.0Impact Factor
5.0CiteScore
25 DaysMedian Time to First Decision
Q2Highest JCR Category Ranking
Environments
Open Access
1,797 Articles
Launched in 2014
3.7Impact Factor
5.7CiteScore
19 DaysMedian Time to First Decision
Q2Highest JCR Category Ranking
Geosciences
Open Access
3,948 Articles
Launched in 2011
2.1Impact Factor
5.1CiteScore
23 DaysMedian Time to First Decision
Q3Highest JCR Category Ranking
Remote Sensing
Open Access
39,760 Articles
Launched in 2009
4.1Impact Factor
8.6CiteScore
25 DaysMedian Time to First Decision
Q1Highest JCR Category Ranking

Published Papers