Since the beginning of the 21st century, global environmental problems have become increasingly prominent, and extreme weather events have become more frequent. The irrational development and excessive construction of underground space have also led to various disasters, such as landslides, collapses, debris flows, and ground collapses. According to the data released in the National Geological Disaster Bulletin, 133899 geological disasters have occurred in China from 2009 to 2019, of which landslides accounted for 71%, collapses for 19%, and debris flows for 8%, and ground collapses for 2%. The number of casualties and economic losses caused by rock and soil disasters are the greatest in the world. Therefore, a good understanding of disaster-causing mechanisms of rock and soil has a strong theoretical and practical significance for the safe construction of diversified geotechnical projects.
Yet we are still facing the following challenges: (1) extant studies on the mechanisms of rock and soil disasters are not thorough enough, in particular the mechanisms and effects of various factors (e.g., local precipitation, earthquake, and topography) on rock and soil stability; (2) it is very difficult to predict the specific time at which rock and soil disasters occur and their ranges. In this regard, a variety of monitoring techniques and data analysis methods that take natural conditions and topography into account shall be employed to accurately predict the probability of rock and soil disasters and investigate their influencing factors; (3) there are many data-related issues when applying big data to disaster prevention and control, including the difficulty in data acquisition when encountering complex geological conditions, the accuracy of data analysis, and less data when calculating rock mass; and (4) theories and methods of risk assessment of rock and soil disasters have not yet formed certain discipline systems with comprehensive models.
This Research Topic aims to gather state-of-the-art Original Research, Review, and Technology and Code articles dedicated to mechanisms and early warning strategies of geotechnical disasters. Key themes include, but are not limited to:
• Formation mechanisms and influencing factors of typical geotechnical disasters worldwide in recent years
• Precursor identification of geological disasters under extreme weather events and earthquake conditions
• Impacts of human activities on rock and soil stability and associated evaluation methods
• Applications of novel monitoring technologies based on big data and informatization
• Development of early warning strategies and associated index system
• Risk assessment and stability evaluation methods of various geological disasters
Since the beginning of the 21st century, global environmental problems have become increasingly prominent, and extreme weather events have become more frequent. The irrational development and excessive construction of underground space have also led to various disasters, such as landslides, collapses, debris flows, and ground collapses. According to the data released in the National Geological Disaster Bulletin, 133899 geological disasters have occurred in China from 2009 to 2019, of which landslides accounted for 71%, collapses for 19%, and debris flows for 8%, and ground collapses for 2%. The number of casualties and economic losses caused by rock and soil disasters are the greatest in the world. Therefore, a good understanding of disaster-causing mechanisms of rock and soil has a strong theoretical and practical significance for the safe construction of diversified geotechnical projects.
Yet we are still facing the following challenges: (1) extant studies on the mechanisms of rock and soil disasters are not thorough enough, in particular the mechanisms and effects of various factors (e.g., local precipitation, earthquake, and topography) on rock and soil stability; (2) it is very difficult to predict the specific time at which rock and soil disasters occur and their ranges. In this regard, a variety of monitoring techniques and data analysis methods that take natural conditions and topography into account shall be employed to accurately predict the probability of rock and soil disasters and investigate their influencing factors; (3) there are many data-related issues when applying big data to disaster prevention and control, including the difficulty in data acquisition when encountering complex geological conditions, the accuracy of data analysis, and less data when calculating rock mass; and (4) theories and methods of risk assessment of rock and soil disasters have not yet formed certain discipline systems with comprehensive models.
This Research Topic aims to gather state-of-the-art Original Research, Review, and Technology and Code articles dedicated to mechanisms and early warning strategies of geotechnical disasters. Key themes include, but are not limited to:
• Formation mechanisms and influencing factors of typical geotechnical disasters worldwide in recent years
• Precursor identification of geological disasters under extreme weather events and earthquake conditions
• Impacts of human activities on rock and soil stability and associated evaluation methods
• Applications of novel monitoring technologies based on big data and informatization
• Development of early warning strategies and associated index system
• Risk assessment and stability evaluation methods of various geological disasters
