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Mechanisms, Intelligent Recognition, Monitoring and Prevention of Loess Disasters

Guest Editors:
Prof. Ling XU: Xi’an Jiaotong University, Xi’an, China
Prof. Xinghua ZHU: Chang’an University, Xi’an, China
Associate Prof. Xin WEI: Xi’an Jiaotong University, Xi’an, China

Submission Status: Open   |   Submission Deadline: 31 December 2023

Geoenvironmental Disasters is calling for submissions to our Collection on Mechanisms, Intelligent Recognition, Monitoring and Prevention of Loess Disasters. Due to the special properties of loess, such as structure, water sensitivity and collapsibility, loess is easy to induce geological disasters. Therefore, there is an urgent need for interpreting the triggering mechanisms of loess disasters. The effective monitoring and prevention of loess disasters can significantly reduce the economic and social damage. Herin, aiming at revealing the mechanisms and prevention of loess disasters, this theme focusing on the directions of “Mechanisms, Intelligent Recognition, Monitoring and Prevention of Loess Disasters”.

About the collection

Intelligent recognition and monitoring of loess disasters involve the application of some concepts or models to seek reasonable and effective recommendations for disaster prevention. By coordinating the relationship between human activities and loess disasters, mechanisms, intelligent recognition, monitoring and prevention of geohazard has become an integral component of social development, as well as an important guarantee for reducing loss of life or injury, social economy and environmental losses caused by loess disasters.

Potential topics in this special issue include but are not limited to the following:

• Investigation of loess disasters
• Mechanisms of loess disasters
• Artificial intelligence of loess disasters
• Intelligent recognition of loess disasters
• New technologies in loess disasters research
• Prevention and monitoring of loess disasters 
• Climate change and loess disasters

There are currently no articles in this collection.

Submission Guidelines

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This Collection welcomes submission of Research Articles. Before submitting your manuscript, please ensure you have read our submission guidelines. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "Mechanisms, Intelligent Recognition, Monitoring and Prevention of Loess Disasters" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Guest Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Guest Editors have competing interests is handled by another Editorial Board Member who has no competing interests.