Review of research on testing and models of the trigger mechanism of slope debris flows

Slope debris flow (SDF) is a common geological disaster with complex formation processes and strong destructive forces causing significant casualties and economic losses in mountainous areas worldwide. Experimental research and models of the trigger mechanism of SDF are the key scientific issues as...

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Published in:Natural Hazards
Main Author: Zhao Y.; Saadon A.; Abdullah J.; Amini Pishro A.
Format: Article
Language:English
Published: Springer Science and Business Media B.V. 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186944223&doi=10.1007%2fs11069-024-06478-4&partnerID=40&md5=6ddc00d27acebc9a2fc18220b4dccbd5
id 2-s2.0-85186944223
spelling 2-s2.0-85186944223
Zhao Y.; Saadon A.; Abdullah J.; Amini Pishro A.
Review of research on testing and models of the trigger mechanism of slope debris flows
2024
Natural Hazards
120
8
10.1007/s11069-024-06478-4
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186944223&doi=10.1007%2fs11069-024-06478-4&partnerID=40&md5=6ddc00d27acebc9a2fc18220b4dccbd5
Slope debris flow (SDF) is a common geological disaster with complex formation processes and strong destructive forces causing significant casualties and economic losses in mountainous areas worldwide. Experimental research and models of the trigger mechanism of SDF are the key scientific issues as they provide the basis for studying technologies for the prevention, mitigation, prediction, and forecasting of these disasters. This paper summarizes the methods of data collection, analysis, and status of recent experimental research on the trigger mechanism and models of SDF under the action of artificial rainfall. The main progress and theoretical achievements related to the SDF are discussed in terms of the experimental parameter settings, the mechanism of water–soil coupling action, and the start-up model of SDF. On this basis, the suggestions for experimental research on the mechanism and models of triggers for debris flows are proposed. First, future experiments on debris flow triggering should increase the similarities between rainfall patterns and loose soil characteristics. Second, the mechanism research of SDF is needed on the changes in the physical and mechanical characteristics of soil and the response to debris flow triggers under enhanced rainfall. Third, the parameters of the debris flow trigger model should be simplified, and the model’s applicability should be improved with artificial intelligence. Through these efforts, the debris flow trigger test under artificial rainfall should be developed and refined, and the microscopic and multi-factor correlations of water–soil coupling should be applied to reveal the debris flow trigger mechanism in greater detail and establish a more applicable model of debris flow triggering. © The Author(s), under exclusive licence to Springer Nature B.V. 2024.
Springer Science and Business Media B.V.
0921030X
English
Article

author Zhao Y.; Saadon A.; Abdullah J.; Amini Pishro A.
spellingShingle Zhao Y.; Saadon A.; Abdullah J.; Amini Pishro A.
Review of research on testing and models of the trigger mechanism of slope debris flows
author_facet Zhao Y.; Saadon A.; Abdullah J.; Amini Pishro A.
author_sort Zhao Y.; Saadon A.; Abdullah J.; Amini Pishro A.
title Review of research on testing and models of the trigger mechanism of slope debris flows
title_short Review of research on testing and models of the trigger mechanism of slope debris flows
title_full Review of research on testing and models of the trigger mechanism of slope debris flows
title_fullStr Review of research on testing and models of the trigger mechanism of slope debris flows
title_full_unstemmed Review of research on testing and models of the trigger mechanism of slope debris flows
title_sort Review of research on testing and models of the trigger mechanism of slope debris flows
publishDate 2024
container_title Natural Hazards
container_volume 120
container_issue 8
doi_str_mv 10.1007/s11069-024-06478-4
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186944223&doi=10.1007%2fs11069-024-06478-4&partnerID=40&md5=6ddc00d27acebc9a2fc18220b4dccbd5
description Slope debris flow (SDF) is a common geological disaster with complex formation processes and strong destructive forces causing significant casualties and economic losses in mountainous areas worldwide. Experimental research and models of the trigger mechanism of SDF are the key scientific issues as they provide the basis for studying technologies for the prevention, mitigation, prediction, and forecasting of these disasters. This paper summarizes the methods of data collection, analysis, and status of recent experimental research on the trigger mechanism and models of SDF under the action of artificial rainfall. The main progress and theoretical achievements related to the SDF are discussed in terms of the experimental parameter settings, the mechanism of water–soil coupling action, and the start-up model of SDF. On this basis, the suggestions for experimental research on the mechanism and models of triggers for debris flows are proposed. First, future experiments on debris flow triggering should increase the similarities between rainfall patterns and loose soil characteristics. Second, the mechanism research of SDF is needed on the changes in the physical and mechanical characteristics of soil and the response to debris flow triggers under enhanced rainfall. Third, the parameters of the debris flow trigger model should be simplified, and the model’s applicability should be improved with artificial intelligence. Through these efforts, the debris flow trigger test under artificial rainfall should be developed and refined, and the microscopic and multi-factor correlations of water–soil coupling should be applied to reveal the debris flow trigger mechanism in greater detail and establish a more applicable model of debris flow triggering. © The Author(s), under exclusive licence to Springer Nature B.V. 2024.
publisher Springer Science and Business Media B.V.
issn 0921030X
language English
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