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 Authors: Zhao, Yuandi; Saadon, Azlinda; Abdullah, Jazuri; Amini Pishro, Ahad
Format: Article; Early Access
Language:English
Published: SPRINGER 2024
Subjects:
Online Access:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001177377200001
author Zhao
Yuandi; Saadon
Azlinda; Abdullah
Jazuri; Amini Pishro
Ahad
spellingShingle Zhao
Yuandi; Saadon
Azlinda; Abdullah
Jazuri; Amini Pishro
Ahad
Review of research on testing and models of the trigger mechanism of slope debris flows
Geology; Meteorology & Atmospheric Sciences; Water Resources
author_facet Zhao
Yuandi; Saadon
Azlinda; Abdullah
Jazuri; Amini Pishro
Ahad
author_sort Zhao
spelling Zhao, Yuandi; Saadon, Azlinda; Abdullah, Jazuri; Amini Pishro, Ahad
Review of research on testing and models of the trigger mechanism of slope debris flows
NATURAL HAZARDS
English
Article; Early Access
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.
SPRINGER
0921-030X
1573-0840
2024


10.1007/s11069-024-06478-4
Geology; Meteorology & Atmospheric Sciences; Water Resources

WOS:001177377200001
https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001177377200001
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
container_title NATURAL HAZARDS
language English
format Article; Early Access
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.
publisher SPRINGER
issn 0921-030X
1573-0840
publishDate 2024
container_volume
container_issue
doi_str_mv 10.1007/s11069-024-06478-4
topic Geology; Meteorology & Atmospheric Sciences; Water Resources
topic_facet Geology; Meteorology & Atmospheric Sciences; Water Resources
accesstype
id WOS:001177377200001
url https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001177377200001
record_format wos
collection Web of Science (WoS)
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