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[期刊论文]

Review of failure mechanism and early warning model of landslides induced by typhoon and associated rainstorm in high vegetation coverage area; [高植被覆盖区台风暴雨型滑坡成灾机制及 预警模型研究综述]

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author:

Dou, H. (Dou, H..) [1] (Scholars:豆红强) | Jian, W. (Jian, W..) [2] (Scholars:简文彬) | Wang, H. (Wang, H..) [3] (Scholars:王浩) | Unfold

Indexed by:

Scopus PKU CSCD

Abstract:

Landslides induced by typhoon and associated rainstorm in high vegetation coverage area have remarkable characteristics of mass, sudden and high hiddenness. Given the increasing demand for disaster prevention and mitigation, how to scientifically reveal their failure mechanisms and construct intelligent early warning models is becoming a hot and cutting-edge problem in current research. Firstly, the paper takes the frequent occurrence of landslides induced by typhoon and associated rainstorm in Zhejiang and Fujian provinces as an example, and systematically summarizes their geomorphological, spatial and temporal distribution and overlying vegetation and other developmental characteristics. Secondly, the current status and shortcomings of the research on the mechanism of landslides induced by typhoon and associated rainstorm, and the influence of vegetation on slope stability and its early warning were highlighted and analyzed. On this basis, it is emphasized that there are still three problems that need to be solved in the current research on landslides induced by typhoon and associated rainstorm in high vegetation coverage area: 1) the hydrological dynamic response of vegetated slopes under the combined effect of typhoon and rainstorm is not sufficiently described; 2) the mechanism of disaster is still unclear and the methodology of landslide stability evaluation is lack of relevance; 3) there are few dynamic early warning models that take into account the coupling of multiple parameters, and the existing early warning models are insufficient to provide refined and accurate warnings for landslides induced by typhoon and associated rainstorm in high vegetation coverage area. Finally, it is suggested that future research should focus on the interaction between geology, vegetation and meteorology, and identify the environment and developmental patterns of landslides induced by typhoon and associated rainstorm in high vegetation coverage area, reveal the failure process and disaster mechanism, and establish a spatial and temporal early warning model for the whole process of typhoon and associated rainstorm. The paper aims to explore a new perspective and research idea for the study of landslide induced by typhoon and associated rainstorm, and to provide a scientific decision-making and technical support for the early warning and prevention and control of landslides induced by typhoon and associated rainstorm in high vegetation coverage area worldwide. © 2023 Science Press. All rights reserved.

Keyword:

disaster mechanism early warning high vegetation coverage landslide typhoon and rainstorm

Community:

  • [ 1 ] [Dou H.]Zijin School of Geology and Mining, Fuzhou University, Fuzhou, 350108, China
  • [ 2 ] [Dou H.]Fujian Key Laboratory of Geohazard Prevention, Fuzhou, 350002, China
  • [ 3 ] [Jian W.]Zijin School of Geology and Mining, Fuzhou University, Fuzhou, 350108, China
  • [ 4 ] [Jian W.]Fujian Key Laboratory of Geohazard Prevention, Fuzhou, 350002, China
  • [ 5 ] [Wang H.]Zijin School of Geology and Mining, Fuzhou University, Fuzhou, 350108, China
  • [ 6 ] [Wang H.]Fujian Key Laboratory of Geohazard Prevention, Fuzhou, 350002, China
  • [ 7 ] [Fan X.]Zijin School of Geology and Mining, Fuzhou University, Fuzhou, 350108, China
  • [ 8 ] [Fan X.]Fujian Key Laboratory of Geohazard Prevention, Fuzhou, 350002, China
  • [ 9 ] [Liu H.]Zijin School of Geology and Mining, Fuzhou University, Fuzhou, 350108, China
  • [ 10 ] [Liu H.]Fujian Key Laboratory of Geohazard Prevention, Fuzhou, 350002, China
  • [ 11 ] [Wu Z.]Zijin School of Geology and Mining, Fuzhou University, Fuzhou, 350108, China
  • [ 12 ] [Wu Z.]Fujian Key Laboratory of Geohazard Prevention, Fuzhou, 350002, China

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Source :

Journal of Natural Disasters

ISSN: 1004-4574

CN: 23-1324/X

Year: 2023

Issue: 2

Volume: 32

Page: 1-15

Cited Count:

WoS CC Cited Count: 0

30 Days PV: 2

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