Redirigiendo al acceso original de articulo en 17 segundos...
Inicio  /  Water  /  Vol: 15 Par: 6 (2023)  /  Artículo
ARTÍCULO
TITULO

Disaster Mechanism and Evolution Characteristics of Landslide?Debris-Flow Geohazard Chain Due to Strong Earthquake?A Case Study of Niumian Gully

Na He    
Xiangyang Qu    
Zhiquan Yang    
Linjuan Xu and Filip Gurkalo    

Resumen

Taking the Niumian Gully landslide?debris-flow geohazard chain as an example, we analyze the disaster mechanism of the landslide?debris-flow geohazard chain and its evolution process through field investigation as a reference for disaster prevention and risk reduction in areas with strong earthquakes by analyzing the accumulative sliding amount and the critical rainfall for debris flow formed by loose deposits. Due to the 8.0 Ms earthquake in Wenchuan, the cumulative sliding of the slope reached 230.51 m, much greater than the critical sliding in the Longmen Mountain earthquake area. Permanent damage to the slope occurred, resulting in a landslide, which provided the material source for the occurrence of debris flows. When the study area experienced concentrated rainfall (e.g., exceeding 10.31 mm/h or 54.67 mm/d), loose deposits in the basin began to form a debris flow, causing a landslide?debris-flow geohazard chain. During the evolution process of the geohazard chain, the following stages were observed: pre-earthquake gestation, landslide starting during a strong earthquake, landslide blocking a channel and forming a dammed lake, bursting of the dammed lake flood?debris-flow, sliding of loose deposits, and reciprocating loose-deposit sliding and debris flows. Thus, the formation of the Niumian Valley geohazard chain can be attributed to the combined result of strong earthquake activities and rainfall. In addition, under the action of rainfall, the occurrence of the debris flow and unstable sliding of loose deposits also caused the reciprocating occurrence of debris flows, loose-deposit sliding, and flood-induced debris flows in the study area.

 Artículos similares

       
 
Sasan Adibi    
This paper presents the mHealth Predictive Outbreak for COVID-19 (mPOC) framework, an autonomous platform based on wearable Internet of Medical Things (IoMT) devices for outbreak prediction and monitoring. It utilizes real-time physiological and environm... ver más
Revista: Future Internet

 
Hao Yang, Kai Bian, Tieji Wang, Zidong Jin, Bo Liu, Hui Sun and Junbin Chang    
In order to effectively prevent and control the problem of water inrush from the through-type fault floor, based on the analysis of the case data of water inrush from the fault structure in the Fengfeng mining area, the types of karst water inrush from t... ver más
Revista: Applied Sciences

 
Huajun Meng, Jihuan Wu, Chunshan Zhang and Kungang Wu    
Mine landslides are geological disasters with the highest frequency and cause the greatest harm worldwide. This typically causes significant casualties and damage to property. The study of the formation mechanisms and kinematic processes of mine landslid... ver más
Revista: Water

 
Qiang Lu, Yanchang Gu, Shijun Wang, Xiandong Liu and Hong Wang    
There are a large number of reservoir dams in China, of which embankment dams account for more than 90%, and public safety will be seriously endangered in case of dam failure. Overtopping is the leading cause of dam failure, and the existing research mai... ver más
Revista: Water

 
Mohammad Fikry Abdullah, Zurina Zainol, Siaw Yin Thian, Noor Hisham Ab Ghani, Azman Mat Jusoh, Mohd Zaki Mat Amin and Nur Aiza Mohamad    
The impact of Big Data (BD) creates challenges in selecting relevant and significant data to be used as criteria to facilitate flood management plans. Studies on macro domain criteria expand the criteria selection, which is important for assessment in al... ver más