|Table of Contents|

Spatial Distribution and Influencing Factors of Geohazards Induced by the 2022 Mw 6.6 Luding(Sichuan, China)Earthquake(PDF)

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

Issue:
2022年第06期
Page:
971-985
Research Field:
纪念刘国昌先生诞辰110周年专辑
Publishing date:

Info

Title:
Spatial Distribution and Influencing Factors of Geohazards Induced by the 2022 Mw 6.6 Luding(Sichuan, China)Earthquake
Author(s):
CHEN Bo1; 2;  LI Zhen-hong1; 2; 3; 4*;  HUANG Wu-biao1; 2;  LIU Zhen-jiang1; 2;  ZHANG Cheng-long; 2;  DU Jian-tao1; 2;  SONG Chuang1; 2;  DING Ming-tao1; 2; 3;  ZHU Wu1; 2; 3; 4;  ZHANG Shuang-cheng1; 2; 3; 4;  WANG Jian-wei5; 6;  PENG Jian-bing1; 3; 4
Keywords:
Luding earthquake;  coseismic landslide;  optical remote sensing;  InSAR;  visual interpretation;  landslide susceptibility;  spatial distribution;  influencing factor
PACS:
P23; P694
DOI:
10.19814/j.jese.2022.10012
Abstract:
On 5 September 2022, an Mw 6.6 earthquake struck Luding county, Sichuan province, China, which triggered a large number of geohazards such as landslides and collapses, leading to serious casualties and economic losses. Rapid access to landslide susceptibility and the actual distribution maps of coseismic landslides are critical for disaster management. In this study, we combined optical remote sensing image interpretation with the Generic Atmospheric Correction Online Service(GACOS)assisted InSAR stacking technique to map pre-event landslides, and then used the detected landslide dataset to generate a landslide susceptibility map in the earthquake-affected area using a machine learning algorithm. In addition, we used multi-source optical remote sensing images to establish an inventory of 2 692 coseismic landslides and analyze its relationships with topography, seismic and geological factors. Our results showed that 70.2% of the total coseismic landslide area(47 km2)were within the areas with moderate or higher susceptibility. These coseismic landslides were mainly distributed in elevations of 1 200-2 400 m, with slopes of 35°-50°, 4-20 km from the epicenter, within 1 km of faults and with a lithology of sericites silt slate. The coseismic landslides also damaged at least 10.34 km of roads. It is believed that this research can provide data support for the assessment and prevention of geohazards in the earthquake-affected areas.

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Last Update: 2022-11-25