Distribution characteristics and cumulative effects of landslides triggered by multiple moderate-magnitude earthquakes: a case study of the comprehensive seismic impact area in Yibin, Sichuan, China

Huang, Yuandong; Xu, Chong; He, Xiangli; Cheng, Jia; Huang, Yu; Wu, Lizhou; Xu, Xiwei

doi:10.1007/s10346-024-02351-4

Cited by 3 publications

References 75 publications

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Exploration of Landslide Geomorphology and Inventory Construction in Minhe County, Qinghai, China, Based on Google Earth Remote Sensing Imagery

Wang,

Xu,

2024

Transactions in GIS

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The upper reaches of the Yellow River, located at the northeastern edge of the Qinghai‐Tibet Plateau in China, are characterized by intense tectonic activity and widespread landslide geomorphology. Creating a detailed and objective map of landslide geomorphology in this region is crucial for understanding the development of landslides. However, the availability of high‐quality landslide inventories in this area is limited, hindering a comprehensive understanding of landslide development and scientific landslide disaster prevention efforts. This study utilized multi‐temporal high‐resolution remote sensing imagery provided by the Google Earth platform to conduct a thorough landslide geomorphology survey and inventory construction in Minhe County, located in the upper Yellow River. The results show that within the study area of 1890.82 km2, at least 5517 landslide geomorphologies were identified, covering an area of 434.43 km2, with landslide‐affected areas accounting for approximately 22.98% of the total area. The largest single landslide area is 1.62 × 106 m2, while the smallest single landslide area is 880.22 m2, with an average landslide area of 78743.04 m2. The highest landslide point density reached 11.5 km−2. More than 80% of the landslides were distributed in the townships of Qianhe, Zhongchuan, Guanting, and Bazhou. Landslides were predominantly distributed along the tributaries of the Huangshui and Yellow Rivers, with denser occurrences at river bends. In addition, some landslide geomorphologies are located in densely populated village areas, posing significant safety risks. These results provide valuable data support for further analysis of landslide spatial distribution in Minhe County, landslide risk assessment, and other related research.

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Exploration of Landslide Geomorphology and Inventory Construction in Minhe County, Qinghai, China, Based on Google Earth Remote Sensing Imagery

Wang,

Xu,

2024

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Development Characteristics of Coseismic Landslides Induced by the Jishishan Earthquake and Implications for Seismogenic Tectonics

Huang,

Xu,

et al. 2024

Preprint

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This study provides a comprehensive interpretation and analysis of landslides triggered by the 2023 Jishishan earthquake using remote sensing imagery and GIS technology. A total of 2,643 landslide vector polygons were obtained, and their spatial distribution, scale characteristics, and relationships with environmental factors were thoroughly investigated. The study reveals that the coseismic landslides are primarily concentrated in the hilly and plain areas of the eastern part of the study region. The landslides are predominantly of moderate scale. They are significantly distributed under the following conditions: elevations of 1700-2300 m, slopes of 20-40°, southeast and south aspect slopes, middle slope postion, Paleogene and Neogene stratum, transverse and incline slope structures, within 400 m of rivers, NDVI values of 0.2-0.6, and peak ground acceleration (PGA) of 0.45-0.6g. This study also discusses the seismogenic fault by integrating the aftershocks sequence distribution with existing research findings. The analysis suggests that the distribution characteristics of coseismic landslides support the hypothesis that the seismogenic fault of this earthquake is a NW-SE striking, NE-dipping thrust fault, exhibiting a pronounced "hanging wall effect." The conclusion provides significant insights into understanding the tectonic background of the Jishishan earthquake and the mechanisms underlying secondary hazards. This study not only enriches the database of coseismic landslides in Northwest China but also deepens the understanding of earthquake-triggered landslide mechanisms and their implications for seismogenic structures. It is of great significance for enhancing earthquake hazard risk assessment and emergency response capabilities.

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Establishing a Landslide Traces Inventory for the Baota District, Yan’an City, China, Using High-Resolution Satellite Images

Zhang,

Xu,

Meng

et al. 2024

Land

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The Baota District of Yan’an City, located in the Loess Plateau, is an important patriotic education base in China. The region’s fragile geological environment and frequent geological disasters pose significant threats to the production and livelihood of residents. Establishing a landslide traces inventory can provide crucial assistance for studying regional land disaster distribution patterns and implementing disaster prevention and mitigation measures. However, the Baota District has not yet established a comprehensive and detailed landslide traces inventory, resulting in a lack of clear understanding and comprehensive knowledge regarding the threats and impacts of landslide disasters in the area. Therefore, this study employed high-resolution satellite images, applying a human–computer interactive visual interpretation method in conjunction with field survey verifications, to develop the most detailed and comprehensive landslide traces inventory for the Baota District to date. The results indicate that within the 3556 km2 area of the Baota District, there are 73,324 landslide traces, with an average landslide density of 20.62 km-2 and a total landslide area of 769.12 km2, accounting for 21.63% of the total land area. These landslides are relatively evenly distributed throughout the district, with a higher concentration in the east compared to the west. Most of the landslides are small in size. This study can support disaster prevention and mitigation efforts in the Baota District and serve as a reference for establishing landslide inventories in other regions of the Loess Plateau.

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Distribution characteristics and cumulative effects of landslides triggered by multiple moderate-magnitude earthquakes: a case study of the comprehensive seismic impact area in Yibin, Sichuan, China

Cited by 3 publications

References 75 publications

Exploration of Landslide Geomorphology and Inventory Construction in Minhe County, Qinghai, China, Based on Google Earth Remote Sensing Imagery

Exploration of Landslide Geomorphology and Inventory Construction in Minhe County, Qinghai, China, Based on Google Earth Remote Sensing Imagery

Development Characteristics of Coseismic Landslides Induced by the Jishishan Earthquake and Implications for Seismogenic Tectonics

Establishing a Landslide Traces Inventory for the Baota District, Yan’an City, China, Using High-Resolution Satellite Images

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