Inventory and distribution feature of shallow landslides triggered by heavy rain event in Shaoguan, Guangdong Province in April 2024

This study addresses the extreme rainfall event in Shaoguan, Guangdong Province, in April 2024. Utilizing high-resolution remote sensing imagery before and after the rainfall, landslide boundary were delineated through visual interpretation and verified by field validation. A detailed landslide inventory of 6 310 shallow landslides was constructed. The spatial distribution, geometric characteristics, and controlling factors of these landslides were systematically analyzed. Key Results include: (1) Spatial Distribution: The landslides demonstrated significant spatial clustering, with high-density regions concentrated along a northeast-southwest axis. Most landslides were small-scale, ranging from 102 to 103m2. (2) Geometric Characteristics: The analysis revealed a strong correlation between landslide mobility, initiating elevation differences, and the aspect ratios. (3) Controlling Factors: Natural terrain factors such as elevation, slope gradient, aspect, and the topographic wetness index (TWI) significantly influenced landslide distribution and scale. Additionally, human activities and riverine dynamics also played critical roles in triggering these landslides. This study not only deepens the understanding of landslide mechanisms triggered by extreme rainfall, but also provides a scientific basis for regional landslide disaster prevention, mitigation, and early warning system development.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-04-01
DOI
https://doi.org/10.16031/j.cnki.issn.1003-8035.202412019
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
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article

Inventory and distribution feature of shallow landslides triggered by heavy rain event in Shaoguan, Guangdong Province in April 2024

SHILAP Revista de lepidopterología
Landslides and related hazards
article

Inventory and distribution feature of shallow landslides triggered by heavy rain event in Shaoguan, Guangdong Province in April 2024

article en

Abstract

This study addresses the extreme rainfall event in Shaoguan, Guangdong Province, in April 2024. Utilizing high-resolution remote sensing imagery before and after the rainfall, landslide boundary were delineated through visual interpretation and verified by field validation. A detailed landslide inventory of 6 310 shallow landslides was constructed. The spatial distribution, geometric characteristics, and controlling factors of these landslides were systematically analyzed. Key Results include: (1) Spatial Distribution: The landslides demonstrated significant spatial clustering, with high-density regions concentrated along a northeast-southwest axis. Most landslides were small-scale, ranging from 102 to 103m2. (2) Geometric Characteristics: The analysis revealed a strong correlation between landslide mobility, initiating elevation differences, and the aspect ratios. (3) Controlling Factors: Natural terrain factors such as elevation, slope gradient, aspect, and the topographic wetness index (TWI) significantly influenced landslide distribution and scale. Additionally, human activities and riverine dynamics also played critical roles in triggering these landslides. This study not only deepens the understanding of landslide mechanisms triggered by extreme rainfall, but also provides a scientific basis for regional landslide disaster prevention, mitigation, and early warning system development.

SHILAP Revista de lepidopterología
State Grid Corporation of China (China) (CN), National Institute of Disaster Management (IN), University of Chinese Academy of Sciences (CN)
Climate action
Openalex Percentile: Top 44%
Landslides and related hazards
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