闽粤赣边区“6·16”强降雨诱发群发滑坡特征与驱动因素

冯文凯; 赵家琛; 易小宇; 郭朝旭; 李双权; 唐雪峰; 赵艳龙; 丁治文

doi:10.3799/dqkx.2025.087

Volume 50 Issue 10

Oct. 2025

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Article Navigation > Earth Science > 2025 > 50(10): 4111-4124

Feng Wenkai, Zhao Jiachen, Yi Xiaoyu, Guo Chaoxu, Li Shuangquan, Tang Xuefeng, Zhao Yanlong, Ding Zhiwen, 2025. Characteristics and Drivers of Clustered Landslides Induced by Extreme Rainstorm on June 16 in Fujian-Guangdong-Jiangxi Junction Area. Earth Science, 50(10): 4111-4124. doi: 10.3799/dqkx.2025.087

Citation:

Feng Wenkai, Zhao Jiachen, Yi Xiaoyu, Guo Chaoxu, Li Shuangquan, Tang Xuefeng, Zhao Yanlong, Ding Zhiwen, 2025. Characteristics and Drivers of Clustered Landslides Induced by Extreme Rainstorm on June 16 in Fujian-Guangdong-Jiangxi Junction Area. Earth Science, 50(10): 4111-4124. doi: 10.3799/dqkx.2025.087

Citation:

Feng Wenkai, Zhao Jiachen, Yi Xiaoyu, Guo Chaoxu, Li Shuangquan, Tang Xuefeng, Zhao Yanlong, Ding Zhiwen, 2025. Characteristics and Drivers of Clustered Landslides Induced by Extreme Rainstorm on June 16 in Fujian-Guangdong-Jiangxi Junction Area. Earth Science, 50(10): 4111-4124. doi: 10.3799/dqkx.2025.087

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Characteristics and Drivers of Clustered Landslides Induced by Extreme Rainstorm on June 16 in Fujian-Guangdong-Jiangxi Junction Area

doi: 10.3799/dqkx.2025.087

Feng Wenkai^{1, 2
,
,},
Zhao Jiachen²,
Yi Xiaoyu^{1, 2
,
,
,},
Guo Chaoxu^{3, 4},
Li Shuangquan²,
Tang Xuefeng^{2, 3, 4},
Zhao Yanlong²,
Ding Zhiwen²

1.
State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China
2.
College of Environment and Civil Engineering, Chengdu University of Technology, Chengdu 610059, China
3.
Key Laboratory of Geohazard Prevention of Hilly Mountains, Ministry of Natural Resources of China, Fuzhou 350002, China
4.
Key Laboratory of Geological Hazards of Fujian Province, Fuzhou 350002, China

Received Date: 2025-01-13
Publish Date: 2025-10-25

Abstract

Abstract

On June 16, 2024, an extreme rainfall event occurred in the Fujian-Guangdong-Jiangxi junction area, triggering tens of thousands of landslides and causing significant casualties and property losses. This study aims to rapidly identify the characteristics and driving factors of landslides to provide data support for disaster forecasting, early warning, and risk management. Post-disaster optical imagery was used for intelligent landslide identification, supplemented by on-site validation, to analyze the spatial distribution and developmental characteristics of the landslides. The study further investigated the driving factors by integrating the meteorological, ecological factors, geological conditions topographic features. The results reveal a total of 35 407 landslides, covering an area of approximately 41.27 km², predominantly small-scale and concentrated in mountainous areas where rainfall exceeded 250 mm. Natural landslides exhibited relatively regular shapes and higher mobility, while landslides induced by engineering activities showed more complex shapes and lower mobility. The distribution of landslides was significantly influenced by the meteorological, ecological factors, geological conditions and topographic characteristics. Natural landslides were primarily controlled by topography, whereas engineering-induced landslides displayed greater randomness. This study deepens the understanding of the characteristics and driving mechanisms of clustered landslides, providing valuable scientific guidance for disaster prevention, mitigation, and relief efforts.
- extreme rainfall,
- clustered landslides,
- distribution pattern,
- geometric characteristics,
- driving factors,
- engineering geology

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References(37)

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Characteristics and Drivers of Clustered Landslides Induced by Extreme Rainstorm on June 16 in Fujian-Guangdong-Jiangxi Junction Area

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