Study on the rainfall threshold for rainfall-induced landslides in Nanjiang County, Sichuan Province

SONG Zhongyou; CHI Keqiang; LUO Gang; CHEN Yu; YONG Ping; GAO Pan; YAN Fabin; ZHANG Rui

doi:10.16031/j.cnki.issn.1003-8035.202410003

2025 Vol. 36, No. 5

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SONG Zhongyou, CHI Keqiang, LUO Gang, CHEN Yu, YONG Ping, GAO Pan, YAN Fabin, ZHANG Rui. Study on the rainfall threshold for rainfall-induced landslides in Nanjiang County, Sichuan Province[J]. The Chinese Journal of Geological Hazard and Control, 2025, 36(5): 45-55. doi: 10.16031/j.cnki.issn.1003-8035.202410003

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SONG Zhongyou, CHI Keqiang, LUO Gang, CHEN Yu, YONG Ping, GAO Pan, YAN Fabin, ZHANG Rui. Study on the rainfall threshold for rainfall-induced landslides in Nanjiang County, Sichuan Province[J]. The Chinese Journal of Geological Hazard and Control, 2025, 36(5): 45-55. doi: 10.16031/j.cnki.issn.1003-8035.202410003

Study on the rainfall threshold for rainfall-induced landslides in Nanjiang County, Sichuan Province

1.
Sichuan Geology and Mineral Bureau Regional Geological Survey Team, Chengdu, Sichuan　610213, China
2.
Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, Sichuan　610031, China
3.
Sichuan Province Engineering Technology Research Center of Ecological Mitigation of Geohazards in Qinghai-Xizang Plateau Transportation Corridors, Chengdu, Sichuan　611756, China

More Information

Corresponding author: LUO Gang, luogang@home.swjtu.edu.cn

Received Date: 08 October 2024

Revised Date: 18 February 2025

Accepted Date: 14 May 2025

Publish Date: 25 October 2025

Abstract

Abstract

Nanjiang County is located in the red bed regions of the mountainous and hilly region of eastern Sichuan Province, where rainfall-induced landslides frequently occur during the rainy season. This study constructed a database of 82 landslide events from 2016 to 2021. Using rainfall data from the gauges closest to each landslide, four key variables were calculated: cumulative rainfall amount (E), rainfall duration (D), average rainfall intensity (I), and antecedent cumulative rainfall amount (A). To analyze the influence of current rainfall, scatter plots of I-D (intensity-duration), E-D (cumulative rainfall-duration), and E-I (cumulative rainfall-intensity) were generated. For the combined effect of antecedent rainfall (preceding a given period) and current rainfall, scatter plots for E-A5, E-A10, and E-A15 were established. Based on the area clustering method, a four-level early warning model was proposed for the region, and its thresholds were validated using both historical rainfall-induced mass landslide events and recent monitoring data. The results indicate that: (1) landslides in the study area are strongly correlated with the peak rainfall intensity of the day (R), the same day cumulative rainfall (E), and the cumulative rainfall from previous periods (A); (2) threshold models such as lgI-lgD, lgE-lgI, E-A5, E-A10, and E-A15 exhibit good classification performance and are suitable for graded early warning applications. These findings provide empirical support for the development of rainfall-induced landslide early warning systems in red bed mountainous areas of Sichuan Province.
- red bed /
- rainfall-induced landslide /
- rainfall threshold /
- four-level early warning

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References

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