四川雅江县火后泥石流易发性与冲出规模预测模型

龚学强; 周永豪; 何坤; 胡卸文; 罗刚; 杨东强; 马洪生

doi:10.3799/dqkx.2025.094

Volume 50 Issue 10

Oct. 2025

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Article Navigation > Earth Science > 2025 > 50(10): 4096-4110

Gong Xueqiang, Zhou Yonghao, He Kun, Hu Xiewen, Luo Gang, Yang Dongqiang, Ma Hongsheng, 2025. Prediction Models for Post-Fire Debris Flow Susceptibility and Debris Flow Volume in Yajiang County, Sichuan, China. Earth Science, 50(10): 4096-4110. doi: 10.3799/dqkx.2025.094

Citation:

Gong Xueqiang, Zhou Yonghao, He Kun, Hu Xiewen, Luo Gang, Yang Dongqiang, Ma Hongsheng, 2025. Prediction Models for Post-Fire Debris Flow Susceptibility and Debris Flow Volume in Yajiang County, Sichuan, China. Earth Science, 50(10): 4096-4110. doi: 10.3799/dqkx.2025.094

Citation:

Gong Xueqiang, Zhou Yonghao, He Kun, Hu Xiewen, Luo Gang, Yang Dongqiang, Ma Hongsheng, 2025. Prediction Models for Post-Fire Debris Flow Susceptibility and Debris Flow Volume in Yajiang County, Sichuan, China. Earth Science, 50(10): 4096-4110. doi: 10.3799/dqkx.2025.094

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Prediction Models for Post-Fire Debris Flow Susceptibility and Debris Flow Volume in Yajiang County, Sichuan, China

doi: 10.3799/dqkx.2025.094

Gong Xueqiang^{1
,
,},
Zhou Yonghao¹,
He Kun^{1, 2},
Hu Xiewen^{1, 2
,
,},
Luo Gang^{1, 2},
Yang Dongqiang³,
Ma Hongsheng⁴

1.
Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China
2.
Sichuan Province Engineering Technology Research Center of Ecological Mitigation of Geohazards in Tibet Plateau Transportation Corridors, Chengdu 611756, China
3.
Nuclear Industry Southwest Geotechnical Investigation & Design Institute Co., Ltd., Chengdu 610000, China
4.
Sichuan Highway Planning, Survey, Design and Research Institute Ltd., Chengdu 610056, China

Received Date: 2025-03-23
Publish Date: 2025-10-25

Abstract

Abstract

On March 15, 2024, an extensive forest fire occurred in Yajiang County, Sichuan Province. In the first post-fire rainy season, hundreds of post-fire debris flows (PFDFs) were triggered, providing a valuable dataset for studying PFDFs in southwestern mountainous regions. This study developed PFDF susceptibility and volume prediction models based on field investigations, UAV imagery, satellite remote sensing, and rainfall data. The models were constructed using the PFDF event database from the burned area of Yajiang County on March 15, 2024, and were subsequently applied to hazard prediction for two burned areas: Chengxiang Village (December 9, 2024) and Muzexi Village (February 2, 2025). The results show follows. (1) The optimal Random Forest susceptibility model achieved an AUC of 0.905 and an accuracy of 0.950. For the Chengxiang and Muzexi burned areas, 10 and 22 catchments, respectively, were classified as extremely high or high susceptibility, accounting for 48.57% and 73.68% of their total watersheds. (2) The optimal factor combination for the volume prediction model included hourly rainfall intensity, percentage of catchment area with slopes exceeding 30°, soil clay content, gully density, normalized difference vegetation index (NDVI), and the moderate and severe burned area. The generalized additive model for volume prediction achieved an R² of 0.65. Under Q25%, Q75%, and P20% rainfall scenarios, the proportion of catchments in Chengxiang with debris flow volumes exceeding 200 m³ was 2.86%, 25.72%, and 34.29%, respectively, while in Muzexi, the proportion of catchments with volumes exceeding 1 000 m³ was 0%, 15.79%, and 63.16%, respectively. Debris flow volumes in Chengxiang are generally smaller, but the area contains a high density of vulnerable elements, with catchments CX05, CX08, CX13, and CX25 posing significant hazards. In contrast, debris flows in Muzexi tend to have larger volumes, with catchments MZX02 and MZX04 identified as high-risk areas.
- Yajiang,
- post-fire debris flow,
- susceptibility,
- debris flow volume,
- prediction model,
- engineering geology

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References(50)

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Prediction Models for Post-Fire Debris Flow Susceptibility and Debris Flow Volume in Yajiang County, Sichuan, China

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