降雨特征差异对群发滑坡类型分异与触发时序影响

doi:10.3799/dqkx.2026.134

降雨特征差异对群发滑坡类型分异与触发时序影响

doi: 10.3799/dqkx.2026.134

罗森林¹,
毛无卫^1,3, ,,
郑国明⁴,
邹嘉玲¹,
黄雨^1,2,3

1. 同济大学土木工程学院, 上海 200092;
2. 同济大学土木工程防灾减灾全国重点实验室, 上海 200092;
3. 同济大学岩土及地下工程教育部重点实验室, 上海 200092;
4. 福建省地质科学研究院, 福建福州 350013

基金项目:

国家重点研发计划（No.2024YFC3012600）.

详细信息

作者简介:
罗森林(1996-)，男，博士研究生，主要从事降雨型群发滑坡致灾机理与风险动态智能评估研究。Email： luosenlin1996@163.com，ORCID:0000-0002-2111-3990.

通讯作者:
毛无卫(1986-),男，副教授，博士，主要从事地质灾害防治、地震工程地质与颗粒物质力学研究。Email:maowuwei@tongji.edu.cn，ORCID:0000-0002-7301-3895.

中图分类号: TB16
计量
- 文章访问数: 38
- HTML全文浏览量: 4
- PDF下载量: 5
- 被引次数: 0
出版历程
- 收稿日期: 2026-01-01
- 网络出版日期: 2026-05-13

Effects of Rainfall Characteristics on the Typological Differentiation and Triggering Sequence of Clustered Landslides

Senlin Luo¹,
Wuwei Mao^{1,3
, ,},
Guoming Zheng⁴,
Jialing Zou¹,
Yu Huang^1,2,3

1. School of Civil Engineering, Tongji University, Shanghai 200092, China;
2. State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China;
3. Key Laboratory of Geotechnical and Underground Engineering of the Ministry of Education, Tongji University, Shanghai 200092, China;
4. Fujian Institute of Geological Sciences, Fuzhou 350013, China

摘要

摘要: 福建省武平县2022、2024年两起群发滑坡降雨量阈值相差近100 mm。为揭示降雨特征差异对群发滑坡响应的影响，本文构建了降雨过程特征描述框架与滑坡空间拓扑特征分类方法，对两次事件的地质地形背景、降雨时空结构及滑坡类型进行了定量对比分析，并讨论了入渗控制机制与触发时序的关联。结果表明，两次事件的区域背景与降雨特征差异显著，但滑坡点关键地质地形条件高度一致。同时，滑坡类型和时序特征受降雨特征影响亦存在差异，2022年以短历时强峰值降雨和微小型滑坡为主，2024年则表现为长持时强降雨，平面型与汇聚型滑坡显著增多。研究表明，群发滑坡预警应显式纳入雨型信息，并关注峰值结构、降雨历时入渗补给与地形汇流的共同控制，相关结论为复杂降雨条件下群发滑坡预警与机理揭示提供了重要途径。
- 降雨型群发滑坡 /
- 降雨特征 /
- 滑坡特征 /
- 拓扑数据分析
Abstract: The rainfall thresholds of two clustered landslide events that occurred in Wuping County, Fujian Province, in 2022 and 2024 differed by nearly 100 mm. To clarify how differences in rainfall characteristics affect clustered landslide responses, this study developed a rainfall process characterization framework and a spatial topological classification method for landslides. Based on these approaches, the two events were quantitatively compared in terms of their geological and topographic settings, spatiotemporal rainfall structures, and landslide types, and the relationship between infiltration control mechanisms and triggering timing was further discussed. The results show that, although the two events exhibited significant differences in regional background conditions and rainfall characteristics, the key geological and topographic conditions at the landslide locations were highly consistent. At the same time, landslide types and temporal characteristics also differed in response to rainfall characteristics: the 2022 event was dominated by short-duration, high-peak rainfall and mostly small landslides, whereas the 2024 event was characterized by long-duration intense rainfall, with a marked increase in planar and convergent landslides. These findings suggest that rainfall pattern information should be explicitly incorporated into clustered landslide early warning, with particular attention to the combined controls of peak rainfall structure, duration-dependent infiltration recharge, and topographic flow convergence. The results provide an important basis for improving early warning and understanding the mechanisms of clustered landslides under complex rainfall conditions.
- rainfall-induced clustered landslides /
- rainfall characteristics /
- landslide characteristics /
- topological data analysis

HTML全文

参考文献(41)

Ayuso-Muñoz, J. L., García-Marín, A. P., Ayuso-Ruiz, P., et al., 2015. A More Efficient Rainfall Intensity-Duration-Frequency Relationship by Using an “at-Site” Regional Frequency Analysis: Application at Mediterranean Climate Locations. Water Resources Management, 29(9): 3243-3263. doi: 10.1007/s11269-015-0993-z
Bhuyan, K., Rana, K., Ferrer, J. V., et al., 2024. Landslide Topology Uncovers Failure Movements. Nature Communications, 15(1): 2633. doi: 10.1038/s41467-024-46741-7
Brunetti, M. T., Peruccacci, S., Rossi, M., et al., 2010. Rainfall Thresholds for the Possible Occurrence of Landslides in Italy. Natural Hazards and Earth System Sciences, 10(3): 447-458. doi: 10.5194/nhess-10-447-2010
Cohen-Steiner, D., Edelsbrunner, H., Harer, J., 2005. Stability of Persistence Diagrams. Proceedings of the Twenty-First Annual Symposium on Computational Geometry, 263-271. doi: 10.1145/1064092.1064133
Dille, A., Dewitte, O., Handwerger, A. L., et al., 2022. Acceleration of a Large Deep-Seated Tropical Landslide due to Urbanization Feedbacks. Nature Geoscience, 15(12): 1048-1055. doi: 10.1038/s41561-022-01073-3
Edelsbrunner, H., Harer, J., 2010. Computational Topology: An Introduction. American Mathematical Society
Emberson, R., Kirschbaum, D., Stanley, T., 2021. Global Connections between El Nino and Landslide Impacts. Nature Communications, 12(1): 2262. doi: 10.1038/s41467-021-22398-4
Fan, L., Lehmann, P., Zheng, C., et al., 2020. Rainfall Intensity Temporal Patterns Affect Shallow Landslide Triggering and Hazard Evolution. Geophysical Research Letters, 47(1): e2019GL085994. doi: 10.1029/2019GL085994
Gómez, D., García, E. F., Aristizábal, E., 2023. Spatial and Temporal Landslide Distributions Using Global and Open Landslide Databases. Natural Hazards, 117(1): 25-55. doi: 10.1007/s11069-023-05848-8
Gong, T., He, R. H., He, C., et al., 2025. Fluid-Solid Coupled Modeling of the Entire Process of Rainfall-Induced Landslides and Study of Landslide Timing. Chinese Journal of Rock Mechanics and Engineering, 44(10): 2608-2621 (in Chinese with English abstract). doi: 10.3724/1000-6915.jrme.2025.0211
Guo, Z., Chen, L., Yin, K., et al., 2020. Quantitative Risk Assessment of Slow-Moving Landslides from the Viewpoint of Decision-Making: A Case Study of the Three Gorges Reservoir in China. Engineering Geology, 273: 105667. doi: 10.1016/j.enggeo.2020.105667
Guo, Z., Zeng, T., Zhang, Y., et al., 2025. A Novel Hybrid Model Integrating High Resolution Remote Sensing and Stacking Ensemble Techniques for Landslide Susceptibility Mapping: Application to Event-Based Landslide Inventory. Geomorphology, 486: 109886. doi: 10.1016/j.geomorph.2025.109886
7. doi: 10.1007/s10346-007-0112-1
He, Z., Huang, Y., Li, Y., et al., 2024. Probabilistic Fragility Assessment of Slopes Considering Uncertainty Associated with Temporal Patterns of Rainfall Intensity. Computers and Geotechnics, 173: 106534. doi: 10.1016/j.compgeo.2024.106534
Huang, F. M., Chen, J. W., Fan, X., et al., 2022. Logistic Regression Fitting of Rainfall-Induced Landslide Occurrence Probability and Continuous Landslide Hazard Prediction Modelling. Earth Science, 47(12): 4609-4628 (in Chinese with English abstract). doi: 10.3799/dqkx.2021.164
Huang, Y., Zhao, C., Jin, X., et al., 2023. Case Study of a Landslide Continuous Probability Rainfall Threshold Analysis Based on the Prediction Interval Principle. Scientific Reports, 13(1): 2434. doi: 10.1038/s41598-023-29625-6
Ji, J., Cui, H. Z., Tong, B., et al., 2024. Fast Zoning of Rainfall-Induced Shallow Landslide Susceptibility Based on Physical Process Uncertainty: Development and Application of GIS-FORM. Chinese Journal of Rock Mechanics and Engineering, 43(4): 838-850 (in Chinese with English abstract). doi: 10.13722/j.cnki.jrme.2023.0724
Liu, X., Zhang, X., Kong, L., et al., 2022. Disintegration of Granite Residual Soils with Varying Degrees of Weathering. Engineering Geology, 305: 106723. doi: 10.1016/j.enggeo.2022.106723
Liu, Z. Q., Wu, Q., Wang, L. Q., et al., 2025. Review on Multi-Scale Formation Mechanisms of Rainfall-Induced Cluster Landslides in Southeastern China under Multi-Factor Coupling Effects. Earth Science, 1-24. doi: 10.3799/dqkx.2025.266 (in Chinese with English abstract)
Mondini, A. C., Guzzetti, F., Melillo, M., 2023. Deep Learning Forecast of Rainfall-Induced Shallow Landslides. Nature Communications, 14(1): 2466. doi: 10.1038/s41467-023-38135-y
Muller, A., Bacro, J. N., Lang, M., 2008. Bayesian Comparison of Different Rainfall Depth-Duration-Frequency Relationships. Stochastic Environmental Research and Risk Assessment, 22(1): 33-46. doi: 10.1007/s00477-006-0095-9
Onodera, T., Yoshinaka, R., Kazama, H., 1974. Slope Failures Caused by Heavy Rainfall in Japan. Journal of the Japan Society of Engineering Geology, 15(4): 191-200
Piciullo, L., Calvello, M., Cepeda, J. M., 2018. Territorial Early Warning Systems for Rainfall-Induced Landslides. Earth-Science Reviews, 179: 228-247. doi: 10.1016/j.earscirev.2018.02.013
Ran, Q., Hong, Y., Li, W., et al., 2018. A Modelling Study of Rainfall-Induced Shallow Landslide Mechanisms under Different Rainfall Characteristics. Journal of Hydrology, 563: 790-801. doi: 10.1016/j.jhydrol.2018.06.040
Reichenbach, P., Rossi, M., Malamud, B. D., et al., 2018. A Review of Statistically-Based Landslide Susceptibility Models. Earth-Science Reviews, 180: 60-91. doi: 10.1016/j.earscirev.2018.03.001
Vennari, C., Gariano, S. L., Antronico, L., et al., 2014. Rainfall Thresholds for Shallow Landslide Occurrence in Calabria, Southern Italy. Natural Hazards and Earth System Sciences, 14(2): 317-330. doi: 10.5194/nhess-14-317-2014
Wang, J. H., Xu, W. J., 2025. Slope Stability and Failure Dynamics of Rainfall-Induced Landslide: Algorithm and Applications. Computers and Geotechnics, 177: 106919. doi: 10.1016/j.compgeo.2024.106919
Wu, S., Chui, T. F. M., Chen, L., 2021. Modeling Slope Rainfall-Infiltration-Runoff Process with Shallow Water Table during Complex Rainfall Patterns. Journal of Hydrology, 599: 126458. doi: 10.1016/j.jhydrol.2021.126458
Yang, H. Q., Zhang, L., Gao, L., et al., 2022. On the Importance of Landslide Management: Insights from a 32-Year Database of Landslide Consequences and Rainfall in Hong Kong. Engineering Geology, 299: 106578. doi: 10.1016/j.enggeo.2022.106578
Yang, Y. Q., Peng, S. Y., Huang, B. M., et al., 2024. Multi-Scale Analysis of the Susceptibility of Different Landslide Types and Identification of the Main Controlling Factors. Ecological Indicators, 168: 112797. doi: 10.1016/j.ecolind.2024.112797
Zhang, C. Y., Wang, S. M., Wang, L., et al., 2025. Hydrological Response and Stability of Landslide with Cracks under Intermittent Rainfall: Integrating Physical Modeling, Numerical Simulation, and Field Investigations. Journal of Hydrology,663: 134316. doi: 10.1016/j.jhydrol.2025.134316
Zhang, S. R., Jia, H., Wang, C., et al., 2024. Deep-Learning-Based Landslide Early Warning Method for Loose Deposits Slope Coupled with Groundwater and Rainfall Monitoring. Computers and Geotechnics, 165: 105924. doi: 10.1016/j.compgeo.2023.105924
Zhang, S., Wang, X., Tan, Q., et al., 2025. Correlation of Engineering Geological Aspects of Bi-Geomaterial Interface and Failure Patterns of Rainfall-Induced Accumulation Landslides in Huanggang Area, China. Bulletin of Engineering Geology and the Environment, 84(12): 1-19. doi: 10.1007/s10064-025-04614-3
Zhong, Y., Li, Y. Y., Yin, K. L., et al., 2023. Failure Mechanism of Thick Colluvium Landslide Triggered by Heavy Rainfall Based on Model Test. Earth Science, 48(10): 3912-3924 (in Chinese with English abstract). doi: 10.3799/dqkx.2021.248
Zomorodian, A., Carlsson, G., 2004. Computing Persistent Homology. Proceedings of the Twentieth Annual Symposium on Computational Geometry, 347-356. doi: 10.1145/997817.997870
附中文参考文献
龚涛，何荣昊，何川，等，2025. 降雨诱发滑坡全过程流固耦合模拟与滑坡时机研究[J]. 岩石力学与工程学报，44(10): 2608-2621. doi: 10.3724/1000-6915.jrme.2025.0211
黄发明，陈佳武，范宣梅，等，2022. 降雨型滑坡时间概率的逻辑回归拟合及连续概率滑坡危险性建模[J]. 地球科学，47(12): 4609-4628. doi: 10.3799/dqkx.2021.164
姬建，崔红志，佟斌，等，2024. 基于物理过程不确定性的降雨诱发浅层滑坡易发性快速区划：GIS-FORM技术开发与应用[J]. 岩石力学与工程学报，43(4): 838-850. doi: 10.13722/j.cnki.jrme.2023.0724
刘智琪，吴琼，王亮清，等，2025. 多因素耦合作用下东南降雨型群发滑坡多尺度孕育机制研究综述[J]. 地球科学，70: 1-24. doi: 10.3799/dqkx.2025.266
钟源，李远耀，殷坤龙，等，2023. 基于物理模型试验的厚层堆积层滑坡强降雨触发机制[J]. 地球科学，48(10): 3912-3924. doi: 10.3799/dqkx.2021.248

施引文献

资源附件(0)

访问统计

点击查看大图

计量

文章访问数: 38
HTML全文浏览量: 4
PDF下载量: 5
被引次数: 0

姓名
邮箱
手机号码
标题
留言内容
验证码

留言板

降雨特征差异对群发滑坡类型分异与触发时序影响

doi: 10.3799/dqkx.2026.134

作者简介:
罗森林(1996-)，男，博士研究生，主要从事降雨型群发滑坡致灾机理与风险动态智能评估研究。Email： luosenlin1996@163.com，ORCID:0000-0002-2111-3990.

通讯作者:
毛无卫(1986-),男，副教授，博士，主要从事地质灾害防治、地震工程地质与颗粒物质力学研究。Email:maowuwei@tongji.edu.cn，ORCID:0000-0002-7301-3895.

计量

Effects of Rainfall Characteristics on the Typological Differentiation and Triggering Sequence of Clustered Landslides

计量

目录

留言板

降雨特征差异对群发滑坡类型分异与触发时序影响

doi: 10.3799/dqkx.2026.134

作者简介: 罗森林(1996-)，男，博士研究生，主要从事降雨型群发滑坡致灾机理与风险动态智能评估研究。Email： luosenlin1996@163.com，ORCID:0000-0002-2111-3990.

通讯作者: 毛无卫(1986-),男，副教授，博士，主要从事地质灾害防治、地震工程地质与颗粒物质力学研究。Email:maowuwei@tongji.edu.cn，ORCID:0000-0002-7301-3895.

计量

出版历程

Effects of Rainfall Characteristics on the Typological Differentiation and Triggering Sequence of Clustered Landslides

计量

出版历程

目录

作者简介:
罗森林(1996-)，男，博士研究生，主要从事降雨型群发滑坡致灾机理与风险动态智能评估研究。Email： luosenlin1996@163.com，ORCID:0000-0002-2111-3990.

通讯作者:
毛无卫(1986-),男，副教授，博士，主要从事地质灾害防治、地震工程地质与颗粒物质力学研究。Email:maowuwei@tongji.edu.cn，ORCID:0000-0002-7301-3895.