Acta Geodaetica et Cartographica Sinica ›› 2025, Vol. 54 ›› Issue (9): 1687-1696.doi: 10.11947/j.AGCS.2025.20250147

• Photogrammetry and Remote Sensing • Previous Articles     Next Articles

Quantitative analysis method for the time lag effect of rainfall-reservoir water level-landslide deformation

Feifei TANG1,2,3(), Junzhe ZHOU1,2(), Changhan WANG3,4, Jianyun WANG3,4, Yutao ZHOU5, Yafei HAO6   

  1. 1.Smart City College, Chongqing Jiaotong University, Chongqing 400074, China
    2.Chongqing Key Laboratory of Mountainous City Spatiotemporal Information, Chongqing 400074, China
    3.Intelligent City Spatiotemporal Information and Equipment Engineering Technology Innovation Center, Ministry of Natural Resources, Chongqing 400020, China
    4.Chongqing Academy of Surveying and Mapping, Chongqing 400020, China
    5.Chongqing Chuandongnan Engineering Survey and Design Institute, Chongqing 400015, China
    6.China Gezhouba Group Explosives Corporation Limited, Chongqing 401122, China
  • Received:2025-04-03 Revised:2025-08-01 Online:2025-10-10 Published:2025-10-10
  • Contact: Junzhe ZHOU E-mail:tangfeifei@cqjtu.edu.cn;jz_zhou0416@163.com
  • About author:TANG Feifei (1980—), female, PhD, professor, majors in disaster and facility structural safety monitoring and early warning methods. E-mail: tangfeifei@cqjtu.edu.cn
  • Supported by:
    Key Project of Chongqing Technology Innovation and Application Development(CSTB2022TIAD-KPX0098)

Abstract:

Aiming at the challenge of accurately and quantitatively determining the time lag effect of reservoir bank landslide deformation under the combined influence of rainfall and reservoir water level fluctuations, this paper proposes a quantitative analysis method (MIC-SPA) integrating the maximum information coefficient (MIC) and set pair analysis (SPA). The MIC method is utilized to objectively quantify the contribution weights of rainfall and reservoir water level to landslide deformation. Simultaneously, based on SPA, the “identity-discrepancy-contrary” connection degree between rainfall-reservoir water level trends and landslide deformation is evaluated. By incorporating the weight coefficients and connection degree coefficients into a linear regression formula, a lagged regression equation is established, thereby achieving quantitative analysis of the time lag effect. The proposed method is applied to a case study of a landslide in the Three Gorges Reservoir area. Results show that the contribution weights of reservoir water level and rainfall to landslide deformation are 0.537 and 0.463, respectively. Furthermore, analysis reveals that during rapid reservoir drawdown (>0.6 m/d), the lag periods for deformation at the landslide's front, middle, and rear sections are 5~6 days, 2~3 days, and 1 day, respectively, achieving precise zonal time lag analysis. Validation through comparison with the acceleration deformation phases identified by the modified tangent angle method demonstrates that the lag durations derived from this method align with the acceleration dates of deformation. The proposed approach provides scientific guidance for landslide hazard prediction.

Key words: reservoir bank landslide, rainfall, reservoir water level, maximum information coefficient, set pair analysis, time lag effect

CLC Number: