Early warning model for slope debris flow initiation Early warning model for slope debris flow initiation

最小化 最大化

Vol15 No.6: 1342-1353

Title】Early warning model for slope debris flow initiation

Author】LI Ming-li1,2; JIANG Yuan-jun1*; YANG Tao3; HUANG Qiang-bing4; QIAO Jian-ping1; YANG Zong-ji1

Addresses】1 Key Laboratory of Mountain Hazards and Earth Surface Process of Chinese Academy of Sciences, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China; 2 University of Chinese Academy of Sciences, Beijing 100049, China; 3 Chengdu Center of Hydrogeology and Engineering Geology of Sichuan Bureau of Geology & Mineral Resources, Chengdu 610000, China; 4 Department of Geological Engineering, Chang'an University, Xi'an 710054, China

Corresponding author】JIANG Yuan-jun

Citation】Li ML, Jiang YJ, Yang T, et al. (2018) Early warning model for slope debris flow initiation. Journal of Mountain Science 15(6). https://doi.org/10.1007/s11629-017-4779-z


Abstract】Early warning model of debris flow is important for providing local residents with reliable and accurate warning information to escape from debris flow hazards. This research studied the debris flow initiation in the Yindongzi gully in Dujiangyan City,Sichuan province,China with scaled-down model experiments. We set rainfall intensity and slope angle as dominating parameters and carried out 20 scaled-down model tests under artificial rainfall conditions. The experiments set four slope angles (32°, 34°, 37°, 42°) and five rainfall intensities (60 mm/h, 90 mm/h, 120 mm/h, 150 mm/h, and 180 mm/h) treatments. The characteristic variables in the experiments, such as, rainfall duration, pore water pressure, moisture content, surface inclination, and volume were monitored. The experimental results revealed the failure mode of loose slope material and the process of slope debris flow initiation, as well as the relationship between the surface deformation and the physical parameters of experimental model. A traditional rainfall intensity-duration early warning model (I-D model) was firstly established by using a mathematical regression analysis, and it was then improved into ISD model and ISM model (Here, I is rainfall Intensity, S is Slope angle, D is rainfall Duration, and M is Moisture content). The warning model can provide reliable early warning of slope debris flow initiation.

Keywords】Slope debris flow; Artificial rainfall model; Early warning model; Model experiment