The gray renewal GM (1,1) landslide prediction model was established by improving the gray model. Based on the established model, the author has made prediction of landslide deformation to the Xiangjiapo landslide and...The gray renewal GM (1,1) landslide prediction model was established by improving the gray model. Based on the established model, the author has made prediction of landslide deformation to the Xiangjiapo landslide and the Lianziya dangerous rock body. The results show that the gray renewal GM (1,1) model can supplement the new information in time and remove the old information which reduces the meaning of the information because of time lapse. Therefore, the model is closer to reality.展开更多
Landslide monitoring is one of the important means to landslide control. In order to do well this job in landslide monitoring work, first in ascertaining the geological conditions, then laying out a variety of profess...Landslide monitoring is one of the important means to landslide control. In order to do well this job in landslide monitoring work, first in ascertaining the geological conditions, then laying out a variety of professional monitoring points. This paper adopts the fuzzy cluster analysis method, and the landslide monitoring points by using fuzzy cluster analysis method, through the calculation of deformation of fuzzy clustering, finally draws the conclusion that the landslide monitoring point classification. The method for the landslide monitoring point optimization, as well as the landslide deformation monitoring plan modification and perfect have very important reference value.展开更多
文摘The gray renewal GM (1,1) landslide prediction model was established by improving the gray model. Based on the established model, the author has made prediction of landslide deformation to the Xiangjiapo landslide and the Lianziya dangerous rock body. The results show that the gray renewal GM (1,1) model can supplement the new information in time and remove the old information which reduces the meaning of the information because of time lapse. Therefore, the model is closer to reality.
文摘Landslide monitoring is one of the important means to landslide control. In order to do well this job in landslide monitoring work, first in ascertaining the geological conditions, then laying out a variety of professional monitoring points. This paper adopts the fuzzy cluster analysis method, and the landslide monitoring points by using fuzzy cluster analysis method, through the calculation of deformation of fuzzy clustering, finally draws the conclusion that the landslide monitoring point classification. The method for the landslide monitoring point optimization, as well as the landslide deformation monitoring plan modification and perfect have very important reference value.
