Zhang, G.Q.; Feng, W.K.; Qi, Y.; Zhou, Y.J., and Yang, J., 2020. Logical information model for prediction of reservoir slope stability in water environment control project. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 587-592. Coconut Creek (Florida), ISSN 0749-0208.

The complex structure of the bank slope in the reservoir area is combined with the continuous undercut of the river to transform the side slope of the bank slope, which poses a certain threat to its stability. Water environment Treatment Engineering the actual data of typical slope collapse and deformation of reservoir are used as the basis, and a new quantitative theory method, logical information method, is adopted, which realizes higher accuracy by establishing logical information model and fuzzy logic expansion of the model. Through the prediction of the stability of the shoreline slope of the whole reservoir area, the stability of the natural and post-water rainstorm is statistically different. It is best to carry on the experimental analysis to the model, the result shows: the natural condition subordinate the potentially unstable shore section is very few, the vast majority is basically stable. In the case of heavy rains after water storage, the proportion of unstable shore segments rose to 9.4%, and the stable shoreline fell to 19.2%. The results show that the logic information model has a certain guiding effect on the prediction of the stability of reservoir bank slope of water Environment control project.