Research on Transport of Tailings Contaminant Based on Improved Permeability Coefficient
XIE Xuebin1, RAO Baowen1, LUO Haixia1, WANG Shasha1, LIN Xiaoguang1, LIU Sijin2
1. School of Resource and Safety Engineering, Central South University, Changsha 410083, China;2. School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
Abstract:Fredlund analytic relations function was used to describe the relationship between the coefficient permeability and the matric suction, through which the permeability coefficient was improved to be a function, and heavy metal migration process under the seepage conditions was explored. A two-dimensional numerical migration model of tailings contaminants was established based on the percolation theory, and the finite element method was used to solve the model. Coupled with the solute transport sub-model, the seepage results were used for calculation as the parent model. The results show that, during the service of the tailings, the migration of heavy metal ion contaminants expands their scope and size in the surrounding soil, the concentration of the contaminants becomes smaller and smaller with the distance of migration increases. The contaminants exposed beyond the slope begins to impact on the surrounding environment when the migration of heavy metal contaminant model is calculated under seepage by 2750 days, and the migration paths of the contaminant are concluded under the seepage conditions. The results calculated by the improved permeability coefficient conform to the environmental monitoring data of the tailings. Under the condition of the allowed model error, the computation results are reliable, which can provide a theoretical basis for the safety management and environmental monitoring of tailings.
谢学斌;饶宝文;罗海霞;王莎莎;林晓光;刘四进. 基于改良渗透系数的尾矿库污染物运移模拟[J]. , 2013, 31(27): 49-54.
XIE Xuebin;RAO Baowen;LUO Haixia;WANG Shasha;LIN Xiaoguang;LIU Sijin. Research on Transport of Tailings Contaminant Based on Improved Permeability Coefficient. , 2013, 31(27): 49-54.