【摘要】 淮南矿区采煤塌陷水域蕴含着大量的水资源,为保护和合理利用塌陷水域水资源,建立起生态-水质数学模型预测塌陷水域水质演变。模型采用有限差分法离散,生态动力学项与扩散项脱耦处理,水质状态变量选择NH4+-N、NO2--N、NO3--N、DO、BOD、PO43-(磷酸盐)、CHL(叶绿素a)7个指标。运用该模型对淮南张集矿和顾桥矿不同塌陷年龄的水域水质进行模拟计算,结果表明:超过6年的塌陷水域污染物呈逐年下降趋势;预测2020年张集矿1号塌陷区的7种水体染污指标模拟浓度分别为0.440、0.004、0.008、8.190、4.180、0.034和0.020 mg/L,水质将会变得较好。更多还原

【Abstract】 There was great water resources contained in the water area caused by the coal mining subsidence in Huainan Mining Area.In order to protect and rationally utilize the water resources in the subsidence water area,a ecological-water quality numerical model was established to predict the water quality evolution of the subsidence water area.The finite difference method was applied to the dispersed,ecological dynamics phase and diffusion phase decoupling treatment of the model.The seven indexes of NH+4-N、NO-2-N、NO-3-N、DO、BOD、PO3-4(phosphate) and CHL(chlorophyll) were selected as the water quality variations.The model was applied to the simulation calculation on the water quality of the different age water areas in Huainan Zhangji Mine and Guqiao Mine.The results showed that the pollutants in over 6years subsidence water area would be steadily reduced.In the year of 2020,the simulation densities of the seven water pollution indexes in No.1 subsidence water area of Zhangji Mine were predicted as 0.44,0.004,0.008,8.19,4.18,0.034 and 0.02 mg/L individually and the water quality would become better.更多还原