大興迭隆起地區(qū)地下水流數(shù)值模擬的不確定性分析
[Abstract]:Uncertainty analysis of groundwater numerical simulation has always been the focus and difficulty of hydrogeologists and researchers. This paper aims to study the number of boreholes, the influence of uncertainty of borehole distribution on the simulation results, and to explore the basis for the layout of hydrogeological boreholes. The accuracy of numerical simulation of groundwater flow in the area with scarce holes is studied. Variation function analysis combined with Kriging interpolation is used to study the influence of the number and distribution of boreholes on the simulation. Monte Carlo method is used to realize the trending treatment of parameter field. Uncertainty analysis of fault property and permeability coefficient field of groundwater flow model in Daxing-stack uplift is carried out. In order to study the influence of sample data on the simulation results of the model, an example model consisting of three lithology (permeability) distributions is constructed for the Quaternary sedimentary conditions in Daxing-stack uplift area. The three lithologies are coarse sand, medium coarse sand and coarse sand. The numerical model is divided into 50 rows by 50 rows, and the cell size is 100 m by 100 m. The simulation results of sample size and lithologic field show that the simulation error is rapid and obvious in the early stage of sample size increase. When the sample size increases to 300, the error decreases rapidly, and the error reaches a stable state after the sample size reaches 1000. By analyzing the influence of sample location on lithology field simulation, we can see that the lithology simulation results are ideal when the sample size is the same, and the simulation average error is relatively good. When the nearest neighbor index is greater than 0.9, the simulation error will be less than 10%. Monte Carlo method is used to trend the permeability field to make the permeability field conform to two-dimensional. The simulation results of the random permeability field and the trend permeability field show that the simulation results of the two methods are basically the same, while the trend permeability field can reduce the overall simulation error by about 1/2. The larger simulation error is concentrated near the pumping well. Basically, the permeability field can be further optimized by Ucode software, and the simulation error can be reduced by about 1/3 after optimization. The Daxingtai uplift area is mainly composed of unconsolidated pore phreatic aquifer, unconsolidated pore confined aquifer, Ordovician, Cambrian and Qingbaikou limestone karst fissure aquifer, and karst aquifer aquifer aquifer aquifer aquifer aquifer aquifer aqui The groundwater flow state with the characteristics of karst in the north still conforms to Darcy's law. In this study, a five-layer numerical model of heterogeneous, vertical anisotropy, three-dimensional structure and unsteady groundwater flow in Daxing-Die uplift area was established. On this basis, the seepage was treated by changing the boundary parameters of the model and trending. The results show that the Nanyuan-Tongxian fault in the area can be basically regarded as a water-blocking fault, while the Yongdinghe fault in the northwest of the model is lateral water-blocking, and the Quaternary aquifer is vertically formed to recharge the karst aquifer. After the permeability field is processed, the variation range of permeability coefficient is wider in the area with coarser aquifer particles, and the simulation precision is improved obviously after trending, while the variation of simulated water level is very weak in the area with fine sand and clay, and the trending treatment has little influence on the fitting result.
【學位授予單位】:中國地質大學(北京)
【學位級別】:博士
【學位授予年份】:2016
【分類號】:P641
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