自然与人为活动叠加影响下晋祠泉域岩溶地下水位变化特征研究

发布时间：2018-05-09 01:35

本文选题：岩溶地下水 + 数值模拟　；参考：《太原理工大学》2017年硕士论文

【摘要】：晋祠泉是我国北方著名的岩溶大泉之一,在人文和水资源环境方面均有着特殊的意义。上世纪70年代以来,多因素的影响导致泉域岩溶水位下降,晋祠泉断流。晋祠泉域内的岩溶水作为当地主要的工农业和生活饮用水水源,其水位变化关系到当地的国计民生。因此,从晋祠泉域的水文地质条件及其影响因素入手,研究岩溶地下水水位的动态变化,将有助于为泉域岩溶水的保护及合理开发利用提供决策依据。前人对晋祠泉岩溶水位、泉流量的研究多采用集中参数模型,忽略了泉域内复杂的地质、水文地质及地下水循环运动特征。本文收集了泉域有关部门的钻孔资料,建立了研究区的三维地质结构模型,直观地展现了研究区岩溶地下水的赋存条件;以此为基础,建立了晋祠泉域岩溶地下水的数值模型,并通过正交实验法分析了参数的敏感性,建立了仿真度较高的预测模型;最后,结合当地实际的实际情况,提出预测方案,探讨了晋祠泉的复流问题。取得的主要成果如下:(1)建立了晋祠泉域的三维地质结构模型。地质结构模型的建立有利于研究者深入观察研究区内的地层起伏变化以及探究含水层内岩溶地下水的赋存及运移条件,为地下水模型的建立提供了地层标高数据。(2)建立了泉域岩溶地下水运动的机理模型。以三维地质结构模型和水均衡要素的分析为基础,建立晋祠泉域岩溶水的地下水流数值模拟模型,并对模型进行了拟合验证,结果表明其对地下水的水位仿真度较高。(3)采用正交实验法,分析了模型的参数敏感度。选取渗透系数kx、ky和贮水率Ss为灵敏度分析因子,运用正交实验法计算分析了各个参数对于模型的敏感度,显示渗透系数的影响最大。(4)晋祠泉地下水位动态主要与大气降水入渗补给、河道渗漏补给、岩溶地下水开采、煤矿矿坑排水以及岩溶地下水向平泉和盆地孔隙水的侧向排泄量有关。综合考虑以上因素提出泉域水位预测方案,结果表明晋祠泉复流的增补压采方案中,压采效果较好。
[Abstract]:Jinci Spring is one of the famous karst springs in the north of China. Since the 1970s, many factors have caused the karst water level to drop and the Jinci spring to flow. The karst water in Jinci spring area is the main water source of industry, agriculture and domestic drinking water, and its water level change is related to the local national economy and people's livelihood. Therefore, starting from the hydrogeological conditions of Jinci spring area and its influencing factors, the study on the dynamic change of karst groundwater level will be helpful to provide a decision basis for the protection and rational development and utilization of karst water in the spring area. The previous researches on the karst water level and discharge of Jinci spring mostly adopted the centralized parameter model, ignoring the complicated geological, hydrogeological and groundwater circulation characteristics in the spring region. In this paper, the borehole data of the relevant departments in the spring region are collected, the 3D geological structure model of the study area is established, and the occurrence conditions of the karst groundwater in the study area are displayed intuitively, and the numerical model of the karst groundwater in the Jinci spring area is established on this basis. The sensitivity of the parameters is analyzed by orthogonal experiment, and a prediction model with high fidelity is established. Finally, combining with the actual situation in the local area, the prediction scheme is put forward, and the reflow problem of Jinci spring is discussed. The main results are as follows: 1) the 3D geological structure model of Jinci spring area is established. The establishment of geological structure model is helpful for the researchers to observe the stratigraphic fluctuation in the study area and to explore the conditions of occurrence and migration of karst groundwater in the aquifer. The mechanism model of karst groundwater movement in spring region is established by providing stratigraphic elevation data. Based on the analysis of 3D geological structure model and water equilibrium elements, a numerical simulation model of groundwater flow of karst water in Jinci spring region is established, and the model is verified by fitting. The results show that the sensitivity of the model is analyzed by orthogonal experiment. The sensitivity of each parameter to the model is calculated and analyzed by using the orthogonal experiment method, in which the permeability coefficient Kxky and the water storage ratio S _ s are selected as the sensitivity analysis factors. It shows that the influence of permeability coefficient is the greatest. 4) the groundwater level dynamics of Jinci spring are mainly related to precipitation infiltration recharge, channel seepage recharge, karst groundwater mining, etc. Coal mine drainage and the lateral discharge of karst groundwater to Pingquan and the basin. Considering the above factors, the prediction scheme of spring water level is put forward. The results show that in the additional pressure mining scheme of Jinci spring recurrent, the effect of pressure mining is better.
【学位授予单位】：太原理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：P641.8

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