【作者】 韩程辉；

【导师】 刘文生；

【作者基本信息】 辽宁工程技术大学 ， 防灾减灾工程及防护工程， 2005， 硕士

【摘要】 本文首先分析了矿山开采对地下水资源的影响,利用人工神经网络模型预测了矿区地下水位的变化。然后通过对矿区地下水污染物组分的分析,利用模糊综合评判法,对矿区地下水水质做出了比较合乎实际的评价,并实现了模糊评价的电算化。同时利用Matlab程序,实现了矿区污染物组分浓度的区域可视化,绘制出了污染物组分含量的等值线图,分析了污染物的分布和扩散情况。此外利用Matlab软件的三角网格命令、等高线绘制命令,结合CAD软件实现了地下水水质评价的区域可视化,此方法简单易行,使水质评价结果更直观。为矿区地下水资源的保护和污染防治工作提供了理论依据。最后提出了矿区水资源的保护措施和污染防治工作。更多还原

【Abstract】 At first,This text analyses that mine exploiting impacts on groundwater resources , utilizes the artificial neural network model to predict change of the water level in mine area. Then, Through the analysis to the groundwater pollutant component in mine area, it utilizes the theory of fuzzy math to appraise the groundwater quality in mine area, which relatively conforms with facts, and realizes electronic process of fuzzy appraisal with Matlab procedure. At the same time it realizes the pollutant component visually, draws out the equivalence line chart of pollutant component. In addition, It utilizes the orders of triangular net and contour in Matlab software , combining CAD software ,to realize the visualization of groundwater quality appraisal in area, this method is so easy and makes the result more ocularly,which has offered the theoretical foundation for protection and pollution preventing and controlling of the groundwater resources in mine area. Finally, the paper puts forward protective measure of the water resource in mine area and methods of pollution preventing and controlling.更多还原