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Evaluation of mine environmental quality based on grey clustering analysis

机译:基于灰色聚类分析的矿山环境质量评价

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In grey clustering analysis (GCA), the environmental quality of Shanxi Province's coal mining areas was taken as a grey system and was evaluated by GCA.In order to evaluate quantitatively the environmental quality of mining areas, a GCA model had been established based on the environmental quality monitoring data of 12monitoring stations in 2012 and 11 main pollutants as assessment indicators according to national environmental quality standards.As the raw data had different values and units, the method of average normalization was adopted before applying them in order to eliminate the impact of dimensions.The triangular whitenization weight functions were constructed to calculate grey membership of measured values.The degree of different contaminative factors was obtained by threshold inverse method.The grey clustering evaluation was performed for the sampled data.In addition, visual technique in ArcGIS was applied to display the overall mine environmental quality status.The research result was indicated that the above method was rational and effective.Furthermore, it will not only provide a new method of environmental assessment for mining areas but also be applied to environmental assessment for other mining areas.
机译:在灰色聚类分析中,以山西省煤矿区的环境质量为灰色系统,并通过GCA进行了评价。根据国家环境质量标准,2012年的12个监测站的环境质量监测数据和11种主要污染物作为评估指标,由于原始数据具有不同的值和单位,因此在应用之前均采用平均归一化的方法以消除对环境的影响。构造三角形白化权重函数以计算测量值的灰色隶属度,通过阈值逆方法获得不同污染因子的程度,对采样数据进行灰色聚类评估,此外,在ArcGIS中应用了可视技术显示整个矿山环境质量状况。结果表明上述方法是合理有效的。不仅为矿区环境评估提供了一种新的方法,而且可以应用于其他矿区环境评估。

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