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Evaluation of mine environmental quality based on grey clustering analysis

机译:基于灰聚类分析的矿井环境质量评价

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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(GCA),山西省煤炭开采地区的环境质量作为一个灰色系统,被GCA.In为了定量地评价矿区环境质量评价,一个GCA模型已经建立了基于该环境质量根据国家环境质量standards.As监测12monitoring站的数据在2012年和11个主要污染物评估指标有不同的值和单位,平均归一化的方法,是为了在应用之前通过的原始数据,以消除产生的影响dimensions.The三角形白化权函数构建来计算不同污染的因素测量values.The度的灰色籍由阈值用于逆采样data.In除了进行method.The灰色聚类评价得到,在ArcGIS视觉技术应用于显示整个矿山环境质量status.The研究结果表明,上述方法是合理和effective.Furthermore,它不仅能提供环境评估的新方法,挖掘区域,而且还可以应用于其他矿区的环境评估。

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