【摘要】 为准确评价地下水污染质空间分布,本文以长春地区地下水重要组分NO₃^-为例,利用统计学的熵—矩检验法对长春地区2008年56个水质采样点的检测数据的概率分布进行了检验,得出数据不服从正态分布的结论.在此基础上,选择不要求总体服从正态分布的非参数Kruskal-Wallis检验方法对长春地区所属的各个行政子区域地下水中的NO₃^-质量浓度的差异性进行了检验,发现7个区域中城区、环城、双阳之间NO₃^-质量浓度没有显著性差异,而与其它4个子区域地下水中的NO₃^-质量浓度存在显著性差异,从而按照各个子区域之间的差异性分区绘制了NO₃^-的单项评价等值线图.结果表明在多样本比较的基础上分区绘制等值线的方法能够反映出多因素作用下地下水污染质空间分布的差异性.更多还原

【Abstract】 To exactly assess the spatial distribution ofduoyinsu groundwater contaminants,in this paper,we take the important component of groundwater,NO₃^- as example and test with the Entropy-moment Method in statistics the probability distribution of the data collected in 2008 from the 56 groundwater sample points in Changchun area. We conclude that the data don’t obey the normal distribution.Based on this,we choose in this paper the nonparametric Kruskal-Wallis Method,which doesn’t require population to obey the normal distribution,to test the difference of mass concentration of NO₃^- in the groundwater of sub-regions in Changchun and conclude that the mass concentration of NO₃ in city area and around and in Shuangyang,among the seven regions tested,isn’t quite different but is obviously different from that of the rest four sub-regions.Thus,we draw contour maps of NO₃ regionally for uni-parameter evealuation according to the difference among the studied sub-regions.The results suggest the method of drawing regional contour maps,based on the comparison among multiple samples,can reflect the difference of the spatial distribution of groundwater contaminants under the influence of multiple factors.更多还原