[an error occurred while processing this directive] ������� 2015, 34(4) 1131-1139 DOI:     ISSN: 1004-5589 CN: 22-1111/P

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PubMed
Article by Zhang, H. Y.
Article by Wang, X. M.
Article by Chen, C. Y.
Article by Sun, C.
Article by Wang, Y. L.
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1. ������ҵ��ѧ ������ѧѧԺ������ 130012; 2. ����ʡ���ʻ��������վ������ 130021
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����ij�ȵ糧���ҳ�ģ�⽵ˮ 30 mm��50 mm��100 mm �� 150 mm ���������ݣ�����ͳ�Ʒ���������ͬ��ˮǿ���·�ú�����Ž�ˮ��͸�����µ���ȣ���ȷ�����ֽ�ˮ���������ҳ�����Һ�Ƿ��ܹ��ﵽ��ˮ�㣬��ɵ���ˮ��Ⱦ����������ͼֱ���˽ⲻͬ��ˮ���º�ˮ�����������Ա仯��������ȣ���һ��ʹ���Ⱥͼ��鷽�������ñ���ֵ�뽵ˮӰ�����������������ˮ����ֵ���бȽϷ���������������� 0. 1 ������ˮƽ�£���ȾҺ���ܴﵽ��ˮ�㡣

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Statistical analysis on seepage depth of dry ash
ZHANG Hai-Yan, WANG Xin-Min, CHEN Chu-Yu, SUN Chun, WANG Yan-Liang
1. Changchun University of Technology��Changchun 130012��China; 2. Geo- Environment Monitoring Station of Jilin Province��Changchun 130021��China
Abstract:

In order to make sure whether ash seepage liquid under different precipitation can reach aquiclude and pollute groundwater��based on the test data under simulated precipitation of 30mm��50mm��100mm and 150mm of an ash disposal area in a thermal power plant��we applied statistical methods to analyze the pollution depth of dry ash under different precipitation�� Firstly��the soil thickness of significant change of soil water content can be learned under different precipitation by boxplot�� Moreover��the method of rank sum test is applied to com- pare the difference between background numerical value and soil water content under different precipitation�� The results imply that polluted liquid can not immerge in groundwater on the significant level of 0. 1��

Keywords: dry ash disposal area   rank sum   boxplot   precipitation   background numerical value  
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