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作 者:甘宇[1] 殷实[1] 王辉[1] 王英刚[1] 孙丽娜[1] 王晓旭[1] 吴昊[1] GAN Yu YIN Shi WANG Hui WANG Ying-gang SUN Li-na WANG Xiao -xu WU Hao(Key Laboratory of Regional Environment and Eco-remediation , Ministry of Education, Shenyang University, Shenyang, Liaoning 110044 , China)
机构地区:[1]沈阳大学区域污染环境生态修复教育部重点实验室,辽宁沈阳110044
出 处:《环境监测管理与技术》2017年第3期8-12,共5页The Administration and Technique of Environmental Monitoring
基 金:国家科技重大专项基金资助项目(2012ZX07202-004);沈阳市科技计划基金资助项目(F14-133-9-00);沈阳市科学事业竞争性选择项目"城市生态环境风险管理及其修复技术研究"基金资助项目;沈阳大学特色专业建设基金资助项目
摘 要:在物元分析的基础上,引入各监测断面到其所在类别的重心距离,构建了一种定量的监测断面优化方法。以2009年1月—2010年12月辽河干流水环境监测数据为基础,对辽河干流水质监测断面进行优化,并采用T检验、F检验和相邻断面监测数据相关性对优化结果验证。结果表明,使用改进的物元分析法优化后,辽河干流监测断面减少为6个,监测效率提高了25%。在优化后的监测断面与在原监测断面监测获得的数据均值无显著差异、方差齐,而且经过优化后的断面重复布设情况得到显著改善,水质监测断面合理性显著增强。Base on mat ter element analysis and centroid distance method, and the data of water quality from Jan. 2009 to Dec. 2010, a quantification approach for optimizing water quality monitoring section in the main-stream of Liaohe River was established in this paper, r-test, F-test and the correlation between adjacent sections were performed in both un-optimized monitoring networks and optimized monitoring networks to examine the accu-racy and rationality of the optimization results. The results showed that the number of monitoring sections were reduced from 8 to 6 , and the efficiency of the monitoring network was increased by 25% . Compared with the o-riginal monitoring sections, the data from optimized monitoring sections had no significant difference, and the monitoring sections by repeated setting were eliminated.
分 类 号:X830.1[环境科学与工程—环境工程]
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