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文章摘要
城镇污水处理厂TOC与COD相关性分析及应用
Approach to Correlation and Application of the Online Monitoring TOC′s Data and COD′s Data of Urban Sewage Treatment Plants in Shanghai
  
DOI:
中文关键词: 城镇污水处理厂  TOC  COD  相关性分析  上海市
英文关键词: Urban sewage treatment plants  TOC  COD  Correlation analysis  Shanghai
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作者单位
钱瑾 上海市环境监测中心 
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中文摘要:
      通过在线TOC水质自动分析仪方法与实验室COD方法比对,建立TOC-COD一元线性回归方程,且将其应用到上海市44家污水处理厂出水中TOC与COD值的转换,并在污水处理厂进行在线TOC水质自动分析仪及在线COD水质自动分析仪监测值比对实验。结果表明,TOC-COD一元线性回归方程相关系数r为 0.963,废水中TOC与COD值线性显著相关,通过上述回归方程将在线TOC水质自动分析仪监测值转化COD监测值与在线COD水质自动仪监测值进行相对误差比较,88.4%的数据满足《水污染源在线监测系统安装技术规范(试行)》(HJ/T 355-2007)规范要求;用上述转换方程换算上海市44家污水处理厂TOC值得到的COD值与实验室COD值进行误差计算, 87.3%的数据满足上述规范要求,验证了在线TOC值转换COD值在污水行业的适用性。
英文摘要:
      By being compared of water quality automatic analyzer′s TOC method with laboratorial COD′s Method, A TOC COD′s linear regression equation was established and was put simultaneously into practice in the 44 urban sewage treatment plants in Shanghai for correlating the online monitoring′s TOC data of water quality automatic analyzer with the online monitoring′s COD data of automatic water quality analyzer there. It showed that the TOC COD′s correlation coefficient R of the linear regression equation was 0.963 and the linear correlation of TOC data with COD data in Sewage was remarkable.88.4% water quality automatic analyzer′s online TOC data, which were transformed into the COD′s data to compare with the online COD data of water quality automatic analyzer in the above regression equation, meet the HJ/T 355 2007 specification; transforming into COD data to calculate the absolute error with the laboratorial COD data by above regression equation, the TOC data of all 44 urban sewage treatment plants in Shanghai meet the HJ/T 355 2007 specification too, which thereby verifies online TOC data′s Applicability of COD data′s Conversion in Sewage treatment Industry.
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