一种在线式水体化学需氧量检测系统设计
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摘要
化学需氧量(COD)是水体有机污染物的代表性参数,也是水质检测中一个必测指标。紫外吸收光谱法测定水体COD具有实时、在线检测等优点。基于此技术,设计开发了一套自动采样、在线式检测水体COD系统。通过国家标准规定的水体COD测量实验,确定紫外最大特征吸收波长为281nm,特征吸收波长区域峰面积与水体COD之间的线性度R2达到0.9853,并通过实际预测待测溶液的COD含量,结果表明相对误差小于6%。实验结果表明该系统具有原位、在线、无污染检测等优点,满足水体COD在线检测要求。
Chemical Oxygen Demand(COD) is a representative parameter of organic pollutants in water, and it is also one of the indispensable indicators in water quality detection. UV absorption spectroscopy for the determination of COD in water has the advantages of real-time and on-line detection. Based on this technology, a set of automatic sampling and on-line detection system for COD was developed. According to the water COD measurement experiment specified by the national standard, the maximum absorption wavelength of UV was 281 nm, the linearity R2 between the peak area of the characteristic absorption wavelength area and the water COD was up to 0.9853, and through the actual prediction of the COD content of the tested solution, the results showed that the relative error was less than 6%. The experimental results showed that the system had the advantages of in-situ, on-line and non-pollution detection, and met the requirements of water COD online detection.
Chemical Oxygen Demand(COD) is a representative parameter of organic pollutants in water, and it is also one of the indispensable indicators in water quality detection. UV absorption spectroscopy for the determination of COD in water has the advantages of real-time and on-line detection. Based on this technology, a set of automatic sampling and on-line detection system for COD was developed. According to the water COD measurement experiment specified by the national standard, the maximum absorption wavelength of UV was 281 nm, the linearity R2 between the peak area of the characteristic absorption wavelength area and the water COD was up to 0.9853, and through the actual prediction of the COD content of the tested solution, the results showed that the relative error was less than 6%. The experimental results showed that the system had the advantages of in-situ, on-line and non-pollution detection, and met the requirements of water COD online detection.
引文
[1]郑青,韩海波,周保学,等.化学需氧量(COD)快速测定新方法研究进展[J].科学通报,2009(21):3241-3250.
[2]罗国兵.水体化学需氧量的检测方法[J].岩矿测试,2013,32(6):860-874.(下转第30页)
[3]孙继洋,王晓萍,宓云軿.基于紫外吸收原理的在线水质COD测量仪设计[J].光学仪器,2006,28(2):76-79.
[4]李茜楠,祁欣.可见分光光度计及化学需氧量检测系统的研究[J].电子测量技术,2015(8):113-118.
[5]Fogelman S,Zhao H,Blumenstein M.A rapid analytical method for predicting the oxygen demand of wastewater[J].Analytical&Bioanalytical Chemistry.2006,386(6):1773-1779.
[6]Cao H,Qu W,Yang X.A rapid determination method for chemical oxygen demand in aquaculture wastewater using the ultraviolet absorbance spectrum and chemometrics[J].Analytical Methods.2014,6(11):3799-3803.
[7]Khorassani H E,Trebuchon P,Bitar H,et al.A simple UVspectrophotometry procedure for the survey of industrial sewage system[J].Water Science&Technology.1999,39(10):77-82.
[8]赵友全,王慧敏,刘子毓,等.基于紫外光谱法的水质化学需氧量在线检测技术[J].仪器仪表学报,2010,31(9):1927-1932.
[9]刘子毓.紫外法水质COD检测的理论与实验研究[D].天津:天津大学,2010.
[2]罗国兵.水体化学需氧量的检测方法[J].岩矿测试,2013,32(6):860-874.(下转第30页)
[3]孙继洋,王晓萍,宓云軿.基于紫外吸收原理的在线水质COD测量仪设计[J].光学仪器,2006,28(2):76-79.
[4]李茜楠,祁欣.可见分光光度计及化学需氧量检测系统的研究[J].电子测量技术,2015(8):113-118.
[5]Fogelman S,Zhao H,Blumenstein M.A rapid analytical method for predicting the oxygen demand of wastewater[J].Analytical&Bioanalytical Chemistry.2006,386(6):1773-1779.
[6]Cao H,Qu W,Yang X.A rapid determination method for chemical oxygen demand in aquaculture wastewater using the ultraviolet absorbance spectrum and chemometrics[J].Analytical Methods.2014,6(11):3799-3803.
[7]Khorassani H E,Trebuchon P,Bitar H,et al.A simple UVspectrophotometry procedure for the survey of industrial sewage system[J].Water Science&Technology.1999,39(10):77-82.
[8]赵友全,王慧敏,刘子毓,等.基于紫外光谱法的水质化学需氧量在线检测技术[J].仪器仪表学报,2010,31(9):1927-1932.
[9]刘子毓.紫外法水质COD检测的理论与实验研究[D].天津:天津大学,2010.