Research progress of on-line automatic monitoring of chemical oxygen demand (COD) of water

被引:7
作者
Cai, Youfa [1 ,2 ]
Fu, Xing [1 ]
Gao, Xiaolu [2 ]
Li, Lianyin [2 ]
机构
[1] Tianjin Univ, State Key Lab Precis Measurement Technol & Instru, Tianjin 300072, Peoples R China
[2] Beijing Instrument Ind Res Inst, 2014YQ090709, Beijing 100079, Peoples R China
来源
INTERNATIONAL CONFERENCE ON ENERGY ENGINEERING AND ENVIRONMENTAL PROTECTION (EEEP2017) | 2018年 / 121卷
关键词
SYSTEM;
D O I
10.1088/1755-1315/121/2/022039
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
With the increasingly stricter control of pollutant emission in China, the on-line automatic monitoring of water quality is particularly urgent. The chemical oxygen demand (COD) is a comprehensive index to measure the contamination caused by organic matters, and thus it is taken as one important index of energy-saving and emission reduction in China's "Twelve-Five" program. So far, the COD on-line automatic monitoring instrument has played an important role in the field of sewage monitoring. This paper reviews the existing methods to achieve on-line automatic monitoring of COD, and on the basis, points out the future trend of the COD on-line automatic monitoring instruments.
引用
收藏
页数:13
相关论文
共 40 条
[1]  
[Anonymous], 1989, GB11914 89 WATER QUA
[2]   Sensitive and Green Method for Determination of Chemical Oxygen Demand Using a Nano-copper Based Electrochemical Sensor [J].
Badr, Ibrahim H. A. ;
Hassan, Hamdy H. ;
Hamed, E. ;
Abdel-Aziz, Ali M. .
ELECTROANALYSIS, 2017, 29 (10) :2401-2409
[3]   Determination of chemical oxygen demand (COD) at boron-doped diamond (BDD) sensor by means of amperometric technique [J].
Bogdanowicz, R. ;
Czupryniak, J. ;
Gnyba, M. ;
Ryl, J. ;
Ossowski, T. ;
Sobaszek, M. ;
Darowicki, K. .
26TH EUROPEAN CONFERENCE ON SOLID-STATE TRANSDUCERS, EUROSENSOR 2012, 2012, 47 :1117-1120
[4]  
Cao B Q, 2015, HUBEI FORESTRY SCI T, V44, P36
[5]  
Dahlbacka J., 2014, SPECTR ANAL REV, V2, P19
[6]  
Guan S, 2002, SICHUAN ENV, V21, P24
[7]   Prediction of chemical oxygen demand (COD) based on wavelet decomposition and neural networks [J].
Hanbay, Davut ;
Turkoglu, Ibrahim ;
Demir, Yakup .
CLEAN-SOIL AIR WATER, 2007, 35 (03) :250-254
[8]  
He Jin-cheng, 2007, Journal of Zhejiang University, V41, P752
[9]  
Huia S U, 2011, CHINESE J SPECTROSCO, V28, P3040
[10]  
Li Dan, 2016, ELECTROOPTIC TECHNOL, V31, P80