The Determination of Chemical Oxygen Demand Using Direct Ultra-voilet absorbance
Chemical oxygen demand (COD) is one of the most important parameters of water quality monitoring, it represents the universal content of organic matters in a given water body. This paper presents a rapid measuring instrument that can be directly thrown into water. By using optical spectrum scanning method, it is capable of monitoring COD changes and with virtue of no any reagent, no time delay, and no secondary pollution. With the help of an embedded microcomputer system collecting data real-timely and a wireless module transporting the data, the instrument can calculate the ultraviolet absorbance in the range of 200nm to 720nm. Back propagation (BP) neural network was employed to establish mathematical model between ultraviolet absorbance and COD. Finally, the model was tested successfully over a set of 23 water samples of standard COD solutions and it was shown that the estimated values of COD were in great agreement with the observed COD values, which made it suitable for accurate, real-time, online monitoring of COD levels.
chemical oxygen demand spectrum scanning ultraviolet absorbance artificial neural networks
Zhao Youquan Liu Ziyu Wang Huimin Li Yuchun Fang Yanjun
The College of Precision Instrument and Opto-Electronics Engineering,Tianjin University,300072,China The Academy of Military Medical Sciences,Tianjin,300050,China
国际会议
厦门
英文
1102-1108
2010-05-22（万方平台首次上网日期，不代表论文的发表时间）