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Journal of Chemistry
Volume 2013 (2013), Article ID 243769, 9 pages
Research Article

Estimation of Biochemical Oxygen Demand Based on Dissolved Organic Carbon, UV Absorption, and Fluorescence Measurements

1Century Technology Company, Ansan 426-901, Republic of Korea
2Department of Environmental Engineering, University of Seoul, Seoul 130-743, Republic of Korea

Received 10 September 2012; Revised 7 November 2012; Accepted 7 November 2012

Academic Editor: Mohammad A. Al-Ghouti

Copyright © 2013 Jihyun Kwak et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Determination of 5-d biochemical oxygen demand (BOD5) is the most commonly practiced test to assess the water quality of surface waters and the waste loading. However, BOD5 is not a good parameter for the control of water or wastewater treatment processes because of its long test period. It is very difficult to produce consistent and reliable BOD5 results without using careful laboratory quality control practices. This study was performed to develop software sensors to predict the BOD5 of river water and wastewater. The software sensors were based on the multiple regression analysis using the dissolved organic carbon (DOC) concentration, UV light absorbance at 254 nm, and synchronous fluorescence spectra. River water samples and wastewater treatment plant (WWTP) effluents were collected at 1-hour interval to evaluate the feasibility of the software sensors. In short, the software sensors developed in this study could well predict the BOD5 of river water ( ) and for the WWTP effluent ( ).