期刊
JOURNAL OF CHEMISTRY
卷 2013, 期 -, 页码 -出版社
HINDAWI LTD
DOI: 10.1155/2013/243769
关键词
-
资金
- MKE/KEIT [10037331]
- Korea Evaluation Institute of Industrial Technology (KEIT) [10037331] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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 (r = 0.78) and for the WWTP effluent (r = 0.90).
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