Relationships between water quality parameters in rivers and lakes: BOD5, COD, NBOPs, and TOC
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Biological oxygen demand (BOD5) or chemical oxygen demand (COD) analysis is widely used to evaluate organic pollutants in water systems as well as the efficiency of wastewater treatment plants. However, both analysis methods have restrictions such as being insensitive, imprecise, time-consuming, and the production of chemical waste. Therefore, total organic carbon (TOC) analysis for organic pollutants has been considered for an alternative analysis instead of BOD5 or COD. Several studies have investigated the replacement of BOD5 or COD with TOC in wastewater samples; however, few studies have investigated the relationships between water quality parameters in rivers and lakes. Therefore, this study evaluated the relationships between BOD5, COD, or NBOPs and TOC by the analysis of national water quality monitoring data of rivers and lakes for 5 years. High correlation coefficients (r) of 0.87 and 0.66 between BOD5 and TOC (p < 0.05) were obtained for rivers and lakes, respectively, and strong correlation coefficients (r) of 0.93 and 0.75 were observed between COD and TOC (p < 0.05) for rivers and lakes, respectively. The correlation coefficient (r) between NBOPs and TOC was 0.93 for rivers and 0.72 for lakes. The coefficients of determination (R 2) were 0.75 and 0.44 between BOD5 and TOC for rivers and lakes as well as were 0.87 and 0.57 between COD and TOC for rivers and lakes, respectively. The coefficient of determination (R 2) between NBOPs and TOC was 0.73 for rivers and 0.52 for lakes.
KeywordsRelationship Rivers and lakes TOC BOD5 COD NBOPs
This research was fundamentally supported by a project grant in the National Institute of Environmental Research, South Korea in 2014.
- Gwaski, P. A., Hati, S. S., Ndahi, N. P., & Ogugbuaja, V. O. (2013). Modelling parameters of oxygen demand in the aquatic environment of lake had for depletion estimation. Journal of Science and Technology, 3(1), 116–123.Google Scholar
- Kim, J., Shin, M., Jang, C., Jung, S., & Kim, B. (2007). Comparison of TOC and DOC distribution and the oxidation efficiency of BOD and COD in several reservoirs and rivers in the Han River systems. Journal of Korean Society on Water Quality, 23(1), 72–80.Google Scholar
- Kolpin, D. W., Furlong, E. T., Meyer, M. T., Thurman, E. M., Zaugg, S. D., Barber, L. B., et al. (2002). Pharmaceuticals, hormones, and other organic wastewater contaminants in US streams, 1999–2000: a national reconnaissance. Environmental Science & Technology, 36(6), 1202–1211.CrossRefGoogle Scholar
- Maier, W. J., & McConnell, H. L. (1974). Carbon measurements in water quality monitoring. Journal Water Pollution Control Federation, 623–633.Google Scholar
- Metcalf, E. (2003). Inc., wastewater engineering, treatment and reuse. New York: McGraw-Hill.Google Scholar
- Waziri, M., & Ogugbuaja, V. (2010). Interrelationship between physicochemical water pollution indicators: a case study of River Yobe-Nigeria. American Journal of Scientific and Industrial Research, 1(1), 76–80.Google Scholar