Browse > Article

Characteristics of Probability Distribution of BOD Concentration in Anseong Stream Watershed  

Kim, Kyung Sub (Department of Environmental Engineering, Hankyong National University)
Ahn, Taejin (Department of Civil Engineering, Hankyong National University)
Publication Information
Abstract
It is very important to know the probability distribution of water-quality constituents for water-quality control and management of rivers and reservoirs effectively. The probability distribution of BOD in Anseong Stream was analyzed in this paper using Kolmogorov-Smirnov test which is widely used goodness-of-fit method. It was known that the distribution of BOD in Anseong Stream is closer to Log-normal, Gamma and Weibull distributions than Normal distribution. Normal distribution can be partially applied depending on significance level, but Log-normal, Gamma and Weibull distributions can be used in any significance level. Also the estimated Log-normal distribution of BOD at Jinwi3 station was to be compared with the measured in 2001, 2002 and 2003 years. It was revealed that the estimated probability distribution of BOD at Jinwi3 follows a theoretical distribution very well. The applicable probability distribution of BOD can be used to explain more rigorously and scientifically the achievement or violation of target concentration in TMDL(Total Maximum Daily Load).
Keywords
Anseong stream; BOD; Kolmogorov-smirnov; Log-normal distribution; Probability distribution;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Brown, L. C. and Barnwell, Jr. T. O. (1987). The Enhanced stream water quality models QUAL2E and QUAL2EUNCAS: documentation and user manual. EPA/600/3-87/007, USEPA, Envir. Res. Lab., Athens, G.A
2 Chapra, S. C. (1997). Surface water-quality modeling. McGraw-Hill, New York, N.Y
3 Han, K-Y., Kim, S-H. and Bae, D-H. (2001). Stochastic water quality analysis using reliability method. Journal of the American Water Resources Association, 37(3), pp. 695-708   DOI   ScienceOn
4 Melching C. S. (1992). Improved first-order uncertainty method for water-quality modeling. Journal of Environmental Engineering, ASCE, 118(5), pp. 791-805   DOI
5 Tung, Y-K. and Hathhorn W. E. (1988). Assessment of probability distribution of dissolved oxygen deficit. Journal of Environmental Engineering, ASCE, 114(6), pp. 1421-1435   DOI
6 환경부. (2007). 수질측정망 운영계획
7 Reckhow, K. H., Clements, J. T. and Dodd, R. C. (1990). Statistical evaluation of mechanistic water-quality models. Journal of Environmental Engineering, ASCE, 116(2), pp. 250-268   DOI
8 Ang, A. H-S. and Tang, W. H. (2007). Probability concepts in engineering : emphasis on applications to civil and environmental engineering, 2nd ed., John Wiley & Sons, New York, N.Y
9 Melching, C. S. and Yoon, C. G. (1996). Key sources of uncertainty in QUAL2E model of Passaic river. Journal of Water Resources Planning and Management, ASCE, 122(2), pp. 105-113   DOI
10 건설교통부. 한강홍수통제소. http://www.hrfco.go.kr
11 Franceschini, S. and Tsai, C. W. (2008). Incorporating reliability into the definition of the margin of safety in total maximum daily load calculations. Journal of Water Resources Planning and Management, ASCE, 134(1), pp. 34-44   DOI   ScienceOn
12 Di Toro, D. M. (1984). Probability model of stream quality due to runoff. Journal of Environmental Engineering, ASCE, 110(3), pp. 607-628   DOI   ScienceOn