Water Quality Level Model Using the Discriminant Analysis for the Small Streams of Rural Area in the Han River Watersheds
2008
Choi, C.M. (National Institute of Agricultural Science and Technology, RDA, Suwon, Republic of Korea), E-mail: [email protected] | Lee, J.S. (National Institute of Agricultural Science and Technology, RDA, Suwon, Republic of Korea), E-mail: [email protected] | Cho, N.J. (National Institute of Agricultural Science and Technology, RDA, Suwon, Republic of Korea) | Ryu, H.Y. (National Institute of Agricultural Science and Technology, RDA, Suwon, Republic of Korea) | Park, S.J. (National Institute of Agricultural Science and Technology, RDA, Suwon, Republic of Korea) | Kim, J.H. (National Institute of Agricultural Science and Technology, RDA, Suwon, Republic of Korea) | Yun, S.G. (National Institute of Agricultural Science and Technology, RDA, Suwon, Republic of Korea) | Lee, J.T. (National Institute of Agricultural Science and Technology, RDA, Suwon, Republic of Korea)
The main purpose of this work is the development of water quality level model using the data such as DO, EC, BOD, COD∧Cr, NH₃-N, NO₃-N, PO₄-P, T-N, T-P, and SS in 88 agricultural streams of the Han river watersheds. To grant water quality level for each parameters, it divided into 20% respectively in the order of water quality level. On the basis of the lowest water quality level, water quality of streams was assigned. As the result, number of stream corresponding to Level Ⅰ was 0, Level Ⅱ was 1 stream, Level Ⅲ was 3 streams, Level Ⅳ was 22 streams, and Level Ⅴ was 62 streams. By standardized canonical discriminant function coefficient, NO₃-N was the highest in 0.427 at the discriminant power. According to discriminant function for water quality level, it was equal to -4.648 + 3.246 × [NO₃-N], -5.084 + 3.456 × [NO₃-N], -4.298 + 3.067 × [NO₃-N], and -7.369 + 4.396 × [NO₃-N] from Level Ⅱ to Level Ⅴ, respectively. As a result of test at real data of the Han river watersheds in 2007, the suitability of water quality level model was high to 88.4%.
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