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poster - International Conference of Agricultural Engineering

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FIGURE 2 shows the SS and Turbidity variations <strong>of</strong> Seokji stream. The variations were<br />

divided into irrigation and non-irrigation periods to analyze the changes in water quality to the<br />

differences in the flow. The pollutant concentrations regarding COD, TOC, and Turbidity <strong>of</strong><br />

the non-irrigation periods were slightly higher than the pollutant concentrations <strong>of</strong> the<br />

irrigation periods in the Hai reservoir. The pollutant concentrations <strong>of</strong> the regarding SS, COD,<br />

COD, TOC, Turbidity, T-N, and T-P <strong>of</strong> the non-irrigation periods were higher than the<br />

pollutant concentrations <strong>of</strong> the irrigation periods in the Seokji stream. The contaminant<br />

concentrations decreased nearer downstream. However, at the last station, there was a<br />

showing <strong>of</strong> an increase in concentration. This phenomenon was judged to be from the effects<br />

<strong>of</strong> ambient pollutants, like incinerated waste. The concentrations <strong>of</strong> SS were almost<br />

immeasurable during the non-irrigation periods. However, the concentrations <strong>of</strong> SS were<br />

judged to be high due to the inflow <strong>of</strong> ambient pollutants during the irrigation periods.<br />

FIGURE 2 SS and Turbidity variations for irrigation and non-irrigation periods <strong>of</strong> Seokji stream<br />

3.3 Correlation Analysis between Water Quality Parameters<br />

The correlation <strong>of</strong> water quality items from the reservoir and stream studies were analyzed<br />

using the water quality data obtained in July. Water quality was the independent variable and<br />

the control variable was the flow. In the case <strong>of</strong> the station located 530 m <strong>of</strong> Seokji stream,<br />

the correlation coefficients between SS and T-P, and TOC and Turbidity were shown to be<br />

0.925 and 0.960, respectively at a 0.01 level <strong>of</strong> significance. The correlation coefficients<br />

between COD and TOC, SS and TOC, SS and Turbidity, and TOC and T-P were shown to<br />

be 0.865, 0.854, 0.856, and 0.836, respectively at a 0.05 level <strong>of</strong> significance (TABLE 4). In<br />

the case <strong>of</strong> the station located 750 m <strong>of</strong> Bonghyeon stream, the correlation coefficient<br />

between COD and TOC was shown to be 0.887 at a 0.05 level <strong>of</strong> significance. At the station<br />

located 1,260 m <strong>of</strong> Bonghyeon stream, the correlation coefficients between the pH and COD,<br />

the pH and TOC, BOD and T-N, and COD and TOC were shown to be 0.920, 0.930, 0.938,<br />

and 0.932, respectively at a 0.01 level <strong>of</strong> significance. The correlation coefficients between<br />

the pH and T-P, BOD and COD, BOD and T-P, COD and T-P, TOC and T-P were shown to<br />

be 0.813, 0.814, 0.822, 0.866, and 0.818, respectively at a 0.05 level <strong>of</strong> significance (TABLE<br />

5).<br />

TABLE 4 Correlation analysis <strong>of</strong> water quality data at Seokji stream (530 m)<br />

pH BOD COD SS TOC Turbidity T-P T-N<br />

pH 1.000 0.649 0.672 0.294 0.631 0.578 0.229 0.535<br />

BOD 1.000 0.594 0.777 0.743 0.777 0.534 0.467<br />

COD 1.000 0.571 0.865 * 0.744 0.530 0.449<br />

SS 1.000 0.854 * 0.856 * 0.925 ** -0.069<br />

TOC 1.000 0.960 ** 0.836 * 0.188<br />

Turbidity 1.000 0.800 0.238<br />

T-P 1.000 -0.343<br />

T-N 1.000<br />

* p

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