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http://dx.doi.org/10.5322/JESI.2016.25.7.1007

Characteristics of Storm Runoff and Analysis of Its Correlation with Forest Properties  

Chung, WooJin (Department of Environmental Energy Engineering, Graduate School of Kyonggi University)
Chang, SoonWoong (Department of Environmental Energy Engineering of Kyonggi University)
Publication Information
Journal of Environmental Science International / v.25, no.7, 2016 , pp. 1007-1016 More about this Journal
Abstract
Environmental policy implementation has been strengthened to protect the source waters in Korea and to improve their water quality. Increasing of non-point source caused water quality problem continuously. Research on runoff from forests, which occupy over 65% of the land in korea, is insufficient, and studies on the characteristics and influences of storm runoff are necessary. In this study, we chose to compare the effects of land use in the form of two types of forest distribution and then gathered data on storm characteristics and runoff properties during rainfall events in these areas. Furthermore, the significance and influences of the discharges were analyzed through correlation analysis, and multilateral runoff characteristics were examined by deducing a formula through $COD_{Mn}$ and TOC regression analysis. At two forest points, for which the basin areas differed from each other, flow changed according to storm quantity and intensity. The peak discharge at point A, where the basin area was big, was high, whereas water-quality fundamental items (BOD, $COD_{Mn}$, and SS) and TOC density were high at point B where the slope and storm intensity were high. Effects of dissolved organic matter were determined through correlation analysis, and the regression formulas for $COD_{Mn}$ and TOC were deduced by regression analysis. It is expected that the data from this study could be useful as basic information in establishing forest management measures.
Keywords
Forest runoff; Hydrological irrigation; Runoff characteristics; Event mean concentration; Correlation analysis;
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Times Cited By KSCI : 8  (Citation Analysis)
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