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Development of Regression Equation for Water Quantity Estimation in a Tidal River  

Lee, Sang Jin (Korea Institute of Water and Environment, Korea Water Resources Corporation)
Ryoo, Kyong Sik (Korea Institute of Water and Environment, Korea Water Resources Corporation)
Lee, Bae Sung (Korea Institute of Water and Environment, Korea Water Resources Corporation)
Yoon, Jong Su (Nakdong River Environment Research Center, National Institute of Environmental Research)
Publication Information
Journal of Korean Society on Water Environment / v.23, no.3, 2007 , pp. 385-390 More about this Journal
Abstract
Reliable flow measurement for dry season is very important to set up the in-stream flow exactly and total maximum daily load control program in the basin. Especially, in the points which tidal current effects are dominant because reliability of the low measurement decrease. The reliable measuring methods are needed. In this study, we analysis the water surface elevation difference of water surface elevation. Quantity relationship to consider tidal currents in these regions. It is known that tidal current effects from Nakdong river barrage are dominant in Samrangjin measuring station. We developed multiple regression equation with water surface elevation, quantity, and difference of water surface elevation and compared these results water measured rating curve. All of these regression equation including linear regression equation and log regression equation fits better measured data them existing water surface elevation quantity line and Among three equations, the log regression equation is best to represent the measured the rating curve in Samrangjin point. The log regression equation is useful method to obtain the quantity in the regions which tidal currents are dominant.
Keywords
Multiple regression analysis; Rating curve; River maintenance flow; Tidal river; Total load control program (TLCP);
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