Water for future (물과 미래)
- Volume 10 Issue 1
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- Pages.95-100
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- 1977
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- 1738-9488(pISSN)
Multiple Regression Analysis to Determine the Reservoir Classification in the Empirical Area-Reduction Method
경험적 면적감소법을 위한 저수지 분류에 관한 연구
Abstract
The empirical area-reduction method by W.M. Borland and C.R. Miller and its revised procedure by W.T. Moody were made of fitting the area and storage curves to the Van't Hul distributions. It should be noted that the reservoir is classified into one of the four standard types on the basis of the topographical feature of the reservoir in application of the method. In other words, this method did not take into account several considerafble factors affecting the mode of sediment deposition, but only the shape of the reservoir as a governign factor. This is why the method occasionally creates ambiguity in classification and accordingly leads to unexpected mode of deposition. This paper describes a generating an formula to decide the standard classification of four types Van's Hul distributions, taking into consideration quantitatively sediment-loss percent and capacity-inflow ratio as well as the shape of the reservoirs by multiple regression analysis using the least square method to get a better fit to the design curves. The result is expressed as
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