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http://dx.doi.org/10.3741/JKWRA.2012.45.10.1023

Design Flood Estimation for Pyeongchang River Basin Using Fuzzy Regression Method  

Yi, Jaeeung (Div. of Environ., Const. and Trnst., Engrg., Ajou Univ.)
Kim, Seungjoo (Disaster Prevention Safety Institute, Inc.)
Lee, Taegeun (Dept. of Civil & Trnst. Engrg., Ajou Univ.)
Ji, Jungwon (Dept. of Civil & Trnst. Engrg., Ajou Univ.)
Publication Information
Journal of Korea Water Resources Association / v.45, no.10, 2012 , pp. 1023-1034 More about this Journal
Abstract
Linear regression technique has been used widely in water resources field as well as various fields such as economics and statistics, and so on. Using fuzzy regression technique, it is possible to quantify uncertainty and reflect them to the regression model. In this study, fuzzy regression model is developed to compute design floods in any place in Pyeongchang River basin. In ungaged basins, it is usually difficult to obtain data required for flood discharge analysis. In this study, basin characteristics elements are analyzed spatially using GIS and the technique of estimating design flood in ungaged mountainous basin is studied based on the result. Fuzzy regression technique is applied to Pyeongchang River basin which has mountainous basin characteristics and well collected rainfall and runoff data through IHP test basin project. Fuzzy design flood estimation equations are developed using the basin characteristics elements for Pyeongchang River basin. The suitability of developed fuzzy equations are examined by comparing the results with design floods computed in 9 locations along the river. Using regional regression method and fuzzy regression analysis, the uncertainties of the design floods occurred from the data monitoring can be quantified.
Keywords
fuzzy regression; mountainous basin; GIS; design floods;
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Times Cited By KSCI : 1  (Citation Analysis)
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