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http://dx.doi.org/10.3741/JKWRA.2020.53.3.215

Model development for the estimation of specific degradation using classification and prediction of data mining  

Jang, Eun-kyung (Department of Land, Water and Environment Research, Korea Institute of Civil Engineering and Building Technology)
Kang, Woochul (Department of Land, Water and Environment Research, Korea Institute of Civil Engineering and Building Technology)
Publication Information
Journal of Korea Water Resources Association / v.53, no.3, 2020 , pp. 215-223 More about this Journal
Abstract
The objective of this study is to develop a prediction model of specific degradation using data mining classification especially for the rivers in South Korea river. A number of critical predictors such as erosion and sediment transport were extracted for the prediction model considering watershed morphometric characteristics, rainfall, land cover, land use, and bed material. The suggested model includes the elevations at the mid relative area of the hypsometric curve of watershed morphomeric characteristics, the urbanization ratio, and the wetland and water ratio of land cover factors as the condition factors. The proposed model describes well the measured specific degradation of the rivers in South Korea. In addition, the development model was compared with the existing models, since the existing models based on different conditions and purposes show low predictability, they have a limit about the application of Korean River. Therefore, this study is focusing on improving the applicability of the existing model
Keywords
Data mining; Factors extraction; Model development; Specific degradation; Watershed;
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