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http://dx.doi.org/10.5389/KSAE.2019.61.6.009

A Study on Regularization Methods to Evaluate the Sediment Trapping Efficiency of Vegetative Filter Strips  

Bae, JooHyun (Korea Water Environment Research Institute)
Han, Jeongho (Department of Regional Infrastructure Engineering, Kangwon National University)
Yang, Jae E (Department of Biological Environment, Kangwon National University)
Kim, Jonggun (Department of Regional Infrastructure Engineering, Kangwon National University)
Lim, Kyoung Jae (Department of Regional Infrastructure Engineering, Kangwon National University)
Jang, Won Seok (Sustainability Innovation Lab at Colorado (SILC), University of Colorado at Boulder)
Publication Information
Journal of The Korean Society of Agricultural Engineers / v.61, no.6, 2019 , pp. 9-19 More about this Journal
Abstract
Vegetative Filter Strip (VFS) is the best management practice which has been widely used to mitigate water pollutants from agricultural fields by alleviating runoff and sediment. This study was conducted to improve an equation for estimating sediment trapping efficiency of VFS using several different regularization methods (i.e., ordinary least squares analysis, LASSO, ridge regression analysis and elastic net). The four different regularization methods were employed to develop the sediment trapping efficiency equation of VFS. Each regularization method indicated high accuracy in estimating the sediment trapping efficiency of VFS. Among the four regularization methods, the ridge method showed the most accurate results according to $R^2$, RMSE and MAPE which were 0.94, 7.31% and 14.63%, respectively. The equation developed in this study can be applied in watershed-scale hydrological models in order to estimate the sediment trapping efficiency of VFS in agricultural fields for an effective watershed management in Korea.
Keywords
Elastic net; LASSO; regularization methods; ridge regression; vegetative filter strips;
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Times Cited By KSCI : 5  (Citation Analysis)
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