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http://dx.doi.org/10.15681/KSWE.2014.30.2.159

Optimization of Vegetative Filter Strip using VFSMOD-w model and Genetic-Algorithm  

Park, Youn Shik (Department of Agricultural and Biological Engineering, Purdue University)
Hyun, Geunwoo (Gangwon-do Health and Environmental Institute)
Publication Information
Journal of Korean Society on Water Environment / v.30, no.2, 2014 , pp. 159-165 More about this Journal
Abstract
Vegetative Filter Strip (VFS) is one of effective Best Management Practices (BMPs) to prevent sediment-laden water problem, is installed at the edge of source area such agricultural area so that sediment occurred in source area is trapped by VFS before it flow into stream or river. Appropriate scale of it needs to be simulated before it is installed, considering various field conditions. In this study, a model using VFSMOD-w model and Genetic Algorithm to determine effective VFS length was developed, it is available to calibrate input parameter related to source area sediment yield through thousands of VFSMOD-w simulations. Useful DBs, moreover, are stored in the model so that very specific input parameters can be used with reasonable values. Compared simulated values to observed data values for calibration, R2 and Nash-Stucliffe model efficiency coefficient were 0.74 and 0.65 in flow comparison, and 0.89 and 0.79 in sediment comparison. The model determined 1.0 m of Filter Length, 0.18 of Filter Slope, and 0.2 cm of Filter Media Spacing to reduce 80% of sediment by VFS. The model has not only Auto-Calibration module also DBs for specific input parameters, thus, the model is expected to be used for effective VFS scale.
Keywords
Best management practices; Genetic algorithm; Sediment reduction; Vegetative filter strip; VFSMOD-w;
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