Vegetative Filter Strip (VFS) is one of Best Management Practices (BMPs) to prevent sediment-laden water fl owing downstream. It is installed at the edge of source area to trap the eroded soil before it fl ows into stream or river. The objective of this study is to develop VFS designing model using VFSMOD-w as a core engine, which is available to calibrate model parameters using Genetic-Algorithm and to determine effective VFS length considering source area reduction by VFS installation. The model was applied to small fi eld in South- Korea. Genetic Algorithm-based Auto-calibration module estimated that the optimum values of parameters are 71.50, 0.7552, and 0.2543 for CN, USLE P factor, and USLE C factor, respectively. In comparing the simulated values with the observed data, the R2 and Nash- Stucliffe model effi ciency coeffi cient were 0.739 and 0.654 in fl ow comparison, and 0.891 and 0.789 in sediment comparison. Using calibrated parameters and stored data bases (DBs)
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