Vegetative Filter Strip (VFS) is one of Best Management Practices (BMPs) to preventsediment-laden water fl owing downstream. It is installed at the edge of source area to trapthe eroded soil before it fl ows into stream or river. The objective of this study is to developVFS designing model using VFSMOD-w as a core engine, which is available to calibratemodel parameters using Genetic-Algorithm and to determine effective VFS length consideringsource 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 valuesof 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 and0.789 in sediment comparison. Using calibrated parameters and stored data bases (DBs)
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