• Title/Summary/Keyword: Vegetable Filter Strip (VFS)

Search Result 1, Processing Time 0.014 seconds

Analysis of Suspended Solids Reduction by Vegetative Filter Strip for Cultivated Area Using Web GIS-Based VFSMOD (VFSMOD를 이용한 경작지의 고형물질 유출 저감효과)

  • Ahn, Jae Hwan;Yun, Sang Leen;Kim, Seog Ku;Park, Youn Shik;Lim, Kyoung Jae
    • Journal of Korean Society of Environmental Engineers
    • /
    • v.34 no.12
    • /
    • pp.792-800
    • /
    • 2012
  • The study was performed to simulate the reduction efficiency of suspended solids (SS) for cultivated land located at riverine area at the Namhan River and the Bukhan River watershed sites (site A, B, C) under the rainfall conditions using HUFF & SCS UH-based VFS Design module of Web GIS-based VFSMOD System. The study indicates that the field 5% sloped, located at Bukhan River watershed (site A), requires at least 0.5 m width of Vegetative Filter Strip (VFS) to reduce 70% of SS while the field 10% sloped requires the at least 1.0~1.5 m width of VFS to reduce 70% SS, under the condition 106.2 mm of rainfall event and bell pepper or corn of crops. Against the conditions 95.1 mm of rainfall event and sweet potato or soy bean of crops, the field 5% sloped, located at Namhan River watershed (site B) requires at least 0.5 m width of VFS to reduce 70% of SS while the field 10% sloped requires at least 1.0 m width of VFS to reduce 50% SS. The crops sweet potato and soy bean are cultivated in the site C, located at Namhan River watershed, 1 m of VFS is capable of 64.0% and 62.0% of SS reduction against 102.6 mm and 151.2 mm rainfall conditions respectively, for the 5% sloped field. The result supports that VFS is one of most potential methods to reduce SS from cultivated area, which is environment-friendly hydrologic structure. The VFS design, however, needs to be simulated before its installation in the field, the simulation needs to consider not only various characteristics of the field but also different conditions affecting the VFS, using a model capable to consider a lot of factors.