Groundwater and surface-water contamination susceptibility determination through automated geospatial models using combined modeling approach of DRASTIC and RUSLE

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  • Authors: Reeves, Zach; Panda, Sudhanshu S.; Pilgrim, Zach; Quyang, Ying; Grace, Johnny M. II; Amatya, Devendra M.
  • Publication Year: 2022
  • Publication Series: Proceedings - Paper (PR-P)
  • Source: General Technical REport 264, Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station
  • Citation: Reeves, Zach; Panda, Sudhanshu S.; Pilgrim, Zach; Quyang, Ying; Grace, Johnny M. III; Amatya, Devendra M. 2022. Groundwater and surface-water contamination susceptibility determination through automated geospatial models using combined modeling approach of DRASTIC and RUSLE. Gen. Tech. Rep. SRS–264. Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station. 163 p.
  • Posted Date: June 16, 2022
  • Modified Date: June 24, 2022

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