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

Author(s):

Zach Reeves
Sudhanshu S. Panda
Zach Pilgrim

Year:

2022

Publication type:

Proceedings - Paper (PR-P)

Primary Station(s):

Southern Research Station

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.

Publication Notes

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  • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
https://www.fs.usda.gov/treesearch/pubs/64451