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

Zach Reeves; Sudhanshu S. Panda; Zach Pilgrim; Ying Quyang; Johnny M. II Grace; Devendra M. Amatya

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

Informally Refereed

Authors:	Zach Reeves, Sudhanshu S. Panda, Zach Pilgrim, Ying Quyang, Johnny M. II Grace, Devendra M. Amatya
Year:	2022
Type:	Proceedings - Paper
Station:	Southern Research Station
Source:	General Technical REport 264, Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station

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Parent Publication

Enhancing landscapes for sustainable intensification and watershed resiliency—Proceedings of the Seventh Interagency Conference on Research in the Watersheds

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.