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 Ouyang; Johnny M. Grace; Devendra M. Amatya

Treesearch

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 Ouyang, Johnny M. 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

Download (PDF 285 KB)

Download (PDF 285 KB): https://research.fs.usda.gov/download/treesearch/64451.pdf

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.