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A GEOGRAPHIC INFORMATION SYSTEM TO PREDICT NON‐POINT SOURCE POLLUTION POTENTIAL 1
Author(s) -
Gilliland Martha W.,
BaxterPotter Wanada
Publication year - 1987
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/j.1752-1688.1987.tb00807.x
Subject(s) - fecal coliform , nonpoint source pollution , environmental science , surface runoff , pollution , hydrology (agriculture) , feedlot , water quality , environmental engineering , ecology , biology , geology , geotechnical engineering
Bacterial densities (total coliform, fecal coliform, and fecal streptococci) and suspended solids in runoff from a feedlot, pasture, and corn field were measured. Densities of fecal coliform were highest from the feedlot but were 1000 to 10,000 times greater than the water quality standard for swimmable waters from all three land uses. Densities of fecal streptococci were highest from the corn field, which suggests that wildlife are the source of bacteria. Fecal coliform/fecal streptococci ratios distinguished cattle from wildlife as the source of bacterial pollution both among land uses and among seasons of the year. Suspended solids concentrations in runoff ranged from 423 to 925 mg/l and were highest from the corn field. A Geographic Information System (GIS), which utilizes a raster or grid‐cell format, was developed to include algorithms associated with non‐point source pollution. The system accepts digitally mapped information on soil type, topography, and land use. It calculates characteristics such as slope and slope length, and relates these characteristics to soils and land use parameters in order to produce three dimensional maps of runoff potential, sediment pollution potential, and bacterial pollution potential. It offers the advantages of retaining the geographic character of pollution potential information and of conveying in three‐dimensional graphical terms the effects of topography, soil type, land use, and land management practices.