1. General Model Information

Name: Groundwater Contamination Likelihood Model


Main medium: terrestrial
Main subject: hydrology,biogeochemistry
Organization level: ecosystem
Type of model: not specified
Main application:
Keywords: groundwater, contamination, hydrology, GIS


Dr. Akram M. Khan

Biosystems Engineering Department
3050 Maile Way # 111
Honolulu, HI 96822

Phone: 808 956-8847
Fax: 808 956-9269
email: agng@uhunix.uhcc.hawaii.edu



The Groundwater Contamination Likelihood Model estimates the likelihood of a chemical (such as a pesticide like atrazine), to pass through the soil root zone. The model is based on an equation that solves for an attenuation factor based on a retardation factor, soil bulk density, organic carbon, and soil particle density, and other variables.. The attenuation factor reflects the likelihood of groundwater contamination.

Researchers at the University of Hawaii have used the attenuation factor in a GIS to assess potential groundwater contamination on the Island of Oahu (Khan and Liang, 1989). Researchers have suggested that this model could be used in conjunction with, or in replacement of, other similar types of models, such as PRZM (Pesticide Root Zone Model) and PTR (pesticide transport model).

In addition to data on soils and climate, information on pesticide chemical properties are also required.

Author of the abstract:


II. Technical Information

II.1 Executables:

Operating System(s): 5 seconds to execute on a 386 PC with a 10,000 cell grid

II.2 Source-code:

Programming Language(s):

II.3 Manuals:

II.4 Data:

III. Mathematical Information

III.1 Mathematics

III.2 Quantities

III.2.1 Input

III.2.2 Output

IV. References

Khan, M.A. and T. Liang. 1989.Mapping pesticide contamination potential. Environmental Management 13 (2); 233-242

V. Further information in the World-Wide-Web

VI. Additional remarks

Researchers at the University of Hawaii have shown that their Groundwater Contamination Likelihood Model can be used in a GIS to examine large scale pesticide impacts of agriculture. In addition, since it also links to climate data, it can be used to examine how changes in climate could alter pesticide leaching rates.

Last review of this document by: 22. May 1997
Status of the document:
last modified by Tobias Gabele Wed Aug 21 21:44:44 CEST 2002

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