Full TGIF Record # 234138
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DOI:10.1111/j.1752-1688.1998.tb05431.x
Web URL(s):http://onlinelibrary.wiley.com/doi/10.1111/j.1752-1688.1998.tb05431.x/pdf
    Last checked: 12/11/2013
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    Access conditions: Item is within a limited-access website
Publication Type:
i
Report
Author(s):Shukla, S.; Mostaghimi, S.; Shanholtz, V. O.; Collins, M. C.
Author Affiliation:Shukla: Graduate Research Assistant; Mostaghimi: Professor, Department of Biological Systems Engineering, Virginia Polytechnic Institute and State University; Shanholtz: President, MapTech Inc., Virginia Tech Corporate Research Center, Blacksburg; Collins: Environmental Planner, Thomas Jefferson Planning District Commission, Charlottesville, Virginia
Title:A GIS-based modeling approach for evaluating groundwater vulnerability to pesticides
Source:Journal of the American Water Resources Association/AWRA. Vol. 34, No. 6, December 1998, p. 1275-1293.
# of Pages:19
Publishing Information:Minneapolis, Minnesota: American Water Resources Association
Related Web URL:http://onlinelibrary.wiley.com/doi/10.1111/j.1752-1688.1998.tb05431.x/abstract
    Last checked: 12/11/2013
    Notes: Abstract only
Keywords:TIC Keywords: Evaluations; GIS; Groundwater contamination; Models; Pesticide fate; Water quality
Abstract/Contents:"The Attenuation Factor (AF), a screening model, was used to evaluate the relative degree of vulnerability of groundwater to pesticide contamination in Louisa County, Virginia. For evaluating the contamination potential of pesticides, three scenarios of pesticide leaching represented by high, moderate, and low cases of degradation and sorption in the soil were considered. Data layers were overlaid within a Geographic Information System (GIS) for spatial computation of AF for the actual and 2m groundwater depths. This spatial database was divided into five contamination potential categories namely high, medium, low, very low, and unlikely, based on the numerical values of the AF for each cell (119 ha). The results for the three most mobile pesticides are presented in this paper. The performance of the AF model was evaluated by comparing its predicted results with the field data from an experimental watershed. The AF model was able to identify most of the frequently detected pesticides in the watershed. A sensitivity analysis was also performed. The results of this study provide information about the potential groundwater threat by pesticides to the citizens ahd decision-makers in the County and can be used for formulating an appropriate land use management plan to protect the groundwater quality."
Language:English
References:47
Note:Equations
Maps
Figures
Tables
Geographic Terms:Louisa County, Virginia
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Shukla, S., S. Mostaghimi, V. O. Shanholtz, and M. C. Collins. 1998. A GIS-based modeling approach for evaluating groundwater vulnerability to pesticides. Water Resour. Bull. 34(6):p. 1275-1293.
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DOI: 10.1111/j.1752-1688.1998.tb05431.x
Web URL(s):
http://onlinelibrary.wiley.com/doi/10.1111/j.1752-1688.1998.tb05431.x/pdf
    Last checked: 12/11/2013
    Requires: PDF Reader
    Access conditions: Item is within a limited-access website
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MSU catalog number: b2206946~S1a
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