JEQ Grow Your Career With ASA
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published in J Environ Qual 25:411-418 (1996)
© 1996 American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Zhang, R.
Right arrow Articles by Munn, L.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Zhang, R.
Right arrow Articles by Munn, L.
Agricola
Right arrow Articles by Zhang, R.
Right arrow Articles by Munn, L.

Determination of Nonpoint-Source Pollution Using GIS and Numerical Models

R. Zhang*,, J. D. Hamerlinck, S. P. Gloss and L. Munn

Dep. of Plant, Soil and Insect Sciences, Univ. of Wyoming, Laramie, WY 82071-3354;
Wyoming Water Resources Center, Univ. of Wyoming, Laramie, WY 82071-3067.

* Corresponding author (renduo{at}uwyo.edu).

ABSTRACT

A geographic information system (GIS) was utilized to apply a modified DRASTIC method to the assessment of ground water contamination sensitivity in Goshen County, Wyoming. Several basic environmental characteristics, identified as influencing contaminant transport through the vadose zone to groundwater systems, were mapped, automated, and analyzed. These characteristics include: depth to groundwater, net recharge, hydrogeologic setting, vadose zone soil properties, land surface slope, and saturated hydraulic conductivity. Sensitivity ratings were developed for each parameter based on a combination of mathematical functions and the inherent capacity of each characteristic to influence transport of contaminants. A raster-based overlay analysis was performed to derive a map that portrays cumulative aquifer sensitivity ratings across the county, providing a relative indication of groundwater vulnerability to contamination. A process-based numerical model was used to simulate water flow and solute transport in the vadose zone and groundwater systems. The model incorporated soil and hydraulic properties produced with the GIS into the simulations. Numerical simulations described the time and spatial distributions of contaminants. Chemical mass stored in the soil and leaching out from the vadose zone were computed to characterize groundwater contamination. Groundwater sensitivity indexes, which were developed based on the numerical modeling results, were compared with the GIS sensitivity map and used to verify the reliability of the map.


Received for publication April 17, 1995.





HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Agronomy Journal Crop Science
Vadose Zone Journal Journal of Plant Registrations
Journal of Natural Resources
and Life Sciences Education
Soil Science Society of America Journal
Copyright © 1996 by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America.