Record Details
Assessment of aquifer vulnerability due to heavy metals using ordinal logistic regression analysis
DigitalCommons@USU
| Field | Value |
|---|---|
| Title | Assessment of aquifer vulnerability due to heavy metals using ordinal logistic regression analysis |
| Creator | Twarakavi, N. K. Kaluarachchi, Jagath J. |
| Description | A methodology using ordinal logistic regression is proposed to predict the probability of occurrence of heavy metals in ground water. The predicted probabilities are defined with reference to the background concentration and the maximum contaminant level. The model is able to predict the occurrence due to different influencing variables such as the land use, soil hydrologic group (SHG), and surface elevation. The methodology was applied to the Sumas-Blaine Aquifer located in Washington State... |
| Date | 2005-03-01T08:00:00Z |
| Type | text |
| Format | text/html |
| Identifier | https://digitalcommons.usu.edu/cee_facpub/1472 https://digitalcommons.usu.edu/context/cee_facpub/article/2472/type/native/viewcontent/15819941.html |
| Rights | Copyright for this work is held by the author. Transmission or reproduction of materials protected by copyright beyond that allowed by fair use requires the written permission of the copyright owners. Works not in the public domain cannot be commercially exploited without permission of the copyright owner. Responsibility for any use rests exclusively with the user. For more information contact the Institutional Repository Librarian at digitalcommons@usu.edu. |
| Source | Civil and Environmental Engineering Faculty Publications |
| Publisher | Hosted by Utah State University Libraries |
| Subject | UWRL Civil and Environmental Engineering |
