HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Services Similar articles in this journal Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via Google Scholar Google Scholar Articles by Nolan, B. T. Articles by Clark, M. L. Search for Related Content PubMed Articles by Nolan, B. T. Articles by Clark, M. L. Agricola Articles by Nolan, B. T. Articles by Clark, M. L.

Selenium in Irrigated Agricultural Areas of the Western United States

U.S. Geological Survey, Water Resources Div., M.S. 413 National Center, Reston, VA 20192;

Melanie L. Clark

U.S. Geological Survey, Water Resources Division, 2617 E. Lincolnway, Cheyenne, WY 82001.

^* Corresponding author (btnolan{at}usgs.gov).

ABSTRACT

A logistic regression model was developed to predict the likelihood that Se exceeds the USEPA chronic criterion for aquatic life (5 µg/L) in irrigated agricultural areas of the western USA. Preliminary analysis of explanatory variables used in the model indicated that surface-water Se concentration increased with increasing dissolved solids (DS) concentration and with the presence of Upper Cretaceous, mainly marine sediment. The presence or absence of Cretaceous sediment was the major variable affecting Se concentration in surfacewater samples from the National Irrigation Water Quality Program. Median Se concentration was 14 µg/L in samples from areas underlain by Cretaceous sediments and <1 µg/L in samples from areas underlain by non-Cretaceous sediments. Wilcoxon rank sum tests indicated that elevated Se concentrations in samples from areas with Cretaceous sediments, irrigated areas, and from closed lakes and ponds were statistically significant. Spearman correlations indicated that Se was positively correlated with a binary geology variable (0.64) and DS (0.45). Logistic regression models indicated that the concentration of Se in surface water was almost certain to exceed the Environmental Protection Agency aquatic-life chronic criterion of 5 µg/L when DS was greater than 3000 mg/L in areas with Cretaceous sediments. The "best" logistic regression model correctly predicted Se exceedances and nonexceedances 84.4% of the time, and model sensitivity was 80.7%. A regional map of Cretaceous sediment showed the location of potential problem areas. The map and logistic regression model are tools that can be used to determine the potential for Se contamination of irrigated agricultural areas in the western USA.