National Water-Quality Assessment (NAWQA) Program
Go to:
OverviewThe NAWQA Pesticide National Synthesis Project, which began in 1992, is a national-scale assessment of the occurrence and behavior of pesticides in streams and ground water of the United States and the potential for pesticides to adversely affect drinking-water supplies or aquatic ecosystems. Features
|
Dieldrin is an organochlorine pesticide that had its registration cancelled decades ago because of its tendency to bioaccumulate in tissues of organisms, hazard to wildlife, carcinogenicity, and other chronic effects. Although not used in the United States since the late 1980s, dieldrin breaks down slowly in the environment. Its continued presence in U.S. soils and streams results from the past use of dieldrin and aldrin (another organochlorine insecticide that degrades to dieldrin in the environment). This map shows the predicted probability of fish in streams having whole-fish concentrations of dieldrin greater than 120 µg/kg, the upper end of the range of benchmarks for protection of fish-eating wildlife, and 81 µg/kg, the lower end of this range. The area with the most extensive potential concern is the central Corn Belt, where most streams have more than a 5 percent chance of exceeding the lower benchmark and many streams have more than a 50 percent chance of exceeding this benchmark. The predictions assume a fish lipid content of 6.2 percent, which is a national average for fish. These predictions were made using a statistical regression model developed from dieldrin concentrations in whole fish measured by the USGS NAWQA Program at 648 stream sites across the conterminous United States during 1992-2001. Predictor variables in the regression model include estimates of past agricultural use, an indicator of past use for termite control, variables representing watershed characteristics or geographic location, and fish lipid content. Empirical models such as this one can provide a cost-effective predictive tool to supplement existing monitoring data, assess the need for further monitoring, and guide the design and location of future sampling. For further details, see Nowell, L.H., Crawford, C.G., Gilliom, R.J., Nakagaki, N., Stone, W.W., Thelin, G.P., and Wolock, D.W., 2009, Regression models for explaining and predicting concentrations of organochlorine pesticides in fish from United States streams Environmental Toxicology and Chemistry, v. 28, n. 6, pp. 1346-1358. http://water.usgs.gov/nawqa/pnsp/pubs/i552-8618-28-6-1346.pdf Posted on June 8, 2009 |