Use of watershed factors to predict consumer surfactant risk, water quality, and habitat quality in the upper Trinity River, Texas |
| |
Authors: | S.F. Atkinson D.R. Johnson B.J. Venables J.R. Kennedy B.B. Price K. Stanton A. Nielsen |
| |
Affiliation: | a Institute of Applied Science, Department of Biological Sciences, University of North Texas, P.O. Box 310559, Denton, TX 76203-0559, United States b The Procter and Gamble Company, Miami Valley Innovation Center, 11810 East Miami River Road, Cincinnati, OH 45253, United States c EA Engineering, EA Engineering, Science, and Technology, 15 Loveton Circle, Sparks, MD 21152, United States d The Soap and Detergent Association, 1500 K Street, NW, Suite 300, Washington, District of Columbia 20005, United States e Sasol North America, Research and Development Department, 2201 Old Spanish Trail, Westlake LA 70669, United States |
| |
Abstract: | Surfactants are high production volume chemicals that are used in a wide assortment of “down-the-drain” consumer products. Wastewater treatment plants (WWTPs) generally remove 85 to more than 99% of all surfactants from influents, but residual concentrations are discharged into receiving waters via wastewater treatment plant effluents. The Trinity River that flows through the Dallas-Fort Worth metropolitan area, Texas, is an ideal study site for surfactants due to the high ratio of wastewater treatment plant effluent to river flow (> 95%) during late summer months, providing an interesting scenario for surfactant loading into the environment. The objective of this project was to determine whether surfactant concentrations, expressed as toxic units, in-stream water quality, and aquatic habitat in the upper Trinity River could be predicted based on easily accessible watershed characteristics. Surface water and pore water samples were collected in late summer 2005 at 11 sites on the Trinity River in and around the Dallas-Fort Worth metropolitan area. Effluents of 4 major waste water treatment plants that discharge effluents into the Trinity River were also sampled. General chemistries and individual surfactant concentrations were determined, and total surfactant toxic units were calculated. GIS models of geospatial, anthropogenic factors (e.g., population density) and natural factors (e.g., soil organic matter) were collected and analyzed according to subwatersheds. Multiple regression analyses using the stepwise maximum R2 improvement method were performed to develop prediction models of surfactant risk, water quality, and aquatic habitat (dependent variables) using the geospatial parameters (independent variables) that characterized the upper Trinity River watershed. We show that GIS modeling has the potential to be a reliable and inexpensive method of predicting water and habitat quality in the upper Trinity River watershed and perhaps other highly urbanized watersheds in semi-arid regions. |
| |
Keywords: | Surfactants Toxicity units Water quality Non-point source pollution Geographic information systems Multiple regression models Trinity River, Texas |
本文献已被 ScienceDirect 等数据库收录! |
|