Literature DB >> 19339037

Use of watershed factors to predict consumer surfactant risk, water quality, and habitat quality in the upper Trinity River, Texas.

S F Atkinson1, D R Johnson, B J Venables, J L Slye, J R Kennedy, S D Dyer, B B Price, M Ciarlo, K Stanton, H Sanderson, A Nielsen.   

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 R(2) 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.

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Year:  2009        PMID: 19339037     DOI: 10.1016/j.scitotenv.2009.02.029

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  5 in total

1.  Modeling relationships between catchment attributes and river water quality in southern catchments of the Caspian Sea.

Authors:  Mohammad Hasani Sangani; Bahman Jabbarian Amiri; Afshin Alizadeh Shabani; Yousef Sakieh; Sohrab Ashrafi
Journal:  Environ Sci Pollut Res Int       Date:  2014-11-15       Impact factor: 4.223

2.  Ecotoxicological characterization of polyoxyethylene glycerol ester non-ionic surfactants and their mixtures with anionic and non-ionic surfactants.

Authors:  Francisco Ríos; Alejandro Fernández-Arteaga; Manuela Lechuga; Mercedes Fernández-Serrano
Journal:  Environ Sci Pollut Res Int       Date:  2017-03-03       Impact factor: 4.223

3.  Alkyl polyglucoside compound influences freshwater plankton community structure in floating field mesocosms.

Authors:  Steven F Riera; Risa A Cohen
Journal:  Ecotoxicology       Date:  2016-07-21       Impact factor: 2.823

4.  Environmental Safety of the Use of Major Surfactant Classes in North America.

Authors:  Christina Cowan-Ellsberry; Scott Belanger; Philip Dorn; Scott Dyer; Drew McAvoy; Hans Sanderson; Donald Versteeg; Darci Ferrer; Kathleen Stanton
Journal:  Crit Rev Environ Sci Technol       Date:  2014-09       Impact factor: 12.561

5.  Spatial Regression and Prediction of Water Quality in a Watershed with Complex Pollution Sources.

Authors:  Xiaoying Yang; Qun Liu; Xingzhang Luo; Zheng Zheng
Journal:  Sci Rep       Date:  2017-08-16       Impact factor: 4.379

  5 in total

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