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

Atkinson, Samuel F.; Johnson, David R.; Venables, Barney J.; Slye, Jaime L.; Kennedy, James; Dyer, Scott D.; Price, Bradford B.; Ciarlo, Michael; Stanton, Kathleen; Sanderson, Hans; Nielsen, Allen M.

doi:10.1016/j.scitotenv.2009.02.029

Cited by 29 publications

(20 citation statements)

References 21 publications

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“…The watershed characteristics that have been examined include land use and land cover patterns, regional geology, soil characteristics, climate, topography, extent of impervious surface, population density, road density, urbanization pattern, etc. (Ritter, 1986;Battaglin and Goolsby, 1997;McFarland and Hauck, 1999;Arheimer and Liden, 2000;Liu et al, 2000;Ometo et al, 2000;Sliva and Williams, 2001;Smith et al, 2001;Donner, 2003;Meador and Goldstein, 2003;Santos-Roman et al, 2003;Turner and Rabalais, 2003;Carle et al, 2005;Xian et al, 2007;Zampella et al, 2007;Chang, 2008;Coats et al, 2008;Amiri and Nakane, 2009;Atkinson et al, 2009). Understandings of such empirical relationships can help assess conditions of unmonitored water bodies, identify human activities that significantly contribute to pollution as well as critical areas that are at risk, and promote management practices to reduce nonpoint source pollution (McFarland and Hauck, 1999;Gergel et al, 2002;Griffith et al, 2002;Baker, 2003).…”

Section: Introductionmentioning

confidence: 99%

GIS-based spatial regression and prediction of water quality in river networks: A case study in Iowa

Yang

Jin

2010

Journal of Environmental Management

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Section: Introductionmentioning

confidence: 99%

GIS-based spatial regression and prediction of water quality in river networks: A case study in Iowa

Yang

Jin

2010

Journal of Environmental Management

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“…It is important to recognize that land-use data can account for variation in river water quality both regionally and locally within a watershed [8,36,[39][40][41][42]. We report in a sister manuscript [8] that cumulative watershed characteristics are better than near-field watershed characteristics for predicting aquatic habitat parameters.…”

Section: Discussionmentioning

confidence: 90%

“…We report in a sister manuscript [8] that cumulative watershed characteristics are better than near-field watershed characteristics for predicting aquatic habitat parameters. The present study shows that it is advantageous that the whole watershed be addressed to conserve river health.…”

Section: Discussionmentioning

confidence: 97%

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Relationships between benthic macroinvertebrate community structure and geospatial habitat, in-stream water chemistry, and surfactants in the effluent-dominated Trinity River, Texas, USA

Slye

Kennedy

Johnson

et al. 2011

Environmental Toxicology and Chemistry

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Over the past 20 years, benthic macroinvertebrate community structure studies have been conducted on the upper Trinity River, Texas, USA, which is dominated by municipal wastewater treatment plant (WWTP) and industrial effluents. The Trinity River is located in the Dallas-Fort Worth metropolitan area, and is the most highly populated and industrialized watershed in Texas. As such, the Trinity River represents a near-worst-case scenario to examine the environmental effects of domestic-municipal and industrial effluents on aquatic life. A 1987 to 1988 study concluded that many stretches of the river supported a diverse benthic community structure; however, a decline in taxa richness occurred immediately downstream of WWTPs. A 2005 study designed to parallel the 1987 to 1988 efforts evaluated how changes in water quality, habitat, and increased urbanization impacted benthic community structure. Physicochemical measurements, habitat quality, geospatial variables, and benthic macroinvertebrates were collected from 10 sites. Surfactants were measured and toxic units (TUs) were calculated for surface water and pore water as indicators of domestic/household use of cleaning products. Total TUs indicated a low potential for biological impacts. Toxic unit distribution was not dependent on WWTP location and did not correlate with any benthic variable. Eight environmental parameters were determined to be useful for predicting changes in benthic macroinvertebrate community structure: surfactant surface water TUs (SWTU), in-stream habitat cover, and surface water total organic carbon were the top three parameters. Abundance, taxa richness, and taxa similarity in 2005 had increased since the earlier study throughout the immediate vicinity of the metropolitan area.

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“…While environmental risk assessments of these materials have predicted that there is low risk from their use in consumer products (Atkinson et al, 2009;Slye et al, 2011), it has been recognized that these conclusions are confounded by the presence of naturally occurring alcohols in the environment . Apportioning risk between anthropogenic sources and natural sources has been a difficult task in the past.…”

mentioning

confidence: 99%

Use of Market Forensics to Estimate the Environmental Load of Ingredients from Consumer Products

DeLeo

Mudge²,

Dyer

2011

Environmental Forensics

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Advances in analytical chemistry have led to numerous low-level observations of consumer product ingredients in environmental media. A "market forensics" approach complementary to a typical sampling and analysis campaign is described using readily available product formulation and market sales data to estimate the "down-the-drain" load to a wastewater treatment facility. A case study for common cleaning product ingredients is provided for a site in the USA. A regional per capita daily use rate was derived (0.33 g/ person/day) and applied to the residents resulting in an estimated daily influent load (2 kg). A single product type, liquid laundry detergent, was found to contribute 69% of the load alone.

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

Cited by 29 publications

References 21 publications

GIS-based spatial regression and prediction of water quality in river networks: A case study in Iowa

GIS-based spatial regression and prediction of water quality in river networks: A case study in Iowa

Relationships between benthic macroinvertebrate community structure and geospatial habitat, in-stream water chemistry, and surfactants in the effluent-dominated Trinity River, Texas, USA

Use of Market Forensics to Estimate the Environmental Load of Ingredients from Consumer Products

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