Development and implementation of a site-specific water quality limit for uranium in a high conservation value ecosystem

2017 ◽  
Vol 13 (4) ◽  
pp. 765-777 ◽  
Author(s):  
Rick A van Dam ◽  
Alicia C Hogan ◽  
Andrew J Harford
Keyword(s):  
Water Quality ◽  
Conservation Value ◽  
Site Specific ◽  
High Conservation ◽  
A Site

scholarly journals Waterborne illness and injury: a feasibility study of a site-specific predictive model for beach water quality at Beachway Park in the City of Burlington

2021 ◽  
Author(s):  
Ramien Sereshk
Keyword(s):  
Water Quality ◽  
Predictive Model ◽  
Real Time ◽  
Site Specific ◽  
E Coli ◽  
Time Basis ◽  
A Site ◽  
Persistence Model ◽  
Beach Water Quality ◽  
Beach Water

It is commonly assumed that the persistence model, using day-old monitoring results, will provide accurate estimates of real-time bacteriological concentrations in beach water. However, the persistence model frequently provides incorrect results. This study: 1. develops a site-specific predictive model, based on factors significantly influencing water quality at Beachway Park; 2. determines the feasibility of the site-specific predictive model for use in accurately predicting near real-time E. coli levels. A site-specific predictive model, developed for Beachway Park, was evaluated and the results were compared to the persistence model. This critical performance evaluation helped to identify the inherent inaccuracy of the persistence model for Beachway Park, which renders it an unacceptable approach for safeguarding public health from recreational water-borne illnesses. The persistence model, supplemented with a site-specific predictive model, is recommended as a feasible method to accurately predict bacterial levels in water on a near real-time basis.

scholarly journals Waterborne illness and injury: a feasibility study of a site-specific predictive model for beach water quality at Beachway Park in the City of Burlington

2021 ◽  
Author(s):  
Ramien Sereshk
Keyword(s):  
Water Quality ◽  
Predictive Model ◽  
Real Time ◽  
Site Specific ◽  
E Coli ◽  
Time Basis ◽  
A Site ◽  
Persistence Model ◽  
Beach Water Quality ◽  
Beach Water

It is commonly assumed that the persistence model, using day-old monitoring results, will provide accurate estimates of real-time bacteriological concentrations in beach water. However, the persistence model frequently provides incorrect results. This study: 1. develops a site-specific predictive model, based on factors significantly influencing water quality at Beachway Park; 2. determines the feasibility of the site-specific predictive model for use in accurately predicting near real-time E. coli levels. A site-specific predictive model, developed for Beachway Park, was evaluated and the results were compared to the persistence model. This critical performance evaluation helped to identify the inherent inaccuracy of the persistence model for Beachway Park, which renders it an unacceptable approach for safeguarding public health from recreational water-borne illnesses. The persistence model, supplemented with a site-specific predictive model, is recommended as a feasible method to accurately predict bacterial levels in water on a near real-time basis.

Towards the Development of a Site-Specific Water Quality Objective for Atrazine in the Yamaska River, Quebec, for the Protection of Aquatic Life

1995 ◽  
Vol 30 (2) ◽  
pp. 157-178 ◽  
Author(s):  
P.-Y. Caux ◽  
R.A. Kent
Keyword(s):  
Water Quality ◽  
Biological Effects ◽  
Quality Parameters ◽  
Control Site ◽  
Aquatic Life ◽  
Site Specific ◽  
Quality Guidelines ◽  
Phytoplankton Communities ◽  
A Site

Abstract The biological effects of xenobiotics in aquatic environments are often a function of the water quality of these systems. The aquatic green alga Selenastrum capricomutum was exposed to 11 concentrations of the herbicide atrazine in the range of 0.8 to 882 μg/L. The incubation media consisted of water collected from the Yamaska River Lac Brome (control) site in the spring and fall. Algae incubated in fall water displayed a significant increase in the intensity of fluorescence as compared to those incubated in spring water. This effect (Kautsky effect) was observed for six intermediate atrazine concentrations which are representative of those found in the field. In situ investigations were also performed on the water quality of four Yamaska River sites to measure both biotic and abiotic (physicochemical) parameters. Of the 35 water quality parameters analyzed, 32 differed significantly spatio-temporally. Of these, only atrazine levels (max. 40 μg/L) exceeded national water quality guidelines for the protection of aquatic life (2 μg/L). Two Yamaska tributaries experienced a reduction in populations of chlorophytic algae immediately following the atrazine application period in early June. These investigations show that herbicide spring “pulse” in river systems may alter the normal succession of phytoplankton communities. Local environmental biotic and abiotic variables likely affect the toxicity of atrazine in the Yamaska River. These results provide the initial basis towards the establishment of a site-specific objective for atrazine in this river basin.

Developing Ambient Water Quality Criteria for Mercury: A Probabilistic Site-Specific Approach

2015 ◽  
Vol 2 (0) ◽  
pp. 9781780404028-9781780404028
Author(s):  
D. R. J. Moore ◽  
A. Pawlisz ◽  
R. Scott Teed
Keyword(s):  
Water Quality ◽  
Quality Criteria ◽  
Water Quality Criteria ◽  
Ambient Water ◽  
Site Specific ◽  
Specific Approach
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