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Wastewater characterization and mana...

University of Guelph (Canada).

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Wastewater characterization and management in Ontario's food processing sector.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Wastewater characterization and management in Ontario's food processing sector./
Author:	Long, Zebo.
Description:	116 p.
Notes:	Source: Masters Abstracts International, Volume: 47-05, page: 3014.
Contained By:	Masters Abstracts International47-05.
Subject:	Agriculture, Food Science and Technology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR47789
ISBN:	9780494477892

Wastewater characterization and management in Ontario's food processing sector.
Long, Zebo.

Wastewater characterization and management in Ontario's food processing sector. - 116 p.

Source: Masters Abstracts International, Volume: 47-05, page: 3014.

Thesis (M.Sc.)--University of Guelph (Canada), 2009.

Research was undertaken to characterize raw wastewater, effluent and sludge, and assessed wastewater treatment systems in Ontario's food industry, that discharge wastewater directly to surface water or land. Samples from 48 sampling points in 12 plants were collected seasonally for a whole year and were analyzed for up to 234 parameters. About 45,000 data points were obtained. Two Access databases were built for the data management. Systematic statistical methodologies were developed for the data analysis, including box plot, dot diagram, Levene's test, and one-way ANOVA. Based on intensive data analysis, a comprehensive characterization of raw wastewater, effluent and sludge is presented. The results and corresponding explanations provide a basis for best management practices in Ontario's food processing sector. For example, the leakage of milk and milk products is the main reason for the high levels of pollutants such as TKN in dairy wastewater. Potential measures for the improvement of wastewater treatment systems of certain plants are provided. A good example is that increasing aeration could reduce the concentration of ammonia in the effluent from some plants.

ISBN: 9780494477892Subjects--Topical Terms:

1017813
Agriculture, Food Science and Technology.

Wastewater characterization and management in Ontario's food processing sector.
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020 $a 9780494477892
035 $a (UMI)AAIMR47789
035 $a AAIMR47789
040 $a UMI $c UMI
100 1 $a Long, Zebo. $3 1021900
245 1 0 $a Wastewater characterization and management in Ontario's food processing sector.
300 $a 116 p.
500 $a Source: Masters Abstracts International, Volume: 47-05, page: 3014.
502 $a Thesis (M.Sc.)--University of Guelph (Canada), 2009.
520 $a Research was undertaken to characterize raw wastewater, effluent and sludge, and assessed wastewater treatment systems in Ontario's food industry, that discharge wastewater directly to surface water or land. Samples from 48 sampling points in 12 plants were collected seasonally for a whole year and were analyzed for up to 234 parameters. About 45,000 data points were obtained. Two Access databases were built for the data management. Systematic statistical methodologies were developed for the data analysis, including box plot, dot diagram, Levene's test, and one-way ANOVA. Based on intensive data analysis, a comprehensive characterization of raw wastewater, effluent and sludge is presented. The results and corresponding explanations provide a basis for best management practices in Ontario's food processing sector. For example, the leakage of milk and milk products is the main reason for the high levels of pollutants such as TKN in dairy wastewater. Potential measures for the improvement of wastewater treatment systems of certain plants are provided. A good example is that increasing aeration could reduce the concentration of ammonia in the effluent from some plants.
590 $a School code: 0081.
650 4 $a Agriculture, Food Science and Technology. $3 1017813
650 4 $a Engineering, Environmental. $3 783782
690 $a 0359
690 $a 0775
710 2 $a University of Guelph (Canada). $3 1018650
773 0 $t Masters Abstracts International $g 47-05.
790 $a 0081
791 $a M.Sc.
792 $a 2009
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR47789