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| 02274nam 2200361za 4500 |
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001 | 9.845906 |
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003 | CaOODSP |
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005 | 20221107153055 |
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007 | cr ||||||||||| |
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008 | 171023s2007 oncab||fo f000 0 eng d |
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040 | |aCaOODSP|beng |
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041 | |aeng|bfre |
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043 | |an-cn-on |
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086 | 1 |aEn83-9/07-002E-PDF |
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100 | 1 |aMilani, D. W. |
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245 | 14|aThe application of BEAST sediment quality guidelines to the Jackfish Bay area of concern |h[electronic resource] / |cD. Milani and L.C. Grapentine. |
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260 | |aBurlington, Ontario : |bWater Science and Technology Directorate, Environment Canada, |c[2007]. |
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300 | |aviii, 87 p. : |bill., maps |
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490 | 1 |aWSTD contribution |vno. 07-002 |
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500 | |a"NWRI contribution #07-02". |
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500 | |aDigitized edition from print [produced by Environment and Climate Change Canada]. |
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504 | |aIncludes bibliographic references: p. 28-31. |
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520 | |a"This report. describes sediment quality in Jackfish Bay, identified as an Area of Concern (AOC) due to degraded water quality, sediment contamination and impactedffish and benthic communities. As part of the Great Lakes 2020 Action Plan, the Benthic Assessment of Sediment (BEAST) methodology was applied to 15 sites throughout the AOC in September 2003. The BEAST methodology involves the assessment of sediment quality based on -multivariate techniques using data on benthic communities, the functional responses of laboratory organisms in toxicity tests, and the physical and chemical attributes of the sediment and overlying water.’ Data from test sites were compared to biological criteria developed for the Laurentian Great Lakes. Additionally, toxicity-contaminant relationships were examined using regression analysis"--Summary, p. ii. |
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546 | |aIncludes summary in French. |
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692 | 07|2gccst|aWater quality |
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692 | 07|2gccst|aSediments |
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700 | 1 |aGrapentine, Lee C. |q(Lee Curtis), |d1961- |
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710 | 1 |aCanada. |bEnvironment Canada. |
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710 | 1 |aCanada. |bWater Science and Technology Directorate. |
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830 | #0|aWSTD contribution ;|vno. 07-002|w(CaOODSP)9.845900 |
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856 | 40|qPDF|s3.40 MB|uhttps://publications.gc.ca/collections/collection_2017/eccc/En83-9-07-002-eng.pdf |
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