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Activity Number:
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70
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Type:
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Contributed
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Date/Time:
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Monday, August 12, 2002 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistics & the Environment*
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| Abstract - #300443 |
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Title:
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Use of Multivariate Statistical Methods for the Selection of Bioassays as Test Battery Components
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Author(s):
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Aiping Qian*+ and Shijin Ren+
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Affiliation(s):
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University of Tennessee and University of Tennessee
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Address:
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331 Stokely Management Center, Knoxville, Tennessee, 37996-0532, 331 Stokely Management Center, Knoxville, Tennessee, 37966-0532, USA
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Keywords:
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principal component analysis ; multidimensional scaling ; bioassay ; test battery ; correlation
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Abstract:
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Several bioassays have been developed for the assessment of wastewater toxicity to protect the activated sludge processes in biological wastewater treatment plants. In aquatic toxicity testing, no single test species responds to all toxicants. Therefore, test batteries consisting of more than one assay are becoming more common. The species comprising a test battery should be representative of the entire system of interest. Each assay should be complementary to other components in the test battery, and the test battery should not include redundant tests. We studied the selection of test battery components for predicting wastewater toxicity to activated sludge. The assays considered were the Shk1, Microtox, Polytox, activated sludge respiration inhibition, Nitrosomonas, and Tetrahymena assays. The toxicity data obtained from these assays were analyzed by principal component analysis (PCA) and multidimensional scaling (MDS). These statistical methods showed that the Nitrosomonas assay should be included in test batteries, plus one of the remaining five assays for assessing wastewater toxicity to activated sludge.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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