A regression model using sediment chemistry for the evaluation of marine environmental impacts associated with salmon aquaculture cage wastes

This study was undertaken to develop an approach for modelling changes of sediment chemistry related to the accumulation of aquaculture waste. Metal composition of sediment Al, Cu, Fe, Li, Mn, and Zn; organic carbon and

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Bibliographic Details
Published in:Marine pollution bulletin 2004-09, Vol.49 (5), p.465-472
Main Authors: Chou, C.L., Haya, K., Paon, L.A., Moffatt, J.D.
Format: Article
Language:English
Subjects:
Animal aquaculture
Animal productions
Animal, plant and microbial ecology
Animals
Applied ecology
Aquaculture
Biological and medical sciences
Ecotoxicology, biological effects of pollution
Forecasting
Fundamental and applied biological sciences. Psychology
Geologic Sediments - chemistry
Marine
Marine and brackish environment
Marine environmental effects
Metals
Metals, Heavy - analysis
Models, Statistical
Normalisation
Pisciculture
Prediction modelling
Regression Analysis
Salmonidae
Sediments
Vertebrate aquaculture
Waste Disposal, Fluid
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Description
Summary:This study was undertaken to develop an approach for modelling changes of sediment chemistry related to the accumulation of aquaculture waste. Metal composition of sediment Al, Cu, Fe, Li, Mn, and Zn; organic carbon and
ISSN:0025-326X
1879-3363
DOI:10.1016/j.marpolbul.2004.02.039