As part of the Metal Mixture Modeling Evaluation (MMME) project, models were developed by the National Institute of Advanced Industrial Science and Technology (Japan), the U.S. Geological Survey (USA), HDR⎪HydroQual, Inc. (USA), and the Centre for Ecology and Hydrology (UK) to address the effects of metal mixtures on biological responses of aquatic organisms. A comparison of the 4 models, as they were presented at the MMME Workshop in Brussels, Belgium (May 2012), is provided herein. Overall, the models were found to be similar in structure (free ion activities computed by WHAM; specific or non-specific binding of metals/cations in or on the organism; specification of metal potency factors and/or toxicity response functions to relate metal accumulation to biological response). Major differences in modeling approaches are attributed to various modeling assumptions (e.g., single versus multiple types of binding site on the organism) and specific calibration strategies that affected the selection of model parameters. The models provided a reasonable description of additive (or nearly additive) toxicity for a number of individual toxicity test results. Less-than-additive toxicity was more difficult to describe with the available models. Because of limitations in the available datasets and the strong inter-relationships among the model parameters (log KM values, potency factors, toxicity response parameters), further evaluation of specific model assumptions and calibration strategies is needed.
Citation Information
Publication Year | 2015 |
---|---|
Title | Metal Mixture Modeling Evaluation project: 2. Comparison of four modeling approaches |
DOI | 10.1002/etc.2820 |
Authors | Kevin J. Farley, Joe Meyer, Laurie S. Balistrieri, Karl DeSchamphelaere, Yuichi Iwasaki, Colin Janssen, Masashi Kamo, Steve Lofts, Christopher A. Mebane, Wataru Naito, Adam C. Ryan, Robert C. Santore, Edward Tipping |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | Environmental Toxicology and Chemistry |
Index ID | 70177028 |
Record Source | USGS Publications Warehouse |
USGS Organization | Geology, Minerals, Energy, and Geophysics Science Center |