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What environmental fate processes have the strongest influence on a completely persistent organic chemical's accumulation in the Arctic?
Institution:1. Department of Applied Environmental Science (ITM), Stockholm University, SE-10691 Stockholm, Sweden;2. Institute for Chemical and Bioengineering, ETH Zurich, CH-8093 Zurich, Switzerland;1. Institute for Chemical and Bioengineering, Swiss Federal Institute of Technology, ETH Zurich, 8093 Zürich, Switzerland;2. Institute for Sustainability Sciences, Agroscope, 8046 Zürich, Switzerland;3. Research Centre for Toxic Compounds in the Environment, Masaryk University, 62500 Brno, Czech Republic;1. Department of Physical and Environmental Sciences, University of Toronto Scarborough, 1265 Military Trail, Toronto, Ontario M1C 1A4, Canada;2. Environmental Health Science and Research Bureau, Health Canada, 4908D – 269 Laurier Avenue West, Ottawa, Ontario K1A 0K9, Canada;3. ARC Arnot Research & Consulting, 36 Sproat Avenue, Toronto, Ontario M4M 1W4, Canada;4. Department of Biology, University of Ottawa, 30 Marie-Curie Private, Ottawa, Ontario K1N 6N5, Canada
Abstract:Fate and transport models can be used to identify and classify chemicals that have the potential to undergo long-range transport and to accumulate in remote environments. For example, the Arctic contamination potential (ACP), calculated with the help of the zonally averaged global transport model Globo-POP, is a numerical indicator of an organic chemical's potential to be transported to polar latitudes and to accumulate in the Arctic ecosystem. It is important to evaluate how robust such model predictions are and in particular to appreciate to what extent they may depend on a specific choice of environmental model input parameters. Here, we employ a recently developed graphical method based on partitioning maps to comprehensively explore the sensitivity of ACP estimates to variations in environmental parameters. Specifically, the changes in the ACP of persistent organic contaminants to changes in each environmental input parameter are plotted as a function of the two-dimensional hypothetical “chemical space” defined by two of the three equilibrium partition coefficients between air, water and octanol. Based on the patterns obtained, this chemical space is then segmented into areas of similar parameter sensitivities and superimposed with areas of high default ACP and elevated environmental bioaccumulation potential within the Arctic. Sea ice cover, latitudinal temperature gradient, and macro-diffusive atmospheric transport coefficients, and to a lesser extent precipitation rate, display the largest influence on ACP-values for persistent organic contaminants, including those that may bioaccumulate within the polar marine ecosystems. These environmental characteristics are expected to be significantly impacted by global climate change processes, highlighting the need to explore more explicitly how climate change may affect the long-range transport and accumulation behavior of persistent organic pollutants.
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