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Abstract
Mercury is a potent neurotoxin that poses health risks to the global population. Anthropogenic mercury emissions to the atmosphere are projected to decrease in the future due to enhanced policy efforts such as the Minamata Convention, a legally-binding international treaty entered into force in 2017. Here, we report the development of a comprehensive climate-atmosphere-land-ocean-ecosystem and exposure-risk model framework for mercury and its application to project the health effects of future atmospheric emissions. Our results show that the accumulated health effects associated with mercury exposure during 2010–2050 are $19 (95% confidence interval: 4.7–54) trillion (2020 USD) realized to 2050 (3% discount rate) for the current policy scenario. Our results suggest a substantial increase in global human health cost if emission reduction actions are delayed. This comprehensive modeling approach provides a much-needed tool to help parties to evaluate the effectiveness of Hg emission controls as required by the Minamata Convention.
Mercury is a neurotoxin and pollutant with enhanced emissions from anthropogenic activities. Here, the authors develop a global emissions, transport, and human risk model and find substantial future losses in revenue and public health if emission reductions proposed by the Minamata Convention are delayed.
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1 Nanjing University, School of Atmospheric Sciences, Nanjing, P. R. China (GRID:grid.41156.37) (ISNI:0000 0001 2314 964X)
2 Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Department of Earth, Cambridge, USA (GRID:grid.116068.8) (ISNI:0000 0001 2341 2786)
3 University of Iowa, Department of Chemical and Biochemical Engineering, Iowa City, USA (GRID:grid.214572.7) (ISNI:0000 0004 1936 8294); Geological and Mining Engineering and Sciences, Michigan Technological University, Houghton, USA (GRID:grid.259979.9) (ISNI:0000 0001 0663 5937)
4 Geological and Mining Engineering and Sciences, Michigan Technological University, Houghton, USA (GRID:grid.259979.9) (ISNI:0000 0001 0663 5937); Civil and Environmental Engineering, Michigan Technological University, Houghton, USA (GRID:grid.259979.9) (ISNI:0000 0001 0663 5937)
5 Centre for Earth Observation Science, Department of Environment and Geography, University of Manitoba, Winnipeg, Canada (GRID:grid.21613.37) (ISNI:0000 0004 1936 9609)
6 Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, Shanghai, P. R. China (GRID:grid.22069.3f) (ISNI:0000 0004 0369 6365)
7 School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing, P. R. China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178); State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, P. R. China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178)
8 State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, P. R. China (GRID:grid.458468.3) (ISNI:0000 0004 1806 6526)