Open Access
| Issue |
E3S Web of Conferences
Volume 1, 2013
Proceedings of the 16th International Conference on Heavy Metals in the Environment
|
|
|---|---|---|
| Article Number | 07007 | |
| Number of page(s) | 4 | |
| Section | Heavy Metals in the Atmosphere II: “Global/Continental/Oceanic Scales” | |
| DOI | https://doi.org/10.1051/e3sconf/20130107007 | |
| Published online | 23 April 2013 | |
- Bullock, O. R., and L. Jaeglé (2009), Importance of a global scale approach to using regional models in the assessment of source-receptor relationships for mercury, in Mercury Fate and Transport in the Global Atmosphere: Emissions, Measurements, and Models, edited by N. Pirrone and R. P. Mason, 503–517 pp., Springer, New York. [Google Scholar]
- Dastoor, A. P., and D. Davignon (2009), Global mercury modeling at Environment Canada, in Mercury Fate and Transport in the Global Atmosphere: Emissions,Measurements, and Models, edited by N. Pirrone and R. P. Mason, 519–531 pp., Springer, New York. [CrossRef] [Google Scholar]
- Eicher, C L and Brewer, C A, 2001, “Dasymetric mapping and areal interpolation: implementation and evaluation” Cartography and Geographic Information Science 28 125–138 [CrossRef] [Google Scholar]
- Friedli, H. R., et al. (2009), Mercury emissions from global biomass burning: spatial and temporal distribution, in Mercury Fate and Transport in the Global Atmosphere: Emissions, Measurements, and Models, edited by N. Pirrone and R. P. Mason, 193–221 pp., Springer, New York. [Google Scholar]
- Hedgecock I.M., Pirrone N., Trunfio G.A., Sprovieri F., 2006. Integrated mercury cycling, transport and air-water exchange (MECAWEx) model. Journal of Geophysical Research, 111 (D20302). [Google Scholar]
- Kocman D., Horvat M., Pirrone N., Cinnirella S., 2012. Contribution of contaminated sites to the global mercury budget. Environmenta Research (submitted). [Google Scholar]
- Mennis, J. 2003. Generating surface models of population using dasymetric mapping. The Professional Geographer 55: 31–42. [Google Scholar]
- Mennis, J., and T. Hultgren. 2006. D Intelligent Dasymetric Mapping and Its Application to Areal Interpolation. Cartography and Geographic Information Science, Vol. 33, No. 3, 2006, pp. 179–194. [CrossRef] [Google Scholar]
- Pacyna, E.G., Pacyna, J.M., Steenhuisen F., Wilson S., 2006b. Global anthropogenic mercury emission inventory for 2000. Atmospheric Environment, 40: 4048–4063. [Google Scholar]
- Pacyna, E. G., et al., 2010. Global emission of mercury to the atmosphere from anthropogenic sources in 2005 and projections to 2020, Atmospheric Environment, 40(20): 2487–2499. [Google Scholar]
- Pant and Allen, 2007, Bull Environ Contam Toxicol 78: 539–542 [CrossRef] [PubMed] [Google Scholar]
- Pirrone N., Costa P., Pacyna J.M., Ferrara R., 2001. Mercury Emissions to the Atmosphere from Natural and Anthropogenic Sources in the Mediterranean region. Atmospheric Envi-ronment. Vol. 35, 2997–3006. [CrossRef] [Google Scholar]
- Pirrone, N., and R. P. Mason (Eds.) (2010), Mercury Fate and Transport in the Global Atmosphere: Emissions, Measurements, and Models, 637 pp., Springer, New York [Google Scholar]
- Pirrone, N., et al. (2010), Global mercury emissions to the atmosphere from anthropogenic and natural sources, Atmospheric Chemistry and Physics, 10(13): 5951–5964. [Google Scholar]
- Seigneur, C., et al. (2009), The AER/EPRI global chemical transport model for mercury (CTM-HG), in Mercury Fate and Transport in the Global Atmosphere: Emissions, Measurements, and Models, edited by N. Pirrone and R. P. Mason, 589–601 pp., Springer, New York. [CrossRef] [Google Scholar]
- Travnikov, O., and I. Ilyin (2009), The EMEP/MSC-E mercury modeling system, in Mercury Fate and Transport in the Global Atmosphere: Emissions, Measurements, and Models, edited by N. Pirrone and R. P. Mason, 571–587 pp., Springer, New York. [CrossRef] [Google Scholar]
- Wang et al., 2003, The Science of the Total Environment 304: 209–214. [CrossRef] [PubMed] [Google Scholar]
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