upload image Leiming Zhang | Environment Canada | Canada | Earth Science-2014 | OMICS International

Title: Regression modeling of gas-particle partitioning of atmospheric oxidized mercury from temperature and relative humidity data

3rd International Conference on Earth Science & Climate Change
July 28-30, 2014, San Francisco, USA

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Abstract

Models describing the partitioning of atmospheric oxidized mercury (Hg(II)) between the gas and fine particulate phases were developed as a function of temperature and relative humidity. The models were derived from regression analysis of the gas-particle partitioning parameters, defined by a partition coefficient (Kp) and Hg(II) fraction in fine particles (fPBM), and temperature and relative humidity data from 10 North American sites. Log(1/Kp) was first modeled as a function of inverse temperature and the model predicted the observed average Kp at 7 of the 10 sites. Discrepancies between the predicted and observed average Kp were found at the sites impacted by large Hg sources. Site-specific equations were also generated using average Kp corresponding to temperature interval data. Strong model R2 were obtained at almost all sites confirming the temperature dependence of Hg(II) partitioning. The effects of relative humidity on gas-particle partitioning of Hg(II) were also investigated because water-soluble gases could partition and undergo reactions in the aerosol aqueous phase. Average fPBM was a strong function of Log(RH) at 4 of the 10 sites when temperatures were within 12-30°C. The relative humidity dependence of Hg(II) partitioning was not observed at all sites. The use of local temperature and relative humidity data to parameterize the gas-particle partitioning of Hg(II) in the proposed models may potentially improve the estimation of mercury cycling in chemical transport models and elsewhere.

Biography

Leiming Zhang is a research scientist at Environment Canada. He received his Bachelor and Master of Science degrees from Nanjing University, China and his Ph.D from York University, Canada. His research covers diverse areas of air quality model development and data analysis and he has published over 80 journal papers.
Leiming.Zhang@ec.gc.ca

upload image Leiming Zhang | Environment Canada | Canada | Earth Science-2014 | OMICS International
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