Abstract

Abstract. Gaseous elemental mercury is a global pollutant that can lead to serious health concerns via deposition to the biosphere and bio-accumulation in the food chain. Hourly measurements between June 2004 and May 2005 in an urban site (Milwaukee, WI) show elevated levels of mercury in the atmosphere with numerous short-lived peaks as well as longer-lived episodes. The measurements are analyzed with an inverse model to obtain information about mercury emissions. The model is based on high resolution meteorological simulations (WRF), hourly back-trajectories (WRF-FLEXPART) and a chemical transport model (CAMx). The hybrid formulation combining back-trajectories and Eulerian simulations is used to identify potential source regions as well as the impacts of forest fires and lake surface emissions. Uncertainty bounds are estimated using a bootstrap method on the inversions. Comparison with the US Environmental Protection Agency's National Emission Inventory (NEI) and Toxic Release Inventory (TRI) shows that emissions from coal-fired power plants are properly characterized, but emissions from local urban sources, waste incineration and metal processing could be significantly under-estimated. Emissions from the lake surface and from forest fires were found to have significant impacts on mercury levels in Milwaukee, and to be underestimated by a factor of two or more.

Highlights

  • Elemental mercury emitted to the atmosphere has a lifetime ranging from one half to two years (Lindberg et al, 2007; Schroeder and Munthe, 1998) making it a global pollutant

  • Because gaseous elemental mercury is a long-lived species, we can assume a linear relationship between an emissions vector x and the measurements y given by the sensitivity matrix H (Rigby et al, 2011; Brioude et al, 2011; Stohl et al, 2009; Lauvaux et al, 2008): y = Hx + residual

  • This paper developed a hybrid inversion scheme based on particle back-trajectories and forward Eulerian modeling to evaluate sources of elemental mercury using atmospheric measurements in Milwaukee

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Summary

Introduction

Elemental mercury emitted to the atmosphere has a lifetime ranging from one half to two years (Lindberg et al, 2007; Schroeder and Munthe, 1998) making it a global pollutant. Manolopoulos et al (2007a) made year long measurements at a rural site and found significant impacts from a local coal-fired power plant on reactive gaseous mercury, but not elemental mercury They recommend the use of receptor-based monitoring to account for small-scale sources and processes that cannot be represented in large-scale Eulerian models. We develop a method that is a variant of the inversion method described in Stohl et al (2009) with elements of the two-step approach of Rigby et al (2011) and the varying resolution method of Manning et al (2011) This hybrid inverse model is used to evaluate a range of sources of mercury: local, regional and distant sources, forest fires and lake surface emissions. We use a time scale analysis (Section 4.2) to evaluate the limits in temporal resolution of the inverse method and thereby improve the emissions estimate of local sources

Measurements
Meteorological simulations
Inverse method
Comparison with Bayesian derivation
Model uncertainty
Full inverse
Impacts of estimated source groups on average GEM concentrations
Comparison with the Toxic Release Inventory and National Emissions Inventory
Findings
Conclusions

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