The effect of precipitation on gaseous oxidized and elemental mercury concentrations as quantified by two types of atmospheric mercury measurement systems
Peter S. Weiss-Penzias, Seth N. Lyman, Tyler Elgiar, Lynne E. Gratz, Winston T. Luke, Gabriel Quevedo, Nicole Choma and Mae Sexauer Gustin
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引用次数: 0
Abstract
Gaseous and particulate-bound oxidized mercury (Hg) compounds (HgII) have high solubility in precipitation compared to gaseous elemental Hg (Hg0). Wet and dry deposition are the primary routes of entry for atmospheric HgII into aquatic ecosystems. Information on how much HgII is removed from the atmosphere to the landscape during precipitation is lacking. In this study, oxidized HgII concentrations were measured with a dual-channel system (DCS) at two sites in the United States, Storm Peak Laboratory (SPL), in Colorado (2021–2022), and Beltsville (MD99) in Maryland (2022–2024), and compared with data from 16 co-located Atmospheric Mercury Network (AMNet) and Mercury Deposition Network (MDN) sites that used a KCl denuder method. At the two DCS sites, gaseous oxidized Hg concentrations were segregated by wet and dry periods from the nearest precipitation gauge to determine values for median dry HgII and median wet HgII concentrations (dry-wet = “HgII washout”) for each site. SPL had higher median ambient HgII and higher median HgII washout (90 pg m−3 and 22 pg m−3, respectively) compared to that for MD99 (43 pg m−3 and 7 pg m−3). This difference could be due to site elevation (3161 vs. 77 m) as there is generally more HgII higher in the atmosphere. In contrast, the ambient HgII/washout HgII ratios were more similar, 4.1 for SPL and 5.8 at MD99. The mean ambient HgII/washout HgII ratio for the 16 AMNet sites was 1.8 ± 0.1. The AMNet HgII data are known to be biased low due to issues with the KCl-denuder method, and this low bias appears to result in lower ambient HgII/washout HgII ratio observed for the AMNet sites. Correction factors for AMNet data using HgII measurements from DCS instruments were found to range from 2–3 and could be used to improve the accuracy of older data.