Multiple parameters have been suggested to influence the exchange of mercury (Hg) between the atmosphere and soils. However, models applied for estimating soil Hg flux are simple and do not consider the potential synergistic and antagonist relationships between factors controlling the exchange. This study applied a two-level factorial experimental design in a gas exchange chamber (GEC) to investigate the individual and combined effects of three environmental factors (temperature, light, and soil moisture) on soil Hg flux. It was shown that individually irradiation, soil moisture, and air temperature all significantly enhance Hg evasive flux (by 90-140%). Synergistic effects (20-30% of additional flux enhancement) were observed for all two-factor interactions, with air temperature/soil moisture and air temperature/irradiation being the most significant. Results from the factorial experiments suggest that a model incorporating the second-order interactions can appropriately explain the flux response to the changes of the studied factors. Based on the factorial experiment results and using the flux data for twelve soil materials measured with a dynamic flux chamber (DFC) at various temperatures, soil moisture contents, solar radiation exposures, and soil Hg contents, two empirical models for estimating Hg flux from soils were developed. Model verification with ambient flux data not used to develop the models suggested that the models were capable of estimating dry soil Hg flux with a high degree of predictability (r ∼ 0.9).
Application of a regional model to study of fate and transport of a global pollutant such as mercury in the atmosphere can be challenging and improper usage of models may lead to questionable results. The difficulties in such application stem from the fact that regional models are usually used in relatively small domains and rely heavily on initial and boundary conditions (IC/BC) provided by global models where atmospheric physics and chemical mechanisms are generally diverse. This problem is particularly apparent for a persistent air pollutant such as mercury. In this study, a conventional application of the CMAQ (Community Multi-scale Air Quality) modeling system on regional scale was extended towards a hemispheric scale. Two simulations were performed using different IC/BC obtained from two global models. In terms of model evaluation, aircraft measurements of total gaseous mercury (TGM) concentration as well as mercury concentration and deposition data from ground-based measurements were used altogether in comparisons with the model simulations. The model results suggested an improvement in performance, as evidenced by a better circulation of the pollutant in Northern hemisphere relative to regional-scale simulations performed in our previous work. In this study, the simulation results using the two different inputs were found to be convergent as the simulation time progressed. The model results also suggested that BC has much weaker influence on the simulation results in a hemispheric domain than that on our previous regional assessment where BC was found to be one of the most important factors. In addition, mitigations of influences from IC/BC on model results in a hemispheric domain and implication of peaks of TGM concentration evident in aircraft measurement are also discussed
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.