Spatiotemporal Variations of Ambient Concentrations of Trace Elements in a Highly Polluted Region of China

Abstract

Anthropogenic emissions of trace elements (TEs) into the atmosphere have warranted global concern due to their adverse effects on human health and the ecosystem. We adapted the Weather Research and Forecasting (WRF) and Models‐3/Community Multiscale Air Quality (CMAQ) modeling system to predict the spatial and temporal concentrations of 11 TEs (arsenic, selenium, lead, cadmium, chromium, nickel, antimony, manganese, cobalt, copper, and zinc) in fine particulate matter (PM2.5) in January, April, July, and October of 2012 over Beijing, Tianjin, and Hebei (BTH) region of Northern China, one of the most polluted areas in China with frequent occurrences of haze episodes. A localized emission inventory that includes both conventional air pollutants and TEs established by our previous study was used in the model. Predicted concentrations of TEs were compared with observations collected at a site located in Beijing Normal University. The results show that arsenic, selenium, lead, copper, nickel, and zinc predictions better agree with observations made in both months. Manganese, antimony, and cobalt simulations display different abilities to reproduce observations between months. Chromium predictions have lower correlation coefficients. Cadmium predictions, similar to previous findings, show the least ability to reproduce observations. According to the model predictions, higher concentrations of TEs are primarily identified in the central and southern areas of the BTH region, and seasonally January sees the highest TEs. Potential causes for high concentrations of TEs were examined by evaluating emissions and contributions from major sources. Finally, specific countermeasures for emissions reduction of TEs were proposed.

Trace Elements From Ocean‐Going Vessels in East Asia: Vanadium and Nickel Emissions and Their Impacts on Air Quality

“…Statistical analysis showed that the revised CMAQ model has acceptable performance with respect to V and Ni predictions, and the simulated Ni level is similar to that reported in Liu et al. (2019).…”

Sulfate formation is dominated by manganese-catalyzed oxidation of SO2 on aerosol surfaces during haze events

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Modeling Transition Metals in East Asia and Japan and Its Emission Sources

“…Nickel et al (2017) simulated the heavy metal concentrations in moss across Europe, as they are toxic to plants (Nagajyoti et al, 2010). Tian et al (2015) developed an anthropogenic emission inventory of toxic heavy metals of TSPs in China, which was evaluated by a transport model and observation data in a highly polluted region of Northern China (Liu et al, 2019). Ying et al (2018) developed both anthropogenic and natural (mineral dust [MD]) inventories of hazardous trace elements in China and evaluated by a transport model and observation data in mega cities in China such as Beijing, Nanjing, and Chengdu.…”