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Modeling the impact of marine DMS emissions on summertime air quality over coastal China
Citation:
Li, S., G. Sarwar, Y. Zhang, J. Zhao, S. Zhou, Y. Chen, G. Yang, AND A. Saiz-Lopez. Modeling the impact of marine DMS emissions on summertime air quality over coastal China. JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES. American Geophysical Union, Washington, DC, 11(8):849, (2020). https://doi.org/10.3390/atmos11080849
Impact/Purpose:
Biogenic emission of dimethyl sulfide (DMS) from seawater is the major natural source of sulfur into the atmosphere. In this study, we use an advanced air quality model with DMS chemistry to examine the impact of DMS emissions from seawater on summertime air quality over China. A local database of DMS concentration in seawater is established based on a five-year observational record in the East China seas including the Bohai Sea, the Yellow Sea and the East China Sea. We employ a commonly used global database and also the newly developed local database of oceanic DMS concentration, calculate DMS emissions using three different parameterization schemes, and perform five different model simulations for a summer month. Results indicate that the global database significantly underestimates DMS concentrations in China's coastal waters and subsequently DMS emissions in the atmosphere. In large coastal areas of China, the average DMS emissions flux obtained with the local database is three times higher than that resulting from the global database. The total DMS emissions flux calculated with the Nightingale scheme is 42% higher than that obtained with the Liss and Merlivat scheme, but is 15% lower than that obtained with the Wanninkhof scheme. Among the three parameterizations, results of the Liss and Merlivat scheme agree better with the ship-based observations over China’s coastal waters. DMS emissions with Liss and Merlivat parametrization increase atmospheric sulfur dioxide (SO2) and sulfate (SO42-) over the East China seas by 6.4% and 3.3%, respectively. Our results indicate that although the anthropogenic source is still the dominant contributor of atmospheric sulfur burden in China, biogenic DMS emissions source is nonnegligible.
Description:
Biogenic emission of dimethyl sulfide (DMS) from seawater is the major natural source of sulfur into the atmosphere. In this study, we use an advanced air quality model with DMS chemistry to examine the impact of DMS emissions from seawater on summertime air quality over China. A local database of DMS concentration in seawater is established based on a five-year observational record in the East China seas including the Bohai Sea, the Yellow Sea and the East China Sea. We employ a commonly used global database and also the newly developed local database of oceanic DMS concentration, calculate DMS emissions using three different parameterization schemes, and perform five different model simulations for a summer month. Results indicate that the global database significantly underestimates DMS concentrations in China's coastal waters and subsequently DMS emissions in the atmosphere. In large coastal areas of China, the average DMS emissions flux obtained with the local database is three times higher than that resulting from the global database. The total DMS emissions flux calculated with the Nightingale scheme is 42% higher than that obtained with the Liss and Merlivat scheme, but is 15% lower than that obtained with the Wanninkhof scheme. Among the three parameterizations, results of the Liss and Merlivat scheme agree better with the ship-based observations over China’s coastal waters. DMS emissions with Liss and Merlivat parametrization increase atmospheric sulfur dioxide (SO2) and sulfate (SO42-) over the East China seas by 6.4% and 3.3%, respectively. Our results indicate that although the anthropogenic source is still the dominant contributor of atmospheric sulfur burden in China, biogenic DMS emissions source is nonnegligible.
URLs/Downloads:
DOI: Modeling the impact of marine DMS emissions on summertime air quality over coastal China
https://www.mdpi.com/2073-4433/11/8/849#cite