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Modeling the Impact of Marine DMS Emissions on Summertime Air Quality Over the Coastal East China Seas

机译:沿海东海洋夏季空气质量模拟海洋DMS排放的影响

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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 (CMAQv5.2) with DMS chemistry to examine the impact of DMS emissions from seawater on summertime air quality over China. A national scale database of DMS concentration in seawater is established based on a 5‐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 July, 2018. Results indicate that in large coastal areas of China, the average DMS emissions flux obtained with the local database is 3 times higher than that resulting from the global database, with a mean value of 9.1?μmol?m?2?day?1 in the Bohai Sea, 8.4?μmol?m?2?day?1 in the Yellow Sea, and 13.4?μmol?m?2?day?1 in the East China Sea. 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 the Liss and Merlivat parametrization increase atmospheric sulfur dioxide (SO2) and sulfate (SO42?) concentration 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.
机译:来自海水的二甲基硫醚(DMS)的生物发射是大气中硫的主要天然来源。在这项研究中,我们使用高级空气质量模型(CMAQV5.2),DMS化学来检查DMS排放对海水的影响,以夏季空气质量。海水中DMS浓度的全国规模数据库是基于在中国东海的5年的观测记录,包括渤海,黄海和东海。我们采用常用的全球数据库,以及新开发的海洋DMS浓度数据库,使用三种不同的参数化方案计算DMS排放,并在2018年7月进行五种不同的模型模拟。结果表明,在中国的大沿海地区,使用本地数据库获得的平均DMS排放量度比全球数据库所得到的3倍,平均值为9.1?μmol?m?2?日?1在渤海,8.4?μmol?m?2?日?1在黄海中,13.4?μmol?m?2?日?1在东海。随着夜莺方案计算的DMS排放量的总量比用LISS和MERLIVAT方案获得的42%,但比Wanninkhof方案获得的15%低15%。在三个参数中,Liss和Merlivat计划的结果更好地与中国沿海水域的船舶观察更好。 DMS排放具有LISS和MERLIVAT参数化,分别将华氏海洋浓度增加了6.4%和3.3%,将大气压二氧化硫(SO2)和硫酸盐(SO42?)浓度增加了6.4%和3.3%。我们的结果表明,虽然人为源仍是中国大气硫负担的主导贡献者,但生物生物DMS排放来源是非不可止病的。

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