李恒,张洁,贺慧泽,王娇,张宜升,刘晓环

• 1:中国海洋大学环境科学与工程学院
• 2:青岛理工大学环境与市政工程学院
• 3:中国海洋大学海洋环境与生态教育部重点实验室
• 4:崂山实验室海洋生态与环境科学功能实验室

摘要(Abstract)：

海洋源排放的二甲基硫(Dimethylsulfide, DMS)是全球大气硫循环的主要参与者。本研究利用机器学习法构建了夏季东中国海12 km×12 km分辨率海表DMS浓度清单，基于该清单和WRF-CMAQ模型模拟了2016年夏季东中国海DMS的海洋释放和DMS在大气中的物理化学过程，探究了夏季东中国海大气DMS及其氧化产物的浓度特征和主要影响因素。结果表明：海表DMS浓度随离岸距离增大而降低，平均浓度为7.66 nmol/L;与全球海表DMS浓度数据库在东中国海的结果相比，本研究计算的海表DMS浓度是其2～3倍，与观测浓度更为接近，也更好地再现了海表DMS空间分布特征。DMS海-气通量受海表DMS浓度及风速等因素影响，研究海域海洋释放DMS通量为3.0～47.2μmol/(m~2·d)。东中国海夏季大气DMS浓度为1.54～16.73 nmol/m~3,渤海(7.22 nmol/m~3)>东海(5.92 nmol/m~3)>黄海(5.38 nmol/m~3)。大气DMS浓度日变化呈双峰分布，在08:00和18:00左右浓度较高，午间和夜晚浓度较低，这主要与DMS的被大气中自由基的氧化等过程有关；大气DMS的氧化转化使夏季东中国海SO_2、SO_4~(2-)和MSA月均浓度分别升高了0.02～0.92、0.01～1.08、0.01～0.06μg/m~3。

关键词(KeyWords)： 二甲基硫;CMAQ;机器学习;东中国海

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(42175129,U1906215)资助~~

作者(Author): 李恒,张洁,贺慧泽,王娇,张宜升,刘晓环

DOI: 10.16441/j.cnki.hdxb.20230099

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