首页> 外文期刊>Atmospheric Chemistry and Physics Discussions >Ship-based MAX-DOAS measurements of tropospheric NO2, SO2, and HCHO distribution along the Yangtze River
【24h】

Ship-based MAX-DOAS measurements of tropospheric NO2, SO2, and HCHO distribution along the Yangtze River

机译:基于船的MAX-DOAS测量的对流层NO2,SO2和沿长江沿域的HCHO分布

获取原文
           

摘要

In this paper, we present ship-based Multi-Axis Differential Optical Absorption Spectroscopy?(MAX-DOAS) measurements of tropospheric trace gases' distribution along the Yangtze River during winter 2015. The measurements were performed along the Yangtze River between Shanghai and Wuhan, covering major industrial areas in eastern China. Tropospheric vertical column densities?(VCDs) of nitrogen dioxide?(NO2), sulfur dioxide (SO2), and formaldehyde?(HCHO) were retrieved using the air mass factor calculated by the radiative transfer model. Enhanced tropospheric NO2 and SO2 VCDs were detected over downwind areas of industrial zones over the Yangtze River. In addition, spatial distributions of atmospheric pollutants are strongly affected by meteorological conditions; i.e., positive correlations were found between concentration of pollutants and wind speed over these areas, indicating strong influence of transportation of pollutants from high-emission upwind areas along the Yangtze River. Comparison of tropospheric NO2 VCDs between ship-based MAX-DOAS and Ozone Monitoring Instrument (OMI) satellite observations shows good agreement with each other, with a Pearson correlation coefficient?(R) of 0.82. In this study, the NO2∕SO2 ratio was used to estimate the relative contributions of industrial sources and vehicle emissions to ambient NO2 levels. Analysis results of the NO2∕SO2 ratio show a higher contribution of industrial NO2 emissions in Jiangsu Province, while NO2 levels in Jiangxi and Hubei provinces are mainly related to vehicle emissions. These results indicate that different pollution control strategies should be applied in different provinces. In addition, multiple linear regression analysis of ambient carbon monoxide?(CO) and odd oxygen?(Ox) indicated that the primary emission and secondary formation of HCHO contribute 54.4±3.7% and 39.3±4.3% to the ambient HCHO, respectively. The largest contribution from primary emissions in winter suggested that photochemically induced secondary formation of HCHO is reduced due to lower solar irradiance in winter. Our findings provide an improved understanding of major pollution sources along the eastern part of the Yangtze River which are useful for designing specific air pollution control policies.
机译:在本文中,我们在2015年冬季展示了船舶的多轴差分光学吸收光谱?(MAX-DOAS)测量沿长江沿长江沿着长江分布的测量。沿着上海和武汉之间的长江进行了测量,覆盖中国东部的主要工业区。使用通过通过辐射转移模型计算的空气质量因子检索二氧化氮α(NO 2),二氧化硫(SO 2)和甲醛α(NO 2),二氧化硫(SO 2)和甲醛α(VCD)。在长江上的工业区的下行区域检测到增强的对流层NO2和SO2 VCD。此外,大气污染物的空间分布受气象条件的强烈影响;即,在这些区域的污染物和风速浓缩之间发现阳性相关性,表明污染物从长江沿着大排放逆风区运输的强烈影响。船舶基于MAX-DOA和臭氧监测仪(OMI)卫星观测之间的对流层NO2 VCD的比较显示了彼此的良好一致性,Pearson相关系数?(R)为0.82。在本研究中,NO2 / SO2比率用于估计工业来源和车辆排放到环境NO2水平的相对贡献。 No2 / SO2比率的分析结果表明江苏省工业No2排放的贡献较高,而江西和湖北省的No2水平主要与车辆排放相关。这些结果表明,不同省份应适用不同的污染控制策略。此外,环境一氧化碳α(CO)和奇数氧气的多元线性回归分析表明,HCHO的主要发射和二次形成分别为环境HCHO贡献54.4±3.7%和39.3±4.3%。冬季初级排放的最大贡献表明,由于冬季太阳太阳辐照度,光化学诱导的HCHO二次形成减少。我们的调查结果对长江东部的主要污染源有所了解,这对于设计特定的空气污染控制政策有用。

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号