China Meteorological Administration, Institute of Urban Meteorology, Beijing 100089, China; Beijing Shangdianzi Regional Atmosphere Watch Station, Beijing 100089, China.
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Chinese Academy of Sciences, Institute of Atmospheric Physics, Beijing 100029, China.
J Environ Sci (China). 2023 Aug;130:37-51. doi: 10.1016/j.jes.2022.06.033. Epub 2022 Jul 9.
This study analyzes the impact of circulation types (CTs) on ozone (O) pollution in Beijing. The easterly high-pressure (SWW) circulation occurred most frequently (30%; 276 day), followed by northwesterly high-pressure (AN) circulation (24.3%; 224 day). The SWW type had the highest O anomaly of +17.28 µg/m, which was caused by excellent photochemical reactions, poor diffusion ability and regional transport. Due to the higher humidity and precipitation in the low-pressure type (C), the O increase (+8.02 µg/m) was less than that in the SWW type. Good diffusion/wet deposition and weak formation ability contributed to O decrease in AN (-12.54 µg/m) and northerly high-pressure (ESN) CTs (-12.26 µg/m). The intra-area transport of O was significant in polluted circulations (SWW- and C-CTs). In addition, higher temperature, radiation and less rainfall also contributed to higher O in northern Beijing under the SWW type. For the clean CTs (AN and ESN CTs), precursor amount and intra-area transport played a dominant role in O distribution. Under the northeasterly low-pressure CT, better formation conditions and higher precursor amount combined with the intra-area southerly transport to cause higher O values in the south than in the north. The higher O in the northwestern area under the northeasterly high-pressure type was influenced by weaker titration loss and high O concentration in previous day. Annual variation in the CTs contributed up to 86.1% of the annual variation in O. About 78%-83% of the diurnal variation in O resulted from local meteorological factors.
本研究分析了环流类型(CTs)对北京地区臭氧(O)污染的影响。东风高压(SWW)环流出现的频率最高(30%,276 天),其次是西北风高压(AN)环流(24.3%,224 天)。SWW 型具有最高的 O 异常值+17.28μg/m,这是由于光化学反应良好、扩散能力差和区域传输造成的。由于低压型(C)的湿度和降水较高,O 的增加(+8.02μg/m)小于 SWW 型。良好的扩散/湿沉降和较弱的形成能力导致 AN(-12.54μg/m)和北风高压(ESN)CTs(-12.26μg/m)中 O 的减少。在污染环流(SWW 和 C-CTs)中,O 发生了显著的区域内输送。此外,较高的温度、辐射和较少的降雨也导致了北京北部在 SWW 型下 O 浓度较高。对于清洁 CTs(AN 和 ESN CTs),前体物量和区域内输送对 O 的分布起主导作用。在东北低压 CT 下,更好的形成条件和更高的前体物量与区域内南风输送相结合,导致南部的 O 浓度高于北部。东北高压型下西北部地区的 O 浓度较高,这是由于滴定损失较弱和前一天 O 浓度较高的影响。CTs 的年变化对 O 的年变化贡献高达 86.1%。约 78%-83%的 O 日变化是由当地气象因素引起的。