PM2.5 episodes in northern Taiwan under southerly winds in late winter

IF 4.5 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Atmospheric Research Pub Date : 2024-09-10 DOI:10.1016/j.atmosres.2024.107686
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Abstract

When northern Taiwan is influenced locally, PM2.5 events occur in specific conditions. If it is also affected by long-range transport from mainland China in the northwest, the probability of these PM2.5 events increases. The current study applies WRF/CMAQ to study such case but focus on the local. From April 7 to 9, 2019, the Pacific high pressure extended westward, causing the prevailing weak southerly wind near Taiwan. The intensity of the Pacific high pressure weakened, and the wind speed near Taiwan also weakened. Therefore, the PM2.5 concentration in Taiwan increased. In northern Taiwan, the hourly PM2.5 concentration will inevitably increase to approximately 70 μg m−3. The ISAM of the CMAQ model demonstrates that local contributions to daily PM2.5 concentrations at the four representative monitoring stations in northern Taiwan are 3.5 to 16.2 μg m−3, greater than those from central, southern, and eastern Taiwan, from 1.8 to 6.7 μg m−3. We use the integrated process rate (IPR) and integrated reaction rate (IRR) of CMAQ to explore the formation mechanisms of PM2.5. The main causes of the increase in PM2.5 concentration are horizontal advection (HADV), aerosol processes (AERO), emissions (EMIS), and a small amount of cloud processes and aqueous chemistry (CLDS). The main source of NO3 is the reaction between OH and NO2 during the day and the reaction between N2O5 and water vapor at night. The gaseous HNO3 concentration reaches a peak near noon or soon after. The aerosol ANO3 concentration is high in the early morning. We also use the Sulfur Tracking Method (STM) of CMAQ to explore the sources of SO42−. Mainly it is from the local reaction of SO2 and H2O2. Finally, we apply AERO7 in CMAQ to explore the main sources of carbon components. The organic carbon (OC) concentration is much greater than the element carbon (EC) concentration, which indicates a strong local photochemical effect in northern Taiwan. OC mainly comes from low-volatility/semivolatile oxidized combustion OC, followed by low-volatility/semivolatile POA. Similar weather conditions occur in autumn, winter, and spring. When the weak southerly wind was around Taiwan, PM2.5 in northern Taiwan was noticed.

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冬末南风下台湾北部的 PM2.5 事件
当台湾北部受到本地影响时,PM2.5 事件会在特定条件下发生。如果同时受到西北部中国大陆长程输送的影响,这些 PM2.5 事件发生的概率就会增加。本研究采用 WRF/CMAQ 对此类情况进行研究,但侧重于本地。2019年4月7日至9日,太平洋高压西伸,造成台湾附近盛行弱偏南风。太平洋高压强度减弱,台湾附近风速也减弱。因此,台湾的 PM2.5 浓度有所上升。在台湾北部,每小时的 PM2.5 浓度将不可避免地增加到约 70 μg m-3。CMAQ 模型的 ISAM 表明,台湾北部四个代表性监测站的 PM2.5 日浓度的本地贡献为 3.5 至 16.2 μg m-3,高于台湾中部、南部和东部的 1.8 至 6.7 μg m-3。我们利用CMAQ的综合过程速率(IPR)和综合反应速率(IRR)来探讨PM2.5的形成机制。PM2.5 浓度增加的主要原因是水平平流(HADV)、气溶胶过程(AERO)、排放(EMIS)以及少量的云过程和水化学过程(CLDS)。NO3- 的主要来源是白天 OH 与 NO2 的反应和夜间 N2O5 与水蒸气的反应。气态 HNO3 浓度在接近中午或中午后不久达到峰值。气溶胶 ANO3 浓度在清晨较高。我们还使用 CMAQ 的硫跟踪法(STM)来探索 SO42- 的来源。它主要来自 SO2 和 H2O2 的局部反应。最后,我们应用 CMAQ 中的 AERO7 来探索碳成分的主要来源。有机碳(OC)浓度远高于元素碳(EC)浓度,表明台湾北部局地光化学效应较强。OC 主要来自低挥发性/半挥发性氧化燃烧 OC,其次是低挥发性/半挥发性 POA。秋、冬、春三季的天气状况相似。当弱南风环绕台湾时,台湾北部的 PM2.5 受到关注。
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来源期刊
Atmospheric Research
Atmospheric Research 地学-气象与大气科学
CiteScore
9.40
自引率
10.90%
发文量
460
审稿时长
47 days
期刊介绍: The journal publishes scientific papers (research papers, review articles, letters and notes) dealing with the part of the atmosphere where meteorological events occur. Attention is given to all processes extending from the earth surface to the tropopause, but special emphasis continues to be devoted to the physics of clouds, mesoscale meteorology and air pollution, i.e. atmospheric aerosols; microphysical processes; cloud dynamics and thermodynamics; numerical simulation, climatology, climate change and weather modification.
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