An Junlin, Zou Jianan, Wang Junxiu, Lin Xu, Zhu Bin
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Environ Sci Pollut Res Int. 2015 Dec;22(24):19607-17. doi: 10.1007/s11356-015-5177-0. Epub 2015 Aug 15.
Rapid economic growth has led to a significant increase in ozone (O3) precursor emissions in many regions of China. Improved understanding of O3 formation in response to different precursor emissions is imperative to address the highly nonlinear O3 problem and to provide a solid scientific basis for efficient O3 abatement in these regions. A comparative study was conducted in summer using a set of observational data at urban and suburban sites in Nanjing. The results showed that high O3 concentrations were frequently encountered at both sites. The probability distributions of O3 in both sites show a fair resemblance to each other, suggesting strong regional mixing over the polluted Nanjing. A distinction between the characteristics of O3 precursors has been found at different sites. During the observation period, O3 concentrations varied monthly, reaching a minimum in June and peaking in August. The daily maximum O3 concentration was found to exceed 80 ppb for 27 days at residential area (RA), whereas it only exceeded 80 ppb for 22 days at industrial area (IA), 16 days at traffic area (TA), and 14 days at commercial area (CA). This pattern suggests a higher continuous ozone exposure risk at RA. The daily maximum O3 concentrations at different sites were 135.1 ppb (IA), 134.1 ppb (RA), 129.2 ppb (TA), and 110.6 ppb (CA), respectively. The daily maximum O3 concentration occurred at 16:00 in IA, at 17:00 in TA and CA, and at 18:00 in RA. Nitrogen dioxide (NO2) and carbon monoxide (CO) showed similar double-peak diurnal cycles. NO2 showed maximum values in June and minimum values in July. CO showed a similar diurnal variation to NO2. This effect may be explained by their common sources and the similar chemical losses. During the day, O3 tended to rapidly increase during the morning, reaching a maximum value of 9-11 ppb h(-1). The differences in O3 and NO2 between workdays and weekends were small. The CO levels were higher on weekdays than on weekends in urban areas and were higher on weekends than on weekdays in suburban areas. A sensitivity study performed with an observation-based model (OBM) showed alkenes to be the largest contributor to O3 production. The production of O3 in the Nanjing area is generally limited by volatile organic compounds (VOCs), whereas high nitric oxide (NO) concentrations suppress O3 concentrations.
快速的经济增长导致中国许多地区的臭氧(O₃)前体物排放量显著增加。更好地理解不同前体物排放对O₃形成的影响,对于解决高度非线性的O₃问题以及为这些地区有效减少O₃排放提供坚实的科学依据至关重要。夏季利用南京市区和郊区站点的一组观测数据进行了一项对比研究。结果表明,两个站点均频繁出现高O₃浓度。两个站点O₃的概率分布彼此非常相似,表明在受污染的南京地区存在强烈的区域混合。已发现不同站点O₃前体物特征存在差异。在观测期内,O₃浓度逐月变化,6月达到最低值,8月达到峰值。在居民区(RA),日最大O₃浓度有27天超过80 ppb,而在工业区(IA)仅22天超过80 ppb,在交通区(TA)为16天,在商业区(CA)为14天。这种模式表明RA的连续臭氧暴露风险更高。不同站点的日最大O₃浓度分别为135.1 ppb(IA)、134.1 ppb(RA)、129.2 ppb(TA)和110.6 ppb(CA)。IA的日最大O₃浓度出现在16:00,TA和CA出现在17:00,RA出现在18:00。二氧化氮(NO₂)和一氧化碳(CO)呈现出相似的双峰日变化周期。NO₂在6月出现最大值,7月出现最小值。CO呈现出与NO₂相似的日变化。这种效应可能是由它们共同的来源和相似的化学损失来解释。白天,O₃在上午往往迅速增加,达到最大值9 - 11 ppb h⁻¹。工作日和周末的O₃和NO₂差异较小。市区工作日的CO水平高于周末,郊区周末的CO水平高于工作日。基于观测的模型(OBM)进行的敏感性研究表明,烯烃是O₃生成的最大贡献者。南京地区O₃的生成总体上受挥发性有机化合物(VOCs)限制,而高浓度的一氧化氮(NO)抑制O₃浓度。