Comparisons of ambient air particulates concentrations (TSP,PM2.5) and dry depositions during smog and non-smog periods at Luliao,Shalu District sampling site

The concentrations of ambient total suspended particulates (TSP) and PM_2.5, and the dry depositions at a sample site at Luliao Junior High School (Luliao) in central Taiwan were measured during smog and non-smog days between December 2017 and July 2018. The results are compared to those obtained during non-smog periods in the years 2015–2017. The mean TSP and PM_2.5 concentrations and dry deposition flux were 72.41?±?26.40, 41.88?±?23.51?μg/m³, and 797.57?±?731.46?μg/m² min, respectively, on the smog days. The mean TSP and PM_2.5 concentrations and dry deposition flux on the non-smog days were 56.39?±?18.08, 34.81?±?12.59?μg/m³ and 468.93?±?600.57?μg/m² min, respectively. The mean TSP concentration in the smog period was 28% greater than that in the non-smog period, and the mean PM_2.5 concentration was 20% higher. The mean dry deposition flux in the smog period was 70% higher than that in the non-smog period at Luliao. The PM_2.5 concentrations exceeded the standards set by the Taiwan EPA (35?μg/m³ daily, and 15?μg/m³ annually). Therefore, the TSP and PM_2.5 concentrations and dry deposition must be reduced in central Taiwan on smog days. In addition, atmospheric TSP and PM_2.5 concentrations at various sampling sites were compared, and those herein were not higher than those measured in other countries. Finally, apart from the local traffic emissions, during smog periods, the other pollution source originated from the transportation process of traffic pollutants emitted in the northwest side of Taiwan.     

常州市区2013年1月份污染状况与原因探讨研究

2013年1月份,全国大面积爆发雾霾天气,根据常州市区1月份空气质量环境监测数据和气象资料,分析了造成市区1月份空气质量下降的主要原因;气象因素往往制约着大气污染物的稀释、扩散、输送和转化过程,进而影响大气污染物的分布及污染物浓度,降水、风速、温度、相对湿度、天气形势对大气污染时空分布均会造成影响;气象因素与大气污染的特征及其相互关系研究可以为有关部门制定防治大气污染、保护城市生态环境的决策提供科学、有效的依据,更好的提高人民生活质量。     

高温烟火导致直升机坠毁分析

介绍了一架直升机在执行森林灭火任务时坠毁的事故经过和调查过程,并进行了原因分析,认为导致事故发生的罪魁祸首是火场上空的高温烟火.在此基础上论述了高温烟火对直升机的危害,提出了直升机在火场环境中的飞行防护对策.     

珠三角空气质量暨光化学烟雾数值预报系统

基于中尺度气象模式(MM5)、排放源模式(SMOKE)和大气化学模式(CMAQ),耦合本地排放源清单,建立了珠三角区域空气质量数值模式预报系统。该套模式系统对清洁、污染过程的一次、二次污染物都有较好的预报能力。冬季,能见度和PM_(2.5)的预报值和观测值的相关系数最高达0.76和0.78。O_3和NO_x的预报值和观测值的相关系数为0.64和0.61。随着预报时效的增加,预报效果没有明显降低。夏季,在2个典型光化学过程中,O_3的预报值和观测值的相关系数分别为0.68和0.81,NO_x分别为0.57和0.64。在相关的边界层气象因子中,地表通风系数和能见度相关度最高,相关系数达0.71。混合层高度、地面风速、比湿和能见度的相关系数分别为0.55、0.50、和-0.37。在灰霾过程中,PM_(2.5)占PM_(10)的质量浓度为78%。在气溶胶质量权重中,硫酸盐所占的比重最高,占PM_(2.5)权重达到33%,元素碳为18%,有机碳为14%,铵盐为5%,硝酸盐仅为1%。灰霾过程的二次气溶胶的质量权重比清洁过程的大。     

Traffic emission and its impact on air quality in Guangzhou area

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NO2对二甲苯光氧化生成SOA及其吸光度影响

NO₂是大气中常见污染气体,影响大气二次有机气溶胶（Secondary organic aerosol,SOA）的形成.运用实验室烟雾箱模拟二甲苯大气光氧化反应过程,研究NO₂对二甲苯SOA生成量、光学特性和化学组成的影响.结果显示,NO₂促进二甲苯SOA的形成,NO₂浓度从0增长到900×10^-9,二甲苯SOA的质量浓度增长2倍左右,并且邻二甲苯SOA质量浓度大于对二甲苯SOA.这是因为邻位取代基相比于对位取代基更倾向于形成醛,有利于聚合反应形成低聚物,促进SOA形成.此外,NO₂浓度增加显著提高所生成SOA的单位质量吸光度（Mass absorption coefficients,MAC）,这是由于前体物邻二甲苯和对二甲苯化学结构不同,邻二甲苯所生成的含氮有机物具有更强吸光性,从而导致邻二甲苯SOA的MAC_{λ=365 nm}大于对二甲苯SOA的MAC_{λ=365 nm}.在线气溶胶质谱仪分析结果进一步显示：二者光化...     

仲丁醇对苯乙烯臭氧化反应生成二次有机气溶胶的影响:实验和模型研究

通过烟雾箱实验,研究了仲丁醇对苯乙烯臭氧化反应生成二次有机气溶胶(SOA)的影响.结果发现,在烟雾箱实验中,过量仲丁醇的加入导致生成SOA的产率明显下降.同时,结合MCM气相机理和气-粒分配理论,将Criegee中间体与醛类的双分子反应添加到箱式模型中模拟烟雾箱中SOA的生成过程.模拟结果表明,在没有仲丁醇存在的情况下,次级臭氧化物在SOA组分中占1/2左右的比例.仲丁醇的加入消耗了大量的·OH,同时使得[HO_2]/[RO_2]比值升高,影响自由基相关的反应机制,使得SOA产率下降.另外,研究发现,Criegee中间体与醛类反应的速率常数也是影响SOA生成模拟的一个重要参数,需要进一步开展相关的动力学实验和理论研究.     

氨对甲苯二次有机气溶胶形成和化学组分的影响研究

氨(NH_3)是大气中常见的主要碱性污染气体,能够影响二次有机气溶胶(SOA)的形成和化学组分.本文利用自制的烟雾腔系统开展了NH_3对甲苯SOA形成和化学组分的影响研究,先后采用扫描移动粒径谱仪(SMPS)、气溶胶激光飞行时间质谱仪(ALTOFMS)、紫外-可见分光光度计(UV-Vis)、衰减全反射傅里叶变换红外光谱仪(ATR-FTIR)和荧光光谱仪(MF)测量反应产生的SOA粒子的物理化学性质.结果显示,在光照60 min的时间范围内,有NH_3条件下形成的SOA质量浓度和中心粒径相比于无NH_3条件下分别增加了50%和25%,这说明NH_3能够显著促进甲苯SOA的形成.与无NH_3条件下相比,NH_3存在时甲苯SOA化学组分的紫外可见吸收光谱在270 nm处有明显的吸收峰;红外吸收光谱出现了CN、C—N、N—H键的吸收峰;激光解吸附质谱图中含有m/z=67(C_3H_3N_2~+)、m/z=41(C_2H_2N~+)和m/z=28(CH2N+)碎片峰.这些谱图信息综合表明是NH_3和甲苯SOA中的二醛组分反应形成了咪唑类新产物.这为研究人为源SOA的形成机制提供了实验依据.     

Size distribution and chemical composition of secondary organic aerosol formed from Cl-initiated oxidation of toluene

Secondary organic aerosol (SOA) formed from Cl-initiated oxidation of toluene was investigated in a home-made smog chamber. The size distribution and chemical composition of SOA particles were measured using aerodynamic particle sizer spectrometer and the aerosol laser time-of-flight mass spectrometer (ALTOFMS), respectively. According to a large number of single aerosol diameter and mass spectra, the size distribution and chemical composition of SOA were obtained statistically. Experimental results showed that SOA particles created by Cl-initiated oxidation of toluene is predominantly in the form of fine particles, which have diameters less than 2.5 m (i.e., PM2.5), and glyoxal, benzaldehyde, benzyl alcohol, benzoquinone, benzoic acid, benzyl hydroperoxide and benzyl methyl nitrate are the major products components in the SOA. The possible reaction mechanisms leading to these products are also proposed.     

Peroxyacetyl nitrate (PAN) in the urban atmosphere

Peroxyacetyl nitrate (PAN) in air has been well known as the indicator of photochemical smog due to its frequent occurrences in Seoul metropolitan area. This study was implemented to assess the distribution characteristics of atmospheric PAN in association with relevant parameters measured concurrently. During a full year period in 2011, PAN was continuously measured at hourly intervals at two monitoring sites, Gwang Jin (GJ) and Gang Seo (GS) in the megacity of Seoul, South Korea. The annual mean concentrations of PAN during the study period were 0.64 ± 0.49 and 0.57 ± 0.46 ppb, respectively. The seasonal trends of PAN generally exhibited dual peaks in both early spring and fall, regardless of sites. Their diurnal trends were fairly comparable to each other. There was a slight time lag (e.g., 1 h) in the peak occurrence pattern between O₃ and PAN, as the latter trended to peak after the maximum UV irradiance period (16:00 (GJ) and 17:00 (GS)). The concentrations of PAN generally exhibited strong correlations with particulates. The results of this study suggest that PAN concentrations were affected sensitively by atmospheric stability, the wet deposition of NO₂, wind direction, and other factors.