戊唑醇粉尘最小点火能试验研究

采用1.2 L哈特曼管爆炸装置分别对粒径小于54μm、74μm、150μm及大于150μm的戊唑醇粉尘进行测试。针对戊唑醇粉尘浓度及粒径范围对其最小点火能的影响,分别进行单因素试验,并对其危险性进行分级。结果表明,保持粒径小于150μm,环境温度为20℃,喷粉压力为0.7 MPa,在质量浓度100~1 300 g/m~3之间,戊唑醇粉尘的最佳敏感质量浓度ρ_m为983.71 g/m~3,此时的最小点火能为404.74 mJ。保持戊唑醇粉尘质量浓度为900 g/m~3,环境温度为20℃,喷粉压力为0.7 MPa不变,粒径小于54μm、74μm、150μm及大于150μm的戊唑醇粉尘的最小点火能分别为10 mJ、100 mJ、400 mJ和1 000 mJ以上。因此,判定戊唑醇粉尘最小点火能属于M2级,为特别着火敏感性。     

舟山潮差带海相沉积物的物理和化学特征

为舟山潮差带海相沉积物固结机理的深入研究提供物质基础,采用激光粒度仪分析了海相沉积物的粒度组成,并测试了海相沉积物的化学元素、化合物种类及其相对含量,还使用X-射线衍射技术分析了海相沉物的矿物组成。结果表明:海相沉积物含水率高、初始孔隙比大、呈流塑状,为低液限粉质黏土;活性指数为12.4,属于活动黏性土,矿物的亲水性较好;全盐含量高达9~11.2 g/kg,阳离子交换能力不强,有机质含量(5.82~12.7 g/kg)较高;pH 值为7.35~8.36,呈弱碱性,加上孔隙水中K+ ,Na+ ,Ca2+ ,Mg2+ 的存在,使得高岭石常不稳定,有向伊利石、蒙脱石或绿泥石转化的趋势。     

北黄海北部海域潮余流的模拟研究

基于二维水动力模型,在仅考虑潮流作用条件下,通过计算欧拉余流和拉格朗日余流并结合粒子追踪方法研究了辽宁大连—朝鲜龙渊郡连线北侧的北黄海北部海域的潮余流结构和粒子运移的趋势。结果表明:欧拉余流和拉格朗日余流流速整体较小,呈现由南向北的流向,但在獐子岛及长山群岛的附近岛屿和朝鲜半岛沿岸的海域欧拉余流和拉格朗日余流流速较大。对比粒子追踪计算的结果与欧拉余流和拉格朗日余流的结果表明,流向与粒子运移路径基本一致。该海湾的余流及粒子运动规律特点对辽东半岛东岸及朝鲜半岛西侧海域的排污及污染控制有重要的借鉴意义。     

石家庄市冬季一次重污染过程分析与反馈效应研究

为深入探究高ρ（PM_2.5）地区重污染过程的发展变化规律,以石家庄市一次重污染过程（2017年1月13-20日）为例,结合空气质量监测数据、PM_2.5组分测试数据、气象观测资料,从重污染发展阶段（简称"P1阶段"）、维持阶段（简称"P2阶段"）和清除阶段（简称"P3阶段"）分析PM_2.5及其化学组分的变化特征、气象条件和高低空天气形势演变特征,并利用WRF-Chem模型定量研究重污染过程气溶胶反馈效应对典型气象要素的影响.结果表明:①此次重污染过程属于逐步累积增长、快速清除型,在P2阶段ρ（PM_2.5）平均值为241.0 μg/m3,最大值为367.5 μg/m3.②P1和P2阶段高低空大气环流配置稳定,大气边界层高度范围为620.6~712.2 m,风速范围为1.3~2.5 m/s,相对湿度范围为60%~80%.③P2阶段SOR（硫氧化率）和NOR（氮氧化率）均为0.3,ρ（SNA）（SNA为SO₄2-、NO₃-和NH₄+的统称）为128.8 μg/m3,占ρ（PM_2.5）的56.2%;OM[有机质,ρ（OM）=ρ（POA）+ρ（SOA）,其中,POA为一次有机气溶胶,SOA为二次有机气溶胶]是除SNA以外的第二大组分,在P1和P3阶段ρ（POA）大于ρ（SOA）,而在P2阶段ρ（SOA）与ρ（POA）相等,均为28.0 μg/m3,表明在重污染过程中二次污染严重;整个污染过程ρ（NO₃-）/ρ（SO₄2-）为1.0,表明石家庄市移动源和固定源对ρ（PM_2.5）贡献相当.④WRF-Chem模型模拟结果表明,太阳辐射量、温度和大气边界层高度受气溶胶反馈效应的影响在P2阶段的下降量分别为75.1 W/m2、2.7℃和109.9 m,比P1阶段分别高33.6%、91.4%和18.6%,比P3阶段分别高147.0%、305.3%和24.1%.研究显示,此次静稳天气下的重污染过程二次污染严重,气溶胶反馈效应整体使得太阳辐射量、温度和大气边界层高度均向不利于污染扩散的趋势发展,造成石家庄市的ρ（PM_2.5）进一步增加.      

卫星遥感AOD反演地面细颗粒物浓度方法与效果

使用2015~2018年MODIS AOD产品融合地表气象资料反演了地面细颗粒物（PM_2.5）浓度,并以反演的PM_2.5浓度为依据,比较了地面PM_2.5观测资料的各种空间插值方法.结果表明：2015~2018年反演的PM_2.5平均浓度与地基观测平均浓度的R²达0.94;干季反演效果好于湿季,珠江三角洲反演效果好于非珠江三角洲地区,原因是湿季天气系统较不稳定,非珠江三角洲地区多山脉和秸秆燃烧,导致气溶胶标高、质量消光效率等假设误差较大.使用4种插值方法对地基观测的PM_2.5浓度进行插值,插值结果大致相当,反距离加权插值法较好,站点分布不均、部分区域站点密度小影响插值效果,建议在站点稀疏地区增加地面PM_2.5观测站点.     

An integrated chemical mass balance and source emission inventory model for the source apportionment of PM2.5 in typical coastal areas

The source apportionment of PM_2.5 is essential for pollution prevention. In view of the weaknesses of individual models, we proposed an integrated chemical mass balance-source emission inventory (CMB-SEI) model to acquire more accurate results. First, the SEI of secondary component precursors (SO₂, NO_x, NH₃, and VOCs) was compiled to acquire the emission ratios of these sources for the precursors. Then, a regular CMB simulation was executed to obtain the contributions of primary particle sources and secondary components (SO₄^2?, NO₃^-, NH₄⁺, and SOC). Afterwards, the contributions of secondary components were apportioned into primary sources according to the source emission ratios. The final source apportionment results combined the contributions of primary sources by CMB and SEI. This integrated approach was carried out via a case study of three coastal cities (Zhoushan, Taizhou, and Wenzhou; abbreviated WZ, TZ, and ZS) in Zhejiang Province, China. The regular CMB simulation results showed that PM_2.5 pollution was mainly affected by secondary components and mobile sources. The SEI results indicated that electricity, industrial production and mobile sources were the largest contributors to the emission of PM_2.5 gaseous precursors. The simulation results of the CMB-SEI model showed that PM_2.5 pollution in the coastal areas of Zhejiang Province presented complex pollution characteristics dominated by mobile sources, electricity production sources and industrial production sources. Compared to the results of the CMB and SEI models alone, the CMB-SEI model completely apportioned PM_2.5 to primary sources and simultaneously made the results more accurate and reliable in accordance with local industrial characteristics.     

Arsenic species in electronic cigarettes: Determination and potential health risk

Human exposure to contaminants from electronic cigarettes(e-cigarettes) and the associated health effects are poorly understood.There has been no report on the speciation of arsenic in e-liquid(solution used for e-cigarettes) and aerosols.We report here determination of arsenic species in e-liquids and aerosols generated from vaping the e-liquid.Seventeen e-liquid samples of major brands,purchased from local and online stores in Canada and China,were analyzed for arsenic species using high-performance liquid chromatography and inductively coupled plasma mass spectrometry.Aerosols condensed from vaping the eliquids were also analyzed and compared for arsenic species.Six arsenic species were detected,including inorganic arsenate(iAs~Ⅴ),arsenite(iAs~Ⅲ),monomethylarsonic acid(MMA),and three new arsenic species not reported previously.In e-liquids,iAs~Ⅲ was detected in 59%,iAs~Ⅴ in 94%,and MMA in 47% of the samples.In the condensate of aerosols from vaping the e-liquids,iAs~Ⅲ was detected in 100%,iAsv in 88%,and MMA in 13% of the samples.Inorganic arsenic species were predominant in e-liquids and aerosols of e-cigarettes.The concentration of iAs~Ⅲ in the condensate of aerosols(median 3.27 μg/kg) was significantly higher than that in the e-liquid(median 1.08 μg/kg) samples.The concentration of inorganic arsenic in the vaping air was approximately 3.4 μg/m~3,which approaches to the permissible exposure limit(10 μg/m~3) set by the United States Occupational Safety and Health Administration(OSHA).According to the Environmental Protection Agency's unit risk factor(4.3 × 10~(-3) per μg/m~3) for inhalation exposure to inorganic arsenic in the air,the estimated excess lung cancer risk from lifetime exposure to inorganic arsenic in the ecigarette vaping air(3.4 μg/m~3),assuming e-cigarette vaping at 1% of the time,is as high as1.5 × 10~(-4).These results raise health concerns over the exposure to arsenic from electronic cigarettes.     

Emissions of intermediate volatility organic compound from waste cooking oil biodiesel and marine gas oil on a ship auxiliary engine

Ship auxiliary engines contribute large amounts of air pollutants when at berth.Biodiesel,including that from waste cooking oil(WCO),can favor a reduction in the emission of primary pollutant when used with internal combustion engines.This study investigated the emissions of gaseous intermediate-volatile organic compounds(IVOCs) between WCO biodiesel and marine gas oil(MGO) to further understand the differences in secondary organic aerosol(SOA) production of exhausts.Results revealed that WCO exhaust exhibited similar IVOC composition and volatility distribution to MGO exhaust,despite the differences between fuel contents.While WCO biodiesel could reduce IVOC emissions by 50% as compared to MGO,and thus reduced the SOA production from IVOCs.The compositions and volatility distributions of exhaust IVOCs varied to those of their fuels,implying that fuel-component-based SOA predicting model should be used with more cautions when assessing SOA production of WCO and MGO exhausts.WCO biodiesel is a cleaner fuel comparing to conventional MGO on ship auxiliary engines with regard to the reductions in gaseous IVOC emissions and corresponding SOA productions.Although the tests were conducted on test bench,the results could be considered as representative due to the widely applications of the test engine and MGO fuel on real-world ships.     

Exploring the formation potential and optical properties of secondary organic aerosol from the photooxidation of selected short aliphatic ethers

Secondary organic aerosol (SOA) formation potential for six kinds of short aliphatic ethers has been studied. The size distribution, mass concentration, and yield of SOA formed by ethers photooxidation were determined under different conditions. The results showed that all six ethers can generate SOA via reaction with OH radicals even under no seed and NO_x-free condition. The mass concentration for six seedless experiments was less than 10 µg/m³ and the SOA yields were all below 1%. The strong increase in the SOA formation was observed when the system contained ammonium sulfate seed particles, while SOA yield decreased under the high-NO_x condition. SOA composition was analyzed using offline methods. Infrared spectra indicated that there are complex components in the particle-phase including carbonyls acid and aldehydes species. Moreover, the aqueous filter extracts were analyzed using ultraviolet-visible spectrometer and fluorescence spectrophotometer. For the fresh methyl n-butyl ether SOA, the largest absorption peak occurs at 280 nm and there exists slightly absorption in the 300–400 nm. Excitation-emission matrices display the distinct peak at excitation/emission = 470 nm/480 nm according to the fluorescence spectrum. These findings are important considerations of formation for ether SOA that can eventually be included in atmospheric models.     

Impact of transport of fine and ultrafine particles from open biomass burning on air quality during 2019 Bangkok haze episode

Transboundary and domestic aerosol transport during 2018–2019 affecting Bangkok air quality has been investigated. Physicochemical characteristics of size-segregated ambient particles down to nano-particles collected during 2017 non-haze and 2018–2019 haze periods were analyzed. The average PM_2.5 concentrations at KU and KMUTNB sites in Bangkok, Thailand during the haze periods were about 4 times higher than in non-haze periods. The highest average organic carbon and elemental carbon concentrations were 4.6 ± 2.1 µg/m³ and 1.0 ± 0.4 µg/m³, respectively, in PM_0.5–1.0 range at KU site. The values of OC/EC and char-EC/soot-EC ratios in accumulation mode particles suggested the significant influence of biomass burning, while the nuclei and coarse mode particles were from mixed sources. PAH concentrations during 2018–2019 haze period at KU and KMUTNB were 3.4 ± 0.9 ng/m³ and 1.8 ± 0.2 ng/m³, respectively. The PAH diagnostic ratio of PM_2.5 also suggested the main contributions were from biomass combustion. This is supported by the 48-hrs backward trajectory simulation. The higher PM_2.5 concentrations during 2018–2019 haze period are also associated with the meteorological conditions that induce thermal inversions and weak winds in the morning and evening. Average values of benzo(a)pyrene toxic equivalency quotient during haze period were about 3–6 times higher than during non-haze period. This should raise a concern of potential human health risk in Bangkok and vicinity exposing to fine and ultrafine particulate matters in addition to regular exposure to traffic emission.