Factors influencing Aerosol Characteristics over Urban Environment

Atmospheric aerosols are an important contributing factor to turbidity in urban areas besides having impact on health. Aerosol characteristics show a high degree of variability in space and time as anthropogenic share of total aerosol loading is quite substantial and is essential to monitor the aerosol features over long time scales. In the present study extensive observations of columnar aerosol optical depth (AOD), total columnar ozone (TCO) and precipitable water content (PWC) have been carried over a tropical urban city of Hyderabad, India. Significant variations of AOD have been observed during course of the day with low values of AOD during morning and evening hours and high values during afternoon hours. Spectral variation of AOD exhibits high AOD at smaller wavelengths and vice versa except a slight enhancement in AOD at 500 nm. Anomalies in AOD, particulate matter and black carbon concentrations have been observed during May, 2003. Back trajectory analysis of air mass during these episodes suggested variation in air mass trajectories. Analysis of the results suggests that air trajectories from land region north of study area cause high loading of atmospheric aerosols. The results are discussed in the paper.     

Aerosol Scavenging: Model Application and Sensitivity Analysis in the Indian Context

Sulfate aerosols have been found to bethe major contributors to precipitation acidity. Thus,in view of the long-term ecological repercussions theyhave on aquatic ecosystems and their acidity-potential,the present analysis focuses on a case study applicationof the layer-averaged aerosol-scavenging model (Okita et al., 1996) for predicting values of the wet scavengingcoefficient and sulfate concentrations in precipitationsamples on the basis of the information available forsome selected Indian cities. Through sensitivityanalysis (Pandey et al., 1997) the scavengingcoefficient has been found to be very strongly dependenton precipitation intensity. Comparison of modelpredictions has been done with the measured values forDelhi, Mumbai, Calcutta and Chennai in India.     

南通市冬季PM2.5中水溶性离子污染特征

根据南通市2016和2017年冬季大气多参数站自动监测PM2.5数据和在线离子色谱分析仪Marga监测的PM2.5中水溶性离子数据,分析了南通市冬季PM2.5中水溶性离子污染特征。结果表明,南通市2016和2017年冬季,ρ(PM2.5)分别为58和54μg/m 3,均高出其年均值(14μg/m^3);ρ(水溶性离子)总占ρ(PM2.5)百分比分别为74.5%和74.3%;二次离子ρ(NO3^-、SO4^2-和NH4^+)占ρ(PM2.5)百分比分别为66.8%和66.6%;各水溶性离子占比大小依次为:NO3^-、SO4^2-、NH4^+、Cl^-、K^+、Na^+、Ca^2+、Mg^2+。对ρ(NO3^-)/ρ(SO 4^2-)分析表明,移动源已经成为南通市冬季的主要污染源,且呈逐年增强趋势。对氯氧化率和硫氧化率的分析表明,南通市冬季存在较明显的二次污染,SO2的转化程度大于NO2。除Na^+和Mg^2+外,其他离子与PM2.5均呈显著相关性,NO3^-、SO4^2-与NH4^+之间的相关系数最高,Cl^-与除Na^+外的所有阳离子均呈显著相关性。     

乌鲁木齐市新市区大气气溶胶中多环芳烃的GC/MS分析

采用气相色谱-质谱联用技术(GC/MS)分析测定了乌鲁木齐市新市区的大气气溶胶样品16种EPA优控多环芳烃(PAHs)的含量。通过索氏提取气溶胶样品,抽提物经硅胶层析柱分离,使用16种多环芳烃混合标准样品绘制标准曲线,以外标法对PAHs进行定量分析,并根据所得数据浅析了多环芳烃污染来源。结果表明,乌鲁木齐市新市区大气中由于汽车尾气排放和煤的燃烧造成的多环芳烃污染均存在。     

地气溶胶测量──一种寻找隐伏矿床、研究深部构造地质的新方法、新技术

介绍了地气溶胶测量的概念及其测量方法，从地气溶胶组分及元素的赋存状态、来源及其可能的迁移特性，讨论了地气溶胶测量的原理。根据最近几年在矿区外围及未知地区所测量的一些实例，论述了利用该方法寻找隐伏矿床的效果，认为地气溶胶测量在寻找隐伏矿床、研究深部构造地质方面具有广阔的应用和发展前景。     

再论次生石英岩型非金属矿床

次生石英岩型非金属矿床明显受不同级别的火山构造控制,是中—酸性火山岩区一套很有特色的矿床组合;热源、水源、地层产状有机组合生成的环流热液是成矿的前提之一;成矿流体以重碳酸盐型、硫酸盐型为主,属中—低盐度热液;温度、pH值、fo_2等物理化学条件是矿床及矿种类刑的重要控制因素。本文在《次生石英岩容矿型非金属矿床系列的矿种、组合及其成矿作用特征》(1986)一文基础上,进一步总结这类矿床的成矿机理和地质地球化学模式。     

Characteristics and source apportionment of PM2.5 under the dual influence of the Spring Festival and the COVID-19 pandemic in Yuncheng city

Based on the online and membrane sampling data of Yuncheng from January 1st to February 12th, 2020, the formation mechanism of haze under the dual influence of Spring Festival and COVID-19 (Corona Virus Disease) was analyzed. Atmospheric capacity, chemical composition, secondary transformation, source apportionment, backward trajectory, pollution space and enterprise distribution were studied. Low wind speed, high humidity and small atmospheric capacity inhibited the diffusion of air pollutants. Four severe pollution processes occurred during the period, and the pollution degree was the highest around the Spring Festival. In light, medium and heavy pollution periods, the proportion of SNA (SO₄²⁻, NO₃⁻ and NH₄⁺) was 59.6%, 56.0% and 54.9%, respectively, which was the largest components of PM_2.5; the [NO₃⁻]/[SO₄²⁻] ratio was 2.1, 1.5 and 1.7, respectively, indicating that coal source had a great influence; the changes of NOR (nitrogen oxidation ratio, 0.44, 0.45, 0.61) and SOR (sulphur oxidation ratio, 0.40, 0.49, 0.65) indicated the accumulation of secondary aerosols with increasing pollution. The coal combustion, motor vehicle, secondary inorganic sources and industrial sources contributed 36.8%, 26.59%, 11.84% and 8.02% to PM_2.5 masses, respectively. Backward trajectory showed that the influence from the east was greater during the Spring Festival, and the pollutants from the eastern air mass were higher, which would aggravate the pollution. Meteorological and Spring Festival had a great impact on heavy pollution weather. Although some work could not operate due to the impact of the COVID-19 epidemic, the emission of pollutants did not reduce much.     

中国PM_(2.5)污染状况和污染特征的研究

近１０ 余年来在中国的城市地区和清洁地区进行了ＰＭ２－５ 的采集和分析，其中包括ＰＭ２－５ 的质量浓度、离子和元素成分、酸度和酸化缓冲能力以及来源解析，研究结果表明，中国大部分地区ＰＭ２－５ 的污染较重，不论是质量浓度，还是各种主要成分浓度，在ＴＳＰ 和ＰＭ１０ 中都占有很高的比重，而ＰＭ２－５ 的酸度也远远高于ＴＳＰ 和ＰＭ１０ ，特别是近年来ＰＭ２－５ 污染还有相对加剧的趋势。     

上海市大气气溶胶中铂元素污染状况调查

为调查上海市大气气溶胶中铂元素的污染状况,用PM10-2型可吸入颗粒物采样器采集了上海市大气气溶胶样品,采样时间分别为2003-12～2005-12.用微波消解密闭系统消解样品,电感耦合等离子体质谱法(ICP-MS)测定了大气气溶胶中Pt的含量.分析结果表明,同清洁对照点((0.65±0.16)pg·m-3)相比,上海市中心区大气中Pt((1.69±0.93)pg·m-3)的污染是明显的;装有三元催化转化器的汽车尾气中Pt的含量均在100ng·g-1以上,远远高于大气气溶胶样品(人民广场平均值21.7ng·g-1);不同交通密度区Pt含量分析结果表明,Pt含量与交通密度紧密相关,这说明装有三元催化器的汽车尾气是气溶胶中Pt污染的主要来源;此外,上海市大气气溶胶中Pt呈现季节性变化,并受气象条件影响.同世界其它城市相比,上海市气溶胶中铂元素污染程度还较低,但是这种潜在的重金属污染应该引起重视.     

泸沽湖沉积物－水界面扩散作用对上覆水体基本化学组成的影响

通过云南泸沽湖－－半封闭深水湖泊湖水和沉积物孔隙中Ｃａ＾２＋、Ｋ＾＋、Ｎａ＾＋、ＨＣＯ３等基本组分及ＰＨ等剖面分布的研究，结果表明，这些基本组分可以自底部沉积物向上覆体扩散迁移，定量地估算了扩散通量及其对上覆水体的影响程度，说明湖泊沉积物－水界面作用在控制整个水体水化学基本组成中的起着重要的作用。