大气中TSP,SO2浓度近地面垂直分布规律的研究

通过对ＴＳＰ、ＳＯ２浓度在不同高度实测研究．得出平顶山市ＳＯ２在１．５ｍ至２０ｍ不同高度监测，高度影响无显著性差异；ＴＳＰ在５ｍ至１５ｍ不同高度监测，高度影响无显著性差异。     

大气中TSP,SO2近地面浓度的垂直分布规律

从平顶山市实际出发，通过对ＴＳＰ，ＳＯ２浓度在不同高度的实测研究，得出ＳＯ２在１．５米至２０米不同高度监测，高度影响无显著差异，ＴＳＰ在５米至１０米不同高度监测，高度影响无显著性差异。     

湖泊水质监测布点优化

本文对湖泊监测布点优化的方法是主成分分析法、分层抽样法.经过对原监测点聚类、分层抽样、测点可靠性检验的程序,得到了客观表征污染物分布特征及总体污染水平的优化测点.     

南京市城区环境空气中总悬浮颗粒物的源解析

应用受体模式的化学质量平衡法（ＣＭＢ），对南京市城区７个环境监测点环境空气中的总悬浮颗粒物（ＴＳＰ）进行污染源的源解析，得出４类主要污染源对ＴＳＰ的平均贡献率，建筑尘３９．８％、煤烟尘２５．７％，土壤尘１９．２％，冶炼尘１．８％，同时，对该市城区的地面尘也进行了源解析，表明地面尘与环境中ＴＳＰ的构成相近。     

用扩散法被动式个体采样器同时测定空气中二氧化硫和二氧化氮

本文介绍了用被动式个体采样器同时测定空气中ＳＯ２和ＮＯ２的方法,吸收层用三乙醇胺（２０％）＋碳酸钠（５％）溶液浸渍的滤纸,采样后分成两等分,分别测定ＳＯ２和ＮＯ２浓度。与有动力的溶液吸收管现场对比验证,表明两者结果是一致的。在外环境监测时,为了克服风速的影响,可将被动式个体采样器放在ＴＳＰ流量采样器的帽形采样头中,这样可同时测定环境空气中ＴＳＰ、ＳＯ２和ＮＯ２。     

兰州市汽车尾气污染状况调查

通过对兰州市汽车尾气污染状况的调查与分析，认为兰州市街道空气污染较重，ＣＯ、ＮＯｘ、ＳＯ２、ＴＳＰ、Ｐｂ各项污染均超标，其污染程度与车流强度、时间、季节、路面宽度、风速及不同形式的交通路口相关。汽车尾气排放已成为兰州市空气污染的重要来源。     

城市环境空气监测点位新老分析方法相关性验证

以赤市２种采样方法获得的数据为基础，运用数据统计中的双因素方差法及一元线性回归法对２种采样方法的相关性进行了验证。结果表明，连续采样法代替五日手工采样法后，对于ＳＯ２、ＮＯｘ２种方法之间无显著差异，对于ＴＳＰ两方法的延续性很差。     

扬州市区大气环境质量的综合评价

扬州市区大气环境质量的综合评价高明慧（江苏扬州市环境监测站，２２５００２）仅考虑必测项目ＳＯ２、ＮＯｘ和ＴＳＰ，则因素集为设由ＳＯ２，ＮＯｘ和ＴＳＰ的权重构成的权重集为Ａ为Ｕ上的模糊子集，ａｉ表示为式中Ｓｉｊ为第ｉ种因素的第ｊ级标准，Ｘｉ为第ｉ种因素...     

TSP的来源与气象因素对TSP测试的影响

用“化学元素平衡法”（ＣＢＭ）鉴别常州市总悬浮颗粒物（ＴＳＰ）的来源，结果表明，常州市的ＴＳＰ中，土壤尘约占３０％；建筑尘和燃煤尘相当，约各占２５％；钢铁尘占２．５％。扬尘不是独立源，它主要是土壤尘、建筑尘和燃煤尘的混合。通过气象资料分析，发现应在无雨（日降雨量小于０．１ｍｍ）和风速小于５ｍ／ｓ的气象条件下测试ＴＳＰ，才能保证测试结果具代表性。     

南京市城市大气采样点的聚类优化

大气采样点的优化体现了环境监测的科学性。对于大气环境要素的监测,应尽可能使每个采样点获得的数据覆盖面大、代表性强、重复性小。本文运用数理统计学聚类分析方法对南京市城区十八个监测点连续三年的测定数据进行聚类相关分析,去除重复性大、且对总体污染水平无显著性影响的测点,选出比较科学,合理而足够反映出南京城市大气污染水平及分布特征的采样点。     

Air Quality and Monitoring Strategy in the Helsinki Metropolitan Area, Finland

The Helsinki Metropolitan Area Council (YTV) is responsible for air quality monitoring in the Helsinki area. Air quality has been monitored periodically since the late 1950s. An automatic SO2 monitoring network was constructed in 1975 and TSP measurements were added in 1978. Since then the network has been expanded and currently five automatic multicomponent stations form the basis of the network monitoring SO2, NO, NO2, CO, PM10 and O3 concentrations. Manual TSP and PM10 measurements are also conducted. Mobile monitoring units are also being used as well as special measurement campaigns. The effects of air pollution on nature are studied in bioindicator monitoring. An air quality index is used in order to inform the public of the current air quality situation. Changes in air quality are reflected in monitoring strategy. SO2 concentrations have decreased in the past two decades. Annual averages in 1995 were at or below 5 µg/m3. Traffic is the major source for pollutants even though catalytic converters have lowered traffic emissions somewhat. The highest annual average NO2 concentration at an urban site was 49 µg/m3 in 1995, and there has been no clear change in NO2 levels. There has been a decreasing trend in CO concentrations. Maximum annual TSP and PM10 averages in 1995 were 92 and 32 µg/m3, respectively. The highest average lead concentration was 0.01 µg/m3. Elevated concentrations are experienced from time to time. During the spring daily TSP and PM10 concentrations can go up to around 300 and 150 µg/m3, respectively. This is caused by resuspension mainly due to street sanding. Also a major winter NO2 episode occurred in December 1995. The highest hourly NO2 concentrations reached 400 µg/m3.     

唐山市"九五"期间大气环境中SO2、NOX、TSP污染状况分析

根据唐山市大气环境污染特点，对主要污染指标SO2、NO、TSP进行了污染状况分析。结果表明，3项污染指标的平均值均超过国家环境空气质量二级标准。     

Particulate Matter Over A Seven Year Period in Urban and Rural Areas Within, Proximal and Far from Mining and Power Station Operations in Greece

Lignite mining operations and lignite-fired power stations result in major particulate pollution (fly ash and fugitive dust) problems in the areas surrounding these activities. The problem is more complicated, especially, for urban areas located not far from these activities, due to additional contribution from the urban pollution sources. Knowledge of the distribution of airborne particulate matter into size fraction has become an increasing area of focus when examining the effects of particulate pollution. On the other hand, airborne particle concentration measurements are useful in order to assess the air pollution levels based on national and international air quality standards. These measurements are also necessary for developing air pollutants control strategies or for evaluating the effectiveness of these strategies, especially, for long periods. In this study an attempt is made in order to investigate the particle size distribution of fly ash and fugitive dust in a heavy industrialized (mining and power stations operations) area with complex terrain in the northwestern part of Greece. Parallel total suspended particulates (TSP) and particulate matter with an aerodynamic diameter less than 10 μm (PM10) concentrations are analyzed. These measurements gathered from thirteen monitoring stations located in the greater area of interest. Spatial, temporal variation and trend are analyzed over the last seven years. Furthermore, the geographical variation of PM10 – TSP correlation and PM10/TSP ratio are investigated and compared to those in the literature. The analysis has indicated that a complex system of sources and meteorological conditions modulate the particulate pollution of the examined area.     

乌鲁木齐大气微生物污染研究

采用网格布点用自然沉降法同步采样，调查和研究乌鲁木齐建成区大气微生物浓度分布、污染现状及微生物污染类型特征．结果表明：乌鲁木齐市大气微生物以细菌为主导，占微生物总数的７９．５％，真菌约占２０．５％．建成区大气微生物达５级中污染水平．大气微生物污染分布与环境条件和环境质量都有一定关系。     

建德市大气SO2浓度与气象条件关系初探

利用实测资料分析了建德市大气ＳＯ２与风向、风速、气温、湿度、降水量、逆温气象因子间的关系，认为，冬季污染源下风向混合区ＳＯ２浓度出现最高值，在静风和微风情况下，城市污染水平基本上可代表城市的总体污染水平。     

Determination of O3, NO2, SO2, CO and PM10 measured in Belgrade urban area

O(3), NO(2), SO(2), CO and PM(10) concentrations, simultaneously determined for the first time in Belgrade urban area in the autumnal period of 2005, are presented. The obtained results display similar behaviour of SO(2), NO(2), CO, PM(10) opposite from that of O(3). The weekend effect was also investigated showing diminution of average daily concentrations of SO(2), NO(2), PM(10) and CO for 72, 40, 37 and 42% respectively, and increase of the average daily concentration of O(3) for 56%. Influence of meteorological conditions on observed concentration levels was studied, too. The observed influence of wind speed on the O(3) nightly concentration levels was analyzed pointing to the phenomena of O(3) transport during episodic measurements. To make an identification of possible pollution sources and analyse the influence of meteorological parameters on pollution levels, air back trajectories for high level concentrations episodes were calculated and analysed. A multivariate receptor modelling (Principal Component Analysis, Cluster Analysis) has been applied to a set of data in order to determine the contribution of different sources. It was found that the main principal components, extracted from the air pollution data, were related to gasoline combustion, oil combustion and ozone transport.     

Atmospheric aerosol concentration level and chemical characteristics of water-soluble ionic species in wintertime in Beijing,China

Total suspended particulate (TSP) samples were collected during wintertime from November 24, 1998 to February 12, 1999 in Beijing. Ionic species including Cl-, NO3(-), SO4(2-), Na+, NH4(+), K+, Mg2+ and Ca2+ were determined by Ion Chromatography (IC). The sum average concentration of all the determined ions accounted for 18.9% of the TSP concentration, and SO4(2-) appeared the dominant ion with an average concentration of 30.84 microg m(-3); the sum mass concentration of SO4(2-), NO3(-), Ca2+ and NH4(+) accounted for about 83.2% of all the eight ions measured. The study indicated that the chemical form of sulfate and ammonium varies with TSP concentration levels. During heavy pollution periods, the average TSP concentration was 0.66 mg m(-3), and the NH4(+)/SO4(2-) molar ratio was low (0.58). It indicated that sulfate may present as CaSO4 and (NH4)2SO4 x CaSO4 x 2H2O. When TSP concentration (average 0.186 mg m(-3)) was relatively low, the NH4(+)/SO4(2-) molar ratio was 1.94, close to the theoretical ratio of 2 of (NH4)2SO4. Under this condition (NH4)2SO4 is expected to exist as the major form of sulfate. When the TSP concentration level was medium (average 0.35 mg m(-3)), the NH4+/SO4(2-) molar ratio appeared an average value (1.27), (NH4)2SO4, (NH4)2SO4 x CaSO4 x 2H2O and CaSO4 are expected to be present in those aerosol particles. Meteorological conditions including wind speed and wind direction were related to the TSP concentration level.     

Evaluation of air pollution phytotoxicity in a seasonally dry tropical urban environment

This study was conducted in the urban environment of Varanasi, India, to evaluate the plant responses to urban air pollution. Twenty sites were selected in four different zones of the city. At each site, seven woody perennials of same age classes were selected. Out of the four zones (I, II, III and IV), zone IV was used as a reference (control) zone as it received the minimum pollution input. Plant species growing in polluted and control areas were compared with respect to foliar dust load, per cent leaf area injury, leaf area, specific leaf weight and chlorophyll, ascorbic acid, SO ₄ ^2– S and total N concentration in the leaves. Results indicated that the air pollution level in Varanasi causes leaf damage, reduces leaf area, specific leaf weight and chlorophyll, ascorbic acid and total N concentrations in the leaves. Sulphur concentration in leaves increased with increasing level of SO₂ in the ambient air. The magnitude of such changes was maximum at the zone receiving maximum pollution load. Carissa carandas was found to be the most sensitive species and Bougainvillea spectabilis, the least. The study shows that the urban air pollution level in Varanasi is detrimental for the growth of plants involved in this study.     

一种新的城市群大气环境承载力评价方法及应用

针对中国国土资源环境承载力评价研究理论与方法存在不足的情况,以全国主体功能区中处于优化开发区域的5个城市群为例,用一种新的方法评价城市大气环境纳污承载力。以城市大气污染防治标准为基础,根据不同级别城市空气污染指数所对应的天数占全年监测天数的比例,确定5个城市群的城市大气环境纳污承载力底限水平得分。评价结果表明,快速增长的经济给大城市的大气环境带来巨大压力,处于优化开发区的珠三角城市群的大气环境纳污承载力得分87.13,为较高承载级别。其他城市群得分从高到低依次为辽中南(78.73)、京津冀(77.92)、长三角(77.23)、山东半岛(76.32),均为中承载级别。要使这些城市群保持良好的空气环境,必须加大污染防治力度,优化国土规划空间布局,在大力发展经济的同时,兼顾其对环境的负面影响。