甘肃省城市大气中颗粒物污染现状及防治对策

通过分析甘肃省１４个城市（１９９０－１９９５）大气颗粒物年均值和日均值超标率,说明城市大气中颗粒物污染现状,分析了造成污染的原因,并提出解决城市大气颗粒物污染的防治措施。     

城市颗粒物污染来源与特性分析

简述了颗粒物的性质、来源及对人体健康和大气质量的影响等，并对有关的各种研究方法进行了介绍。     

石家庄市空气颗粒物污染与气象条件的关系

利用2013—2014年石家庄市环境监测中心PM_(2.5)、PM_(10)逐时监测资料、同期的石家庄市地面气象观测站常规观测资料以及环境监测梯度站2013年1月各层PM_(2.5)和PM_(10)逐时观测资料,分析了PM_(2.5)、PM_(10)质量浓度的时空分布特征及与气象要素的相关关系。结果表明:石家庄市PM_(2.5)与PM_(10)的质量浓度及两者的比值均为冬季和秋季较高;在水平分布上,PM_(2.5)与PM_(10)的平均质量浓度为市区西部高于东部;在垂直分布上,随着高度的增加,PM_(2.5)和PM_(10)平均质量浓度先上升后下降;PM_(2.5)与PM_(10)的质量浓度与相对湿度呈正相关,其中PM_(2.5)的质量浓度与相对湿度相关性更高;PM_(2.5)与PM_(10)的质量浓度与风速呈负相关,随着风速的增大,PM_(2.5)与PM_(10)的平均质量浓度呈下降的趋势,但当风速大于5 m/s时,PM_(10)的质量浓度随着风速增大而上升,出现扬尘污染,总体来讲,刮西北风时PM_(2.5)与PM_(10)的质量浓度较高,刮东南风时PM_(2.5)与PM_(10)的质量浓度较低,这与风向和风速的日变化有关;PM_(2.5)与PM_(10)的质量浓度与降水呈负相关,随着降水的增加,PM_(2.5)与PM_(10)的平均质量浓度呈下降的趋势。     

库尔勒市大气颗粒物污染特征与影响因素分析

针对库尔勒市PM 10、PM 2.5年均浓度超标现象,基于市区3个环境监测站2013—2017年的逐时观测数据,分析PM 10、PM 2.5污染特征、成因及其主要影响因素。结果表明:①2013—2017年库尔勒市PM 10年均浓度变化较大且无明显趋势,PM 2.5年均浓度整体呈下降趋势;②季节尺度上,库尔勒市PM 10在每年2—5月呈现高浓度,PM 2.5高浓度期则为10月至翌年5月;③城郊的开发区站PM 10浓度最高,老城区的州政府站PM 2.5浓度最高,在PM 10和PM 2.5的高浓度期空间差异尤其显著;④PM 10与风速显著正相关,来自塔克拉玛干沙漠的风蚀沙尘颗粒物是库尔勒地区颗粒污染物的主要来源;⑤库尔勒市PM 10主要为外源输入,PM 2.5则以城市内源为主,相对湿度、风速、风向、温度等气象条件是影响大气颗粒物浓度及分布的重要因素。     

唐山市中心区大气颗粒物特征分析

依据唐山市大气中TSP、PMl0监测数据、TSP源解析研究结果、对比实验结果及气象资料，分析了唐山市中心区大气颗粒物的结构组成和时空变化规律、颗粒物的粒径与空间分布及天气背景与大气颗粒物浓度的关系，得出唐山市中心区大气颗粒物的结构组成和污染特征，并提出了污染控制对策。     

石家庄市大气颗粒物中水溶性无机离子污染特征研究

用超声萃取－离子色谱法分析了石家庄市大气颗粒物中8种水溶性无机离子。结果表明,NO3－、SO2－4、NH4＋及 Ca2＋为主要组分;各个离子的质量浓度均有季节及空间变化差异;不同粒径颗粒物中 SO2－4和 NO3－相关性均很好,NH4＋与 SO2－4、NO3－在细颗粒物中具有良好的相关性,Ca2＋在粗粒子中与 NO3－和 SO2－4的相关性也较好。SO2－4／NO3－质量比季节变化表明,春、夏季固定源与流动源对大气颗粒物贡献相当,秋季流动源贡献较大,冬季固定源贡献较大。PM2．5中SO2与SO2－4、NO2与 NO3－转化率表明,SO2－4、NO3－主要是由二次转化而来。     

2011年南京市春季大气颗粒物污染特征分析

2011年江苏省环境监测中心对南京市鼓楼、建邺、栖霞3区8个采样点采集了TSP和PM10样品,进行颗粒物质量浓度、水溶性离子、无机元素以及碳成分分析。结果表明该市春季大气颗粒物污染以PM10为主,不同区域颗粒物污染特点不一;水溶性离子以Ca2+、NO3-及SO2-4居多;无机元素以Ca、Fe、Al为主,Pb与Zn浓度较Ni与V高;市内EC浓度较高,可能与裸露堆煤场有关。有关研究结果提交南京市政府部门,供决策时参考。     

辽宁省三城市大气颗粒物来源解析研究

针对辽宁省的沈阳、抚顺、葫芦岛三个城市的大气颗粒物来源,应用CMB化学质量平衡模型和二重源解析技术进行了定性和定量解析。识别各源类及其成分谱的特征,分析、比较大气颗粒物的时空分布特征,并计算三城市各源类在不同季节对城市大气颗粒物污染的贡献率,得到辽宁省城市大气颗粒物来源和季节分布特征的一般规律,说明城市扬尘、土壤风沙尘和煤烟尘是城市颗粒物的主要来源,应作为颗粒物污染治理的重点,而抚顺市特有的钢铁尘,葫芦岛市特有的锌尘等源类的污染也不容忽视。     

南通市一次典型沙尘污染过程分析

根据南通市大气超级站的观测结果和气象因素，对南通市2019年10月29日—11月2日一次典型沙尘污染过程、颗粒物化学组分、颗粒物消光和退偏进行分析。结果表明，在沙尘影响期间，PM₁₀小时峰值达311 μg/m³， ρ（Ca²⁺）较污染前上升了7.4倍；在沙尘颗粒物碱性环境条件下，二次组分OM和NO^-₃的快速生成，浓度分别较污染前上升了96.6 %和34.0 %；ρ（NO^-₃）/ρ（SO^-2₄）污染中（2.5）高于污染前（1.7），ρ（EC）/ρ（PM_2.5）污染中（4.2%）高于污染前（3.6%），受到明显的沙尘传输影响，而移动源排放也有一定贡献，在本地地面气压场较弱情况下，导致沙尘污染过程长时间持续。     

江西省臭氧污染特征及其与气象条件的关系

基于2017年1月至2020年6月的江西省国控点臭氧监测数据和同期气象观测数据,研究江西省臭氧污染特征及其与气象条件的关系.结果表明:2017—2019年,江西省臭氧超标时间和质量浓度呈现出逐年增加的趋势;4—6月和8—10月是江西臭氧污染高发期,其中8—10月臭氧污染最严重;臭氧1 h浓度日变化呈现"单峰"分布特征,...     

Particulate emission inventory and trends in ambient particulate matter concentrations in the Czech Republic between 1993 and 1999

Trends in total suspended particulates (TSP) emissioninventories were compared with ambient TSP concentrationsduring the period of 1993-1999 in the Czech Republic. TheTSP annual emission decreased within the period of observationfrom 441 300 to 67 000 of metric tonnes (by 85%). During thesame period a less pronounced downward trend from80.3 g m^-3 to 31.5g m^-3 (decrease by 61%)was noted also for the ambient TSP annual average. Differencebetween the two air quality indicators seems to indicate thatchanges in TSP emission inventories from year to year arebeing to some extent overestimated. Monthly ambientparticulate concentrations did not respond to overall drop inemissions proportionately but were closely associated withmonthly mean temperatures. While in the winter the correlationbetween ambient TSP and temperature was negative, in summerthe correlation between the two variables was positive. Inspring and autumn there was no clear correlation betweentemperature and ambient particulate pollution. The improvementof air quality in the Czech Republic since the economical andpolitical transformation in 1990s is substantial whendemonstrated by emission figures, however, true state ofparticulate pollution expressed by ambient levels requiresfurther attention.     

北京市城市非点源污染特征的研究

通过监测降雨径流水质,研究了北京市城市非点源污染的特征。结果表明,北京市城市地表径流水排入任何地表水体都会对其造成污染,且城市地表径流水的大部分水质指标已经达到了污水综合排放的三级标准,因此,我们对待城市地表径流水应该如对待污水一样处理。对于TN、TP、CODCr、BOD5浓度,路面径流要高于屋顶径流,而对于SS浓度,屋顶径流高于路面径流。总磷TP颗粒吸附态的污染物对总污染物的贡献最大,对于路面径流高达83.1%,对于屋顶径流为68.6%,其次是CODCr,总氮TN的颗粒吸附态的贡献较低。通过沉积或过滤去除城市地表径流中的悬浮颗粒物,可以提高城市地表径流的水质。所有污染物随降雨过程变化的总体趋势为雨水初期径流污染物浓度很高,随降雨历时的延长,污染物浓度逐渐下降并趋于稳定。初期径流危害较大。     

Investigating the impacts of some meteorological parameters on air pollution in Balikesir, Turkey

Air pollution is one of the most important environmental problems in Balikesir, situated in the western part of Turkey, during the winter periods. The unfavorable climate as well as the city’s topography, and inappropriate fuel usage cause serious air pollution problems. The air pollutant concentrations in the city have a close relationship with meteorological parameters. In the present study, the relationship between daily average total suspended particulate (TSP) and sulphur dioxide (SO₂) concentrations measured between 1999–2005 winter seasons were correlated with meteorological factors, such as wind speed, temperature, relative humidity and pressure. This statistical analysis was achieved using the stepwise multiple linear regression method. According to the results obtained through the analysis, higher TSP and SO₂ concentrations are strongly related to colder temperatures, lower wind speed, higher atmospheric pressure and higher relative humidity. The statistical models of SO₂ and TSP gave correlation coefficient values (R ²) of 0.735 and 0.656, respectively.     

洛阳市大气污染特征与相关气象要素24小时变化分析

通过对洛阳市环境空气监测资料的统计,归纳出洛阳市区日内24小时环境空气污染变化特征,并结合同步气象观测资料综合分析,找出了二者之间的联系特征。引入气温日较差这一便于观测、预报的气象要素表征空气污染物垂直扩散特征,为今后进行污染预报提供了新的思路。     

中国4城市空气颗粒物元素的因子分析

因子分析在研究空气颗粒物来源上得到了广泛的应用。本文应用最大方差旋转因子分析法对中国4城市空气中粗、细颗粒物元素的来源进行了分析。结果指出粗、细颗粒物因子大致可分为土壤源因子和工业污染源因子两大类。粗颗粒物主要来自土壤源,细颗粒物主要来自工业污染源,并指出土壤源因子对粗颗粒物的贡献大于对细颗粒物的贡献。     

城市土壤Pb污染特征及影响因素分析

以乌鲁木齐市和上海市中心城区为研究区域，按不同功能区对城市土壤采样并进行Pb含量及形态分析，结果表明：两市土壤Pb的平均值含量均超出相应土壤Pb的背景值。上海市土壤Pb的含量远远高于乌鲁木齐市；两市土壤Pb在各功能区的分布均存在明显差异，但两市土壤Pb在功能区的分布规律并不相同；两市土壤Pb的形态分布规律趋于一致，乌鲁木齐市土壤Pb活性要大于上海市。造成上述城市土壤Pb污染特征的影响因素有很多。     

大气总悬浮颗粒中有机碳的测定

本文提出一种新的高灵敏度测定总悬浮颗粒中有机碳的方法一元素分析法。该方法是在氧化炉最佳温度为６００℃时,一步测定出样品中有机碳的含量,并成功地对齐齐哈尔市大气总悬浮颗粒中的有机碳进行了连续的监测。结果表明,总悬浮颗粒中有机碳的含量有较明显的变化规律。     

综合污染指数评价与水质类别判定的关系

对水环境质量综合评价的定性、定量方法作了详细说明 ,并就综合污染指数评价方法与水质类别判定之间的相互关系、矛盾及总体的量化关系进行了分析 ;同时 ,对目前综合污染指数评价方法提出了改进意见。     

Characterisation of particulate matter emissions from the Zimbabwe Mining and Smelting Company (ZIMASCO) Kwekwe Division (Zimbabwe): a ferrochrome smelter

Particulate matter emissions from stack number 2 of a majorferrochrome smelter, Zimbabwe Mining and Smelting Company(ZIMASCO) were characterized and the rates at which the elementsCr, Fe, Cu and Zn and total ferrochrome dust are emitted into theatmosphere were determined. The extent of soil contamination bythe dust deposited around the smelter in the generally prevailingsoutheasterly wind direction around the smelter was carried out.The highest concentrations of Cr and Fe occurred in the fineparticulates of sizes less than 59 m whilst that of Cu and Znoccurred in the coarse particulates of size range 70-100 m.The emission rates from stack 2 were; total ferrochromeparticulates 62.17 kg h^-1, Cr 6.217 kg h^-1, Fe 2.423 kg h^-1, Zn42 mg h^-1 and 6 mg h^-1 for Cu. Particulate matter was emitted at arate of 289 mg m^-3 from stack number 2. This value exceeds thelegal limit of 200 mg m^-3. Chromium and iron are the metalsin the largest amounts. The particles that constitute the largestproportion of the dust were in the range of 58-107.5 m. Thisis a characteristic feature of the particulate matter emissionsfrom ZIMASCO. Soils in the downwind direction from the smelterwere polluted with Cr up to a distance of about 700 m outward fromthe perimeter of the boundary of the smelter.     

Time series modelling of respiratory hospital admissions and geometrically weighted distributed lag effects from ambient particulate air pollution within Kathmandu Valley,Nepal

The distributed lag effects of ambient particulate air pollution exposure on respiratory hospital admissions in Kathmandu Valley are modelled using daily time series data. The extended exposure to PM₁₀ is accounted for by assigning weights to daily average PM₁₀ which decline geometrically as the lag period increases in days. Results show that the percent increase in chronic obstructive pulmonary disease (COPD) hospital admissions and respiratory admissions including COPD, asthma, pneumonia, and bronchitis per 10 μg/m³ rise in PM₁₀ are found to be 4.85% for 30 days lag effect, about 15.9% higher than that observed for same-day lag effect and 3.52% for 40 days lag effect, about 28.9% higher than the observed value for same-day lag effect, respectively.