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基于城市超级站对2018年12月—2019年2月南京市在线水溶性离子污染特征进行研究。结果表明:监测期间水溶性无机离子(WSIs)质量浓度均值为45.7μg/m3,占PM2.5的67.8%,各离子排序为NO3-> SO42->NH4+>Cl->K+>Ca2+>Na+>Mg2+。二次离子(SNA)是PM2.5主要组分,大气气溶胶呈中性。各离子日变化存在差异,SNA变化趋势和WSIs基本一致。南京市冬季存在明显SO2和NO2向SO42-和NO3-二次转化;NO3-/SO42-均值为1.96,移动源增量大于固定源。通过相关性和三相聚类分析可知,SNA主要结合方式为(NH4)2SO4和NH4NO3。主成分分析表明,南京市冬季PM2.5中水溶性离子主要来源是二次转化,燃煤、生物质燃烧和土壤建筑扬尘也有贡献。 相似文献
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采集广州市大气可吸入颗粒物(PM10)样品,并分别对冬、夏两季灰霾和非灰霾期PM10中有机碳(OC)、元素碳(EC)和水溶性离子进行分析。广州市灰霾期大气PM10中的主要化学成分按质量浓度大小排序为OC>NO3->SO24->NH4+>EC(非灰霾期则依次为OC>SO24->EC>NH4+>NO3-),其质量浓度分别为非灰霾期的4.7、12.5、3.7、3.2和2.3倍。相关性分析表明,灰霾期总碳[TC(OC+EC)]及NO3-的质量浓度对大气能见度的降低起主要作用,而非灰霾期则主要是TC和SO24-。 相似文献
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校园空气微生物和悬浮物污染评价及相关性分析 总被引:2,自引:0,他引:2
在对广西师范大学育才校区教学区、宿舍区、运动场和交通区大气微生物和总悬浮颗粒物(TSP)进行监测的基础上,评价与分析了育才校区大气污染状况。依照中国科学院生态中心推荐使用的空气微生物评价标准,育才校区大气微生物污染轻微,其中交通区和运动场大气微生物含量相对较高,但都能达到清洁空气的标准;大气总悬浮颗粒物污染下午较严重,多数测定值超过了国家环境空气质量标准中的二级标准限值,而上午的测定值相对较低;四个功能区中TSP浓度值为交通区>运动场>教学区>宿舍区。上午空气中TSP浓度与细菌总数具有显著相关性,与霉菌总数相关关系不显著;下午TSP测定值与空气中细菌总数和霉菌总数的相关关系均不显著;校园空气中细菌总数和霉菌总数为极显著相关。 相似文献
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通过对自动监测和手动监测兰州市大气中SO2、NO2(NOx)、PM10(TSP)的二组数据分析.在非采暖期二组数据有较大相关性,而在采暖期,SO2和NO2(NOx)具有相关性外,PM10(TSP)则没有相关性. 相似文献
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天津市空气质量时间变化规律及相关性分析 总被引:12,自引:1,他引:12
按时间段对天津市环境空气监测国控点2005年的SO2、NO2和PM10监测数据进行统计分析,SO2、NO2和PM10时间变化规律呈现典型的双峰双谷型,SO2、NO2污染呈现明显的季节性,而PM10污染相对稳定。对SO2、NO2和PM10在全年、采暖期和非采暖期的时间变化进行相关性分析,结果表明,除了非采暖期NO2和SO2相关性不显著外,其它均存在较强的相关性。 相似文献
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拉萨市大气污染分布特征及气象影响因子分析 总被引:4,自引:1,他引:3
以2001~2006年拉萨市的空气环境质量自动监测结果为基础数据,阐明拉萨市区主要大气污染物SO2、NO2、PM10的逐日变化、季节变化以及年变化特征.在此基础上,分析了大气污染物浓度与气象条件的关系.结果表明,除NO2日夜差别不大之外,SO2与PM10质量浓度分别存在典型的单峰、双峰变化;各污染物质量浓度具有冬强夏弱的季节变化规律;就年平均而言,SO2浓度增加,PM10浓度降低,NO2浓度变化不显著,各污染物有明显的突变现象.大多数气象要素与污染物浓度具有较好的负相关,即满足降水量增加、温度升高、相对湿度增大会导致污染物浓度减小的规律,气象要素量级与大气污染天数多少也存在密切关系. 相似文献
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结合2003—2014年南京城区春节除夕前后主要空气污染物监测数据,分析烟花爆竹集中燃放时空气污染指数及PM10、SO2、NO2质量浓度的变化趋势。指出除夕燃放烟花爆竹会引起PM10、SO2、NO2质量浓度上升,在大气扩散条件不佳的情况下影响了环境空气质量。建议在大中城市城区采取适当的禁放措施,并加快研制安全环保型的烟花爆竹替代产品。 相似文献
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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. 相似文献
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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。 相似文献
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The effect of fireworks on air quality was assessed from the ambient concentrations of various air pollutants (SO2, NO2, PM10 and TSP) during Diwali festival in Hisar city (India), in November 1999. The extensive use of fireworks was found to be related to short-term variation in air quality. During the festival the concentration of SO2 was observed to be increased approximately 10-fold at few sites, whereas the concentrations of NO2, PM10 and TSP increased 2-3 times, compared to the data collected on a typical winter day in December 1999. The maximum NO2 concentration was observed a day after the festival. The diurnal pattern of the above pollutants showed a slight increase in the night. The levels of these pollutants observed during Diwali were found to be moderately high, which can be associated with serious health impacts. 相似文献
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Atmospheric visibility impairment has gained increasing concern as it is associated with the existence of a number of aerosols as well as common air pollutants and produces unfavorable conditions for observation, dispersion, and transportation. This study analyzed the atmospheric visibility data measured in urban and suburban Hong Kong (two selected stations) with respect to time-matched mass concentrations of common air pollutants including nitrogen dioxide (NO(2)), nitrogen monoxide (NO), respirable suspended particulates (PM(10)), sulfur dioxide (SO(2)), carbon monoxide (CO), and meteorological parameters including air temperature, relative humidity, and wind speed. No significant difference in atmospheric visibility was reported between the two measurement locations (p > or = 0.6, t test); and good atmospheric visibility was observed more frequently in summer and autumn than in winter and spring (p < 0.01, t test). It was also found that atmospheric visibility increased with temperature but decreased with the concentrations of SO(2), CO, PM(10), NO, and NO(2). The results showed that atmospheric visibility was season dependent and would have significant correlations with temperature, the mass concentrations of PM(10) and NO(2), and the air pollution index API (correlation coefficients mid R: R mid R: > or = 0.7, p < or = 0.0001, t test). Mathematical expressions catering to the seasonal variations of atmospheric visibility were thus proposed. By comparison, the proposed visibility prediction models were more accurate than some existing regional models. In addition to improving visibility prediction accuracy, this study would be useful for understanding the context of low atmospheric visibility, exploring possible remedial measures, and evaluating the impact of air pollution and atmospheric visibility impairment in this region. 相似文献
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室外空气污染对成人呼吸系统健康影响的分析 总被引:7,自引:0,他引:7
报告在广州、武汉、兰州、重庆市 8所小学共 80 0 0余名学生父母患呼吸系统疾病的病症率受空气污染影响的分析结果。每个城市城区污染点的成人感冒咳嗽和咳痰、未感冒咳嗽和咳痰、支气管炎等病症的发生率均高于相应城市的郊区对照点 ,且男性比女性更高。呼吸系统的病症率与空气 PM1 0 、PM2 .5 污染呈正相关。调整了混杂因子的影响后 ,这种相关关系仍保持不变。结论是 :空气中 PM1 0 的污染与成人 (男女 )的感冒或未感冒时咳嗽、男性未感冒时咳痰、哮喘、支气管炎有明显正相关关系 ;空气 SO2 污染与成人 (男女 )感冒时咳嗽、咳痰呈显著正相关 ;空气中 NOx 污染对成人呼吸系统病症率的影响相对较弱 相似文献
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Marković DM Marković DA Jovanović A Lazić L Mijić Z 《Environmental monitoring and assessment》2008,145(1-3):349-359
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. 相似文献
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为探究典型燃煤工业城市邯郸市的大气细颗粒物(PM2.5)污染水平及水溶性无机离子特征,于2016年1—12月采集了当地大气PM2.5样品,然后利用离子色谱法测得水溶性无机离子的组分,分析了不同季节水溶性无机离子随PM2.5的浓度变化特征。通过对PM2.5中的阴离子、阳离子进行分析发现,SO4^2-、NO3^-和NH4^+在春夏秋冬四季均为PM2.5中的主要离子成分,SO4^2-、NO3^-和NH4^+的浓度之和在春夏秋冬四季占各季节总的水溶性无机离子浓度的百分比分别为84.6%、77.4%、89.9%、62.5%。其中,在春季和冬季含量最高的3种离子分别是NO3^-、SO4^2-和NH4^+,夏季含量最高的3种离子分别是SO4^2-、NH4^+和NO3^-,而秋季含量最高的3种离子分别是NH4^+、SO4^2-和NO3^-。相关性分析发现,2016年春季、夏季和秋季PM2.5为酸性,冬季为碱性。SO4^2-、NO3^-、NH4^+浓度分析表明,冬季PM2.5中的一次建筑扬尘排放较多。通过主成分分析法得出,PM2.5中水溶性无机离子主要来源于二次转化和生物质燃烧。 相似文献
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Singh K Singh DP Dixit CK Singh N Sharma C Sahai S Jha AK Kumari M Khan ZH Gupta PK 《Environmental monitoring and assessment》2012,184(7):4553-4564
A field campaign on aerosol chemical properties and trace gases measurements was carried out along the Delhi-Hyderabad-Delhi road corridor (spanning about 3,200 km) in India, during February 1-29, 2004. Aerosol particles were collected on quartz and cellulose filters using high volume (PM(10)) sampler at various locations along the route (i.e., urban, semi-urban, rural, and forest areas) and have been characterized for major cations (Na(+), Ca(2+), Mg(2+), K(+), and NH (4) (+)), anions (Cl(-), NO (3)(-), and SO (4)(2-)), and heavy metals (Cu, Cd, Fe, Zn, Mn, and Pb). Simultaneously, we measured NO(2) and SO(2) gases. These species show large spatial and temporal variations. The ambient PM(10) concentration has been observed to be the highest (55 ± 4 μg m(-3)) near semi-urban areas followed by forest areas (48 ± 2 μg m(-3)) and in rural areas (44 ± 22 μg m(-3)). The concentrations of NO( x ) (NO(2)+NO) and SO(2) ranged from 16 to 69 μg m(-3) and 4 to 11 μg m(-3), respectively. Among anions, NO(3)(-) and SO(4) (2-) are the major constituents of PM(10). The urban and semi-urban sites showed enhanced concentrations of Fe, Zn, Mn, Cd, and Pb. This study provide information about atmospheric concentrations of various species in the northern to central India, which may be important for policy makers to better understand the air quality of the region. 相似文献
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Branis M 《Environmental monitoring and assessment》2009,156(1-4):377-390
Political and economical transition in the Central and Eastern Europe at the end of eighties significantly influenced all aspects of life as well as technological infrastructure. Collapse of outdated energy demanding industry and adoption of environmental legislation resulted in seeming improvements of urban environmental quality. Hand in hand with modernization the newly adopted regulations also helped to phase out low quality coal frequently used for domestic heating. However, at the same time, the number of vehicles registered in the city increased. The two processes interestingly acted as parallel but antagonistic forces. To interpret the trends in urban air quality of Prague, Czech capital, monthly averages of PM(10), SO(2), NO(2), NO, O(3) and CO concentrations from the national network of automated monitoring stations were analyzed together with long term trends in fuel consumption and number of vehicles registered in Prague within a period of 1992-2005. The results showed that concentrations of SO(2) (a pollutant strongly related to fossil fuel burning) dropped significantly during the period of concern. Similarly NO(X) and PM(10) concentrations decreased significantly in the first half of the nineties (as a result of solid fuel use drop), but remained rather stable or increased after 2000, presumably reflecting rapid increase of traffic density. In conclusion, infrastructural changes in early nineties had a strong positive effect on Prague air quality namely in the first half of the period studied, nevertheless, the current trend in concentrations of automotive exhaust related pollutants (such as PM(10), NO(X)) needs adoption of stricter measures. 相似文献
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Air samples for PM(10) (dp?10 μm in aerodynamic diameter) were collected from March 2007 to February 2008 near Taj Mahal-a historically sensitive site in Agra. Each sample collected on 20.3?×?25.4-cm Whatman quartz microfiber filter using respirable dust sampler was analyzed gravimetrically for mass concentrations and chemically for elements such as Na, Mg, Al, Si, S, Ca, Sc, V, Cr, Mn, Fe, Ni, Cu, Zn, As, Br, Rb, Cd, Ba, and Pb by inductively coupled plasma atomic emission spectroscopy and inorganic ions such as NH (4) (+) , K(+), SO (4) (2-) , NO (3) (-) , F(-), and Cl(-) by ion chromatograph. Annual average of PM(10) 155.47?±?77.97 μg/m(3) was three times high the annual average NAAQ standard of 50 μg/m(3) for sensitive area. PM(10) as well as K(+), Cl(-), As, and Pb were higher in winter while crust elements and secondary aerosols were higher in summer. The average equivalent ratio of NH (4) (+) to sum up of SO (4) (2-) and NO (3) (-) was greater than unity which indicates high source strength of ammonia and alkaline nature of aerosols in Agra. Source apportionment of PM(10) was carried out by factor analysis using principal component analysis (varimax rotated factor matrix method) of SPSS. Five sources contributing to PM(10) were identified as crust material, vehicular emissions, industrial emissions, coal and biomass burning, and secondary aerosols. 相似文献