Characteristics of major secondary ions in typical polluted atmospheric aerosols during autumn in central Taiwan

In autumn of 2008, the chemical characteristics of major secondary ionic aerosols at a suburban site in central Taiwan were measured during an annually occurring season of high pollution. The semicontinuous measurement system measured major soluble inorganic species, including NH(4)(+), NO(3)(-), and SO(4)(2-), in PM(10) with a 15 min resolution time. The atmospheric conditions, except for the influences of typhoons, were dominated by the local sea-land breeze with clear diurnal variations of meteorological parameters and air pollutant concentrations. To evaluate secondary aerosol formation at different ozone levels, daily ozone maximum concentration (O(3,daily max)) was used as an index of photochemical activity for dividing between the heavily polluted period (O(3,daily max) ≧80 ppb) and the lightly polluted period (O(3,daily max)<80 ppb). The concentrations of PM(10), NO(3)(-), SO(4)(2-), NH(4)(+) and total major ions during the heavily polluted period were 1.6, 1.9, 2.4, 2.7 and 2.3 times the concentrations during the lightly polluted period, respectively. Results showed that the daily maximum concentrations of PM(10) occurred around midnight and the daily maximum ozone concentration occurred during daytime. The average concentration of SO(2) was higher during daytime, which could be explained by the transportation of coastal industry emissions to the sampling site. In contrast, the high concentration of NO(2) at night was due to the land breeze flow that transport inland urban air masses toward this site. The simulations of breeze circulations and transitions were reflected in transports and distributions of these pollutants. During heavily polluted periods, NO(3)(-) and NH(4)(+) showed a clear diurnal variations with lower concentrations after midday, possibly due to the thermal volatilization of NH(4)NO(3) during daytime and transport of inland urban plume at night. The diurnal variation of PM(10) showed the similar pattern to that of NO(3)(-) and NH(4)(+) aerosols. This indicated that the formatted secondary aerosols in the inland urban area could be transported to the coastal area by the weak land breeze and deteriorated the air quality in the coastal area at night.     

Assessment and management of air quality for an opencast coal mining area

A study for the assessment and management of the air quality was carried out at Lakhanpur area of Ib Valley Coalfield in Orissa state in India. The 24-h average concentrations of total suspended particulate (TSP) matter, respirable particulate matter (PM10), sulphur dioxide (SO2) and oxides of nitrogen (NOx) were monitored during 1 year period. Samplings were done at a regular interval through out the year at 13 monitoring stations in the residential areas and four monitoring stations in the mining/industrial areas. The 24-hr average TSP and PM10 concentrations ranged from 338.8 to 799.8 microg m(-3) and 102.5-425.6 microg m(-3) for industrial area, and 72.3-497.1 microg m(-3) and 40.8-171.9 microg m(-3) for residential area, respectively. During the study period 24-hr and annual average TSP and PM10 concentrations exceeded the respective standards set in the national ambient air quality standard (NAAQS) protocol at most residential and industrial areas. However, 24-hr and annual average concentrations of SO2 and NOx were well within the prescribed limit of NAAQS both in the residential and industrial areas. The annual and 24-hr average concentrations varied from 23.3 to 36.8 microg m(-3) and 16.0-55.2 microg m(-3) for SO2 and 23.9-41.9 microg m(-3) and 19.0-58.1 microg m(-3) for NOx, respectively. The temporal variations of TSP and PM10 fitted polynomial trend with an average correlation coefficient (R2) of 0.77 (+/-0.17) for TSP and 0.85 (+/-0.10) for PM10. On average the PM10 in the ambient air of the mining area constituted 31.94 (+/-1.76)% of the TSP. The linear regression correlation coefficient (R2) between TSP with PM10 and NOx with SO2 was 0.86 (+/-0.12) and 0.57 (+/-0.20), respectively. Maximal concentrations of TSP and PM10 occurred within the mining site based on the kriging technique. A management strategy is formulated for effective control of air pollution at source and other mitigative measures recommended including implementation of green belts around the sensitive areas where the concentration of air pollutants exceeded the standard limit.     

衡水市空气主要污染物体积质量的时间分布特征

利用衡水市环境监测站2005—2007年度大气例行检测的数据,对衡水市大气中主要污染物SO^2、NO^2、PM10体积质量值的逐日数据进行统计分析,得出了衡水市空气污染的现状和时间变化规律：（1）污染物体积质量值的月变化曲线呈槽型分布,非取暖期的空气状况明显好于取暖期,取暖期SO^2平均体积质量是非取暖期的2．45倍;（2）污染物体积质量值的日变化曲线基本为两高两低型,其中取暖期污染指数早晨出现极高值的时间比非取暖期明显偏晚;（3）污染物体积质量值的年变化表明了SO^2的体积质量在降低,而NO^2的体积质量却有了小幅增长。     

乌鲁木齐市大气环境污染特征及改善途径分析

以乌鲁木齐市环境监测站1996-2010年监测的大气中主要污染物SO2、NO2、PM10数据为依据,分析了乌鲁木齐市主要大气污染物浓度变化特征及变化趋势,阐明了乌鲁木齐市以煤烟型和沙尘型污染为主的大气污染现状,呈现出较为明显的采暖期污染重于非采暖期的特征,并提出通过改变能源结构、调整工业布局、完善相关法律法规等措施来改善乌鲁木齐市大气污染现状。     

湘潭市环境空气质量变化趋势分析及对策

本文以湘潭市1996～2003年大气监测资料数据为依据,确定了湘潭市空气中的主要污染物,并利用Spearman相关系数法对湘潭市空气质量变化趋势进行了分析,结果表明：湘潭市大气污染属于煤烟型,主要污染物为PM10、SO2,其次为NO2,三种污染物浓度均呈现上升趋势,PM10和NO2上升趋势更为明显.文章并进一步提出了改善空气质量的防治对策.     

南充市城市空气质量变化及达标分析

为了掌握南充市近年来城市空气质量变化及其达标情况,对南充市城区2008～2012年SO2、NO2和PM10的质量浓度数据进行统计分析,并计算各个站点的空气污染指数和空气质量指数。结果表明,3种污染物浓度值都有明显的下降趋势,S02浓度在0．002～0．052mg／m^3之间变化;N02浓度值从0．042mg／m^3下降到0．029mg／m^3;PM10浓度在0．060～0．063mg／m^3之间波动。南充市空气质量冬季较差,夏季较好。在5个监测点中,炼油厂空气质量最差,优良率为92．9％（85．1％）;高坪空气质量最好,优良率为99．1％（98．3％）。相关性分析表明,南充市空气污染源主要是工业燃煤和机动车尾气。     

秦皇岛市空气污染对呼吸系统疾病的影响

通过分析秦皇岛市2011—2012年每日的API值及大气PM10、 SO2、 NO2的日平均浓度变化与同时期的呼吸系统疾病日门诊人数资料,建立了时间序列分析数学模型,分析了秦皇岛市主要大气污染物与呼吸系统疾病发病的关系。发现秦皇岛市大气污染物的浓度与居民呼吸系统疾病之间存在着一定的正相关性,污染物浓度升高,居民呼吸系统疾病的就诊人数随之增加。     

北京市生态环保建设经验对南京的借鉴

北京以举办奥运为契机,全面改善了环境质量,兑现了“绿色奥运”的庄严承诺。后奥运期间,北京继续实施了一系列环境保护行动计划,大力推进生态文明建设,“绿色奥运”成果得到巩固提升。借鉴北京成功的做法和经验,特提出南京环境保护和生态建设的对策建议。     

Chemical and isotopic compositions of the Minjiang River, a headwater tributary of the Yangtze River

We describe the anthropogenic impacts on the major dissolved elements (Cl(-), NO(3)(-)-N, SO(4)(2-), and Na(+)) in the water from the Minjiang River (a headwater tributary of the Yangtze River) and upper Yangtze River in relation to increasing human activity. The major element chemistry and hydrogen, oxygen, and sulfur isotopic compositions were investigated. When the Minjiang River flows through the populated Sichuan Basin, the concentrations of Cl(-), NO(3)(-)-N, SO(4)(2-), and Na(+) gradually increase. The increasing SO(4)(2-) in the highly polluted Minjiang River had high delta(34)S values (+6.3 to approximately +13.6 per thousand), implicating the anthropogenic sources of sulfur from air pollutants, domestic wastewater, industrial effluents, and agricultural fertilizers. The water quality of the upper Yangtze River does not worsen after receiving the Minjiang River because the water from the lightly polluted Jinshajiang River contributes most of the total flux in the Yangtze River. However, these rivers deserve attention and further research because the Yangtze River is the most important river in China in terms of water quality.     

Evaluation of the temporal variations of air quality in Taipei City, Taiwan, from 1994 to 2003

Data collected from the five air-quality monitoring stations established by the Taiwan Environmental Protection Administration in Taipei City from 1994 to 2003 are analyzed to assess the temporal variations of air quality. Principal component analysis (PCA) is adopted to convert the original measuring pollutants into fewer independent components through linear combinations while still retaining the majority of the variance of the original data set. Two principal components (PCs) are retained together explaining 82.73% of the total variance. PC1, which represents primary pollutants such as CO, NO(x), and SO(2), shows an obvious decrease over the last 10 years. PC2, which represents secondary pollutants such as ozone, displays a yearly increase over the time period when a reduction of primary pollutants is obvious. In order to track down the control measures put forth by the authorities, 47 days of high PM(10) concentrations caused by transboundary transport have been eliminated in analyzing the long-term trend of PM(10) in Taipei City. The temporal variations over the past 10 years show that the moderate peak in O(3) demonstrates a significant upward trend even when the local primary pollutants have been well under control. Monthly variations of PC scores demonstrate that primary pollution is significant from January to April, while ozone increases from April to August. The results of the yearly variations of PC scores show that PM(10) has gradually shifted from a strong correlation with PC1 during the early years to become more related to PC2 in recent years. This implies that after a reduction of primary pollutants, the proportion of secondary aerosols in PM(10) may increase. Thus, reducing the precursor concentrations of secondary aerosols will be an effective way to lower PM(10) concentrations.     

Phenols and flavonoids in Aleppo pine needles as bioindicators of air pollution

The aim of the present study is to assess whether certain ecophysiological responses (contents of total phenols, total proanthocyanidins, and total and simple flavonols), in the needles of Aleppo pines (Pinus halepensis Mill.) may be valid bioindicators for the assessment of the air quality. Samples were taken at five natural sites polluted by various pollutants (NO, NO2, other NOx, SO2, and O3). The results show a decrease in total phenol concentrations with levels of nitrogen oxide pollutions (significant negative correlations between the total phenol concentrations and concentrations of NO, NO2, and other NOx). Total flavonoids (total flavonols and proanthocyanidins) are useful bioindicators for ozone pollution (significant negative correlations between total proanthocyanidins and the concentrations of ozone and significant positive correlations between total flavonols and the ozone pollution). Sulfur dioxide pollution is distinguished by low concentrations in quercetin, isorhamnetin, and kaempferol (significant negative correlations between these simple flavonols and the concentrations of SO2). This work confirms the strong interest of using the phenolic compounds of Pinus halepensis as biological indicators of air quality.     

区域大气污染的城市网络关联分析--基于粤港澳大湾区的研究

选取2013—2016年粤港澳大湾区11市大气主要污染物数据,采用社会网络分析法(SNA)对粤港澳大湾区大气污染的空间关联性进行实证研究。结果发现:①大湾区城际大气主要污染物的空间关联均呈现出较典型的网络结构特征。②城际大气污染存在明显的空间关联和空间溢出,各城市空间联系越来越密切。③大湾区大气污染空间网络具有稳定性特征,PM2.5和SO2的空间溢出得到有效控制,而PM10和NO2的空间溢出具有长期稳定性。④珠海、佛山、惠州、中山在大湾区城际大气污染空间关联网络中处于中心地位。⑤各城市在大气污染空间网络中存在明显的非均衡地位。     

成都市城区春节期间燃放烟花爆竹对空气质量的影响

利用空气质量自动监测系统分析了2013年春节期间成都市城区的SO2、NO2、CO、O3、PM10及PM2.5的浓度值,发现烟花爆竹的燃放对SO2、NO2、PM10及PM2.5的浓度有较大影响。     

Size distributions of fine and ultrafine particles in the city of Strasbourg: correlation between number of particles and concentrations of NO(x) and SO(2) gases and some soluble ions concentration determination

An Electrical Low Pressure Impactor (ELPI) was used during spring and autumn 2003 in the centre of Strasbourg for the measurement of atmospheric aerosols size distribution. The concentration of NO(x) and SO(2) in air was simultaneously measured with specific analysers. Samples were collected in the range 0.007-10 microm in equivalent aerodynamic diameter size. Number distributions are representative of a pollution originating from urban traffic with a particle size distribution exhibiting a nucleation mode below 29 nm and an accumulation mode around 80 nm in size. A mean particle density equal to 39000+/-35000 total particles per cm(3) with a size ranging from 7 to 10 microm was obtained after a sampling period of 2 weeks in spring. About 86.9% of the number of particles have an aerodynamic diameter below 0.1 microm and 13.1% between 0.1 and 1 microm. Correlation coefficients between the number of particles impacted on each ELPI plate and gas concentrations (SO(2) and NO(x)) showed that the numbers of particles with diameter between 0.10 and 0.62 microm are highly related to the NO(x) concentration. This result indicates that particles are traffic induced since NO(x) is mainly emitted by cars as shown by measurements on various sites. Particles are less clearly correlated to the SO(2) concentration. Particle analysis on different ELPI plates for a sampling period of 2 weeks in autumn showed high level of soluble NO(3)(-), SO(4)(2-) and NH(4)(+) ions. Indeed, up to 90% b.w. of these three species were found in the particle range 0.1-1 microm. The formation of particulate NH(4)NO(3) is favoured by high NO(x) concentration, which induces the formation of gaseous HNO(3).     

春节期间燃放烟花爆竹对南宁市环境空气的影响分析

根据2011年春节期间南宁市主要污染物（PM10、SO2、NO2）浓度,分析了燃放烟花爆竹对环境空气的影响。结果表明：除夕和元宵节大量燃放烟花爆竹能导致PM10在短时间内快速上升,但对SO2和NO2浓度的影响不明显。除夕期间23：00-2：00是PM10受燃放烟花爆竹影响最大时段,城市居民居住集中区PM10浓度远高于其他区域。     

Assessment and prediction of overall environmental quality of Zhuzhou City,Hunan Province,China

Fuzzy comprehensive assessment was applied to assess the quality of air, water and soil in Zhuzhou City, Hunan Province, China based on the monitoring data of 1997 and National Environmental Quality Standards of China. Results show that Zhuzhou air quality belonged to Class II with industry and traffic as the main control areas and SO2 as the major pollutant. Water quality within the Zhuzhou section of the Xiang River belonged to Class IV, with the Xiawan section as the main control area and NH3-N as the major pollutant. Soil environmental quality with respect to heavy metal pollution belonged to Class III, with Cd as the major pollutant. For those pollutants showing significant differences between the years of 1990-1997, predictions were made for the environmental quality for the period 1998-2003. According to the assessment results, cleaner production in the key pollution sources and the establishment of a municipal sewage treatment plant are proposed to improve the environmental quality of Zhuzhou City.     

我国城市大气污染现状与特点

中国城市化和工业化的快速发展与能源消耗的迅速增加,给中国城市带来了很多空气污染问题。20世纪70年代期间,煤烟型污染排放成为中国工业城市的特点;80年代,许多南方城市遭受严重的酸雨危害;近年来,汽车尾气排放的NOx、CO及随后形成的光化学烟雾,使得许多大城市的空气质量恶化。城市空气污染影响着城市居民的健康和城市的发展。为控制空气污染和保护大气环境质量,我国政府已经实施了许多规划。本文概述了当前中国城市特别是重点城市的空气质量状况,描述一些主要城市空气污染物包括总悬浮颗粒、PM10、PM2．5、SO2、酸雨、NOx/NO2的特点。尽管采取了很多应对措施,但目前我国城市的空气质量依然不容乐观,文中还讨论了未来城市空气污染控制面临的问题。     

基于模糊数学的大气环境质量综合评价

鉴于大气环境质量评价中客观存在的不确定性和模糊性,运用模糊数学方法,选用SO2、NO2、PM10作为评价因子,参照大气环境质量标准,通过计算污染因子权重分配系数和隶属度对乌鲁木齐市2004年至2010年大气环境质量给出客观的评价,综合评价结果表明乌鲁木齐市总体大气环境质量为轻度污染(三级),但空气质量在逐年好转,SO2和PM10依然是乌鲁木齐市空气质量的制约因子,且NO2的权重在逐年上升。模糊综合评判考虑环境空气质量评价的模糊性,根据污染物浓度对各级别的贴近度考察污染物的级别,评价结果比较直观,可以细致准确的评价环境质量等级,评价结果基本可以反映环境空气污染的情况。     

彭州市环境空气质量变化趋势及规律分析

“九五”期间 ,彭州市环境空气监测主要因子有二氧化硫、二氧化氮、总悬浮颗粒物、降尘和降水。市区空气中主要污染物排序依次为降尘、总悬浮颗粒物、二氧化硫、二氧化氮。其季节变化规律一般为第一季度 >第二季度 >第四季度 >第三季度。主要污染物年变化依次为降尘、总悬浮颗粒物、二氧化硫、二氧化氮 ,在“九五”期间除降尘量出现缓慢下降趋势外 ,其余 3项均不明显。     

重大事件对入境游客旅游动机的影响——北京奥运会的案例研究

以2008年北京奥运会为例,通过入境游客行为调查分析奥运会举办对入境游客旅游动机的影响。结果表明,影响入境游客旅游动机的因素主要有限制性因子、社会心理因子和文化教育因子,其中社会心理因子和文化教育因子与北京奥运会显著相关;入境游客的年龄、学历和家庭结构与奥运会举办呈现负相关;游客的年龄、学历、年收入和家庭结构等变量受奥运会影响显著,提出了相应的营销策略。