室内外空气污染对学龄儿童呼吸系统影响的研究

通过对污染区和对照区 2 0 0 0多名学龄儿童呼吸系统症状、疾病患病率比较 ,并运用非条件 Logistic回归分析方法 ,就室内外空气污染对学龄儿童呼吸系统健康的影响 ,进行了研究。结果显示 ,污染区室内外空气污染较严重 ,大气中TSP、SO2 和 NOx 的浓度均超过国家二级标准 ,其儿童呼吸系统症状、疾病患病率明显高于对照区。对儿童呼吸系统发病有显著影响的环境因素是 :大气污染、被动吸烟、家庭燃煤、冬季取暖和室内油烟污染程度。其中咳嗽与以上五个因素有显著的正相关关系 (P<0 .0 5) ;除被动吸烟外 ,支气管炎与其它四个因素呈显著正相关 (P<0 .0 5) ;咳痰与大气污染、被动吸烟、冬季取暖和室内油烟污染程度 ,气喘和呼吸系统疾病住院率与大气污染和室内油烟污染正相关关系显著 (P<0 .0 5)。哮喘与室内外空气污染无显著的统计学联系     

鞍山市SO2源排放污染贡献分析

以污染源排放数据为基础，应用ADMS—城市扩散模型模拟分析了鞍山市SO2污染源对空气环境质量的贡献，探讨了污染控制的主要因素。结果表明；鞍山市SO2染贡献中，来自供暖锅炉为44．76％；来自鞍钢—发电为13．刀％；来自鞍钢烧结厂为10．44％；低架源吨排放量污染贡献为中架源、高架源的5．67倍、33．14倍。因此，鞍山市s02污染治理重点应为供暖锅炉、鞍钢—发电、鞍钢烧结厂。不同高度源应以低架源污染控制为主。     

某大型化工企业周边居民区积尘中多环芳烃调查及健康风险评价

以江苏省某大型化工企业周边居民区为研究区域,调查企业主导风的下风向2 km范围内的居民区以及对照区积尘中多环芳烃(PAHs)含量,对16种PAHs污染分布和特征进行研究,并评估积尘PAHs通过暴露途径对人群健康风险。结果表明:居民区积尘中16种PAHs全部检出,污染区∑PAHs均值为2 294μg/kg,明显高于对照区145μg/kg;污染区7个测点中有6个测点苯并(a)芘出现超标,超标倍数为0. 17～2. 5倍;所测的16种PAHs化合物中蒽、荧蒽、芘、、苯并(b)荧蒽、苯并(k)荧蒽、苯并(a)芘浓度相对较高;通过PAHs主成分分析和特征比值判断,不完全燃烧源对积尘中PAHs贡献率达77. 4%,污染区PAHs来源呈现石油燃烧、煤燃烧以及石油源的复合污染特征,对照区PAHs主要来源为煤的不完全燃烧;以苯并(a)芘毒性等效浓度进行风险评估,污染区致癌风险值明显高于对照区,儿童摄入PAHs风险总体高于成人;对照区儿童和成人致癌风险均小于1×10~(-6),不存在致癌风险;污染区儿童和成人平均致癌风险值分别为3. 95×10~(-6)、2. 65×10~(-6),在可接受范围内,但存在潜在致癌风险。     

大气氟污染的植物监测的研究

本文对大气氟污染与植物叶片中含氟量之间的关系进行了研究,结果表明：（１）一定时间内大气中氟浓度与植物叶片的吸氟量和积累量呈正相关,且相关关系极显著;（２）植物叶片中的含氟量与测定点距污染源的距离呈负相关,距污染源越远在一定时间内植物叶片中含氟量和氟的积累量越低,依此可将污染区划分成严重污染区、中度污染区、轻度污染区和相对清洁区四类;（３）在树木生长期（５～９月份）内,叶片中的含氟量随生长时间的增加呈直线上升趋势。     

镇江地区土壤样品中重金属Cd含量与空间分布

通过对镇江地区土壤样品中 Cd 监测结果统计分析表明，全市69个样品中 Cd 质量比范围为0．06 mg/kg ～1．37 mg/kg，均值为0．23 mg/kg，与全国背景值相比，有一定程度富集；样品中 Cd 质量比成偏态分布，相对标准偏差较大。选用单项污染指数法对 Cd污染程度评价表明，镇江地区83％的土壤样品未受到 Cd 污染，14％为轻度污染，3％为中度污染。结合镇江地区的产业结构分析，电镀行业是土壤 Cd 污染的主要来源，道路运输、农药化肥在一定程度上也加重了污染。     

聊城市春季交通源大气污染特征分析

为研究交通源空气污染状况，通过采用自动监测系统，于2009年春季期间，对在聊城市主干道附近布设的6个监测点的空气质量进行监测，获得了其空气污染物浓度特征：（1）所有监测点SO2、NOx日均值与O3小时均值均未超标，且O3污染指数很低，表明二次污染甚微；（2）CO是首要污染物，PM10次之，两者日均值超标率均为100％。分析了超标污染物与交通流量的关系，结果表明，PM10浓度与交通量有较高的线性相关性，而CO浓度与交通流量无显著相关性。     

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。     

环境空气质量不同监测方法的对比

在对环境空气质量的监测中，有些城市存在着人工采样实验室测定和连续自动监测系统监测并行的情况。为考察这两种方法监测结果的异同，于夏季连续20d和冬季连续15d进行了对比监测。监测项目为SO2，NO2和PM10。在对比监测中采取了质量控制措施。对人工采样实验室测定进行了综合采样器流量校正，现场空白样和全程序平行样测定；在自动监测系统中，对SO2，NO2监测仪器作零点，标点校正，PM10监测仪作K0校正。对所测得的209个日均值进行了统计分析，结果表明：SO2，PM10两方面测定结果方差相同，NO2两种方法在冬夏两季方差间均有显著性差异；夏季SO2，PM10，冬季NO2两种方法监测结果一致；冬季SO2，PM10，夏季NO2两种方法监测结果有显著性差异；样品浓度水平及天气状况对两种方法测定结果的差异亦产生较大的影响。     

通州市大气质量监测点数的设置

用比对方式分析拟设监测点和已设监测点的大气中SO2，NOx和TSP，得出拟设监测点和已设监测点的年日均值的相对偏差小于15％，并用F检验法和t检验法对已设监测点5年的大气监测结果进行方差和显著性差异检验，结果表明通州市环境监测站提出的拟在监测站设置1个空气自动监测点取代原有的两个监测点的想法是可行的。     

青岛市采暖期PM2．5与大气能见度的关系

利用青岛市大气综合观测站的研究性监测数据，分析了2011年采暖期PM2.5和能见度的相关性，结果表明：①能见度在≤3km时，对应的PM2.5浓度超出0．250mg／m^3，属于严重污染；②PM2.5浓度对能见度的影响存在一临界区域，当PM2.5浓度低于该临界区时能见度会随PM2.5浓度减少迅速改善，临界值大致位于PM2.5浓度为0．100mg／m^3处；③相对湿度小于85％时，能见度与PM2.5浓度呈显著负相关。其中，相对湿度在60％-70％时，能见度与PM2.5浓度之间的相关性最好，PM2.5对能见度的影响最直接。     

北京市大气气态汞变化特征

采用Tekran 2537X大气汞分析仪在线测量北京市城区大气中气态元素汞(GEM,简称大气汞) 浓度,研究大气汞浓度随不同气象条件的变化特征。通过分析2016年10月—2017年9月大气汞监测数据发现,该监测点全年大气汞浓度为0.48～16.25 ng/m³,均值为(3.41±1.79)ng/m³。春季、夏季、秋季和冬季大气汞浓度均值依次为2.93 、2.95、4.27、3.37 ng/m³,其中,秋季大气汞浓度明显高于其他季节 。秋季大气汞浓度显著偏高可能由不利的大气扩散条件导致。大气汞夜间浓度显著高于白天浓度。同时,将大气汞与SO₂、CO及PM_2.5进行相关性分析,发现大气汞浓度变化趋势与SO₂、CO和PM_2.5呈显著正相关。结合风向和风速进行污染来源分析,得到该点位大气汞在西南和东北方向上受人为排放源影响较大。污染源类型分析表明,冬季大气汞与CO同源性强,主要来自本地供暖用煤。     

Influence of local and regional Mediterranean meteorology on SO₂ ground-level concentrations in SE Spain

This work presents the results of a 4-year study on sulfur dioxide (SO(2)) ground-level concentrations in an area of southeastern Spain, the L'Alacantí region, where the cement industry is important and coke use extends to other industries as well. The main source of SO(2) emissions in the area was found to be a the Lepold cement plant (one of the two cement plants in the area). The high levels of SO(2) probably extend back to 1920 when this plant began operations. Both local and Mediterranean-scale meteorological processes influence the SO(2) ground-level concentration and together explain the dispersion dynamics of this pollutant. The location and topography of the study zone result in NW Atlantic advections and E-SE sea breezes being the dominant atmospheric circulation patterns in the area. Under stable meteorological conditions, minor local circulations are also relevant to the SO(2) concentration levels. The high frequency of local circulations determines a concentration pattern that changes during the day, with impacts occurring preferentially in a W-NW direction from the source at midday (sea breeze and strong thermal mixture), and in a SE direction at night. This causes the SO(2) concentrations to present well-defined diurnal cycles with well-differentiated shapes depending on the location of the sampling station relative to the source. The dependence of SO(2) 10 min levels on the wind origin and speed throughout the day has been evaluated by studying statistical parameters including P95, P50 and arithmetic mean. Exceedances occur under specific dispersion conditions at distances less than 1 km from the source. However, the source is traceable at larger distances and the levels are higher than typical urban ones. P95 was used as an estimator of the occurrence of larger levels or impacts. Leeward of NW winds and the source, at night and in early morning, P95 levels are comprised between 30 and 55 μg m(-3). In contrast, with SE winds and at midday, P95 levels stay at 17 μg m(-3). The same P95 was obtained for winds lower than 5 m s(-1), which represent 89% of the winds in the area. However, stronger winds can have P95 levels above 125 μg m(-3).     

Estimating residential air pollution exposure among citizens in Oslo 1974-1998 using a geographical information system

Annual concentration fields of SO2 and NOx for the period 1974-1998 are calculated for a 22 x 18 km2-grid in Oslo. In a study of lung cancer and air pollution in Oslo, 16209 men living in Oslo have been followed from 1972/73 to 1998. This paper presents a method for estimating their annual residential air pollution exposure for SO2 and NOx. In the exposure assessment the National Population Register provided information on home addresses. Each participant was given an annual average air pollutant concentration outdoors of the address he lived the largest part of that year. Persons living close to streets with high traffic were given an additional concentration, and persons who moved outside Oslo were given a region value for each year. Due to regulations of the sulfur content in fuel oil and a general change of local heating systems to electricity or distant heating, the SO2-concentrations in Central Oslo were reduced during the period from about 60 microg m(-3) in 1974-75 to about 4 microg m(-3) in 1997-98. Due to the increasing traffic the NOx-concentrations have increased slowly, from about 40 microg m(-3) in 1974-84 to about 60 microg m(-3) in 1989. After the introduction of catalyst cars the concentrations were reduced to about 45 microg m(-3) in 1997-98.     

Biochemical responses in tree foliage exposed to coal-fired power plant emission in seasonally dry tropical environment

A biomonitoring study was conducted to investigate the responses of plants exposed to power plant emission in a dry tropical environment. For this purpose, five sampling sites were selected in the prevailing wind direction (NE) at different distance to thermal power plant (TPP) within 8.0 km range and a reference site was selected in eastern direction at a distance of 22.0 km. The two most common tree species, Ficus benghalensis L. (Evergreen tree) and Dalbergia sisso Roxb. (deciduous tree) were selected as test plants. Ambient sulphur dioxide (SO(2)), nitrogen dioxide (NO(2)), suspended particulate matter (SPM), respirable suspended particulate matter (RSPM), dust-fall rate (DFR) and plant responses such as leaf pigments (chlorophyll a, chlorophyll b and carotenoids), ascorbic acid, sugar and sulphate-sulphur (SO4(2-)-S) contents were measured. Ambient SO(2), NO(2), SPM, RSPM and DFR showed significant spatial and temporal variation at different sites. Considerable reduction in pigment (chlorophyll a, chlorophyll b and carotenoids) and sugar contents were observed at sites receiving higher pollution load. Ascorbic acid exhibited significant positive correlation with pollution load. Accumulation of SO4(2-)-S in leaf tissue showed significant positive correlation with ambient SO(2) concentration at all the sites. At the same time, SO4(2-)-S showed significant negative correlation with pigment and sugar content. D. sisso Roxb. tree was found to be more sensitive as compared to F. benghalensis L. tree.     

2009—2017年南充市城区酸雨特征分析

为了更为有效地治理酸雨污染,根据南充市环境监测中心站提供的2009—2017年降水监测数据,对南充市城区酸雨污染情况进行了分析及源解析。结果表明:2009—2017年,南充市降水pH从4.60波动上升至5.6以上,酸雨频率波动下降,酸雨污染情况有所改善;[SO4^2-]/[NO3^-]从4.92下降至0.86,酸雨污染类型从硫酸型转变为硝酸-硫酸型。同时,对比分析2014—2016年大气污染物排放源可知,NOx排放源中,工业污染源占比由14%降至11%,生活污染源由2%上升至5%;SO2排放源中,工业污染源占比由62%降至43%,生活污染源由38%上升至57%,表明南充市SO2污染已从以工业污染源为主转变为工业污染源与生活污染源并重。     

植物大气污染响应高光谱监测实例研究

选择某钢铁企业绿化树种桂花当年生叶片作为供试样本,测试叶片光谱反射率之后分别测试叶液pH值、叶片含硫量、叶绿素含量、叶片含水量,研究生长在S02 污染环境下桂花叶片光谱的变化以及相应的部分生理生化指标的变化.研究表明,污染较严重生产区采集的叶片光谱反射率和红边斜率均较生活区低.叶片含硫量随大气SO2 浓度的增减而相应地变化,叶片叶绿素含量、叶液pH值、叶片含水量的变化规律与叶片含硫量和大气SO2浓度的变化规律相反.     

江苏省春季臭氧污染特征分析

对2018—2020年春季江苏省臭氧(O 3)污染特征进行了分析。结果表明,江苏省ρ(O 3)均超过二级标准限值,分别超出5.6%,11.3%和8.8%,沿江区域ρ(O 3)略高于苏北区域;ρ(O 3-1 h)日变化呈“单峰型”,峰值呈逐年上升趋势,非污染日苏北区域ρ(O 3-1 h)均高于沿江区域,主要时间段体现在夜间至次日早晨,污染日中午至傍晚时段,沿江区域ρ(O 3-1 h)高于苏北区域;日ρ(O 3)高频区间为80~120μg/m 3,频率约为20%,沿江区域高频区间为60~120μg/m 3,苏北区域高频区间为80~140μg/m 3,频率均超过15%。沿江和苏北区域日ρ(O 3)在临界区间的出现频率偏差不大,O 3污染潜在风险相当;江苏省ρ(O 3)超标率呈逐年递增趋势,超标现象主要集中在4—5月;O 3作为首要污染物且超标的占比逐年升高,而PM 2.5作为首要污染物且超标的占比逐年降低,江苏省春季空气质量影响因子逐渐从PM 2.5转为O 3;平均>90%的O 3污染日为轻度污染,受O 3影响空气质量达到中度污染的占比较小,平均<10%,未出现因O 3导致的重度或严重污染日。     

杭州市酸雨污染现状及成因分析

对杭州市1998年—2002年的降水监测数据进行了统计分析。结果表明,2002年杭州市区酸雨频率为73.6%,降水pH均值为4.68,临安酸雨频率高达97.5%,降水pH均值为4.04,其余几个县(市)降水酸度均<5.60。杭州市有82.1%面积属重酸雨区。指出,杭州市气象条件不利于大气中SO2、NOx的扩散,土壤扬尘不能对酸雨的形成起有效的缓冲作用,因此只有通过调整能源结构,从源头控制煤质(含硫量),严格控制机动车尾气污染,以减少SO2、NOx排放量。