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。     

白银市城区大气SO2污染现状模拟测算研究

根据白银市1994－1996年监测资料可知：7个监测点中有6个监测点连续三年SO2日均体积质量均超过国家环境质量标准，超标均在2－7倍之间，在污染源调查和监测的基础上，对区域空气环境SO2污染现状进行模拟，所选网格区中的所有点位，模拟值均超过了国家空气环境质量标准，超标题严重的区域为二，三类功能区的过渡带，最大超标值为标准值为3．66倍。     

佛山市高明区环境空气污染物变化分析

根据佛山市高明区2007—2012年环境空气监测数据资料,分析该区近6年来空气污染物的变化趋势和影响因素。结果表明,2007—2012年该区空气污染呈现由单一型污染向复合型污染转变,综合污染指数总体上升,污染物以SO2、PM10为主。SO2、NO2浓度呈逐年增长,PM10则呈平稳状态。三者污染浓度最高值均在每年第4季度出现。该区的SO2浓度主要受工业污染源影响;NO2也受工业影响显著,与机动车数量呈正相关;PM10与烟粉尘排放量呈正相关,与降水量呈负相关。因此,改善该区环境空气应着重从控制工业污染源、扬尘污染、机动车排气污染3大方面开展工作。     

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。     

金昌市环境空气中SO2污染特征及治理措施

通过对金昌市5年环境空气中SO2浓度变化分析，认识到工业污染源治理是改善SO2污染的主要原因。     

上海浦东新区环境空气质量特点及成因分析

为了解浦东新区建区以来的环境空气质量，浦东新区环境保护监测站对1994年－2001年环境空气中主要污染物监测结果进行了分析：SO2，NOx,TSP的质量浓度和分指数结果相比较，TSP占有最大权重，处于污染主导地位，其主要污染源为工业粉尘，烟尘，机动车排放的尾气，建筑施工及道路交通产生的尘污染。     

CO对定电位电解法测定SO2的影响及对策探讨

采用定电位电解法测定固定污染源废气中SO2,根据CO标准气体干扰SO2 测定的规律建立数学模型,并在实验室用CO标气对数学模型进行验证.用该数学模型对5家企业固定污染源废气中SO2 监测,将测定结果与碘量法的测定结果比对,绝对误差与相对误差在允许范围内.     

乌鲁木齐市采暖期SO_2污染空间分布特征分析

对乌鲁木齐市采暖期进行SO2网格布点监测。结果表明:采暖期SO2浓度值分布在49~364μg/m3之间,72.4%的网格监测值超过国家二级日标准,污染严重。SO2浓度基本呈现4个梯度:第一梯度为市区西北部,SO2浓度小于120μg/m3;第二梯度为市区东北部,浓度为120~160μg/m3;第三梯度为第四梯度外围,SO2浓度为160~200μg/m3;第四梯度为市区中部及市区南部,SO2浓度大于200μg/m3。SO2污染随海拔高度的递增而增加,城市北部污染较轻,城市中心地带为重污染区域。     

昆山市夏秋季节大气PM2.5中水溶性无机阴离子的污染特征

对昆山市区域7个点位夏秋季的5中水溶性无机阴离子(SO2-4、NO-3、NO-2、Cl-、F-)的污染特征进行了调查,结果表明,昆山市夏季大气PM2.5中5种离子平均值排序为:ρ(SO2-4)ρ(Cl-)ρ(NO-3)ρ(F-)ρ(NO-2);秋季平均值排序为:ρ(SO2-4)ρ(NO-3)ρ(Cl-)ρ(F-)ρ(NO-2)。SO2-4、NO-3和Cl-3者的总量在PM2.5中占比20%。除F-以外各区域离子的平均值秋季比夏季要高。ρ(NO-3)/ρ(SO2-4)表明,固定污染源在昆山市大气颗粒物污染中仍然占很大比重,但大部分测点的比值接近1,说明移动源也是昆山大气颗粒物的重要污染源。     

基于在线监测数据的青奥会废气重点污染源临时管控效果评估

简述了南京市废气重点污染源在线监测系统的组成和工作原理。根据2014年南京青奥会废气重点污染源环境临时管控要求,利用在线监控点位对7月份(青奥会前)和8月份(青奥会期间)重点废气污染源在线监测数据进行了统计分析。结果表明,青奥会期间南京市管控废气重点污染源的SO2和NOX排放量虽有个别企业出现增加,但整体排放量均有所降低,环境空气中SO2和NOX的平均值也有所降低,基本达到了临时管控要求。     

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。     

乌鲁木齐市采暖季空气质量变化趋势分析

为了定量评价乌鲁木齐市采暖季空气污染近五年的治理成效，给环境治理决策提供科学依据，运用回归分析方法，对乌鲁木齐市采暖季空气质量的浓度、级别和变化规律进行回归分析。分析结果表明，PM10、SO2、NO2三项污染物的浓度都有所下降，空气质量级别的污染天数呈现明显的月变化规律。乌鲁木齐市采暖季空气的重污染状况有所遏制，但SO2污染凸现，在下一步的治理工作中，加强尘污染治理的同时要加大对SO2的治理力度。     

A Simple Model for Urban Background Pollution

A simple urban background pollution model is presented. Contributions from the individual area sources, subdivided into a grid net of a resolution of 2km × 2km, are integrated along the wind direction path assuming linear dispersion with the distance to the receptor point. Horizontal dispersion is accounted for by averaging the calculated concentrations over a certain, wind speed dependent wind direction sector, centred on the average wind direction. Formation of the nitrogen dioxide due to oxidation of nitrogen monoxide by ozone is calculated using a simple chemical model based on assumption of a photochemical equilibrium on the time scale of the pollution transport across the city area. The rate of entrainment of fresh rural ozone is governed by this time scale. The model is suitable for calculations of urban background when the dominating source is the road traffic. For this source the emissions take place at ground level, and a good approximation is to treat the emissions as area sources, but with an initial vertical dispersion determined by the height of the buildings.     

火电厂烟气自动化监测系统的比对监测

介绍了火电厂烟气自动化在线监控系统按照《固定污染源烟气连续监测系统技术要求及检测方法》(HJ/T 76-2001),以及《固定污染源排气中颗粒物测定与气态污染物采样方法》(GB/T 16157-1996)和《固定污染源排气中二氧化硫的测定定电位电解法》(HJ/T 57-2000)对大气污染物中颗粒物、二氧化硫和流速进行了比对监测,结果表明,颗粒物、二氧化硫和流速的测定结果均符合规定要求.     

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.     

Analysis of Long-term Measurements of Airborne Concentrations of Sulphur Dioxide and SO42- in the Rural United Kingdom

During the last two decades, the importance of sulphur dioxide as a pollutant has moved away from its association with suspended particulate matter, to it being a precursor of SO ₄ ^2- aerosol (acidic e.g. sulphuric acid, or neutralised e.g. ammonium sulphate). Co-located concentration data of sulphur dioxide and SO ₄ ^2- , at nine monitoring sites situated in predominantly rural areas in the United Kingdom, collected over the time period 1979–1995, have been analysed. The time series for both species are discussed for the sites. Further analysis has shown that there is a degree of correlation between sulphur dioxide and SO ₄ ^2- for most of the sites considered. This correlation is of approximately the same level for most of the sites taken independently and together, and in most cases the slopes and intercepts associated with the simple empirical model equations arising from the correlation analysis, are of the same order of magnitude. The implementation of these site-dependent model equations within dispersion models for the prediction of the concentration of airborne sulphate aerosol from knowledge of sulphur dioxide concentration is discussed. Furthermore, the correlation analysis revealed the influence of transported sulphate aerosol on the local concentration, especially during high concentration episodes.     

浙江省环保重点城市SO 2 排放的控制模式

通过分析城市SO2 地面浓度来源 ,运用高、中、低架源对地面污染物浓度贡献的理论及高斯烟羽模式推出SO2空气质量管理模式 ,确定了城市SO2 地面环境质量的控制目标。     

Detection of sulphur dioxide in the air using Scotch pine needles

Air quality is especially important in surface layers, for it is this layer that provides the living components of environment with the needed oxygen and carbon dioxide. Various air polluting gases penetrate cells affecting and contaminating them. Chloroplast shell of some pine species, for instance, doubles under the impact of carbon dioxide which is followed by tillacoids swelling and reduction.Literature provides opinions of some authors, who consider Scotch pine needle to be a biological indicator of sulphur dioxide. Others object to it basing on the observations of physiological development.The property of a Scotch pine as that of biological indicator manifests in SO₂ absorption by its needles. The analysis of total content of SO₂ in the needles shows an increase of SO₂ concentration.Sulphur in the needles is found in the form of organically bound sulphur, aminoacids, hormones as well as in the form of sulphates.Basing on our previous analysis we have generalized the data on the correlation concentrations of sulphur dioxide in the air and general concentrations of sulphur in the needles. We have supplemented the observations with the analyses of organically bound sulphur and concentrations of nonorganic sulphur. According to research data, needles contain a characteristic and rather stable quantity of organically bound sulphur.So we may state that the SO _inf4 ^sup2– concentration and the amount of SO₂ absorbed from the air are interdependent.Some authors state that SO _inf4 ^sup2– content in the soil doesn't affect sulphur content in pine needles. That is why we studied the affect of SO _inf4 ^sup2– content in the soil on sulphur content in Scotch pine needles.We could prove this statement by means of various kinds of analyses only partially. The ion transport is affected by the presence of other ions, pH and a lot of other factors.What may be said for sure is that different qualities of soils gave only minor and insignificant deviations.Hence our assumption about the SO₂ contamination from air, proved by its effect on the soils, turns to suit approximate measurements.     

Spatial variability of air pollutants in the city of Taranto, Italy and its potential impact on exposure assessment

Epidemiological studies typically use monitored air pollution data from a single station or as averaged data from several stations to estimate population exposure. In industrialized urban areas, this approach may present critical issues due to the spatial complexities of air pollutants which are emitted by different sources. This study focused on the city of Taranto, which is one of the most highly industrialized cities in southern Italy. Epidemiological studies have revealed several critical situations in this area, in terms of mortality excess and short-term health effects of air pollution. The aims of this paper are to study the variability of air pollutants in the city of Taranto and to interpret the results in relation to the applicability of the data in assessing population exposure. Meteorological and pollution data (SO2, NO2, PM10), measured simultaneously and continuously during the period 2006–2010 in five air quality stations, were analyzed. Relative and absolute spatial concentration variations were investigated by means of statistical indexes. Results show significant differences among stations. The highest correlation between stations was observed for PM10 concentrations, while critical values were found for NO2. The worst values were observed for the SO2 series. The high values of 90th percentile of differences between pairs of monitoring sites for the three pollutants index suggest that mean concentrations differ by large amounts from site to site. The overall analysis supports the hypothesis that various parts of the city are differently affected by the different emission sources, depending on meteorological conditions. In particular, analysis revealed that the influence of the industrial site may be primarily identified with the series of SO2 data which exhibit higher mean concentration values and positive correlations with wind intensity when the monitoring station is downwind from the industrial site. Results suggest evaluating the population exposure to air pollutants in industrialized cities by taking into account the possible zones of influence of different emission sources. More research is needed to identify an indicator, which ought to be a synthesis of several pollutants, and take into account the meteorological variables.