Statistical Analysis of Air Pollutants and Meteorological Parameters in Afyon, Turkey

In this study, the relation between sulfur dioxide (SO₂) and particulate matter (PM) concentrations periodically measured in the city of Afyon’s atmosphere with meteorological factors such as precipitation, humidity, temperature, wind velocity, and inversion were investigated. The mean values of SO₂ and PM concentrations measured during the winter months of October–March 1990–1999 were correlated with the meteorological parameters of the same period. Simple and multiple linear regression analysis were utilized to evaluate the contribution of meteorological variables. The statistical results show that the pollutants, i.e., SO₂ and PM are dependent upon humidity, temperature, and inversion at the 1% significance level; while the dependence of both pollutants with temperature is negative when those of humidity and inversion are positive. Two models in which temperature and inversion are dependent with multiple variables are recommended for predicting the contribution of meteorological parameters on SO₂ and PM. In addition, the relationship between humidity, temperature, and inversion with pollutants is also determined using nonlinear (polynomial) models.     

Economic valuation of health impacts of air pollution in Mumbai

Air pollution leads to serious negative impacts on health. Thephysical evidence is compelling. An attempt has been made inthis paper to establish dose-response relationship of AmbientAir Quality Index and human health, based on time spent by anindividual in different microenvironments during one day.Economic valuation of morbidity and mortality has been attemptedthrough lost salary approach. The results show that theavoidance cost is 29% of the total health damage cost.     

Using improved neural network model to analyze RSP,NOx and NO2 levels in urban air in Mong Kok,Hong Kong

As the health impact of air pollutants existing in ambient addresses much attention in recent years, forecasting of airpollutant parameters becomes an important and popular topic inenvironmental science. Airborne pollution is a serious, and willbe a major problem in Hong Kong within the next few years. InHong Kong, Respirable Suspended Particulate (RSP) and NitrogenOxides NO_x and NO₂ are major air pollutants due to thedominant diesel fuel usage by public transportation and heavyvehicles. Hence, the investigation and prediction of the influence and the tendency of these pollutants are ofsignificance to public and the city image. The multi-layerperceptron (MLP) neural network is regarded as a reliable andcost-effective method to achieve such tasks. The works presentedhere involve developing an improved neural network model, whichcombines the principal component analysis (PCA) technique and theradial basis function (RBF) network, and forecasting thepollutant levels and tendencies based in the recorded data. Inthe study, the PCA is firstly used to reduce and orthogonalizethe original input variables (data), these treated variables arethen used as new input vectors in RBF neural network modelestablished for forecasting the pollutant tendencies. Comparingwith the general neural network models, the proposed modelpossesses simpler network architecture, faster training speed,and more satisfactory predicting performance. This improvedmodel is evaluated by using hourly time series of RSP, NO_x and NO₂ concentrations collected at Mong Kok Roadside Gaseous Monitory Station in Hong Kong during the year 2000. By comparing the predicted RSP, NO_x and NO₂ concentrationswith the actual data of these pollutants recorded at the monitorystation, the effectiveness of the proposed model has been proven.Therefore, in authors' opinion, the model presented in the paper is a potential tool in forecasting air quality parameters and hasadvantages over the traditional neural network methods.     

Determination of heavy metal pollution with environmental physicochemical parameters in waste water of Kocabas Stream (Biga, Canakkale, Turkey) by ICP-AES

Waste water pollution of industrial areas can answer for the serious consequences of one of the most important environmental threats to the future. In this study, inductively coupled plasma-atomic emission spectrometry method (ICP-AES) is proposed to determine heavy metals (Pb, Cu, Cd, Cr, Zn, Al, Fe, Ni, Co, Mn) and major elements (Ca, Mg) in waste water of Kocabas Stream. The concentration of metals in the waste water samples taken from 9 different stations (St.) in Biga-Kocabas Stream in November 2004 (autumn period) were determined after simple pretreatment of samples by the proposed ICP-AES method. An analysis of a given sample is completed in about 15 min for ICP-AES the method. The results of heavy metals concentrations in waste water were found between 0.00001–77.69610 mg l⁻¹ by the ICP-AES technique. The concentrations of Pb, Cd, Cu, Zn, Cr, Al, Fe, Mn, Ni, Co, Mg and Ca 0.00001 (St.3,6,7) – 0.0087 mg l⁻¹ (St.9), 0.00001 (St.4-7) – 0.0020 mg l⁻¹ (St.8), 0.00001 (St.1,3-7,9) – 0.0041 mg l⁻¹ (St.2), 0.0620 (St.2) – 0.2080 mg l⁻¹ (St.3), 0.0082 (St.6) – 0.2290 mg l⁻¹ (St.8), 0.3580 (St.2) – 1.7400 mg l⁻¹ (St.3), 0.2240 (St.1) – 0.6790 mg l⁻¹ (St.3), 0.0080 (St.1) – 1.5840 mg l⁻¹ (St.3), 0.0170 (St.3) – 0.0640 mg l⁻¹ (St.2), 0.0010 (St.1,4,5,8) – 0.0080 mg l⁻¹ (St.3), 5.0640 (St.9) – 5.2140 mg l⁻¹ (St.1) and 43.3600 (St.2) – 77.6961 mg l⁻¹ (St.9), respectively. Also we measured environmental physicochemical parameters such as temperature, salinity, specific conductivity, total dissolved solid (TDS), pH, oxidation and reduction potential (ORP), and dissolved oxygen (DO) in the waste water at sampling stations.     

珠海市大气污染时空分布特征及成因分析

应用统计方法分析了珠海市的大气污染物SO2、NO2、PM10浓度的时空分布特征.针对珠海市的污染源分布格局和当地的气象条件对上述污染物时空分布特征的成因进行了分析.研究表明,珠海市的污染物浓度空间分布较为均匀,没有显著的空间变化梯度出现;但在时间分布方面明显存在着冬春高、夏秋低的季节性差异,并受区域环境的影响较大.相关分析表明,珠海市单点源污染比例大的污染源分布格局以及典型的季风气候是造成如上污染特征的主要原因,此外珠海市的经济产业结构也存在着一定的影响.     

An Assessment on Variation of Sulphur Dioxide and Particulate Matter in Erzurum (Turkey)

Sulphur dioxide and PM₁₀ levels are investigated in Erzurum during the periods of 1990–2000 heating season to assess air pollution level. For that reason, emissions of sulphur dioxide and particulate matter were calculated by using consumption of fuels and Turkish emission factors. These emission values were evaluated together with air pollution levels, which were measured at six stations in Erzurum atmosphere during 1990–2000 winter periods. Results reveal that in 1990–1994 heating period, there is an increasing trend in the emissions and air pollution levels over Erzurum, and the air quality limits were not met. The daily 24 h limit (short-term limit) was exceeded 127 days in 1992–1993 winter period. The reason for this increase was found to be the switching to use of low-quality fossil fuels instead of cleaner ones. Results also indicated that there was a considerable decrease in emissions of air pollutants and air pollution levels after 1995. This can be explained by the consumption of more high-quality fossil fuels. The correlation coefficient of SO₂ with PM₁₀ is obtained as r² = 0.85, which is a high value supporting the idea that both pollutants are emitted from the same source.     

不同天气形势下杭州市空气污染特征个例分析

利用杭州市气象局观测资料、NCEP再分析资料和中尺度天气预报模式WRF的数值模拟结果,对杭州市2011—2012年春、夏、秋、冬4个季节各一天的污染天气进行分析;同时选取2012年夏季有利于污染物扩散的天气个例进行对比分析。结果表明,杭州市容易发生轻度污染的天气类型主要有4类:高压前部、高压底部、高压控制和高压后部;500 h Pa高空系统稳定,受西南气流影响,850 h Pa有暖平流,1 000 h Pa风速较小时,容易造成污染物的积累,发生空气污染现象。WRF模拟结果显示,当杭州市为偏北风且风速较小时,容易发生空气污染事件,当为偏南风且风速较大时,空气质量一般较好。温度层结分析发现,当近地层以及高空出现较为深厚的逆温层且低层温度层结呈现中性或者稳定时,不利于污染物的扩散,污染物容易在底层积累,出现近地层空气污染现象。     

城市空气污染分布不均匀特征分析

运用空气质量数据统计分析方法研究了广东省城市间空气污染的分布特征,同时以广州和佛山为例,根据主要工业污染源分布、常规监测站点监测数据及路边空气质量监测实验分析了城市内部空气污染分布特征。研究结果表明,城市间与城市内部的空气污染分布存在不均匀性,空气污染分布不均匀的特点使得少数监测站点的空气质量监测结果难以全面代表整个城市的空气质量。     

长沙市环境空气污染状况、原因分析和控制对策探讨

应用多年的环境监测数据,对长沙市环境空气污染状况、原因进行了较详细的分析和探讨.长沙市环境空气主要污染物是二氧化硫和尘类污染.并对上述两项污染物的控制提出了切实可行的方案.     

Air pollution forecasting in Ankara, Turkey using air pollution index and its relation to assimilative capacity of the atmosphere

A conditional time-averaged gradient (COTAG) system has been developed to provide direct long-term (weekly to monthly) average flux gradient measurements for a range of trace gases, between land and atmosphere. Over daily periods, atmospheric conditions can range from high stability, where the vertical gradients of ambient concentration are enhanced due to very small diffusivity, to highly unstable conditions, in which concentration gradients are small due to the intense turbulent activity of the surface layer. The large vertical gradients generated by high stability would bias the estimate of the actual flux: to avoid this, the COTAG system samples conditionally, within a carefully refined range of stability. A comparison with a continuous flux gradient system suggested that the removal of stable conditions from the sampling period does not substantially modify the evaluation of the long-term fluxes.     

空气污染对儿童肺功能指标影响的初步分析

报告中国 4城市 8所小学儿童肺功能指标受室外空气污染影响的结果。以 FVC/预测值 (85% )、FEV1 /预测值(85% )、FEV1 / FVC(实测值之比 ) (80 % )作为判断肺功能指标异常的参考标准 ,并将 8所小学按污染程度分为污染严重和污染较轻两类三组。污染严重组儿童肺功能指标的异常率均比污染较轻组要高。空气的严重污染 ,可使儿童肺功能FVC、FEV1 、FEV1 / FVC异常率的危险程度分别增高 3 0 %～ 78%、52 %～ 86%和 1 0 2 %～ 1 2 7%。异常组儿童的 FVC、FEV1 的平均值约下降 3 3 0～ 4 60 ml,FEV1 / FVC平均值约下降 1 3 %～ 1 5%。说明空气的严重污染对儿童肺功能生长发育可能有不利影响     

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.     

室外空气污染对成人呼吸系统健康影响的分析

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     

北京市大气污染动态变化的树木年轮分析

利用从香山、颐和园公园所取得的油松年轮中提取的年轮宽度和年轮木质部中化学元素含量变化的信息 ,主要分析了油松年轮中化学元素含量随时间变化的特点 ,结合北京市社会经济分析 ,揭示了元素含量变化的成因 ,并恢复了北京市近两百年大气污染的历史。     

兰州市空气污染对儿童肺功能影响的前瞻性研究

从不同的角度阐述了室内外空气污染对儿童肺功能 ,特别是小气道功能的影响及其影响程度的前瞻性研究结果。并通过多因素、多指标的综合分析 ,揭示了一些影响儿童肺功能的主要因素。指出了从保护人体健康的角度来说 ,好的环境空气质量和良好的室内空气质量同样重要     

空气中总悬浮颗粒物的X射线衍射定性分析研究

以天津市环境监测中心采集的空气中总悬浮颗粒物（ＴＳＰ）膜（９７１０１２号）为样品,使用日本理学Ｄ／ｍａｘＲＡＸ射线衍射仪对其进行化合物定性分析,并介绍样品的采集与制样方法、仪器测试条件。最后通过ＪＣＰＤＳＩＣＤＤ（国际粉末衍射数据中心）标准数据库检索出该样品所含的全部化合物     

Seasonal variation of some heavy metal pollution with environmental and microbiological parameters in sub-basin of Kocabas Stream (Biga, Canakkale, Turkey) by ICP-AES

Waste water pollution in industrial areas is one of the most important environmental problems. Heavy metal pollution, especially chromium species in waste water sources from tannery affects our lives. Kocabas Stream is located in south-west Marmara region and Biga town is positioned in the sub basin on the stream. This water source functions as the water for irrigation in agriculture, drinking water for animals and for human use. Thus, this study is of great importance. Waste water pollution can affect all ecosystems and human health by directly or indirectly as in food chain. The concentration of heavy metals (Pb, Cd, Cu, Zn and Cr) were pre-analysed by ICP-AES method in water samples taken from sub-basin of Kocabas stream. In the results of these analyses, concentrations of the metals except chromium were founded at the limit value. But the total concentration of the Cr was found at high levels of between 0.0082 +/- 0.0001 and 5.7231 +/- 0.0921 mg l(-1) over the limit value (0.05 mg l(-1); WHO, EPA, TSE 266 and inland water quality classification) at sampling points very close to tannery factories. Also physicochemical and microbiological parameters of Kocabas Stream were determined. The effects of the experimental results on environment were investigated.     

全国火电厂二氧化硫污染现状及其控制对策

火电行业飞速发展的同时引发了二氧化硫的大量排放。文章在总结全国火电厂二氧化硫排放现状的基础上提出,火电厂二氧化硫是全国二氧化硫排放大户,其排放量占全国工业二氧化硫排放量的42%,且有逐年递增的趋势,而其去除率却一直保持一个较低的水平;大型火电厂又是电厂中二氧化硫的排放大户,且主要集中在广东、江苏、河北、山东、河南等几个省,这几个省应成为火电厂二氧化硫排放的重点监控对象。文章最后提出了电厂减排二氧化硫的几点对策和建议。     

贵州某流域城市河段沉积物及悬浮物重金属污染研究

通过在丰水期对贵州省某流域城市河段悬浮物和沉积物中的重金属含量进行测定,运用单因子指数法、生态风险评价法、因子分析法,初步探讨了该河段Cu、Zn、Pb、Hg、Cd、Cr、Ni及As等8种重金属元素的含量分布、污染特征、潜在生态风险及主要来源。检测结果显示,沉积物和悬浮物中Hg、Cd、Zn、Pb、As的平均含量较高,是贵州省土壤背景值的1.02～16.97倍。单因子指数评价结果表明：在沉积物中,Zn、Pb、As为轻度污染,Hg和Cd为重度污染;在悬浮物中,Cu、Pb、As为轻度污染,Zn为中度污染,Hg和Cd为重度污染。潜在生态风险指数评价结果显示,Hg和Cd的生态风险最大,为主要污染元素。研究区沉积物样品综合生态风险指数(RI)介于183.27～1 393.96,平均值为912.06,总体处于严重生态风险等级;悬浮物样品RI值介于341.53～612.38,平均值为436.85,总体处于重度生态风险等级。其中,沉积物样品重金属平均生态风险等级高于悬浮物样品,支流样品重金属生态风险等级总体上低于干流下游样品。根据因子分析法分析结果,初步推测沉积物及悬浮物Hg、Cd、Cr、Ni含量主要受工...     

除湿机冷凝水中亚硝酸盐的浓度与大气环境质量的关系探讨

探讨了家用除湿机作为空气水溶性物质采集器的可行性。通过离子色谱仪对冷凝水离子成分的分析,并与空气总悬浮微粒(TSP)可溶性化学成分的对比,发现水汽中大部分阴阳离子的含量只比TSP低1个数量级。但TSP中一般检测不出亚硝酸根,而在水汽中则可检测出亚硝酸根离子,且水汽中亚硝酸根离子的浓度与取样位置的大气环境质量有关。