环境空气自动监测数据审核中异常数据判断和处理

以上海嘉定区环境空气自动监测数据为依据,利用中美合作-上海市环境空气质量发布系统示范项目(AIRNOW-International)提供的DMS数据自动审核模块,结合市区两级人工审核系统,对数据有效性审核中的异常数据情形进行归类和总结。以实例的方式介绍了环境空气常规六参数常见的异常数据情形,并提出应对异常数据的审核程序和办法。     

垃圾焚烧厂对环境空气中二噁英影响研究

本文通过对垃圾焚烧炉废气和周边环境空气采样,采用同位素稀释-高分辨气相色谱/高分辨质谱(HRGC-HRMS)法分析样品中二噁英浓度。废气样品中二噁英总浓度为0.919~1.152 ng TEQ/m^3,总毒性当量为0.071~0.100 ng TEQ/m^3,环境空气样品中二噁英总浓度为1.194~2.268 pg TEQ/m^3,总毒性当量为0.100~0.200 pg TEQ /m^3。比较废气与环境空气中各PCDD/Fs单体浓度的占比,得出该农村区域范围内环境空气中二噁英污染物主要来源于该垃圾焚烧炉。     

Cost-Effective Control of Ground-Level Ozone Pollution in and around Beijing

Ground level ozone pollution has become a significant air pollution problem in Beijing. Because of the complex way in which ozone is formed, it is difficult for policy makers to identify optimal control options on a cost-effective basis. This paper identi-fies and assesses a range of options for addressing this problem. We apply the Ambient Least Cost Model and compare the eco-nomic costs of control options, then recommend the most effective sequence to realize pollution control at the lowest cost. The study finds that installing of Stage II gasoline vapor recovery system at Beijing’s 1446 gasoline stations would be the most cost-effective option. Overall, options to reduce ozone pollution by cutting ve-hicular emissions are much more cost-effective than options to "clean up" coal-fired power plants.     

环境空气有组织排放H_2S和CS_2污染源的排查

采用调查和多种检测方法对有组织排放的空气恶臭的物质进行定性分析和定量监测,以证实和确认污染源。在走访受害居民和工业污染源调查的基础上,使用三点比较式嗅袋法、分光光度法、主动式吸附管热解析/GC/MS和不锈钢采样罐/GC/MS法检测空气恶臭的物质的种类和含量,并且通过自动监测仪器长期定点观测污染发生时和消除污染源后空气恶臭的物质含量的变化。结果表明,导致空气恶臭的物质为H2S和CS2,其中CS2为污染源的特征物质,相同时间和地点空气中H2S和CS2的质量浓度相关系数为0.84;污染源下风向空气中H2S含量高,年平均值为0.084mg/m3;不在下风向的空气H2S含量低;清除污染源后其下风向空气中H2S年平均值为0.008 mg/m3,空气不再恶臭。该排查方法为监控有组织排放恶臭的污染源提供了经验和实例。     

福州市环境空气质量预报误差分析

介绍了福州市环境空气质量预报系统，分析了预报产生误差的原因，指出SO2、NOx预报误差相对较小，TSP预报误差相对较大，误差主要由局地污染源的不确定和特殊天气情况造成，具此提出了提高预报准确性的改进方法和措施。     

Ambient monitoring of asbestos in selected Italian living areas

This paper presents the results of an intensive monitoring activity of the particulate, fall-out and soil of selected living areas in Italy with the aim to detect the asbestos concentration in air and subsequent risk of exposure for the population in ambient living environments, and to assess the nature of the other mineral phases composing the particulate matrix. Some areas were sorted out because of the presence of asbestos containing materials on site whereas others were used as blank spots in the attempt to detect the background environmental concentration of asbestos in air. Because the concentration of asbestos in ambient environments is presumably very low, and it is well known that conventional low–medium flow sampling systems with filters of small diameter (25 mm) may collect only a very small fraction of particulate over a short period, for the first time here, an intense monitoring activity was conducted with a high flow sampling system. The high flow system requires the use of large cellulose filters with the advantage that, increasing the amount of collected dust, the probability to collect asbestos fibers increases. Both the protocol of monitoring and analysis are novel and prompted by the need to increase the sensitivity towards the small number of expected fibers. With this goal, the collection of fall-out samples (the particulate falling into a collector filled with distilled water during the monitoring shift) and soil samples was also accomplished. The analytical protocol of the matrix particulate included preliminary X-ray powder diffraction (XRPD), optical microscopy and quantitative electron microscopy (SEM and TEM). Correlations with climatic trends and PM10 concentration data were also attempted.The surprising outcome of this work is that, despite the nature of the investigated site, the amount of dispersed asbestos fibers is very low and invariably lower than the theoretical method detection limits of the SEM and TEM techniques for identification and counting of asbestos fibers. The results are compared to the literature data worldwide and an updated model for asbestos fibers dispersion in ambient environments is proposed.     

Sources of PM10 and PM2.5 in Cairo’s ambient air

A source attribution study was performed to assess the contributions of specific pollutant source types to the observed particulate matter (PM) levels in the greater Cairo Area using the chemical mass balance (CMB) receptor model. Three intensive ambient monitoring studies were carried out during the period of February 21–March 3, 1999, October 27–November 27, 1999, and June 8–June 26, 2002. PM₁₀, PM_2.5, and polycyclic aromatic hydrocarbons (PAHs) were measured on a 24-h basis at six sampling stations during each of the intensive periods. The six intensive measurement sites represented background levels, mobile source impacts, industrial impacts, and residential exposure. Major contributors to PM₁₀ included geological material, mobile source emissions, and open burning. PM_2.5 tended to be dominated by mobile source emissions, open burning, and secondary species. This paper presents the results of the PM₁₀ and PM_2.5, source contribution estimates.