两种空气自动监测系统的比较

国产长光程空气自动监测系统是中国自行研制的更为先进、更具自动化的系统，24h点式仪器是老式空气检测仪器，对这两种新、老仪器的比较可以看出在运行过程中的利弊。     

随身自动空气净化处理器的研究

随身自动空气净化器，采用了活性炭、光催化技术相结合的空气过滤装置。空气污染传感器与单片机组成空气质量监测电路，当空气污染超标时，产生语音提示，液晶屏显示空气质量的等级，自动（或手动）控制引风机工作，供给个人清新无污染的空气。     

环境空气流动监测车的改造与应用

空气流动监测技术,是近年来快速发展的自动监测技术之一,在自动监测领域应用广泛。文中通过实例,介绍了南京市空气流动监测车在监测服务中的应用。     

苏州市区环境空气质量自动监测点位调整设想

介绍了苏州市区空气质量自动监测系统现状,自市区建城区面积扩大后,依据环境空气例行监测数据和中意环保合作示范项目之“苏州空气质量监测系统”数据,提出了苏州市区空气质量自动监测点位调整的设想和调整方案。     

空气自动站存在的问题及解决办法

空气自动站是一套以在线自动分析仪器为核心,运用现代传感技术、自动测量技术、自动控制技术、计算机应用技术以及相关的专用分析软件和通信网络组成的综合性的在线自动监测体系。但是,由于大气自动监测站纯粹是靠自动监测仪器的24 h不间断的运行,经分析得出数据,所以如何保证自动监测仪器的正常运行,已成了大气自动站的日常工作中的重点。现以金湖县大气自动站在运行中出现的一些问题为例,在查阅资料,结合实际情况,得出一些导致大气自动站运行不正常的原因及解决的方法。     

烟气黑度多媒体联网监测系统

系统实现了64个预置点的烟气排放林格曼指数自动监测功能，系统可以工作在手动模式和自动扫描模式。每一个预置点都有3个参考区域，通过扣除背景有效地降低了误报概率，对于超标数据采取本地数据库和远程数据库同时存储的方法，远程数据库提供了基于局域网上的分级查询和统计，超标图像存储采用JPEG图像格式和自定义的无损压缩格式。     

Seres2000型高锰酸盐指数仪器监测数据质量分析

水质自动站测定的高锰酸盐指数（CODMn）数据与实验室标准方法测定结果常常产生较大的偏差。作者旨在通过自动仪器与实验室标准方法的比对测试，查找自动监测结果的偏差原因，同时分析和探讨如何保障仪器的正常运行，保持自动仪器监测的数据质量，达到与实验室标准监测结果的统一。     

随身自动空气净化处理器的研究

随身自动空气净化器,采用了活性炭、光催化技术相结合的空气过滤装置.空气污染传感器与单片机组成空气质量监测电路,当空气污染超标时,产生语音提示,液晶屏显示空气质量的等级,自动(或手动)控制引风机工作,供给个人清新无污染的空气.     

环境自动监测技术综述

环境自动监测包括大气自动监测、水质自动监测、噪声自动监测等。环境自动监测技术从技术结构上包括了自动控制技术、传感器技术、模拟与数字信号转换技术、信息编码与传输、数据库管理、信息平台发布六个部分。文中从环境自动监测的内容组成、环境自动监测技术系统构成、性能特点等方面,对国内的环境自动监测技术进行了探讨,提出了在自动监测系统建设中须注意的一些问题。     

空气自动站气路系统常见的故障及排除方法

以API空气自动监测站为例,介绍了该仪器在使用以及保养过程中,气路系统中常见的故障,分析了故障产生的原因,并提出排除的方法。     

Field Experience with the Mast Ozone Recorder

The practical necessity for continuous air monitoring by an instrument network is explained. Network criteria are listed. A coulometric monitoring system for oxidantis described and evaluated. Operating methods, calibration techniques, costs, and comparative field data are given. The authors conclude the coulometric system is feasible for operation on a widespread basis. Attractive features include: portability; remote recording; easy installation; centralized, coincident calibration of several monitors; linear data output; data consistent with other systems; and a potential for mobile use in horizontal and vertical surveys of the atmosphere.     

Applications of GPS-tracked personal and fixed-location PM2.5 continuous exposure monitoring

Continued development of personal air pollution monitors is rapidly improving government and research capabilities for data collection. In this study, we tested the feasibility of using GPS-enabled personal exposure monitors to collect personal exposure readings and short-term daily PM_2.5 measures at 15 fixed locations throughout a community. The goals were to determine the accuracy of fixed-location monitoring for approximating individual exposures compared to a centralized outdoor air pollution monitor, and to test the utility of two different personal monitors, the RTI MicroPEM V3.2 and TSI SidePak AM510. For personal samples, 24-hr mean PM_2.5 concentrations were 6.93 μg/m³ (stderr = 0.15) and 8.47 μg/m³ (stderr = 0.10) for the MicroPEM and SidePak, respectively. Based on time–activity patterns from participant journals, exposures were highest while participants were outdoors (MicroPEM = 7.61 µg/m³, stderr = 1.08, SidePak = 11.85 µg/m³, stderr = 0.83) or in restaurants (MicroPEM = 7.48 µg/m³, stderr = 0.39, SidePak = 24.93 µg/m³, stderr = 0.82), and lowest when participants were exercising indoors (MicroPEM = 4.78 µg/m³, stderr = 0.23, SidePak = 5.63 µg/m³, stderr = 0.08). Mean PM_2.5 at the 15 fixed locations, as measured by the SidePak, ranged from 4.71 µg/m³ (stderr = 0.23) to 12.38 µg/m³ (stderr = 0.45). By comparison, mean 24-h PM_2.5 measured at the centralized outdoor monitor ranged from 2.7 to 6.7 µg/m³ during the study period. The range of average PM_2.5 exposure levels estimated for each participant using the interpolated fixed-location data was 2.83 to 19.26 µg/m³ (mean = 8.3, stderr = 1.4). These estimated levels were compared with average exposure from personal samples. The fixed-location monitoring strategy was useful in identifying high air pollution microclimates throughout the county. For 7 of 10 subjects, the fixed-location monitoring strategy more closely approximated individuals’ 24-hr breathing zone exposures than did the centralized outdoor monitor. Highlights are: Individual PM_2.5 exposure levels vary extensively by activity, location and time of day; fixed-location sampling more closely approximated individual exposures than a centralized outdoor monitor; and small, personal exposure monitors provide added utility for individuals, researchers, and public health professionals seeking to more accurately identify air pollution microclimates.

Implications: Personal air pollution monitoring technology is advancing rapidly. Currently, personal monitors are primarily used in research settings, but could they also support government networks of centralized outdoor monitors? In this study, we found differences in performance and practicality for two personal monitors in different monitoring scenarios. We also found that personal monitors used to collect outdoor area samples were effective at finding pollution microclimates, and more closely approximated actual individual exposure than a central monitor. Though more research is needed, there is strong potential that personal exposure monitors can improve existing monitoring networks.     

Development and field validation of a community-engaged particulate matter air quality monitoring network in Imperial,California, USA

The Imperial County Community Air Monitoring Network was developed as part of a community-engaged research study to provide real-time particulate matter (PM) air quality information at a high spatial resolution in Imperial County, California. The network augmented the few existing regulatory monitors and increased monitoring near susceptible populations. Monitors were both calibrated and field validated, a key component of evaluating the quality of the data produced by the community monitoring network. This paper examines the performance of a customized version of the low-cost Dylos optical particle counter used in the community air monitors compared with both PM_2.5 and PM₁₀ (particulate matter with aerodynamic diameters <2.5 and <10 μm, respectively) federal equivalent method (FEM) beta-attenuation monitors (BAMs) and federal reference method (FRM) gravimetric filters at a collocation site in the study area. A conversion equation was developed that estimates particle mass concentrations from the native Dylos particle counts, taking into account relative humidity. The R² for converted hourly averaged Dylos mass measurements versus a PM_2.5 BAM was 0.79 and that versus a PM₁₀ BAM was 0.78. The performance of the conversion equation was evaluated at six other sites with collocated PM_2.5 environmental beta-attenuation monitors (EBAMs) located throughout Imperial County. The agreement of the Dylos with the EBAMs was moderate to high (R² = 0.35–0.81).

Implications: The performance of low-cost air quality sensors in community networks is currently not well documented. This paper provides a methodology for quantifying the performance of a next-generation Dylos PM sensor used in the Imperial County Community Air Monitoring Network. This air quality network provides data at a much finer spatial and temporal resolution than has previously been possible with government monitoring efforts. Once calibrated and validated, these high-resolution data may provide more information on susceptible populations, assist in the identification of air pollution hotspots, and increase community awareness of air pollution.     

Lagrangian sampling of 3-D air quality model results for regional transport contributions to sulfate aerosol concentrations at Baltimore,MD, in summer 2004

We use ensemble-mean Lagrangian sampling of a 3-D Eulerian air quality model, CMAQ, together with ground-based ambient monitors data from several air monitoring networks and satellite (MODIS) observations to provide source apportionment and regional transport vs. local contributions to sulfate aerosol and PM_2.5 concentrations at Baltimore, MD, for summer 2004. The Lagrangian method provides estimates of the chemical and physical evolution of air arriving in the daytime boundary layer at Baltimore. Study results indicate a dominant role for regional transport contributions on those days when sulfate air pollution is highest in Baltimore, with a principal transport pathway from the Ohio River Valley (ORV) through southern Pennsylvania and Maryland, consistent with earlier studies. Thus, reductions in sulfur emissions from the ORV under the EPA's Clean Air Interstate Rule may be expected to improve particulate air quality in Baltimore during summer. The Lagrangian sampling of CMAQ offers an inexpensive and complimentary approach to traditional methods of source apportionment based on multivariate observational data analysis, and air quality model emissions separation. This study serves as a prototype for the method applied to Baltimore. EPA is establishing a system to allow air quality planners to readily produce and access equivalent results for locations of their choice.     

Some Basic Consideration in the Design of an Air Pollution Monitoring System

Quantified air quality and meteorological information provided by an air pollution monitoring system must be geared to the legally prescribed functions of the control agency. The network must be treated as a vital component of the total integrated data system that supports agency activities in air resources management and control. It should be closely interphased with data systems for emission inventory, registration and permits, violations and complaints, fuel use, emission reduction plans, land use, demographic projections, and urban planning. Compatibility with neighboring and statewide or regionwide data systems is essential for coordination of effort, especially under episode conditions.

The network should be planned on three levels, static, semi-automatic, and fully automatic, to provide monthly, daily, and up-to-the-minute measurements, respectively. Optimization of network specifications requires a three-way balance of hardware, control objectives, and agency resources (capital facilities, manpower, funding, etc.), of which the first two are realistically governed by the third.

A monitoring network could serve a wide range of functions, and there are pressures and temptations to cater to all possible users. A number of functions are listed; an order of priority should be determined. Experience shows that far more data tend to be generated than can be analyzed, assimilated, and utilized. Rapid data acquisition and on-line processing capabilities of present-day automatic networks could, without effective planning, result in mountainous backlogs of unassimilated information.

A systems engineering approach to planning will ascertain that preliminary requirements are critically scrutinized, and only genuine requirements that meet the test of constraints (natural environment, economic, legal, social, political constraints, and manpower resources) will be translated into performance specifications. By means of this approach, design characteristics that are extraneous or peripheral to the principal network functions can be identified as low priority luxuries, whereas seemingly expensive items may be justified on the basis of data reliability or long-range savings in operation and maintenance requirements.     

Personal exposures of preschool children to carbon monoxide: Roles of ambient air quality and gas stoves

Personal 1 h mean CO exposures of preschool children in two day care centers (Töölö and Vallila) in Helsinki were measured with continuously recording personal exposure monitors. In Vallila, the median CO exposure of children from homes with gas stoves was 2.0 mg m⁻³, and with electric stoves, 0.9 mg m⁻³. In Töölö, the corresponding values were 1.9 and 1.0 mg m⁻³, respectively. The national ambient air quality guidelines for CO in Finland were exceeded in a few percent of the exposure measurements. The results were compared to fixed-site ambient air monitoring data and related to the presence of town-gas fired stoves in the children's homes. The results show that fixed-site ambient air monitors are of little value in predicting personal exposures of children or even their relative differences between areas. They also show that town-gas fired stoves may have a profound effect on the CO exposures of the children.     

盐城市区环境空气污染原因分析及对策建议

通过对盐城市区建成空气自动监测站来的数据分析,简要说明了盐城市区环境空气质量下降的原因,并提出了改善城市大气污染的建议措施。     

Passive sampling of ambient, gaseous air pollutants: an assessment from an ecological perspective

During some past two decades there has been a growing interest among air pollution-vegetation effects-scientists to use passive sampling systems for quantifying ambient, gaseous air pollutant concentrations, particularly in remote and wilderness areas. On the positive side, excluding the laboratory analysis costs, passive samplers are inexpensive, easy to use and do not require electricity to operate. Therefore, they are very attractive for use in regional-scale air quality assessments. Passive samplers allow the quantification of cumulative air pollutant exposures, as total or average pollutant concentrations over a sampling duration. Such systems function either by chemical absorption or by physical adsorption of the gaseous pollutant of interest onto the sampling medium. Selection of a passive sampler must be based on its known or tested characteristics of specificity and linearity of response to the chemical constituent being collected. In addition, the effects of wind velocity, radiation, temperature and relative humidity must be addressed in the context of absorbent/adsorbent performance and sampling rate. Because of all these considerations, passive samplers may provide under- or overestimations of the cumulative exposures, compared to the corresponding data from co-located continuous monitors or active samplers, although such statistical variance can be minimized by taking necessary precautions. On the negative side, cumulative exposures cannot identify short-term (相似文献   

Detecting improvement in ambient air toxics: An application to ambient benzene measurements in Houston,Texas

Traditional regulatory methods for evaluating air toxics have several limitations. Two common methods rely either on self-reported industrial emissions from the Toxics Release Inventory or a single summary statistic such as the average or arithmetic mean. A novel statistical approach for detecting overall long term improvement in ambient air quality is demonstrated using measurements of the air toxic benzene evaluated over five years in Houston, Texas. Through trends of seven key statistical measures, long term improvements were detected at more monitors than would have been found using traditional methods while lack of improvement is highlighted at other monitors. This new approach includes analysis of high and low end concentrations, as well as central tendency, evaluated at specific air toxic human health risk thresholds.     

A Continuous Quantitative Detection Method for Total Mercaptans,Organic Sulphides,H2S,and CS2 for Odouriferous Emissions

A monitoring system enabling detection and determination of the nature of odour nuisance caused by industrial emissions of volatile organic sulphur compounds is presented. The system consists of two continuous, highly sensitive detectors for sulphur compounds at the ppb-level. One of the detectors is equipped with a SO_x-scrubber and measures the total amount of non-S0₂ sulphur compounds. By the use of a newly developed scrubber retaining S0₂, H₂S and CS₂ the second detector monitors the presence of odorous mercaptans and organic sulphides in ambient air. Both these continuous detection signals are fed to a data processor which triggers air collection for the determination of the individual compounds by gas chromatographic analysis in the laboratory. The concept and operation, as well as the practical possibilities and applications of the system are explained