A New Measurement Platform For Air Quality Monitoring

The first manned superpressure balloon has been developed to provide a means for accurately following a parcel of air, making physical and chemical measurements en route. The use of new high strength fabrics allows the construction of a balloon that contains its lifting gas (helium) under pressure, thereby providing long term flight stability unachieved by any other method. Three flights, each in excess of 30 hours duration, have already been achieved, demonstrating the ability of such vehicles to remain stably in a parcel of air without perturbing air chemistry in any way. Such a platform will allow the precise determination of air trajectories over many hundreds of miles. The use of trained observers on board will facilitate the collection of atmospheric data: ozone, NO_*, SO₂, temperature gradients, turbulence, and other.     

A Cost Model for Air Quality Monitoring Systems

A model was developed for remote terminal use to compare the costs of alternate designs of air quality monitoring networks with varying sophistication, ranging from totally manual to completely automated systems. Of special interest is the isolation of manual sample analysis and manual data analysis for comparison with instrumental sensors and automated data processing.

The model allows for 10 levels of sophistication, and 6 were used in sample runs. As many as 50 samplingsite locations, with three different site types, may be specified, and each site type may have any configuration of chemical and/or meteorological sensors. Amortization, labor rates, instrument costs and lifetimes, telephone line charges, and other variables are readily changed by the user as desired.

It was concluded that for systems with fewer than 20–25 sensors, fully automated systems may not be justified on cost alone, at least for producing the same data (hourly) as the manual or semiautomatic systems. (Much more than hourly data is obtained with the automated system, of course.) For larger systems, labor costs put the nonautomated systems at a disadvantage after a few years of operation.     

远程控制软件pcAnywhere在空气质量监测系统中的应用

介绍了一款应用于空气质量监测系统中的优秀远程控制软件pcAnywhere,并具体说明了配置pcAnywhere对实现空气质量监测子站的管理与技术维护.     

A Viable System of Biological Indicators For Monitoring Air Pollutants

An air pollution monitoring biological indicator (AMBI) system for ambient ozone was tested in the South Coast Air Basin of California during the 1972 fall growing season. The basic unit or AMBI station was an inexpensive, portable plant station which operated independent of power sources. Reliability of these units was excellent as only three instances of missing data were observed from 330 possibilities. A photo-reference system of ozone injury evaluation utilizing direct comparisons of injured leaves with reference photographs was successful in standardizing assessments of ozone injury. Average weekly injury indices for field locations were correlated with average weekly ozone dosages and were found to be significant at the .01 level.     

Mobile Air Quality Monitoring Systems: Present Problems and Future Needs

This overview represents much of the discussion and summarizes many of the concerns emerging from the recent APCA Specialty Conference, “In-Situ Air Quality Monitoring from Moving Platforms.”

Users of mobile air quality monitoring systems have been hampered in their attempts to generate dependable data because of a lack of suitable instrumentation. Most equipment used in mobile systems was designed for laboratory or stationary monitoring applications and cannot cope well with the harsh environment encountered in aircraft or other mobile platforms. Only through innovative modifications have investigators been able to utilize off-the-shelf equipment. The technology exists, however, for manufacturers to build a much higher quality product if only a market incentive could be created.

This paper outlines problem areas which need to be addressed in the production of reliable “mobile quality” instrumentation, and suggests some market incentives.     

A Study of Indoor Air Quality

As part of a larger program to investigate indoor sources of air pollution, an indoor/outdoor sampling program was carried out for NO, NO₂, and CO In four private houses which had gas stoves. The four houses chosen for study represented different surrounding land use, life styles, and house age and layout. The pollutant gases were measured essentially simultaneously at three indoor locations and one outdoor location. The results of the program showed that indoor levels of NO and NO₂ are directly related to stove use in the homes tested. Furthermore, these stoves often produced more NO₂ than NO. In some instances, the levels of NO₂ and CO in the kitchen exceeded the air quality standards for these pollutants if such outdoor standards were to be applied to indoors and the data for the sampling periods were typical of an entire year. A diffusion experiment conducted in one of the houses showed that the half-life for NO₂ was less than one-third that for either NO or CO. Oxidation of NO to NO₂ (based upon comparing the half-life of NO to CO) does not appear to occur to a significant degree indoors.     

Air Quality Monitoring During Construction and Initial Occupation of a New Building

Air quality monitoring was conducted during the late construction and early occupation stages of the College of DuPage Student Resource Center (SRC) addition from April 24,1995, to July 20,1995. Chemical contaminants monitored included combustibles; cleaning solvents; and human, furniture, and carpeting effluents. Carbon dioxide, carbon monoxide, ethanol, propane, 3-pentanone, methyl cyclohexane, methyl formate, tetrahydrofuran, methyl methacrylate, and cyclohexane were used as calibration standards for continuous infrared absorption measurements. Indoor water content, outdoor relative humidity, indoor and outdoor temperatures, and indoor airborne particulate matter were measured. After most construction and indoor painting and carpeting were completed, a two-week air-out was performed using a continuous supply of fresh air, without recirculated air. This resulted in a low "case study" level of contaminants. Contaminant levels increased significantly after furniture and people move-ins and student use. Contaminant level changes were observed during typical indoor construction days, before and after a power outage-caused loss of ventilation, and in the presence of carpentry machines. A "naive" sensory panel contributed its "perception" of air quality, and anair quality survey was conducted among new building employees. No significant or consistent effects of indoor contaminants or indoor temperature upon indoor perception were noted. An inverse relationship between indoor air quality perceptions and the outdoor Temperature-Humidity Index was found.     

Using Continuous PM2.5 Monitoring Data to Report an Air Quality Index

Abstract

As stated in 40 CFR 58, Appendix G (2000), statistical linear regression models can be applied to relate PM_2.5 continuous monitoring (CM) measurements with federal reference method (FRM) measurements, collocated or otherwise, for the purpose of reporting the air quality index (AQI). The CM measurements can then be transformed via the model to remove any bias relative to FRM measurements. The resulting FRM-like modeled measurements may be used to provide more timely reporting of a metropolitan statistical area’s (MSA’s) AQI.¹ Of considerable importance is the quality of the model used to relate the CM and FRM measurements. The use of a poor model could result in misleading AQI reporting in the form of incorrectly claiming either good or bad air quality.

This paper describes a measure of adequacy for deciding whether a statistical linear regression model that relates FRM and continuous PM_2.5 measurements is sufficient for use in AQI reporting. The approach is the U.S. Environmental Protection Agency’s (EPA’s) data quality objectives (DQO) process, a seven-step strategic planning approach to determine the most appropriate data type, quality, quantity, and synthesis for a given activity.² The chosen measure of model adequacy is r², the square of the correlation coefficient between FRM measurements and their modeled counterparts. The paper concludes by developing regression models that meet this desired level of adequacy for the MSAs of Greensboro/Winston-Salem/High Point, NC; and Davenport/Moline/Rock Island, IA/IL. In both cases, a log transformation of the data appeared most appropriate. For the data from the Greens-boro/Winston-Salem/High Point MSA, a simple linear regression model of the FRM and CM measurements had an r² of 0.96, based on 227 paired observations. For the data from the Davenport/Moline/Rock Island MSA, due to seasonal differences between CM and FRM measurements, the simple linear regression model had to be expanded to include a temperature dependency, resulting in an r² of 0.86, based on 214 paired observations.     

Air Monitoring Reflects Air Pollution Control Activity

Air monitoring by the A.I.S.I. filter sampling device which both preceded and was concurrent with source control of particulates demonstrated air quality improvement over a ten-year period. A difference in improvement from that estimated by the pollution control agency resulted from difference in the measurement parameters.     

A Quantitative Approach to the Traffic Air Quality Problem: The Traffic Air Quality Index

Abstract

The Traffic Air Quality (TAQ) model is a simple tool to estimate traffic fine particulate emissions on roadways (g/km) and can be used for both real-time analysis and for localized conformity analysis (“hot-spot” analysis for nonattainment areas) as defined by 40 CFR 93.123. This paper is a follow-up to a study published earlier regarding the development of the TAQ model. This paper shows how local air quality levels can be a factor in traffic management in nonattainment areas. Similar to the industrial source quotas measured in tons per year, it is proposed that road segments are to be assigned emission quotas (or TAQ indices) measured in pollutant mass emitted per road length (g/km) above which traffic-measures have to be taken to reduce the fine-particulates emissions on such road links. The TAQ model as well as traffic-rerouting measures along with the Intelligent Transportation System (ITS) protocols can be used to have a real-time control of the traffic conditions along expressways to maintain the fine-particulates emissions below the quota assigned per road link and consequently improving the over all local air quality in nonattainment areas.     

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.     

Asbestos: Rationale Behind A Proposed Air Quality Standard

A computerized simulation model has been developed to compute energy requirements of a limestone slurry flue gas desulfurization (FGD) system as a function of FGD system design parameters, power plant characteristics, coal properties, and sulfur dioxide emission regulation. Results are illustrated for a "base case" plant of 500 MW, burning 3.5% sulfur coal, meeting the federal new source performance standard of 1.2 lb SO₂/10⁶ Btu. The flue gas is cleaned by an electrostatic precipitator followed by a limestone FGD system with a TCA scrubbing vessel and an optimized in-line steam reheater. The total FGD system energy requirement for this case was found to be 3.4% of the total energy input to the boiler. Sensitivity analyses were then performed in which the nominal values of ten system parameters were individually varied. This caused the total FGD system energy requirement to vary between 2.5 % and 6.1 % of the gross plant output for the range of parameters tested. The most sensitive parameters were found to be scrubbing slurry pH, which affects pumping requirements, and stack gas exit temperature, which affects reheat requirements. In all cases, FGD energy requirements were minimized when the SO₂ emission standard was met by partially bypassing the scrubber. In light of the recent Clean Air Act Amendments this option may not be feasible in the future.     

Ozone Air Quality Models

Abstract

The field of ozone air quality modeling, or as it is commonly referred to, photochemical air quality modeling, has undergone rapid change in recent years. Improvements in model components, as well as in methods of interpreting model performance, have contributed to this change. Attendant with this rapid change has been a growing need for those developing and using air quality models and policy makers to have a common understanding of the use and role of models in the decision making process. This Critical Review highlights recent advances and continuing problem areas in photochemical air quality modeling. Emphasis is placed on the components and input data for such models, model performance evaluation, and the implications for their use in regulatory decisions.     

空气自动监测站的防雷措施

介绍了雷电对空气自动监测站是如何造成危害的，阐述了雷电侵入空气自动监测站的途径及防止雷击的办法。     

Ambient Air Monitoring for Sulfur Compounds

The role of sulfur compounds in our environment has been the subject of much speculation during the past two decades. An evaluation of the effect of man-made contributions to the biogeochemical sulfur cycle requires a comprehensive examination of source magnitudes, atmospheric concentrations and removal processes. Many voids exist in our present knowledge of these parameters despite the contributions of numerous researchers. Adequate information is needed concerning the various forms of sulfur as well as other critical constituents which exist in our biosphere so that their interrelationship and role in the mechanisms of the sulfur cycle may be more fully understood.     

Arizona Hazardous Air Pollutants Monitoring Program

ABSTRACT

In order to evaluate the existing risk to public health in Arizona related to hazardous air pollution, ambient air monitoring for selected hazardous air pollutants (HAPs) was carried out in 1994-1996 in several representative urban and rural areas of Arizona. A wide range of organic HAPs was monitored, requiring a variety of sampling and analysis methods. Stainless steel SUMMA canisters were used for collection of volatile hydrocarbons and halocarbons, which were analyzed by capillary gas chromatography with flame ionization and electron capture detection (GC-FID/ECD). Carbonyl compounds were collected using 2,4-dinitrophenylhydrazine-impregnated cartridges and analyzed by high performance liquid chromatog-raphy with ultraviolet detection. Semi-volatile and non-volatile polycyclic aromatic compounds were collected using a sampling train consisting of a filter followed by a PUF/XAD-4/PUF sandwich cartridge. Following extraction, samples were analyzed by capillary GC with mass spectrometric detection (GC-MS). Database software was developed for data processing and reporting functions. This paper describes the sampling strategy and the sampling and analysis methods employed in the monitoring program and presents a summary of all the results obtained during the duration of the sampling program.     

A Modular Approach to A Microcomputer Monitoring System

Abstract

Under a cooperative agreement with the U.S. Environmental Protection Agency's (USEPA) Superfund Innovative Technology Evaluation (SITE) Emerging Technology Program, COGNIS, Inc. conducted bench-scale studies on the COGNIS TERRAMET® Lead Extraction Process. The process leaches, or extracts, lead from contaminated soil and consists of a lead leaching stage followed by recovery of the dissolved lead from the leachant. Prior to treatment, the soil is characterized, the type and extent of lead contamination is identified, and the soil is pretreated by physical separation methods to facilitate the extraction process. The physical pretreatment, for example, may include particle size separation to allow separate leaching of the sand and fines fractions and removal of larger lead particles by density separation techniques. As part of the SITE Program, COGNIS investigated seven different lead-contaminated soil samples in small bench-scale batch studies and three soils in larger bench-scale continuous-treatment studies. This bench-scale work led to the design, construction, and operation of a full-scale treatment plant by COGNIS at the Twin Cities Army Ammunition Plant (TCAAP), New Brighton, MN where lead and seven other heavy metals were extracted and recovered from over 20,000 tons of treated soil to meet cleanup criteria.     

Performance and diagnostic evaluation of ozone predictions by the Eta-Community Multiscale Air Quality Forecast System during the 2002 New England Air Quality Study

A real-time air quality forecasting system (Eta-Community Multiscale Air Quality [CMAQ] model suite) has been developed by linking the National Centers for Environmental Estimation Eta model to the U.S. Environmental Protection Agency (EPA) CMAQ model. This work presents results from the application of the Eta-CMAQ modeling system for forecasting ozone (O3) over the Northeastern United States during the 2002 New England Air Quality Study (NEAQS). Spatial and temporal performance of the Eta-CMAQ model for O3 was evaluated by comparison with observations from the EPA Air Quality System (AQS) network. This study also examines the ability of the model to simulate the processes governing the distributions of tropospheric O3 on the basis of the intensive datasets obtained at the four Atmospheric Investigation, Regional Modeling, Analysis, and Estimation (AIRMAP) and Harvard Forest (HF) surface sites. The episode analysis reveals that the model captured the buildup of O3 concentrations over the northeastern domain from August 11 and reproduced the spatial distributions of observed O3 very well for the daytime (8:00 p.m.) of both August 8 and 12 with most of normalized mean bias (NMB) within +/- 20%. The model reproduced 53.3% of the observed hourly O3 within a factor of 1.5 with NMB of 29.7% and normalized mean error of 46.9% at the 342 AQS sites. The comparison of modeled and observed lidar O3 vertical profiles shows that whereas the model reproduced the observed vertical structure, it tended to overestimate at higher altitude. The model reproduced 64-77% of observed NO2 photolysis rate values within a factor of 1.5 at the AIRMAP sites. At the HF site, comparison of modeled and observed O3/nitrogen oxide (NOx) ratios suggests that the site is mainly under strongly NOx-sensitive conditions (>53%). It was found that the modeled lower limits of the O3 production efficiency values (inferred from O3-CO correlation) are close to the observations.