Sulfur Concentrations in Plant Foliage and Related Effects

Sulfur Is an essential element for plants and is normally taken up from soil In the sulfate form. S0₂ absorbed from the air also can supply S for plant nutrition. Plants are therefore dependent on an optimum S content, but deficiencies or excesses can result in deleterious effects. The Phytotoxicology Section has conducted numerous assessment surveys in rural, urban, or industrial locations in Ontario to determine the concentrations of S in plants and related effects. During the ten year period, 1968 to 1977, about 50,000 samples of vegetation and soil were collected and analyzed for S concentrations. The results of these analyses were examined with respect to natural background concentrations of S in foliage of 33 different species, and effects observed on plant life associated with excess concentrations of S. For example, in one situation 0.35% sulfur in foliage of trembling aspen trees was found to be the threshold level for injury to occur. Some of the industries surveyed for the degree and extent of S effects in their vicinity included pulp mills, power plants, iron concentrators, and gold, nickel, and copper smelters. In interpreting the results of S analyses in plant foliage for diagnostic purposes, consideration should be given also to the geographical location, the stage of growth of the plant, the relation of visible injuries to pollutant or biological causes, the S content of the soil, and S0₂ emission data for the area.     

Atmospheric Factors Influencing Daily Sulfate Concentrations in Chicago Air

Abstract

Confidence interval construction for central tendency is a problem of practical consequence for those who must analyze air contaminant data. Determination of compliance with relevant ambient air quality criteria and assessment of associated health risks depend upon quantifying the uncertainty of estimated mean pollutant concentrations. The bootstrap is a resampling technique that has been steadily gaining popularity and acceptance during the past several years. A potentially powerful application of the bootstrap is the construction of confidence intervals for any parameter of any underlying distribution. Properties of bootstrap confidence intervals were determined for samples generated from lognormal, gamma, and Weibull distributions. Bootstrap t intervals, while having smaller coverage errors than Student's t or other bootstrap methods, under-cover for small samples from skewed distributions. Therefore, we caution against using the bootstrap to construct confidence intervals for the mean without first considering the effects of sample size and skew. When sample sizes are small, one might consider using the median as an estimate of central tendency. Confidence intervals for the median are easy to construct and do not under-cover. Data collected by the Northeast States for Coordinated Air Use Management (NESCAUM) are used to illustrate application of the methods discussed.     

Summary of the Federal Emissions Trading Policy Statement

This paper is directed to those concerned with using emissions trading to achieve greater flexibility and reduce the costs of complying with air pollution emission standards.     

Modeling of Carbon Monoxide Hot Spots

This paper describes the results of a measurement and modeling study of carbon monoxide (CO) concentrations In the proximity of intersections. Analysis for model performance of paired observed and predicted CO concentrations are presented. Two methodologies of pollutant prediction were used: the Intersection Midblock Model (IMM) and a statistical multiple linear regression. The results showed that both methods underpredicted frequently and dispensed results that were site specific. In addition, correlations of IMM predicted concentrations to observed concentrations were poor (typically r² values <0.25). Various explanations for this observation are proposed. The statistical approach exhibited an improved accuracy over that of IMM. However, some of the independent variables used might be difficult to obtain as a routine measurement, and use of a one or two independent parameter model yielded adjusted R² values comparable to the r² values observed with IMM. Based on these results, an Intersection model applicable under a wide range of conditions of traffic, meteorology, and geometry is not available. Research Is needed to develop one, since its use would often be called on in the development of air quality sections of Environmental Assessments or Environmental Impact Statements.     

Formaldehyde Release from Simulated Wall Panels Insulated with Urea-Formaldehyde Foam Insulation

An important potential source of formaldehyde in the home is ureaformaldehyde foam insulation (UFFI). This study measures the long-term release of formaldehyde through the interior wall of test panels foamed with commercial urea-formaldehyde insulation. The measurements, made approximately 16 mo after initial foaming, were conducted under both static and dynamic air conditions with air flow selected to simulate a typical air exchange found in houses. Estimated room concentrations based on a simple model of uniform mixing within a room and measured emission rates are presented. Measurements of formaldehyde in the air from within the UFFI cavities are also reported.