Evolution of vehicle exhaust particles in the atmosphere

Aerosol mass spectrometer (AMS) measurements are used to characterize the evolution of exhaust particulate matter (PM) properties near and downwind of vehicle sources. The AMS provides time-resolved chemically speciated mass loadings and mass-weighted size distributions of nonrefractory PM smaller than 1 microm (NRPM1). Source measurements of aircraft PM show that black carbon particles inhibit nucleation by serving as condensation sinks for the volatile and semi-volatile exhaust gases. Real-world source measurements of ground vehicle PM are obtained by deploying an AMS aboard a mobile laboratory. Characteristic features of the exhaust PM chemical composition and size distribution are discussed. PM mass and number concentrations are used with above-background gas-phase carbon dioxide (CO2) concentrations to calculate on-road emission factors for individual vehicles. Highly variable ratios between particle number and mass concentrations are observed for individual vehicles. NRPM1 mass emission factors measured for on-road diesel vehicles are approximately 50% lower than those from dynamometer studies. Factor analysis of AMS data (FA-AMS) is applied for the first time to map variations in exhaust PM mass downwind of a highway. In this study, above-background vehicle PM concentrations are highest close to the highway and decrease by a factor of 2 by 200 m away from the highway. Comparison with the gas-phase CO2 concentrations indicates that these vehicle PM mass gradients are largely driven by dilution. Secondary aerosol species do not show a similar gradient in absolute mass concentrations; thus, their relative contribution to total ambient PM mass concentrations increases as a function of distance from the highway. FA-AMS of single particle and ensemble data at an urban receptor site shows that condensation of these secondary aerosol species onto vehicle exhaust particles results in spatial and temporal evolution of the size and composition of vehicle exhaust PM on urban and regional scales.     

Traffic and meteorological impacts on near-road air quality: summary of methods and trends from the Raleigh Near-Road Study

A growing number of epidemiological studies conducted worldwide suggest an increase in the occurrence of adverse health effects in populations living, working, or going to school near major roadways. A study was designed to assess traffic emissions impacts on air quality and particle toxicity near a heavily traveled highway. In an attempt to describe the complex mixture of pollutants and atmospheric transport mechanisms affecting pollutant dispersion in this near-highway environment, several real-time and time-integrated sampling devices measured air quality concentrations at multiple distances and heights from the road. Pollutants analyzed included U.S. Environmental Protection Agency (EPA)-regulated gases, particulate matter (coarse, fine, and ultrafine), and air toxics. Pollutant measurements were synchronized with real-time traffic and meteorological monitoring devices to provide continuous and integrated assessments of the variation of near-road air pollutant concentrations and particle toxicity with changing traffic and environmental conditions, as well as distance from the road. Measurement results demonstrated the temporal and spatial impact of traffic emissions on near-road air quality. The distribution of mobile source emitted gas and particulate pollutants under all wind and traffic conditions indicated a higher proportion of elevated concentrations near the road, suggesting elevated exposures for populations spending significant amounts of time in this microenvironment. Diurnal variations in pollutant concentrations also demonstrated the impact of traffic activity and meteorology on near-road air quality. Time-resolved measurements of multiple pollutants demonstrated that traffic emissions produced a complex mixture of criteria and air toxic pollutants in this microenvironment. These results provide a foundation for future assessments of these data to identify the relationship of traffic activity and meteorology on air quality concentrations and population exposures.     

A computer simulation study of stochastic models to investigate the population dynamics of the screech owl (otus asio) under increased mortality

The work reported in this paper complements an earlier study in which deterministic models were used examine the effects of additional mortality imposed on a Screech Owl, Otus asio, population. Interest lay in the compensatory mechanisms that the owls might be able to adopt in their population dynamics to counteract the overall effect of the additional mortality imposed, in particular when only a part of the population is affected. Stochastic models are used here to address the same questions, and to give more detailed information about the likely behaviour of the owl population than the information an average sizes provided by the deterministic approach.     

Locomotory activity and behaviour of the Antarctic teleostNotothenia coriiceps

The activity and behaviour of a free-living Antarctic fish,Notothenia coriiceps Richardson (formerlyN. neglecta), was investigated using a high-sensitivity, underwater TV camera at Signy Island, South Orkney Islands. Detailed observations of the 33 cm TL (total length) fish were made over a period of 6 d in austral summer (February 1992), for a total 69.5 h. Natural light at 2.5 m depth allowed viewing from 1 h before sunrise to 1 h after sunset. The fish stayed in a territory within 3 m of a small cave for >98% of the time, and made between 1 to 148 swims d^-1, of which 92.5% were brief (<15 s) feeding attempts. On average, 1.7% of each day was engaged in locomotion, including 1.2% swimming and 0.5% manoeuvring. Swimming was generally slow, at <2 body lengths s^-1, and labriform and subcarangiform modes were used alternately or in combination. Activity level (swims or displays per hour) was unaffected by tide, but was lower for 3 d when a wind speed >16 knots prevailed indicating that large waves reduced activity. A suspected diurnal activity rhythm was not statistically significant. The fish is an ambush-predator, and it took most of its prey from the water column but some off macroalgae or the seabed. Ventilation rate was slightly higher after activity, and peaked after an encounter with anotherN. coriiceps.     

Recovery of forest structure and spectral properties after selective logging in lowland Bolivia.

Effective monitoring of selective logging from remotely sensed data requires an understanding of the spatial and temporal thresholds that constrain the utility of those data, as well as the structural and ecological characteristics of forest disturbances that are responsible for those constraints. Here we assess those thresholds and characteristics within the context of selective logging in the Bolivian Amazon. Our study combined field measurements of the spatial and temporal dynamics of felling gaps and skid trails ranging from <1 to 19 months following reduced-impact logging in a forest in lowland Bolivia with remote-sensing measurements from simultaneous monthly ASTER satellite overpasses. A probabilistic spectral mixture model (AutoMCU) was used to derive per-pixel fractional cover estimates of photosynthetic vegetation (PV), non-photosynthetic vegetation (NPV), and soil. Results were compared with the normalized difference in vegetation index (NDVI). The forest studied had considerably lower basal area and harvest volumes than logged sites in the Brazilian Amazon where similar remote-sensing analyses have been performed. Nonetheless, individual felling-gap area was positively correlated with canopy openness, percentage liana coverage, rates of vegetation regrowth, and height of remnant NPV. Both liana growth and NPV occurred primarily in the crown zone of the felling gap, whereas exposed soil was limited to the trunk zone of the gap. In felling gaps >400 m2, NDVI, and the PV and NPV fractions, were distinguishable from unlogged forest values for up to six months after logging; felling gaps <400 m2 were distinguishable for up to three months after harvest, but we were entirely unable to distinguish skid trails from our analysis of the spectral data.     

Risk assessment for ingested inorganic arsenic: A review and status report

Arsenic presents several unique problems in risk assessment. First, there is no good animal model for arsenic as a carcinogen, although in humans arsenic exposure through inhalation is judged to cause lung cancer and ingested inorganic arsenic is judged to cause skin cancer. Second, detoxification of arsenic through methylation is believed to be important, but the mechanisms and the quantitative relationships are not yet understood.EPA provided a risk assessment for ingested inorganic arsenic in its 1984 Health Assessment Document and a revised version in 1988. In both cases EPA calculated a cancer potency or slope factor using epidemiological data from Taiwan. EPA's standard or default risk assessment procedure is to use the linear coefficient from the multistage model in order to calculate cancer risk. This procedure was challenged by the EPA Science Advisory Board (SAB) in a report to the Administrator in September of 1989. The SAB recommended that EPA (1) develop a revised risk assessment based on estimates of the delivered dose of non-detoxified arsenic to target tissues, and (2) consider the potential reduction in cancer risk due to detoxification in establishing an MCL for arsenic.This paper will draw upon the author's experience with the SAB to summarise major issues in arsenic risk assessment and to examine how these issues might be resolved through further research.