Public-Health Impact of Outdoor Air Pollution in Russia

Based on the well-known approaches to risk assessment, estimates of the number of attributable deaths caused by atmospheric air pollution in the towns of Russia have been obtained. The data of daily monitoring of air pollution in 1993 and 1998 carried out by Rosgidromet (Weather Service of Russia) were used for assessment. The epidemiology-based exposure–response function for a 10 g/m³ increase in particulate matter PM₁₀ was used to assess the attributable number of cases of deaths in Russia. The EPA approach was applied to derive the risk of carcinogenesis caused by outdoor carcinogens controlled by Rosgidromet. In the present paper, it has been shown that up to 219–233 thousands of premature deaths or 15–17% out of the total annual mortality might be caused by air pollution in Russia. The data are given on a possible contribution of various carcinogens controlled by Rosgidromet at the stations of constant observation to the total mortality caused by atmospheric pollution. On the whole, the number of people that fell ill with cancer as a result of exposure to all the carcinogens present in the atmosphere can be assessed within the range of 2000–4000 humans. This assessment estimates the public-health impacts of air pollution. At the present time, we have no information concerning the degree of universality of the exposure–response function for PM₁₀ and its sensitivity to a change in social-demographic indicators. Nevertheless, the assessments, given in the present work, make it possible to obtain important information concerning the possible scale of health-outcome due to atmospheric pollution for the population of Russia.     

Modeling mobile source emissions during traffic jams in a micro urban environment

Urbanization typically involves a continuous increase in motor vehicle use, resulting in congestion known as traffic jams. Idling emissions due to traffic jams combine with the complex terrain created by buildings to concentrate atmospheric pollutants in localized areas. This research simulates emissions concentrations and distributions for a congested street in Minsk, Belarus. Ground-level (up to 50-meters above the street's surface) pollutant concentrations were calculated using STAR (version 3.10) with emission factors obtained from the U.S. Environmental Protection Agency, wind speed and direction, and building location and size. Relative emissions concentrations and distributions were simulated at 1-meter and 10-meters above street level. The findings demonstrate the importance of wind speed and direction, and building size and location on emissions concentrations and distributions, with the leeward sides of buildings retaining up to 99 percent of the emitted pollutants within 1-meter of street level, and up to 77 percent 10-meters above the street.     

Estimating receptor sensitivity to spatial proximity of emissions sources

Spatial proximity of emissions sources to receptors may affect sensitivity to potential adverse human health effects. This research investigates whether receptor sensitivity to the location of emission sources can be utilized efficiently to minimize health risk in selecting sites for industrial enterprises, thermal electric stations, etc. A sensitivity function that is independent of the location of pre-existing emission sources is derived and applied to Minsk, Belarus. The function estimates exposures based on weather and climatic conditions as well as the distribution of population density at a given locality. Arraying prospective sites based on their sensitivity function magnitude provides a technique for minimizing health risk based on receptor sensitivity to the spatial proximity of atmospheric emissions sources.