Time series studies have provided strong evidence of an association between increased levels of ambient air pollution and increased hospitalizations, typically at a single lag of 0, 1, or 2 days after an air pollution episode. Two important scientific objectives are to better understand how the risk of hospitalization associated with a given day’s air pollution increase is distributed over mult...

A new method for multi-objective optimization of air quality monitoring systems based on satellite remote sensing of the troposphere is described in this work. The technique uses atmospheric turbidity as surrogate for air pollution loading. Through inverse chemical modeling and ancillary information the respective patterns of primary gaseous and particle pollutants are inferred. The optimizatio...

Pollution: Associations Persist with Continued Advances in Research Methodology (See Neas et al., p. 629; Lee and Schwartz; p. 633; and Fairley, p. 637) In this issue of Environmental Health Perspectives there are papers by Fairley, Neas et al., and Lee and Schwartz. Although these papers present different approaches, they provide a reasonable representation of stateof-the-art epidemiologic res...

More accurate spatio-temporal predictions of urban environment are needed as a basis for assessing exposures as a part of environmental studies, and to inform urban protection policy and management. This paper is focused on modelling in the GIS to estimate air, water and soil pollution in urban areas. The basic environmental components are complemented by bio-monitoring, waste management and no...

Heavy air pollution, especially fine particulate matter (PM2.5), poses serious challenges to environmental sustainability in Beijing. Epidemiological studies and the identification of measures for preventing serious air pollution both require accurate PM2.5 spatial distribution data. Land use regression (LUR) models are promising for estimating the spatial distribution of PM2.5 at a high spatia...

Air pollution has significant influence on the concentration of constituents in the atmosphere leading to effects like global warming and acid rains. To avoid such adverse imbalances in the nature, an air pollution monitoring system is utmost important. This paper attempts to develop an effective solution for pollution monitoring using wireless sensor networks (WSN) on a real time basis namely ...

pollution has become a very serious threat to our environment. monitoring pollution is the rst step toward planning to save the environment. the use of dierential equations, monitoring pollution has become possible. in this paper, a ritz-collocation method is introduced to solve non-linear oscillatory systems such as modelling the pollution of a system of lakes. the method is based upon bernoul...