A wide range of data collected by monitoring systems and by mathematical and physical modelling can be managed in the frame of spatial models developed in GIS. In addition to data management and standard environmental analysis of air pollution, data from remote sensing (aerial and satellite images) can ehance all data sets. In spite of the fact that simulation of air pollutant distribution is c...

in recent years, increasing population, vehicles and industrial growth have caused air pollution that is initiated many environment problems and damaged public health. to check the air quality in different regions, pollution data that are collected in air pollution stations are required. for better and more realistic monitoring of air pollution, the stations must be distributed exactly and even...

There has been a great deal of research into the short–term effects of air pollution on health with a large number of studies modelling the association between aggregate disease counts and environmental exposures measured at point locations, for example via air pollution monitors. In such cases, the standard approach is to average the observed measurements from the individual monitors and use t...

a r t i c l e i n f o a b s t r a c t The Graphics Processing Unit (GPU) is a powerful tool for parallel computing. In the past years the performance and capabilities of GPUs have increased, and the Compute Unified Device Architecture (CUDA) – a parallel computing architecture – has been developed by NVIDIA to utilize this performance in general purpose computations. Here we show for the first ...

background: air pollution has been a serious public health threat worldwide. it has been linked to pulmonary and cardiovascular diseases but is also believed to contribute to air-pollution-mediated cardiometabolic disease such as diabetes. we investigated the relationship between type 2 diabetes mellitus (dm2) and air pollution in densely developed urban settings in south korea, using national ...

BACKGROUND Numerous studies have shown that exposure to air pollutants in the area of residence and the socio-economic status of an individual may be related. Therefore, when conducting an epidemiological study on the health effect of air pollution, socio-economy may act as a confounding factor. In this paper we examine to what extent socio-economic status and concentrations of NO2 in the count...

The aim of the study is an uncertainty analysis of an air dispersion model[ The model used is described in NRPB!R80 "Clarke\ 0868#\ a model for short and medium range dispersion of radionuclides released into the atmosphere[ Uncertainties in the model predictions arise both from the uncertainty of the input variables and the model simpli_cations\ resulting in parameter uncertainty[ The uncertai...

The air pollution, and especially the reduction of the air pollution to some acceptable levels, is an important environmental problem, which will become even more important in the next two-three decades. This problem can successfully be studied only when high-resolution comprehensive models are developed and used on a routinely basis. However, such models are very time-consuming, also when mode...

context air pollution is common in all countries and affects reproductive functions in men and women. it particularly impacts sperm parameters in men. this meta-analysis aimed to examine the impact of air pollution on the quality of sperm. conclusions the results of this meta-analysis showed that air pollution reduces sperm motility, but has no impact on the other sperm parameters of spermogram...

Time series regression studies have been widely used in environmental epidemiology, notably in investigating the short-term associations between exposures such as air pollution, weather variables or pollen, and health outcomes such as mortality, myocardial infarction or disease-specific hospital admissions. Typically, for both exposure and outcome, data are available at regular time intervals (...