NUMERICAL PREDICTION MODELS FOR AIR POLLUTION BY MOTOR VEHICLE EMISSIONS

Numerical Time Integration for Air Pollution Models

Due to the large number of chemical species and the three space dimensions, o -the-shelf sti ODE integrators are not feasible for the numerical time integration of sti systems of advection-diffusion-reaction equations @c @t +r (uc) = r (Kr c) +R (c) ; c = c(x; t); c 2 IRm; x 2 IR3 from the eld of air pollution modelling. This has led to the use of special time integration techniques. This paper...

Motor vehicles, air pollution, and public health.

Over the past decade, an increasing body of scientific evidence has accrued associating outdoor air pollution with certain types of cancer. Specifically, two major large prospective epidemiological studies first published in the early to mid-1990s and, in the case of one study, recently confirmed with a larger data base, found an association between exposure to particulate air pollution and lun...

[Hygienic bases for deriving the maximum permissible motor vehicle emissions].

Air pollution prediction with statistical algorithms

Air pollution prediction via multi-label classification

A Bayesian network classifier can be used to estimate the probability of an air pollutant overcoming a certain threshold. Yet multiple predictions are typically required regarding variables which are stochastically dependent, such as ozone measured in multiple stations or assessed according to by different indicators. The common practice (independent approach) is to devise an independent classi...