In this paper we illustrate a forecast method of atmospheric pollution critical events caused by particulate matter (specifically PM10) based upon the application of Bayesian networks. These Bayesian networks model the temporal series of the pollutant during the day and the influence that meteorological parameters have upon them. Each network has received some evidences (coming from historical ...

Publically accessible pollution databases, such as the Australian National Pollutant Inventory, contain information on chemical emissions released by industrial facility and diffuse sources. They are meant to enable public scrutiny of industrial activity, which in turn, is meant to lead to industries reducing their pollution. In Australia, however, concerns have been consistently raised that th...

Using real options, we analyze the timing of implementing emission limits for a decaying pollutant when random environmental effects affect its stock. Two types of irreversibility are present: the first type results from long-term environmental damage, and the second from sunk costs in pollution abatement. We assume that social damage from pollution is a power function of the stock of pollutant...

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Based only on current pollutant measured concentrations and atmospheric parameters the paper presents a novel procedure able to predict pollutant emission concentrations and to estimate the risk of pollution. Instead of deterministic or probabilistic methods, cumbersome regression analysis or physical models, a minimax decision procedure based on support vector machine in a minimax approach imp...

In this study, a three-dimensional numerical simulation of the wind flow and pollutant transport in street canyons is carried out by a new specific solver, which is developed and coupled into an open source CFD tool box, the OpenFOAM package. The new model has been applied to study the effect of roof shapes and building heights on the flow patterns and pollutant transports in the street canyons...

Cobalt sulfide (CoS2) nanostructures were synthesized via a simple thermal decomposition method using [Co(oct)2] as a new precursor. Using the organometallic compound as precursor could synthesize materials in nano-scale because of having the massive structure that acted as capping agent. The products were characterized by various analyses such as X-ray diffraction pattern (XRD), scanning elect...

Pollutant chemicals that are widespread in the environment can affect endocrine function in laboratory experiments and in wildlife. Although human beings are commonly exposed to such pollutant chemicals, the exposures are generally low and clear effects on endocrine function from such exposures have been difficult to demonstrate. Human data including both exposure to the chemical agent and the ...