Dust pollution is a major problem in opencast mines. Many activities are associated with generation of dust that makes a cloud of pollutant at the work environment and the surrounding areas. Activities as drilling, blasting, transportation, surface miner etc. are the principle sources of generation...

ISC-Aermod view dispersion model has been used to study the ground level concentration of hydrocarbon (HC). The purpose was to predict the air quality effects from off-grid diesel power generators operated by a textile factory in Lagos, Nigeria on its host airshed. Emissions from 22 point sources in...

In recent decades, there has been an increasing interest in the prognosis of maximum surface ozone concentrations due to the adverse effects on human health, animal population, agricultural productivity and forestry. The present study deals with the development and application of Artificial Neural...

This paper analyzes the potential contribution of electric vehicles in greenhouse gas (GHG) emissions reduction over the next decade following a simulation procedure. Emissions were assessed through a stepwise methodological approach at the transportation link level in the Hamilton Census...

Two three dimensional Eulerian air quality models, PMCAMx and UAM-AERO are used to predict the concentrations of various pollutants in the Greater Athens Area (GAA) during the episode of June 22-26, 2003. The predicted levels of gases and aerosol pollutants are compared with measured concentrations...

In the present study, the Kalman filter algorithm was applied to forecast the wintertime PM10 concentrations of Macau. The algorithm was implemented on an AR(2) model and an AREX model, respectively. The AR(2) model is essentially an autoregressive model of order 2, i.e., the daily averaged PM10...

This work illustrates the use and some related results of Artificial Neural Networks (ANNs) for data quality control of environmental time series and for reconstruction of missing data. ANNs are applied to the following problems: i) short and medium-term predicting of air pollutant concentrations in...

Atmospheric aerosols have been implicated in human health effects, visibility reduction in urban and regional areas, acidic deposition, and altering the earth’s radiation balance. A major goal of scientific research for the last fifteen years has been the development of the necessary models, using...

The conventional landfilling does not promote sustainable waste management due to uncontrolled emissions which potentially degrade the environment. In this regard, pre-treatment of municipal solid waste prior to landfilling significantly enhance waste stabilization and provides various advantages...

In this study, the Bayesian approach is proposed to estimate the noise variances of Kalman filter based statistical models for predicting the daily averaged PM10 concentrations of a typical coastal city, Macau, with Latitude 22°10’N and Longitude 113°34’E. By using the measurements in 2001 and 2002...

According to the actual European context, including the development of risk free residential and industrial areas, the main demand lies in instant, accurate and elaborated information regarding environment quality and pollution risks. This paper presents a conceptual architecture for a versatile...

Urban air quality nowadays is one of the major environmental issues, due to its impact to various health problems, caused by the daily exposure of the population in dangerous air pollutants. The highest levels of air pollutants are usually observed in street canyons, emitted by urban traffic. To...