Pollutants accumulated on road pavement during dry periods are washed off the surface with runoff water during rainfall events, presenting a potentially hazardous non-point source of pollution. Estimation of pollutant loads in these runoff waters is required for developing mitigation and management strategies, yet the numerous factors involved and their complex interconnected influences make st...

The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Abstract. Air pollution variability is strongly dependent on meteorology. However, quantifying the impacts of changes in regional climatology on pollution extremes can be difficult due to the many non-linear and competing meteorological influences on the production, transport, ...

This paper presents a novel Neural Network application in order to estimate Air Pollutant Levels. The application considers both Pollutant concentrations and Meteorological variables. In order to compute the Air Pollutant Level the method considers three important stages. In first stage, A process to validate data information and built a threedimensional Information Feature Vector with Pollutan...

oil contamination is one of the most common and usual kinds of pollution in aquatic and terrestrial ecosystems. one of the economical and effective methods for decreasing or eliminating oil contamination is using plants and microorganisms. soils contain a wide variety of oil decomposing microorganisms, of which pseudomonad, rhodocoous and nocardia are the most important. to evaluate the effect ...

This study focuses on determining the variation of indoor pollutants in public transport buses in the City of Toledo running on biodiesel (BD) and ultra low sulfur diesel (ULSD). The indoor pollutants monitored are carbon dioxide (CO2), carbon monoxide (CO), sulfur dioxide (SO2), nitric oxide (NO), and particulate matter (PM). Temperature (Temp.) and relative humidity (RH) are also measured ins...

This paper presents results of comprehensive analyses of data from the first 122 commercially available wireless environmental pervasive sensors (motes), developed by Newcastle University and deployed in England. Measurements of pollution, meteorology and traffic are used to investigate the complexity of the physical and chemical processes governing the levels of traffic-related pollution in ur...