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Particulate matter (PM) in outdoor air pollution is one of the most critical factors that cause serious health problems and even deaths. One significant source of these particles are nonexhaust emissions, which refer to pollutants that come from sources, like brake, tire, and road wear other than a vehicle's exhaust system. This review focuses on the presence of non-exhaust particles on pavement, encompassing their classification, composition, evaluation, and mitigation. Based on extensive literature, it can be concluded that the quantity of non-exhaust emissions is affected by a combination of complex factors, such as vehicle speed, tire type, and pavement material. Non-exhaust particles can be classified into organic, inorganic, and metal matter, each requiring a distinct analysis and detection method. The effective approaches to managing non-exhaust emissions include water cleaning, utilizing functional pavement materials, and applying chemical reagents to alleviate emission capacity. Finally, this review recommends future research directions such as combining tire-road simulation with environmental monitoring equipment, in the hope that this article will have a positive impact on the mitigation of non-exhaust emissions. [ABSTRACT FROM AUTHOR]

Emissions from forest fires give out huge amounts of greenhouse gases into the atmosphere degrading the surrounding air quality. Climate change results in prolonged summer days and less precipitation thus increasing fuel accumulation facilitating recurring forest fires in the Western Himalayan regions. Most of the forest fire cases are human ignited that damaging the forest irreparably. This study attempts to analyse the impact of the forest fire events on the tropospheric concentrations of five major gaseous pollutants aerosols, Carbon Monoxide (CO), Nitrogen Dioxide (NO2), Sulphur Dioxide (SO2) and Formaldehyde (HCHO). A clear increase in daily average of the air pollutants considered in the study was observed as the number of forest fires were also increasing. The gases responded inversely with precipitation. Precipitation washed away majority of the air pollutants. The high-resolution air quality data were retrieved from the Google Earth Engine platform using Sentinel 5 Precursor datasets, daily active fire points from the Visible Infrared Imaging Radiometer Suite (VIIRS) instrument of Suomi National Polar-orbiting Partnership (SNPP) and daily precipitation data from CHIRPS Daily Version 2.0 Final. Four out of five gases i.e., CO, aerosols, NO2, HCHO pollutants gave moderate to high correlation values with the forest fire incidences. Air pollutants responded inversely with the precipitation pattern. [ABSTRACT FROM AUTHOR]

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