Assessment of air quality in car cabin in and around Paris from on-board measurements and comparison with 2007 dataAir qualityFine and ultrafine particles (UFP)Car cabinParticle number concentrationsOn board measurementsExposure to trafficIn this paper, we report results on commuter's exposure to ...
Particularly, regions receiving the largest air quality, human health and renewable resource synergies are concentrated in central, northern and eastern power grids, where provincial air pollution and population exposure reductions are generally around 80% (>40 μg m−3), the corresponding provin...
3). Note that for most studies found in the literature, including those on CCS, emissions from the infrastructure and the extraction of raw materials other than fuel tend to be excluded since they are assumed to be relatively small in comparison to primary burdens or there...
Urban activities, particularly vehicle traffic, are contributing significantly to environmental pollution with detrimental effects on public health. The ability to anticipate air quality in advance is critical for public authorities and the general publi
The correction of MODIS C5.1 data using a fit to AERONET FMF works well, as shown by comparison with PARASOL data for the overlapping period [94]. This correction was used in the PMRS model [90] together with an improvement to the hygroscopic growth factor. The PM2.5 calculated using the...
There has been an increasing awareness of indoor air quality (IAQ) management in green building designs, driven by the need to mitigate potential health risks and create sustainable and healthy indoor environments. The COVID-19 pandemic has further highlighted the critical role of ventilation and IA...
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In comparison to similar studies, this work is the first detailed investigation of the impacts of COVID-19 shutdowns on the ground-level air quality in a major US city. One recently published manuscript did assess changes in PM2.5 and NO2 concentrations across the continental US (Berman and...
Airbnb said the services are "vetted for quality through an evaluation of expertise and reputation". "Services hosts have an average of 10 years of experience, have completed Airbnb's identity verification process, and are required to submit relevant licenses and certifications," it ad...
Machine Learning (ML) techniques are the most common methods to forecast air quality. Since the beginning of the 21st century, we can find hundreds of works in the literature that propose implementations of different models to get the best accuracy in the forecasting of air quality index or pol...