Over the past decade, a range of sensor technologies became available on the market,
enabling a revolutionary shift in air pollution monitoring and assessment. With their cost of …

Data assimilation is used in atmospheric chemistry models to improve air quality forecasts,
construct re-analyses of three-dimensional chemical (including aerosol) concentrations and …

Low-cost sensors (LCSs) are widely acknowledged for bringing a paradigm shift in
supplemental traditional air monitoring by air regulatory agencies. However, there is …

Low-cost air monitoring sensors are an appealing tool for assessing pollutants in
environmental studies. Portable low-cost sensors hold promise to expand temporal and …

Integration of low-cost air quality sensors with the internet of things (IoT) has become a
feasible approach towards the development of smart cities. Several studies have assessed …

The development of low-cost sensors and novel calibration algorithms provides new hints to
complement conventional ground-based observation sites to evaluate the spatial and …

The elderly population is relatively vulnerable to air pollution and thermal stress due to their
low mobility and high prevalence of chronic disorders. Appropriate green infrastructure (GI) …

Steel and rolling industry are the most important industries polluting the environment.
Therefore, aim of this study is to make an emission model for SO2 and NO2 pollutants …

Many efforts have been made to control PM 2.5 pollution in China during the National 13th
Five-Year Plan and PM 2.5 concentrations significantly declined nationwide. Meteorological …

Nowadays, the study of air quality has become an increasingly prominent field of research,
particularly in large urban centers, given its significant impact on human health. In many …