Air pollution is the one of the most significant environmental risks to health worldwide. An
accurate assessment of population exposure would require a continuous distribution of …

Prediction of wildfire propagation plays a crucial role in reducing the impacts of such events.
Various machine learning (ML) approaches, namely Support Vector Regression (SVR) …

Predicting wildfire progression is vital for countering its detrimental effects. While numerous
studies over the years have delved into forecasting various elements of wildfires, many of …

Traditional air quality analysis and prediction methods depend on the statistical and
numerical analyses of historical air quality data with more information related to a specific …

This study presents a fit-for-purpose lab and field evaluation of commercially available
portable sensor systems for PM, NO2, and/or BC. The main aim of the study is to identify …

Urban air quality mapping has been widely applied in urban planning, air pollution control
and personal air pollution exposure assessment. Urban air quality maps are traditionally …

Air quality estimation using low-cost sensors is a pressing issue, with meteorological factors
often causing measurement discrepancies. Hygroscopicity, arising from humidity's …

The deployment of a mobile air quality monitoring laboratory requires advanced real-time
instrument monitoring and data management software, which can be prohibitively …

Mobile monitoring campaigns have effectively captured spatial hyperlocal variations in long-
term average concentrations of regulated and unregulated air pollutants. However, their …

Despite improvements in air quality over the last several decades, air pollution will continue
to be a leading cause of harmful health effects in European cities as urban populations …