The COVID-19 crisis is likely to have dramatic consequences for progress on climate change. Imminent fiscal recovery packages could entrench or partly displace the current …
A Roy, M Mandal, S Das, M Kumar, R Popek… - Environmental …, 2024 - eeer.org
Recent regulations on exhaust emissions have led to an increase in non-exhaust emissions, which now surpasses exhaust emissions. Non-exhaust emissions are mainly generated …
Forecasting the Ozone concentration is a substantial process in many important environmental issues such air pollution management, risk assessment, public health, and …
W Yang, M Deng, F Xu, H Wang - Atmospheric Environment, 2018 - Elsevier
Real-time air quality prediction has been an active field of research in atmospheric environmental science. The existing methods of machine learning are widely used to predict …
Future PM 10 concentration prediction is very important because it can help local authorities to enact preventative measures to reduce the impact of air pollution. The aims of this study …
The combination of a low-density geochemical survey, multispectral data obtained with Unmanned Aerial Vehicle-Remote Sensing (UAV-RS), and a machine learning technique …
The daily variations of air pollutants in the Klang Valley, Malaysia, which includes Kuala Lumpur were investigated for its association with mortality counts using time series analysis …
Plasma-assisted nitrogen fixation has emerged as a promising alternative to conventional nitrogen fixation methods. In this study, we investigate the feasibility of plasma-assisted …
Environmental monitoring is necessary to ensure the overall health and conservation of an ecosystem. However, ecosystems (eg air, water, soil), are complex, involving numerous …