Air pollution is not only an environmental problem, but also an economic problem. Faced
with the deteriorating air pollution, the role of financial institutions is increasingly valued …

Land use regression (LUR) models are widely applied to estimate intra-urban air pollution
concentrations. National-scale LURs typically employ predictors from multiple curated …

Governments efforts to reduce future emissions and change the trajectory of fossil fuel
consumption must include widespread adoption of the Hydrogen (H 2) promise. However …

The high growth in the use of underground diesel vehicles has led to a large number of
exhaust pollutants, especially particulate matter (PM), which is a serious threat to the lives …

The growing urban population and increased use of healthcare services have brought
significant attention to the safe and sustainable management of medical waste. Selecting the …

We propose a hybrid deep learning neural network model for accurately calculating
municipal solid waste (MSW) production and diversions with socioeconomic and …

Water ecosystems are highly sensitive to environmental conditions, including meteorological
factors, which influence dissolved oxygen (DO) concentrations, a critical indicator of water …

Rapid urbanization and industrialization has caused air pollution primarily in the form of fine
dust. Consequently, various respiratory diseases in humans and social damage have …

Green finance has been widely acknowledged as a pivotal instrument for mitigating carbon
emissions. However, few studies have focused on the role of maturity mismatches in …

The CO2 reduction promise must be widely adopted if governments are to decrease future
emissions and alter the trajectory of urban mobility. However, from a long-term perspective …