Air pollution modelling and control represent critical intersections between environmental science, engineering and public policy. Modelling techniques—ranging from deterministic dispersion models and ...
My long career as an air pollution meteorologist largely consisted of mathematical modeling of the impact of industrial air contaminants on surrounding communities. Much of my practice included ...
A large Chinese research team has developed an air quality model called EPICC (Emission and atmospheric Processes Integrated and Coupled Community Model) that demonstrates improved accuracy in its ...
Costas Velis consults for organisations active in the waste, resources and circular economy sphere. He receives funding from UKRI, GCRF, NERC, ESRC, BBRSC, Royal Academy of Engineering, British ...
As wildfire seasons intensify and air pollution continues to threaten public health, geographers are turning to new generations of artificial intelligence models to understand how environmental ...
Snowballing framework between the oil slick dataset and the deep learning model. The left panel (in red) represents the process of data preparation, and the right panel (in blue) represents the ...
A new study finds that many companies undercount supply chain emissions, masking where carbon pollution really comes from.
BEIJING, 24 December (BelTA - Xinhua) - Chinese researchers have developed a new air quality model that enables more accurate simulation of two major pollutants: fine particulate matter and ...
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