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Using artificial intelligence, Cornell engineers have simplified and reinforced models that accurately calculate the fine particulate matter (PM2.5) – the soot, dust and exhaust emitted by trucks and ...
MAPPING DISPERSION OF URBAN AIR POLLUTION WITH REMOTE SENSING
Urban Pollution Mapping Environment Temperature Optical Landsat
2015/8/31
Dispersion of air pollution depends upon various factors including weather conditions, topography and local situation, causing large
variation, even in small areas. In addition to mathematical dispe...
Biomass burning and urban air pollution over the Central Mexican Plateau
Biomass burning urban air pollution Central Mexican Plateau
2009/8/7
Observations during the 2006 dry season of highly elevated concentrations of cyanides in the atmosphere above Mexico City (MC) and the surrounding plains demonstrate that biomass burning (BB) signific...
Meteorology applied to urban air pollution problems: concepts from COST 715
Meteorology urban air pollution problems
2008/12/31
The outcome of COST 715 is reviewed from the viewpoint of a potential user who is required to consider urban meteorology within an air pollution assessment. It is shown that descriptive concepts are h...