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Abstract Air pollution due to the presence of tiny particles and gases in the atmosphere is a common source of health problems. In the same way, a city council can use the collected data for traffic control and the development of appropriate traffic policies throughout the city, such as banning the traffic flow in certain areas. An approach is described in this paper, which includes a computerized traffic flow simulation and air pollution dispersion in Zaragoza's city. The proposal, which is more detailed, includes a traffic simulation tool to determine and predict the amount of traffic on each road segment and hour, as well as the development of a trajectory generation scheme that complements SUMO's functionalities. An R package called Vehicular Emissions INventories is used to determine the amount of NO_x NO x created by the traffic flows in terms of air pollutants: assuming the study area's vehicular fleet composition. Lastly, considering the city's meteorological conditions and morphology, a service capable of delivering maps with the prediction of the dispersion of these atmospheric pollutants in the air has been developed.
Source link: https://doi.org/10.1007/s42979-022-01105-0
Climate change has increased air pollution levels in urban areas in the last few decades, with a direct and significant effect on urban populations. The tool, Air Pollution Change Cardiovascular and Respiratory, incorporates the fuzzy chi square test with the UML self organizing maps algorithm, and it is named Air Pollution Climate Change Cardiovascular and Respiratory.
Source link: https://doi.org/10.4018/ijiscram.2017070102
Using the Migrant Population Dynamic Monitoring Survey and Air Quality Index results from 2014, this paper examines the effects of air pollution on China's internal migration. Using two-stage least squares estimates, the migration effect of sever air pollution remains unchanged. Besides, residents from central and western regions, the ranked top environmental protection cities and towns not listed as resource-based cities have greater desire to leave than those from the cities in the eastern region, Non-KEP cities, and RB cities.
Source link: https://doi.org/10.4018/jgim.300816
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