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- W4380682715 abstract "Many cities face low air quality. To better predict the exceedance of air quality limits, the traffic’s contribution to air pollution was analysed in this paper. Several studies used a twin site approach to determine the impact of urban traffic; however, it requires the deployment of stations at various locations. A time variant analysis to determine traffic’s contribution and regression analysis were applied to determine the weather’s impact. The results were validated using actual traffic data. It was found that the traffic’s contributions to CO and NO2 were 22 and 30%. It was noted that the seasonal fluctuation of NO2 is significantly influenced by precipitation. Long-term trends of pollutants require further research." @default.
- W4380682715 created "2023-06-15" @default.
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- W4380682715 date "2023-06-14" @default.
- W4380682715 modified "2023-09-23" @default.
- W4380682715 title "Data-driven analysis of transport and weather impact on urban air quality" @default.
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- W4380682715 doi "https://doi.org/10.14513/actatechjaur.00698" @default.
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