Vehicular emission inventory and reduction scenario analysis in the Yangtze river delta, China

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Abstract

Vehicular emissions have become an important source of air pollution, and their effective reduction control is essential to protect the environment. The aim of this study was to establish multi-year vehicular emission inventories for ten important air pollutants and to analyze emission control policy scenarios based on these inventories. The inter-annual emission analysis results showed that the ten pollutant emissions had different change trends during the past decade. The emissions of CO, non-methane volatile organic compounds (NMVOCS), NOx, PM2.5, PM10, and CH4 tended to increase first and then decrease, but the years in which they began to decrease varied; the emissions of CO2 and NH3 showed the most significant growth trends, increasing by 567% and 4004% in 2015 compared with 1999, while the emissions of N2O and SO2 showed a general increasing trend and decreased obviously in a certain year. Eight scenarios based on emission inventories were designed; compared with the BAU scenario, the ESV scenario was the most effective policy to control NOx, PM2.5, and CH4 emissions; the radical AER scenario could decrease the vehicular emissions of CO, NMVOCs, PM10, CO2, N2O, and NH3; and the RFS scenario could reduce vehicular SO2 emissions significantly by 93.64%.

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Song, X., & Hao, Y. (2019). Vehicular emission inventory and reduction scenario analysis in the Yangtze river delta, China. International Journal of Environmental Research and Public Health, 16(23). https://doi.org/10.3390/ijerph16234790

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