Vehicular Emission Inventory and Reduction Scenario Analysis in the Yangtze River Delta, China

Xiaowei Song and Yongpei Hao
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Xiaowei Song: College of Resources and Environment, Shanxi University of Finance & Economics, Taiyuan 030006, China
Yongpei Hao: College of Resources and Environment, Shanxi University of Finance & Economics, Taiyuan 030006, China

IJERPH, 2019, vol. 16, issue 23, 1-21

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 (NMVOC S ), NO x , PM 2.5 , PM 10 , and CH 4 tended to increase first and then decrease, but the years in which they began to decrease varied; the emissions of CO 2 and NH 3 showed the most significant growth trends, increasing by 567% and 4004% in 2015 compared with 1999, while the emissions of N 2 O and SO 2 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 NO x , PM 2.5 , and CH 4 emissions; the radical AER scenario could decrease the vehicular emissions of CO, NMVOCs, PM 10 , CO 2 , N 2 O, and NH 3 ; and the RFS scenario could reduce vehicular SO 2 emissions significantly by 93.64%.

Keywords: vehicular pollution; emission inventory; scenario analysis; life-cycle analysis; YRD (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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