Literature DB >> 28108164

Assessment of Co-benefits of vehicle emission reduction measures for 2015-2020 in the Pearl River Delta region, China.

Yong-Hong Liu1, Wen-Yuan Liao2, Xiao-Fang Lin2, Li Li2, Xue-Lan Zeng2.   

Abstract

Vehicle emissions have become one of the key factors affecting the urban air quality and climate change in the Pearl River Delta (PRD) region, so it is important to design policies of emission reduction based on quantitative Co-benefits for air pollutants and greenhouse gas (GHG). Emissions of air pollutants and GHG by 2020 was predicted firstly based on the no-control scenario, and five vehicle emissions reduction scenarios were designed in view of the economy, technology and policy, whose emissions reduction were calculated. Then Co-benefits between air pollutants and GHG were quantitatively analyzed by the methods of coordinate system and cross-elasticity. Results show that the emissions reduction effects and the Co-benefits of different measures vary greatly in 2015-2020. If no control scheme was applied, most air pollutants and GHG would increase substantially by 20-64% by 2020, with the exception of CO, VOC and PM2.5. Different control measures had different reduction effects for single air pollutant and GHG. The worst reduction measure was Eliminating Motorcycles with average reducing rate 0.09% for air pollutants and GHG, while the rate from Updated Emission Standard was 41.74%. Eliminating Yellow-label Vehicle scenario had an obvious reduction effect for every single pollutant in the earlier years, but Co-benefits would descent to zero in later by 2020. From the perspective of emission reductions and co-control effect, Updated Emission Standard scenario was best for reducing air pollutants and GHG substantially (tanα=1.43 and Els=1.77).
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Co-benefits analysis; PRD region; Scenario design; Transportation sector

Mesh:

Substances:

Year:  2017        PMID: 28108164     DOI: 10.1016/j.envpol.2016.12.031

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  1 in total

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

Authors:  Xiaowei Song; Yongpei Hao
Journal:  Int J Environ Res Public Health       Date:  2019-11-29       Impact factor: 3.390

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.