Research on the Vehicle Emission Characteristics and Its Prevention and Control Strategy in the Central Plains Urban Agglomeration, China

With rapid economic development and urbanization in China, vehicle emissions are increasingly becoming one of the major factors affecting air quality. The Central Plains Urban Agglomeration (CPUA), which has undergone a fast increase in vehicle population and has an advantageous geographical locatio...

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Main Authors: Xiaowei Song, Yongpei Hao
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/13/3/1119
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spelling doaj-346e58d88bf14dd69a92eb60590228a32021-01-22T00:06:08ZengMDPI AGSustainability2071-10502021-01-01131119111910.3390/su13031119Research on the Vehicle Emission Characteristics and Its Prevention and Control Strategy in the Central Plains Urban Agglomeration, ChinaXiaowei Song0Yongpei Hao1College of Resources and Environment, Shanxi University of Finance & Economics, Taiyuan 030006, ChinaCollege of Resources and Environment, Shanxi University of Finance & Economics, Taiyuan 030006, ChinaWith rapid economic development and urbanization in China, vehicle emissions are increasingly becoming one of the major factors affecting air quality. The Central Plains Urban Agglomeration (CPUA), which has undergone a fast increase in vehicle population and has an advantageous geographical location, was selected as the study area. Vehicle emissions estimated based on the COPERT IV model in this area changed greatly between 1999 and 2015, during which time the emissions of NO<sub>x</sub>, CO<sub>2</sub>, and NH<sub>3</sub> increased markedly. Passenger cars and light-duty vehicles were the main contributors to pollutants CO and non-methane volatile organic compounds (NMVOC) emissions. Heavy-duty trucks and buses were the important contributors to pollutants NO<sub>x</sub>, PM<sub>2.5</sub>, and PM<sub>10</sub>. Passenger cars were the major contributors to CO<sub>2</sub>, CH<sub>4</sub>, N<sub>2</sub>O, NH<sub>3</sub>, and SO<sub>2</sub>. The city with the most emissions is Zhengzhou, followed by Luoyang, Shangqiu, and Zhoukou. The spatial distribution of vehicle emissions has formed around or tended to concentrate in urban centers. Then, this study also predicts the vehicle emissions from 2015 to 2025 and designs ten policy scenarios for the prevention and control of emissions to evaluate the emission reduction effect. The radical integrated scenario was most effective for controlling CO, NMVOC, NO<sub>x</sub>, PM<sub>2.5</sub>, PM<sub>10</sub>, CO<sub>2</sub>, N<sub>2</sub>O, and NH<sub>3 </sub>emissions than any one scenario by itself.https://www.mdpi.com/2071-1050/13/3/1119vehicle emissionsprevention and control scenariosthe CPUA
collection DOAJ
language English
format Article
sources DOAJ
author Xiaowei Song
Yongpei Hao
spellingShingle Xiaowei Song
Yongpei Hao
Research on the Vehicle Emission Characteristics and Its Prevention and Control Strategy in the Central Plains Urban Agglomeration, China
Sustainability
vehicle emissions
prevention and control scenarios
the CPUA
author_facet Xiaowei Song
Yongpei Hao
author_sort Xiaowei Song
title Research on the Vehicle Emission Characteristics and Its Prevention and Control Strategy in the Central Plains Urban Agglomeration, China
title_short Research on the Vehicle Emission Characteristics and Its Prevention and Control Strategy in the Central Plains Urban Agglomeration, China
title_full Research on the Vehicle Emission Characteristics and Its Prevention and Control Strategy in the Central Plains Urban Agglomeration, China
title_fullStr Research on the Vehicle Emission Characteristics and Its Prevention and Control Strategy in the Central Plains Urban Agglomeration, China
title_full_unstemmed Research on the Vehicle Emission Characteristics and Its Prevention and Control Strategy in the Central Plains Urban Agglomeration, China
title_sort research on the vehicle emission characteristics and its prevention and control strategy in the central plains urban agglomeration, china
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2021-01-01
description With rapid economic development and urbanization in China, vehicle emissions are increasingly becoming one of the major factors affecting air quality. The Central Plains Urban Agglomeration (CPUA), which has undergone a fast increase in vehicle population and has an advantageous geographical location, was selected as the study area. Vehicle emissions estimated based on the COPERT IV model in this area changed greatly between 1999 and 2015, during which time the emissions of NO<sub>x</sub>, CO<sub>2</sub>, and NH<sub>3</sub> increased markedly. Passenger cars and light-duty vehicles were the main contributors to pollutants CO and non-methane volatile organic compounds (NMVOC) emissions. Heavy-duty trucks and buses were the important contributors to pollutants NO<sub>x</sub>, PM<sub>2.5</sub>, and PM<sub>10</sub>. Passenger cars were the major contributors to CO<sub>2</sub>, CH<sub>4</sub>, N<sub>2</sub>O, NH<sub>3</sub>, and SO<sub>2</sub>. The city with the most emissions is Zhengzhou, followed by Luoyang, Shangqiu, and Zhoukou. The spatial distribution of vehicle emissions has formed around or tended to concentrate in urban centers. Then, this study also predicts the vehicle emissions from 2015 to 2025 and designs ten policy scenarios for the prevention and control of emissions to evaluate the emission reduction effect. The radical integrated scenario was most effective for controlling CO, NMVOC, NO<sub>x</sub>, PM<sub>2.5</sub>, PM<sub>10</sub>, CO<sub>2</sub>, N<sub>2</sub>O, and NH<sub>3 </sub>emissions than any one scenario by itself.
topic vehicle emissions
prevention and control scenarios
the CPUA
url https://www.mdpi.com/2071-1050/13/3/1119
work_keys_str_mv AT xiaoweisong researchonthevehicleemissioncharacteristicsanditspreventionandcontrolstrategyinthecentralplainsurbanagglomerationchina
AT yongpeihao researchonthevehicleemissioncharacteristicsanditspreventionandcontrolstrategyinthecentralplainsurbanagglomerationchina
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