High emission of black carbon in heavy-duty diesel vehicles: Insights from microscopic operating conditions DOI
Ting Chen, Xiao He, Liqiang He

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 951, P. 175808 - 175808

Published: Aug. 26, 2024

Language: Английский

Estimation and Analysis of Air Pollutant Emissions from On-Road Vehicles in Changzhou, China DOI Creative Commons
Mengjie Guo, Ning Miao, Shida Sun

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(2), P. 192 - 192

Published: Feb. 1, 2024

Vehicle emissions have become a significant contributor to urban air pollution. However, studies specific city-level vehicle emission inventories are still scarce and tend be outdated. This study introduces methodology for developing high-resolution monthly inventories. We applied this Changzhou in 2022 analyze characteristics generate gridded data with resolution of 0.01° × 0.01°. The results show that the total carbon monoxide (CO), volatile organic compounds (VOCs), nitrogen oxides (NOx), fine particulate matters (PM2.5) 39.69, 8.68, 18.6, 0.56 Gg, respectively. Light-duty passenger vehicles main contributors CO (74.3%) VOCs (86.1%) emissions, while heavy-duty trucks play role NOx (50.7%) PM2.5 (34.7%) emissions. Gasoline mainly responsible (78.6%) (91.4%) diesel primary source (81.1%) (70.6%) Notably, China IV highest contribution rates (ranging from 32.5% 44.9%). Seasonally, peak winter lowest April. Spatially, intensity is higher northeast compared west south. presented offers valuable tool comprehensive inventories, provide critical insights can inform formulation effective environmental policies.

Language: Английский

Citations

3

Province-Level Decarbonization Potentials for China’s Road Transportation Sector DOI
Min Liu, Yifan Wen, Xiaomeng Wu

et al.

Environmental Science & Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Decarbonizing road transportation is an important task in achieving China's climate goals. Illustrating the mitigation potentials of announced policies and identifying additional strategies for various vehicle fleets are fundamental optimizing future control pathways. Herein, we developed a comprehensive analysis carbon dioxide (CO

Language: Английский

Citations

3

Local Climate Might Amplify Economic and Environmental Impacts of Electric Vehicles in China DOI

Yijing Zhu,

Xiang Liu, Yifan Liu

et al.

Environmental Science & Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 23, 2025

Electric vehicles (EVs) are crucial for addressing the intertwined challenges of climate change and air pollution. The multiaspect benefits EVs highly dependent on local conditions, yet impacts regional heterogeneity in context future remain unclear. Here, we develop a systemic modeling framework integrating fleet modeling, emission projection, index decomposition analysis, detailed cost assessment to identify drivers potential trade-offs behind electrification. Our findings reveal substantial variations EV charging costs, ranging from 2.6 3.6 USD/100km. By 2030, could constitute 54 96% vehicle sales, reducing China's CO2 emissions by 40.3 Tg NOx 20.8 Gg compared 2020 levels. Climate might amplify EVs, potentially national energy consumption 1–2% toward 2060, particularly alleviating winter-related battery performance degradation. results highlight tailoring strategies subregional conditions recommend accelerating electrification maximize environmental economic cobenefits under global warming.

Language: Английский

Citations

0

Heavy metal emissions from on-road vehicles in Xia-Zhang-Quan metropolitan area in southeastern China from 2015 to 2060: impact of vehicle electrification DOI

Zhe-Nan Wen,

Qi-Yu Miao,

Ji‐Long Chen

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 16, 2024

Language: Английский

Citations

2

Machine learning exploring the chemical compositions characteristics and sources of PM2.5 from reduced on-road activity DOI

Dan Liao,

Youwei Hong,

Huabin Huang

et al.

Atmospheric Pollution Research, Journal Year: 2024, Volume and Issue: 15(11), P. 102265 - 102265

Published: July 24, 2024

Language: Английский

Citations

0

Evaluating Collaborative Emission Reduction Efforts in Urban Road Passenger Transportation: insights from the City Scale DOI Creative Commons
Lanyi Zhang,

Dawei Weng,

Yinuo Xu

et al.

Heliyon, Journal Year: 2024, Volume and Issue: unknown, P. e37903 - e37903

Published: Sept. 1, 2024

Language: Английский

Citations

0

Please mind the gap: Examining regional variations in private vehicle carbon dioxide emissions and fuel consumption—The case of Australia DOI Creative Commons
Kai Li Lim, Ying Lu, Anthony Kimpton

et al.

Journal of Transport Geography, Journal Year: 2024, Volume and Issue: 121, P. 104023 - 104023

Published: Nov. 16, 2024

Language: Английский

Citations

0

Light Duty Vehicle Emission Change Drivers: A Case Study of Fujian Province DOI
Jiawei Huang, Yang Zeng, Qingrong Qian

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0

Sustainable transportation emission reduction through intelligent transportation systems: Mitigation drivers, and temporal trends DOI

Zhenyu Jia,

Jiawei Yin,

Zeping Cao

et al.

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 112, P. 107767 - 107767

Published: Dec. 7, 2024

Language: Английский

Citations

0

Comment on egusphere-2024-2791 DOI Creative Commons
Leonardo Hoinaski

Published: Dec. 13, 2024

Abstract. On-road vehicle emissions play a crucial role in affecting fine-scale air quality and exposure equity traffic-dense urban areas. They vary largely both spatial temporal scales due to the complex distribution patterns of types traffic conditions. With deployment cameras big data approaches, we established bottom-up model that employed interpolation obtain spatially continuous on-road emission mapping for main area Jinan, revealing gradients hotspots intuitively. The results show hourly average nitrogen oxides, carbon monoxide, hydrocarbons, fine particulate matters from vehicles Jinan were 345.2, 789.7, 69.5, 5.4 kg, respectively. intensity varied with factor up 3 within 1 km on same road segment. unique further examined through time series clustering hotspot analysis. When coincided peak hours, significantly enhanced, making them key targets pollution control. Based model, predicted benefits electrification reducing could reach 40 %–80 %. Overall, this work provides new methods developing high-resolution inventory areas, offers detailed accurate spatiotemporal variation which are great implications control, management, policy making, public awareness enhancement.

Language: Английский

Citations

0