The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 951, P. 175808 - 175808
Published: Aug. 26, 2024
Language: Английский
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 951, P. 175808 - 175808
Published: Aug. 26, 2024
Language: Английский
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 However, studies specific city-level vehicle emission inventories are still scarce and tend be outdated.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
3Environmental 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
3Environmental 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
0Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 16, 2024
Language: Английский
Citations
2Atmospheric Pollution Research, Journal Year: 2024, Volume and Issue: 15(11), P. 102265 - 102265
Published: July 24, 2024
Language: Английский
Citations
0Heliyon, Journal Year: 2024, Volume and Issue: unknown, P. e37903 - e37903
Published: Sept. 1, 2024
Language: Английский
Citations
0Journal of Transport Geography, Journal Year: 2024, Volume and Issue: 121, P. 104023 - 104023
Published: Nov. 16, 2024
Language: Английский
Citations
0Published: Jan. 1, 2024
Language: Английский
Citations
0Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 112, P. 107767 - 107767
Published: Dec. 7, 2024
Language: Английский
Citations
0Published: 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