Impacts of transportation emissions on horizontal and vertical distributions of air pollutants in Shanghai: insights from emission reduction in COVID-19 lockdown DOI Creative Commons
Yuxing Chen, Yan Zhang,

Guangyuan Yu

et al.

Atmospheric Environment X, Journal Year: 2024, Volume and Issue: 22, P. 100267 - 100267

Published: April 1, 2024

Transportation is a major sector of anthropogenic emissions in urban areas and deteriorates air quality. The surface vertical observational data were combined with the model results to reveal its impact on horizontal variations pollutants during COVID-19 lockdown period. evident reductions ambient PM2.5 (∼30%) NO2 (∼50%) concentrations but ∼25% increase O3 concentration observed at transportation sites. On scale, uniform decrease ∼28% was within 600 m. However, profiles exhibited increasing variation rates varying significantly 400 Meanwhile, Ox shared similar pattern profile O3, (∼5%) m area. WRF-CMAQ reproduced variations, revealed that reduction key factor contributing due weakened NO titration effect. simulated featured by decreasing curve, while opposite trend. We find most process analysis transport from bay contributed area, chemical processes mainly consumed it. consumption resulted accumulation rush hours night. planetary boundary layer height also favored rise promoting daytime trapping it NOx enhanced pollution, suggesting collaborative VOCs multiple sectors should be conducted. This study indicated regional collaborations emission necessary for comprehensive pollution prevention.

Language: Английский

Spatiotemporal Air Pollution Forecasting in Houston-TX: A Case Study for Ozone Using Deep Graph Neural Networks DOI Creative Commons
Victor Oliveira Santos, Paulo Alexandre Costa Rocha,

John Scott

et al.

Atmosphere, Journal Year: 2023, Volume and Issue: 14(2), P. 308 - 308

Published: Feb. 3, 2023

The presence of pollutants in our atmosphere has become one humanity’s greatest challenges. These pollutants, produced primarily by burning fossil fuels, are detrimental to human health, climate and agriculture. This work proposes the use a spatiotemporal graph neural network, designed forecast ozone concentration based on GraphSAGE paradigm, aid understanding dynamic nature these pollutants’ production proliferation urban areas. model was trained tested using data from Houston, Texas, United States, with varying numbers time-lags, horizons (1, 3, 6 h ahead), input nearby stations. results show that proposed GNN-SAGE successfully recognized patterns underlying data, bolstering its forecasting performance when compared benchmarking persistence 33.7%, 48.7% 57.1% for 1, 3 horizons, respectively. produces error levels lower than we could find existing literature. conclusions drawn variable importance SHAP analysis also revealed predicting ozone, solar radiation becomes relevant as time horizon is raised. According EPA regulation, determined nonattainment conditions reference station.

Language: Английский

Citations

32

Fundamentals of low-cost aerosol sensor design and operation DOI Open Access

James R. Ouimette,

W. P. Arnott, Philip Laven

et al.

Aerosol Science and Technology, Journal Year: 2023, Volume and Issue: 58(1), P. 1 - 15

Published: Nov. 20, 2023

Most evaluations of low-cost aerosol sensors have focused on their measurement bias compared to regulatory monitors. Few applied fundamental principles science increase our understanding how such work and could be improved. We examined the Plantower PMS5003 sensor's internal geometry, laser properties, photodiode responses, microprocessor output, flow rates, response mono- poly-disperse aerosols. developed a physics-based model particle light scattering within sensor, which we used predict counting sizing efficiency for 0.30 10 µm particles. found that counts single events, acting like an imperfect optical counter, rather than nephelometer. As is not into core beam, >99% particles through miss laser, those intercept usually focal point are subsequently undersized, resulting in erroneous size distribution data. Our predictions varying diameters, compositions, relative humidity were consistent with laboratory Computational fluid dynamics simulations PurpleAir monitor housing showed wind-speeds less 3 m s−1, fine coarse representatively aspired inlet. measurements models explain why overstates PM2.5 some locations but others; PM10 unresponsive windblown dust; it reports similar as does smoke ambient background aerosol.

Language: Английский

Citations

23

Vertical distribution and transport of microplastics in the urban atmosphere: New insights from field observations DOI
Zhen Yuan,

Chenglei Pei,

Heng-Xiang Li

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 895, P. 165190 - 165190

Published: June 28, 2023

Language: Английский

Citations

18

DeepSAT4D: Deep learning empowers four-dimensional atmospheric chemical concentration and emission retrieval from satellite DOI Creative Commons
Siwei Li, Jia Xing

The Innovation Geoscience, Journal Year: 2024, Volume and Issue: 2(1), P. 100061 - 100061

Published: Jan. 1, 2024

<p>Accurate measurement of atmospheric chemicals is essential for understanding their impact on human health, climate, and ecosystems. Satellites provide a unique advantage by capturing data across the entire atmosphere, but measurements often lack vertical details. Here, we introduce DeepSAT4D, an innovative method that efficiently reconstructs 4D chemical concentrations from satellite data. It achieves this regenerating dynamic evolution structure, intricately linked to complex processes such as plume rise transport, using advanced deep learning techniques. Its application with Ozone Monitoring Instrument - Nitrogen Dioxide, commonly used product, demonstrates good agreement ground-based monitoring sites in China 2017 2021. Additionally, DeepSAT4D successfully captures emission reductions during 2020-pandemic shutdown. These findings emphasize DeepSAT4D��s potential enhance our complete composition improved assessments its health Earth��s ecosystem future.</p>

Language: Английский

Citations

8

Mitigating PM2.5 exposure with vegetation barrier and building designs in urban open-road environments based on numerical simulations DOI Open Access
Jingli Yan, Wendy Y. Chen,

Z Zhang

et al.

Landscape and Urban Planning, Journal Year: 2023, Volume and Issue: 241, P. 104918 - 104918

Published: Oct. 4, 2023

Language: Английский

Citations

16

The visible light photocatalytic performance of g-C3N4 is regulated by the Brønsted acid site on the mullite surface DOI

Chenyang Xiao,

Guohui Dong,

Tingan Yao

et al.

Applied Surface Science, Journal Year: 2024, Volume and Issue: 654, P. 159453 - 159453

Published: Jan. 23, 2024

Language: Английский

Citations

5

Elucidating key factors in regulating budgets of ozone and its precursors in atmospheric boundary layer DOI Creative Commons
Xin Song, Xiaobing Li, Bin Yuan

et al.

npj Climate and Atmospheric Science, Journal Year: 2024, Volume and Issue: 7(1)

Published: Oct. 28, 2024

The vertical variations and key drivers of ozone its precursors, namely NOx VOCs, in the atmospheric boundary layer, have vital impacts on surface budgets but are poorly understood so far. Using online gradient measurements from a 356 m tower, we obtained continuous profiles which exhibited strong gradients throughout day. In daytime, precursors significantly regulated by reactions with OH radicals. At night, our observations confirmed more intense VOC NO3 radicals residual layer than layer. Additionally, found that entrainment could contribute to over half boundary-layer enhancements morning periods. Our results underscore importance considering changes when developing future mitigation strategies.

Language: Английский

Citations

5

Air Quality Monitoring with Low-Cost Sensors: A Record of the Increase of PM2.5 during Christmas and New Year’s Eve Celebrations in the City of Queretaro, Mexico DOI Creative Commons
Alejandro Rodríguez, Harald Böhnel,

Héctor E. Ibarra-Ortega

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(8), P. 879 - 879

Published: July 24, 2024

The high concentrations of particulate matter (PM) in the atmosphere have adverse effects on both environment and human health, as well urban faunal biodiversity. Short-term events, such burning fireworks, attributable to activity, result a significant rapid increase PM concentration levels within atmosphere. We present findings derived from observations made using low-cost sensors deployed part Environmental Monitoring Network Querétaro, Mexico. These utilize Geo Stations (EMGA) device, developed by Institute Geosciences at UNAM. observation period spanned 10 December 2023 January 2024, encompassed Christmas New Year holidays, focused PM2.5 concentrations, comparison with similar February 2024 March considered typical activity area. results reveal two substantial increases (from less than 50 µg/m3 more 340 µg/m3) over time spatial distribution during this period, notable observed festive season coincident celebrations. Specifically, prolonged periods exceeding up 6 h were noted festivity days. This research offers insight into effects, trends, spatial–temporal pollutants city Queretaro, which may be used reference for other cities around world.

Language: Английский

Citations

4

Three-dimensional spatiotemporal variability of CO2 in suburban and urban areas of Shaoxing City in the Yangtze River Delta, China DOI

Zhentao Wu,

Xiaobing Pang,

Bo Xing

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 881, P. 163501 - 163501

Published: April 17, 2023

Language: Английский

Citations

11

Vertical Profiles of PM2.5 and O3 Measured Using an Unmanned Aerial Vehicle (UAV) and Their Relationships with Synoptic- and Local-Scale Air Movements DOI Creative Commons

Hyemin Hwang,

Ju Eun Lee,

Seung A. Shin

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(9), P. 1581 - 1581

Published: April 29, 2024

The vertical air pollutant concentrations and their relationships with synoptic- local-scale movement have been studied. This study measured the profiles of PM2.5 O3 using an unmanned aerial vehicle during summer in South Korea analyzed characteristics profiles. To understand impact synoptic movements, we generated categorized 48 h trajectories based on HYSPLIT, how varied under different categories long-range transport. We found that concentration has a positive gradient altitude when more polluted was transported from China or North negative cleaner East Sea. Unlike PM2.5, did not depend significantly transport scenario because short photochemical lifetime summer. For no significant local wind

Language: Английский

Citations

4