Investigating the Heterogeneity of NOx-VOCs-Ozone Relationships in Chinese Cities: Systematic Assessment and Spatiotemporal Maps DOI Creative Commons
Yang Guan, Yang Xiao, Bin Li

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 29, 2023

Abstract Ozone is a pollutant threatening the atmospheric environment and public health. Investigating relationship sensitivity between ozone level its precursors, including nitrogen oxides (NO x ) volatile organic compounds (VOC), has been significant basis reference for pollution mitigation. Through mining internal comparability individual data entire dataset, this study develops indexes assessing ozone-NO -VOC while performing case on Chinese cities from 2015 to 2020. From results, (1) ozone-precursor correlation in generally showed increase-decrease trends period significantly correlating aggregating two eastern city groups. (2) Differentiation NO - VOC-limited production regimes located left right sides of Hu Huanyong Line gradually formed over past several years. (3) To effectively efficiently mitigate pollution, reducing emission large scale preventing VOC key urban agglomerations with relatively developed economies aggregated populations recommended. The assessed based quantitative evaluation ozone-VOC correlation, providing novel local-to-global perspective understand contribution precursors pollution.

Language: Английский

Characterization and Source Apportionment Analysis of PM2.5 and Ozone Pollution over Fenwei Plain, China: Insights from PM2.5 Component and VOC Observations DOI Creative Commons
Lichao Xu, Bo Wang, Ying Wang

et al.

Toxics, Journal Year: 2025, Volume and Issue: 13(2), P. 123 - 123

Published: Feb. 6, 2025

PM2.5 and volatile organic compounds (VOCs) have been identified as the primary air pollutants affecting Fenwei Plain (FWP), necessitating urgent measures to improve its quality. To gain a deeper understanding of formation mechanisms these pollutants, this study employed various methods such HYSPLIT, PCT, PMF for analysis. Our results indicate that FWP is primarily impacted by from southern Shaanxi mass northwestern during winter. In contrast, summer, it mainly influenced O3 originating mass. Specifically, high-pressure fronts are dominant weather pattern pollution in FWP, while backs predominately pollution. Regarding sources PM2.5, secondary nitrates, vehicle exhausts, sulfates major contributors. As compounds, liquefied petroleum gas sources, solvent usage, industrial emissions sources. This holds crucial scientific significance enhancing regional joint prevention control mechanism pollution, provides support formulating effective strategies control.

Language: Английский

Citations

2
The various synergistic impacts of precursor emission reduction on PM2.5 and O3 in a typical industrial city with complex distributions of emissions DOI
Min Shao,

Shun Lv,

Yajing Wei

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 940, P. 173497 - 173497

Published: May 31, 2024

Language: Английский

Citations

9
Diagnosing ozone–NOx–VOC–aerosol sensitivity and uncovering causes of urban–nonurban discrepancies in Shandong, China, using transformer-based estimations DOI Creative Commons

Chenliang Tao,

Yanbo Peng,

Qingzhu Zhang

et al.

Atmospheric chemistry and physics, Journal Year: 2024, Volume and Issue: 24(7), P. 4177 - 4192

Published: April 8, 2024

Abstract. Narrowing surface ozone disparities between urban and nonurban areas escalate health risks in densely populated zones. A comprehensive understanding of the impact photochemistry on this transition remains constrained by current knowledge aerosol effects availability monitoring. Here we reconstructed spatiotemporal gapless air quality concentrations using a novel transformer deep learning (DL) framework capable perceiving dynamics to analyze urban–nonurban differences. Subsequently, photochemical effect these discrepancies was analyzed elucidating shifts regimes inferred from an interpretable machine method. The evaluations model exhibited average out-of-sample cross-validation coefficient determination 0.96, 0.92, 0.95 for ozone, nitrogen dioxide, fine particulate matter (PM2.5), respectively. sensitivity areas, dominated nitrogen-oxide-limited (NOx-limited) regime, observed shift towards increased volatile organic compounds (VOCs) when extended areas. third “aerosol-inhibited” regime identified Jiaodong Peninsula, where uptake hydroperoxyl radicals onto aerosols suppressed production under low NOx levels during summertime. reduction PM2.5 could increase VOCs, necessitating more stringent VOC emission abatement mitigation. In 2020, Shandong surpassed those primarily due pronounced decrease latter resulting stronger suppression less PM2.5. This case study demonstrates critical need advanced spatially resolved models analysis tackling pollution challenges.

Language: Английский

Citations

7
Estimation of Soil-Related Parameters Using Airborne-Based Hyperspectral Imagery and Ground Data in the Fenwei Plain, China DOI Creative Commons

Chenchen Jiang,

Huazhong Ren, Zian Wang

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(7), P. 1129 - 1129

Published: March 23, 2024

Hyperspectral remote sensing technology is an advanced and powerful tool that enables fine identification of the numerous soil reflectance spectrum characteristics. Heavy metal(loid)s (HMs) are primary pollutants affecting biodiversity ecosystem services. Estimating HMs’ concentrations in soils using hyperspectral data effective method but challenging due to effects varied properties measurement-related errors inflicted by atmospheric effects. This study focused on typical mining areas Fenwei Plain (FWP), China. Soil-related were collected leveraging airborne- ground-based integrated observations. The eight HMs, namely copper (Cu), lead (Pb), zinc (Zn), nickel (Ni), chromium (Cr), cadmium (Cd), arsenic (As), mercury (Hg), measured laboratory analysis from 100 situ samples. Soil spectra processed based resampling envelope methods. combination datasets optimal used build soil-related parameter retrieval models three machine learning (ML) methods, feasibility applying high-performance model estimate HM was evaluated explored. Spectral results show four hundred twenty-eight bands five wavelength ranges high quality obviously demonstrate spectral characteristics selected models. evaluation subsets methods preprocessing (ground- airborne-based reflectance) samples with random forest (RF) can obtain higher accuracy than support vector (SVM) partial least squares (PLS) denoted as AER-ACS-RF GER-GCS-RF (the average RMSE values HMs 2.61 2.53 mg/kg, respectively). highest R2 observed Cd As, equal value 0.98, followed Pb (R2 = 0.97). relative prediction deviation (RPD) Cu AS greater 1.9. Moreover, presents a good mapping effect about (mg/kg) areas, ranging 21.65 31.25 16.38 30.45 62.02 109.48 23.33 32.47 49.81 66.56 0.09 0.23 7.31 12.24 0.03 0.17 respectively.

Language: Английский

Citations

2
Evidence for sustainably reducing secondary pollutants in a typical industrial city in China: Co-benefit from controlling sources with high reduction potential beyond industrial process DOI

Yueyuan Niu,

Yulong Yan,

Jiaqi Dong

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 478, P. 135556 - 135556

Published: Aug. 22, 2024

Language: Английский

Citations

2
Reduction in vehicular emissions attributable to the Covid-19 lockdown in Shanghai: insights from 5 years of monitoring-based machine learning DOI Creative Commons
Meng Wang, Yusen Duan, Zhuozhi Zhang

et al.

Atmospheric chemistry and physics, Journal Year: 2023, Volume and Issue: 23(18), P. 10313 - 10324

Published: Sept. 15, 2023

Abstract. Exposure to elemental carbon (EC) and NOx is a public health issue that has been gaining increasing interest, with high exposure levels generally observed in traffic environments, e.g., roadsides. Shanghai, home approximately 25 million the Yangtze River Delta (YRD) region eastern China, one of most intensive activity world. However, our understanding trend vehicular emissions and, particular, response strict Covid-19 lockdown limited partly due lack long-term observation dataset application advanced mathematical models. In this study, EC were continuously monitored at sampling site near highway western Shanghai for 5 years (2016–2020). The was used train machine learning model, rebuilding business-as-usual (BAU) scenario 2020. reduction attributable found be smaller than it appeared because first week overlapped Lunar New Year holiday, whereas, later stage lockdown, (50 %–70 %) more significant, consistent satellite monitoring NO2 showing reduced on regional scale. contrast, impact cannot represented well by simply comparing concentration before during conventional campaigns. This study demonstrates value continuous air pollutant roadside basis. Combined quality changes future emission control and/or event-driven scenarios are expected better predicted.

Language: Английский

Citations

4
Influence of ozone pollution on the mixing state and formation of oxygenated organics containing single particles DOI

Sulin Liu,

Suxia Yang,

Duanying Chen

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 926, P. 171880 - 171880

Published: March 26, 2024

Language: Английский

Citations

1
MAX-DOAS observations of pollutant distribution and transboundary transport in typical regions of China DOI
Hongmei Ren, Ang Li, Zhaokun Hu

et al.

Journal of Environmental Sciences, Journal Year: 2024, Volume and Issue: 151, P. 652 - 666

Published: April 26, 2024

Language: Английский

Citations

1
Evaluating Long-Term Reductions in Trace Metal Emissions from Shipping in Shanghai DOI
Meng Wang, Yusen Duan, Juntao Huo

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 480, P. 136367 - 136367

Published: Oct. 31, 2024

Language: Английский

Citations

1
Research Progress of Collaborative Control Strategies for PM<sub>2.5</sub> and O<sub>3</sub> in Atmospheric Environment DOI

在平 刘

Advances in Environmental Protection, Journal Year: 2024, Volume and Issue: 14(03), P. 407 - 413

Published: Jan. 1, 2024

Language: Английский

Citations

0