Multi-routine-data driven spatio-temporal short-term predictions for surface ozone in China DOI

C. X. Zheng,

Hengqing Shen, Jianan Sun

et al.

Air Quality Atmosphere & Health, Journal Year: 2025, Volume and Issue: unknown

Published: May 14, 2025

Language: Английский

Temperature-Dependent Evaporative Anthropogenic VOC Emissions Significantly Exacerbate Regional Ozone Pollution DOI Creative Commons
Wenlu Wu, Tzung‐May Fu, S. R. Arnold

et al.

Environmental Science & Technology, Journal Year: 2024, Volume and Issue: 58(12), P. 5430 - 5441

Published: March 12, 2024

The evaporative emissions of anthropogenic volatile organic compounds (AVOCs) are sensitive to ambient temperature. This sensitivity forms an air pollution-meteorology connection that has not been assessed on a regional scale. We parametrized the temperature dependence AVOC fluxes in quality model and evaluated impacts surface ozone Beijing–Tianjin–Hebei (BTH) area China during summer 2017. dependency drove enhanced simulated ozone-temperature 1.0 1.8 μg m–3 K–1, comparable driven by biogenic VOC (1.7 2.4 K–1). Ozone enhancements temperature-induced increases were localized their point emission relatively more important urban areas than rural regions. inclusion temperature-dependent our improved sensitivities days exceedance. Our results demonstrated importance pollution its heretofore unrepresented role pollution–meteorology interactions.

Language: Английский

Citations

24

Comparison of the ozone formation mechanisms and VOCs apportionment in different ozone pollution episodes in urban Beijing in 2019 and 2020: Insights for ozone pollution control strategies DOI
Yunfeng Li, Zhenhai Wu, Yuanyuan Ji

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 908, P. 168332 - 168332

Published: Nov. 8, 2023

Language: Английский

Citations

23

BVOCs' role in dynamic shifts of summer ozone formation regimes across China and policy implications DOI
Chao Gao, Xuelei Zhang,

Xiaoxiu Lun

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 376, P. 124150 - 124150

Published: Feb. 18, 2025

Language: Английский

Citations

1

Uncovering Key Sources of Regional Ozone Simulation Biases Using Machine Learning and SHAP Analysis DOI
Xin Yuan, X. Y. Hong, Zhijiong Huang

et al.

Environmental Pollution, Journal Year: 2025, Volume and Issue: 372, P. 126012 - 126012

Published: March 6, 2025

Language: Английский

Citations

1

Machine learning assesses drivers of PM2.5 air pollution trend in the Tibetan Plateau from 2015 to 2022 DOI
Binqian Zhang, Yunjiang Zhang, Kexin Zhang

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 878, P. 163189 - 163189

Published: March 31, 2023

Language: Английский

Citations

21

A quantitative assessment and process analysis of the contribution from meteorological conditions in an O3 pollution episode in Guangzhou, China DOI
Yifei Xu, Ao Shen, Yinbao Jin

et al.

Atmospheric Environment, Journal Year: 2023, Volume and Issue: 303, P. 119757 - 119757

Published: April 5, 2023

Language: Английский

Citations

21

Recommendations on benchmarks for photochemical air quality model applications in China — NO2, SO2, CO and PM10 DOI

Hehe Zhai,

Ling Huang,

Chris Emery

et al.

Atmospheric Environment, Journal Year: 2023, Volume and Issue: 319, P. 120290 - 120290

Published: Dec. 13, 2023

Language: Английский

Citations

17

Nighttime ozone in the lower boundary layer: insights from 3-year tower-based measurements in South China and regional air quality modeling DOI Creative Commons
Guowen He, Cheng He, Haofan Wang

et al.

Atmospheric chemistry and physics, Journal Year: 2023, Volume and Issue: 23(20), P. 13107 - 13124

Published: Oct. 18, 2023

Abstract. Nighttime ozone in the lower boundary layer regulates atmospheric chemistry and surface air quality, but our understanding of its vertical structure impact is largely limited by extreme sparsity direct measurements. Here we present 3-year (2017–2019) measurements (up to 500 m) from Canton Tower Guangzhou, core megacity South China, interpret with a 1-month high-resolution chemical simulation Community Multiscale Air Quality (CMAQ) model. Measurements are available at 10, 118, 168, 488 m, highest (488 measurement platform higher than typical height nighttime stable that allows residual (RL). We find increases altitude throughout day, gradient between 10 m heights (ΔO3/ΔH10–488 3.6–6.4 ppbv hm−1 4.4–5.8 daytime. identify high ratio, defined as ratio concentration averaged over afternoon (14:00–17:00 LT), 69 %–90 % January, April, October, remarkably other three layers (29 %–51 %). Ozone convective mixing provides source RL, strong temperature inversion facilitates ability RL store daytime layer. The tower-based also indicates Ox (Ox= O3+NO2) level can be an effective indicator if not available. further significant influences nocturnal on both following day's quality. During enhancement (NOE) event, observe decrease increase NO2 CO height, contrast their changes surface, feature enhanced mixing. leads NOE event introducing ozone-rich NOx-poor into enter CMAQ model simulations demonstrate positive contribution diffusion (ΔVDIF) 118 negative 168 during event. correlation maximum daily 8 h average (MDA8) ozone. This tied collapse development layer, which supported diagnosis budget, suggesting downward via entrainment important mechanism for aggravating pollution day. bias CMAQ-simulated MDA8 day shows coefficient (r= 0.74) highlighting necessity correct quality accurate prediction Our study thus highlights value long-term coupling dynamics.

Language: Английский

Citations

16

Changing Responses of PM2.5 and Ozone to Source Emissions in the Yangtze River Delta Using the Adjoint Model DOI
Weiyang Hu, Yu Zhao, Ni Lu

et al.

Environmental Science & Technology, Journal Year: 2023, Volume and Issue: 58(1), P. 628 - 638

Published: Dec. 28, 2023

China's industrial restructuring and pollution controls have altered the contributions of individual sources to varying air quality over past decade. We used GEOS-Chem adjoint model investigated changing sensitivities PM2.5 ozone (O3) multiple species from 2010 2020 in central Yangtze River Delta (YRDC), largest economic region China. Controlling primary particles SO2 residential sectors dominated decline, reducing CO ≥C3 alkenes vehicles restrained O3. The chemical regime O3 formation became less VOC-limited, attributable continuous NOX abatement for specific sources, including power plants, combustion, cement production, off-road traffic. Regional transport was found be increasingly influential on PM2.5. To further improve quality, management agricultural activities reduce NH3 is essential alleviating pollution, while controlling aromatics, alkenes, alkanes industry gasoline effective Reducing level nearby combustion transportation helpful both species. Our findings reveal complexity coordinating control a fast-developing support science-based policymaking other regions with similar problems.

Language: Английский

Citations

16

Large contributions of soil emissions to the atmospheric nitrogen budget and their impacts on air quality and temperature rise in North China DOI Creative Commons
Tong Sha, Siyu Yang, Qingcai Chen

et al.

Atmospheric chemistry and physics, Journal Year: 2024, Volume and Issue: 24(14), P. 8441 - 8455

Published: July 26, 2024

Abstract. Soil emissions of nitrogen compounds, including NO and HONO, play a significant role in the atmospheric budget. However, HONO has been overlooked previous research on soil reactive (Nr) their impacts air quality China. This study estimates NOx (SNOx SHONO) North China during July 2018 using an updated Nr scheme chemical transport model, Unified Inputs (initial boundary conditions) for Weather Research Forecasting coupled with Chemistry (UI-WRF-Chem). The effects O3 pollution, temperature rise are also studied, focus two key regions, Beijing–Tianjin–Hebei (BTH) Fenwei Plain (FWP), known high anthropogenic emissions. We find that flux SNOx is nearly double SHONO. monthly contributions SHONO account, respectively, 37.3 % 13.5 BTH 29.2 19.2 FWP 2018. have impact surface nitrate, exceeding or alone. On average, increase maximum daily 8 h (MDA8) by 16.9 nitrate concentrations 42.4 BTH, they MDA8 17.2 42.7 FWP. Reducing leads to more substantial suppressive effect mitigation, particularly BTH. emissions, through as precursors secondary inorganic aerosols, can result slower rate future reduction scenarios. suggests mitigating pollution addressing climate change should consider regional differences.

Language: Английский

Citations

5