Atmospheric oxidation capacity and ozone pollution mechanism in a coastal city of southeastern China: analysis of a typical photochemical episode by an observation-based model

Atmospheric chemistry and physics, Journal Year: 2022, Volume and Issue: 22(3), P. 2173 - 2190

Published: Feb. 16, 2022

Abstract. A typical multi-day ozone (O3) pollution event was chosen to explore the atmospheric oxidation capacity (AOC), OH reactivity, radical chemistry, and O3 mechanism in a coastal city of southeastern China, with an observation-based model coupled Master Chemical Mechanism (OBM-MCM). The hydroxyl (OH) predominant oxidant (90 ± 25 %) for daytime AOC, while NO3 played important role AOC during nighttime (72 9 %). Oxygenated volatile organic compounds (OVOCs; 30 8 %), NO2 (29 CO (25 5 were dominant contributors accelerating production recycling ROx radicals (ROx = + HO2 RO2). Photolysis nitrous acid (HONO, 33 14 13 formaldehyde (HCHO, 20 other OVOCs (17 2 major source, which initiation processes. Combined regional transport analysis, reasons this episode accumulation local photochemical transport. results sensitivity analysis showed that (VOCs) limiting factor formation, % reduction would be achieved by decreasing anthropogenic VOCs. Controlling emissions aromatics, alkenes, alkanes ≥4 carbons beneficial mitigation. findings study provide significant guidance emission collaboration future control relatively clean cities China similar countries.

Language: Английский

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The effect of COVID-19 pandemic on human mobility and ambient air quality around the world: A systematic review

Urban Climate, Journal Year: 2021, Volume and Issue: 38, P. 100888 - 100888

Published: June 18, 2021

Language: Английский

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A state of health estimation framework based on real-world electric vehicles operating data

Journal of Energy Storage, Journal Year: 2023, Volume and Issue: 63, P. 107031 - 107031

Published: March 14, 2023

Language: Английский

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COVID-19 pandemic, port congestion, and air quality: Evidence from China

Ocean & Coastal Management, Journal Year: 2023, Volume and Issue: 235, P. 106497 - 106497

Published: Jan. 18, 2023

Language: Английский

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Configuration characteristics of green-blue spaces for efficient cooling in urban environments

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 100, P. 105040 - 105040

Published: Nov. 6, 2023

Language: Английский

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Quantification of COVID-19 impacts on NO2 and O3: Systematic model selection and hyperparameter optimization on AI-based meteorological-normalization methods

Atmospheric Environment, Journal Year: 2023, Volume and Issue: 301, P. 119677 - 119677

Published: Feb. 27, 2023

Language: Английский

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Applications of artificial intelligence in the field of air pollution: A bibliometric analysis

Frontiers in Public Health, Journal Year: 2022, Volume and Issue: 10

Published: Sept. 7, 2022

Background Artificial intelligence (AI) has become widely used in a variety of fields, including disease prediction, environmental monitoring, and pollutant prediction. In recent years, there also been an increase the volume research into application AI to air pollution. This study aims explore latest trends field Methods All literature on pollution was searched from Web Science database. CiteSpace 5.8.R1 analyze countries/regions, institutions, authors, keywords references cited, reveal hot spots frontiers atmospheric Results Beginning 1994, publications have increased number, with surge since 2017. The leading country institution were China ( N = 524) Chinese Academy Sciences 58), followed by United States 455) Tsinghua University 33), respectively. addition, (0.24) England (0.27) showed high degree centrality. Most identified articles published journals related science; most cited journal Atmospheric Environment , which reached nearly 1,000 citations. There few collaborations among institutions countries. topics machine learning, deep learning. majority researchers concentrated concentration particularly combined use science methods, low-cost quality sensors, indoor quality, thermal comfort. Conclusion Researches are expanding rapidly years. scholars States, is dominant institution. contribute greatly development cooperation network. Cooperation appears be suboptimal, strengthening could benefit this research. prediction concentrations, PM 2.5 comfort current hotspot.

Language: Английский

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Seasonal characteristics of atmospheric peroxyacetyl nitrate (PAN) in a coastal city of Southeast China: Explanatory factors and photochemical effects

Atmospheric chemistry and physics, Journal Year: 2022, Volume and Issue: 22(7), P. 4339 - 4353

Published: April 5, 2022

Abstract. Peroxyacetyl nitrate (PAN) acting as a typical indicator of photochemical pollution can redistribute NOx and modulate O3 production. Coupled with the observation-based model (OBM) generalized additive (GAM), intensive observation campaigns were conducted to reveal characteristics PAN its impact on O3, contributions influencing factors formation also quantified in this paper. The F values GAM results reflecting importance showed that ultraviolet radiation (UV; value = 60.64), Ox (Ox NO2 + 57.65), air temperature (T, 17.55) main contributors spring, while significant effects (58.45), total VOCs (TVOCs, 21.63), T (20.46) found autumn. rate autumn was 1.58 times higher than relating intense reaction meteorological conditions. Model simulations revealed acetaldehyde oxidation (46 %±4 %) contributed dominant pathway PA (hence PAN), followed by methylglyoxal (28 %±3 radical cycling (19 %). highly VOC sensitive, surplus (compared abundance) prevented from being limiting factor secondary pollution. At our site, promoted inhibited under high low ROx levels, respectively. promoting mainly occurred during periods 11:00–16:00 (local time) when favourable conditions (high UV T) stimulated reactions offer radicals, which accounted for 17 % whole monitoring spring 31 analysis mechanism positive or negative effect ozone provided scientific insights into mechanisms various scenarios coastal areas.

Language: Английский

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Evaluation of Long-Term Modeling Fine Particulate Matter and Ozone in China During 2013–2019

Frontiers in Environmental Science, Journal Year: 2022, Volume and Issue: 10

Published: April 25, 2022

Air quality in China has been undergoing significant changes due to the implementation of extensive emission control measures since 2013. Many observational and modeling studies investigated formation mechanisms fine particulate matter (PM 2.5 ) ozone (O 3 pollution major regions China. To improve understanding driving forces for PM O China, a nationwide air study was conducted from 2013 2019 using Weather Research Forecasting/Community Multiscale Quality (WRF/CMAQ) system. In this study, model predictions were evaluated observation data key pollutants including , sulfur dioxide (SO 2 ), nitrogen (NO its components. The evaluation mainly focused on five regions, that is North Plain (NCP), Yangtze River Delta (YRD), Pearl (PRD), Chengyu Basin (CY), Fenwei (FW). CMAQ successfully reproduced all with performance indices meeting suggested benchmarks. However, over-prediction noted CY. NO 3, well simulated north compared south. Nitrate − ammonium (NH 4 + most important components heavily polluted regions. For different levels, generally over-predicted clean days but underpredicted days. found increasing each year, while other gradually reduced during 2013–2019 across except PRD (all seasons) YRD (spring summer), correlations between negative four seasons. Low-to-medium strong positive established SO seasons This validates ability simulating over long period provides insights designing effective strategies

Language: Английский

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Assessing the ambient air quality patterns associated to the COVID-19 outbreak in the Yangtze River Delta: A random forest approach

Chemosphere, Journal Year: 2022, Volume and Issue: 314, P. 137638 - 137638

Published: Dec. 21, 2022

Language: Английский

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