Comment on gmd-2023-22 DOI Creative Commons
Juan Antonio Añel

Published: June 15, 2023

Abstract. A comprehensive understanding of the effects meteorology, emissions, and chemistry on severe haze is critical in mitigation air pollution. However, such an greatly hindered by nonlinearity atmospheric systems. In this study, we developed quantitative decoupling analysis (QDA) method to quantify chemical reactions, their nonlinear interactions fine particulate matter (PM2.5) pollution running built-in scenario simulations each model step. Different from previous methods, QDA achieves a fully decomposed hourly changes PM2.5 concentration during events into seven parts, including pure meteorological contribution (M), emissions (E), (C), among these processes (i.e., ME, MC, EC, MCE). Via embedding Weather Research Forecasting–Nested Air Quality Prediction Modeling System, employed combined it with Integrated Process Rate study typical heavy episode Beijing. We evaluate performance against in situ quality observations describe analytical factors case. Results showed that M varied most significantly at different stages episode, 0.21 µg⋅m−3⋅h−1 accumulation stage −11.82 removal stage, indicating dominated fluctuation amplitude concentration. acted as important cleaner for non-polluting periods but stopped being effective instead became contributor tended grow rapidly under superimposed influence processes, which would probably mark beginning event. The E ranged 0.63 0.88 owing diurnal variation emissions. was shown increase level haze, becoming largest (0.37 µg⋅m−3⋅h−1) maintenance period, 25 % higher than pre-contamination period. And C+CE made significant stages, reactions are more polluted period other periods. Nonnegligible exist concentrations (−1.83 2.44 – something has generally been ignored studies development heavy-pollution control strategies. helpful eliminating interference obtaining purified result target process have indicative significances. ratio CE C positively correlated speed. For precursors like NH3, smaller value indicated NH3 deficient, thus reducing had efficient controlling effect PM2.5. This highlights can be used realize in-depth adverse conditions judge whether excessive or not. Not only provide researchers policymakers valuable information key behind pollution, also help modelers identify sources uncertainties numerical models.

Language: Английский

Spatiotemporal analysis of COVID-19, air pollution, climate, and meteorological conditions in a metropolitan region of Iran DOI Creative Commons
Malihe Moazeni, Mohammad Reza Maracy, Bahare Dehdashti

et al.

Environmental Science and Pollution Research, Journal Year: 2021, Volume and Issue: 29(17), P. 24911 - 24924

Published: Nov. 26, 2021

Language: Английский

Citations

15
Biological effects of particulate matter samples during the COVID-19 pandemic: a comparison with the pre-lockdown period in Northwest Italy DOI Creative Commons
Marta Gea, Manuela Macrì,

Daniele Marangon

et al.

Air Quality Atmosphere & Health, Journal Year: 2023, Volume and Issue: 16(9), P. 1931 - 1946

Published: June 6, 2023

In 2020, during the COVID-19 pandemic, containment measures were applied inducing potential changes in air pollutant concentrations and thus toxicity. This study evaluates role of restrictions on biological effects particulate matter (PM) different Northwest Italy sites: urban background, traffic, rural, incinerator. Daily PM samples collected 2020 pooled according to restrictions: January/February (no restrictions), March April (first lockdown), May/June July/August/September (low October/November/December (second lockdown). The 2019 (pre-pandemic period) as for comparison. Pools extracted with organic solvents extracts tested assess cytotoxicity (WST-1 assay) genotoxicity (comet BEAS-2B cells, mutagenicity (Ames test) TA98 TA100 Salmonella typhimurium strains, estrogenic activity (gene reporter MELN cells. Pollutant also analyzed (PM10, PM2.5, polycyclic aromatic hydrocarbons). No difference was observed hydrocarbon between 2019. During lockdown months (2020), cytotoxicity/genotoxicity significantly lower some sites than 2019, while considering mutagenicity/estrogenic differences detected but without statistical significance. extract decreased 2020; this may be due lockdowns that reduced/modified emissions related complex origin/formation meteorological conditions. conclusion, confirms cannot assessed only concentration suggests include a battery bioassay quality monitoring order protect human health from pollution effects. online version contains supplementary material available at 10.1007/s11869-023-01381-6.

Language: Английский

Citations

4
Contamination profiles and potential health risks of environmentally persistent free radicals in PM2.5 over typical central Chinese megacity DOI Creative Commons

Qingyun He,

Wuduo Zhao,

Peiru Luo

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2023, Volume and Issue: 264, P. 115437 - 115437

Published: Sept. 9, 2023

As one of the most important transportation hubs and industrial bases in China, Zhengzhou has suffered from serious PM2.5 pollution for a long time. However, investigation contamination status possible exposure risks environmentally persistent free radicals (EPFRs) is rare. In this work, comprehensive study levels, seasonal variations, sources, potential health PM2.5-bound EPFRs was conducted first The atmospheric concentrations ranged 1.732 × 1012 spin m-3 to 7.182 1014 between 2019 2020. Relatively noticed winter spring. Primary fossil fuel combustion Fe-mediated secondary formation were apportioned as sources Zhengzhou. Moreover, avert bias toxicity assessment induced by utilization incompletely extracted sample filter, simulatively generated applied toxicological evaluations (cell viability reactive oxygen species assays). Corresponding experimental dosages based on estimated adults' annual amounts real samples. results elucidated that might cause growth inhibition oxidative stress human lung cells, suggesting exposure-induced concerns local people This provides practical information Zhengzhou, which favorable air control reduction public central China.

Language: Английский

Citations

4
Haze caused by NO oxidation under restricted residential and industrial activities in a mega city in the south of North China Plain DOI
Qingxia Ma, Weisi Wang, Yunfei Wu

et al.

Chemosphere, Journal Year: 2022, Volume and Issue: 305, P. 135489 - 135489

Published: June 29, 2022

Language: Английский

Citations

7
Quantitative Decoupling Analysis for Assessing the Meteorological, Emission, and Chemical Influences on Fine Particle Pollution DOI Creative Commons
Junhua Wang, Baozhu Ge, Lei Kong

et al.

Journal of Advances in Modeling Earth Systems, Journal Year: 2024, Volume and Issue: 16(11)

Published: Nov. 1, 2024

Abstract A comprehensive understanding of meteorological, emission and chemical influences on severe haze is essential for air pollution mitigation. However, the nonlinearity atmospheric system greatly hinders this understanding. In study, we developed quantitative decoupling analysis (QDA) method by applying Factor Separation (FS) into model processes to quantify effects emissions (E), meteorology (M), reactions (C), their nonlinear interactions impact fine particulate matter (PM 2.5 ) pollution. Taking a heavy‐haze episode in Beijing as an example, show that different from integrated process rate (IPR) scenario approach (SAA) previous studies, QDA explicitly demonstrate decomposing variation PM concentration individual contributions E , M C terms well among these processes. Results showed dominated hourly fluctuation concentration. The increase with increasing level haze, reaching maximum (0.37 μg m −3 h −1 at maintenance stage. Moreover, our reveals there are non‐negligible non‐linear emission, during stage, mean accounting 50% concentrations, which often ignored current control strategies. This study highlights can be used gain insight formation heavy pollution, identify uncertainty numerical models.

Language: Английский

Citations

1
Air Pollutants and CO2 Emissions in Industrial Parks and Evaluation of Their Green Upgrade on Regional Air Quality Improvement: A Case Study of Seven Cities in Henan Province DOI Creative Commons

Wanting Hei,

Xiao Li,

Gengyu Gao

et al.

Atmosphere, Journal Year: 2022, Volume and Issue: 13(3), P. 383 - 383

Published: Feb. 24, 2022

Although central to the promotion of regional economic development, industrial parks discharge large quantities air pollutants and CO2, counter goals quality improvement CO2 reductions in China. In this study, 13 seven cities Henan Province were chosen evaluate their emission 2017, reduction potential under different green measures, improvements a Green Upgrade scenario. The results show that: (1) total emissions SO2, NOx, CO, PM10, PM2.5, VOCs 43, 39, 351, 19, 7, 18, 2 kt 36 Mt, would decrease by 72, 56, 30, 26, 77 30%, respectively, (2) process was major source NH3, whereas power plants largest SO2 they be reduced 93, 59, 94, 91, 23 28%, (3) terminal energy use sector (including boilers sources) main accounting for 75% emissions, 76% (4) WRF-CMAQ simulation that, scenario, concentration PM2.5 transmission channel city improved 1–36 μg/m3, with an annual average value 9 μg/m3. Our demonstrate significant effect synergistic using Technologies subsequent quality.

Language: Английский

Citations

6
Influencing factors and trend prediction of PM2.5 concentration based on STRIPAT-Scenario analysis in Zhejiang Province, China DOI Open Access
Qiong Zhang,

Shuangshuang Ye,

Tiancheng Ma

et al.

Environment Development and Sustainability, Journal Year: 2022, Volume and Issue: 25(12), P. 14411 - 14435

Published: Sept. 15, 2022

Language: Английский

Citations

5
Spatiotemporal cluster analysis of COVID-19 and its relationship with environmental factors at the city level in mainland China DOI Creative Commons

Shuqin Yang,

Zheng-gang Fang,

Cai-Xia Lv

et al.

Environmental Science and Pollution Research, Journal Year: 2021, Volume and Issue: 29(9), P. 13386 - 13395

Published: Sept. 30, 2021

Language: Английский

Citations

7
Estimating Oxidation Rates of NOX and SO2 Released from Domestic Emission Sources in South Korea DOI
Yoon‐Hee Kang, Soontae Kim

Journal of Korean Society for Atmospheric Environment, Journal Year: 2022, Volume and Issue: 38(5), P. 716 - 733

Published: Oct. 26, 2022

Language: Английский

Citations

4
Assessment of the sensitivity of model responses to urban emission changes in support of emission reduction strategies DOI Creative Commons
Bertrand Bessagnet,

Kees Cuvelier,

Alexander de Meij

et al.

Air Quality Atmosphere & Health, Journal Year: 2023, Volume and Issue: 17(4), P. 681 - 706

Published: Dec. 26, 2023

Abstract The sensitivity of air quality model responses to modifications in input data (e.g. emissions, meteorology and boundary conditions) or configurations is recognized as an important issue for modelling applications support plans. In the framework FAIRMODE (Forum Air Quality Modelling Europe, https://fairmode.jrc.ec.europa.eu/ ) a dedicated exercise has been designed address this issue. main goal was evaluate magnitude variability when studying emission scenarios/projections by assessing changes output response changes. This work based on several models that are used users developers, and, consequently, policy makers. We present participating models, provide analysis O 3 PM concentrations due reduction scenarios. key novel feature, comparison with other exercises, strategies applied evaluated at urban scale over large number cities using new indicators such absolute potential, relative potential potency. results show there larger concentration between scenarios applied, than their respective baseline concentrations. For ozone, below 10%, while (when emissions similarly perturbed) exceeds, some instances 100% higher during episodes. Combined reductions usually more efficient sum single precursor both PM. particular responses, terms linearity additivity, clear impact non-linear chemistry processes. gives insight into model’ may be considered designing plans paves way in-depth disentangle role from formulation future assessments.

Language: Английский

Citations

2