Peer Review #1 of "Impact of COVID-19 lockdown on air quality analyzed through machine learning techniques (v0.1)" DOI Creative Commons

P Mukherji

Published: March 31, 2023

After February 2020, the majority of world's governments decided to implement a lockdown in order limit spread deadly COVID-19 virus.This restriction improved air quality by reducing emissions particular atmospheric pollutants from industrial and vehicular traffic.In this study, we look at how shutdown influenced Lahore, Pakistan.HAC Agri Limited, Dawn Food Head Office, Phase 8-DHA, Zeenat Block Lahore were chosen give historical data on concentrations many pollutants, including PM2.5, PM10 (particulate matter), NO2 (nitrogen dioxide), O3 (ozone) (ozone).We use variety models, Decision Tree, SVR, Random Forest, ARIMA, CNN, N-BEATS, LSTM, compare forecast quality.Using machine learning methods, looked each pollutant's levels changed during lockdown.It has been shown that LSTM estimates amounts pollutant lockout more precisely than other models.The results show lockdown, concentration decreased, index around 20%.The also 42% drop PM2.5 concentration, 72% 29% an increase 20% concentration.The models are assessed using RMSE, MAE, R-SQUARE values.The measures 4.35%, 8.2%, 4.46%, 8.58% terms MAE.It is observed model outperformed with fewest errors when projected values compared actual values.

Language: Английский

Evaluating the Effects of Biomass Burning on Severe Haze Formation in a Megacity of Sichuan Basin, Southwestern China DOI Creative Commons

Zhier Bao,

Yiliang Liu, Lingshuo Meng

et al.

Journal of Geophysical Research Atmospheres, Journal Year: 2025, Volume and Issue: 130(2)

Published: Jan. 17, 2025

Abstract Severe haze pollution has long been an environmental problem, which is complicated and poorly understood in the Sichuan Basin (SCB). In this study, a field observation was carried out to investigate factors driving formation urban Chengdu, typical megacity SCB. It found that accumulation of biomass burning organic aerosol (BBOA) played important role Chengdu. The average mass fraction BBOA PM 2.5 increased from ∼1% during clear days ∼10% severe episodes. A method combining backward trajectory analysis with fire spot distribution used evaluate effects regional transport (BB) emissions. results showed concentration by ∼3 times ∼54% when BB emissions were transported adjacent areas Moreover, parameter f 60 (the ratio integrated signal at m/z total component spectrum), indicated impacts emissions, reassessed be 0.54% instead widely value 0.3% previously. Our uncovered importance on SCB provided new insights into pollutant mitigation strategies region.

Language: Английский

Citations

0

Response of imidazole-containing particles to emission reduction policies in China: Insights from observations in a megacity in the Sichuan Basin DOI
Chunying Chen,

Yunfei Su,

Siyu Liu

et al.

Journal of Environmental Sciences, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0

Insights into the seasonal characteristics of single particle aerosols in Chengdu based on SPAMS DOI
Junke Zhang,

Yunfei Su,

Chunying Chen

et al.

Journal of Environmental Sciences, Journal Year: 2024, Volume and Issue: 149, P. 431 - 443

Published: Jan. 29, 2024

Language: Английский

Citations

2

Impact of COVID-19 lockdown on air quality analyzed through machine learning techniques DOI Creative Commons
Umer Zukaib, Mohammed Maray, Saad Mustafa

et al.

PeerJ Computer Science, Journal Year: 2023, Volume and Issue: 9, P. e1270 - e1270

Published: March 31, 2023

After February 2020, the majority of world's governments decided to implement a lockdown in order limit spread deadly COVID-19 virus. This restriction improved air quality by reducing emissions particular atmospheric pollutants from industrial and vehicular traffic. In this study, we look at how shutdown influenced Lahore, Pakistan. HAC Agri Limited, Dawn Food Head Office, Phase 8-DHA, Zeenat Block Lahore were chosen give historical data on concentrations many pollutants, including PM2.5, PM10 (particulate matter), NO2 (nitrogen dioxide), O3 (ozone). We use variety models, decision tree, SVR, random forest, ARIMA, CNN, N-BEATS, LSTM, compare forecast quality. Using machine learning methods, looked each pollutant's levels changed during lockdown. It has been shown that LSTM estimates amounts pollutant lockout more precisely than other models. The results show lockdown, concentration decreased, index around 20%. also 42% drop PM2.5 concentration, 72% 29% an increase 20% concentration. models are assessed using RMSE, MAE, R-SQUARE values. measures 4.35%, 8.2%, 4.46%, 8.58% terms MAE. is observed model outperformed with fewest errors when projected values compared actual

Language: Английский

Citations

5

Evolution of black carbon and brown carbon during summertime in Southwestern China: An assessment of control measures during the 2023 Chengdu Summer World University Games DOI

Zhier Bao,

Xiaoling Zeng,

Jiawei Zhou

et al.

Environmental Pollution, Journal Year: 2024, Volume and Issue: 357, P. 124467 - 124467

Published: June 29, 2024

Language: Английский

Citations

1

Measurement report: Characteristics of airborne black-carbon-containing particles during the 2021 summer COVID-19 lockdown in a typical Yangtze River Delta city, China DOI Creative Commons

Yuan Dai,

Junfeng Wang, Houjun Wang

et al.

Atmospheric chemistry and physics, Journal Year: 2024, Volume and Issue: 24(17), P. 9733 - 9748

Published: Sept. 3, 2024

Abstract. Black-carbon-containing (BCc) particles are ubiquitous in ambient air, significantly contributing to particulate matter (PM) pollution. The unexpected outbreak of the COVID-19 pandemic summer 2021 prompted a localized and prolonged lockdown Yangzhou, situated Yangtze River Delta, China. This led significant alteration local anthropogenic emissions, while neighboring cities continued regular operations, providing unique opportunity for investigation BCc particle characteristics influenced by varying emission conditions. Single-particle aerosol mass spectrometer (SPA-MS) analysis revealed notable decrease proportion freshly emitted during (LD) period. However, PM2.5 concentrations remained relatively unchanged, with an observed increase aged LD compared period before (BLD). study also underscores role regional transport pollution campaign. Moreover, reactive trace gases (e.g., NOx, SO2, volatile organic compounds – VOCs) could form thick coatings on pre-existing particles, likely via enhanced heterogeneous hydrolysis under high relative humidity (RH), resulting growth (∼ 600 nm), as well concentration, LD. Our highlights that short-term, strict controls may not effectively reduce PM due complex production transmission nonlinear responses its precursors. Achieving further effective reduction mandates focus nuanced control necessitates comprehensive extensive approach regionally coordinated balanced strategy through joint regulation.

Language: Английский

Citations

1

Long-term spatiotemporal evolution and coordinated control of air pollutants in a typical mega-mountain city of Cheng-Yu region under the “dual carbon” goal DOI
Xiaoju Li, Luqman Chuah Abdullah, Shafreeza Sobri

et al.

Journal of the Air & Waste Management Association, Journal Year: 2023, Volume and Issue: 73(9), P. 649 - 678

Published: July 14, 2023

Clarifying the spatiotemporal distribution and impact mechanism of pollution is prerequisite for megacities to formulate relevant air prevention control measures achieve carbon neutrality goals. Chongqing one dual-core key in Cheng-Yu region as a typical mountain-city China, environmental problems are complex sensitive. This research aims investigate exceeding standard levels spatio-temporal evolution criteria pollutants between 2014 2020. The results indicated that PM10, PM2.5, CO SO2 were decreased significantly by 45.91%, 52.86%, 38.89% 66.67%, respectively. Conversely, concentration pollutant O3 present fluctuating growth found "seesaw" phenomenon it PM. Furthermore, PM highest winter summer, SO2, NO2, CO, showed "U-shaped", an inverted "U-shaped" seasonal variation. concentrations still far behind WHO, 2021AQGs standards. Significant spatial heterogeneity was observed distribution. These great significance "double double reduction" PM2.5 pollution, regional peaking roadmap under climate coordination. Besides, can provide important platform exploring terrain around world references related epidemiological research.Implication: mountain city, Under background "14th Five-Year Plan", construction "Cheng-Yu Dual-City Economic Circle" "Dual-Carbon" goal, this article comprehensively discussed annual excess multiple policy newest international standards (WHO,2021AQG) backgrounds from 2020 Chongqing. suggestions collaborative management discussed. Finally, limitations recommendations also put forward.Clarifying cities study coordination action plan sustained improvement quality.In addition, advanced our understanding terrain. promote China national strategic economic circle build beautiful west. Moreover, provides scientific insights local policymakers guide smart urban planning, industrial layout, energy structure, transportation planning improve quality throughout region. conducive future other regions even with world.

Language: Английский

Citations

3

Mixing state and effective density of aerosol particles during the Beijing 2022 Olympic Winter Games DOI Creative Commons

Aodong Du,

Jiaxing Sun, Hang Liu

et al.

Atmospheric chemistry and physics, Journal Year: 2023, Volume and Issue: 23(21), P. 13597 - 13611

Published: Nov. 1, 2023

Abstract. Mixing state and density are two key parameters of aerosol particles affecting their impacts on radiative forcing human health. Here a single-particle mass spectrometer in tandem with differential mobility analyzer an aerodynamic classifier was deployed during the Beijing 2022 Olympic Winter Games (OWG) to investigate emission controls particle mixing density. Our results show dominance carbonaceous comprising mainly total elemental carbon (Total-EC, 13.4 %), organic (Total-OC, 10.5 %) Total-ECOC (47.1 %). Particularly, containing sulfate were enhanced significantly OWG, although those from primary emissions decreased. The composition also changed which characterized by decreases EC mixed nitrate (EC-NS), potassium (KEC-N), amine-containing increase ECOC (ECOC-NS). This result indicates that OWG reduced inorganic species amines yet increased aerosol. average effective (ρeff) (150–300 nm) 1.15 g cm−3 non-Olympic (nOWG), higher values (1.26 cm−3) due secondary contribution. In addition, ρeff most increases pollution levels relative humidity, they varied differently for different types particles, highlighting aging formation processes changes state.

Language: Английский

Citations

3

Characterization of summertime single aerosol particles in Chengdu (China): Interannual evolution and impact of COVID-19 lockdown DOI
Junke Zhang, Chunying Chen,

Yunfei Su

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 907, P. 167765 - 167765

Published: Oct. 11, 2023

Language: Английский

Citations

2

Effect of COVID-19 lockdown on the characterization and mixing state of carbonaceous particles in the urban atmosphere of Liaocheng, the North China Plain DOI
Min Chen, Jingjing Meng, Yuanyuan Li

et al.

Particuology, Journal Year: 2022, Volume and Issue: 78, P. 23 - 34

Published: Oct. 30, 2022

Language: Английский

Citations

3