Impact of VOCs emission from iron and steel industry on regional O3 and PM2.5 pollutions

Zhang, Xufeng; Gao, Song; Fu, Qingyan; Han, Deming; Chen, Xiao‐Jia; Fu, Shuang; Huang, Xiqian; Cheng, Jin

doi:10.1007/s11356-020-09218-w

Cited by 37 publications

(9 citation statements)

References 38 publications

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“…Iron is an essential element in the blood pigment that helps transport oxygen to all parts of the body; however, its excessive intake poses a risk to human health [58]. Fe contamination is associated with production or natural sources [59,60]. Thus, like Al, Fe is a good candidate for research.…”

Section: Fig 6 Sb Contamination In the Central Russia Region In 2019 ...mentioning

confidence: 99%

Central Russia heavy metal contamination model based on satellite imagery and machine learning

Uzhinskiy,

Vergel

2023

Computer Optics

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Atmospheric heavy metal contamination is a real threat to human health. In this work, we examined several models trained on in situ data and indices got from satellite images. During 2018-2019, 281 samples of naturally growing mosses were collected in the Vladimir, Yaroslavl, and Moscow regions in Russia. The samples were analyzed using Neutron Activation Analysis to get the contamination levels of 18 heavy metals. The Google Earth Engine platform was used to calculate indices from satellite images that represent summarized information about sampling sites. Statistical and neural models were trained on in situ data and the indices. We focused on the classification task with 8 levels of contamination and used balancing techniques to extend the training data. Three approaches were tested: variations of gradient boosting, multilayer perceptron, and Siamese networks. All these approaches produced results with minute differences, making it difficult to judge which one is better in terms of accuracy and graphical outputs. Promising results were shown for 9 heavy metals with an overall accuracy exceeding 89%. Al, Fe, and Sb contamination was predicted for 3,000 and 12,100 grid nodes on a 500 km2 area in the Central Russia region for 2019 and 2020. The results, methods, and perspectives of the adopted approach of using satellite data together with machine learning for HM contamination prediction are presented.

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Section: Fig 6 Sb Contamination In the Central Russia Region In 2019 ...mentioning

confidence: 99%

Central Russia heavy metal contamination model based on satellite imagery and machine learning

Uzhinskiy,

Vergel

2023

Computer Optics

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“…Prolonged exposure to VOCs can harm human health and cause various diseases and cancers [5][6][7]. In addition, VOCs emissions into the atmosphere often lead to photochemical smog, ozone, haze, and other environmental problems [8][9][10]. The purification of VOCs and improvement in air quality are necessary to reduce their harmful effects on human health [11].…”

Section: Introductionmentioning

confidence: 99%

Effect of the component and the concentration ratio on the removal of volatile organic compound mixtures by non-thermal plasma

Bai,

Chen,

Wang

et al. 2024

J. Phys. D: Appl. Phys.

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The feasibility and efficiency of the degradation of volatile organic compounds (VOCs) by non-thermal plasmas(NTP) has been extensive investigated and proved in laboratory experiments with single target component. In practical, multicomponent VOCs are emitted during industrial production. It is urgent need to study the abatement of multicomponent VOCs to evaluate the effectiveness of NTP technology in application, and explore the impact of interactions between VOCs components on degradation efficiency. This study focused on the degradation of VOCs mixtures composed of toluene (TOL), acetone (AC), and ethyl acetate (EA) by dielectric barrier discharge (DBD) plasma in room temperature. Through changing the target gas in turn and the concentration ratio of additive gas in binary mixture, the influence of the composition and the concentration ratio of the additive gases on the target gas degradation have been investigated by comparing the decomposition of the single compound. The results showed that AC and EA had little or no inhibitory effect on degradation of TOL. When AC was added and degraded together with TOL, the degradation rate of TOL remained almost unchanged with slight fluctuations in the range of 75.3 ± 1.0% as the ratio of added AC increased. However, TOL significantly inhibited the degradation of EA, and AC, and more seriously on AC. When the ratio of added TOL increased, the degradation rates of EA or AC changed from 41.1% or 34.5% to 29.8% or 12.2%, which were 11.3% or 22.3% reduced respectively. It’s indicated that there was a mutual inhibitory effect between the AC and EA when they were degraded together, and a stronger inhibitory effect of EA on AC was observed. When the ratio of added AC to EA changed from 0:1 to 3:1, the degradation rate of EA decreased by 9.5%, from 49.8% to 40.3%. When the ratio of added EA to AC changed from 0:1 to 3:1, the degradation rate of AC decreased by 16.0%, from 37.9% to 21.9%.

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“…Moreover, it has been demonstrated that VOCs are the key precursors for the formation of photochemical smog, secondary aerosol, and ozone. 3,4 Therefore, the effective control of VOCs emission is becoming an increasingly vital issue around the world and still a long way off.…”

Section: Introductionmentioning

confidence: 99%

Management of typical VOCs in air with adsorbents: status and challenges

Ye¹,

Chen²,

Li³

et al. 2023

Dalton Trans.

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Impact of VOCs emission from iron and steel industry on regional O3 and PM2.5 pollutions

Cited by 37 publications

References 38 publications

Central Russia heavy metal contamination model based on satellite imagery and machine learning

Central Russia heavy metal contamination model based on satellite imagery and machine learning

Effect of the component and the concentration ratio on the removal of volatile organic compound mixtures by non-thermal plasma

Management of typical VOCs in air with adsorbents: status and challenges

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