2022
DOI: 10.3390/atmos13030483
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Regional VOCs Gathering Situation Intelligent Sensing Method Based on Spatial-Temporal Feature Selection

Abstract: As VOCs pose a threat to human health, it is important to accurately capture changes in VOCs concentrations and sense VOCs concentrations in relevant areas. Therefore, it is necessary to improve the accuracy of VOCs concentration prediction and realise the VOCs aggregation situation sensing. Firstly, on the basis of regional grid division, the inverse distance spatial interpolation method is used for spatial interpolation to collect regional VOCs data information. Secondly, extreme gradient boosting (XGBoost) … Show more

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Cited by 8 publications
(4 citation statements)
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“…[42][43][44] The aggregation of VOCs emitted from cities and towns increases their concentration, which in turn increases the amount of formation of O 3 and PM2.5. 45,46 The reaction cycle for the formation of ground-level O 3 is clearly depicted in Fig. 2.…”
Section: Biogenic Vocsmentioning
confidence: 99%
“…[42][43][44] The aggregation of VOCs emitted from cities and towns increases their concentration, which in turn increases the amount of formation of O 3 and PM2.5. 45,46 The reaction cycle for the formation of ground-level O 3 is clearly depicted in Fig. 2.…”
Section: Biogenic Vocsmentioning
confidence: 99%
“…Due to the intrinsic properties of eXtreme Gradient Boosting (XGBoost), feature selection in this research was based on the importance scores of the features. This technique has been widely used in various applications and has demonstrated satisfactory performance (Chen et al 2020a, Dai et al 2022, Zhang et al 2022. Consequently, the XGBoost model was used to fit the sample data.…”
Section: Feature Selectionmentioning
confidence: 99%
“…[4][5][6] Additionally, VOCs exhibit physiological toxicity, leading to cancer, deformity, and organ damage in the human body. 7,8 The sources of VOCs are diverse and can be classified into two categories: natural sources and artificial sources. 9,10 Natural sources include emissions from wetlands, forests, and oceans, while artificial sources include emissions from industry, agriculture, homes, and transportation vehicles.…”
Section: Introductionmentioning
confidence: 99%