ArticleFrontiers of environmental science & engineering2023
A new prediction method of industrial atmospheric pollutant emission intensity based on pollutant emission standard quantification.
Article in Frontiers of environmental science & engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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1 citing paper in PubMed.
- Data-driven interpretable analysis for polysaccharide yield prediction.Environmental science and ecotechnology · 2024Article
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7 authors.
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Abstract
Industrial emissions are the main source of atmospheric pollutants in China. Accurate and reasonable prediction of the emission of atmospheric pollutants from single enterprise can determine the exact source of atmospheric pollutants and control atmospheric pollution precisely. Based on China's coking enterprises in 2020, we proposed a quantitative method for pollutant emission standards and introduced the quantification results of pollutant emission standards (QRPES) into the construction of support vector regression (SVR) and random forest regression (RFR) prediction methods for SO Electronic Supplementary Material: Supplementary material is available in the online version of this article at 10.1007/s11783-023-1608-1 and is accessible for authorized users.
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