A new prediction method of industrial atmospheric pollutant emission intensity based on pollutant emission standard quantification.

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 SO₂ emission of coking enterprises in China. The results show that, affected by the types of coke ovens and regions, China's current coking enterprises have implemented a total of 21 emission standards

SUBMITTER: Ju T 

PROVIDER: S-EPMC9419144 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature