Characteristics analysis of industrial atmospheric emission sources in Beijing–Tianjin–Hebei and Surrounding Areas using data mining and statistics on different time scales

Data mining and statistics on different time scales could be used to analyzethe characteristics of industrial atmospheric emission sources, and could be applied in environmental decisionsupport systems to make air pollution management more objective, reliable, and powerful.

📌 3 Key Takeaways

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Objective & Hypothesis:Cities of Beijing–Tianjin–Hebei (BTH) and its surrounding areas are a focus of air pollution control in China.

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Key Findings & Data:Thisstudy analyzed the emission characteristics of industrial pollution sources within these cities from the perspectiveof big data, using 37,123,000 continuous monitoring data for enterprises in 31 cities.

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Conclusion & Impact:Data mining and statistics on different time scales could be used to analyzethe characteristics of industrial atmospheric emission sources, and could be applied in environmental decisionsupport systems to make air pollution management more objective, reliable, and powerful.

🔬Design:Research Article

📍Scope:Comprehensive Sample

⚙️Variables:Domain Parameters

Özet

Cities of Beijing–Tianjin–Hebei (BTH) and its surrounding areas are a focus of air pollution control in China. Thisstudy analyzed the emission characteristics of industrial pollution sources within these cities from the perspectiveof big data, using 37,123,000 continuous monitoring data for enterprises in 31 cities. Three indicatorswere proposed to compare the spatial emission characteristics: industrial pollutant emission intensity (IPEI),industrial pollution concentration emission intensity (IPCEI) and the density of waste gas monitoring enterprise(DWGME). The IPEI and IPCEI of Yangquan, Taiyuan, Changzhi, Xingtai, Handan, and Hebi were considerablyhigher than the average level of the air pollution transmission channel cities (APTCC). The industrial SO2concentration emission intensity in Yangquan, Hebi, Laiwu were 1826.9, 462.8, 301.4 mgm−3 per trillion yuan,more than twice the regional average for the 31 cities. We found there was a significant positive correlationbetween different industrial pollutants in the BTH and surrounding areas. Industrial SO2 emission have a positivecorrelation with industrial NOx emission in most of BTH cities, the correlation in Xingtai, Hengshui, Taiyuanwere respectively 0.855, 0.969,0.696. Data mining and statistics on different time scales could be used to analyzethe characteristics of industrial atmospheric emission sources, and could be applied in environmental decisionsupport systems to make air pollution management more objective, reliable, and powerful.

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Cite This Article

XİAO, C., CHANG, M., GUO, P., YUAN, M., XU, C., SONG, X., XİONG, X., YANG, D. L. A. J., Lİ, Z. (2020). Characteristics analysis of industrial atmospheric emission sources in Beijing–Tianjin–Hebei and Surrounding Areas using data mining and statistics on different time scales. Atmospheric Pollution Research, Cilt: 11 - Sayı: 1, 11–26. https://ajindex.com/articles/351440

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