Statistical Analysis and Control of Influencing Factors of PM2.5 in Xuzhou
DOI: https://doi.org/10.62517/jse.202411316
Author(s)
Ruichi Cao
Affiliation(s)
College of Education, Art and Sciences, National University Philippines, Manila, Philippines
Abstract
Coal has been an important industry pillar in Xuzhou since ancient times. With the rapid economic growth of the whole country after the reform and opening up, Xuzhou is not willing to lag behind in developing its own industrial economy, but behind the rapid economic development. However, a large amount of pollution emissions seriously damage the environment. Especially in recent years, the data of pm2.5 has gradually entered people's eyes, which makes us realize that the air environment in Xuzhou is already very bad, and it is urgent to protect the local environment. In this paper, a multivariate linear regression model is established by collecting the pm2.5 data from 2009 to 2017 and six related factors affecting the air environment in Xuzhou City, and the specific relationship between them and pm2.5 is analyzed. On this basis, the pm2.5 governance policy, human and technical countermeasures. According to the actual situation of Xuzhou and the experiences of other regions and developed countries, the corresponding countermeasures and reasonable suggestions are put forward.
Keywords
Xuzhou; PM2.5; Environmental Pollution; Multiple Linear Regression Analysis; Environmental Pollution; Governance Countermeasures and Suggestions
References
[1] Wu Kaifeng, Ma Yuansan, Zhang Xixi. Research on PM2.5 pollution status and environmental improvement in Xuzhou Modern Commerce and Industry, 2017, 11.
[2] Zhu Zengyin, Li Bing, Zhao Qiuyue, et al. Environmental Science and Technology, 2013, 26 (1).
[3] Li Yumin, Li Mingli, Jiao Zhikang. Econometric analysis of influencing factors of air quality in Beijing Theoretical Discussion, 2011.
[4] ZONG Z, WANG X, TIAN C, et al. PMF and PSCF based source apportionment of PM2.5 at a regional background site in North China Atmospheric Research, 2018, 203: 207-215.
[5] Cao Yang, Zhu Shouchao. Environmental air quality and pollution control in Xuzhou City Environmental Science and Technology, 2010, (S2): 8688.
[6] Hu Chenxia, Zou Bin, Li Shenxin, et al. Spatial differentiation of PM2.5 concentration in urban microenvironment China Environmental Science, 2018, 38(03): 910-916.
[7] Qu K, Wang X, Xiao T, et al. Cross-regional transport of PM2.5 nitrate in the Pearl River Delta, China: Contributions and mechanisms Sci Total Environ, 2021, 753: 142439.
[8] Huang Xiaogang, Shao Tianjie, Zhao Jingbo, et al. Influencing factors and spatial spillover effects of PM2.5 concentration in Fenwei Plain China Environmental Science, 2019, 39(08): 3539-3548.
[9] Zhou L, Zhou C H, Yang F, et al. Spatial and temporal evolution of PM2.5 and its driving factors in China from 2000 to 2011. Acta Geographica Sinica, 2017, 72(11): 2079-2092.
[10] Zi Ran, Kong Zhen, Zhu Yuanqin. Climate characteristics analysis of Xishuangbanna tropical rain forest during 1959-2018. Agricultural Disaster Research, 2019, 9(06): 61-66 +114.