Evaluation of Atmospheric Pollutant Emission Efficiency Based on SBM-Undesirable Model —— Taking PM2.5 as an Example

She xiaohe; Wang Yingying; Cao Haimin; Yuan Fangying; Ai Wei; He Qi; Yang Xiaoyan; Sun Juan

doi:10.1051/e3sconf/202014302038

All issues

Volume 143 (2020)

E3S Web Conf., 143 (2020) 02038

References

Open Access

Issue		E3S Web Conf. Volume 143, 2020 2^nd International Symposium on Architecture Research Frontiers and Ecological Environment (ARFEE 2019)


Article Number		02038
Number of page(s)		4
Section		Environmental Science and Energy Engineering
DOI		https://doi.org/10.1051/e3sconf/202014302038
Published online		24 January 2020

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[1] Charnes, A., Cooper, W. W., Rhodes, E. Measuring the Eciency of Decision Making Units[J].European Journal of Operational Research, 1978, 2(6):429-444. [CrossRef] [Google Scholar]

[2] Feng S, Gao D, Liao F, et al. The health effects of ambient PM2.5 and potential mechanisms[J]. Ecotoxicology & Environmental Safety, 2016, 128:67-74. [CrossRef] [Google Scholar]

[3] Cui M, Chen Y, Tian C, et al. Chemical composition of PM2.5 from two tunnels with different vehicular fleet characteristics[J]. Science of the Total Environment, 2016, 550(7):123-132. [CrossRef] [Google Scholar]

[4] Wu X, Chen Y, Guo J, et al. Inputs optimization to reduce the undesirable outputs by environmental hazards: a DEA model with data of PM2.5, in China[J]. Natural Hazards, 2018, 90(1):1-25. [CrossRef] [Google Scholar]

[5] Zhang Y, Schauer J J, Zhang Y, et al. Correction to Characteristics of Particulate Carbon Emissions from Real-World Chinese Coal Combustion. [J]. Environmental Science & Technology, 2017, 42(14):5068-5073. [Google Scholar]

[6] Pei B, Wang X, Zhang Y, et al. Emissions and source profiles of PM2.5, for coal-fired boilers in the Shanghai megacity, China[J]. Atmospheric Pollution Research, 2016, 7(4):577-584. [Google Scholar]

[7] Pei B, Wang X, Zhang Y, et al. Emissions and source profiles of PM2.5, for coal-fired boilers in the Shanghai megacity, China[J]. Atmospheric Pollution Research, 2016, 7(4):577-584. [Google Scholar]