Open Access
Issue |
Sust. Build.
Volume 6, 2023
|
|
---|---|---|
Article Number | 9 | |
Number of page(s) | 8 | |
Section | Indoor Environment Quality, Health and Thermal Comfort and Human Perception | |
DOI | https://doi.org/10.1051/sbuild/2023010 | |
Published online | 30 November 2023 |
- L. Hou, Q. Dai, C. Song, B. Liu, F. Guo, T. Dai, L. Li, B. Liu, X. Bi, Y. Zhang, Y. Feng, Revealing Drivers of Haze Pollution by Explainable Machine Learning, Environ. Sci. Tech. Let. 9, 112–119 (2022) [Google Scholar]
- Z. Wu, S. Zhang, Study on the spatial–temporal change characteristics and influence factors of fog and haze pollution based on GAM, Neural Comput. Appl. 31, 1619–1631 (2019) [Google Scholar]
- Y. Zhou, Study on the spatial–temporal change characteristics and influence factors of fog and haze pollution based on GAM, Resour. Conserv. Recy. 169, 1–10 (2021) [Google Scholar]
- L. Li, J. Sun, J. Jiang, J. Wang, The effect of environmental regulation competition on haze pollution: evidence from China's province-level data, Environ. Geochem. Hlth. 44, 3057–3080 (2021) [Google Scholar]
- X.Q. Feng, J.H. Chen, H.M. Yin, X.M. Xu, W.P. Xiong, L.D. Mei, J. Qian, Z. Liu, Characteristics and Formation Mechanism of Three Haze Pollution Processes in Chengdu in Winter, Huan Jing Ke Xue 41, 4382–4391 (2020) [Google Scholar]
- Y. Li, H. Zhang, A. Li, J. Zhang, S. Du, High time-resolved variations of proteins in PM2.5 during haze pollution periods in Xi'an, China, Environ. Pollut. 305, 119212. 1–119212.9 (2022) [Google Scholar]
- J. Zhou, T. Yin, J. Tian, Research on the impact of Beijing–Tianjin–Hebei electric power and thermal power industry on haze pollution, Energ. Rep. 8, 1698–1710 (2022) [Google Scholar]
- H. Lian, X. Yang, P. Zhang, Y.Z. Chen, X.Y. Yang, Y.X. Zhao, Y.J. He, D.T. Zhao, Analysis of Characteristics and Causes of a Typical Haze Pollution in Beijing in the Winter of 2019, Huan Jing Ke Xue 42, 2121–2132 (2021) [Google Scholar]
- P. Xu, Y. Yang, J. Zhang, W. Gao, Z. Liu, B. Hu, Y. Wang, Characterization and source identification of submicron aerosol during serious haze pollution periods in Beijing, J. Environ. Sci. 112, 25–37 (2022) [CrossRef] [Google Scholar]
- X. Zhang, Z. Zhang, Z. Xiao, G. Tang, H. Li, R. Gao, X. Dao, Y. Wang, W. Wang, Heavy haze pollution during the COVID-19 lockdown in the Beijing-Tianjin-Hebei region,China, J. Environ. Sci. 114, 170–178 (2022) [CrossRef] [Google Scholar]
- B. Yang, Y. Chen, Influence of haze in urban greenspace on behavioral decision-making and physical and mental health of the elderly, Acta Ecol. Sin. 42, 3782–3793 (2022) [Google Scholar]
- X. Yang, L. Wu, C. Jin, Analysis on Characteristics and Meteorological Influencing Factors of Air PM 2.5 Pollution in Chongqing, China, Meteorol. Environ. Res. 11, 125–130 (2020) [Google Scholar]
- L. Hou, Q. Dai, C. Song, B. Liu, F. Guo, T. Dai, L. Li, B. Liu, X. Bi, Y. Zhang, Y. Feng, Revealing Drivers of Haze Pollution by Explainable Machine Learning, Environ. Sci. Tech. Let. 9, 112–119 (2022) [CrossRef] [Google Scholar]
- W. Zhou, W. L. Lei, A. Du, Z. Zhang, Y. Li, Y. Yang, G. Tang, C. Chen, W. Xu, J. Sun, Z. Li, P. Fu, Z. Wang, Y. Sun, Unexpected Increases of Severe Haze Pollution During the Post COVID-19 Period: Effects of Emissions, Meteorology, and Secondary Production, J. Geophys. Res. Atmos. 127, 1–14 (2022) [Google Scholar]
- D. Huang, S. Zhong, J. Tang, J. Zhao, Impact of foreign direct investment on the haze pollution in various cities: Evidence from China, Growth Change 52, 2016–2039 (2021) [CrossRef] [Google Scholar]
- A. Aditya, B.N. Sari, T.N. Padilah, Comparison analysis of Euclidean and Gower distance measures on k-medoids cluster, J. Tekn. Sist. Komput. 9, 1–7 (2020) [Google Scholar]
- P. Dai, Y. Lin, Should There Be Industrial Agglomeration in Sustainable Cities?: A Perspective Based on Haze Pollution, Sustainability 13, 1–22 (2021) [Google Scholar]
- S. Xia, Z. Yin, H. Wang, Remote impacts from the tropical Indian Ocean on haze pollution in January over the Yangtze River Delta, Atmos. Ocean. Sci. Lett. 14, 49–53 (2021) [Google Scholar]
- K. Qian, T. Lv, Y. Yuan, Integrated Energy System Planning Optimization Method and Case Analysis Based on Multiple Factors and A Three-Level Process, Sustainability 13, 1–22 (2021) [Google Scholar]
- J. Zheng, Y. Cheng, G. Ma, X. Han, L. Yu, Feasibility Analysis of Green Travel in Public Transportation: A Case Study of Wuhan, Sustainability 12, 1–22 (2020) [PubMed] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.