Recent publications
Article
Guo, J, Xu, R, Liu, B, Kong, M, Yang, Y, Shi, Z, Zhang, R & Dai, Y 2025, 'Evaluating policy interventions for air quality during a national sports event with machine learning and causal framework', Atmosphere, vol. 16, no. 5, 557. https://doi.org/10.3390/atmos16050557
Tong, C, Dai, Y, Cole, M, Elliott, RJR, Bartington, SE, Liu, B & Shi, Z 2025, 'Further improvement in London’s air quality demands more than the Ultra Low Emission Zone policy', npj Clean Air, vol. 1, no. 1, 29. https://doi.org/10.1038/s44407-025-00030-9
Dai, Y, Liu, B, Tong, C, Carslaw, D, MacKenzie, AR & Shi, Z 2025, 'Rethinking machine learning weather normalisation: a refined strategy for short-term air pollution policies', Atmospheric Chemistry and Physics, vol. 25, no. 20, pp. 13585–13596. https://doi.org/10.5194/acp-25-13585-2025
Dai, Y, Liu, B, Tong, C & Shi, Z 2024, 'Aqpet — An R package for air quality policy evaluation', Environmental Modelling and Software, vol. 177, 106052. https://doi.org/10.1016/j.envsoft.2024.106052
Liu, B, Bryson, JR, Sevinc, D, Cole, M, Elliott, R, Bartington, S, Bloss, W & Shi, Z 2023, 'Assessing the Impacts of Birmingham’s Clean Air Zone on Air Quality: Estimates from a Machine Learning and Synthetic Control Approach', Environmental and Resource Economics, vol. 86, no. 1-2, pp. 203-231. https://doi.org/10.1007/s10640-023-00794-2, https://doi.org/10.1007/s10640-023-00794-2
Song, C, Liu, B, Cheng, K, Cole, MA, Dai, Q, Elliott, RJR & Shi, Z 2023, 'Attribution of air quality benefits to clean winter heating polices in China: combining machine learning with causal inference', Environmental Science and Technology. https://doi.org/10.1021/acs.est.2c06800
Hou, L, Dai, Q, Song, C, Liu, B, Guo, F, Dai, T, Li, L, Liu, B, Bi, X, Zhang, Y & Feng, Y 2022, 'Revealing drivers of haze pollution by explainable machine learning', Environmental Science and Technology Letters, vol. 9, no. 2, pp. 112–119. https://doi.org/10.1021/acs.estlett.1c00865
Shi, Z, Song, C, Liu, B, Lu, G, Xu, J, VU, VT, Elliott, RJR, Li, W, Bloss, W & Harrison, R 2021, 'Abrupt but smaller than expected changes in surface air quality attributable to COVID-19 lockdowns', Science Advances, vol. 7, no. 3, eabd6696. https://doi.org/10.1126/sciadv.abd6696
Dai, Q, Hou, L, Liu, B, Zhang, Y, Song, C, Shi, Z, Hopke, PK & Feng, Y 2021, 'Spring festival and COVID-19 lockdown: disentangling PM sources in major Chinese cities', Geophysical Research Letters, vol. 48, no. 11, e2021GL093403. https://doi.org/10.1029/2021GL093403
Cole, MA, Elliott, RJR & Liu, B 2020, 'The Impact of the Wuhan Covid-19 lockdown on air pollution and health: a machine learning and augmented synthetic control approach', Environmental and Resource Economics, vol. 76, no. 4, pp. 553-580. https://doi.org/10.1007/s10640-020-00483-4
Letter
Liu, L, Zhang, J, Du, R, Teng, X, Hu, R, Yuan, Q, Tang, S, Ren, C, Huang, X, Xu, L, Zhang, Y, Zhang, X, Song, C, Liu, B, Lu, G, Shi, Z & Li, W 2021, 'Chemistry of atmospheric fine particles during the COVID-19 pandemic in a megacity of eastern China', Geophysical Research Letters, vol. 48, no. 2, 2020GL091611. https://doi.org/10.1029/2020GL091611
Xu, L, Zhang, J, Sun, X, Xu, S, Shan, M, Yuan, Q, Liu, L, Du, Z, Liu, D, Xu, D, Song, C, Liu, B, Lu, G, Shi, Z & Li, W 2020, 'Variation in Concentration and Sources of Black Carbon in a Megacity of China During the COVID‐19 Pandemic', Geophysical Research Letters, vol. 47, no. 23, e2020GL090444. https://doi.org/10.1029/2020GL090444
Other report
Shi, Z, Liu, B, Cheng, K, Elliott, R, Cole, M & Bryson, J 2022, Quantifying the impact of clean air policy interventions for air quality management. University of Birmingham. https://doi.org/10.25500/epapers.bham.00004040, https://doi.org/10.25500/epapers.bham.00004040
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