Recent publications
Article
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, H, Yi, W, Jalkanen, J-P, Luo, Z, Majamäki, E, Matthias, V, Moldanová, J, Shi, Z & He, K 2024, 'Atmospheric impacts and regulation framework of shipping emissions: achievements, challenges and frontiers', Fundamental Research. https://doi.org/10.1016/j.fmre.2024.02.013
Kraisitnitikul, P, Thepnuan, D, Chansuebsri, S, Yabueng, N, Wiriya, W, Saksakulkrai, S, Shi, Z & Chantara, S 2024, 'Contrasting compositions of PM2.5 in Northern Thailand during La Niña (2017) and El Niño (2019) years', Journal of Environmental Sciences, vol. 135, pp. 585-599. https://doi.org/10.1016/j.jes.2022.09.026
Wu, L, Wang, P, Zhang, Q, Ren, H, Shi, Z, Hu, W, Chen, J, Xie, Q, Li, L, Yue, S, Wei, L, Song, L, Zhang, Y, Wang, Z, Chen, S, Wei, W, Wang, X, Zhang, Y, Kong, S, Ge, B, Yang, T, Fang, Y, Ren, L, Deng, J, Sun, Y, Wang, Z, Zhang, H, Hu, J, Liu, CQ, Harrison, RM, Ying, Q & Fu, P 2024, 'Dominant contribution of combustion-related ammonium during haze pollution in Beijing', Science Bulletin, vol. 69, no. 7, pp. 978-987. https://doi.org/10.1016/j.scib.2024.01.002
Tian, X, Yu, H, Wei, Y, Shi, Z, Feng, Y, Zhang, L & Shi, G 2024, 'Gas-particle partitioning process contributes more to nitrate dominated air pollution than oxidation process in northern China', Aerosol Science and Technology, vol. 58, no. 2, pp. 181-194. https://doi.org/10.1080/02786826.2023.2294944
Xu, B, Yu, H, Shi, Z, Liu, J, Wei, Y, Zhang, Z, Huangfu, Y, Xu, H, Li, Y, Zhang, L, Feng, Y & Shi, G 2024, 'Knowledge-guided machine learning reveals pivotal drivers for gas-to-particle conversion of atmospheric nitrate', Environmental Science and Ecotechnology, vol. 19, 100333. https://doi.org/10.1016/j.ese.2023.100333
Wang, C, Zhu, W, Shi, Z & Li, J 2023, 'A Sensitive Online SPE-LC–APCI–MS/MS Method for Simultaneous Determination of 17 Nitrated and Oxygenated Polycyclic Aromatic Hydrocarbons in Atmospheric Particulate Matter', Chromatographia, vol. 86, no. 10, pp. 677-688. https://doi.org/10.1007/s10337-023-04280-1
Zheng, H, Kong, S, Zhai , S, Sun , X, Cheng , Y, Yao , L, Song , C, Zheng , Z, Shi, Z & Harrison, R 2023, 'An intercomparison of weather normalization of PM2.5 concentration using traditional statistical methods, machine learning, and chemistry transport models', npj Climate and Atmospheric Science, vol. 6, no. 214, 214. https://doi.org/10.1038/s41612-023-00536-7
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
Srivastava, D, Li, W, Tong, S, Shi, Z & Harrison, RM 2023, 'Characterization of products formed from the oxidation of toluene and m-xylene with varying NOx and OH exposure', Chemosphere, vol. 334, 139002. https://doi.org/10.1016/j.chemosphere.2023.139002
Baldo, C, Formenti, P, Di Biagio, C, Lu, G, Song, C, Cazaunau, M, Pangui, E, Doussin, JF, Dagsson-Waldhauserova, P, Arnalds, O, Beddows, D, Mackenzie, AR & Shi, Z 2023, 'Complex refractive index and single scattering albedo of Icelandic dust in the shortwave part of the spectrum', Atmospheric Chemistry and Physics, vol. 23, no. 14, pp. 7975-8000. https://doi.org/10.5194/acp-23-7975-2023
Review article
Zhang, G, Peng, X, Sun, W, Fu, Y, Yang, Y, Liu, D, Shi, Z, Tang, M, Wang, X & Bi, X 2024, 'Fog/cloud processing of atmospheric aerosols from a single particle perspective: a review of field observations', Atmospheric Environment, vol. 329, 120536. https://doi.org/10.1016/j.atmosenv.2024.120536
Li, W, Riemer, N, Xu, L, Wang, Y, Adachi, K, Shi, Z, Zhang, D, Zheng, Z & Laskin, A 2024, 'Microphysical properties of atmospheric soot and organic particles: measurements, modeling, and impacts', npj Climate and Atmospheric Science, vol. 7, no. 1, 65. https://doi.org/10.1038/s41612-024-00610-8
Chantara, S, Saksakulkrai, S & Shi, Z 2023, 'Airborne particulate matter in Southeast Asia: a review on variation, chemical compositions and source apportionment', Environmental Chemistry, vol. 19, no. 7, pp. 401-431. https://doi.org/10.1071/EN22044
View all publications in research portal