{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,7]],"date-time":"2026-11-07T04:39:06Z","timestamp":1794026346916,"version":"4.8.0"},"reference-count":63,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41775162"],"award-info":[{"award-number":["41775162"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011177","name":"Institute of Atmospheric Physics Chinese Academy of Sciences","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100011177","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFE0136100"],"award-info":[{"award-number":["2022YFE0136100"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Science of The Total Environment"],"published-print":{"date-parts":[[2024,4]]},"DOI":"10.1016\/j.scitotenv.2024.171295","type":"journal-article","created":{"date-parts":[[2024,2,26]],"date-time":"2024-02-26T22:54:05Z","timestamp":1708988045000},"page":"171295","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":88,"special_numbering":"C","title":["Explainable ensemble machine learning revealing the effect of meteorology and sources on ozone formation in megacity Hangzhou, China"],"prefix":"10.1016","volume":"922","author":[{"given":"Lei","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lili","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dan","family":"Ji","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheng","family":"Xia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peifan","family":"Nan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiaxin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ke","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bing","family":"Qi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rongguang","family":"Du","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuesi","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"9","key":"10.1016\/j.scitotenv.2024.171295_bb0005","doi-asserted-by":"crossref","first-page":"668","DOI":"10.1021\/ar010086g","article-title":"Reversible binding of oxygen to aromatic compounds","volume":"36","author":"Aubry","year":"2003","journal-title":"Acc. Chem. Res."},{"key":"10.1016\/j.scitotenv.2024.171295_bb0010","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2020.144472","article-title":"Low molecular weight dicarboxylic acids, oxocarboxylic acids and alpha-dicarbonyls as ozonolysis products of isoprene: implication for the gaseous-phase formation of secondary organic aerosols","volume":"769","author":"Bikkina","year":"2021","journal-title":"Sci. Total Environ."},{"issue":"40","key":"10.1016\/j.scitotenv.2024.171295_bb0015","doi-asserted-by":"crossref","first-page":"5324","DOI":"10.1016\/j.atmosenv.2010.01.026","article-title":"Development of the SAPRC-07 chemical mechanism","volume":"44","author":"Carter","year":"2010","journal-title":"Atmos. Environ."},{"key":"10.1016\/j.scitotenv.2024.171295_bb0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2020.140837","article-title":"Meteorological influences on PM2.5 and O3 trends and associated health burden since China\u2019s clean air actions","volume":"744","author":"Chen","year":"2020","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.scitotenv.2024.171295_bb0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.envpol.2022.120685","article-title":"A novel machine learning method for evaluating the impact of emission sources on ozone formation","volume":"316","author":"Cheng","year":"2023","journal-title":"Environ. Pollut."},{"key":"10.1016\/j.scitotenv.2024.171295_bb0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2020.142394","article-title":"Quantifying the anthropogenic and meteorological influences on summertime surface ozone in China over 2012\u20132017","volume":"754","author":"Dang","year":"2021","journal-title":"Sci. Total Environ."},{"issue":"3","key":"10.1016\/j.scitotenv.2024.171295_bb0035","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1007\/s13143-019-00124-x","article-title":"Decoding tropospheric ozone in Hangzhou, China: from precursors to sources","volume":"56","author":"Feng","year":"2019","journal-title":"Asia-Pac. J. Atmos. Sci."},{"key":"10.1016\/j.scitotenv.2024.171295_bb0040","doi-asserted-by":"crossref","first-page":"1005","DOI":"10.1016\/j.jclepro.2019.05.319","article-title":"Recurrent Neural Network and random forest for analysis and accurate forecast of atmospheric pollutants: a case study in Hangzhou, China","volume":"231","author":"Feng","year":"2019","journal-title":"J. Clean. Product."},{"issue":"5","key":"10.1016\/j.scitotenv.2024.171295_bb0045","doi-asserted-by":"crossref","first-page":"454","DOI":"10.1038\/nclimate2567","article-title":"Positive but variable sensitivity of August surface ozone to large-scale warming in the southeast United States","volume":"5","author":"Fu","year":"2015","journal-title":"Nat. Clim. Chang."},{"issue":"9","key":"10.1016\/j.scitotenv.2024.171295_bb0050","doi-asserted-by":"crossref","first-page":"975","DOI":"10.1007\/s00376-019-8216-9","article-title":"Interannual and decadal changes in tropospheric ozone in China and the associated chemistry-climate interactions: a review","volume":"36","author":"Fu","year":"2019","journal-title":"Adv. Atmos. Sci."},{"issue":"23","key":"10.1016\/j.scitotenv.2024.171295_bb0055","doi-asserted-by":"crossref","first-page":"12181","DOI":"10.5194\/acp-11-12181-2011","article-title":"Importance of relative humidity in the oxidative ageing of organic aerosols: case study of the ozonolysis of maleic acid aerosol","volume":"11","author":"Gallimore","year":"2011","journal-title":"Atmos. Chem. Phys."},{"issue":"24","key":"10.1016\/j.scitotenv.2024.171295_bb0060","doi-asserted-by":"crossref","first-page":"13051","DOI":"10.1021\/cr500310b","article-title":"Environmental implications of hydroxyl radicals (*OH)","volume":"115","author":"Gligorovski","year":"2015","journal-title":"Chem. Rev."},{"issue":"5","key":"10.1016\/j.scitotenv.2024.171295_bb0065","doi-asserted-by":"crossref","first-page":"4169","DOI":"10.5194\/acp-21-4169-2021","article-title":"COVID-19 lockdowns highlight a risk of increasing ozone pollution in European urban areas","volume":"21","author":"Grange","year":"2021","journal-title":"Atmos. Chem. Phys."},{"issue":"1","key":"10.1016\/j.scitotenv.2024.171295_bb0070","doi-asserted-by":"crossref","first-page":"203","DOI":"10.5194\/acp-20-203-2020","article-title":"Local and synoptic meteorological influences on daily variability in summertime surface ozone in eastern China","volume":"20","author":"Han","year":"2020","journal-title":"Atmos. Chem. Phys."},{"issue":"2","key":"10.1016\/j.scitotenv.2024.171295_bb0075","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1021\/acs.estlett.1c00865","article-title":"Revealing drivers of haze pollution by explainable machine learning","volume":"9","author":"Hou","year":"2022","journal-title":"Environ. Sci. Technol. Lett."},{"issue":"7","key":"10.1016\/j.scitotenv.2024.171295_bb0080","doi-asserted-by":"crossref","DOI":"10.4209\/aaqr.210402","article-title":"Impacts of chemical initial conditions in the WRF-CMAQ model on the ozone forecasts in eastern China","volume":"22","author":"Hou","year":"2022","journal-title":"Aerosol Air Qual. Res."},{"issue":"12","key":"10.1016\/j.scitotenv.2024.171295_bb0085","doi-asserted-by":"crossref","first-page":"2013","DOI":"10.1016\/S1001-0742(10)60665-1","article-title":"Effects of relative humidity on the characterization of a photochemical smog chamber","volume":"23","author":"Hu","year":"2011","journal-title":"J. Environ. Sci."},{"key":"10.1016\/j.scitotenv.2024.171295_bb0090","doi-asserted-by":"crossref","first-page":"44851","DOI":"10.1038\/srep44851","article-title":"Quantification of the impact of aerosol on broadband solar radiation in North China","volume":"7","author":"Hu","year":"2017","journal-title":"Sci. Rep."},{"key":"10.1016\/j.scitotenv.2024.171295_bb0095","doi-asserted-by":"crossref","DOI":"10.1016\/j.envpol.2020.114152","article-title":"Sources of oxygenated volatile organic compounds (OVOCs) in urban atmospheres in North and South China","volume":"261","author":"Huang","year":"2020","journal-title":"Environ. Pollut."},{"issue":"1","key":"10.1016\/j.scitotenv.2024.171295_bb0100","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1186\/s12302-022-00668-2","article-title":"Spatiotemporal characterization of aerosols and trace gases over the Yangtze River Delta region, China: impact of trans-boundary pollution and meteorology","volume":"34","author":"Javed","year":"2022","journal-title":"Environ. Sci. Eur."},{"key":"10.1016\/j.scitotenv.2024.171295_bb0105","doi-asserted-by":"crossref","DOI":"10.1016\/j.envpol.2021.117711","article-title":"Estimation of surface-level NO2 and O3 concentrations using TROPOMI data and machine learning over East Asia","volume":"288","author":"Kang","year":"2021","journal-title":"Environ. Pollut."},{"issue":"6","key":"10.1016\/j.scitotenv.2024.171295_bb0110","doi-asserted-by":"crossref","first-page":"2922","DOI":"10.1002\/2016GL071791","article-title":"Understanding ozone-meteorology correlations: a role for dry deposition","volume":"44","author":"Kavassalis","year":"2017","journal-title":"Geophys. Res. Lett."},{"issue":"20","key":"10.1016\/j.scitotenv.2024.171295_bb0115","doi-asserted-by":"crossref","first-page":"3385","DOI":"10.1016\/S1352-2310(01)00138-8","article-title":"Investigations of emissions and heterogeneous formation of HONO in a road traffic tunnel","volume":"35","author":"Kurtenbach","year":"2001","journal-title":"Atmos. Environ."},{"key":"10.1016\/j.scitotenv.2024.171295_bb0120","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.atmosres.2017.06.003","article-title":"Meteorological and chemical impacts on ozone formation: a case study in Hangzhou, China","volume":"196","author":"Li","year":"2017","journal-title":"Atmos. Res."},{"issue":"2","key":"10.1016\/j.scitotenv.2024.171295_bb0125","doi-asserted-by":"crossref","first-page":"422","DOI":"10.1073\/pnas.1812168116","article-title":"Anthropogenic drivers of 2013\u20132017 trends in summer surface ozone in China","volume":"116","author":"Li","year":"2019","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.scitotenv.2024.171295_bb0130","doi-asserted-by":"crossref","first-page":"723","DOI":"10.1016\/j.jes.2021.12.029","article-title":"Pioneering observation of atmospheric volatile organic compounds in Hangzhou in eastern China and implications for upcoming 2022 Asian Games","volume":"124","author":"Li","year":"2023","journal-title":"J. Environ. Sci."},{"issue":"23","key":"10.1016\/j.scitotenv.2024.171295_bb0135","doi-asserted-by":"crossref","first-page":"14477","DOI":"10.5194\/acp-19-14477-2019","article-title":"Quantifying the impact of synoptic circulation patterns on ozone variability in northern China from April to October 2013\u20132017","volume":"19","author":"Liu","year":"2019","journal-title":"Atmos. Chem. Phys."},{"issue":"8","key":"10.1016\/j.scitotenv.2024.171295_bb0140","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1021\/acs.estlett.8b00366","article-title":"Severe surface ozone pollution in China: a global perspective","volume":"5","author":"Lu","year":"2018","journal-title":"Environ. Sci. Technol. Lett."},{"issue":"4","key":"10.1016\/j.scitotenv.2024.171295_bb0145","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1021\/acs.estlett.0c00171","article-title":"Rapid increases in warm-season surface ozone and resulting health impact in China since 2013","volume":"7","author":"Lu","year":"2020","journal-title":"Environ. Sci. Technol. Lett."},{"key":"10.1016\/j.scitotenv.2024.171295_bb0150","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.elerap.2018.08.002","article-title":"Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning","volume":"31","author":"Ma","year":"2018","journal-title":"Electron. Commer. Res. Appl."},{"issue":"16","key":"10.1016\/j.scitotenv.2024.171295_bb0155","doi-asserted-by":"crossref","DOI":"10.1029\/2009GL039667","article-title":"A model for the relationship between tropical precipitation and column water vapor","volume":"36","author":"Muller","year":"2009","journal-title":"Geophys. Res. Lett."},{"key":"10.1016\/j.scitotenv.2024.171295_bb0160","doi-asserted-by":"crossref","DOI":"10.1016\/j.envpol.2023.122223","article-title":"A comprehensive approach combining positive matrix factorization modeling, meteorology, and machine learning for source apportionment of surface ozone precursors: underlying factors contributing to ozone formation in Houston, Texas","volume":"334","author":"Nelson","year":"2023","journal-title":"Environ Pollut."},{"issue":"1","key":"10.1016\/j.scitotenv.2024.171295_bb0165","doi-asserted-by":"crossref","first-page":"22513","DOI":"10.1038\/s41598-021-01824-z","article-title":"Exploring the potential of machine learning for simulations of urban ozone variability","volume":"11","author":"Ojha","year":"2021","journal-title":"Sci. Rep."},{"key":"10.1016\/j.scitotenv.2024.171295_bb0170","first-page":"204","article-title":"Improving the explainability of Random Forest classifier - user centered approach","author":"Petkovic","year":"2018","journal-title":"Pac. Symp. Biocomput."},{"issue":"1","key":"10.1016\/j.scitotenv.2024.171295_bb0175","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1080\/15481603.2020.1857623","article-title":"Improvement of mangrove soil carbon stocks estimation in North Vietnam using Sentinel-2 data and machine learning approach","volume":"58","author":"Pham","year":"2020","journal-title":"GIScience Remote Sensing"},{"key":"10.1016\/j.scitotenv.2024.171295_bb0180","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2022.155107","article-title":"Meteorological influences on daily variation and trend of summertime surface ozone over years of 2015\u20132020: quantification for cities in the Yangtze River Delta","volume":"834","author":"Qian","year":"2022","journal-title":"Sci. Total Environ."},{"issue":"7","key":"10.1016\/j.scitotenv.2024.171295_bb0185","doi-asserted-by":"crossref","first-page":"610","DOI":"10.1360\/TB-2019-0598","article-title":"Calculation of maximum incremental reactivity scales based on typical megacities in China","volume":"65","author":"Qiu","year":"2020","journal-title":"Chin. Sci. Bull."},{"issue":"3","key":"10.1016\/j.scitotenv.2024.171295_bb0190","doi-asserted-by":"crossref","first-page":"487","DOI":"10.3390\/atmos14030487","article-title":"Characteristics of surface ozone and nitrogen oxides over a typical city in the Yangtze River Delta, China","volume":"14","author":"Qiu","year":"2023","journal-title":"Atmosphere"},{"issue":"9","key":"10.1016\/j.scitotenv.2024.171295_bb0195","doi-asserted-by":"crossref","first-page":"1237","DOI":"10.1016\/S0305-0548(01)00027-2","article-title":"Multilayer perceptron for nonlinear programming","volume":"29","author":"Reifman","year":"2002","journal-title":"Comput. Operations Res."},{"issue":"18","key":"10.1016\/j.scitotenv.2024.171295_bb0200","doi-asserted-by":"crossref","first-page":"11037","DOI":"10.1021\/acs.est.0c01791","article-title":"An ensemble learning approach for estimating high spatiotemporal resolution of ground-level ozone in the contiguous United States","volume":"54","author":"Requia","year":"2020","journal-title":"Environ. Sci. Technol."},{"key":"10.1016\/j.scitotenv.2024.171295_bb0205","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2021.148348","article-title":"A newly integrated dataset of volatile organic compounds (VOCs) source profiles and implications for the future development of VOCs profiles in China","volume":"793","author":"Sha","year":"2021","journal-title":"Sci. Total Environ."},{"issue":"21","key":"10.1016\/j.scitotenv.2024.171295_bb0210","doi-asserted-by":"crossref","first-page":"13455","DOI":"10.5194\/acp-20-13455-2020","article-title":"Sensitivity analysis of the surface ozone and fine particulate matter to meteorological parameters in China","volume":"20","author":"Shi","year":"2020","journal-title":"Atmos. Chem. Phys."},{"key":"10.1016\/j.scitotenv.2024.171295_bb0215","doi-asserted-by":"crossref","first-page":"1582","DOI":"10.1016\/j.scitotenv.2016.10.081","article-title":"Ozone pollution in China: a review of concentrations, meteorological influences, chemical precursors, and effects","volume":"575","author":"Wang","year":"2017","journal-title":"Sci. Total Environ."},{"issue":"8","key":"10.1016\/j.scitotenv.2024.171295_bb0220","doi-asserted-by":"crossref","first-page":"1331","DOI":"10.1093\/nsr\/nwaa032","article-title":"Contrasting trends of PM2.5 and surface-ozone concentrations in China from 2013 to 2017","volume":"7","author":"Wang","year":"2020","journal-title":"Natl. Sci. Rev."},{"issue":"11","key":"10.1016\/j.scitotenv.2024.171295_bb0225","doi-asserted-by":"crossref","first-page":"802","DOI":"10.1021\/acs.estlett.0c00605","article-title":"Four-month changes in air quality during and after the COVID-19 lockdown in six megacities in China","volume":"7","author":"Wang","year":"2020","journal-title":"Environ. Sci. Technol. Lett."},{"key":"10.1016\/j.scitotenv.2024.171295_bb0230","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.jes.2021.07.026","article-title":"Machine learning and theoretical analysis release the non-linear relationship among ozone, secondary organic aerosol and volatile organic compounds","volume":"114","author":"Wang","year":"2022","journal-title":"J. Environ. Sci."},{"key":"10.1016\/j.scitotenv.2024.171295_bb0235","doi-asserted-by":"crossref","DOI":"10.1088\/1748-9326\/ac69fe","article-title":"Ground-level ozone pollution in China: a synthesis of recent findings on influencing factors and impacts","volume":"17","author":"Wang","year":"2022","journal-title":"Environ. Res. Lett."},{"issue":"19","key":"10.1016\/j.scitotenv.2024.171295_bb0240","doi-asserted-by":"crossref","DOI":"10.1029\/2022JD036555","article-title":"The importance of NOx control for peak ozone mitigation based on a sensitivity study using CMAQ-HDDM-3D model during a typical episode over the Yangtze River Delta Region, China","volume":"127","author":"Wang","year":"2022","journal-title":"J. Geophys. Res. Atmos."},{"key":"10.1016\/j.scitotenv.2024.171295_bb0245","doi-asserted-by":"crossref","DOI":"10.1016\/j.atmosres.2023.106889","article-title":"Prediction of daily PM2.5 and ozone based on high-density weather stations in China: nonlinear effects of meteorology, human and ecosystem health risks","volume":"293","author":"Wang","year":"2023","journal-title":"Atmos. Res."},{"key":"10.1016\/j.scitotenv.2024.171295_bb0250","doi-asserted-by":"crossref","DOI":"10.1016\/j.envpol.2022.120798","article-title":"Predicting ozone formation in petrochemical industrialized Lanzhou city by interpretable ensemble machine learning","volume":"318","author":"Wang","year":"2023","journal-title":"Environ. Pollut."},{"key":"10.1016\/j.scitotenv.2024.171295_bb0255","doi-asserted-by":"crossref","first-page":"118250","DOI":"10.1016\/j.envres.2024.118250","article-title":"Comparative analysis for the impacts of VOC subgroups and atmospheric oxidation capacity on O3 based on different observation-based methods at a suburban site in the North China Plain","volume":"248","author":"Wang","year":"2024","journal-title":"Environ. Res."},{"issue":"3","key":"10.1016\/j.scitotenv.2024.171295_bb0260","doi-asserted-by":"crossref","first-page":"1117","DOI":"10.1007\/s10311-018-0735-6","article-title":"Residential emissions predicted as a major source of fine particulate matter in winter over the Yangtze River Delta, China","volume":"16","author":"Wu","year":"2018","journal-title":"Environ. Chem. Lett."},{"issue":"2","key":"10.1016\/j.scitotenv.2024.171295_bb0265","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1007\/s11430-020-9683-8","article-title":"Impacts of meteorology and emission variations on the heavy air pollution episode in North China around the 2020 Spring Festival","volume":"64","author":"Xue","year":"2021","journal-title":"Sci. China Earth Sci."},{"key":"10.1016\/j.scitotenv.2024.171295_bb0270","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/j.envpol.2017.01.026","article-title":"Concentration, ozone formation potential and source analysis of volatile organic compounds (VOCs) in a thermal power station centralized area: a study in Shuozhou, China","volume":"223","author":"Yan","year":"2017","journal-title":"Environ Pollut."},{"issue":"26","key":"10.1016\/j.scitotenv.2024.171295_bb0275","doi-asserted-by":"crossref","DOI":"10.1073\/pnas.2102705118","article-title":"From COVID-19 to future electrification: assessing traffic impacts on air quality by a machine-learning model","volume":"118","author":"Yang","year":"2021","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"issue":"1","key":"10.1016\/j.scitotenv.2024.171295_bb0280","doi-asserted-by":"crossref","first-page":"565","DOI":"10.1007\/s10311-018-0809-5","article-title":"Fog geoengineering to abate local ozone pollution at ground level by enhancing air moisture","volume":"17","author":"Yu","year":"2018","journal-title":"Environ. Chem. Lett."},{"issue":"5","key":"10.1016\/j.scitotenv.2024.171295_bb0285","doi-asserted-by":"crossref","first-page":"1511","DOI":"10.5194\/amt-15-1511-2022","article-title":"Ozone formation sensitivity study using machine learning coupled with the reactivity of volatile organic compound species","volume":"15","author":"Zhan","year":"2022","journal-title":"Atmos. Meas. Tech."},{"issue":"14","key":"10.1016\/j.scitotenv.2024.171295_bb0290","doi-asserted-by":"crossref","first-page":"11053","DOI":"10.5194\/acp-21-11053-2021","article-title":"Development of ozone reactivity scales for volatile organic compounds in a Chinese megacity","volume":"21","author":"Zhang","year":"2021","journal-title":"Atmos. Chem. Phys."},{"key":"10.1016\/j.scitotenv.2024.171295_bb0295","doi-asserted-by":"crossref","DOI":"10.1016\/j.envres.2022.113322","article-title":"Machine learning combined with the PMF model reveal the synergistic effects of sources and meteorological factors on PM2.5 pollution","volume":"212","author":"Zhang","year":"2022","journal-title":"Environ. Res."},{"key":"10.1016\/j.scitotenv.2024.171295_bb0300","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2023.166182","article-title":"Contrasting effects of clean air actions on surface ozone concentrations in different regions over Beijing from May to September 2013\u20132020","volume":"903","author":"Zhang","year":"2023","journal-title":"Sci. Total Environ."},{"issue":"22","key":"10.1016\/j.scitotenv.2024.171295_bb0305","doi-asserted-by":"crossref","first-page":"13238","DOI":"10.1021\/acs.est.9b05000","article-title":"Deep learning prediction of polycyclic aromatic hydrocarbons in the high Arctic","volume":"53","author":"Zhao","year":"2019","journal-title":"Environ. Sci. Technol."},{"key":"10.1016\/j.scitotenv.2024.171295_bb0310","doi-asserted-by":"crossref","DOI":"10.1016\/j.atmosres.2020.105109","article-title":"Atmospheric ozone chemistry and control strategies in Hangzhou, China: application of a 0-D box model","volume":"246","author":"Zhao","year":"2020","journal-title":"Atmos. Res."},{"issue":"12","key":"10.1016\/j.scitotenv.2024.171295_bb0315","doi-asserted-by":"crossref","first-page":"6625","DOI":"10.5194\/acp-15-6625-2015","article-title":"Characteristics of 1 year of observational data of VOCs, NOx, and O3 at a suburban site in Guangzhou, China","volume":"15","author":"Zou","year":"2015","journal-title":"Atmos. Chem. Phys."}],"container-title":["Science of The Total Environment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0048969724014347?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0048969724014347?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T14:02:44Z","timestamp":1782914564000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0048969724014347"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4]]},"references-count":63,"alternative-id":["S0048969724014347"],"URL":"https:\/\/doi.org\/10.1016\/j.scitotenv.2024.171295","relation":{},"ISSN":["0048-9697"],"issn-type":[{"value":"0048-9697","type":"print"}],"subject":[],"published":{"date-parts":[[2024,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Explainable ensemble machine learning revealing the effect of meteorology and sources on ozone formation in megacity Hangzhou, China","name":"articletitle","label":"Article Title"},{"value":"Science of The Total Environment","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.scitotenv.2024.171295","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"171295"}}