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VOC characteristics and their source apportionment in a coastal industrial area in the Yangtze River Delta, China

Journal of Environmental Sciences 2023年第5期127卷 483-494页

作者： Mengrong Yang Fengxia Li Cenyan Huang Lei Tong Xiaorong Dai Hang Xiao Center for Excellence in Regional Atmospheric Environment&Key Laboratory of Urban Environment and Health Institute of Urban EnvironmentChinese Academy of SciencesXiamen 361021China Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control Ningbo(Beilun)Zhongke Haixi Industrial Technology Innovation CenterNingbo 315800China University of Chinese Academy of Sciences Beijing 100049China Department of Neuro-and Sensory Physiology University Medical Center GotingenHumboldtallee 2337073 GotingenGermany Center for Biostructural Imaging of Neurodegeneration University Medical Center Gotingenvon-Siebold-Straβ3α37075GotingenGermany College of Biological and Environmental Sciences Zhejiang Wanli UniversityNingbo 315100China

Volatile organic compounds(VOCs)are important precursors of secondary organic compounds and ozone,which raise major environmental concerns.To investigate the VOC emission characteristics,measurements of VOCs based on proton transfer reaction-mass spectrometry during 2017 were conducted in a coastal industrial area in Ningbo,Zhejiang Province,China.Based on seasonal variation in species concentration,the positive matrix factorization(PMF)receptor model was applied to apportion the sources of VOCs in each season.The PMF results revealed that unknown acetonitrile source,paint solvent,electronics industry,biomass burning,secondary formation and biogenic emission were mainly attributed to VOC pollution.Biomass burning and secondary formation were the major sources of VOCs and contributed more than 70%of VOC emissions in spring and autumn.Industry-related sources contributed 8.65%–31.2%of the VOCs throughout the year.The unknown acetonitrile source occurred in winter and spring,and contributed 7.6%–43.73%of the VOC emissions in the two seasons.Conditional probability function(CPF)analysis illustrated that the industry sources came from local emission,while biomass burning and biogenic emission mainly came from the northwest direction.The potential source contribution function(PSCF)model showed that secondary formation-related source was mainly from Jiangsu Province,northeastern China and the surrounding ocean.The potential source areas of unknown acetonitrile source were northern Zhejiang Province,southern Jiangsu Province and the northeastern coastal marine environments.

关键词： Volatile organic compounds Proton transfer reaction-mass spectrometry PMF source apportionment seasonal characteristics

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seasonal variations in wave-induced stress over global ocean based on China France Oceanography Satellite

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Science China Earth Sciences 2023年第12期66卷 2930-2940页

作者： Jing REN Sheng CHEN Xunqiang YIN Jianqiang LIU Ying XU Fangli QiAO College of Oceanic and Atmospheric Sciences Ocean University of ChinaQingdao 266100China First Institute of Oceanography Ministry of Natural ResourcesQingdao 266061China Key Laboratory of Marine Sciences and Numerical Modeling Ministry of Natural ResourcesQingdao 26661China Key Laboratory of Marine Sciences and Numerical Modeling Shandong ProvinceQingdao 266061China National Satellite Ocean Application Service Beijing 100081China

Due to the scarcity of simultaneous observations on global-scale wind and wave spectra,there has been limited research on the characteristics of global wave-induced stress and wind stress with wave effects using observed wave spectra,particularly their seasonal variations.The China France Oceanography Satellite(CFOSAT)for the first time can simultaneously observe global sea surface wind and wave spectra,providing a solid data basis for investigating this difficult issue.In this study,the seasonal characteristics of global sea surface wave-induced stress and wind stress were analyzed by combining one-year simultaneous wind and wave observations from CFOSAT with a wave boundary layer model.Waveinduced stress was divided into wind-wave-induced stress and swell-induced stress based on different wave forms.The results showed that the wave-induced stress presented a significant inverse correlation with swell index.A higher swell index corresponded to a larger proportion of swell-induced stress,resulting in a decrease in wind stress,and vice versa,wind-wave-induced stress was dominant,resulting in an increase in wind stress.From spring to winter in the Northern Hemisphere(NH),wind-wave-induced stress predominated in the westerly belt of the Southern Hemisphere(SH),while swell-induced stress predominated near the equator.Further analysis revealed that the seasonal variation in wind-waveinduced stress in the SH was not significant,however,wind-wave-induced stress during the boreal summer was significantly lower than that in other seasons.The absolute value of swell-induced stress in the SH showed a trend of decrease and then increase from spring to winter.The percentage of increase or decrease in wind stress after considering the waveinduced stress showed a roughly symmetrical pattern between the NH and SH during the spring and autumn seasons,while the summer and winter seasons showed an asymmetrical feature.Wave-induced stress significantly modulated wind stress,resulting in zonal mean variations by up to±30%.This findin

关键词： China France Oceanography Satellite(CFOSAT) Wave-induced stress Wind stress seasonal characteristics

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Chemical components of PM_(2.5)in different seasons in Harbin,China

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Particuology 2023年第5期76卷 113-121页

作者： Qinqin Yu Jiumeng Liu Yingjie Zhong Xubing Cao Yulong Wang Yuan Cheng State Key Laboratory of Urban Water Resource and Environment School of EnvironmentHarbin Institute of TechnologyHarbin150090China

The seasonal characteristics of fine particulate matter(PM_(2.5))were investigated from October 2020 to April 2021(spreading fall,winter and spring)in Harbin,a city located in northeast China.The mass concentrations of PM_(2.5)in winter were significantly higher than those in fall and spring.Moreover,our results indicated that various aerosol species had obvious seasonality.The proportions of secondary components were higher in winter than other two seasons.In contrast,the ratios of nitrate to sulfate(NO_(3)^(-)/SO_(4)^(2-))showed lower levels in winter,which was because both the ratios of nitrogen dioxide to sulfur dioxide(NO_(2)/SO_(2))and the ratios of nitrogen oxidation ratio to sulfur oxidation ratio(NOR/SOR)exhibited lower values in winter than in fall and spring.With PM_(2.5)increased,the NO_(3)^(-)/SO_(4)^(2-)ratios showed increasing trends in all three seasons,which was mainly attributed to the increase of NOR/SOR ratios in fall and spring,and the increase of both NO_(2)/SO_(2)and NOR/SOR ratios in winter.This result highlighted that nitrate was more important than sulfate as a driver for the growth of PM_(2.5)during the period of heavy air pollution.Additionally,the sources of organic aerosol(OA)in different seasons were also distinctly different.Overall,the sum of biomass burning OA(BBOA)and secondary OA(SOA)contributed>70%of OA in three seasons.The fractional contributions of BBOA to total OA,notably,exhibited higher levels in fall and spring,because of intensive open agricultural fires.The SOA fractions in OA were larger in winter,likely due to higher relative humidity which facilitated the secondary for-mation.A large increase in the proportions of BBOA was observed during polluted days in fall and spring compared to clean days.In comparison,during heavily-polluted periods,secondary formation made a dominant contribution to organic matter in winter.

关键词： PM_(2.5) seasonal characteristics Sulfate Nitrate Biomass burning Secondary formation

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