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Journal of Environmental Sciences 2017年第7期29卷 411-417页

作者： kaisa kerminen Ville Salovaara Merja Hannele Kontro University of Helsinki Department of Ecological and Environmental Sciences15140 LahtiFinland

The pesticide atrazine,its degradation products,and 2,6-dichlorobenzamide（BAM） are persistent in groundwater *** studied whether their dissipation can be enhanced with a mixture of a complex carbon source and zero-valent iron（ZVI） called EHC.The application rates were 1.0% and 2.0%（by weight） in subsurface sediments slurries（atrazine 30 mg/L）,and 2.0% in 1.5 m pilot-scale sediment columns with groundwater flowing through（atrazine 0.08,desethylatrazine DEA 0.03,BAM 0.02 μg/L）.In the slurries under aerobic conditions,atrazine of 0.88 ± 0.14 mg/g of EHC was dissipated chemically,as concentrations did not differ significantly between the slurries and their sterilized *** degradation occurred in the slurries under anaerobic *** the pilot-scale columns under water-saturated conditions,atrazine,DEA and BAM were not detected in effluents during 33,64 and 64 days from the beginning of the water flow through EHC columns,respectively,but thereafter traces of compounds could be *** atrazine or degradation products（BAM,DEA,deisopropylatrazine,desethyldeisopropylatrazine） could be extracted from the column sediments at the end of the *** a result,the sum of dissipated pesticides was about7.6 μg/g of EHC in columns under water-saturated conditions,and 0.88 mg/g of EHC in slurries under aerobic *** can be used to enhance the dissipation of studied pesticides in small quantities,preferentially under aerobic conditions.

关键词： Herbicides Subsurface sediments Dissipation EHC~ Organic matter Zero-valent iron

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A new implementation of FLEXPART with Enviro-HIRLAM meteorological input,and a case study during a heavy air pollution event

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Big Earth Data 2024年第2期8卷 397-434页

作者： Benjamin Foreback Alexander Mahura Petri Clusius Carlton Xavier Metin Baykara Putian Zhou Tuomo Nieminen Victoria Sinclair Veli-Matti kerminen Tom V.Kokkonen Simo Hakala Diego Aliaga Risto Makkonen Alexander Baklanov Roman Nuterman Men Xia Chenjie Hua Yongchun Liu Markku Kulmala Pauli Paasonen Michael Boy Aerosol and Haze Laboratory Beijing Advanced Innovation Center for Soft Matter Science and EngineeringBeijing University of Chemical TechnologyBeijingChina Institute for Atmospheric and Earth System Research/Physics Faculty of ScienceUniversity of HelsinkiHelsinkiFinland Division of Nuclear Physics Department of PhysicsLund UniversityLundSweden Swedish Meteorological and Hydrological Institute(SMHI) Research DepartmentUnit of Meteorology/Environment and ClimateNorrköpingSweden Climate and Marine Sciences Department Eurasia Institute of Earth SciencesIstanbul Technical UniversityIstanbulTurkey Department of Physics Faculty of ScienceUniversity of HelsinkiHelsinkiFinland Department of Meteorology(MISU)and Bolin Centre for Climate Research Stockholm UniversityStockholmSweden Climate System Research Unit Finnish Meteorological InstituteHelsinkiFinland Science and Innovation Department World Meteorological Organization(WMO)GenevaSwitzerland Niels Bohr Institute University of CopenhagenCopenhagenDenmark Joint International Research Laboratory of Atmospheric and Earth System Sciences School of Atmospheric SciencesNanjing UniversityNanjingChina School of Engineering Science Lappeenranta-Lahti University of Technology(LUT)LappeenrantaFinland Atmospheric Modelling Centre Lahti Lahti University CampusLahtiFinland

We integrated Enviro-HIRLAM(Environment-High Resolution Limited Area Model)meteorological output into FLEXPART(FLEXible PARTicle dispersion model).A FLEXPART simulation requires meteorological input from a numerical weather prediction(NWP)*** publicly available version of FLEXPART can utilize either ECMWF(European Centre for Medium-range Weather Forecasts)Integrated Forecast System(IFS)forecast or reanalysis NWP data,or NCEP(*** Center for Environmental Prediction)Global Forecast System(GFS)forecast or reanalysis NWP *** primary benefits of using Enviro-HIRLAM are that it runs at a higher resolution and accounts for aerosol effects in meteorological *** compared backward trajectories gener-ated with FLEXPART using Enviro-HIRLAM(both with and without aerosol effects)to trajectories generated using NCEP GFS and ECMWF IFS meteorological inputs,for a case study of a heavy haze event which occurred in Beijing,China in November *** found that results from FLEXPART were considerably different when using different meteorological *** aerosol effects were included in the NWP,there was a small but noticeable differ-ence in calculated ***,when looking at potential emission sensitivity instead of simply expressing trajectories as lines,additional information,which may have been missed when looking only at trajectories as lines,can be inferred.

关键词： Atmospheric and chemical transport modelling trajectory and particle dispersion modelling severe air pollution episode FLEXPART Enviro-HIRLAM

Towards seamless environmental prediction-development of Pan-Eurasian EXperiment(PEEX)modelling platform

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Big Earth Data 2024年第2期8卷 189-230页

作者： Alexander Mahura Alexander Baklanov Risto Makkonen Michael Boy Tuukka Petäjä Hanna KLappalainen Roman Nuterman Veli-Matti kerminen Stephen R.Arnold Markus Jochum Anatoly Shvidenko Igor Esau Mikhail Sofiev Andreas Stohl Tuula Aalto Jianhui Bai Chuchu Chen Yafang Cheng Oxana Drofa Mei Huang Leena Järvi Harri Kokkola Rostislav Kouznetsov Tingting Li Piero Malguzzi Sarah Monks Mads Bruun Poulsen Steffen M.Noe Yuliia Palamarchuk Benjamin Foreback Petri Clusiu Till Andreas Soya Rasmussen Jun She Jens Havskov Sørensen Dominick Spracklen Hang Su Juha Tonttila Siwen Wang Jiandong Wang Tobias Wolf-Grosse Yongqiang Yu Qing Zhang Wei Zhang Wen Zhang Xunhua Zheng Siqi Li Yong Li Putian Zhou Markku Kulmala Faculty of Science Institute for Atmospheric and Earth System Research(INAR)/PhysicsUniversity of Helsinki(UHEL)HelsinkiFinland Science and Innovation Department World Meteorological Organization(WMO)GenevaSwitzerland Niels Bohr Institute University of CopenhagenCopenhagenDenmark Climate System Research Finnish Meteorological Institute(CSR-FMI)HelsinkiFinland School of Engineering Sciences Lappeenranta University of TechnologyLappeenrantaFinland Institute for Climate and Atmospheric Science School of Earth and EnvironmentUniversity of LeedsLeedsUK Biodiversity and Natural Resources Program International Institute for Applied Systems Analysis(IIASA)LaxenburgAustria Department of Physics and Technology UiT-The Arctic University of NorwayTromsoNorway Nansen Environmental and Remote Sensing Center(NERSC) BergenNorway Atmospheric Composition Finnish Meteorological Institute(AC-FMI)HelsinkiFinland Norwegian Institute for Air Research(NILU) KjellerNorway LAGEO Institute of Atmospheric PhysicsChinese Academy of Sciences(IAP-CAS)BeijingChina Max Planck Institute for Chemistry(MPI-Chem) MainzGermany Institute of Atmospheric Sciences and Climate National Research Council of Italy(CNR-15SAC)BolognaItaly Institute of Geographic Sciences and Natural Resources Research(IGSNRR) Chinese Academy of Sciences(CAS)BeijingChina Faculty of Science Helsinki Institute of Sustainability Science(HELSUS)University of Helsinki(UHEL)HelsinkiFinland Atmospheric Research Centre of Eastern Finland Finnish Meteorological Institute(ARCEF-FMI)KuopioFinland Institute of Atmospheric Physics Chinese Academy of Sciences(IAP-CAS)BeijingChina Department of Plant Physiology Estonian University of Life Sciences(EULS)Institute of Agricultural and Environmental Sciences(IAES)TartuEstonia Danish Meteorological Institute(DMI) CopenhagenDenmark State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry LAPC) Institute of Atmospheric Physics(IAP)Chinese Academy of Sciences(CAS)BeijingChina Uni

The Pan-Eurasian Experiment Modelling Platform(PEEX-MP)is one of the key blocks of the PEEX Research *** PEEX MP has more than 30 models and is directed towards seamless envir-onmental *** main focus area is the Arctic-boreal regions and *** models used in PEEX-MP cover several main components of the Earth’s system,such as the atmosphere,hydrosphere,pedosphere and biosphere,and resolve the physicalchemicalbiological processes at different spatial and temporal scales and *** paper introduces and discusses PEEX MP multi-scale modelling concept for the Earth system,online integrated,forward/inverse,and socioeconomical modelling,and other approaches with a particular focus on applications in the PEEX geographical *** employed high-performance com-puting facilities,capabilities,and PEEX dataflow for modelling results are *** virtual research platforms(PEEXView,Virtual Research Environment,Web-based Atlas)for handling PEEX modelling and observational results are *** over-all approach allows us to understand better physical-chemicalbiological processes,Earth’s system interactions and feedbacks and to provide valuable information for assessment studies on evaluating risks,impact,consequences,*** population,envir-onment and climate in the PEEX *** work was also one of the last projects of *** Zilitinkevich,who passed away on 15 February *** the finalization took time,the paper was actually submitted in 2023 and we could not argue that the final paper text was agreed with him.

关键词： Multi-scale and-processes modelling concept seamless coupling high-performance computing data infrastructure virtual research platforms

On secondary new particle formation in China

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Frontiers of Environmental Science & Engineering 2016年第5期10卷 191-200页

作者： Markku Kulmala Tuukka Petaja Veli-Matti kerminen Joni Kujansuu Taina Ruuskanen Aijun Ding Wei Nie Min HU Zhibin Wang Zhijun Wu Lin Wang Douglas R. Worsnop University of Helsinki P.O. Box 64 Helsinki 00014 Finland Joint Intemational Research Laboratory of Atmospheric and Earth System Sciences (JirLATEST) Nanjing University and University of Helsinki Nanjing 210093 China Institute for Climate and Global Change Research Nanjing University Nanjing 210000 China State Key Joint Laboratory of Environmental Simulation and Pollution Control College of Environmental Sciences and Engineering Peking University Beijing 100871 China Max Planck Institute for Chemistry Hahn-Meimer-Weg 1 Mainz DE 55128 Germany Department of Environmental Science & Engineering Fudan University Shanghai 200433 China Aerodyne Research Inc. Billerica MA 01821 USA

Formation of new atmospheric aerosol particles is a global phenomenon that has been observed to take place in even heavily-polluted environments. However, in all environments there appears to be a threshold value of the condensation sink （due to pre-existing aerosol particles） after which the formation rate of 3 nm particles is no longer detected. In China new particle production has been observed at very high pollution levels （condensation sink about 0.1 s-1 ） m several megaclt es, including Beijing, Shanghai and Nanjing as well as in Pearl River Delta （PRD）. Here we summarize the recent findings obtained from these studies and discuss the various implications these findings will have on future research and policy.

关键词： Aerosol particles Heavily-polluted environments Condensation sink New particle production Megacities

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Long-term observation of air pollution-weather/climate interactions at the SORPES station： a review and outlook

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Frontiers of Environmental Science & Engineering 2016年第5期10卷 9-23页

作者： Aijun Ding Wei Nie Xin Huang Xuguang Chi Jianning Sun Veli-Matti kerminen Zheng Xu Weidong Guo Tuukka Petaja Xiuqun Yang Markku Kulmala Congbin Fu Joint International Research Laboratory of Atmospheric and Earth System Sciences (JirLATEST) Nanjing University Nanjing 210023 China Institute for Climate and Global Change Research School of Atmospheric Sciences Nanjing University Nanjing 210023 China Collaborative Innovation Center of Climate Change Jiangsu Province Nanjing 210023 China Department of Physics University of Helsinki Helsinki 00014 Finland

This work presents an overall introduction to the Station for Observing Regional Processes of the EarthSystem - SORPES in Nanjing, East China, and gives an overview about main scientific findings instudies of air pollution-weather/climate interactions obtained since 2011. The main results summarizedin this paper include overall characteristics of trace gases and aerosols, chemical transformationmechanisms for secondary pollutants like O3, HONO andsecondary ingrganic aerosols, and the airpollution- weather/climate interactions and feedbacks in mixed air pollution plumes from sources likefossil fuel combustion, biomass burning and dust storms. The future outlook of the development plan on instrumentation, networking and data-sharing for the SORPES station is also discussed.

关键词： Secondary pollution Ground-based measurement Planetary boundary layer meteorology Earth system processes

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Contrasting trends of PM2.5 and surface-ozone concentrations in China from 2013 to 2017

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National Science Review 2020年第8期7卷 1331-1339页

作者： Yonghong Wang Wenkang Gao Shuai Wang Tao Song Zhengyu Gong Dongsheng Ji Lili Wang Zirui Liu Guiqian Tang Yanfeng Huo Shili Tian Jiayun Li Mingge Li Yuan Yang Biwu Chu Tuukka Pet?j? Veli-Matti kerminen Hong He Jiming Hao Markku Kulmala Yuesi Wang Yuanhang Zhang State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC) Institute of Atmospheric Physics Chinese Academy of Sciences Institute for Atmospheric and Earth System Research University of Helsinki China National Environmental Monitoring Center (CNEMC) Anhui Institute of Meteorological Sciences State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Center for Excellence in Regional Atmospheric Environment Institute of Urban Environment Chinese Academy of Sciences State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University State Key Joint Laboratory of Environmental Simulation and Pollution Control College of Environmental Sciences and Engineering Peking University

Although much attention has been paid to investigating and controlling air pollution in China, the trends of air-pollutant concentrations on a national scale have remained unclear. Here, we quantitatively investigated the variation of air pollutants in China using long-term comprehensive data sets from 2013 to 2017, during which Chinese government made major efforts to reduce anthropogenic emission in polluted regions. Our results show a significant decreasing trend in the PM2.5concentration in heavily polluted regions of eastern China, with an annual decrease of ～7% compared with measurements in 2013. The measured decreased concentrations of SO2, NO2and CO（a proxy for anthropogenic volatile organic compounds） could explain a large fraction of the decreased PM2.5concentrations in different regions. As a consequence, the heavily polluted days decreased significantly in corresponding regions. Concentrations of organic aerosol,nitrate, sulfate, ammonium and chloride measured in urban Beijing revealed a remarkable reduction from 2013 to 2017, connecting the decreases in aerosol precursors with corresponding chemical components closely. However, surface-ozone concentrations showed increasing trends in most urban stations from 2013 to 2017, which indicates stronger photochemical pollution. The boundary-layer height in capital cities of eastern China showed no significant trends over the Beijing–Tianjin–Hebei, Yangtze River Delta and Pearl River Delta regions from 2013 to 2017, which confirmed the reduction in anthropogenic emissions. Our results demonstrated that the Chinese government was successful in the reduction of particulate matter in urban areas from 2013 to 2017, although the ozone concentration has increased significantly, suggesting a more complex mechanism of improving Chinese air quality in the future.

关键词： air pollution clean-air action particulate matter surface ozone China chemical composition

The Silk Road agenda of the Pan-Eurasian Experiment (PEEX) program

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Big Earth Data 2018年第1期2卷 8-35页

作者： Hanna K.Lappalainen Markku Kulmala Joni Kujansuu Tuukka Petaja Alexander Mahura Gerrit de Leeuw Sergej Zilitinkevich Merli Juustila Veli-Matti kerminen Bob Bornstein Zhang Jiahua Xue Yong Qiu Yubao Liang Dong Liu Jie Guo Huadong Institute for Atmospheric and Earth System Research(INAR)/Physics University of HelsinkiHelsinkiFinland Finnish Meteorological Institute HelsinkiFinland Climate Research Programme University of TyumenTyumenRussia Institute of Remote Sensing and Digital Earth Chinese Academy of SciencesBeijingChina Aerosol and Haze Laboratory Beijing University of Chemical TechnologyBeijingChina The Joint International Research Laboratory of Atmospheric and Earth System Sciences(JirLatest) Nanjing UniversityNanjingChina College of Resources and Environment University of Chinese Academy of SciencesBeijingChina Department of Radiophysics University of Nizhny NovgorodNizhny NovgorodRussia Department of Geography Moscow State UniversityMoscowRussia Department of Meteorology and Climate Science San Jose State UniversitySan JoseCAUSA

The Silk Road Economic Belt and the 21st-Century Maritime Silk Road(B&R)aims at facilitating the twenty-first Century economic development of ***,climate change,air quality and related feedbacks are affecting the successful development of the environment and societies in the B&R geographical *** most urgent risks related to the atmospheric system,to the land system and to hydrospheric and cryospheric processes are changing climate-air quality interactions,air pollution,changing monsoon dynamics,land degradation,and the melting of Tibetan Plateau glaciers.A framework is needed in which a science and technology-based approach has the critical mass and expertise to identify the main steps toward solutions and is capable to implement this *** Pan-Eurasian Experiment(PEEX)program,initiated in 2012,aims to resolve science,technology and sustainability questions in the Northern Eurasian *** is now identifying its science agenda for the B&R *** fundamental element of the PEEX research agenda is the availability of comprehensive ground-based observations together with Earth observation *** complements the recently launched international scientific program called Digital Belt and Road(DBAR).PEEX has expertise to coordinate the ground-based observations and initiate new flagship stations,while DBAR provides a big data platform on Earth observation from China and countries along the Belt and Road *** DBAR and PEEX have joint interests and synergy expertise on monitoring on ecological environment,urbanization,cultural heritages,coastal zones,and arctic cold regions supporting the sustainable development of the Belt and Road *** this paper we identify the research themes of the PEEX related Silk Road agenda relevant to China and give an overview of the methodological requirements and present the infrastructure requirements needed to carry out large scale research program.

关键词： Silk road Economic Belt air quality land-climate feedbacks Earth observation data in situ observations multiscale modeling SMEa concept Pan-Eurasian Experiment(PEEX)program Digital Belt and road(DBa)program

The missing base molecules in atmospheric acid-base nucleation

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National Science Review 2022年第10期9卷 196-208页

作者： Runlong Cai Rujing Yin Chao Yan Dongsen Yang Chenjuan Deng Lubna Dada Juha Kangasluoma Jenni Kontkanen Roope Halonen Yan Ma Xiuhui Zhang Pauli Paasonen Tuukka Pet?j? Veli-Matti kerminen Yongchun Liu Federico Bianchi Jun Zheng Lin Wang Jiming Hao James N.Smith Neil M. Donahue Markku Kulmala Douglas R.Worsnop Jingkun Jiang State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Institute for Atmospheric and Earth System Research/Physics Faculty of Science University of Helsinki Aerosol and Haze Laboratory Beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing University of Chemical Technology Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science and Technology Laboratory of Atmospheric Chemistry Paul Scherrer Institute Center for Joint Quantum Studies and Department of Physics School of Science Tianjin University Key Laboratory of Cluster Science Ministry of Education of China School of Chemistry and Chemical Engineering Beijing Institute of Technology Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3) Department of Environmental Science and Engineering Fudan University Chemistry Department University of California Center for Atmospheric Particle Studies Carnegie Mellon University Department of Chemistry Carnegie Mellon University Aerodyne Research Inc.

Transformation of low-volatility gaseous precursors to new particles affects aerosol number concentration,cloud formation and hence the *** clustering of acid and base molecules is a major mechanism driving fast nucleation and initial growth of new particles in the ***,the acid-base cluster composition,measured using state-of-the-art mass spectrometers,cannot explain the measured high formation rate of new *** we present strong evidence for the existence of base molecules such as amines in the smallest atmospheric sulfuric acid clusters prior to their detection by mass *** demonstrate that forming(H2SO4)1(amine)1is the rate-limiting step in atmospheric H2SO4-amine nucleation and the uptake of(H2SO4)1(amine)1is a major pathway for the initial growth of *** proposed mechanism is very consistent with measured new particle formation in urban Beijing,in which dimethylamine is the key base for H2SO4nucleation while other bases such as ammonia may contribute to the growth of larger *** findings further underline the fact that strong amines,even at low concentrations and when undetected in the smallest clusters,can be crucial to particle formation in the planetary boundary layer.

关键词： new particle formation acid-base nucleation aerosol polluted urban environment

Continuous and comprehensive atmospheric observations in Beijing:a station to understand the complex urban atmospheric environment

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Big Earth Data 2020年第3期4卷 295-321页

作者： Yongchun Liu Chao Yan Zemin Feng Feixue Zheng Xiaolong Fan Yusheng Zhang Chang Li Ying Zhou Zhuohui Lin Yishou Guo Ying Zhang Li Ma Wenshuo Zhou Zhikun Liu Lubna Dada Kaspar Dallenbach Jenni Kontkanen Runlong Cai Tommy Chan Biwu Chu Wei Du Lei Yao Yonghong Wang Jing Cai Juha Kangasluoma Tom Kokkonen Joni Kujansuu Anton Rusanen Chenjuan Deng Yueyun Fu Rujing Yin Xiaoxiao Li Yiqun Lu Yiliang Liu Chaofan Lian Dongsen Yang Weigang Wang Maofa Ge Yuesi Wang Douglas R.Worsnop Heikki Junninen Hong He Veli-Matti kerminen Jun Zheng Lin Wang Jingkun Jiang Tuukka Petaja Federico Bianchi Markku Kulmala Aerosol and Haze Laboratory Beijing Advanced Innovation Center for Soft Matter Science and EngineeringBeijing University of Chemical TechnologyBeijingChina Institute for Atmospheric and Earth System Research/Physics Faculty of ScienceUniversity of HelsinkiHelsinkiFinland State Key Joint Laboratory of Environment Simulation and Pollution Control State Environmental Protection Key Laboratory of Sources and Control of Air Pollution ComplexSchool of EnvironmentTsinghua UniversityBeijingChina State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijingChina Department of Environmental Science&Engineering Fudan UniversityShanghaiChina State Key Laboratory for Structural Chemistry of Unstable and Stable Species Beijing National Laboratory for Molecular SciencesInstitute of ChemistryChinese Academy of SciencesBeijingChina Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Nanjing University of Information Science&TechnologyNanjingChina State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina Aerodyne Research Inc. BillericaMassachusettsUSA Institute of Physics University of TartuTartuEstonia Joint International Research Laboratory of Atmospheric and Earth System Sciences School of Atmospheric SciencesNanjing UniversityNanjingChina

Due to profound impact on climate and human health,air quality has attracted attention from all levels of the civil *** key step in the provision of required tools for the society to tackle the complex air quality problem is to characterize it in a comprehensive manner with a long-term ***,we describe a continuous and comprehensive observation station and its accompanying state-ofthe-art instrumentation that was established to investigate the complex urban atmospheric environment in a rapidly developing Chinese *** station,located in downtown Beijing,aims to study air quality by identifying the major atmospheric pollutants and key processes determining their formation and loss mechanisms.A few hundreds of parameters are continuously measured with the state-of-the-art instruments,including trace gas concentrations,aerosol particle size distributions,and mass concentrations,covering aerosol particle chemical composition from molecules to micrometer-sized aerosol *** produced long-term,comprehensive big data with around 1�10^(11)bytes per *** this paper,we provide an overview on the facilities of the station,the instrumentation used,the workflow of continuous observations and examples of results from 2018 to 2019 and a basis for establishing a modern long-term,comprehensive atmospheric urban observation station in other megacities.

关键词： Continuous and comprehensive atmospheric observation air pollution complex photochemical smog haze new particle formation

Intense atmospheric pollution modifies weather: a case of mixed biomass burning with fossil fuel combustion pollution in eastern China

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Intense atmospheric pollution modifies weather: a case of mi...