首站-论文投稿智能助手
典型文献
Lockdown-induced Urban Aerosol Change over Changchun,China During COVID-19 Outbreak with Polarization LiDAR
文献摘要:
Depending on various government policies,COVID-19(Corona Virus Disease-19)lockdowns have had diverse impacts on global aerosol concentrations.In 2022,Changchun,a provincial capital city in Northeast China,suffered a severe COVID-19 outbreak and implemented a very strict lockdown that lasted for nearly two months.Using ground-based polarization Light Detection and Ran-ging(LiDAR),we detected real-time aerosol profile parameters(EC,extinction coefficient;DR,depolarization ratio;AOD,aerosol op-tical depth),as well as air-quality and meteorological indexes from 1 March to 30 April in 2021 and 2022 to quantify the effects of lock-down on aerosol concentrations.The period in 2022 was divided into three stages:pre-lockdown(1-10 March),strict lockdown(11 March to 10 April),and partial lockdown(11-30 April).The results showed that,during the strict lockdown period,compared with the pre-lockdown period,there were substantial reductions in aerosol parameters(EC and AOD),and this was consistent with the concentra-tions of the atmospheric pollutants PM2.5(particulate matter with an aerodynamic diameter<2.5 pm)and PM10(particulate matter with an aerodynamic diameter<10 pm),and the 03 concentration increased by 8.3%.During the strict lockdown,the values of EC within 0-1 km and AOD decreased by 16.0%and 11.2%,respectively,as compared to the corresponding period in 2021.Lockdown reduced the conventional and organized emissions of air pollutants,and it clearly delayed the time of seasonal emissions from agricultural burn-ing;however,it did not decrease the number of farmland fire points.Considering meteorological factors and eliminating the influence of wind-blown dust events,the results showed that reductions from conventional organized emission sources during the strict lockdown contributed to a 30%air-quality improvement and a 22%reduction in near-surface extinction(0-2 km).Aerosols produced by urban epidemic prevention and disinfection can also be identified using the EC.Regarding seasonal sources of agricultural straw burning,the concentrated burning induced by the epidemic led to the occurrence of heavy pollution from increased amounts of atmospheric aerosols,with a contribution rate of 62%.These results indicate that there is great potential to further improve air quality in the local area,and suggest that the comprehensive use of straw accompanied by reasonable planned burning is the best way to achieve this.
文献关键词:
作者姓名:
CHEN Weiwei;DUANMU Lingjian;QIN Yang;YANG Hongwu;FU Jing;LU Chengwei;FENG Wei;GUO Li
作者机构:
Key Laboratory of Wetland Ecology and Environment,Northeast Institute of Geography and Agroecology,Chinese Academy of Sci-ences,Changchun 130102,China;College of Biological and Agricultural Engineering,Jilin University,Changchun 130022,China;Jilin Provincial Ecological Environment Monitoring Center,Changchun 130012,China;Hongke Photonics Company,Liaoyuan 136200,China;The Department of Ophthalmology,The First Hospital of Jilin University,Changchun 130021,China;Key Lab of Groundwater Resources and Environment,Jilin University,Changchun 130021,China
引用格式:
[1]CHEN Weiwei;DUANMU Lingjian;QIN Yang;YANG Hongwu;FU Jing;LU Chengwei;FENG Wei;GUO Li-.Lockdown-induced Urban Aerosol Change over Changchun,China During COVID-19 Outbreak with Polarization LiDAR)[J].中国地理科学(英文版),2022(05):824-833
A类:
B类:
Lockdown,induced,Urban,Change,Changchun,China,During,Outbreak,Polarization,LiDAR,Depending,various,government,policies,Corona,Virus,Disease,lockdowns,have,had,diverse,impacts,global,concentrations,In,provincial,capital,city,Northeast,suffered,severe,outbreak,implemented,very,strict,that,lasted,nearly,two,months,Using,ground,Light,Detection,Ran,ging,detected,real,profile,parameters,EC,extinction,coefficient,DR,depolarization,AOD,op,tical,depth,well,air,quality,meteorological,indexes,from,March,April,quantify,effects,period,was,divided,into,three,stages,partial,results,showed,during,compared,there,were,substantial,reductions,this,consistent,atmospheric,pollutants,PM2,particulate,matter,aerodynamic,diameter,pm,PM10,increased,by,values,within,decreased,respectively,corresponding,reduced,conventional,organized,emissions,clearly,delayed,seasonal,agricultural,however,did,not,number,farmland,fire,points,Considering,factors,eliminating,influence,wind,blown,dust,events,sources,contributed,improvement,surface,Aerosols,produced,urban,epidemic,prevention,disinfection,can,also,identified,using,Regarding,straw,burning,concentrated,led,occurrence,heavy,pollution,amounts,aerosols,contribution,These,indicate,great,potential,further,local,area,suggest,comprehensive,use,accompanied,reasonable,planned,best,way,achieve
AB值:
0.528767
相似文献
Detection and Attribution of Changes in Thermal Discomfort over China during 1961?2014 and Future Projections
Wanling LI;Xin HAO;Li WANG;Yuqing LI;Jiandong LI;Huixin LI;Tingting HAN-Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster,Ministry of Education,Nanjing University of Information Science and Technology,Nanjing 210044,China;Nansen-Zhu International Research Center,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China;Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control,Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology,School of Environmental Science and Engineering,Nanjing University of Information Science& Technology,Nanjing 210044,China
Simulating Aerosol Optical Depth and Direct Radiative Effects over the Tibetan Plateau with a High-Resolution CAS FGOALS-f3 Model
Min ZHAO;Tie DAI;Hao WANG;Qing BAO;Yimin LIU;Hua ZHANG;Guangyu SHI-State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science and Technology,Nanjing 210044,China;University of Chinese Academy of Sciences,Beijing 100049,China;International Center for Climate and Environment Science,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China;State Key Laboratory of Severe Weather,Chinese Academy of Meteorological Sciences,Beijing 100081,China
Projections of surface air temperature and precipitation in the 21st century in the Qilian Mountains,Northwest China,using REMO in the CORDEX
Lan-Ya LIU;Xue-Jia WANG;Xiao-Hua GOU;Mei-Xue YANG;Zi-Han ZHANG-Key Laboratory of Western China's Environmental Systems(Ministry of Education),College of Earth and Environmental Sciences,Lanzhou University,Lanzhou 730000,China;Gansu Liancheng Forest Ecosystem Field Observation and Research Station,Lanzhou University,Lanzhou 730333,China;State Key Laboratory of Cryospheric Science,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China;Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou730000, China; Gansu Liancheng Forest Ecosystem Field Observation and Research Station, Lanzhou University, Lanzhou 730333, China
机标中图分类号,由域田数据科技根据网络公开资料自动分析生成,仅供学习研究参考。