检索结果-南通市图书馆

Assessment of health benefit of PM_(2.5) reduction during COVID-19 lockdown in China and separating contributions from anthropogenic emissions and meteorology

引用

Journal of Environmental Sciences 2022年第5期34卷 422-431页

作者： Heming Bai wenkang gao Yuanpeng Zhang Li Wang Research Center for Intelligent Information Technology Nantong UniversityNantong 226019China Nantong Research Institute for Advanced Communication Technologies Nantong 226019China State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Department of Medical Informatics Medical SchoolNantong UniversityNantong 226019China

The national lockdown policies have drastically disrupted socioeconomic activities during the COVID-19 pandemic in China,which provides a unique opportunity to investigate the air quality response to such anthropogenic disruptions.And it is meaningful to evaluate the potential health impacts of air quality changes during the lockdown,especially for PM_(2.5) with adverse health effects.In this study,by using PM_(2.5) observations from 1388 monitor-ing stations nationwide in China,we examine the PM_(2.5) variations between the COVID-19 lockdown(February and March in 2020)and the same period in 2015-2019,and find that the national average of PM_(2.5) decreases by 18 μg/m^(3),and mean PM_(2.5) for most sites(about 75%)decrease by 30%-60%.The anthropogenic and meteorological contributions to these PM_(2.5) variations are also determined by using a stepwise multiple linear regression(MLR)model combined with the Kolmogorov-Zurbenko filter.Our results show that the change of anthropogenic emissions is a leading contributor to those widespread PM_(2.5) reductions,and meteorological conditions have the negative influence on PM_(2.5) reductions for some re-gions,such as Beijing-Tianjin-Hebei(BTH).Additionally,the avoided premature death due to PM_(2.5) reduction is estimated as a predicted number based on a log-linear concentration-response function.The total avoided premature death is 9952 in China,with dominant con-tribution(94%)from anthropogenic emission changes.For BTH,Yangtze River Delta,Pearl River Delta and Hubei regions,the reductions of PM_(2.5) are 24.1,24.3,13.5 and 29.5 μg/m^(3),with the avoided premature deaths of 1066,1963,454 and 583,respectively.

关键词： Covid-19 epidemic PM_(2.5) Health benefit Meteorological and anthropogenic contributions KZ filter

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Characterization and source identification of submicron aerosol dur ing ser ious haze pollution periods in Beijing

引用

Journal of Environmental Sciences 2022年第2期34卷 25-37页

作者： Peng Xu Yuan Yang Junke Zhang wenkang gao Zirui Liu Bo Hu Yuesi Wang State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry(LAPC) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China College of Resource and Environmental Engineering Guizhou UniversityGuiyang 550025GuizhouChina Faculty of Geosciences and Environmental Engineering Southwest Jiaotong UniversityChengdu 611756China University of the Chinese Academy of Sciences Beijing 100049China

Submicron aerosol is of extensive concern not only due to its significant impact on air quality but also because it is detrimental to human health.In this study,we investigated the characteristics,sources and chemical processes of submicron aerosol based on realtime online measurements of submicron aerosols(NR-PM 1)during December 2015 at an urban site in Beijing.The average mass concentration of NR-PM 1 was 92.5±84.9μg/m^(3),the hourly maximum was 459.1μg/m^(3) during the entire observation.The organic aerosol(OA)(55%)was the largest contributor to NR-PM 1.The average mass concentration of PAHs was 0.217±0.247μg/m^(3),exhibiting the highest concentration at night and the lowest levels in the daytime.The average mass concentration of organic nitrate was 2.52±2.36μg/m^(3) and that of inorganic nitrate was 7.62±8.22μg/m^(3),accounting for 36%and 64%,respectively,of the total nitrate mass.Positive matrix factorization(PMF)differentiated the OA into five chemical components including LV-OOA,SV-OOA,COA,HOA and CCOA,accounting for 22%,16%,13%,25%and 24%respectively,of the total OA.The average NR-PM 1 mass concentration on the heavy polluted days(HPD)was 182.8±70.2μg/m^(3),which was approximately 9 times that on clean days(CD).The enhanced secondary formation of SNA was evident on HPD,especially the rapid increase of sulfate(23%)and nitrate(19%).

关键词： Haze pollution Submicron aerosol Source apportionment PAHs Organic and inorganic nitrate

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Particulate matter trends and quantification of the spring sand-dust contribution in Hohhot,Inner Mongolia,from 2013 to 2017

引用

Atmospheric and Oceanic Science Letters 2021年第2期14卷 81-86页

作者： wenkang gao Lingyun Zhu Zhanyun Ma Qingxian gao Xuepu Yu Sufen Wu Yu Gu State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric PhysicsChinese Academy of ScienceBeijingChina Environmental Monitoring Center Station of Inner Mongolia Autonomous HohhotChina Shanxi Province Institute of Meteorological Sciences Shanxi Provincial Meteorological BureauTaiyuanChina Chinese Research Academy of Environmental Sciences BeijingChina Chifeng Ecological Environment Monitoring Centre ChifengChina Shanxi Province Changzhi Meteorological Bureau ChangzhiChina

2013年9月国务院颁布了《大气污染防治行动计划》.研究其实施前后呼和浩特市大气污染物浓度变化及及原因;同时,分析了春季沙尘天气对于呼和浩特市大气环境颗粒物浓度的定量影响.结果表明:呼和浩特市大气环境质量持续改善,但大气污染物... 详细信息

2013年9月国务院颁布了《大气污染防治行动计划》.研究其实施前后呼和浩特市大气污染物浓度变化及及原因;同时,分析了春季沙尘天气对于呼和浩特市大气环境颗粒物浓度的定量影响.结果表明:呼和浩特市大气环境质量持续改善,但大气污染物浓度仍然较高.PM_(2.5)和PM10年均浓度分别超过国家二级标准22.9%和35.7%;2013-2017年春季PM_(2.5)和PM10浓度降幅较大,沙尘天气对呼和浩特市PM_(2.5),PM10,和TSP浓度的绝对贡献范围分别在0.6-5.2μg m^(-3),9.0-16.9μg m^(-3)和14.7-30.0μg m^(-3).

关键词：《大气污染防治行动计划》大气污染春季沙尘天气呼和浩特

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Characteristics of PM_(2.5) pollution in Beijing after the improvement of air quality

引用

Journal of Environmental Sciences 2021年第2期33卷 1-10页

作者： Xiaojuan Huang Guiqian Tang Junke Zhang Baoxian Liu Chao Liu Jin Zhang Leilei Cong Mengtian Cheng Guangxuan Yan wenkang gao Yinghong Wang Yuesi Wang Plateau Atmosphere and Environment Key Laboratory of Sichuan Province School of Atmospheric SciencesChengdu University of Information TechnologyChengdu 610225China State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry(LAPC) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Faculty of Geosciences and Environmental Engineering Southiuest Jiaotong UniversityChengdu 611756China Beijing Municipal Environmental Monitoring Centre Beijing 100048China Fengtai District Ecology and Environment Bureau Beijing 100071China School of Environment Henan Normal UniuersityKey Laboratory Jor YellouRiuer and Huai Riuer Water Environment and Pollution ControlMinistry of EducationHenan Key Laboratory/or EnvironmentaI Pollution ControlXinxiang 453007China

Following the implementation of the strictest clean air policies to date in Beijing,the physicochemical characteristics and sources of PM_(2.5) have changed over the past few years.To improve pollution reduction policies and subsequent air quality further,it is necessary to explore the changes in PM_(2.5) over time.In this study,over one year(2017-2018)field study based on filter sampling(TH-150C;Wuhan Tianhong,China)was conducted in Fengtai District,Beijing,revealed that the annual average PM_(2.5) concentration(64.8±43.1μg/m^3)was significantly lower than in previous years and the highest PM_(2.5) concentration occurred in spring(84.4±59.9μg/m^3).Secondary nitrate was the largest source and accounted for 25.7%of the measured PM_(2.5).Vehicular emission,the second largest source(17.6%),deserves more attention when considering the increase in the number of motor vehicles and its contribution to gaseous pollutants.In addition,the contribution from coal combustion to PM_(2.5) decreased significantly.During weekends,the contribution from EC and NO3−increased whereas the contributions from SO4^2−,OM,and trace elements decreased,compared with weekdays.During the period of residential heating,PM_(2.5) mass decreased by 23.1%,compared with non-heating period,while the contributions from coal combustion and vehicular emission,and related species increased.With the aggravation of pollution,the contribution of vehicular emission and secondary sulfate increased and then decreased,while the contribution of NO3−and secondary nitrate continued to increase,and accounted for 34.0%and 57.5%of the PM_(2.5) during the heavily polluted days,respectively.

关键词： PM_(2.5) Seasonal variations Chemical composition Source apportionment Pollution evolution

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Evolution of boundary layer ozone in Shijiazhuang,a suburban site on the North China Plain

引用

Journal of Environmental Sciences 2019年第9期31卷 152-160页

作者： Wei Zhao Guiqian Tang Huan Yu Yang Yang Yinghong Wang Lili Wang Junlin An wenkang gao Bo Hu Mengtian Cheng Xingqin An Xin Li Yuesi Wang Nanjing University of Information Science and Technology Nanjing 210044 China State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry fLAPC) Institute of Atmospheric Physics Chinese Academy of Sciences Beijing 100029 China Key Laboratory of Atmospheric Chemistry China Meteorological Administration Beijing 100081 China Department of Atmospheric Science School of Environmental Studies China University of Geosciences Wuhan 430074 China Weather Modification Office of Hebei Province Shijiazhuang 050021 China Key Laboratory of Meteorological Disaster Ministry ofEducation (KLME) Joint International Research Laboratory of Climate and Environment Change (ILCEC) Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Key Laboratory for Aerosol-Cloud- Precipitation of China Meteorological Administration Nanjing University of Information Science and Technology Nanjing 210044 China Center for Excellence in Regional Atmospheric Environment Institute of Urban Environment Chinese Academy of Sciences Xiamen 361021 China University of Chinese Academy of Sciences Beijing 100049 China

The structure of the boundary layer affects the evolution of ozone(O3), and research into this structure will provide important insights for understanding photochemical pollution.In this study, we conducted a one-month observation(from June 15 to July 14, 2016) of the boundary layer meteorological factors as well as O3 and its precursors in Luancheng County,Shijiazhuang(37°53′N, 114°38′E). Our research showed that photochemical pollution in Shijiazhuang is serious, and the mean hourly maximum and mean 8-hr maximum O3 concentrations are 97.9 ± 26.1 and 84.4 ± 22.4 ppbV, respectively. Meteorological factors play a significant role in the formation of O3. High temperatures and southeasterly winds lead to elevated O3 values, and at moderate relative humidity(40%–50%) and medium boundary layer heights(1200–1500 m), O3 production sensitivity occurred in the transitional region between volatile organic compounds(VOC) and nitrogen oxides(NOx) limitations,and the O3 concentration was the highest. The vertical profiles of O3 were also measured by a tethered balloon. The results showed that a large amount of O3 was stored in the residual layer, and the concentration was positively correlated with the O3 concentration measured the previous day. During the daytime of the following day, the contribution of O3 stored in the residual layer to the boundary layer reached 27%± 7% on average.

关键词： Ozone Boundary layer Residual layer Vertical evolution Sensitivity

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Trends in particulate matter and its chemical compositions in China from 2013–2017

引用

Science China Earth Sciences 2019年第12期62卷 1857-1871页

作者： Yuesi WANG Wenjie LI wenkang gao Zirui LIU Shili TIAN Rongrong SHEN Dongsheng JI Shuai WANG Lili WANG Guiqian TANG Tao SONG Mengtian CHENG Gehui WANG Zhengyu GONG Jiming HAO Yuanhang ZHANG State Key Laboratory of Atmospheric Boundary Lacer Physics and Atmospheric Chemistry(LAPC) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China China National Environmental Monitoring Centre Beijing 100012China Key Laboratory of Geographic Information Science of the Ministry of Education School of Geographic SciencesEast China Normal UniversityShanghai 200241China School of Environment Tsinghua UniversityBeijing 100084China College of Environmental Sciences and Engineering Peking UniversityBeijing 100871China University of Chinese Academy of Sciences Beijing 100049China College of Atmospheric Science Lanzhou UniversityLanzhou 730000China Center for Excellence in Regional Atmospheric Environment Institute of Urban EnvironmentChinese Academy of SciencesXiamen 361021China

Accurate determination of the atmospheric particulate matter mass concentration and chemical composition is helpful in exploring the causes and sources of atmospheric enthalpy pollution and in evaluating the rationality of environmental air quality control strategies.Based on the sampling and chemical composition data of PM2.5 in different key regions of China in the CARE-China observation network,this research analyzes the environmental air quality data released by the China National Environmental Monitoring Centre during the studied period to determine the changes in the particulate matter mass concentration in key regions and the evolution of the corresponding chemical compositions during the implementation of the Action Plan for Prevention and Control of Air Pollution from 2013-2017.The results show the following.(1)The particulate matter mass concentration in China showed a significant downward trend;however,the PM2.5 annual mass concentration in 64%of cities exceeds the New Chinese Ambient Air Quality Standard(CAAQS)GradeⅡ(GB3095-2012).The region to the east of the Taihang Mountains,the Fenhe and Weihe River Plain and the Urumqi-Changji regions in Xinjiang,all have PM2.5 concentration loading that is still high,and heavy haze pollution occurred frequently in the autumn and winter.(2)During the heavy pollution in the autumn and winter,the concentrations of sulfate and organic components decreased significantly.The mean SO42-concentration in PM2.5 decreased by 76%,12%,81%and 38%in Beijing-Tianjin-Hebei(BTH),the Pearl River Delta(PRD),the Sichuan-Chongqing region(SC)and the Fenhe and Weihe River Plain,respectively.The mean organic matter(OM)concentration decreased by 70%,44%,48%and 31%,respectively,and the mean concentration of NH4+decreased by 68%,1.6%,38%and 25%,respectively.The mean elemental carbon(EC)concentration decreased by 84%and 20%in BTH and SC,respectively,and it increased by 61%and 11%in the PRD and Fenhe and Weihe River Plain,respectively.The mean concentration of mineral and unresolved chemical

关键词： PM2.5 Action Plan for Prevention and Control of Air Pollution,Key regions Chemical composition Particle size distribution Variation characteristics

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

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

引用

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

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

大型叠层笼养肉鸡舍气流组织模拟与优化

引用

青岛理工大学学报 2024年第2期45卷 147-154页

作者：纪文康施志钢张璐瑶王琪琪高新明青岛理工大学环境与市政工程学院青岛266525 山东信得科技股份有限公司潍坊262200

针对大型叠层笼养肉鸡舍过渡性通风模式下温度分布不均的问题,通过现场实测建立三维数学模型,采用计算流体动力学方法对试验鸡舍进行气流组织模拟分析,提出改进方案并进行测试验证。结果显示:鸡舍内部气流分布不均,大部分气流从鸡舍上... 详细信息

针对大型叠层笼养肉鸡舍过渡性通风模式下温度分布不均的问题,通过现场实测建立三维数学模型,采用计算流体动力学方法对试验鸡舍进行气流组织模拟分析,提出改进方案并进行测试验证。结果显示:鸡舍内部气流分布不均,大部分气流从鸡舍上方空间流出舍外,未与肉鸡充分换热;鸡舍长度方向上温差大,前后最大温差可达4℃,给整体调控带来难度。在天花板下安装导流板可以明显增加肉鸡生活区气流速度,肉鸡生活区域平均风速提高了29%~61%,有效提高了室外空气利用率和鸡舍换热效率,使前后温差控制在2℃以内。研究表明天花板下导流板的合理使用可以有效改善鸡舍气流组织,使鸡舍内温度保持良好的均匀性。

关键词：肉鸡舍过渡性通风计算流体动力学气流组织

来源：

维普期刊数据库博看期刊

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Au23(CR)14 nanocluster restores fibril Aβ's unfolded state with abolished cytotoxicity and dissolves endogenous Aβplaques

引用

National Science Review 2020年第4期7卷 763-774页

作者： wenkang Zhang Guanbin gao Zhongjie Ma Zhuoying Luo Meng He Taolei Sun State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology School of Chemistry Chemical Engineering and Life Science Wuhan University of Technology

The misfolding of amyloid-β(Aβ) peptides from the natural unfolded state to β-sheet structure is a critical step, leading to abnormal fibrillation and formation of endogenous Aβ plaques in Alzheimer’s disease(AD). Previous studies have reported inhibition of Aβ fibrillation or disassembly of exogenous Aβ fibrils in vitro. However, soluble Aβ oligomers have been reported with increased cytotoxicity; this might partly explain why current clinical trials targeting disassembly of Aβ fibrils by anti-Aβ antibodies have failed so far.Here we show that Au23(CR)14(a new Au nanocluster modified by Cys-Arg(CR) dipeptide) is able to completely dissolve exogenous mature Aβ fibrils into monomers and restore the natural unfolded state of Aβ peptides from misfolded β-sheets. Furthermore, the cytotoxicity of Aβ40fibrils when dissolved by Au23(CR)14is fully abolished. More importantly, Au23(CR)14is able to completely dissolve endogenous Aβ plaques in brain slices from transgenic AD model mice. In addition, Au23(CR)14has good biocompatibility and infiltration ability across the blood–brain barrier. Taken together, this work presents a promising therapeutics candidate for AD treatment, and manifests the potential of nanotechnological approaches in the development of nanomedicines.

关键词： gold nanoclusters Alzheimer’s disease restores fibril Aβ’s unfolded state abolished cytotoxicity dissolves endogenous Aβ plaques

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

2014-2017年华北平原PM_(2.5)组分消光与能见度对比研究

引用

Atmospheric and Oceanic Science Letters 2021年第2期14卷 67-73页

作者： Xinrui Wu Jinyuan Xin Xiaoling Zhang Ruirui Si Guangjing Liu An’na Li Tianxue Wen Zirui Liu Shigong Wang Guangzhou Fan Yuesi Wang Lili Wang wenkang gao Plateau Atmosphere and Environment Key Laboratory of Sichuan Province School of Atmospheric SciencesChengdu University of Information TechnologyChengduChina State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry(LAPC) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science&TechnologyNanjingChina

华北平原大气污染与低能见度状况一直是人们关切的问题.本文通过分析2014-2017年PM_(2.5)化学成分的浓度和消光效果,研究了华北平原典型城市保定市的大气污染特征.结果表明,PM_(2.5)分的年均浓度显示下降趋势,水溶性无机离子,碳质气溶... 详细信息

华北平原大气污染与低能见度状况一直是人们关切的问题.本文通过分析2014-2017年PM_(2.5)化学成分的浓度和消光效果,研究了华北平原典型城市保定市的大气污染特征.结果表明,PM_(2.5)分的年均浓度显示下降趋势,水溶性无机离子,碳质气溶胶和金属元素分别减少了11μgm^(-3),23μg m^(-3)和1796 ngm^(-3).NH_(4)^(+),NO_(3)^(-)和SO_4^(2-)是PM_(2.5)污染的主要污染物,三者之和占总离子浓度的82.9%.基于IMPROVE方程对细颗粒物进行重构,在观测期间PM_(2.5)质量浓度平均为93±69μgm^(-1),春季,夏季,秋季和冬季的消光系数分别为373.8±233.6 Mm^(-1)±,405.3±300.1 Mm^(-1),554.3±378.2 Mm^(-1)和1005.2±750.3 Mm^(-1).硫酸铵,硝酸铵和有机物对消光的贡献最大,不同季节下占比达55%~77%.通过PM_(2.5)组分进行重构,利用IMPROVE算法计算得到Rb_(sca),用能见度测量值转换得到Vb_(sca),二者具有较高的相关性(r^(2)=0.84);但存在Vb_(sca)的高值被低估,Vb_(sca)的低值被高估的现象;特别是当Rb_(sca)>1123 Mm^(-1)(对应能见度约小于2.0 km)时,Vb_(sca)的值被低估了17.6%.高浓度PM_(2.5)和高湿度对IMPROVE算法结果有显著的影响.

关键词： PM_(2.5) 化学组分能见度 IMPROVE算法消光

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：