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| 1 | Anthropogenic emission inventories in China:a review显示文摘The development of reliable anthropogenic emission inventories is essential for both understanding the sources of air pollution and designing effective air-pollution-control measures in China. However, it is challenging to quantify emissions in China accurately, given the variety of contributing sources, the complexity of the technology mix and the lack of reliable measurements. Over the last two decades,tremendous efforts have been made to improve the accuracy of emission inventories, and significant improvements have been realized. More reliable statistics and survey-based data have been used to reduce the uncertainties in activity rates and technology distributions. Local emission factors and source profiles covering various sources have been measured and reported. Based on these local databases, improved emission inventory models have been developed for power plants, large industrial plants and the residential,transportation and agricultural sectors. In this paper, we review the progress that has been made in developing inventories of anthropogenic emissions in China. We first highlight the major updates that have been made to emission inventory models and the underlying data by source category. We then summarize the sector-based estimates of emissions of different species contained in current inventories. The progress that has been made in the development of model-ready emissions is also presented. Finally, we suggest future directions for further improving the accuracy of emission inventories in China. | Meng Li Huan Liu Guannan Geng Chaopeng Hong Fei Liu Yu Song Dan Tong Bo Zheng Hongyang Cui Hanyang Man Qiang Zhang Kebin He | 2017 | National Science Review2017，4，6： | 100 |
| 2 | Enhanced secondary pollution offset reduction of primary emissions during COVID-19 lockdown in China显示文摘To control the spread of the 2019 novel coronavirus(COVID-19),China imposed nationwide restrictions on the movement of its population(lockdown)after the Chinese New Year of 2020,leading to large reductions in economic activities and associated emissions.Despite such large decreases in primary pollution,there were nonetheless several periods of heavy haze pollution in eastern China,raising questions about the well-established relationship between human activities and air quality.Here,using comprehensive measurements and modeling,we show that the haze during the COVID lockdown was driven by enhancements of secondary pollution.In particular,large decreases in NOx emissions from transportation increased ozone and nighttime NO_(3)radical formation,and these increases in atmospheric oxidizing capacity in turn facilitated the formation of secondary particulate matter.Our results,afforded by the tragic natural experiment of the COVID-19 pandemic,indicate that haze mitigation depends upon a coordinated and balanced strategy for controlling multiple pollutants. | Xin Huang Aijun Ding Jian Gao Bo Zheng Derong Zhou Ximeng Qi Rong Tang Jiaping Wang Chuanhua Ren Wei Nie Xuguang Chi Zheng Xu Liangduo Chen Yuanyuan Li Fei Che Nini Pang Haikun Wang Dan Tong Wei Qin Wei Cheng Weijing Liu Qingyan Fu Baoxian Liu Fahe Chai Steven JDavis Qiang Zhang Kebin He | 2021 | National Science Review2021，8，2： | 47 |
| 3 | Air pollution characteristics and their relationship with emissions and meteorology in the Yangtze River Delta region during 2014–2016显示文摘With rapid economic growth and urbanization, the Yangtze River Delta(YRD) region in China has experienced serious air pollution challenges. In this study, we analyzed the air pollution characteristics and their relationship with emissions and meteorology in the YRD region during 2014–2016. In recent years, the concentrations of all air pollutants, except O3,decreased. Spatially, the PM2.5, PM10, SO2, and CO concentrations were higher in the northern YRD region, and NO2 and O3 were higher in the central YRD region. Based on the number of non-attainment days(i.e., days with air quality index greater than 100), PM2.5 was the largest contributor to air pollution in the YRD region, followed by O3, PM10, and NO2.However, particulate matter pollution has declined gradually, while O3 pollution worsened.Meteorological conditions mainly influenced day-to-day variations in pollutant concentrations. PM2.5 concentration was inversely related to wind speed, while O3 concentration was positively correlated with temperature and negatively correlated with relative humidity.The air quality improvement in recent years was mainly attributed to emission reductions.During 2014–2016, PM2.5, PM10, SO2, NOx, CO, NH3, and volatile organic compound(VOC)emissions in the YRD region were reduced by 26.3%, 29.2%, 32.4%, 8.1%, 15.9%, 4.5%, and0.3%, respectively. Regional transport also contributed to the air pollution. During regional haze periods, pollutants from North China and East China aggravated the pollution in the YRD region. Our findings suggest that emission reduction and regional joint prevention and control helped to improve the air quality in the YRD region. | Tao Ma Fengkui Duan Kebin He Yu Qin Dan Tong Guannan Geng Xuyan Liu Hui Li Shuo Yang Siqi Ye Beiyao Xu Qiang Zhang Yongliang Ma | 2019 | Journal of Environmental Sciences2019，31，9： | 26 |
| 4 | Au/LaVO_(4)Nanocomposite:Preparation,Characterization,and Catalytic Activity for CO Oxidation显示文摘The size of the gold particles is a very important parameter to get active catalysts.This paper reports a novel colloidal deposition method to prepare Au/LaVO_(4)nanocomposite catalyst with monodispersed Au colloids and uniform LaVO_(4)nanoplates in nonpolar solvent.Monodispersed Au colloids with tunable size(such as 2,5,7,11,13,and 16 nm)and LaVO_(4)nanocrystals with well-defi ned shapes were pre-synthesized assisted with oleic acid/amine.During the following immobilization process,the particle size and shape of Au and LaVO_(4)were nearly preserved.As-prepared Au/LaVO_(4)nanocomposite showed high catalytic activity for CO oxidation at room temperature.Since sizes of gold particles were well-defi ned before the immobilization process,size effect of gold particles was easy to be investigated and the results show that 5-nm Au/LaVO_(4)nanocomposite has the highest activity for CO oxidation.This synthetic method can be extended further for the preparation of other composite nanomaterials. | Junfeng Liu Wei Chen Xiangwen Liu Kebin Zhou Yadong Li | 2008 | Nano Research2008，1，1： | 16 |
| 5 | Attribution of PM_(2.5) exposure in Beijing-Tianjin-Hebei region to emissions:implication to control strategies显示文摘The Beijing-Tianjin-Hebei(BTH) region is one of the most heavily polluted regions in China,with both high PM_(2.5) concentrations and a high population density.A quantitative source-receptor relationship can provide valuable insights that can inform effective emission control strategies.Both source apportionment(SA) and source sensitivity(SS) can provide such information from different perspectives.In this study,both methods are applied in northern China to identify the most significant emission categories and source regions for PM_(2.5) exposure in BTH in 2013.Despite their differences,both models show similar distribution patterns for population and simulated PM_(2.5) concentrations,resulting in overall high PM_(2.5) exposure values(approximately 110 μg/m~) and particularly high exposure values during the winter(approximately 200 μ/m~).Both methods show that local emissions play a dominant role(70%),with some contribution from surrounding provinces(e.g.,Shandong) via regional transport.The two methods also agree on the priority of local emission controls:both identify industrial,residential,and agricultural emissions as the top three categories that should be controlled locally.In addition,the effect of controlling agricultural ammonia emissions is approximately doubled when the co-benefits of reducing nitrate are considered.The synthesis of SA and SS for addressing specific categories of emissions provides a quantitative basis for the development of emission control strategies and policies for controlling PM_(2.5)in China. | Xin Li Qiang Zhang Yang Zhang Lin Zhang Yuxuan Wang Qianqian Zhang Meng Li Yixuan Zheng Guannan Geng Timothy J.Wallington Weijian Han Wei Shen Kebin He | 2017 | Science Bulletin2017，62，13： | 15 |
| 6 | Physicochemical analysis of individual atmospheric fine particles based on effective surface-enhanced Raman spectroscopy显示文摘Fine particles associated with haze pollution threaten the health of more than 400 million people in China. It is therefore of great importance to thoroughly investigate and understand their composition. To determine the physicochemical properties in atmospheric fine particles at the micrometer level, we described a sensitive and feasible surface-enhanced Raman scattering(SERS) method using Ag foil as a substrate. This novel method enhanced the Raman signal intensities up to 10,000 a.u. for ν(NO_3^-) in fine particles.The SERS effect of Ag foil was further studied experimentally and theoretically and found to have an enhancement factor of the order of ~10~4. Size-fractionated real particle samples with aerodynamic diameters of 0.4–2.5 μm were successfully collected on a heavy haze day,allowing ready observation of morphology and identification of chemical components, such as soot, nitrates, and sulfates. These results suggest that the Ag-foil-based SERS technique can be effectively used to determine the microscopic characteristics of individual fine particles, which will help to understand haze formation mechanisms and formulate governance policies. | Zhenli Sun Fengkui Duan Kebin He Jingjing Du Liu Yang Hui Li Tao Ma Shuo Yang | 2019 | Journal of Environmental Sciences2019，31，1： | 9 |
| 7 | Hydroisomerization performance of platinum supported on ZSM-22/ZSM-23 intergrowth zeolite catalyst显示文摘Hydroisomerization catalysts Pt/ZSM-22,Pt/ZSM-23,and Pt/ZSM-22/ZSM-23 were prepared by supporting Pt on ZSM-22,ZSM-23,and intergrowth zeolite ZSM-22/ZSM-23,respectively.The typical physicochemical properties of these catalysts were characterized by X-Ray Diffraction(XRD),N2 absorption-desorption,Pyridine-Fourier Transform Infrared(Py-FTIR),Transmission Electron Microscopy(TEM),X-Ray Fluorescence(XRF),Scanning Electron Microscopy(SEM) and NH3-Temperature Programmed Desorption(NH3-TPD),and the performance of these catalysts in n-dodecane hydroisomerization was evaluated in a continuous down-flow fixed bed with a stainless steel tubular reactor.The characterization results indicated that the intergrowth zeolite ZSM-22/ZSM-23 possessed the dual structure of ZSM-22 and ZSM-23,and the catalyst Pt/ZSM-22/ZSM-23 had similar pores and weak acidity to Pt/ZSM-22 and Pt/ZSM-23 catalysts.Moreover,Pt/ZSM-22/ZSM-23 catalyst showed a high selectivity in hydroisomerization of long chain n-alkanes to mono-branched isomers.The evaluation results for n-dodecane hydroisomerization indicated that the activity of Pt/ZSM-22/ZSM-23 was the lowest,while the hydroisomerization selectivity was the highest among the three catalysts.The maximum yield of i-dodecane product was 68.3% over Pt/ZSM-22/ZSM-23 at 320 oC. | Chi Kebin Zhao Zhen Tian Zhijian Hu Sheng Yan Lijun Li Tianshu Wang Bingchun Meng Xiangbin Gao Shanbin Tan Mingwei Liu Yanfeng | 2013 | Petroleum Science2013，10，2： | 8 |
| 8 | Super-resolution fluorescence-assisted diffraction computational tomography reveals the threedimensional landscape of the cellular organelle interactome显示文摘The emergence of super-resolution(SR)fluorescence microscopy has rejuvenated the search for new cellular substructures.However,SR fluorescence microscopy achieves high contrast at the expense of a holistic view of the interacting partners and surrounding environment.Thus,we developed SR fluorescence-assisted diffraction computational tomography(SR-FACT),which combines label-free three-dimensional optical diffraction tomography(ODT)with two-dimensional fluorescence Hessian structured illumination microscopy.The ODT module is capable of resolving the mitochondria,lipid droplets,the nuclear membrane,chromosomes,the tubular endoplasmic reticulum,and lysosomes.Using dual-mode correlated live-cell imaging for a prolonged period of time,we observed novel subcellular structures named dark-vacuole bodies,the majority of which originate from densely populated perinuclear regions,and intensively interact with organelles such as the mitochondria and the nuclear membrane before ultimately collapsing into the plasma membrane.This work demonstrates the unique capabilities of SR-FACT,which suggests its wide applicability in cell biology in general. | Dashan Dong Xiaoshuai Huang Liuju Li Heng Mao Yanquan Mo Guangyi Zhang Zhe Zhang Jiayu Shen Wei Liu Zeming Wu Guanghui Liu Yanmei Liu Hong Yang Qihuang Gong Kebin Shi Liangyi Chen | 2020 | Light(Science & Applications)2020，9，1： | 7 |
| 9 | Direct observation of ultrafast plasmonic hot electron transfer in the strong coupling regime显示文摘Achieving strong coupling between plasmonic oscillators can significantly modulate their intrinsic optical properties.Here,we report the direct observation of ultrafast plasmonic hot electron transfer from an Au grating array to an MoS_(2) monolayer in the strong coupling regime between localized surface plasmons(LSPs)and surface plasmon polaritons(SPPs).By means of femtosecond pump-probe spectroscopy,the measured hot electron transfer time is approximately 40 fs with a maximum external quantum yield of 1.65%.Our results suggest that strong coupling between LSPs and SPPs has synergetic effects on the generation of plasmonic hot carriers,where SPPs with a unique nonradiative feature can act as an‘energy recycle bin’to reuse the radiative energy of LSPs and contribute to hot carrier generation.Coherent energy exchange between plasmonic modes in the strong coupling regime can further enhance the vertical electric field and promote the transfer of hot electrons between the Au grating and the MoS_(2) monolayer.Our proposed plasmonic strong coupling configuration overcomes the challenge associated with utilizing hot carriers and is instructive in terms of improving the performance of plasmonic opto-electronic devices. | Hangyong Shan Ying Yu Xingli Wang Yang Luo Shuai Zu Bowen Du Tianyang Han Bowen Li Yu Li Jiarui Wu Feng Lin Kebin Shi Beng Kang Tay Zheng Liu Xing Zhu Zheyu Fang | 2019 | Light(Science & Applications)2019，8，1： | 7 |
| 10 | Air pollution and its control in China显示文摘The rapid growth of China’s economy has led to severe air pollution characterized by acid rain,severe pollu-tion in cities,and regional air pollution.High concentrations are found for various pollutants such as sulfur dioxides(SO2),nitrogen oxides(NOx),and fine particulates.Great efforts have thus been undertaken for the control of air pollution in the country.This paper discusses the development and application of appropriate technologies for reducing the major pollutants produced by coal and vehicles,and investi-gates air quality modeling as an important support for policy-making. | HAO Jiming HE Kebin DUAN Lei LI Junhua WANG Litao | 2007 | Frontiers of Environmental Science & Engineering2007，1，2： | 7 |
| 11 | Air quality during the 2008 Beijing Olympic Games显示文摘 | David G. Streets Joshua S. Fu Carey J. Jang Jiming Hao Kebin He Xiaoyan Tang Yuanhang Zhang Zifa Wang Zuopan Li Qiang Zhang Litao Wang Binyu Wang Carolyne Yu | 2006 | Atmospheric Environment2006，，3： | 6 |
| 12 | Corrigendum to Anthropogenic emission inventories in China:a review显示文摘In the Figure 4 of ‘Anthropogenic emission inventories in China:a review'(National Science Review,Volume 4,Issue 6, 2017,Pages 834-866,doi:10.1093/nsr/nwx150),the data for the MEIC vl.2 was incorrectly plotted.The corrected version of Figure 4 is presented below. | Meng Li Huan Liu Guannan Geng Chaopeng Hong Fei Liu Yu Song Ban Tong Bo Zheng Hongyang Cui Hanyang Man Qiang Zhang Kebin He | 2018 | National Science Review2018，5，4： | 5 |
| 13 | Ordered two-dimensional porous Co3O4 nanosheets as electrocatalysts for rechargeable Li-O2 batteries显示文摘Lithium-oxygen batteries have attracted considerable interest in the past a few years, because they have higher theoretical specific energy than Li-ion batteries. However, the available en ergy den sities of the Li-O2 batteries are much less than expected. It is particularly urgent to find catalyst with high activity. Herein, a series of Co3O4 with differe nt morphologies (ordered two-dimensio nal porous nano sheets, flowerlike and cuboidlike) were successfully prepared through facile hydrothermal and calcinatio n methods. Ordered two-dime nsional Co3O4 nano sheets show the best cycling stability. Detailed experimental results reveal that the superiority of the unique two-dimensional uniform porous structures is vital for Li-O2 batteries cathode catalysts. Due to the ordered structures with high surface areas and active sites, the catalysts indicate a high specific discharge capacity of about 10,417 mAh/g at a current density of 200 mA/g, and steadily cycle for more than 50 times with a limited capacity of 1,000 mAh/g. | Yu Zhang Mingzhen Hu Mengwei Yuan Genban Sun Yufeng Li Kebin Zhou Chen Chen Caiyun Nan Yadong Li | 2019 | Nano Research2019，12，2： | 3 |
| 14 | A modified image matching algorithm based on robust Hausdorff distance显示文摘Hausdorff distance measure is one of the widely adopted feature-based image matching algorithms due to its simplicity and accuracy.However,it is considered that its robustness still needs to be improved.In this paper,various forms of original and improved Hausdorff distance(HD) and their limitations are studied.Focusing on robust Hausdorff distance(RHD),an improved RHD with an adaptive outlier point threshold selection method is proposed.Furthermore,another new form of the Hausdorff distance which possesses the merits of RHD and M-HD is prsented.Finally,a recursive algorithm is introduced to accelerate the image matching speed of Hausdorff algorithms.Extensive simulation and experiment results are presented to validate the feasibility of the proposed Hausdorff distance algorithm. | 吴强 Wu Xuefeng Li Xuwen Jia Kebin | 2014 | High Technology Letters2014，20，1： | 3 |
| 15 | The impact of transportation control measures on emission reductions during the 2008 Olympic Games in Beijing, China显示文摘 | Yu Zhou Ye Wu Liu Yang Lixin Fu Kebin He Shuxiao Wang Jiming Hao Jinchuan Chen Chunyan Li | 2009 | Atmospheric Environment2009，，3： | 2 |
| 16 | The automobile steel of the third generation in B-pillar reinforced panel显示文摘The fundamental research and industry trials of the third generation automobile steel QP980 were introduced in this paper,including chemical ingredient,mechanical properties,microstructure,forming limit and basic performance parameters.The application of QP steel of the B-pillar was researched,and the QP980,DP600 and hot forming steel were compared in the aspect of formability,safety and cost.The results showed that the QP980 replacing DP600 steel single piece can reduce the weight by 2.4 kg.The security and performance is basically the same as that of hot forming steel using 22MnB5,and the cost is reduced by 30%. | Du Huijun Li Shuli Yang Jie Yang Hongxin Bai Kebin | 2012 | Engineering Sciences2012，10，6： | 2 |
| 17 | Enhancement of Fe3O4/Au Composite Nanoparticles Catalyst in Oxidative Degradation of Methyl Orange Based on Synergistic Effect显示文摘Fe 3 O 4/Au nanoparticles (Fe 3 O 4/Au NP ) 催化剂被采用 H 2 O 2 作为氧化剂。评估 Fe 3 O 4/Au nanoparticles,不同降级条件被调查例如催化剂的数量, H 2 O 2 集中和 pH 价值。基于我们的数据,甲基橘子在一短时间完全被降级。提高的催化活动和增加的氧化率常数可以被归功于到 synergistic H 2 O 2 到哦激进,它是强壮的氧化种类之一。而且, Fe 3 O 4/Au nanoparticles 展出了令人满意为潜在的工业申请再循环性能。 | Qin Gao Yan Xing Mingli Peng Yongshuai Liu Zhiyi Luo Yanyan Jin Haiming Fan Kebin Li Chao Chen Yali Cui | 2017 | Chinese Journal of Chemistry2017，35，9： | 2 |
| 18 | Identification of Weather Phenomena Based on Lightweight Convolutional Neural Networks显示文摘Weather phenomenon recognition plays an important role in the field of meteorology.Nowadays,weather radars and weathers sensor have been widely used for weather recognition.However,given the high cost in deploying and maintaining the devices,it is difficult to apply them to intensive weather phenomenon recognition.Moreover,advanced machine learning models such as Convolutional Neural Networks(CNNs)have shown a lot of promise in meteorology,but these models also require intensive computation and large memory,which make it difficult to use them in reality.In practice,lightweight models are often used to solve such problems.However,lightweight models often result in significant performance losses.To this end,after taking a deep dive into a large number of lightweight models and summarizing their shortcomings,we propose a novel lightweight CNNs model which is constructed based on new building blocks.The experimental results show that the model proposed in this paper has comparable performance with the mainstream non-lightweight model while also saving 25 times of memory consumption.Such memory reduction is even better than that of existing lightweight models. | Congcong Wang Pengyu Liu Kebin Jia Xiaowei Jia Yaoyao Li | 2020 | Computers, Materials & Continua2020，，9： | 2 |
| 19 | Recent large reduction in sulfur dioxide emissions from Chinese power plants observed by the Ozone Monitoring Instrument显示文摘 | Li Can Zhang Qiang Krotkov Nickolay A. Streets David G. He Kebin Tsay Si-Chee Gleason James F | 2010 | Geophysical Research Letters2010，，8： | 1 |
| 20 | Manipulation and spectroscopy of a single particle by use of white-light optical tweezers显示文摘 | Li Peng Shi Kebin Liu Zhiwen | 2005 | Opt Lett2005，30，2： | 1 |
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