|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Chemical composition of PM_(2.5) during winter in Tianjin,China显示文摘PM2.5 samples for 24 h were collected during winter in Tianjin,China. The ambient mass concentration and chemical composition of the PM2.5 were determined. Ionic species were analyzed by ion chromatog-raphy,while carbonaceous species were determined with the IMPROVE thermal optical reectance(TOR) method,and inorganic elements were measured by inductively coupled plasma-atomic emission spec-trometer. The daily PM2.5 mass concentrations ranged from 48.2 to 319.2 g/m3 with an arithmetic average of 144.6 g/m3. The elevated PM2.5 in winter was mostly attributed to combustion sources such as vehicle exhaust,heating,cooking and industrial emissions,low wind speeds and high relative humidity(RH) ,which were favorable for pollutant accumulation and formation of secondary pollutants. By chem-ical mass balance,it was estimated that about 89.1% of the PM2.5 mass concentrations were explained by carbonaceous species,secondary particles,crustal matters,sea salt and trace elements. Organic material was the largest contributor,accounting for about 32.7% of the total PM2.5 mass concentrations. SO42-,NO3-,Cl- and NH4+ were four major ions,accounting for 16.6%,11.5%,4.7% and 6.0%,respectively,of the total mass of PM2.5. | Jinxia Gu Zhipeng Bai Weifang Li Liping Wu Aixia Liu Haiyan Dong Yiyang Xie | 2011 | Particuology2011，9，3： | 60 |
| 2 | Using geoaccumulation index to study source profiles of soil dust in China显示文摘TSP (有空气动力学的 diameters<=100 亩 m 的大气的微粒事) 和 PM10 (有空气动力学的 diameters<=10 亩 m 的大气的微粒事) 的来源分配研究表明了土壤灰尘是在中国的这些微粒的重要来源。在这研究,土壤灰尘的污染通过一个 geoaccumulation 索引(I_(geo )) 的使用被估计。 17 个元素的集体集中侧面( Na , Mg ,艾尔, K , Ca , Ti , V , Cr , Mn , Fe ,公司, Ni , Cu , Zn , Br , Ba ,并且 Pb )被建立因为来自 15 个城市的土壤的城市的土壤 dusts.Geochemical 作文被用来代表背景城市的土壤作文。这研究的结果显示很多个城市被在两尺寸部分(TSP 和 PM10 ) 包含 Ca, Cr, Ni,和 Cu 的微粒严重地弄脏。有 Zn, Pb,公司,和 Br 的污染对中等严重(I_(geo )>2 ) 。艾尔和 Fe 集中不足够高让他们被认为沾染物。 | JI Yaqin FENG Yinchang WU Jianhui ZHU Tan BAI Zhipeng DUAN Chiqing | 2008 | Journal of Environmental Sciences2008，20，5： | 35 |
| 3 | Characteristics of organic and elemental carbon in atmospheric fine particles in Tianjin,China显示文摘PM2.5 samples were collected at urban, industrial and coastal sites in Tianjin during winter, spring and summer in 2007. Concentrations of elemental carbon (EC) and organic carbon (OC) were analyzed using the IMPROVE thermal-optical reflectance (TOR) method. Both OC and EC exhibited a clear seasonal pattern with higher concentrations observed in the winter than in the spring and summer, due to cooperative effect of changes in emission rates and seasonal meteorology. The concentrations of carbonaceous species were also influenced by the local factors at different sampling sites, ranking in the order of industrial > urban > coastal during winter and spring. In the summer, the port emissions, enriched with EC, had a significant impact on carbonaceous aerosols at the coastal site. Total carbonaceous aerosol accounted for 40.0% in winter, 33.8% in spring and 31.4% in summer of PM2.5 mass. Good correlation (R = 0.84-0.93) between OC and EC indicated that they had common dominant sources of combustion such as coal burning and traffic emissions. The daily average OC/EC ratios ranged from 2.1 to 9.1, the elevated OC/EC ratios being found in the winter. The estimated secondary organic carbon (SOC) accounted for 46.9%, 35.3% and 40.2% of the total OC in the winter, spring and summer, respectively, indicating that SOC may be an important contributor to fine organic aerosol in Tianjin. | Weifang Li Zhipeng Bai | 2009 | Particuology2009，7，6： | 35 |
| 4 | Characteristics of atmospheric single particles during haze periods in a typical urban area of Beijing:A case study in October,2014显示文摘To investigate the composition and possible sources of particles, especially during heavy haze pollution, a single particle aerosol mass spectrometer(SPAMS) was deployed to measure the changes of single particle species and sizes during October of 2014, in Beijing. A total of 2,871,431 particles with both positive and negative spectra were collected and characterized in combination with the adaptive resonance theory neural network algorithm(ART-2a). Eight types of particles were classified: dust particles(dust, 8.1%), elemental carbon(EC, 29.0%), organic carbon(OC, 18.0%), EC and OC combined particles(ECOC, 9.5%),Na-K containing particles(Na K, 7.9%), K-containing particles(K, 21.8%), organic nitrogen and potassium containing particles(KCN, 2.3%), and metal-containing particles(metal,3.6%). Three haze pollution events(P1, P2, P3) and one clean period(clean) were analyzed,based on the mass and number concentration of PM_(2.5)and the back trajectory results from the hybrid single particle Lagrangian integrated trajectory model(Hysplit-4 model). Results showed that EC, OC and K were the major components of single particles during the three haze pollution periods, which showed clearly increased ratios compared with those in the clean period. Results from the mixing state of secondary species of different types of particles showed that sulfate and nitrate were more readily mixed with carbon-containing particles during haze pollution episodes than in clean periods. | Lang Liu Yanli Wang Shiyong Du Wenjie Zhang Lujian Hou Sverre Vedal Bin Han Wen Yang Mindong Chen Zhipeng Bai | 2016 | Journal of Environmental Sciences2016，28，2： | 19 |
| 5 | A land use regression for predicting NO_2 and PM_(10) concentrations in different seasons in Tianjin region,China显示文摘Land use regression (LUR) model was employed to predict the spatial concentration distribution of NO2 and PM10 in the Tianjin region based on the environmental air quality monitoring data. Four multiple linear regression (MLR) equations were established based on the most significant variables for NO2 in heating season (R2 = 0.74), and non-heating season (R2 = 0.61) in the whole study area; and PM10 in heating season (R2 = 0.72), and non-heating season (R2 = 0.49). Maps of spatial concentration distribution for NO2 and PM10 were obtained based on the MLR equations (resolution is 10 km). Intercepts of MLR equations were 0.050 (NO2, heating season), 0.035 (NO2, non-heating season), 0.068 (PM10, heating season), and 0.092 (PM10, non-heating season) in the whole study area. In the central area of Tianjin region, the intercepts were 0.042 (NO2, heating season), 0.043 (NO2, non-heating season), 0.087 (PM10, heating season), and 0.096 (PM10, non-heating season). These intercept values might imply an area’s background concentrations. Predicted result derived from LUR model in the central area was better than that in the whole study area. R2 values increased 0.09 (heating season) and 0.18 (non-heating season) for NO2, and 0.08 (heating season) and 0.04 (non-heating season) for PM10. In terms of R2, LUR model performed more effectively in heating season than non-heating season in the study area and gave a better result for NO2 compared with PM10. | Li Chen Zhipeng Bai Shaofei Kong Bin Han Yan You Xiao Ding Shiyong Du Aixia Liu | 2010 | Journal of Environmental Sciences2010，22，9： | 12 |
| 6 | Chemical composition, mass closure and sources of atmospheric PM_(10) from industrial sites in Shenzhen, China显示文摘Concentrations of atmospheric PM10 and chemical components (including twenty-one elements, nine ions, organic carbon (OC) and elemental carbon (EC)) were measured at five sites in a heavily industrial region of Shenzhen, China in 2005. Results showed that PM10 concentrations exhibited the highest values at 264 μg/m3 at the site near a harbor with the influence of harbor activities. Sulfur exhibited the highest concentrations (from 2419 to 3995 ng/m3) of all the studied elements, which may be related to the influence of coal used as fuel in this area for industrial plants. This was verified by the high mass percentages of SO42-, which accounted for 34.3%-39.7% of the total ions. NO3-/SO42- ratios varied from 0.64-0.71, which implies coal combustion was predominant compared with vehicle emission. The anion/cation ratios range was close to 0.95, indicating anion deficiency in this region. The harbor site showed the highest OC and EC concentrations, with the influence of emission from vessels. Secondary organic carbon accounted for about 22.6%-38.7% of OC, with the highest percentage occurring at the site adjacent to a coal-fired power plant and wood plant. The mass closure model performed well in this heavily industrial region, with significant correlation obtained between chemically determined and gravimetrically measured PM10 mass. The main constituents of PM10 were found to be organic materials (30.9%-69.5%), followed by secondary inorganic aerosol (7.9%-25.0%), crustal materials (6.7%-13.8%), elemental carbon (3.5%-10.8%), sea salt (2.4%-6.2%) and trace elements (2.0%-4.9%) in this heavily industrialized region. Principal component analysis indicated that the main sources for particulate matter in this industrial region were crustal materials and coal/wood combustion, oil combustion, secondary aerosols, industrial processes and vehicle emission. | Gang Wu Xin Du Xuefang Wu Xiao Fu Shaofei Kong Jianhua Chen Zongshuang Wang Zhipeng Bai | 2013 | Journal of Environmental Sciences2013，25，8： | 11 |
| 7 | Distributions and sources of n-alkanes in PM_(2.5) at urban,industrial and coastal sites in Tianjin,China显示文摘Aliphatic hydrocarbons(n-alkanes) associated with fine particulate matter were determined in the ambient air of urban,industrial and coastal areas in Tianjin,China,where intensive coal burning for industrial and domestic purpose takes place.n-Alkane homologues from C12 to C35 were quantifiable in all samples with C20-C31 being the most abundant species.Average concentrations of the total n-alkanes were 148.7,250.1 and 842.0 ng/m3 in July,April and January,respectively.Seasonal variations were mainly attributed to ambient temperature changes and coal combustion for residential heating.Among the three studied areas,the highest levels of n-alkanes were observed in the industrial complex in winter and spring,but in summer the coastal alkane concentration moved up to the highest. A mono-modal distribution for n-alkanes was observed in spring and summer with odd carbon number predominance and a maximum centered at C27-C31,suggesting the release of plant wax into the atmosphere.The bimodal distribution with maxima at C22 and C26 observed in winter indicated a substantial influence of fossil fuel sources.All the CPIs(CPI1,CPI2,CPI3) values,varying between 0.64 and 1.97,indicated the influence of anthropogenic emissions on fine organic aerosols.The estimated contributions of plant wax to total n-alkanes were on average of 12.9%,19.1%and 26.1%for winter,spring and summer,respectively. | Weifang Li Yue Peng Zhipeng Bai | 2010 | Journal of Environmental Sciences2010，22，10： | 8 |
| 8 | Emission factors of polycyclic aromatic hydrocarbons from domestic coal combustion in China显示文摘Domestic coal stove is widely used in China, especially for countryside during heating period of winter, and polycyclic aromatic hydrocarbons(PAHs) are important in flue gas of the stove. By using dilution tunnel system, samples of both gaseous and particulate phases from domestic coal combustion were collected and 18 PAH species were analyzed by GC-MS. The average emission factors of total 18 PAH species was 171.73 mg/kg, ranging from 140.75 to 229.11 mg/kg for bituminous coals, while was 93.98 mg/kg, ranging from 58.48 to 129.47 mg/kg for anthracite coals. PAHs in gaseous phases occupied 95% of the total of PAHs emission of coal combustion. In particulate phase, 3-ring and 4-ring PAHs were the main components, accounting for 80% of the total particulate PAHs. The total toxicity potency evaluated by benzo[a]pyrene-equivalent carcinogenic power, sum of 7 carcinogenic PAH components and 2,3,7,8-tetrachlorodibenzodioxin had a similar tendency. And as a result, the toxic potential of bituminous coal was higher than that of anthracite coal. Efcient emission control should be conducted to reduce PAH emissions in order to protect ecosystem and human health. | Chunmei Geng Jianhua Chen Xiaoyang Yang Lihong Ren Baohui Yin Xiaoyu Liu Zhipeng Bai | 2014 | Journal of Environmental Sciences2014，26，1： | 8 |
| 9 | Emission factors, ozone and secondary organic aerosol formation potential of volatile organic compounds emitted from industrial biomass boilers显示文摘To evaluate the potential benefits of biomass use for air pollution control, this paper identified and quantified the emissions of major reactive organic compounds anticipated from biomass-fired industrial boilers. Wood pellets(WP) and straw pellets(SP) were burned to determine the volatile organic compound emission profiles for each biomass-boiler combination. More than 100 types of volatile organic compounds(VOCs) were measured from the two biomass boilers. The measured VOC species included alkanes, alkenes and acetylenes, aromatics, halocarbons and carbonyls. A single coal-fired boiler(CB) was also studied to provide a basis for comparison. Biomass boiler 1(BB1) emitted relatively high proportions of alkanes(28.9%–38.1% by mass) and alkenes and acetylenes(23.4%–40.8%),while biomass boiler 2(BB2) emitted relatively high proportions of aromatics(27.9%–29.2%)and oxygenated VOCs(33.0%–44.8%). The total VOC(TVOC) emission factors from BB1(128.59–146.16 mg/kg) were higher than those from BB2(41.26–85.29 mg/kg). The total ozone formation potential(OFP) ranged from 6.26 to 81.75 mg/m^3 with an average of 33.66 mg/m^3 for the two biomass boilers. The total secondary organic aerosol potential(SOAP) ranged from 61.56 to 211.67 mg/m^3 with an average of 142.27 mg/m^3 for the two biomass boilers.The emission factors(EFs) of TVOCs from biomass boilers in this study were similar to those for industrial coal-fired boilers with the same thermal power. These data can supplement existing VOC emission factors for biomass combustion and thus enrich the VOC emission inventory. | Chunmei Geng Wen Yang Xuesong Sun Xinhu Wang Zhipeng Bai Xia Zhang | 2019 | Journal of Environmental Sciences2019，31，9： | 8 |
| 10 | A land use regression model incorporating data on industrial point source pollution显示文摘Advancing the understanding of the spatial aspects of air pollution in the city regional environment is an area where improved methods can be of great benefit to exposure assessment and policy support. We created land use regression (LUR) models for SO2, NO2 and PM10 for Tianjin, China. Traffic volumes, road networks, land use data, population density, meteorological conditions, physical conditions and satellite-derived greenness, brightness and wetness were used for predicting SO2, NO2 and PM10 concentrations. We incorporated data on industrial point sources to improve LUR model performance. In order to consider the impact of different sources, we calculated the PSIndex, LSIndex and area of different land use types (agricultural land, industrial land, commercial land, residential land, green space and water area) within different buffer radii (1 to 20 km). This method makes up for the lack of consideration of source impact based on the LUR model. Remote sensing-derived variables were significantly correlated with gaseous pollutant concentrations such as SO2 and NO2. R2 values of the multiple linear regression equations for SO2, NO2 and PM10 were 0.78, 0.89 and 0.84, respectively, and the RMSE values were 0.32, 0.18 and 0.21, respectively. Model predictions at validation monitoring sites went well with predictions generally within 15% of measured values. Compared to the relationship between dependent variables and simple variables (such as traffic variables or meteorological condition variables), the relationship between dependent variables and integrated variables was more consistent with a linear relationship. Such integration has a discernable influence on both the overall model prediction and health effects assessment on the spatial distribution of air pollution in the city region. | Li Chen Yuming Wang Peiwu Li Yaqin Ji Shaofei Kong Zhiyong Li Zhipeng Bai | 2012 | Journal of Environmental Sciences2012，24，7： | 7 |
| 11 | Relational pattern of urbanization and economic development:Parameter re-evaluation of the Chenery model显示文摘研究证明了在过去的 50 年在在都市化和经济开发之间的量的关系中有一个重要变化。由于这个变化, Chenery 模型不再能够执行这些参数的比较分析。我们根据 Chenery 模型执行了在都市化和经济开发之间的关系的正常表格的回归分析。我们从 1990 ~ 2009 从 149 个国家和区域使用了实验数据并且收养了双对数的模特儿,介绍为都市化的一个时间系列变量。从 1990 ~ 2009,与在美金 1000 和 10,000 之间留下的一项人均的粗野国家收入,都市化率从 17.78 ~ 60.36% 变化了,关系匹配数据因此变化了,尽管都市化的率的上面的限制在大约 75% 点留下了。在有一种更小的人口尺寸的国家的都市化是经济开发与大、中等的大小的人口在国家比都市化影响的更多。 | CHEN Mingxing TANG Zhipeng BAI Yongping ZHANG Xiaoping | 2015 | Journal of Geographical Sciences2015，25，8： | 7 |
| 12 | Quantifying public health benefits of environmental strategy of PM2.5 air quality management in Beijing–Tianjin–Hebei region,China显示文摘In 2013,China issued 'Air Pollution Prevention and Control Action Plan(Action Plan)' to improve air quality.To assess the benefits of this program in Beijing-Tianjin-Hebei(BTH)region,where the density of population and emissions vary greatly,we simulated the air quality benefit based on Ben MAP to satisfy the Action Plan.In this study,we estimate PM_(2.5) concentration using Voronoi spatial interpolation method on a grid with a spatial resolution of 1 × 1 km^2.Combined with the exposure-response function between PM_(2.5) concentration and health endpoints,health effects of PM_(2.5) exposure are analyzed.The economic loss is assessed by using the willingness to pay(WTP) method and human capital(HC) method.When the PM_(2.5) concentration falls by 25% in BTH and reached 60 μg/m^3 in Beijing,the avoiding deaths will be in the range of 3175 to 14051 based on different functions each year.Of the estimated mortality attributable to all causes,3117 annual deaths were due to lung cancer,1924 – 6318 annual deaths were due to cardiovascular,and343 – 1697 annual deaths were due to respiratory.Based on WTP,the estimated monetary values for the avoided cases of all cause mortality,cardiovascular mortality,respiratory mortality and lung cancer ranged from 1110 to 29632,673 to 13325,120 to 3579,1091 to 6574 million yuan,respectively.Based on HC,the corresponding values for the avoided cases of these four mortalities were 267 to 1178,161 to 529,29 to 143 and 261 million yuan,respectively. | Li Chen Mengshuang Shi Suhuan Li Shuang Gao Hui Zhang Yanling Sun Jian Mao Zhipeng Bai Zhongliang Wang Jiang Zhou | 2017 | Journal of Environmental Sciences2017，29，7： | 6 |
| 13 | Gravimetric analysis for PM_(2.5) mass concentration based on year-round monitoring at an urban site in Beijing显示文摘Daily PM_(2.5)(particulate matter with an aerodynamic diameter of below 2.5 μm) mass concentrations were measured by gravimetric analysis in Chinese Research Academy of Environmental Sciences(CRAES), in the northern part of the Beijing urban area, from December 2013 to April 2015. Two pairs of Teflon(T1/T2) and Quartz(Q1/Q2) samples were obtained, for a total number of 1352 valid filters. Results showed elevated pollution in Beijing,with an annual mean PM_(2.5)mass concentration of 102 μg/m^3. According to the calculated PM_(2.5)mass concentration, 50% of our sampling days were acceptable(PM_(2.5)< 75 μg/m^3), 30% had slight/medium pollution(75–150 μg/m^3), and 7% had severe pollution(> 250 μg/m^3). Sampling interruption occurred frequently for the Teflon filter group(75%) in severe pollution periods,resulting in important data being missing. Further analysis showed that high PM_(2.5)combined with high relative humidity(RH) gave rise to the interruptions. The seasonal variation of PM_(2.5)was presented, with higher monthly average mass concentrations in winter(peak value in February, 422 μg/m^3), and lower in summer(7 μg/m^3 in June). From May to August, the typical summer period, least severe pollution events were observed, with high precipitation levels accelerating the process of wet deposition to remove PM_(2.5). The case of February presented the most serious pollution, with monthly averaged PM_(2.5)of 181 μg/m^3 and 32% of days with severe pollution. The abundance of PM_(2.5)in winter could be related to increased coal consumption for heating needs. | Yanli Wang Wen Yang Bin Han Wenjie Zhang Mindong Chen Zhipeng Bai | 2016 | Journal of Environmental Sciences2016，28，2： | 5 |
| 14 | Seasonal variation analysis of atmospheric CH_4,N_2O and CO_2 in Tianjin offshore area显示文摘The concentrations of CH4, N2O and CO2 at the sea level were observed from November 2007 to August 2008 in order to study the greenhouse gases in the Tianjin offshore area of Bohai Sea. CH4 concentrations varied from 1.87 to 2.61 ppm with the highest value appearing in summer and the lowest in winter. The concentration range of N2O was 319.3 to 347.7 ppb, with the maximal value appearing in winter. CO2 was higher in the heating season than in non-heating season in this area. Concentrations of the three greenhouse gases in the study area exceeded the 2005 global background values. Backward trajectory model was used to analyze the sources. All three gases were influenced evidently by continental sources in the inshore area during the sampling periods. Every gas was compared with each other by correlation analysis, showing that the correlation of CO2 and N2O was more significant than to CH4 and their relationship with meteorological factors was consistent. It can be concluded these three greenhouse gases may be influenced by some similar sources, especially for CO2 and N2O. | KONG ShaoFei, LU Bing, HAN Bin, BAI ZhiPeng, XU Zhun, YOU Yan, JIN LiangMao, GUO XiaoYang & WANG Rui State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China | 2010 | Science China Earth Sciences2010，53，8： | 2 |
| 15 | Receptor modeling of PM 2.5 , PM 10 and TSP in different seasons and long-range transport analysis at a coastal site of Tianjin, China显示文摘 | Shaofei Kong Bin Han Zhipeng Bai Li Chen Jianwu Shi Zhun Xu | 2010 | Science of the Total Environment2010，，20： | 2 |
| 16 | Exposure measurement, risk assessment and source identification for exposure of traffic assistants to particle-bound PAHs in Tianjin, China显示文摘To investigate the levels of exposure to particulate-bound polycyclic aromatic hydrocarbon(PAH) and to estimate the risk these levels pose to traffic assistants(TAs) in Tianjin(a megacity in North China), a measurement campaign(33 all-day exposure samples, 25 occupational-exposure samples and 10 indoor samples) was conducted to characterize the TAs' exposure to PAHs, assess the cancer risk and identify the potential sources of exposure. The average total exposure concentration of 14 PAHs was approximately 2871 ± 928 ng/m3(on-duty), and 1622 ± 457 ng/m3(all-day). The indoor PAHs level was 1257 ± 107 ng/m3. After 8000 Monte Carlo simulations, the cancer risk resulting from exposure to PAHs was found to be approximately 1.05 × 10-4. A multivariate analysis was applied to identify the potential sources, and the results showed that, in addition to vehicle exhaust, coal combustion and cooking fumes were also another two important contributors to personal PAH exposure. The diagnostic ratios of PAH compounds agree with the source apportionment results derived from principal component analysis. | Xiaodan Xue Yan You Jianhui Wu Bin Han Zhipeng Bai Naijun Tang Liwen Zhang | 2014 | Journal of Environmental Sciences2014，26，2： | 2 |
| 17 | Measurement of air exchange rates in different indoor environments using continuous CO_2 sensors显示文摘A new air exchange rate(AER) monitoring method using continuous CO 2 sensors was developed and validated through both laboratory experiments and field studies.Controlled laboratory simulation tests were conducted in a 1-m 3 environmental chamber at different AERs(0.1-10.0 hr 1).AERs were determined using the decay method based on box model assumptions.Field tests were conducted in classrooms,dormitories,meeting rooms and apartments during 2-5 weekdays using CO 2 sensors coupled with data loggers.Indoor temperature,relative humidity(RH),and CO 2 concentrations were continuously monitored while outdoor parameters combined with on-site climate conditions were recorded.Statistical results indicated that good laboratory performance was achieved:duplicate precision was within 10%,and the measured AERs were 90%-120% of the real AERs.Average AERs were 1.22,1.37,1.10,1.91 and 0.73 hr 1 in dormitories,air-conditioned classrooms,classrooms with an air circulation cooling system,reading rooms,and meeting rooms,respectively.In an elderly particulate matter exposure study,all the homes had AER values ranging from 0.29 to 3.46 hr 1 in fall,and 0.12 to 1.39 hr 1 in winter with a median AER of 1.15. | Yan You Can Niu Jian Zhou Yating Liu Zhipeng Bai Jiefeng Zhang Fei He Nan Zhang | 2012 | Journal of Environmental Sciences2012，24，4： | 2 |
| 18 | Health risk assessment of personal inhalation exposure to volatile organic compounds in Tianjin, China显示文摘 | ZHOU JIAN YOU YAN BAI ZHIPENG | 2011 | Science of The Total Environment2011，409，： | 1 |
| 19 | Source analysis of particulate matter associated polycyclic aromatic hydrocarbons (PAHs) in an industrial city in northeastern China显示文摘 | HAN Bin DING Xiao BAI Zhipeng | 2011 | Journal of Environmental Monitoring2011，13，9： | 1 |
| 20 | New Quinoxaline-Based Blue Emitters: Molecular Structures, Aggregation-Induced Enhanced Emission Characteristics and OLED Application显示文摘Three new deep blue light emitters,bearing quinoxaline with different substituents(biphenyl/pyrene)at the 1-or 2-position,were synthesized by a Pd-catalysed coupling reaction in high yields,and were fully characterized by 1H/13C NMR spectroscopy,single crystal X-ray diffraction,and high-resolution mass spectrometry(HRMS). | Xiaoyu Mao Fuli Xie Xiaohui Wang Qingsong Wang Zhipeng Qiu Mark R.J.Elsegood Jie Bai Xing Feng Carl Redshaw Yanping Huo Jian-Yong Hu Qing Chen | 2021 | Chinese Journal of Chemistry2021，39，8： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员