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6篇 您的检索式:作者名="Youhai Yu"
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1Improvement of CO2 capture performance of calcium-based absorbent modified with palygorskite显示文摘Limestone can be used for CO_2 capture and sequestration(CCS) in flue gas effectively. However, its CCS capability will dramatically decline after several cycles due to the surface 'sintering'. In this work, the limestone was modified with palygorskite to reduce sintering phenomenon between the absorbent particles during the CCS process and the carbonation rate of the limestone can be enhanced effectively. Palygorskite is a natural mineral with nano-fibrous structure which can reduce the mutual contact of limestone particles during the CCS process. The results were detected by TGA, SEM, MIP, FTIR and particle size analyzer respectively. The best CO_2 capture performance of modified absorbent was 13.11% improvement with only 5 wt% palygorskite added during the CCS process after 15 cycles compared with natural absorbent. It was found that excellent microscopic structures of absorbent modified with palygorskite was created, and the surface sintering was postponed leading to CO_2 capture performance enhanced under the same conditions.Liyuan Shan Hui Li Binglu Meng Youhai Yu Yonggang Min 2016Chinese Journal of Chemical Engineering2016,24,9:4
2Heavy metal contamination in western Xiamen Bay sediments and its vicinity, China显示文摘Luoping Zhang Xin Ye Huan Feng Youhai Jing Tong Ouyang Xingtian Yu Rongyuan Liang Chengtie Gao Weiqi Chen 2007Marine Pollution Bulletin2007,,7:1
3Ignition Characteristics of a Liquid-Kerosene-Fueled Scramjet during Air Throttling Combined with a Gas Generator显示文摘Wen Bao Jichao Hu Youhai Zong Qingchun Yang Juntao Chang Meng Wu Daren Yu 2013Journal of Aerospace Engineering2013,,:1
4Heavy vicinity, China 显示文摘Zhang Luoping Ye Xin Feng Huan Jing Youhai Ouyang Tong Yu Xingtian Liang Rongyuan Gao Chengtie Chen Weiqi 2007Mar Pollut Bull2007,54,7:1
5Heavy metal contamination in western Xiamen Bay sediments and its vicinity, China显示文摘Zhang Luoping Ye Xin Feng Huan Jing Youhai Ouyang Tong Yu Xingtian Liang Rongyuan Gao Chengtie Chen Weiqi 2007Mar Pollut Bull2007,54,7:1
6Evolution and Simulation of Spatial-temporal Heterogeneities in Ecological Background Quality of Changsha City显示文摘By GIS and ENVI,TM/ETM remote sensing images of five districts(Yuelu District,Furong District,Yuhua District,Tianxin District and Kaifu District) in Changsha City center in 2005,2010 and 2015 were interpreted.Moreover,distribution chart for ecological background factors in 2020 was simulated by using CA-Markov module in IDRISI.Using principal component analysis,evaluation model for ecological background quality of the city was established.Via circle analysi s,GS+semi variance function analysis,hot spot area analysis and grey correlation analysis,integrated analysis and evaluation on spatial heterogeneity evolution of ecological background quality in research region were conducted.Results showed that firstly Changsha overall has formed ecological pattern of landscape island city,but ecological background started to show the evolution trend of high heterogeneity and fragmentation under the construction land expansion,and ecological background quality of the city declined from 0.300,6 to 0.257,1 during 2005-2020.Secondly,ecological background quality of Changsha City had typical circle and axial gradient structure,and 'eco tone' had the most violent evolution.Thirdly,spatial structure of ecological background quality had region,time and direction heterogeneities,and spatial heterogeneity of region was the most important.Fourthly,hot spot area distribution of ecological background quality evolution showed the 'frog jump' trend of gathering in marginal zone and diffusing to peripheral zone.Fifthly,in driving factors of ecological background quality,industrialization rate had the highest grey correlation degree(0.842,1),and grey absolute correlation degree between ecological background quality in Yuelu District and industrialization rate was the highest(0.603,1).YU Bingjie TANG Youhai WEI Zhe BI Linglan ZHANG Lei 2016Journal of Landscape Research2016,8,6:0
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