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Efficient removal of ammonia with a novel graphene-supported BiFeO_3 as a reusable photocatalyst under visible light 被引量:14
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作者 Cong‐yang Zou Shou‐qing Liu +3 位作者 Zhemin Shen Yuan Zhang Ni‐shan Jiang Wen‐chao Ji 《Chinese Journal of Catalysis》 SCIE EI CAS CSCD 北大核心 2017年第1期20-28,共9页
Graphene‐supported BiFeO3 (rG‐BiFeO3) was synthesized by the hydrothermal method and used for the efficient removal of ammonia under visible light. X‐ray diffraction, transmission electron microscopy,Fourier transf... Graphene‐supported BiFeO3 (rG‐BiFeO3) was synthesized by the hydrothermal method and used for the efficient removal of ammonia under visible light. X‐ray diffraction, transmission electron microscopy,Fourier transform infrared spectroscopy, Raman spectroscopy, and ultraviolet‐visiblediffuse reflectance spectroscopy were conducted to characterize the rG‐BiFeO3. The specific surfacearea of the rG‐BiFeO3 catalyst was 48.6 m2/g, larger than that of BiFeO3 (21.0 m2/g). When used as aheterogeneous photocatalyst, rG‐BiFeO3 achieved 91.20% degradation of a NH3‐N solution (50mg/L) at pH = 11 under visible‐light irradiation in the absence of hydrogen peroxide. The degradationof ammonia followed pseudo‐first‐order kinetics, and the catalyst retained high photocatalyticactivity after seven reaction cycles. Study of the mechanism showed that the holes, superoxide anion radicals, and hydroxyl radicals, arising from the synergy between graphene and BiFeO3, oxidized NH3 directly to N2. 展开更多
关键词 Graphene‐BiFeO3 PHOTOCATALYST Visible light Ammonia removal
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Preparation of a fullerene[60]‐iron oxide complex for the photo‐fenton degradation of organic contaminants under visible‐light irradiation 被引量:7
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作者 Cong‐yang Zou Ze‐da Meng +4 位作者 Wen‐chao Ji Shou‐qing Liu Zhemin Shen Yuan Zhang Ni‐shan Jiang 《Chinese Journal of Catalysis》 SCIE EI CAS CSCD 北大核心 2018年第6期1051-1059,共9页
Iron oxide(Fe2O3) was doped onto fullerene[60](C(60)) to form a C(60)‐Fe2O3 composite using an easy and scalable impregnation method. The as‐prepared C(60)‐Fe2O3 samples were characterized by powder X‐ra... Iron oxide(Fe2O3) was doped onto fullerene[60](C(60)) to form a C(60)‐Fe2O3 composite using an easy and scalable impregnation method. The as‐prepared C(60)‐Fe2O3 samples were characterized by powder X‐ray diffraction, X‐ray photoelectron spectroscopy, scanning electron microscopy, high‐resolution transmission electron microscopy, UV‐vis absorption spectroscopy, Raman spec‐troscopy, and Fourier transform infrared spectroscopy. The photocatalytic activity of the C(60)‐Fe2O3 catalyst was evaluated by examining the degradation of methylene blue(MB), rhodamine B(RhB), methyl orange(MO), and phenol under visible light(λ 420 nm) in the presence of hydrogen per‐oxide. The results showed that the catalyst exhibited excellent catalytic properties over a wide pH range 3.06–10.34. Under optimal conditions, 98.9% discoloration and 71% mineralization of MB were achieved in 80 min. Leaching test results indicated that the leaching of iron from the catalyst was negligible and that the catalyst had a high photocatalytic activity after five reaction cycles. The catalyst was also efficient in the degradation of RhB, MO, and phenol. These findings could be at‐tributed to the synergetic effects of C(60) and Fe2O3. We used active species trapping experiments to determine the main active oxidant in the photocatalytic reaction process and found that hydroxyl radicals played a major role in the entire process. 展开更多
关键词 C60‐Fe2O3 Heterogeneousphotocatalysis Photo‐Fenton VisiblelightActive species TRAPPING
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湖南三地加权平均温度分区分时模型研究 被引量:14
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作者 李黎 宋越 +3 位作者 易金花 田莹 樊奕茜 王亮 《测绘科学》 CSCD 北大核心 2018年第1期54-58,65,共6页
针对大气加权平均温度(Tm)会受到地理位置、地形、气候和季节等因素不同程度影响的问题,利用湖南省长沙、郴州、怀化3个站2012—2013年探空数据计算的T_m,首先分析T_m与地面温度T_s的线性关系,再采用一元线性拟合的方法拟合出湖南不同... 针对大气加权平均温度(Tm)会受到地理位置、地形、气候和季节等因素不同程度影响的问题,利用湖南省长沙、郴州、怀化3个站2012—2013年探空数据计算的T_m,首先分析T_m与地面温度T_s的线性关系,再采用一元线性拟合的方法拟合出湖南不同地区及不同季节的分区分时T_m模型。研究结果表明:湖南地区本地化T_m全局模型的平均偏差和标准差都较小,预测精度优于Bevis模型,更符合实际就标准差而言,除冬季之外,春夏秋3季的标准差分别降低了0.07K、0.19K、0.03K,因此,分时T_m模型精度优于全局T_m模型,且夏季的精度提高尤为明显。因此,在湖南GPS气象业务应用中,使用分时模型可获得更高精度的T_m和大气可降水量。 展开更多
关键词 探空资料 大气加权平均温度 Bevis模型 分区分时模型
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