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稀土Er(Ⅲ)对短程硝化性能的影响及其抑制动力学特性
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作者 李芸 崔楠 +5 位作者 熊星星 黄志远 王东亮 许丹 李军 李泽兵 《化工进展》 EI CAS CSCD 北大核心 2023年第3期1659-1668,共10页
研究了重稀土元素铒[Er(Ⅲ)]对短程硝化工艺的短期和长期脱氮效能影响,并进行了相关动力学分析。短期实验表明,0~10mg/L的Er(Ⅲ)对AOB菌活性呈现促进作用,20~60mg/L的Er(Ⅲ)对AOB菌活性呈现轻度抑制,80~120mg/L的Er(Ⅲ)则对AOB菌活性呈... 研究了重稀土元素铒[Er(Ⅲ)]对短程硝化工艺的短期和长期脱氮效能影响,并进行了相关动力学分析。短期实验表明,0~10mg/L的Er(Ⅲ)对AOB菌活性呈现促进作用,20~60mg/L的Er(Ⅲ)对AOB菌活性呈现轻度抑制,80~120mg/L的Er(Ⅲ)则对AOB菌活性呈现重度抑制。AOB菌会吸附大量Er(Ⅲ),在进水Er(Ⅲ)浓度低于60mg/L时,Er(Ⅲ)去除率均大于90%,高于60mg/L后Er(Ⅲ)去除率逐渐降低。ICP-MS和EDS分析结果表明,Er(Ⅲ)可被AOB菌胞外吸附和胞内摄取,其中又以胞外吸附为主。分别采用Vadivelu模型、Hellinga模型、Michaelis-Menten模型和Hill模型对实验结果进行拟合,结果表明通过分段拟合(0~60mg/L和60~120mg/L) Hill模型能较好的描述Er(Ⅲ)对AOB菌的抑制动力学过程,拟合得到的R2分别为0.9879和0.9999,最大基质去除速率qmax(ΔSNPR)分别为2.59mg/(g·h)和7.15mg/(g·h)。长期试验表明,10mg/L的Er(Ⅲ)将使短程硝化系统性能逐渐消失,停止添加Er(Ⅲ)后,反应系统性能也不能恢复。 展开更多
关键词 稀土影响 短程硝化 动力学 模型拟合
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混合稀土对A_2B_7型储氢合金结构和电化学性能的影响 被引量:5
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作者 李静 罗永春 +3 位作者 张国庆 梅兴志 孔令斌 康龙 《无机化学学报》 SCIE CAS CSCD 北大核心 2014年第10期2270-2278,共9页
采用感应熔炼方法制备了A2B7型La0.83-0.5x(Pr0.1Nd0.1Sm0.1Gd0.2)xMg0.17Ni3.1Co0.3Al0.1(x=0-1.66)储氢合金,并在He+Ar气氛和1 173 K下进行退火处理。通过X射线衍射(XRD)、扫描电子显微镜(SEM)和电化学方法,研究了混合稀土(... 采用感应熔炼方法制备了A2B7型La0.83-0.5x(Pr0.1Nd0.1Sm0.1Gd0.2)xMg0.17Ni3.1Co0.3Al0.1(x=0-1.66)储氢合金,并在He+Ar气氛和1 173 K下进行退火处理。通过X射线衍射(XRD)、扫描电子显微镜(SEM)和电化学方法,研究了混合稀土(Pr,Nd,Sm,Gd)替代La元素对合金物相结构和电化学性能的影响。合金相结构分析表明,混合稀土含量对合金组成和相结构有重要的影响,随混合稀土含量x的增加,合金中主相A2B7型(2H-Ce2Ni7型+3R-Gd2Co7型)相丰度逐渐增多,其中2H-Ce2Ni7型相丰度先增多后减少,3RGd2Co7型相丰度则逐渐增加,主相晶胞参数随x增加而减小。电化学结果表明,随混合稀土含量增加,放氢平台压逐渐升高,合金电极的最大放电容量和循环稳定性均呈先增大后减小的规律,其中x=0.4合金电极具有最高的电化学放电容量(389.8 mAh·g^-1)和最佳的循环寿命(S100=91.30%);合金电极的高倍率放电性能(HRD)则随x的增加获得显著提高。适量的混合稀土替代量可显著改善合金电极的综合电化学性能。 展开更多
关键词 稀土-镁-镍系A2B7型储氢合金 混合稀土元素影响 相结构 电化学性能
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A_2B_7型La_(0.63)(Pr,Nd,Y,Sm,Gd)_(0.2)Mg_(0.17)Ni_(3.1)Co_(0.3)Al_(0.1)储氢合金微观组织和电化学性能研究 被引量:4
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作者 杨阳 罗永春 +2 位作者 梅兴志 王浩 邓安强 《功能材料》 EI CAS CSCD 北大核心 2017年第8期135-141,共7页
用Pr、Nd、Y、Sm和Gd按一定比例组成混合稀土对La进行部分替代,通过分别增加混合稀土中各元素的含量获得5种合金试样(分别用Pr0.6、Nd0.6、Y0.6、Sm0.6和Gd0.6表示),研究了混合稀土组成对A2B7型La_(0.63)(Pr,Nd,Y,Sm,Gd)_(0.2)Mg_(0.17)... 用Pr、Nd、Y、Sm和Gd按一定比例组成混合稀土对La进行部分替代,通过分别增加混合稀土中各元素的含量获得5种合金试样(分别用Pr0.6、Nd0.6、Y0.6、Sm0.6和Gd0.6表示),研究了混合稀土组成对A2B7型La_(0.63)(Pr,Nd,Y,Sm,Gd)_(0.2)Mg_(0.17)Ni_(3.1)Co_(0.3)Al_(0.1)退火合金微观结构与电化学性能的影响规律。合金相结构分析表明,合金微观组织均由主相2H-Ce2Ni7型和CaCu5型第二相组成,其中Y0.6合金的Ce2Ni7型相丰度最高(93.3%(质量分数))。合金中Ce2Ni7型和CaCu5型相晶胞体积均随A端元素平均原子半径的减小而逐渐降低。电化学分析表明,合金放氢平台压力为0.013~0.054 MPa,最大储氢量(Hmax/M)为1.23%~1.42%(质量分数),其中Y0.6合金具有最高的电化学放电容量(404.4 mAh/g)和最佳的容量保持率(S100=93.50%);合金电极高倍率放电性能HRD按试样Gd0.6、Sm0.6、Y0.6、Nd0.6、Pr0.6顺序依次减小。混合稀土中适量增加Y元素可显著提高和改善合金电极的综合电化学性能。 展开更多
关键词 稀土-镁-镍系A2B7型储氢合金 混合稀土元素影响 相结构 电化学性能
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A quantitative BP neural network analysis of the relationships between ΣREE content and impact factors in the Beibu Gulf
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作者 ZHANG Wen-li HU Hao +2 位作者 LONG Jiang-ping XU Dong ZHOU Meng-jia 《Marine Science Bulletin》 CAS 2017年第1期52-66,共15页
The distribution characteristics of rare earth elements (REE) in bottomsediments are influenced by many factors. Hence, conducting a quantitative analysis isdifficult. A qualitative analysis of the relationships bet... The distribution characteristics of rare earth elements (REE) in bottomsediments are influenced by many factors. Hence, conducting a quantitative analysis isdifficult. A qualitative analysis of the relationships between ΣREE content andprovenance, hydrodynamics, grain size and mineral distribution in the Beibu Gulf showsthat terrestrial rocks control the ΣREE composition. Both weaker hydrodynamics andfiner grain size lead to a higher ΣREE content. Relative curves revealing therelationships between individual impact factors and ΣREE content were obtained fromthe combination of qualitative and quantitative analyses of the BP neural network,which trained the position of samples, gravel content, sand content, silt content, claycontent and clay mineral content. The results are consistent with those of thequantitative analysis. The self-learning algorithm is automatically determined andcalculated quantitatively. The impact of each factor on REEs and how each factorcontrols the ΣREE distribution is identified. Thus, environmental changes and thegeological evolution of the region can be inferred based on curve variation and the geological evolution of the region can be inferred based on curve variation and theactual situation. This method also provides useful theoretical guidance for the analysisof REE enrichment and dispersion. 展开更多
关键词 REE impact factors quantitative analysis BP neural network controlvariable method
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Distribution of rare earth elements of granitic regolith under the influence of climate 被引量:1
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作者 Hairuo Mao Congqiang Liu +1 位作者 Zhiqi Zhao Junxiong Yang 《Acta Geochimica》 EI CAS CSCD 2017年第3期440-445,共6页
The distribution and anomalies of rare earth elements(REEs) of granitic regolith were studied in Inner Mongolia and Hainan Island, China. One profile showed slight REE enrichment of an upper layer and no obvious light... The distribution and anomalies of rare earth elements(REEs) of granitic regolith were studied in Inner Mongolia and Hainan Island, China. One profile showed slight REE enrichment of an upper layer and no obvious light REE/heavy REE(LREE/HREE) fractionation(La_N/Yb_N of 0.9). The second profile was significantly enriched in REEs and enriched in LREEs in the upper portion(La_N/Yb_N>1.8). Eu, Ce, and Gd anomalies of the two profiles are different. Slightly negative Eu, Ce, and Gd anomalies in NMG-3-1 indicate slow dissolution of primary minerals and little secondary products; in contrast, a positive Eu anomaly in HN-2 suggests the vegetation cycle may contribute to soil. The Ce anomaly of HN-2 reflects oxidation of Ce and coprecipitation by Fe-and Mn-oxides and organic matter. Correlation between Ce and Gd anomalies in HN-2 suggests Ce and Gd are both influenced by redoxreduction. 展开更多
关键词 Rare earth elements Granitic regolith WEATHERING Ce anomaly Eu anomaly
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