Nano-sized alumina supported palladium catalysts for methane combustion with excellent thermal stability

Pd/Al₂O₃ catalysts supported on Al₂O₃ of different particle sizes were synthesized and applied in methane combustion. These catalysts were systematically characterized by Brunauer-Emmett-Teller (BET), X-ray diffraction (XRD), high resolution-transmission electron microscopy (HR-TEM), high-angle annular dark field-scanning transmission electron microscopy (HAADF-STEM), H₂-temperature-programmed reduction (H₂-TPR), O₂-temperature-programmed oxidation (O₂-TPO), X-ray photoelectron spectroscopy (XPS), and X-ray absorption fine structure (XAFS). The characterization results indicated that nano-sized Al₂O₃ enabled the uniform dispersion of palladium nanoparticles, thus contributing to the excellent catalytic performance of these nano-sized Pd/Al₂O₃ catalysts. Among them, Pd/Al₂O₃-nano-10 (Pd/Al₂O₃ supported by alumina with an average particle size of 10 nm) showed superior catalytic activity and stability for methane oxidation under harsh practical conditions. It maintained excellent catalytic performance for methane oxidation for 50 hr and remained stable even after harsh hydrothermal aging in 10 vol.% steam at 800°C for 16 hr. Characterization results revealed that the strong metal-support interactions and physical barriers provided by Al₂O₃-nano-10 suppressed the coalescence ripening of palladium species, and thus contributed to the superior sintering resistance of the Pd/Al₂O₃-nano-10 catalyst.     

好氧颗粒污泥稳定性影响因素分析

在内循环气升式间歇反应器对好氧颗粒污泥颗粒化过程进行了研究,从污泥负荷率和碳源特性分析了好氧颗粒污泥的稳定性。以蔗糖为碳源时,反应器在较低的曝气量下生长有大量的丝状真菌,而在较高的曝气量下有利于污泥形成表面光滑的颗粒,但当污泥负荷过低时,光滑的颗粒污泥表面开始迅速生长丝状真菌而导致颗粒污泥不稳定。试验表明以蔗糖为碳源物质形成好氧颗粒污泥速率快,但其操作条件难控制,容易引起丝状真菌的大量生长;以乙酸钠为碳源物质,形成颗粒污泥速度慢,污泥颗粒化程度不高;而以蔗糖与乙酸钠为混合型碳源进行好氧颗粒污泥的培养证明了形成的好氧颗粒污泥表面光滑,没有丝状菌的存在,并且颗粒污泥易于稳定运行。     

洪家渡水电站进水口顺向岩质高边坡稳定性地质分析

洪家渡水电站进水口地段属硬质岩顺向坡地质结构,边坡稳定问题突出。地质专业对影响边坡稳定的边界条件、力学参数等进行了反复的论证,为设计处理提供了翔实、可靠的地质资料,为边坡成功处理打下了坚实的基础。     

城市湖泊表层沉积物中的重金属污染现状及其稳定度分析——以武汉墨水湖为例

水体沉积物中的重金属会对生态系统构成直接和间接的威胁.为了研究工业化、城市化过程中城市湖泊沉积物重金属污染程度,以武汉市墨水湖为研究对象,测定了5种重金属Zn、Cu、Ni、Pb及Cr在表层沉积物中的含量,分析了其污染程度、分布特征,并对其稳定度进行了分析.结果表明,墨水湖表层沉积物重金属污染程度较重,在所有采样点5种重金属含量均高于最低效应阈值(LEL),多数采样点甚至超过了严重效应阈值(SEL);该湖泊沉积物中重金属分布具有比较明显的空间差异性:排污口区>湖中心水域>城区岸边带>林田岸边带;其稳定程度依次为:Zn相似文献   

广州新白云机场土洞、溶洞的稳定性判别及其加固处理

土洞、溶洞问题是广州新白云国际机场的主要工程地质问题之一。土洞、溶洞数量多达一百多个,洞体直径3-104 m,洞高0.4-23.5 m,顶板埋深3.2-35.4 m,在土方施工时即出现崩塌现象。文章在对土洞、溶洞的特征进行详细分析的基础上,结合本机场工程的特点,提出了一套稳定性判别的方法,进而对土洞、溶洞处理方法进行了探讨,并通过现场试验研究,在取得试验测试结果的基础上,将填充贫混凝土与袖阀管注浆相结合的加固方法,应用于实际工程中,取得了良好的处理效果,并积累了机场工程土洞、溶洞处理的成功经验。     

多级扩径单桩的可靠性测试与分析

用垂直静载的加载方法，对多级扩径单桩进行可靠性测试，其结果表明，被测试单桩竖向抗压极限承载力值均大于设计要求。     

水稻籽实中蛋白质-Cd、Pb结合体及其稳定性

通过凝脱层析方法，对水稻籽实中的蛋白质－Cd,Pb结合形态特征及其稳定性进行了研究。结果表明；水稻籽实TrisHCl提取液经SephadexG-75分 离，洗脱液得到3个紫外吸收峰，在第1、3峰处出现了Cd、Pb浓度峰，其蛋白质－Cd、Pb结合体的表观分子量为54.5KD和5.5KD。在蒸煮加热处理后，水稻籽实中蛋白质－Cd、Pb结合体发生变性，使分子量为54.5KD的蛋白质－Cd,Pb结合体完全破坏，分子量为5.5KD的结合体也部分地被破坏，与蛋白质结合的Cd ,Pb被释放出来。胃蛋白酶和胰蛋白酶消化处理后，也能够破坏蛋白质－Cd,Pb结合体的形态，洗脱液中Cd,Pb的浓度分布也发生了变化，在第1、3紫外吸收峰处的Cd、Pb浓度也明显降低。另外，在第3峰以后的洗脱液中也检测到Cd、Pb的浓度。     

九寨黄龙机场填方高边坡静力稳定性分析

某机场工程位于青藏高原东缘高山峡谷区,飞行区横跨5条大的冲沟,最大填方高度102 m。本文利用三维有限元法对地基沉降、填方边坡稳定性等问题进行了分析,对工程施工提出了相应的建议。     

草炭溶解态有机物质与Cu2+、Cd2+络合稳定性的研究

研究了由草炭提取的胡敏酸(HA)、富里酸(FA)、水溶解态有机物质(WSOM)的基团特征,分子量分布及其与Cu2+、Cd2+两种金属离子之间的络合稳定性。对HA、FA及WSOM的红外光谱研究显示三者的官能团组成相似,只是含量略有不同。固态13C-NMR对HA、FA及WSOM结构特征的描述以及水相凝胶色谱法对三种有机质样品的分子量及分子量分布的测定结果显示HA分子最大且含有大量的长链烷烃,而FA分子小得多,结构以碳水化合物及多糖为主,WSOM的分子量略低于FA,结构与FA相近。离子交换平衡法对三种有机质样品与Cu2+、Cd2+的络合配位数和稳定常数的测定结果显示两种介质条件下络合配位数(x)、络合稳定常数(logk)的次序均为:Cu2+>Cd2+;同一介质条件下,对不同有机质而言均满足:M-HA>M-FA>M-WSOM。     

Learning to predict channel stability using biogeomorphic features

Current human land use activities are altering many components of the river landscape, resulting in unstable channels. Instability may have serious negative consequences for water quality, aquatic and riparian habitat, and for river-related human infrastructure such as bridges and roads. Resource management agencies have developed rapid bioassessment surveys to help assess stability in a fast and cost-effective way. While this assessment can be done for a single site fairly rapidly, it is still time-consuming to apply over large watersheds and assessment activities must be prioritized. We constructed a system that employs commonly available map data as inputs to cost-sensitive variants of decision tree algorithms to predict the relative channel stability of different sites. In particular, we use bagged lazy option trees (LOTs) and bagged probability estimation trees (PETs) to identify all unstable channels while making the smallest number of errors of classifying stable channels as unstable, thereby minimizing cost and maximizing safety. We measured the performance of the classifiers using ROC curves and found that the PETs performed better than the LOTs in situations where the number of instances of the stable and unstable classes were relatively balanced, but the LOTs did better where unstable examples were relatively rare compared to stable, perhaps due to the LOTs’ ability to focus on individual examples.