The impregnation method for preparing catalysts often faces challenges such as prolonged preparation times and poor dispersion of active components due to the limited mobility of the impregnation liquid.The rotating p...The impregnation method for preparing catalysts often faces challenges such as prolonged preparation times and poor dispersion of active components due to the limited mobility of the impregnation liquid.The rotating packed bed(RPB)can break the precursor solution into fine droplets,enabling dynamic impregnation of active components onto the surface of activated carbon.This approach facilitates the uniform distribution of active components on the carrier and enhances the stability and performance of the catalyst.In this study,activated carbon catalysts were prepared using high-gravity technology.It was found that the preparation time for Co-MnO_(x)/GAC using the RPB method was reduced by 98%,the catalytic activity increased by 6.62%,and the loadings of active components increased by 13%and 17%,the catalytic activity remained stable after five cycles,with a significantly lower rate of metal dissolution.A suite of complementary analytical techniques demonstrates that Co-MnO_(x)/GAC(RPB)has higher homogeneity and dispersion.X-ray photoelectron spectroscopy(XPS)results indicate that Co(II)and Mn(IV)/Mn(III)are the primary active sites during the catalytic decomposition of ozone,elucidating the mechanism of synergistic catalytic ozonation by dual-active components.Finally,electron paramagnetic resonance(EPR)confirmed that hydroxyl radicals($OH)were the predominant reactive species in the reaction.展开更多
以自动生成测地线活动轮廓(geodesic active contour,GAC)模型的初始曲线及改进其外力为出发点,提出一种基于LiDAR点云和随机影像数据,利用改进的GAC模型进行建筑物边界提取的方案。首先利用形态学交替序贯滤波自动获得模型演化的初始曲...以自动生成测地线活动轮廓(geodesic active contour,GAC)模型的初始曲线及改进其外力为出发点,提出一种基于LiDAR点云和随机影像数据,利用改进的GAC模型进行建筑物边界提取的方案。首先利用形态学交替序贯滤波自动获得模型演化的初始曲线;进而利用LiDAR深度梯度影像改进模型演化的外力,得到了改进的测地线活动轮廓(improved geodesic active contour,IGAC)模型。仿真试验表明,采用IGAC模型,可抑制弱边界泄漏,并提高建筑物边界提取的完整性和形状精确度。展开更多
基金supported by the National Natural Science Foundation of China(U23A20676)Key Research&Development Plan of Shanxi Province(202202040201011)+3 种基金Shanxi Scholarship Council of China(2023-128)Small and medium-sized oriented scientific and technological enterprises innovation ability improvement project of Shandong Province(2023TSGC0004)the Graduate Student Innovation Project of Shanxi Province(2023SJ205)Local Funds for Science and Technology Development Guided by the Central Finance(YDZJSX20231A030).
文摘The impregnation method for preparing catalysts often faces challenges such as prolonged preparation times and poor dispersion of active components due to the limited mobility of the impregnation liquid.The rotating packed bed(RPB)can break the precursor solution into fine droplets,enabling dynamic impregnation of active components onto the surface of activated carbon.This approach facilitates the uniform distribution of active components on the carrier and enhances the stability and performance of the catalyst.In this study,activated carbon catalysts were prepared using high-gravity technology.It was found that the preparation time for Co-MnO_(x)/GAC using the RPB method was reduced by 98%,the catalytic activity increased by 6.62%,and the loadings of active components increased by 13%and 17%,the catalytic activity remained stable after five cycles,with a significantly lower rate of metal dissolution.A suite of complementary analytical techniques demonstrates that Co-MnO_(x)/GAC(RPB)has higher homogeneity and dispersion.X-ray photoelectron spectroscopy(XPS)results indicate that Co(II)and Mn(IV)/Mn(III)are the primary active sites during the catalytic decomposition of ozone,elucidating the mechanism of synergistic catalytic ozonation by dual-active components.Finally,electron paramagnetic resonance(EPR)confirmed that hydroxyl radicals($OH)were the predominant reactive species in the reaction.
文摘以自动生成测地线活动轮廓(geodesic active contour,GAC)模型的初始曲线及改进其外力为出发点,提出一种基于LiDAR点云和随机影像数据,利用改进的GAC模型进行建筑物边界提取的方案。首先利用形态学交替序贯滤波自动获得模型演化的初始曲线;进而利用LiDAR深度梯度影像改进模型演化的外力,得到了改进的测地线活动轮廓(improved geodesic active contour,IGAC)模型。仿真试验表明,采用IGAC模型,可抑制弱边界泄漏,并提高建筑物边界提取的完整性和形状精确度。