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Conversion of carbon dioxide (CO2) into valuable chemicals and renewable fuels via photocatalysis represents an eco-friendly route to achieve the goal of carbon neutralization. Although various types of semiconductor materials have been intensively explored, some severe issues, such as rapid charge recombination and sluggish redox reaction kinetics, remain. In this regard, cocatalyst modification by trapping charges and boosting surface reactions is one of the most efficient strategies to improve the efficiency of semiconductor photocatalysts. This review focuses on recent advances in CO2 photoreduction over cost-effective and earth-abundant cobalt (Co)-based cocatalysts, which are competitive candidates of noble metals for practical applications. First, the functions of Co-based cocatalysts for promoting photocatalytic CO2 reduction are briefly discussed. Then, different kinds of Co-based cocatalysts, including cobalt oxides and hydroxides, cobalt nitrides and phosphides, cobalt sulfides and selenides, Co single-atom, and Co-based metal–organic frameworks (MOFs), are summarized. The underlying mechanisms of these Co-based cocatalysts for facilitating CO2 adsorption–activation, boosting charge separation, and modulating intermediate formation are discussed in detail based on experimental characterizations and density functional theory calculations. In addition, the suppression of the competing hydrogen evolution reaction using Co-based cocatalysts to promote the product selectivity of CO2 reduction is highlighted in some selected examples. Finally, the challenges and future perspectives on constructing more efficient Co-based cocatalysts for practical applications are proposed.

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为研究煤炭开采区地下水水质现状、评价水质等级、分析主要影响因素,以12个地下水水质监测点为研究对象,选取了pH、硫酸盐、总硬度等10项水质指标,采用主成分分析法与秩和比法相结合评估地下水水质等级,并分析影响地下水水质的主要因素.结果表明:采用主成分分析将10项水质指标综合为3个主成分,累计方差达到79%,结合秩和比法计算权重分别为49%、31%和20%,综合控制指标为硫酸盐、亚硝酸盐氮和浑浊度;综合评价后,研究区地下水水质整体呈现Ⅲ类水,从空间上描述,中游水质良好,上游和下游段水质较差,为Ⅳ类水;污染指标以硫酸盐,浑浊度、溶解性固体为主,其中硫酸盐最为严重;污染因素主要是工农业污废水排放和人为开采.采用PCA-RSR综合法的水质评价可以更全面考虑研究区复杂的水质情况,不同于单一水质评价方法会忽略各指标之间的影响关系,使得评价体系更准确,更好地分析影响水质健康的主要因子.  相似文献   
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以浮游植物完整性指数(P-IBI)为基础的生态健康评价已经逐渐进入了人们的视线,但当前利用P-IBI进行的水库生态健康评价主要是简单地建立评价系统表征水体生态健康程度,聚焦于P-IBI评价体系反映富营养化程度的能力少见报道.以漳泽水库为研究对象,于2019年开展了3次浮游植物与环境因子调查,在分析浮游植物群落结构的基础上,建立生物完整性评价体系对漳泽水库开展了生态健康评价,分析与富营养化程度、环境因子的相关性.研究结果表明:水库共检测到浮游植物7门57属135种,7月以绿藻门、蓝藻门为优势门类,而10、11月以绿藻门、蓝藻门、硅藻门占主要优势.水库的营养状态指数评价结果:轻度富营养化占比63.3%,中度、重度富营养化的比例分别为26.7%、10%,且沿着采样点方向,富营养化逐渐加重.水库所有采样点的浮游植物完整性评价中,库尾部分采样点评价结果较差,坝前生态健康程度较好.6.67%的采样点评价结果为健康,73.33%的采样点评价结果为中等,13.33%的采样点评价结果为一般,评价为差与极差的采样点均为3.33%.P-IBI分值与浮游植物生物量、富营养化指数显著负相关,浮游植物完整性越差,富营养化越严重,P-IBI指标可作为反映水环境营养状态的标准.构建的P-IBI体系可反映漳泽水库的水生态状况,可为漳泽水库水生态的管理及保护提供依据.  相似文献   
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