Suppr超能文献

城市地区安装的渗透设施下方土壤中重金属的竞争吸附

Competitive adsorption of heavy metals in soil underlying an infiltration facility installed in an urban area.

作者信息

Hossain M A, Furumai H, Nakajima F

机构信息

Institute of Water and Flood Management, Bangladesh University of Engineering and Technology, Dhaka, 1000, Bangladesh.

出版信息

Water Sci Technol. 2009;59(2):303-10. doi: 10.2166/wst.2009.865.

Abstract

Accumulation of heavy metals at elevated concentration and potential of considerable amount of the accumulated heavy metals to reach the soil system was observed from earlier studies in soakaways sediments within an infiltration facility in Tokyo, Japan. In order to understand the competitive adsorption behaviour of heavy metals Zn, Ni and Cu in soil, competitive batch adsorption experiments were carried out using single metal and binary metal combinations on soil samples representative of underlying soil and surface soil at the site. Speciation analysis of the adsorbed metals was carried out through BCR sequential extraction method. Among the metals, Cu was not affected by competition while Zn and Ni were affected by competition of coexisting metals. The parameters of fitted 'Freundlich' and 'Langmuir' isotherms indicated more intense competition in underlying soil compared to surface soil for adsorption of Zn and Ni. The speciation of adsorbed metals revealed less selectivity of Zn and Ni to soil organic matter, while dominance of organic bound fraction was observed for Cu, especially in organic rich surface soil. Compared to underlying soil, the surface soil is expected to provide greater adsorption to heavy metals as well as provide greater stability to adsorbed metals, especially for Cu.

摘要

从日本东京某渗透设施内渗井沉积物的早期研究中观察到,重金属在较高浓度下积累,且积累的大量重金属有可能进入土壤系统。为了了解土壤中重金属锌、镍和铜的竞争吸附行为,采用单金属和双金属组合对该场地代表性底土和表层土样进行了竞争批量吸附实验。通过BCR连续萃取法对吸附金属进行形态分析。在这些金属中,铜不受竞争影响,而锌和镍则受到共存金属竞争的影响。拟合的“Freundlich”和“Langmuir”等温线参数表明,与表层土相比,底土对锌和镍的吸附竞争更为激烈。吸附金属的形态表明,锌和镍对土壤有机质的选择性较低,而铜则以有机结合态为主,尤其是在富含有机质的表层土中。与底土相比,表层土预计对重金属具有更大的吸附能力,并且对吸附的金属具有更高的稳定性,尤其是对铜。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验