A kinetics-coupled multi-surface complexation model deciphering arsenic adsorption and mobility across soil types.

IF 8 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Science of the Total Environment Pub Date : 2024-10-20 Epub Date: 2024-07-19 DOI:10.1016/j.scitotenv.2024.174856
Yutong Liu, Liyang Zhang, Yubo Wen, Hanzhao Zhai, Yuli Yuan, Chao Guo, Lei Wang, Fei Wu, Chengshuai Liu, Jian Xiao, Juan Liu, Xiaofan Yang, Yuanfeng Cai, Junfeng Ji, Yuanyuan Liu
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引用次数: 0

Abstract

The diversity of soil adsorbents for arsenic (As) and the often-overlooked influence of manganese (Mn) on As(III) oxidation impose challenges in predicting As adsorption in soils. This study uses Mössbauer spectroscopy, X-ray diffraction of oriented clay, and batch experiments to develop a kinetic coupled multi-surface complexation model that characterizes As adsorbents in natural soils and quantifies their contributions to As adsorption. The model integrates dynamic adsorption behaviors and Mn-oxide interactions with unified thermodynamic and kinetic parameters. The results indicate that As adsorption is governed by five primary adsorbents: poorly crystalline Fe oxides, well crystalline Fe oxides, Fe-rich clay, Fe-depletion clay, and organic carbon (OC). Fe oxides dominate As adsorption at low As concentrations. However, at higher As concentrations, soils from carbonate strata, with higher content of Fe-rich clay, exhibit stronger As adsorption capabilities than soils from Quaternary sediment strata. The enrichment in Fe-rich clay can enhance the resistance of adsorbed As to reduction processes affecting Fe oxides. Additionally, extensive redox cycles in paddy fields increase OC levels, enhancing their As adsorption compared to upland fields. This model framework provides novel insights into the intricate dynamics of As within soils and a versatile tool for predicting As adsorption across diverse soils.

动力学耦合多表面络合模型破解砷在不同土壤类型中的吸附性和迁移性。
土壤中砷(As)吸附剂的多样性以及经常被忽视的锰(Mn)对砷(III)氧化的影响给预测土壤中砷(As)的吸附带来了挑战。本研究利用莫斯鲍尔光谱法、定向粘土的 X 射线衍射法和批量实验,开发了一种动力学耦合多表面复合模型,用于描述天然土壤中砷吸附剂的特征,并量化它们对砷吸附的贡献。该模型将动态吸附行为和锰-氧化物相互作用与统一的热力学和动力学参数结合在一起。结果表明,As 的吸附受五种主要吸附剂的支配:结晶不良的铁氧化物、结晶良好的铁氧化物、富含铁的粘土、铁耗尽粘土和有机碳 (OC)。在砷浓度较低时,铁氧化物在砷吸附中占主导地位。然而,在砷浓度较高时,富含铁质粘土的碳酸盐地层土壤比第四纪沉积地层土壤具有更强的砷吸附能力。富含铁的粘土可以增强吸附的 As 对影响铁氧化物的还原过程的抵抗力。此外,与高地相比,水田中广泛的氧化还原循环增加了 OC 含量,从而增强了对砷的吸附能力。该模型框架为了解土壤中砷的复杂动态提供了新的视角,也为预测不同土壤中砷的吸附提供了通用工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Science of the Total Environment
Science of the Total Environment 环境科学-环境科学
CiteScore
17.60
自引率
10.20%
发文量
8726
审稿时长
2.4 months
期刊介绍: The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere. The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.
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