The transition from macrophyte-dominated to algae-dominated lake systems enhances arsenic release from sediments

IF 12.4 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-05-15 Epub Date: 2025-02-01 DOI:10.1016/j.watres.2025.123233

Xiangyu He , Wenming Yan , Xiang Chen , Yan Wang , Minjuan Li , Qi Li , Junliang Jin , Zhongbo Yu , Tingfeng Wu

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Abstract

Declining macrophytes in eutrophic lakes are altering material cycling in sediments. However, the transformation of arsenic (As) in response to these changes remains poorly understood. In this study, high-resolution dialysis was used to measure dissolved As in sediments from macrophyte-dominated (MD) and algae-dominated (AD) zones across different seasons. The relationship between sedimentary As fractionation and environmental variations was analyzed, and the As transformation process was explored. Results showed that the shift from macrophyte- to algae-dominated zones enhanced As release in sediments. Dissolved As in pore water of AD peaked at 120.36 μg/L in summer, exhibiting the highest release intensity, while MD showed a notable As release profile in spring (34.92 μg/L). In spring, decomposition and acidification of macrophyte residues, along with organic matter (OM) complexation, promoted the release of adsorbed As in MD. In contrast, reduction and dissolution of iron (Fe) oxides, along with competition for adsorption sites by dissolved phosphorus (P), drove As release in AD during summer. The high humification and low redox potential in MD sediments in summer promoted As-S co-precipitation, leading to As sequestration instead of release, this contrasts with the common view that warmer temperatures favor As release from sediments. The conversion from macrophytes to algae in eutrophic lakes may exacerbate the risk of As release, warranting further investigation.

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从以大型植物为主的湖泊系统到以藻类为主的湖泊系统的转变促进了沉积物中砷的释放

富营养化湖泊中大型植物的减少正在改变沉积物中的物质循环。然而，砷（As）对这些变化的反应仍然知之甚少。在这项研究中，高分辨率透析用于测量不同季节来自大型植物主导（MD）和藻类主导（AD）区域的沉积物中溶解的砷。分析了沉积As分馏与环境变化的关系，探讨了As的转化过程。结果表明，从大型植物为主区向藻类为主区转变促进了沉积物中砷的释放。AD孔隙水中溶解As在夏季峰值为120.36 μg/L，释放强度最高；MD孔隙水中溶解As在春季释放特征显著（34.92 μg/L）。春季，大型植物残留物的分解和酸化以及有机质络合促进了MD中吸附As的释放。相反，铁（Fe）氧化物的还原和溶解以及溶解的磷(P)对吸附位点的竞争促进了AD中As的释放。夏季MD沉积物的高腐植化和低氧化还原电位促进了As- s共沉淀，导致As的固存而不是释放，这与普遍认为温度升高有利于沉积物中As的释放的观点形成了对比。富营养化湖泊中大型植物向藻类的转化可能加剧砷释放的风险，值得进一步研究。

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来源期刊

Water Research 环境科学-工程：环境

CiteScore

20.80

自引率

9.40%

发文量

1307

审稿时长

38 days

期刊介绍： Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.