Author
Listed:
- Hao-Qin Xiong
(Yunnan Key Laboratory of Plateau Wetland Conservation, Restoration and Ecological Services, College of Wetlands, Southwest Forestry University, Kunming 650224, China
National Plateau Wetlands Research Center, Southwest Forestry University, Kunming 650224, China
National Wetland Ecosystem Fixed Research Station of Yunnan Dianchi, Southwest Forestry University, Kunming 650224, China
Dianchi Lake Ecosystem Observation and Research Station of Yunnan Province, Kunming 650228, China)
- Yan-Yun Du
(Yunnan Key Laboratory of Plateau Wetland Conservation, Restoration and Ecological Services, College of Wetlands, Southwest Forestry University, Kunming 650224, China
National Plateau Wetlands Research Center, Southwest Forestry University, Kunming 650224, China
National Wetland Ecosystem Fixed Research Station of Yunnan Dianchi, Southwest Forestry University, Kunming 650224, China
Dianchi Lake Ecosystem Observation and Research Station of Yunnan Province, Kunming 650228, China)
- Yi-Chuan Fang
(Yunnan Key Laboratory of Plateau Wetland Conservation, Restoration and Ecological Services, College of Wetlands, Southwest Forestry University, Kunming 650224, China
National Plateau Wetlands Research Center, Southwest Forestry University, Kunming 650224, China
National Wetland Ecosystem Fixed Research Station of Yunnan Dianchi, Southwest Forestry University, Kunming 650224, China
Dianchi Lake Ecosystem Observation and Research Station of Yunnan Province, Kunming 650228, China)
- Hong Xiang
(Yunnan Key Laboratory of Plateau Wetland Conservation, Restoration and Ecological Services, College of Wetlands, Southwest Forestry University, Kunming 650224, China
National Plateau Wetlands Research Center, Southwest Forestry University, Kunming 650224, China
National Wetland Ecosystem Fixed Research Station of Yunnan Dianchi, Southwest Forestry University, Kunming 650224, China
Dianchi Lake Ecosystem Observation and Research Station of Yunnan Province, Kunming 650228, China)
- Jia-Zhuo Qu
(Yunnan Key Laboratory of Plateau Wetland Conservation, Restoration and Ecological Services, College of Wetlands, Southwest Forestry University, Kunming 650224, China
National Plateau Wetlands Research Center, Southwest Forestry University, Kunming 650224, China
National Wetland Ecosystem Fixed Research Station of Yunnan Dianchi, Southwest Forestry University, Kunming 650224, China
Dianchi Lake Ecosystem Observation and Research Station of Yunnan Province, Kunming 650228, China)
- Xiao-Long Sun
(Yunnan Key Laboratory of Plateau Wetland Conservation, Restoration and Ecological Services, College of Wetlands, Southwest Forestry University, Kunming 650224, China
National Plateau Wetlands Research Center, Southwest Forestry University, Kunming 650224, China
National Wetland Ecosystem Fixed Research Station of Yunnan Dianchi, Southwest Forestry University, Kunming 650224, China
Dianchi Lake Ecosystem Observation and Research Station of Yunnan Province, Kunming 650228, China)
Abstract
Sediments are sources and sinks of heavy metals in water, and estuaries are heavily influenced by human production and life. Therefore, it is of great significance to study the composition of estuarine sediments and the relationship between their components to understand the transport and transformation pathways of heavy metals in the environment. In this research, we investigated the characteristics and patterns of Zn adsorption by organic–inorganic composites, organic–clay mineral composites, and iron oxide–clay mineral composites in eight estuarine sediment samples from Dianchi Lake. The results show that both Langmuir and Freundlich isothermal models can describe the adsorption behaviour of the adsorbent better. The order of the adsorption capacity of the three groups of samples for zinc was organic–inorganic composites > organic–clay mineral composites > iron oxide–clay mineral composites. Through FTIR and XRD analyses, the adsorption of Zn 2+ on the three groups of samples was dominated by electrostatic attraction and coordination adsorption, accompanied by the occurrence of ion exchange and co-precipitation. After FTIR semi-quantitative analysis, it was found that the source of the differences in the high and low Zn adsorption of the three types of samples may be mainly due to the content of phenolic functional groups in the organic matter. This may be related to the low redox site of the phenolic hydroxyl group, which, as an electron donor, is susceptible to electrostatic attraction and complexation with heavy metal cations. The organic–inorganic composite has a higher adsorption capacity for Zn when the ratio of the active fraction of organic matter to the free iron oxide content is 0.65–0.70. In this range, the organic matter can provide enough negative charge without making the sample surface too dense. Iron oxides can also activate the sample by providing sufficient contact between the clay minerals and the organic matter. When this ratio is too high or too low, it will be unfavourable for Zn adsorption.
Suggested Citation
Hao-Qin Xiong & Yan-Yun Du & Yi-Chuan Fang & Hong Xiang & Jia-Zhuo Qu & Xiao-Long Sun, 2024.
"Understanding Zinc Transport in Estuarine Environments: Insights from Sediment Composition,"
Sustainability, MDPI, vol. 16(14), pages 1-18, July.
Handle:
RePEc:gam:jsusta:v:16:y:2024:i:14:p:6113-:d:1437245
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