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Cao Y, Zhu J, Gao Z, Li S, Zhu Q, Wang H, Huang Q. Spatial dynamics and risk assessment of phosphorus in the river sediment continuum (Qinhuai River basin, China). ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:2198-2213. [PMID: 38055174 DOI: 10.1007/s11356-023-31241-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 11/21/2023] [Indexed: 12/07/2023]
Abstract
This study investigated the concentration and fractionation of phosphorus (P) using sequential P extraction and their influencing factors by introducing the PLS-SEM model (partial least squares structural equation model) along this continuum from the Qinhuai River. The results showed that the average concentrations of inorganic P (IP) occurred in the following order: urban sediment (1499.1 mg/kg) > suburban sediment (846.1-911.9 mg/kg) > rural sediment (661.1 mg/kg) > natural sediment (179.9 mg/kg), and makes up to 53.9-87.1% of total P (TP). The same as the pattern of IP, OP nearly increased dramatically with increasing the urbanization gradient. This spatial heterogenicity of P along a river was attributed mainly to land use patterns and environmental factors (relative contribution affecting the P fractions: sediment nutrients > metals > grain size). In addition, the highest values of TP (2876.5 mg/kg), BAP (biologically active P, avg, 675.7 mg/kg), and PPI (P pollution index, ≥ 2.0) were found in urban sediments among four regions, indicating a higher environmental risk of P release, which may increase the risk of eutrophication in overlying water bodies. Collectively, this work improves the understanding of the spatial dynamics of P in the natural-rural-urban river sediment continuum, highlights the need to control P pollution in urban sediments, and provides a scientific basis for the future usage and disposal of P in sediments.
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Affiliation(s)
- Yanyan Cao
- Key Laboratory of Integrated Regulation and Resource Development On Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing, 210098, China
| | - Jianzhong Zhu
- Key Laboratory of Integrated Regulation and Resource Development On Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing, 210098, China.
| | - Zhimin Gao
- Key Laboratory of Integrated Regulation and Resource Development On Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing, 210098, China
| | - Sanjun Li
- Key Laboratory of Integrated Regulation and Resource Development On Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing, 210098, China
| | - Qiuzi Zhu
- Key Laboratory of Integrated Regulation and Resource Development On Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing, 210098, China
| | - Hailong Wang
- Key Laboratory of Integrated Regulation and Resource Development On Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing, 210098, China
| | - Qi Huang
- College of Life Science, Taizhou University, Taizhou, 318000, Zhejiang, China
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Liu Y, Hu Y, Yu C, Gao Y, Liu Z, Mostofa KMG, Li S, Hu Y, Yu G. Spatiotemporal optical properties of dissolved organic matter in a sluice-controlled coastal plain river with both salinity and trophic gradients. J Environ Sci (China) 2023; 129:1-15. [PMID: 36804226 DOI: 10.1016/j.jes.2022.09.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 09/21/2022] [Accepted: 09/22/2022] [Indexed: 06/18/2023]
Abstract
Due to the combined effect of sluices and sea tide, the sluice-controlled coastal plain river would be characterized by both trophic state and salinity gradients, affecting the spatiotemporal optical properties of dissolved organic matter (DOM). In this study, we investigated the spatiotemporal variation of water quality parameters and optical properties of DOM in the Haihe River, a representative sluice-controlled coastal plain river in Tianjin, China. A significant salinity gradient and four trophic states were observed in the water body of the Haihe River. Two humic- and one protein-like substances were identified from the DOM by the three-dimensional fluorescence spectra combined with the parallel factor (PARAFAC) analysis. Pearson's correlation analysis and redundancy analysis (RDA) showed that the salinity significantly affected the abundance of chromophoric DOM (CDOM) but did not cause significant changes in the fluorescence optical characteristics. In addition, the effect of Trophic state index (TSI) on the CDOM abundance was greater than that on the fluorescence intensity of fluorescent dissolved organic matter (FDOM). In the water body with both salinity and trophic state gradients, TSI posed a greater influence than salinity on the CDOM abundance. Our results fill the research gap in spatiotemporal DOM characteristics and water quality variation in water bodies with both salinity and trophic state gradients. These results are beneficial for clarifying the joint influence of saline intrusion and sluices on the DOM characteristics and water quality in sluice-controlled coastal plain rivers.
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Affiliation(s)
- Yu Liu
- School of Earth System Science, Institute of Surface-Earth System Science, Tianjin University, Tianjin 300072, China.
| | - Yucheng Hu
- Tianjin Hydraulic Science Research Institute, Tianjin 300061, China
| | - Chengxun Yu
- School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300191, China
| | - Yuqi Gao
- School of Mathematics, Tianjin University, Tianjin 300072, China
| | - Zhenying Liu
- School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300191, China
| | - Khan M G Mostofa
- School of Earth System Science, Institute of Surface-Earth System Science, Tianjin University, Tianjin 300072, China
| | - Siliang Li
- School of Earth System Science, Institute of Surface-Earth System Science, Tianjin University, Tianjin 300072, China
| | - Yumei Hu
- School of Mathematics, Tianjin University, Tianjin 300072, China
| | - Guanghui Yu
- School of Earth System Science, Institute of Surface-Earth System Science, Tianjin University, Tianjin 300072, China
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