Water temperature exhibits an overwhelming effect on the spatial allocation of sediment phosphorus fractions in the permanent backwater area of the Three Gorges Reservoir, China

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-01-27 DOI:10.1016/j.watres.2025.123177
Daoxi Zhang , Zhiyong Zhang , Jan-Peter Muller , Liming Zhu , Sanfeng Zhang , Ji Wan , Fang Shi , Xi Zou , Yulong Shi
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Abstract

The upstream cascade reservoirs and the implementation of soil and water conservation practices have effectively mitigated sediment inflow to the Three Gorges Reservoir (TGR) since it was fully operational in 2010. However, total deposited sediments and algal blooms in its tributaries have increased during the post-TGR period. To investigate the spatial distribution characteristics of deposited fractional phosphorus in sediments and its influencing factors, column sediment and overlying water datasets collected from field campaigns were analysed using the multivariate statistical approaches by Partial Triadic Analysis (PTA) and Redundancy Analysis (RDA). The results revealed that fractional phosphorus within the top 20 cm of the column sediment exhibited a distinct vertical structure, and the mean contents of total phosphorus (TP), inorganic phosphorus (Inorg-P) and calcium-bound phosphorus (Ca-P) contents were significantly higher than those measured in the deeper layer. Additionally, fractional phosphorus in the mainstream and estuary sections showed longitudinal distribution patterns. Inorg-P and Ca-P were prevalent in the upstream reaches, while the organic phosphorus (Org-P) and iron-aluminium-bound phosphorus (Fe/Al-P) were enriched in the lower mainstream and estuary regions. Sediment TP reached the highest level in the middle river reach. Multivariate regression via the RDA and variance partitioning indicated that environmental factors of the overlying water were significantly correlated with surface sediment phosphorus levels (Radj2=0.33, p<0.05). Physicochemical variables, particularly water temperature, exerted a stronger influence on the spatial allocation of sediment phosphorus fractions compared to water phosphorus content during the flood season. These findings highlight the need to address nutrients introduced from the mainstream to tributaries via backwater intrusion before implementing flood operation approaches for algal bloom mitigation. Furthermore, biomanipulation-based schemes may represent a promising strategy for improving water quality in TGR tributaries.

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来源期刊
Water Research
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.
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