Seasonal variations and hydrological management regulate nutrient transport in cascade damming: Insights from carbon and nitrogen isotopes

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-03-01 Epub Date: 2024-11-30 DOI:10.1016/j.watres.2024.122894
Yujing Yang , Wanfa Wang , Shengde Yu , Yuanbi Yi , Sen Xu , Yuanzhi Yao , Jun Zhong , Wenhong Shi , Sainan Chen , Qixin Wu , Zuhong Ou , Hu Ding , Si-Liang Li
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Abstract

Reservoirs around the world have significantly altered the natural transport of nutrients in rivers. However, the specific effects of the cascade damming on the migration, transformation, and environmental consequences of these nutrients remain unclear. To address this knowledge gap, we analyzed spatiotemporal variations in water chemistry, nutrient concentrations, stable isotope of dissolved inorganic carbon (δ13CDIC) and nitrate isotope (δ15N-NO3-) in seven cascade reservoirs along the Wujiang River, each characterized by different regulatory regimes. Our findings reveal that the average absolute changes in concentrations of total nitrogen (TN), total phosphorus (TP), and silicon dioxide (SiO2) during the wet season (WS, spring and summer) were 2.4, 1.4, and 1.1 times higher than those observed in the dry season (DS, autumn and winter). During the WS, the average apparent retention efficiency (*RETf) values in the Hongjiadu reservoir were 97 % for TN, 98 % for TP, and 95 % for SiO2, indicating substantial nutrient consumption in the cascading reservoirs. Conversely, during the DS, the *RETf values for TN, TP, and SiO2 were negative, suggesting notable nutrient accumulation within the reservoirs. The nutrient fluxes released downstream from the cascade reservoirs in the Wujiang River were significantly greater than the upstream inflow fluxes. These findings help demonstrate how downstream discharge across cascade reservoirs amplifies nutrient flux disparities due to dam construction. Our study enhances the understanding of how cascade dam construction impacts nutrient dynamics, supporting the optimization of reservoir operation models and advancing scientific water resource management and conservation efforts.

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季节变化和水文管理调节梯级筑坝中的营养物质运输:来自碳和氮同位素的见解
世界各地的水库极大地改变了河流中营养物质的自然运输。然而,梯级筑坝对这些营养物质的迁移、转化和环境后果的具体影响尚不清楚。为了解决这一知识空白,我们分析了乌江流域7个梯级水库的水化学、营养物质浓度、溶解无机碳稳定同位素(δ13CDIC)和硝酸盐同位素(δ15N-NO3-)的时空变化,每个水库都具有不同的调节机制。结果表明,雨季(WS,春夏季)总氮(TN)、总磷(TP)和二氧化硅(SiO2)浓度的平均绝对变化分别是旱季(DS,秋冬季)的2.4倍、1.4倍和1.1倍。在WS期间,洪家渡水库TN、TP和SiO2的平均表观保留效率(*RETf)分别为97%、98%和95%,说明级联水库消耗了大量的养分。相反,在DS期间,TN、TP和SiO2的*RETf值为负,表明储层内存在显著的营养积累。乌江梯级水库下游释放的养分通量显著大于上游流入通量。这些发现有助于证明梯级水库的下游流量如何放大大坝建设造成的营养通量差异。我们的研究增强了对梯级水坝建设如何影响营养动态的理解,支持水库运行模式的优化,推进科学的水资源管理和保护工作。
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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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