Long-term effects of dead algal deposition on sediment surfaces: Behavior of endogenous phosphorus release in sediments

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2024-11-06 DOI:10.1016/j.watres.2024.122742
Yanqi Chen , Dapeng Li , Songqi Liu , Yujie Zhang , Xinrui Yan , Xinyu Song , Ziyu Li , Boling Li , Sujie Shan , Yizhi Zhu , Jun Hou
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Abstract

Algae blooms are frequently triggered owing to the improvements in aquatic trophic levels. The aggregated algae from these blooms are eventually dead and accumulate on sediment surfaces, impacting the microenvironment and phosphorus cycling in aquatic systems. However, research on the effects of naturally dead algal deposition on endogenous P release from sediments is lacking. In this study, we investigated the long-term effects of dead algal deposition at varying concentrations on P release from sediments and the underlying mechanisms by assessing microbial metabolism and community structure. The results showed that following the dead algal deposition, the release of P from sediments to the water column peaked on day 40 (0.14±0.017 mg L-1 in Amend12) and the SRP exchange capacity reached maximum (6.09 ± 1.63 mg/(cm2·d) in Amend12) at sediment-water interface in phase1 (0–3 day). This might be primarily attributed to the deposition of dead algae introducing much organic matter (such as organic carbon and organic phosphorus), thus altering the sediment microenvironment, which increased the activity of phosphorus-cycle microorganisms, such as polyphosphate-accumulating organisms, through increasing C source metabolism, reducing intracellular ammonia inhibition, and creating more suitable anaerobic conditions. Therefore, this study has improved our understanding of the management strategies for controlling endogenous phosphorus release in eutrophic shallow lakes, suggesting that the priming effects of freshly deposited algae could be mitigated by harvesting algae at the peak of blooms.

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死藻沉积对沉积物表面的长期影响:沉积物中的内源磷释放行为
水生营养级的提高经常会引发藻华。藻华产生的聚集藻类最终会死亡,并堆积在沉积物表面,影响水生系统的微环境和磷循环。然而,有关自然死亡藻类沉积对沉积物内源磷释放的影响的研究还很缺乏。在这项研究中,我们通过评估微生物代谢和群落结构,研究了不同浓度的死藻沉积对沉积物中磷释放的长期影响及其内在机制。结果表明,死藻沉积后,沉积物向水体的 P 释放量在第 40 天达到峰值(Amend12 为 0.14±0.017 mg L-1),SRP 交换能力在第一阶段(0-3 天)达到最大值(Amend12 为 6.09±1.63 mg/(cm2-d))。这可能主要归因于死亡藻类的沉积引入了大量的有机质(如有机碳和有机磷),从而改变了沉积物的微环境,通过增加C源代谢、减少细胞内氨抑制和创造更合适的厌氧条件,提高了磷循环微生物(如聚磷酸盐积累生物)的活性。因此,这项研究加深了我们对控制富营养化浅水湖泊内源磷释放的管理策略的理解,表明在藻类繁殖高峰期收割藻类可减轻新沉积藻类的引诱效应。
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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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