Development of a novel in-sediment passive sampler for profiling orthophosphate and internal phosphorus release near the sediment–water interface in a eutrophic lake

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Kazuto Sano, Jumpei Ueda, Akira Hafuka, Katsuki Kimura
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引用次数: 0

Abstract

Internal phosphorus (P) release from lake sediments is now recognized as an important P supply that maintains eutrophication, especially in lakes where stratification induces hypoxic conditions in the bottom waters. Freshwater lakes are increasingly threatened by eutrophication and harmful algal blooms. Therefore, to manage lakes, it is important to quantify the internal P release. The internal flux of P (i.e., the orthophosphate (PO4) released from the sediments) may be miscalculated by the methods used to date, such as sediment core samples because the concentrations may be affected when the sediment is disturbed, and the spatial resolution of the sampling may be low. In this study, we developed a novel in-sediment passive sampler to determine the PO4 flux from sediment and deployed it in a eutrophic lake, Lake Barato in Sapporo, Japan. We also deployed Chemcatcher passive samplers for PO4 at the same time to investigate the change in the PO4 concentrations in the water column. With these methods, we obtained the vertical and horizontal distributions of the PO4 concentrations in the sediment porewater across approximately 10 × 20 cm close to the sediment–water interface (SWI) and in the water column. We observed relatively large centimeter-scale PO4 hotspots within the shallow sediment layers (−1 to −5 cm below the SWI). These PO4 hotspots were significantly larger during the summer season than in the other seasons, when thermal stratification and hypoxia influenced the P release. The PO4 fluxes calculated with data from the in-sediment passive samplers ranged from 0.05 to 0.37 mg-P/m2/d, and were considerably lower than the estimates from the conventional sediment core sampling methods. In addition, the data from the Chemcatcher passive samplers showed that the temporal patterns in the time-weighted average PO4 concentrations (around 10 µg-P/L) in the water column were consistent with the patterns from the in-sediment sampler. The results suggest that the in-sediment sampler provided a high-resolution vertical profile of the PO4 concentrations near the SWI with minimal sediment disturbance, and that passive sampling techniques could be used to monitor the fluxes of PO4 released from sediments and the PO4 concentrations in the water column.

Abstract Image

Abstract Image

富营养化湖泊沉积物-水界面附近正磷酸盐和内磷释放剖面的新型沉积物被动采样器的研制
湖泊沉积物的内部磷(P)释放现在被认为是维持富营养化的重要磷供应,特别是在分层导致底部缺氧条件的湖泊中。淡水湖泊正日益受到富营养化和有害藻华的威胁。因此,湖泊内部磷释放量的量化是湖泊管理的重要内容。P的内部通量(即沉积物释放的正磷酸盐(PO4))可能会被迄今使用的方法(如沉积物岩心样品)错误计算,因为当沉积物受到干扰时,浓度可能会受到影响,而且采样的空间分辨率可能较低。在这项研究中,我们开发了一种新的沉积物被动采样器来测定沉积物中的PO4通量,并将其部署在日本札幌的富营养化湖泊巴拉托湖。同时,我们还部署了Chemcatcher被动PO4采样器,以研究水柱中PO4浓度的变化。利用这些方法,我们获得了沉积物孔隙水中PO4浓度在靠近沉积物-水界面(SWI)约10 × 20 cm范围内和水柱中的垂直和水平分布。我们在浅层沉积物层(SWI以下- 1至- 5 cm)中观察到相对较大的厘米尺度PO4热点。这些PO4热点在夏季显著大于其他季节,此时热分层和缺氧影响了磷的释放。沉积物中被动采样器数据计算的PO4通量范围为0.05 ~ 0.37 mg-P/m2/d,大大低于传统沉积物岩心采样方法的估计值。此外,Chemcatcher被动采样器的数据显示,水柱中时间加权平均PO4浓度(约10µg-P/L)的时间模式与沉积物中采样器的模式一致。结果表明,沉积物内采样器在最小泥沙干扰下提供了SWI附近PO4浓度的高分辨率垂直剖面,被动采样技术可用于监测沉积物释放的PO4通量和水柱中PO4浓度。
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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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