有机质有效性对沿海沉积物中磷循环的超线性控制

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Jing Sun , Xiaotian Zhou , Yuxuan Lin , Xingyu Yang , Liuqian Yu , Charmaine C.M. Yung , Qiong Zhang , Jiying Li
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引用次数: 0

摘要

沉积物中磷的再循环调节水柱磷的有效性。然而,在不同的环境条件下,沿海沉积物中磷再生和固定之间的平衡仍然缺乏量化,这给生物地球化学过程的建模和区域和全球地球化学预算的估计带来了挑战。研究了珠江口区域(9 ~ 63 m水深)沉积物磷循环,发现沉积物磷通量(4.9 ~ 1190 μmol m−2 d−1)存在显著变化。沉积物磷循环效率(P循环:P沉降)差异很大(24-96%),与有机质再矿化比例释放磷的预期一致性形成鲜明对比。与氧控制磷循环的经典模型不同,在富有机质沉积物中,氧渗透始终较浅,硝酸盐有效性成为主要控制因素。上游的高硝酸盐浓度保存了沉积物中结合磷的氧化铁,抑制了磷酸盐的释放。在河口和低硝酸盐近岸海域,沉积物磷酸盐外排随着沉积物吸氧量的增加而增加,这是有机质再矿化速率的一个指标。然而,效果是不成比例的,遵循超线性(幂律)关系。这是因为高有机质再矿化不仅再生了更多的磷酸盐,还通过铁和硫酸盐还原还原了更多的P结合铁氧化物,使P外排的促进作用加倍。在估算富含铁和有机质的类似海岸系统的沉积物-水交换时,应考虑到有机质对沉积物P循环的超线性控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Superlinear control of phosphorus recycling in coastal sediments by organic matter availability

Superlinear control of phosphorus recycling in coastal sediments by organic matter availability
Phosphorus (P) recycling from sediments regulates water column P availability. However, the balance between P regeneration and immobilization in coastal sediments under diverse environmental regimes remains poorly quantified, posing challenges for modeling biogeochemical processes and the estimation of regional and global geochemical budgets. We investigated sediment P cycling across the Pearl River Estuary region (9–63 m water depth), observing substantial variability in sediment phosphate effluxes (4.9–1190 μmol m−2 d−1). Sediment P recycling efficiency (P recycled: P sedimentation) varies strongly (24–96%), contrasting with the expected consistency under proportional phosphate release from organic matter remineralization. Unlike the classic model of oxygen controlling P recycling, in the organic-rich sediments where oxygen penetration is consistently shallow, nitrate availability becomes the dominant control. High nitrate concentrations upstream preserve P-binding iron oxides in the sediments, inhibiting phosphate release. At the estuary mouth and offshore areas with low nitrate, sediment phosphate efflux increases with sediment oxygen uptake, an indicator of organic matter remineralization rate. However, the effect is disproportionate, following a superlinear (power-law) relationship. This is because high organic matter remineralization not only regenerates more phosphate but also reduces more P-binding iron oxides through iron and sulfate reduction, doubling the promotion of P efflux. This superlinear control of sediment P recycling by organic matter should be considered in estimating sediment-water exchanges in similar coastal systems that are both iron and organic-matter rich.
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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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