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定量追踪(亚)深层水库中下沉过程内源性颗粒有机碳的分解:利用放射性碳同位素ΔC

Quantitatively tracing the decomposition of endogenous particulate organic carbon during sinking in (sub-)deep reservoirs: Using radiocarbon isotopes ΔC.

作者信息

Yin Chao, Zeng Yan, Chen Jingan, Ran Guangrong, Yang Haiquan, Yu Jia, Wang Jingfu, Zhang Ziyan, Guo Xudong

机构信息

State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550001, PR China; Guizhou Province Field Scientific Observation and Research Station of Hongfeng Lake Reservoir Ecosystem, Guiyang, 551499, PR China.

State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550001, PR China; Guizhou Province Field Scientific Observation and Research Station of Hongfeng Lake Reservoir Ecosystem, Guiyang, 551499, PR China.

出版信息

Water Res. 2025 Mar 1;271:123003. doi: 10.1016/j.watres.2024.123003. Epub 2024 Dec 21.

Abstract

The rapid expansion of reservoirs, coupled with increasing eutrophication, has profoundly influenced regional and global carbon cycles. To precisely assess the carbon sink potential of reservoirs, it is crucial to quantify the decomposition of endogenous particulate organic carbon (POC) during the deposition and sinking of particulate matter in reservoirs. This is particularly important in the context of rising temperatures and intensified human activities. In this study, the Hongfeng Reservoir, an artificial reservoir in a karst basin on the Yunnan-Guizhou Plateau in China, was selected as a representative reservoir to systematically explore the sources and evolution of endogenous POC in (sub-)deep reservoirs. Particulate matter and water samples were collected from inflowing rivers and reservoir water profiles to analyze the content of POC, stable isotope of POC (δC), radioisotope of POC (ΔC), particulate nitrogen, and chlorophyll concentrations. The results revealed significant differences in POC content and carbon isotope signatures between riverine and reservoir particulate matter, primarily due to distinct POC sources. Riverine particulate matter exhibited C/N ratios of 10.4 to 18.4, δC values of -29.3 ‰ to -26.1 ‰, and ΔC values of -282 ‰ to -183 ‰, in contrast, particulate matter in the reservoir's surface water had C/N ratios of 5.1 to 6.9, δC values of -34.6 ‰ to -31.3 ‰, and ΔC values of -162 ‰ to -143 ‰. From the surface to the bottom of the reservoir water profile, the C/N ratio of particulate matter gradually increased, ΔC became increasingly negative, and δC exhibited varying trends across different water profiles. The combined analysis of chlorophyll and other variables demonstrated that ΔC is the most reliable indicator for tracing the source and decomposition process of POC during particulate matter sinking in the reservoir. Quantitative estimates based on ΔC indicated that the contribution of endogenous POC decreased from 73-85 % in the surface water to 41-57 % in the bottom water, with 74.7-75.4 % of endogenous POC decomposed during the sinking process, suggesting that only a small fraction of endogenous organic matter could reach the reservoir bottom and was ultimately buried in sediments. Future research should focus on quantifying the fate of endogenous organic matter decomposition products to enhance understanding of reservoirs' carbon sink potential.

摘要

水库的迅速扩张,加上富营养化加剧,对区域和全球碳循环产生了深远影响。为了精确评估水库的碳汇潜力,量化水库中颗粒物沉积和下沉过程中内源颗粒有机碳(POC)的分解至关重要。在气温上升和人类活动加剧的背景下,这一点尤为重要。在本研究中,中国云贵高原喀斯特盆地的人工水库红枫水库被选为代表性水库,系统地探究(亚)深水水库中内源POC的来源和演变。从流入河流和水库水剖面采集颗粒物和水样,以分析POC含量、POC稳定同位素(δC)、POC放射性同位素(ΔC)、颗粒态氮和叶绿素浓度。结果显示,河流颗粒物和水库颗粒物之间的POC含量和碳同位素特征存在显著差异,主要是由于POC来源不同。河流颗粒物的C/N比为10.4至18.4,δC值为-29.3‰至-26.1‰,ΔC值为-282‰至-183‰;相比之下,水库表层水的颗粒物C/N比为5.1至6.9,δC值为-34.6‰至-31.3‰,ΔC值为-162‰至-143‰。从水库水剖面的表层到底层,颗粒物的C/N比逐渐增加,ΔC变得越来越负,且δC在不同水剖面呈现不同趋势。叶绿素与其他变量的综合分析表明,ΔC是追踪水库中颗粒物下沉过程中POC来源和分解过程的最可靠指标。基于ΔC的定量估计表明,内源POC的贡献从表层水的73 - 85%降至底层水的41 - 57%,74.7 - 75.4%的内源POC在下沉过程中分解,这表明只有一小部分内源有机物能够到达水库底部并最终埋藏在沉积物中。未来的研究应侧重于量化内源有机物分解产物的归宿,以加深对水库碳汇潜力的理解。

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