Response of dissolved organic matter chemistry to flood control of a large river reservoir during an extreme storm event

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Kai Wang , Yu Pang , Yuanbi Yi , Shouye Yang , Yuntao Wang , Chen He , Quan Shi , Ding He
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引用次数: 4

Abstract

With the frequent occurrence of extreme floods under global climate change-induced storm events, reservoir operation has been highlighted for river flood control, complicating the transport and transformation of riverine dissolved organic matter (DOM), one of the largest reactive carbon pools on earth. In particular, the response of riverine DOM chemistry to reservoir flood control during extreme storm events is still unclear. To fill this knowledge gap, the mechanism of DOM variation in Yangtze River with the world's largest Three Gorges Reservoir (TGR) operation during an extreme storm event was explored. Optical and molecular properties of DOM varied significantly from upstream to downstream in non-TGR area, while no significant variation in DOM chemistry was observed in TGR area. The results uncovered a short time transformation of DOM from non-TGR area to TGR area, demonstrating that although storm event induced chemodiversity bloom of riverine DOM, flood control of TGR “re-constrained” DOM to more similar chemistry mainly under the influence of turbidity involved DOM transformation (e.g., adsorption/desorption and flocculation). Furthermore, combined with the hydrological information, we found that although TGR temporarily blocked dissolved organic carbon (DOC) flow during the flood event, the abundance of biologically recalcitrant DOC increased in TGR, which would contribute to its further transportation to downstream watershed. This study emphasizes the impact of TGR on extreme storm event-induced DOM dynamics, which also hints a better understanding of the crucial role of anthropogenic activity in affecting carbon cycling under extreme climate change.

Abstract Image

一次极端风暴事件中溶解有机质化学对大型河流水库防洪的响应
随着全球气候变化引发的风暴事件引发极端洪水的频繁发生,水库调度已成为河流防洪的重点,这使河流溶解有机质(DOM)的运输和转化变得复杂,而河流溶解有机质是地球上最大的活性碳库之一。特别是在极端风暴事件期间,河流DOM化学对水库防洪的响应尚不清楚。为了填补这一知识空白,本文探讨了极端风暴事件中世界最大的三峡水库运行时长江DOM变化的机制。在非TGR区域,DOM的光学性质和分子性质在上游和下游有显著差异,而在TGR区域DOM的化学性质没有显著变化。结果表明,DOM从非TGR区向TGR区转化的时间较短,说明虽然暴雨事件引起了河流DOM的化学多样性爆发,但TGR的防洪“重新约束”了DOM的化学性质更相似,主要是在浊度的影响下进行的DOM转化(如吸附/解吸和絮凝)。此外,结合水文信息,我们发现虽然在洪水事件期间TGR暂时阻断了溶解有机碳(DOC)的流动,但生物顽固性DOC在TGR中的丰度增加,这将有助于其进一步向下游流域输送。本研究强调了TGR对极端风暴事件引起的DOM动力学的影响,这也有助于更好地理解极端气候变化下人类活动在影响碳循环中的关键作用。
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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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