Seasonal dynamics of groundwater discharge: Unveiling the complex control over reservoir greenhouse gas emissions

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Chang Qian , Qianqian Wang , Benjamin S. Gilfedder , Sven Frei , Jieyu Yu , Giri R. Kattel , Zhi-Guo Yu
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Abstract

The pronounced topographical differences, giving rise to numerous water bodies, also endow these formations with substantial hydraulic gradients, leading to pronounced groundwater discharge within their low-lying, natural reservoir settings. However, the dynamics of groundwater discharge in reservoirs and their impact on greenhouse gas (GHG) production and emission under different conditions remain unclear. This study focuses on a reservoir in southeastern China, where we conducted seasonal field observations alongside microcosm incubation experiments to elucidate the relationship between greenhouse gas emissions and groundwater discharge. Based on the radon (222Rn) mass balance model, groundwater discharge rates were estimated to be 2.14 ± 0.49 cm d−1 in autumn, 4.04 ± 2.09 cm d−1 in winter, 2.55 ± 1.32 cm d−1 in spring, and 2.61 ± 1.93 cm d−1 in summer. Groundwater discharge contributes on average to 31.23 % of CH4, 35.65 % of CO2, and 11.26 % of N2O emissions across all seasons in the reservoir. Groundwater primarily influences GHG emissions by directly inputting carbon and nitrogen, as well as by altering aquatic chemical conditions and the environment of dissolved organic matter (DOM), exerting significant effects particularly during spring and autumn seasons. Especially, in winter, higher groundwater discharge rates influence microbial activity and environmental conditions in the water body, including the C/N ratio, which somewhat reduces its enhancement of greenhouse gas emissions. This study provides an in-depth exploration of greenhouse gas emissions from reservoirs and examines the impact of groundwater on these emissions, aiming to reduce uncertainties in understanding greenhouse gas emission mechanisms and carbon and nitrogen cycling.
地下水排放的季节动态:揭开水库温室气体排放复杂控制的面纱
明显的地形差异带来了众多水体,也赋予了这些地层巨大的水力梯度,导致其低洼的天然水库环境中地下水排放明显。然而,水库地下水排放的动态及其在不同条件下对温室气体(GHG)产生和排放的影响仍不清楚。本研究以中国东南部的一座水库为研究对象,在进行季节性实地观测的同时,还进行了微生态培养实验,以阐明温室气体排放与地下水排放之间的关系。根据氡(222Rn)质量平衡模型,估计秋季地下水排放量为 2.14 ± 0.49 cm d-1,冬季为 4.04 ± 2.09 cm d-1,春季为 2.55 ± 1.32 cm d-1,夏季为 2.61 ± 1.93 cm d-1。在水库的各个季节,地下水排放量平均占 CH4 排放量的 31.23%、CO2 排放量的 35.65%、N2O 排放量的 11.26%。地下水主要通过直接输入碳和氮以及改变水生化学条件和溶解有机物(DOM)环境来影响温室气体排放,尤其在春秋两季影响显著。特别是在冬季,较高的地下水排放率会影响水体中的微生物活动和环境条件,包括碳氮比,这在一定程度上降低了其对温室气体排放的促进作用。本研究深入探讨了水库的温室气体排放,并研究了地下水对这些排放的影响,旨在减少对温室气体排放机制和碳氮循环的不确定性认识。
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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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