Hongyu Ding , Jing Su , Yuanyuan Sun , Huibin Yu , Mingxia Zheng , Beidou Xi
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Combining stable isotope and hydrochemical parameters, except for surface water (SW), two groups of groundwater samples were defined, namely, deeply influenced by surface water (IGW) and groundwater nearly non-influenced by surface water (UGW), which were 50.34 % and 19.39 % recharged by surface water, respectively. According to principal component coefficients, reassembled EEM data of these categories highlighted variations of the tyrosine-like peak in DOM. EEMs coupled with PARAFAC extracted five components (C1-C5), i.e. C1, protein-like substances, C2 and C4, humic-like substances, and C3 and C5, microbial-related substances. The abundance of the protein-like was SW > IGW > UGW, while the order of the humic-like was opposite. The bacterial communities exhibited an obvious cluster across three regions, which hinted their sensitivity to variations in environmental conditions. Based on co-occurrence, SW represented the highest connectivity between bacterial OTUs and DOM fractions, followed by IGW and UGW. SEM revealed that microbial activities increased bioavailability of the humic-like in the SW and IGW, whereas microbial compositions promoted the evolution of humic-like substances in the UGW. Generally, these results could be conducive to discern dissimilarity in DOM fractions across surface water and shallow groundwater, and further trace their interactions in the river watershed.</p></div>","PeriodicalId":443,"journal":{"name":"Water Research","volume":"258 ","pages":"Article 121797"},"PeriodicalIF":12.4000,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Insight into spatial variations of DOM fractions and its interactions with microbial communities of shallow groundwater in a mesoscale lowland river watershed\",\"authors\":\"Hongyu Ding , Jing Su , Yuanyuan Sun , Huibin Yu , Mingxia Zheng , Beidou Xi\",\"doi\":\"10.1016/j.watres.2024.121797\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Dissolved organic matter (DOM) plays a crucial role in driving biogeochemical processes and determining water quality in shallow groundwater systems, where DOM could be susceptible to dynamic influences of surface water influx. 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引用次数: 0
摘要
在浅层地下水系统中,溶解有机物(DOM)在推动生物地球化学过程和决定水质方面起着至关重要的作用,而在浅层地下水系统中,溶解有机物很容易受到地表水流入的动态影响。本研究采用荧光激发-发射矩阵(EEM)光谱法,结合主成分系数、并行因子分析(PARAFAC)、共现网络分析和结构方程建模(SEM),研究了中尺度低地河流流域从地表水到浅层地下水中 DOM 分量的变化。结合稳定同位素和水化学参数,除地表水(SW)外,定义了两组地下水样品,即受地表水影响较深的地下水(IGW)和几乎不受地表水影响的地下水(UGW),这两组地下水分别有 50.34% 和 19.39% 受地表水补给。根据主成分系数,重新组合的这些类别的 EEM 数据突出显示了 DOM 中酪氨酸类峰值的变化。EEM 结合 PARAFAC 提取了五个成分(C1-C5),即 C1 蛋白质类物质,C2 和 C4 腐殖质类物质,C3 和 C5 微生物相关物质。蛋白样物质的丰度顺序为 SW > IGW > UGW,而腐殖样物质的丰度顺序则相反。细菌群落在三个区域内呈现出明显的聚类现象,这表明它们对环境条件的变化非常敏感。从共生率来看,SW 代表了细菌 OTU 与 DOM 分馏物之间最高的连接性,其次是 IGW 和 UGW。扫描电子显微镜(SEM)显示,微生物的活动提高了西南部和IGW中类腐殖质的生物利用率,而微生物组成则促进了UGW中类腐殖质的演化。总体而言,这些结果有助于发现地表水和浅层地下水中 DOM 成分的差异,并进一步追踪它们在流域中的相互作用。
Insight into spatial variations of DOM fractions and its interactions with microbial communities of shallow groundwater in a mesoscale lowland river watershed
Dissolved organic matter (DOM) plays a crucial role in driving biogeochemical processes and determining water quality in shallow groundwater systems, where DOM could be susceptible to dynamic influences of surface water influx. This study employed fluorescence excitation-emission matrix (EEM) spectroscopy combined with principal component coefficients, parallel factor analysis (PARAFAC), co-occurrence network analysis and structural equation modeling (SEM) to examine changes of DOM fractions from surface water to shallow groundwater in a mesoscale lowland river basin. Combining stable isotope and hydrochemical parameters, except for surface water (SW), two groups of groundwater samples were defined, namely, deeply influenced by surface water (IGW) and groundwater nearly non-influenced by surface water (UGW), which were 50.34 % and 19.39 % recharged by surface water, respectively. According to principal component coefficients, reassembled EEM data of these categories highlighted variations of the tyrosine-like peak in DOM. EEMs coupled with PARAFAC extracted five components (C1-C5), i.e. C1, protein-like substances, C2 and C4, humic-like substances, and C3 and C5, microbial-related substances. The abundance of the protein-like was SW > IGW > UGW, while the order of the humic-like was opposite. The bacterial communities exhibited an obvious cluster across three regions, which hinted their sensitivity to variations in environmental conditions. Based on co-occurrence, SW represented the highest connectivity between bacterial OTUs and DOM fractions, followed by IGW and UGW. SEM revealed that microbial activities increased bioavailability of the humic-like in the SW and IGW, whereas microbial compositions promoted the evolution of humic-like substances in the UGW. Generally, these results could be conducive to discern dissimilarity in DOM fractions across surface water and shallow groundwater, and further trace their interactions in the river watershed.
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.