Physicochemical and isotopic similarity between well water and intruding surface water is not synonymous with similarity in prokaryotic diversity and community composition

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-02-01 Epub Date: 2024-11-18 DOI:10.1016/j.watres.2024.122812
Kevin J. Lyons , Vadim Yapiyev , Kaisa Lehosmaa , Anna-Kaisa Ronkanen , Pekka M. Rossi , Katharina Kujala
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Abstract

Intruding surface water can impact the physicochemical and microbiological quality of groundwater. Understanding these impacts is important because groundwater provides much of the world's potable water, and reduced quality is a potential public health risk. In this study, we monitored six shallow groundwater wells and three surface water bodies in the North Ostrobothnia region of Finland twice monthly for 12 months (October 2021–October 2022) via (i) on-site and off-site measurements of physicochemical water quality parameters, (ii) determination of stable water isotope compositions, and (iii) analysis of microbial communities (via amplicon sequencing of the V3–V4 16S rRNA gene sub-regions). Water from one well showed clear overall physicochemical and isotopic similarity with a nearby pond, as well as temporal fluctuations in water temperature and isotopes that mirrored those of the pond. Isotope mixing analyses suggested that about 80–95 % of the well water comes from the pond. Such large-scale intrusion might be expected to reduce prokaryotic diversity and composition in the aquifer, either by strong influx of surface water taxa or changes to aquifer physicochemistry. Compared to the pond, however, prokaryotic communities from the well showed significantly higher alpha diversity and a composition more similar to a nearby well unaffected by intrusion. The finding that physicochemical and isotopic similarity between well water and intruding surface water is not synonymous with similarity in prokaryotic diversity and community composition makes clear the need for a multi-method approach when studying the impact of surface water intrusion on shallow wells.

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井水和入侵地表水之间的物理化学和同位素相似性并不等同于原核生物多样性和群落组成的相似性
入侵的地表水会影响地下水的物理化学和微生物质量。了解这些影响非常重要,因为地下水提供了世界上大部分的饮用水,而水质下降会对公众健康造成潜在威胁。在这项研究中,我们在 12 个月内(2021 年 10 月至 2022 年 10 月)每月两次对芬兰北奥斯特罗布尼亚地区的六口浅层地下水井和三个地表水体进行监测,监测方法包括:(i)现场和非现场水质理化参数测量;(ii)稳定水同位素组成测定;以及(iii)微生物群落分析(通过 V3-V4 16S rRNA 基因亚区的扩增子测序)。一口水井的水与附近池塘的水在物理化学和同位素方面具有明显的整体相似性,水温和同位素的时间波动也与池塘的水温和同位素波动一致。同位素混合分析表明,大约 80-95% 的井水来自池塘。由于地表水类群的大量涌入或含水层物理化学的变化,这种大规模的入侵可能会减少含水层中原核生物的多样性和组成。然而,与池塘相比,水井中的原核生物群落显示出更高的α多样性,其组成与附近未受入侵影响的水井更为相似。井水与入侵地表水在物理化学和同位素方面的相似性并不等同于原核生物多样性和群落组成的相似性,这一发现清楚地表明,在研究地表水入侵对浅井的影响时,需要采用多种方法。
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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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