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基于荧光的多参数方法用于描述高山喀斯特泉中有机碳、粪便细菌和颗粒的动态特征。

Fluorescence-based multi-parameter approach to characterize dynamics of organic carbon, faecal bacteria and particles at alpine karst springs.

机构信息

Institute of Applied Geosciences, Division of Hydrogeology, Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76131 Karlsruhe, Germany.

出版信息

Sci Total Environ. 2018 Feb 15;615:1446-1459. doi: 10.1016/j.scitotenv.2017.09.095. Epub 2017 Sep 19.

Abstract

Karst springs, especially in alpine regions, are important for drinking water supply but also vulnerable to contamination, especially after rainfall events. This high variability of water quality requires rapid quantification of contamination parameters. Here, we used a fluorescence-based multi-parameter approach to characterize the dynamics of organic carbon, faecal bacteria, and particles at three alpine karst springs. We used excitation emission matrices (EEMs) to identify fluorescent dissolved organic material (FDOM). At the first system, peak A fluorescence and total organic carbon (TOC) were strongly correlated (Spearman's r of 0.949), indicating that a large part of the organic matter is related to humic-like substances. Protein-like fluorescence and cultivation-based determination of coliform bacteria also had a significant correlation with r=0.734, indicating that protein-like fluorescence is directly related to faecal pollution. At the second system, which has two spring outlets, the absolute values of all measured water-quality parameters were lower; there was a significant correlation between TOC and humic-like fluorescence (r=0.588-0.689) but coliform bacteria and protein-like fluorescence at these two springs were not correlated. Additionally, there was a strong correlation (r=0.571-0.647) between small particle fractions (1.0 and 2.0μm), a secondary turbidity peak and bacteria. At one of these springs, discharge was constant despite the reaction of all other parameters to the rainfall event. Our results demonstrated that i) all three springs showed fast and marked responses of all investigated water-quality parameters after rain events; ii) a constant discharge does not necessarily mean constant water quality; iii) at high contamination levels, protein-like fluorescence is a good indicator of bacterial contamination, while at low contamination levels no correlation between protein-like fluorescence and bacterial values was detected; and iv) a combination of fluorescence measurements and particle-size analysis is a promising approach for a rapid assessment of organic contamination, especially relative to time-consuming conventional bacterial determination methods.

摘要

喀斯特泉,特别是在高山地区,是饮用水供应的重要来源,但也容易受到污染,特别是在降雨事件之后。这种水质的高度变异性需要快速量化污染参数。在这里,我们使用基于荧光的多参数方法来描述三个高山喀斯特泉中有机碳、粪便细菌和颗粒的动态。我们使用激发发射矩阵 (EEM) 来识别荧光溶解有机物质 (FDOM)。在第一个系统中,峰 A 荧光和总有机碳 (TOC) 呈强相关性 (Spearman 相关系数为 0.949),表明大部分有机物与腐殖质样物质有关。类蛋白荧光与基于培养的大肠菌群测定也有显著相关性,相关系数为 0.734,表明类蛋白荧光与粪便污染直接相关。在第二个系统中,有两个泉口,所有测量的水质参数的绝对值都较低;TOC 和腐殖质样荧光之间存在显著相关性 (r=0.588-0.689),但这两个泉口中的大肠菌群和类蛋白荧光没有相关性。此外,小颗粒分数 (1.0 和 2.0μm)、二次浊度峰和细菌之间存在很强的相关性 (r=0.571-0.647)。在其中一个泉口中,尽管所有其他参数对降雨事件都有反应,但流量保持不变。我们的结果表明:i) 所有三个泉在降雨事件后都表现出所有研究水质参数的快速和显著响应;ii) 恒定的流量不一定意味着恒定的水质;iii) 在高污染水平下,类蛋白荧光是细菌污染的良好指标,而在低污染水平下,未检测到类蛋白荧光与细菌值之间的相关性;iv) 荧光测量和颗粒尺寸分析的组合是快速评估有机污染的一种很有前途的方法,特别是相对于耗时的传统细菌测定方法。

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