Online flow cytometry reveals microbial dynamics influenced by concurrent natural and operational events in groundwater used for drinking water treatment

被引:57
作者
Besmer, Michael D. [1 ,2 ]
Epting, Jannis [3 ]
Page, Rebecca M. [3 ,4 ]
Sigrist, Jurg A. [1 ]
Huggenberger, Peter [3 ]
Hammes, Frederik [1 ]
机构
[1] Eawag, Swiss Fed Inst Aquat Sci & Technol, Dept Environm Microbiol, Dubendorf, Switzerland
[2] Swiss Fed Inst Technol, Inst Biogeochem & Pollutant Dynam, Dept Environm Syst Sci, Zurich, Switzerland
[3] Univ Basel, Dept Environm Sci, Appl & Environm Geol, Basel, Switzerland
[4] Endress Hauser Schweiz AG, Kagenstr 2, CH-4153 Reinach, Switzerland
关键词
RIVER WATER; RAINFALL; CONTAMINATION; MANAGEMENT; BACTERIA; QUALITY; INFILTRATION; COMMUNITIES; FILTRATION; SYSTEMS;
D O I
10.1038/srep38462
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Detailed measurements of physical, chemical and biological dynamics in groundwater are key to understanding the important processes in place and their influence on water quality - particularly when used for drinking water. Measuring temporal bacterial dynamics at high frequency is challenging due to the limitations in automation of sampling and detection of the conventional, cultivation-based microbial methods. In this study, fully automated online flow cytometry was applied in a groundwater system for the first time in order to monitor microbial dynamics in a groundwater extraction well. Measurements of bacterial concentrations every 15 minutes during 14 days revealed both aperiodic and periodic dynamics that could not be detected previously, resulting in total cell concentration (TCC) fluctuations between 120 and 280 cells mu L-1. The aperiodic dynamic was linked to river water contamination following precipitation events, while the (diurnal) periodic dynamic was attributed to changes in hydrological conditions as a consequence of intermittent groundwater extraction. Based on the high number of measurements, the two patterns could be disentangled and quantified separately. This study i) increases the understanding of system performance, ii) helps to optimize monitoring strategies, and iii) opens the possibility for more sophisticated (quantitative) microbial risk assessment of drinking water treatment systems.
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页数:10
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