Literature DB >> 18776628

Microbiological monitoring and automated event sampling at karst springs using LEO-satellites.

H Stadler1, P Skritek, R Sommer, R L Mach, W Zerobin, A H Farnleitner.   

Abstract

Data communication via Low-Earth-Orbit (LEO) Satellites between portable hydrometeorological measuring stations is the backbone of our system. This networking allows automated event sampling with short time increments also for E. coli field analysis. All activities of the course of the event-sampling can be observed on an internet platform based on a Linux-Server. Conventionally taken samples compared with the auto-sampling procedure revealed corresponding results and were in agreement with the ISO 9308-1 reference method. E. coli concentrations were individually corrected by event specific inactivation coefficients (0.10-0.14 day(-1)), compensating losses due to sample storage at spring temperature in the auto sampler.Two large summer events in 2005/2006 at an important alpine karst spring (LKAS2) were monitored including detailed analysis of E. coli dynamics (n = 271) together with comprehensive hydrological characterisations. High-resolution time series demonstrated a sudden increase of E. coli concentrations in spring water (approximately 2 log10 units) with a specific time delay after the beginning of the event. Statistical analysis suggested the spectral absorption coefficient measured at 254 nm (SAC254) as an early warning surrogate for real time monitoring of faecal input. Together with the LEO-satellite based system it is a helpful tool for early-warning systems in the field of drinking water protection. Copyright IWA Publishing 2008.

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Year:  2008        PMID: 18776628      PMCID: PMC3117179          DOI: 10.2166/wst.2008.442

Source DB:  PubMed          Journal:  Water Sci Technol        ISSN: 0273-1223            Impact factor:   1.915


  2 in total

1.  A comparison of the International Standards Organisation reference method for the detection of coliforms and Escherichia coli in water with a defined substrate procedure.

Authors:  S I Niemela; J V Lee; C R Fricker
Journal:  J Appl Microbiol       Date:  2003       Impact factor: 3.772

2.  Bacterial dynamics in spring water of alpine karst aquifers indicates the presence of stable autochthonous microbial endokarst communities.

Authors:  Andreas H Farnleitner; Ines Wilhartitz; Gabriela Ryzinska; Alexander K T Kirschner; Hermann Stadler; Martina M Burtscher; Romana Hornek; Ulrich Szewzyk; Gerhard Herndl; Robert L Mach
Journal:  Environ Microbiol       Date:  2005-08       Impact factor: 5.491

  2 in total
  11 in total

1.  Determination of dual parameter auto-sampling trigger thresholds for pollutant load monitoring in various land uses.

Authors:  Fidelia Nnadi; Eric Gurr
Journal:  Environ Monit Assess       Date:  2015-04-03       Impact factor: 2.513

2.  Escherichia coli and enterococci are sensitive and reliable indicators for human, livestock and wildlife faecal pollution in alpine mountainous water resources.

Authors:  A H Farnleitner; G Ryzinska-Paier; G H Reischer; M M Burtscher; S Knetsch; A K T Kirschner; T Dirnböck; G Kuschnig; R L Mach; R Sommer
Journal:  J Appl Microbiol       Date:  2010-07-09       Impact factor: 3.772

3.  Biotin- and Glycoprotein-Coated Microspheres as Surrogates for Studying Filtration Removal of Cryptosporidium parvum in a Granular Limestone Aquifer Medium.

Authors:  M E Stevenson; A P Blaschke; S Toze; J P S Sidhu; W Ahmed; I H van Driezum; R Sommer; A K T Kirschner; S Cervero-Aragó; A H Farnleitner; L Pang
Journal:  Appl Environ Microbiol       Date:  2015-04-17       Impact factor: 4.792

4.  The spectral absorption coefficient at 254 nm as a real-time early warning proxy for detecting faecal pollution events at alpine karst water resources.

Authors:  H Stadler; E Klock; P Skritek; R L Mach; W Zerobin; A H Farnleitner
Journal:  Water Sci Technol       Date:  2010       Impact factor: 1.915

5.  QMRAcatch: Microbial Quality Simulation of Water Resources including Infection Risk Assessment.

Authors:  Jack Schijven; Julia Derx; Ana Maria de Roda Husman; Alfred Paul Blaschke; Andreas H Farnleitner
Journal:  J Environ Qual       Date:  2015-09       Impact factor: 2.751

6.  Automated Sampling Procedures Supported by High Persistence of Bacterial Fecal Indicators and Bacteroidetes Genetic Microbial Source Tracking Markers in Municipal Wastewater during Short-Term Storage at 5°C.

Authors:  R E Mayer; J Vierheilig; L Egle; G H Reischer; E Saracevic; R L Mach; A K T Kirschner; M Zessner; R Sommer; A H Farnleitner
Journal:  Appl Environ Microbiol       Date:  2015-05-22       Impact factor: 4.792

7.  Hypothesis-driven approach for the identification of fecal pollution sources in water resources.

Authors:  G H Reischer; D Kollanur; J Vierheilig; C Wehrspaun; R L Mach; R Sommer; H Stadler; A H Farnleitner
Journal:  Environ Sci Technol       Date:  2011-04-05       Impact factor: 9.028

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

Authors:  Michael D Besmer; Jannis Epting; Rebecca M Page; Jürg A Sigrist; Peter Huggenberger; Frederik Hammes
Journal:  Sci Rep       Date:  2016-12-07       Impact factor: 4.379

9.  The feasibility of automated online flow cytometry for in-situ monitoring of microbial dynamics in aquatic ecosystems.

Authors:  Michael D Besmer; David G Weissbrodt; Bradley E Kratochvil; Jürg A Sigrist; Mathias S Weyland; Frederik Hammes
Journal:  Front Microbiol       Date:  2014-06-02       Impact factor: 5.640

10.  Evaluating Monitoring Strategies to Detect Precipitation-Induced Microbial Contamination Events in Karstic Springs Used for Drinking Water.

Authors:  Michael D Besmer; Frederik Hammes; Jürg A Sigrist; Christoph Ort
Journal:  Front Microbiol       Date:  2017-11-22       Impact factor: 5.640

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