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

Author:

Stadler H.1,Skritek P.2,Sommer R.3,Mach R. L.4,Zerobin W.5,Farnleitner A. H.4

Affiliation:

1. Institute of Water Resources Management, Joanneum Research, Elisabethstrasse 16/II, A-8010, Graz, Austria

2. "Technikum Wien" Telecommunication Department, University of Applied Sciences, Hoechstaedtplatz 5, A-1200, Vienna, Austria

3. Medical University of Vienna, Clinical Institute of Hygiene and Medical Microbiology, Water Hygiene, A-1095, Vienna, Austria

4. Department of Applied Biochemistry and Gene Technology, Vienna University of Technology, Institute of Chemical Engineering, Getreidemarkt 9-166, A-1060, Vienna, Austria

5. Vienna Waterworks, Grabnergasse 4-6, A-1060, Vienna, Austria

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.

Publisher

IWA Publishing

Subject

Water Science and Technology,Environmental Engineering

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3