Evaluation of β-d-glucuronidase and particle-size distribution for microbiological water quality monitoring in Northern Vietnam

Tracking the contribution of multiple raw and treated wastewater discharges at an urban drinking water supply using near real-time monitoring of β-d-glucuronidase activity

“…They are routinely used by water utilities for real-time monitoring of source water quality and water treatment processes. Recent studies though have reported the absence or weak association between these parameters and GLUC activity (Stadler et al, 2016;Ender et al, 2017;Ryzinska-Paier et al, 2014;Stadler et al, 2010). Our results show that the relationship a Time before peak GLUC activity.…”

“…In recent years, online technologies capable of measuring microbial parameters at high frequency (<hourly) have been developed and successfully implemented in various field settings, from source to the tap (IWA, 2018). These technologies include flow cytometry (Besmer et al, 2014;Page et al, 2017), enzymatic activity (Ender et al, 2017;Ryzinska-Paier et al, 2014;Stadler et al, 2016;Tryland et al, 2015) as well as optical and humic acid-like fluorescence (Højris et al, 2016;Sorensen et al, 2015). Enzyme-based assays specifically quantify the occurrence of fecal indicator bacteria (FIB) such as E. coli by targeting metabolic enzymes already in use in conventional culture-based assays for these bacteria.…”

“…In the case of E. coli, the activity of b-D-glucuronidase (GLUC) enzyme is predominantly correlated to the occurrence of E. coli in water (Farnleitner et al, 2001;Fiksdal et al, 1994;Garcia-Armisen et al, 2005) although cross-reactions with other (fecal) bacteria exist (Fiksdal and Tryland, 2008). Recent studies have demonstrated that online GLUC activity monitoring provided an unprecedented wealth of information on the temporal dynamics of microbial water quality in various habitats and that GLUC activity could represent a valuable early warning tool for fecal pollution of water resources (Burnet et al, 2019;Ender et al, 2017;Ryzinska-Paier et al, 2014;Stadler et al, 2016, Stadler et al, 2019a. Also, Stadler et al (2019b) demonstrated how automated GLUC activity monitoring contributed to understanding the sources and pathways of fecal pollution in an agricultural headwater catchment.…”

To what extent does hydrological connectivity control dynamics of faecal indicator organisms in streams? Initial hypothesis testing using a tracer-aided model

“…Hathaway et al, 2014;Oliver et al, 2015). In addition, there are also emerging technologies that can monitor beta-D-glucuronidase enzymatic activity in streams in near real-time, which may have potential to provide high temporal-resolution data relating to microbial contamination that can complement more traditional means of FIO enumeration (Stadler et al, 2016;Ender et al, 2017). Exploiting these advances in the collection of higher frequency data is likely to be instrumental in permitting a more thorough evaluation of hypothesised linkages between hydrological connectivity and FIO dynamics (de Brauwere et al, 2014;Oliver et al, 2016).…”

Innovative Technologien zur Wasserförderung und ‐verteilung in Gebirgsregionen

“…Diese Region ist gekennzeichnet durch Karstkegelformationen mit steilen Hängen, tiefen Tälern und Gebirgshöhen bis 2 000 m +NN sowie durch subtropisches Klima mit ausgeprägten Regen‐ (Mai–Oktober) und Trockenzeiten (November–April). Neben den topografischen und klimatischen Gegebenheiten führen auch die hydrogeologischen Bedingungen dazu, dass die Bewohner unter teils erheblichem Wassermangel leiden . Denn etwa die Hälfte der Provinz besteht aus Kalkgestein, welches aufgrund seiner hohen Porosität zu einer Verlagerung des Abflussgeschehens in unterirdische Höhlensysteme führt (Bild ).…”