Assessment of microbiological water quality in the Austrian section of the River Danube

Kavka, Gerhard G.; Berger, B. B.; Hoch, B. M.; Herndl, Gerhard J.

doi:10.1127/lr/10/1996/79

Cited by 8 publications

(7 citation statements)

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“…In comparison to extracellular enzyme activities, too, which have so far been published for the Elbe and Saale [26] as well as other rivers [14,[18][19][20][21][22][23][24][25][26][27][28][29][30][31]45], the Elbe can be classified as having low extracellular activity level at the time of the investigation. Solely Kavka et al [29] found comparably low activity rates in the longitudinal profile of the Danube for the α-and β-D-glucosidase they investigated.…”

Section: Discussionmentioning

confidence: 99%

Extracellular Enzyme Activity in the River Elbe during a Spring Flood Event

Karrasch

Bormki

Herzsprung

et al. 2003

Acta hydrochim. hydrobiol.

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The ecological balance of rivers can be significantly disturbed by floods, increasing the supply of allochthonous material and energy to the fluvial planktonic food web. During spring flooding in the Elbe in 1999, various physicochemical (pH, conductivity, suspended particulate matter (SPM), particulate and dissolved organic carbon (DOC, POC), inorganic nutrients) and biological parameters (concentration of chlorophyll-a, abundance and biomass of bacteria) were studied in connection with the microbial self-cleaning capacity (dissolved and particle-associated extracellular enzyme activity of ten different enzymes). The pattern of dissolved and particulate material was found to differ greatly (regarding dilution and allochthonous input dynamics), with biological parameters displaying partly differing patterns owing to their bioactivity. Hydrolytic activity was detected for all the enzyme categories investigated, with especially high breakdown rates being determined for proteins containing leucine, arginine, and tyrosine. The overall activities of all the microbial extracellular enzymes studied proved to be dominated by the ectoenzymes ((62.8 ± 13.6) %) associated with particulate (particles, aggregates, and bacterial cell walls). The resulting ecological implications for microbial self-cleaning processes in rivers are discussed. Extrazelluläre Enzymaktivität in der Elbe während eines FrühjahrshochwassersDas ökologische Gleichgewicht in Flüssen kann durch Hochwasserereignisse, die zu einer erhöhten Zuführung von allochthonem Material und Energie zum planktonischen Nahrungsnetz führen, deutlich gestört werden. Im Verlauf eines Hochwassers in der Elbe im Frühjahr 1999 wurden verschiedene physikochemische (pH-Wert, Leitfähigkeit, Schwebstoffe (SPM), partikulärer und gelöster organisch gebundener Kohlenstoff (DOC, POC), anorganische Nährstoffe) und biologische Parameter (Chlorophyll-a-Konzentration, Abundanz und Biomasse von Bakterien) im Hinblick auf das Verhalten der mikrobiellen Selbstreinigungskraft (frei gelöste und mit Partikeln assoziierte extrazelluläre Enzymaktivität von 10 unterschiedlichen extrazellulären Enzymen) untersucht. Gelöste und partikuläre Stoffe zeigten ein voneinander deutlich unterschiedliches Verhalten (Verdünnungs-bzw. allochthone Eintragsdynamik), wobei biologische Parameter bedingt durch ihre Bioaktivität partiell abweichende Muster aufwiesen. Für alle untersuchten Enzymkategorien konnte eine hydrolytische Aktivität nachgewiesen werden, wobei für leucin-, arginin-und tyrosinhaltige Proteine besonders hohe Abbauraten bestimmt wurden. Die Gesamtaktivitäten aller untersuchten mikrobiellen extrazellulären Enzyme wurden von den mit partikulärem Material (Partikel, Aggregate, Bakterienzellaußenwände) assoziierten Ektoenzymen ((62.8 ± 13.6) %) dominiert. Die sich hieraus ergebenden ökologischen Implikationen bezüglich mikrobieller Selbstreinigungsprozesse in Flüssen werden diskutiert.

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Section: Discussionmentioning

confidence: 99%

Extracellular Enzyme Activity in the River Elbe during a Spring Flood Event

Karrasch

Bormki

Herzsprung

et al. 2003

Acta hydrochim. hydrobiol.

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“…The counts of Escherichia coli and intestinal enterococci were used to determine microbial contamination in the water body. Surface water quality was categorized according to different pollution levels based on the TCB [42,43], as follows: TCB (most probable number/100 mL) ≤ 500, little pollution; TCB > 500-10,000, moderate pollution; TCB > 10,000-100,000, critical pollution; TCB > 100,000-1,000,000, strong pollution; and TCB > 1,000,000, excessive pollution.…”

Section: Microbial Pollution Indicator and River Pollution Indexmentioning

confidence: 99%

Longitudinal Chemical Gradients and the Functional Responses of Nutrients, Organic Matter, and Other Parameters to the Land Use Pattern and Monsoon Intensity

Mamun¹,

Kim²,

Kim³

et al. 2022

Water

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River water quality degradation is one of the hottest environmental issues worldwide. Therefore, monitoring water quality longitudinally and temporally is crucial for effective water management and contamination control. The main aim of this study was to assess the longitudinal variations in water quality in the mainstream of the Han River, Korea, from 2015 to 2019. The trophic state classification (TSC), microbial pollution indicator (MPI), and river pollution index (RPI) were calculated to characterize river water quality and revealed more serious pollution toward the downstream zone (Dz) due to agricultural and urban-dominated areas. The biodegradability index (BI) indicated that non-biodegradable organic pollutants are increasing in the water body from the urban and animal wastewater treatment plants. Nutrients, organic matter contents, total suspended solids, ionic factors, and algal chlorophyll were higher in the Dz than in any other zones and were markedly influenced by the summer monsoon. Empirical analysis showed that nutrients and organic matter had positive linear functional relations with agricultural and urban coverage and negative linear relations with forest coverage. The pollutant-transport function suggested that suspended solids act as TP and TN carriers. Regression analysis indicated that TP (R2 = 0.47) has more positive functional relations with algal growth than TN (R2 = 0.22). Our findings suggest that a combination of empirical models and pollution indices might be utilized to assess river water quality and that the resulting information could aid policymakers in managing the Han River.

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“…Changes in the bacterial population's abundance can be used to identify surface water microbial contamination (Kavka, G.G. et al, 2006).…”

Section: Bacterial Quality In River Water Samplesmentioning

confidence: 99%

Carcinogenic and non-carcinogenic health risk assessment of river Ganges in different climatic conditions and regions of Uttarakhand, India

Kumar

Kothari

Mandal

et al. 2023

Preprint

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Biochemical Oxygen Demand (BOD) and Chemical Oxygen Demand (COD), the two most significant physicochemical indicators, we find higher in water samples from plain regions than from hilly regions. Mean levels of As, Pb, Hg, Cd, Cr, Zn, and Ni were 5.48, 1.060, 4.4, 0.728, 3.5, 2.93, 26.56, and 7.68 (µg/L), respectively, in water samples, was within normal ranges, except Arsenic, which was found in higher at shukartal site > 10 µg/L. A marked correlation was observed between the physicochemical quality of water and bacterial density. The presence of specific bacterial strains, e.g. Enterococcus, Pseudomonas, Klebsiella, and Proteus spps., in higher concentrations suggests a significant level of faecal contamination in water. The Most Probable Number, Escherichia coli count, total coliform count, faecal streptococci count and faecal coliform count were discovered in the regions of Rishikesh, Roorkee, and Shukartaal, indicating that the total bacterial count was higher than the permitted range (GR1, GRR, and GS). The spatial distribution of the Hazardous index (H.I.) in the study area revealed a rising trend of environmental leaching from mountainous parts to plain regions. Children were at a higher carcinogenic risk compared to adults both males and females. The study recommends prevention and safeguarding against anthropometric variables.

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Assessment of microbiological water quality in the Austrian section of the River Danube

Cited by 8 publications

References 0 publications

Extracellular Enzyme Activity in the River Elbe during a Spring Flood Event

Extracellular Enzyme Activity in the River Elbe during a Spring Flood Event

Longitudinal Chemical Gradients and the Functional Responses of Nutrients, Organic Matter, and Other Parameters to the Land Use Pattern and Monsoon Intensity

Carcinogenic and non-carcinogenic health risk assessment of river Ganges in different climatic conditions and regions of Uttarakhand, India

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