Comparing ecotoxicological and physicochemical indicators of municipal wastewater effluent and river water quality in a Baltic Sea catchment in Poland

Szklarek, Sebastian; Kiedrzyńska, Edyta; Kiedrzyński, Marcin; Mankiewicz-Boczek, Joanna; Mitsch, William J.; Zalewski, Maciej

doi:10.1016/j.ecolind.2021.107611

Cited by 11 publications

(21 citation statements)

References 39 publications

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“…A wide variety of organisms were used for the evaluation of wastewater toxicity in the full-scale WWTPs (Table S1). Aquatic organisms belonging to bacteria, algae and crustaceans dominated in these tests [10][11][12][13][14][15][16][18][19][20][21][22][23][24][26][27][28]. Apart from those, protozoa [10,14,18,19], fish [12,21], snails [13], worms [13] and aquatic plants [22] were also employed in the assessment of wastewater toxicity.…”

Section: Organisms and Tests Used For Evaluation Of Wastewater Toxicitymentioning

confidence: 99%

“…The results of these tests (e.g., the effect concentration EC50 or the lethal concentration LC50) are often recalculated to toxic units (TU) in order to classify the potential toxicity of wastewater. In 2003, Persoone et al [17] introduced the classification of the water and wastewater toxicity that became the most commonly used system in the last two decades [12,[17][18][19][20][21]. This classification is the result of the international cooperation between the Flemish community in Belgium and the countries of Central and Eastern Europe [17].…”

Section: Introductionmentioning

confidence: 99%

“…The assessment of wastewater toxicity is still drawing the attention of scientists, who are continually publishing papers on this subject in the latest years of 2019-2021 [6,10,14,18,19], and practitioners, who need knowledge of the latest results and advances in this area. In order to check the last achievements of the potential impact of wastewater on biota regarding the species level, the papers published between 2011 and 2021 were analyzed and compared in this work.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Ecotoxicity of Wastewater from the Full-Scale Treatment Plants

Liwarska-Bizukojć

2022

Water

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In this work, the influence of wastewater from full-scale wastewater treatment plants (WWTPs) on living organisms and aquatic and soil biota were reviewed and presented. Moreover, the methods and model organisms used in testing the ecotoxicity of wastewater were shown. It was found that wastewater usually affected the biochemical activity and growth of organisms such as bacteria, algae and protozoa. They contributed to the immobilization and death of inter alia crustaceans and fishes. The values of degree of inhibition or lethality widely varied dependent on the type of wastewater, the sampling point (influent or effluent) and the model organisms applied in the biotests. Thus, a battery of ecotoxicity tests using model organisms of different sensitivities should be employed. So far, bacteria (e.g., Vibrio fischeri), green microalgae (e.g., Raphidocelis subcapitata) and crustaceans (Daphnia magna) have been frequently used organisms in the biological assessment of wastewater. They were applied in almost half (bacteria) or more than half (microalgae, crustaceans) of papers analyzed in this study. In almost all studies, the reduction of wastewater toxicity after treatment processes was found. It was proven that the conventional activated sludge systems were efficient in the removal of wastewater toxicity from both municipal and industrial wastewater, while the tertiary stage of treatment, in particular chlorination or ozonation, contributed to the increase in wastewater toxicity.

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Section: Organisms and Tests Used For Evaluation Of Wastewater Toxicitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evaluation of Ecotoxicity of Wastewater from the Full-Scale Treatment Plants

Liwarska-Bizukojć

2022

Water

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“…Many biological tests using different organisms as bioindicators have been effectively applied to examine the ecotoxicity of various organic contaminants [ 13 , 14 , 15 ]. Bioindicators allow for relevant information about the biological effects of pollutants on ecosystem structure and function to be obtained.…”

Section: Introductionmentioning

confidence: 99%

Ecotoxicological Estimation of 4-Cumylphenol, 4-t-Octylphenol, Nonylphenol, and Volatile Leachate Phenol Degradation by the Microscopic Fungus Umbelopsis isabellina Using a Battery of Biotests

Janicki

Długoński

Felczak

et al. 2022

IJERPH

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The phenolic xenobiotics nonylphenol (NP), 4-tert-octylphenol (4-t-OP), and 4-cumylphenol (4-CP) have the potential to seriously disrupt the endocrine system. Volatile phenols (VPs), especially those present in landfill leachate, also adversely affect the health of numerous organisms. Microbial degradation of xenobiotics can result in the formation of intermediates with higher toxicity than the precursor substrates. Therefore, the main aim of this study was to assess the changes in environmental ecotoxicity during the biotransformation of nonylphenol, 4-tert-octylphenol, 4-cumylphenol and volatile phenols by Umbelopsis isabellina using a battery of biotests. The application of bioindicators belonging to different taxonomic groups and diverse trophic levels (producers, consumers, and reducers) indicated a significant reduction in toxicity during the cultivation of fungus cultures both for nonylphenol, 4-tert-octylphenol, 4-cumylphenol and volatile phenols. The rate of toxicity decline was correlated with the degree of xenobiotic biotransformation. Removal of 4-cumylphenol and 4-tert-octylphenol also led to a decrease in the anti-androgenic potential. Moreover, this is the first report demonstrating the anti-androgenic properties of 4-cumylphenol. The results showed that U. isabellina is an attractive tool for the bioremediation and detoxification of contaminated environments.

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“…The concern with river water analysis is worldwide and can be highlighted in the most varied aspects, such as evaluation of fecal coliform (FC) concentration in river water in Kyrgyzstan, Central Asia [ 5 ]; development of a new ensemble machine-learning model for predicting monthly water quality at the Lam Tsuen River in Hong Kong [ 6 ]; application of soft computing to predict water quality in wetland [ 7 ]; exploitation of the water quality of the Surma River by applying hydrochemical and multivariate statistical methods and also with the help of Water Quality Index (WQI) analysis [ 8 ]; spatial and seasonal evaluation of the variations of surface water quality in the reservoir using multivariate statistical techniques along with the Trophic State Index and Trophic State Index deviation [ 9 ]; assessment of water quality in the polluted stretch using a cluster analysis during pre- and COVID-19 lockdown of the Tawi River Basin, Jammu, North India [ 10 ]; performance of an ecotoxicological evaluation of treated wastewater and river water in the catchment scale using a battery of biotests in Poland [ 11 ]; optimal operation of an Iranian surface water resources system in terms of quantity and quality simultaneously by using a Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) algorithm [ 12 ]; evaluation and classification of the surface water quality in Dong Thap province, Vietnam, using set-pair analysis and national WQI methods [ 13 ]; use of radical terraces for erosion control and water quality improvement in Rwanda [ 14 ]; detection of phthalates in drinking and river water samples [ 15 ]; evaluation of the suitability of an Arabian surface water [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment in Monitoring of Water Analysis of a Brazilian River

et al. 2022

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This study aimed to introduce non-parametric tests and guard bands to assess the compliance of some river water properties with Brazilian environmental regulations. Due to the heterogeneity of the measurands pH, Biochemical Oxygen Demand (BOD), manganese molar concentration, and Escherichia coli, which could be wrongly treated as outliers, as well as the non-Gaussian data, robust methods were used to calculate the measurement uncertainty. Next, based on guard bands, the compliance assessment was evaluated using this previous uncertainty information. For these four measurands, partial overlaps between their uncertainties and the specification limit could generate doubts about compliance. The non-parametric approach for calculating the uncertainty connected to the guard bands concept classified pH and BOD as “conform”, with a risk to the consumer of up to 4.0% and 4.9%, respectively; in contrast, manganese molar concentration and Escherichia coli were “not conform”, with a risk to the consumer of up to 25% and 7.4%, respectively. The methodology proposed was satisfactory because it considered the natural heterogeneity of data with non-Gaussian behavior instead of wrongly excluding outliers. In an unprecedented way, two connected statistical approaches shed light on the measurement uncertainty in compliance assessment of water analysis.

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Comparing ecotoxicological and physicochemical indicators of municipal wastewater effluent and river water quality in a Baltic Sea catchment in Poland

Cited by 11 publications

References 39 publications

Evaluation of Ecotoxicity of Wastewater from the Full-Scale Treatment Plants

Evaluation of Ecotoxicity of Wastewater from the Full-Scale Treatment Plants

Ecotoxicological Estimation of 4-Cumylphenol, 4-t-Octylphenol, Nonylphenol, and Volatile Leachate Phenol Degradation by the Microscopic Fungus Umbelopsis isabellina Using a Battery of Biotests

Risk Assessment in Monitoring of Water Analysis of a Brazilian River

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