Decision support for water quality management of contaminants of emerging concern

Fischer, Astrid; Laak, Thomas L. ter; Bronders, Jan; Desmet, Nele; Christoffels, Ekkehard; Wezel, Annemarie P. van; Hoek, Jan Peter van der

doi:10.1016/j.jenvman.2017.02.002

Cited by 26 publications

(8 citation statements)

References 50 publications

(36 reference statements)

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“…Lake eutrophication is defined as the pollution of the water environment by industrial and domestic sewage, the polluted water body carries a large amount of nutrients needed by organisms [1]. Nutrients like nitrogen, phosphorous flow into the lake causing algae and other micro-organisms to multiply rapidly, as a result reducing the dissolved oxygen concentration in the water and finally causing water quality deterioration [2], which consequently lead to the decrease in biodiversity [3].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of lake eutrophication status based on set pair analysis and confidence intervals

Mulenga

2018

int.jour.sci.res.mana

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Because traditional assessing methods usually yield extreme results and are of poor resolution, a set pair analysis based on triangular fuzzy number is established. Set pair analysis method is an uncertainty analysis method of the system whose formula structure analysis of connection degree is established by the identity degree, discrepancy degree and contrary degree to deal with all kinds of uncertainty and fuzzy problems. The measured value and the lake quality criteria are two interrelated sets put together to compose a set pair with respect to the problem of determination of the magnitude of lake eutrophication. The basic expression of the degree of couplet is extended at different levels and at the same level to form a multi-element connection number, in order to set up a five-element connection number in relation to I-V grades evaluation standard commonly used in lake assessment. The discrepancy degree is expanded into partial identity in discrepancy, entirety discrepancy and partial contrary in discrepancy, this forms a multivariate connection number of identity, partial identity in discrepancy, entirety discrepancy, partial contrary in discrepancy and contrary. By introducing triangular fuzzy number the number of links to get the evaluation grade for a confidence interval was obtained, weight value calculated by weighted average method and finally got the evaluation grade as a confidence interval based on confidence level. The case study shows that the method presents the evaluating grade as a confidence interval which has advantages of high resolution and information utilization.

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Section: Introductionmentioning

confidence: 99%

Evaluation of lake eutrophication status based on set pair analysis and confidence intervals

Mulenga

2018

int.jour.sci.res.mana

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“…More advanced technologies are available for treatment of industrial effluents to remove specific chemicals, examples are electrochemical methods (Brillas and Martínez-Huitle, 2015;Niu et al, 2016), membranes (Caldwell et al, 2016;Kanakaraju et al, 2014) or electrocoagulation (Dasgupta et al, 2015;Khandegar and Saroha, 2013), TiO 2 photocatalytic methods, advanced oxidation processes. It depends on the chemicals to be removed and their physical-chemical properties, the industrial effluent matrix involved and the particular operational settings, which treatment technology or combination of treatment techniques gives the highest removal efficiencies (Fischer et al, 2017;Van Wezel et al, 2017). Besides treatment technologies, the BREF documents describe strategies for cleaner production to prevent pollution and reduce risks.…”

Section: Further Mitigation Of Emissions By Iwtpmentioning

confidence: 99%

Impact of industrial waste water treatment plants on Dutch surface waters and drinking water sources

Wezel

Hurk

Sjerps

et al. 2018

Science of The Total Environment

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“…These compounds are generally released into the aquatic environment by point sources, mainly of drugs excreted and/or directly disposed into the domestic sewage network, in leaking landfills and aquaculture areas, in addition to illegal and uncontrolled disposal of drugs (Behera et al, 2011;Archer et al, 2017;Sophia & Lima, 2018;Richardson & Kimura, 2020). The removal of these compounds from conventional wastewater treatment plants (WWTP) is often inefficient (Li et al, 2016;Fischer et al, 2017;Gogoi et al, 2018;Pesqueira et al, 2020) and a significant part of the non-degraded compounds tends to remain in the aqueous phase (Carballa et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Emergent contaminants in spring rivers and their relation to the benthic macroinvertebrates

Baudisch

Goulart

Antonelli

et al. 2022

RBRH

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To determine the presence of emergent contaminants in aquatic environments and to evaluate responses of the dominant taxa of benthic macrofauna, seven stations were sampled along three rivers that serve as public water suppliers in three sampling campaigns, in the Upper Iguassu Basin, Brazil. Concentrations of ethinylestradiol, fenofibrate, ibuprofen and triclosan were detected in the water and sediment. To correlate patterns of distribution and abundance benthic fauna with the various contaminants found a redundancy analysis (RDA) was applied and showed positive relationships between faunal groups, that indicate stress (such as Tubificinae), and emerging pollutants (such as ibuprofen and ethinylestradiol). The analysis also showed that the most influential variables in the distribution of the fauna were exclusively anthropogenic, which shows that these compounds can be harmful and that the rivers destined for the supply are receiving pollutant loads.

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Decision support for water quality management of contaminants of emerging concern

Cited by 26 publications

References 50 publications

Evaluation of lake eutrophication status based on set pair analysis and confidence intervals

Evaluation of lake eutrophication status based on set pair analysis and confidence intervals

Impact of industrial waste water treatment plants on Dutch surface waters and drinking water sources

Emergent contaminants in spring rivers and their relation to the benthic macroinvertebrates

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