Effect of WWTP size on grey water footprint—Czech Republic case study

Ansorge, Libor; Stejskalová, Lada; Dlabal, Jiří

doi:10.1088/1748-9326/aba6ae

Cited by 14 publications

(8 citation statements)

References 56 publications

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“…The highest value of the GWF has ammonium nitrogen. Another study assessing all major wastewater treatment plants in the Czech Republic also showed that ammonium nitrogen is a parameter that usually has the highest value of GWF (Ansorge, Stejskalová, and Dlabal 2020b). Nevertheless, the parameter of ammonium nitrogen (in accordance with Czech regulations) is not included in discharge permits.…”

Section: Discussionmentioning

confidence: 99%

Grey water footprint as a tool for wastewater treatment plant assessment– Hostivice case study

Stejskalová

Ansorge

Kučera

et al. 2021

Urban Water Journal

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The study evaluates the wastewater treatment plant reconstruction via the Grey Water Footprint methodology. The application was tested on a medium-size wastewater treatment plant discharging water into a small watercourse. The 6-year monitoring was assessed. The assessment included a period before and after the reconstruction when a capacity was increased and the treatment technology had been equipped with a membrane sludge separation. Ammonium nitrogen is causing the Grey Water Footprint the most often; both, before and after the reconstruction. The assessment has shown that the current setting of legal discharge limits may not cover all environmental risks even if the wastewater treatment plant meets all requirements. For environmental sustainability, it is necessary if the recipient watercourse was at least 1.4 times more watery for assimilation of total nitrogen pollution, and 3.9 times more watery for assimilation of total phosphorus pollution.

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Section: Discussionmentioning

confidence: 99%

Grey water footprint as a tool for wastewater treatment plant assessment– Hostivice case study

Stejskalová

Ansorge

Kučera

et al. 2021

Urban Water Journal

Self Cite

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“…It makes the trend of the industrial and domestic grey water footprint in Yantai converge with the changing trend of pollutant emission. Therefore, controlling the discharge of pollutants, strengthening the management of sewage treatment plants, and improving wastewater treatment capacity is particularly important for reducing the grey water footprint [51,52].…”

Section: Grey Water Footprintmentioning

confidence: 99%

Quantification and Evaluation of Grey Water Footprint in Yantai

Xue

Lü

et al. 2022

Water

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Problems such as water scarcity and pollution frequently occur in coastal zones. This study investigated the grey water footprint and the sustainability and intensity of grey water footprint in Yantai between 2014 and 2019 by taking both surface water and groundwater into consideration. The research results indicated that the Yantai grey water footprint firstly increased and then decreased between 2014 and 2019. The lowest grey water footprint in 2019 was 744 million m3. The agricultural grey water footprint accounted for a large proportion of the total grey water footprint. Although the sustainability of grey water footprint fluctuates in Yantai, it maintains well. The Yantai grey footprint intensity gradually decreased to <10 m3/10,000 CNY. The economic benefit of grey water footprint and utilization efficiency of water resources have been improved yearly. The quality of the water environment in Yantai has also been improved. The research of this paper provides some useful information for water resources protection and sustainable utilization in coastal cities.

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“…We focused on the two key pollutants discharged from WWTPs, total phosphorous (P) and ammonium-nitrogen (NH4N), whose values are established proxies for ecological risks in receiving river bodies (Ansorge et al, 2020). However, the approach can be applied to any other pollutants of known per capita loadings discharged from WWTPs.…”

Section: Local-scale Mixing Concentrations Of Pollutants In Receiving...mentioning

confidence: 99%

What Determines the Future Ecological Risks of Wastewater Discharges in River Networks: Load, Location or Climate Change?

Yang¹,

Büttner²,

Kumar³

et al. 2022

Preprint

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Over the last decades, treatment of domestic wastewater promoted by environmental regulations have reduced human health risks and improved water quality. However, ecological risks caused by effluents of wastewater treatment plants (WWTPs) discharged into rivers still persist. Moreover, the evolution of these ecological risks in the future is intimately related to effects of changing climate, especially regarding streamflow in receiving rivers. Here, we present a systematic and transferable framework for assessing the ecological risks posed by individual WWTP-effluents at the catchment-scale. The framework combines the size-class k of WWTPs, which is a proxy for load, with the location of their outflows in river networks, represented by its stream-order ω. We identify ecological risks by using three proxy indicators: the urban discharge fraction and the local-scale concentrations of each total phosphorous and ammonium-nitrogen discharged from WWTPs. About 3,200 WWTPs over three large catchments (Rhine, Elbe, and Weser) in Central Europe were analyzed by incorporating simulated streamflow for the most extreme projected climate change scenario. We found that WWTPs causing ecological risks in future prevail in lower stream-orders, across almost all size-classes. Distinct patterns of ecological risks are identified in the k-ω framework for different indicators and catchments. We show that, as climate changes, intensified risks are especially expected in lower stream-orders receiving effluents of intermediate size WWTPs. We discuss implications of our findings for prioritizing WWTPs advancement and urging updates on environmental regulations. Further applications of the k-ω framework are discussed to help achieving global long-term commitments on freshwater security.

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Effect of WWTP size on grey water footprint—Czech Republic case study

Cited by 14 publications

References 56 publications

Grey water footprint as a tool for wastewater treatment plant assessment– Hostivice case study

Grey water footprint as a tool for wastewater treatment plant assessment– Hostivice case study

Quantification and Evaluation of Grey Water Footprint in Yantai

What Determines the Future Ecological Risks of Wastewater Discharges in River Networks: Load, Location or Climate Change?

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