Grey water footprint of pollution discharged from waste water treatment plants in the Czech Republic (2002-2018) – data set
Authors/Creators
- 1. Výzkumný ústav vodohospodářský T. G. Masaryka
Description
The data set contains grey water footprint values for discharges from wastewater treatment plants in the Czech Republic. The grey water footprint is a qualitative indicator converting the discharged pollution into the volume of water needed to dilute pollutants to such an extent that the quality of the ambient water remains above agreed water quality standards. Information on the grey water footprint of individual sources of pollution can be used by all stakeholders involved in water quality assessment, water footprint assessment, environmental impact assessment, sustainability of water resource use, etc. The data on wastewater treatment plants registered in the water balance pursuant to Order No 431/2001 Sb. for the period 2002 to 2018 have been analysed and the water footprint of pollution of influent to treatment plants and of effluent from treatment plants has been established.
Notes
Files
GWF_WWTPs_CR_2002-18_public.csv
Files
(30.6 MB)
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md5:489eafd936112bf19d7a2b8a56264d23
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Additional details
References
- Ansorge, L., Stejskalová, L., & Dlabal, J. (2020). Effect of WWTP size on grey water footprint—Czech Republic case study. Environmental Research Letters, 15(10), 104020. https://doi.org/10.1088/1748-9326/aba6ae
- Ansorge, L., Stejskalová, L., & Dlabal, J. (2020). Grey water footprint of point sources of pollution: The Czech Republic study. Journal of Urban and Environmental Engineering, 14(1), 144–149. https://doi.org/10.4090/juee.2020.v14n1.144149
- Ansorge, L., Stejskalová, L., Dlabal, J., & Čejka, E. (2020). Wpływ oczyszczalni ścieków na redukcję zanieczyszczeń odprowadzanych w czeskiej części dorzecza Odry [Effect of wastewater treatment plants to the reduction of pollution discharged in the Czech part of the Odra river]. Scientific Review Engineering and Environmental Sciences, 29(2), 123–135. https://doi.org/10.22630/PNIKS.2020.29.2.11