Towards spatially smart abatement of human pharmaceuticals in surface waters: Defining impact of sewage treatment plants on susceptible functions
For human pharmaceuticals, sewage treatment plants (STPs) are a major point of entry to surface waters. The receiving waters provide vital functions. Modeling the impact of STPs on susceptible functions of the surface water system allows for a spatially smart implementation of abatement options at,...
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Published in: | Water research (Oxford) Vol. 81; pp. 356 - 365 |
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Main Authors: | , , , , |
Format: | Journal Article |
Language: | English |
Published: |
England
Elsevier Ltd
15-09-2015
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Subjects: | |
Online Access: | Get full text |
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Summary: | For human pharmaceuticals, sewage treatment plants (STPs) are a major point of entry to surface waters. The receiving waters provide vital functions. Modeling the impact of STPs on susceptible functions of the surface water system allows for a spatially smart implementation of abatement options at, or in the service area of, STPs.
This study was performed on a nation-wide scale for the Netherlands. Point source emissions included were 345 Dutch STPs and nine rivers from neighboring countries. The Dutch surface waters were represented by 2511 surface water units. Modeling was performed for two extreme discharge conditions. Monitoring data of 7 locations along the rivers Rhine and Meuse fall mostly within the range of modeled concentrations. Half of the abstracted volumes of raw water for drinking water production, and a quarter of the Natura 2000 areas (European Union nature protection areas) hosted by the surface waters, are influenced by STPs at low discharge. The vast majority of the total impact of all Dutch STPs during both discharge conditions can be attributed to only 19% of the STPs with regard to the drinking water function, and to 39% of the STPs with regard to the Natura 2000 function.
Attributing water treatment technologies to STPs as one of the possible measures to improve water quality and protect susceptible functions can be done in a spatially smart and cost-effective way, using consumption-based detailed hydrological and water quality modeling.
•Consumption-based hydrological modeling gives spatial insight in high-impact STPs.•Concentrations of carbamazepine and ibuprofen are modeled for extreme discharges.•Measured concentrations fall mostly in the range of predicted concentrations.•A minority of STPs has major impact on Natura 2000 areas and drinking water sources.•Impacted by STPs are ½ of the raw water volumes and ¼ of the Natura 2000 areas.
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0043-1354 1879-2448 |
DOI: | 10.1016/j.watres.2015.05.061 |