Large-scale determination of micropollutant elimination from municipal wastewater by passive sampling gives new insights in governing parameters and degradation patterns. (1st September 2019)

• Record Type: Journal Article
• Authors: Gallé, T.; Koehler, C.; Plattes, M.; Pittois, D.; Bayerle, M.; Carafa, R.; Christen, A.; Hansen, J.
• Is Part Of: Water research. Volume 160(2019)
• Page Start: 380
• Page End: 393
• Publication Date: 2019-09-01
• Subjects: POCIS -- Micropollutants -- SRT -- HRT -- Respirometry -- Metabolic pathways; Water -- Pollution -- Research -- Periodicals; 363.7394
• DOI: 10.1016/j.watres.2019.05.009
• Languages: English
• ISSNs: 0043-1354

Abstract

Abstract: A simple balancing method using passive samplers over a week's period has been developed and tested successfully to determine elimination rates of 22 common micropollutants of household and industrial sources in 18 full-scale wastewater treatment plants of different design and performance. Independent reactor tests to delineate elimination rates with native sludge of the treatment plants correlated very well with the full-scale elimination rate determinations. As opposed to common assumptions, this large dataset indicated that shorter sludge retention times – read: higher active biomass – showed higher micropollutant elimination rates in many cases. Multivariate statistical analysis of the elimination rates over the 18 treatment plants was able to group compounds according to common degradation pathways and showed that sensitivity to SRT drove the grouping. The dataset also allowed to determine population equivalent normalized loads of the investigated micropollutants. The application of WWTP balancing with passive sampling makes it relatively easy to gather elimination rates and inlet loads on a much broader basis than before and gives orientation for more in-depth analysis of degradation pathways. Graphical abstract: Image 1 Highlights: There is a need for accurate micropollutant elimination data at plant scale. Passive sampling provides elimination rates based on a conservative tracer correction. Elimination rates allowed clustering compounds into groups with consistent degradation schemes. The statistical grouping was driven by negative correlations with sludge retention times.