variation in removal efficiency of micropollutants in on
play

Variation in removal efficiency of micropollutants in on-site - PowerPoint PPT Presentation

Variation in removal efficiency of micropollutants in on-site sewage facilities studied using target and non-target analysis Patrik L. Andersson, Kristin Blum, Jerker Fick, Peter Haglund UMU Pablo Gago-Ferrero, Lutz Ahrens, Meritxell Gros,


  1. Variation in removal efficiency of micropollutants in on-site sewage facilities studied using target and non-target analysis Patrik L. Andersson, Kristin Blum, Jerker Fick, Peter Haglund UMU Pablo Gago-Ferrero, Lutz Ahrens, Meritxell Gros, Karin Wiberg SLU Berndt Björlenius, Gunno Renman, Wen Zhang KTH

  2. Poster: Pablo Gago-Ferrero et al SITE 1 1400 Björklinge Björklinge before 1200 WWTP WWTP SITE 2 1000 OSSF site-1 Downstream Björklinge 800 Small-scale WWTP 600 400 200 0 SITE 3 S1 S2 S3 S4 S5 S6 S7 Husby River OSSF site-2 Fyrisån Kungsängsverket Large-scale WWTP SITE 5 Uppsala Downstream Large-scale WWTP Sävjaån SITE 6 SITE 4 After Sävjaån Sävjaån OSSF site 3 SITE 7 Lake Ekoln

  3. Sampling strategy: Stage I Soil bed system o Several OSSFs monitored in Stockholm and Umeå area (Sweden) o OSSFs main treatments: - Soil beds - Mini or package STPs - Greywaters Package STPs o OSSFs individual samples with similar treatments were pooled o Influent and effluent samples o Medium and large STPs also monitored.

  4. Sampling strategy: Stage II

  5. Analytical strategy: GC*GC-MS Stage I Stage II Sampling I Method development for target analytes GCxGC-MS based non-target screening Sampling II Compound prioritization Removal pattern analysis Target analyte selection Environmental load

  6. Analytical strategy: LC-MS Extrac'on by SPE (Oasis HLB, ENV + ) TARGET ANALYSIS SUSPECT SCREENING LC-MS/MS (QqQ) LC-HRMS analysis Compound database Validated methods ~ 1300 compounds in database (pes(cides, PhACs, PCPs, EDCs, 26 perfluoroalkyl substances (PFASs) FRs, AS) 110 pes'cides List of candidate substances Confirma(on and quan(fica(on with reference standards (MS/MS, RT)

  7. Identification of priority pollutants PBT Source and OSSF Use

  8. 1. Filtering - Data Processing in - Detection frequency ChromaToF ~300 Tentatively identified ~200 000 - Blanks - NIST Library search compounds - Manual - Peak alignment 1) investigation 2. Filtering - t 1/2 , BCF, PEC/PNEC 2) - Reprocessing ~60 Environmental - Hazard concern 2) + relevant compounds - Semi-quantification HPVC/LPVC/EINECS FISCHER 3) Ranking Selection of target Based on scores in analytes PBT, conc and RE criteria

  9. Selected priority pollutants • In total 30 organic micropollutants – 9 pharmaceuticals (including caffeine) – 6 polymer/rubber additives including UV, flame retardants, plastizisers – 4 pesticides – 3 PFAS – 3 personal care products – 2 detergents – 2 food additives – 1 surfactant

  10. Examples of priority pollutants • PFOS • OPs • Galaxolide • Hexachlorbenzene • DEET • Probylparaben • Caffeine • Ibuprofen • Carbamazepine • Sucralose

  11. Fate of polar chemicals in OSSFs (Meri Gros et al)

  12. Fate of polar chemicals in OSSFs (Meri Gros et al)

  13. Pattern analysis

  14. Removal efficiency of apolar chemicals * 2,4,7,9-Tetramethyl- 5-decyn-4,7-diol * Tris(2-butoxyethyl) phosphate

  15. Removal efficiency vs Kow

  16. Summary • A set of priority chemicals identified for studies on fate in OSSFs • No major differences in levels between OSSFs and large STPs • No major differences in removal efficiencies between OSSFs and large STPs • Larger variation in removal for STPs • Better removal of hydrophobic chemicals • Removal of PFASs and PFRs was higher in package treatment facilities while removal of PPCPs was more efficient in soil beds

Recommend


More recommend