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IMPACT OF WASTE WATER TREATMENTS ON
REMOVAL OF NOROVIRUSES FROM SEWAGE


17 May 2011




                                      © WRc plc 2011
Impact of wastewater treatments on
removal of noroviruses from sewage


  defra project reference WT0924
  Elaine Connolly, project manager, defra
  Roderick Palfrey, WRc plc, Swindon,
  Wiltshire (rod.palfrey@wrcplc.co.uk)
  Project period October 2010   May 2011
Background to the research


 Increasing industry and food safety
concerns about norovirus
Little known about norovirus in the
natural environment
Initial research to look into the scale of
the problem
Objectives

   Measurement of Norovirus gene template in
   crude, storm and treated sewages

   Determine significance of treated effluents on
   total load discharged

   Determine reductions in Norovirus by
   different treatment process trains

   Investigate correlations between removal of
   faecal indicators, in particular coliphage, and
   attenuation of Norovirus by treatment
   processes                                   © WRc plc 2011
Sampling from sew age treatment




           Storm tanks




Crude /                                       Secondary   Final / tertiary
                         Primary effluent /
influent                                       effluent      effluent
                          storm sewage
sample                                         sample        sample
                         surrogate sample

                                                                  © WRc plc 2010
Sampling



   5 works (3 coastal)
     Advanced activated sludge
     High rate activated sludge
     Biological (percolating) filter
     Chemically aided settlement (CAS) + biological
     aerated flooded filter (BAFF)
     Membrane bio-reactor


   70 samples between November 2010 and
   February 2011


                                                      © WRc plc 2011
Sample locations and
numbers (1)

       6                 4                  6
                                                     3
Influent
               Primary
                         Advanced
                                            Filter       Effluent
                         activated sludge


           4             2                  4
                                                     4
Influent
                         High rate              UV
                         activated sludge
                                                           © WRc plc 2010
Sample locations and
numbers (2)
    5                      3

                                                        5
             Primary       Biological filter

     5                 2               5
                                                    5

              CAS Biological aerated           UV
                  flooded filter (BAFF)
         4                                          4


                Membrane bio-reactor                        © WRc plc 2010
Measurements



   Norovirus
     RNA genome using threshold cycle count
     VeroMara at Scottish Marine Institute, Dunstaffnage

   Faecal indicators
     E.coli, total coliforms
     F+ & somatic coliphage
     Samples to NLS (National Lab Service)

   Works operation indicators
     BOD, suspended solids


                                                   © WRc plc 2011
Hypotheses and principles


   Primary settlement can model storm tank
   performance
   Norovirus behaves as bacteriophage (F+ and
   somatic) in terms of physical removal
   Norovirus activity cannot be measured
   Membrane bioreactor (MBR) treatment likely
   to significantly reduce concentrations of
   norovirus
   UV treatment is not expected to affect
   norovirus measurement
                                             © WRc plc 2011
Range of norovirus
concentrations


                       Influent sewage    Secondary         Final effluent
                                           effluent
  ASP     advanced       6.4   6545        ND   2170             ND
  ASP     high rate       ND    341        ND    431          ND    354
  Percolating filter     ND    3818        ND    382
  Biological
  aerated filter,         ND    340        ND    407          ND    384
  BAF
  Membrane
                          4    2147        ND    708
  bioreactor
  Measurements all as genome copies / ml; ND = not detected in 10 mls;
  sensitivity




                                                                         © WRc plc 2011
Norovirus concentrations




                           © WRc plc 2010
F+ phage concentrations




                          © WRc plc 2010
E.coli concentrations




                        © WRc plc 2010
Removal rates across works




                             © WRc plc 2010
Norovirus compared to F+
phage removal

                                     Log10 removal

                              Norovirus GII     F+ phage
  Activated sludge nutrient
  removal (ASP_adv)               3.64             3.12
  Activated sludge high
  rate (ASP_hr)                   2.76             2.65
  Percolating Filter              1.56             0.52
  Biological aerated filter       1.74             2.17
  Membrane bioreactor             1.84             3.12

  All from geometric mean differences, between primary and
  final effluent


                                                             © WRc plc 2010
Removal of indicators by
individual stages




                           © WRc plc 2010
Correlation between faecal
indicators




                             © WRc plc 2010
Correlation between F+ and
norovirus




                             © WRc plc 2010
Initial findings

    Sewage treatment reduces Norovirus load
      Treatment process types may significantly affect
      removal of norovirus
         Activated sludge processes and Membrane
         Bioreactors most effective
         Filter processes may have differential effects between
         bacterial and viral indicators


      Norovirus analysis is complex individual values in
      this study were inconsistent with related samples

      Some indication that F+ phage could be a surrogate
      for treatment effectiveness


                                                          © WRc plc 2011
Final thoughts     ..



   Replace percolating filters with activated
   sludge plants or membrane bioreactors?

   Build new works to accept all sewer flows?

   Costs for new works (10 million population)
     Energy costs increase 5 10 fold
     New build £1 3 billion
     Operating costs increase
     Greenhouse gas emissions double


                                                © WRc plc 2011
Thank-you



   WRc Project team: Matthew Hoblyn, Mark
   Harman, Tony Dee, Rob Moore

   Defra project manager: Elaine Connolly

    With thanks to the staff and management of
   the host sampling sites

   And to the project management group


                                            © WRc plc 2011
Next Steps




  Final report and recommendations to be
  prepared
  Discussion of finding with stakeholders
  Follow up research
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Connolly & Palfrey (2011)

  • 1. IMPACT OF WASTE WATER TREATMENTS ON REMOVAL OF NOROVIRUSES FROM SEWAGE 17 May 2011 © WRc plc 2011
  • 2. Impact of wastewater treatments on removal of noroviruses from sewage defra project reference WT0924 Elaine Connolly, project manager, defra Roderick Palfrey, WRc plc, Swindon, Wiltshire (rod.palfrey@wrcplc.co.uk) Project period October 2010 May 2011
  • 3. Background to the research Increasing industry and food safety concerns about norovirus Little known about norovirus in the natural environment Initial research to look into the scale of the problem
  • 4. Objectives Measurement of Norovirus gene template in crude, storm and treated sewages Determine significance of treated effluents on total load discharged Determine reductions in Norovirus by different treatment process trains Investigate correlations between removal of faecal indicators, in particular coliphage, and attenuation of Norovirus by treatment processes © WRc plc 2011
  • 5. Sampling from sew age treatment Storm tanks Crude / Secondary Final / tertiary Primary effluent / influent effluent effluent storm sewage sample sample sample surrogate sample © WRc plc 2010
  • 6. Sampling 5 works (3 coastal) Advanced activated sludge High rate activated sludge Biological (percolating) filter Chemically aided settlement (CAS) + biological aerated flooded filter (BAFF) Membrane bio-reactor 70 samples between November 2010 and February 2011 © WRc plc 2011
  • 7. Sample locations and numbers (1) 6 4 6 3 Influent Primary Advanced Filter Effluent activated sludge 4 2 4 4 Influent High rate UV activated sludge © WRc plc 2010
  • 8. Sample locations and numbers (2) 5 3 5 Primary Biological filter 5 2 5 5 CAS Biological aerated UV flooded filter (BAFF) 4 4 Membrane bio-reactor © WRc plc 2010
  • 9. Measurements Norovirus RNA genome using threshold cycle count VeroMara at Scottish Marine Institute, Dunstaffnage Faecal indicators E.coli, total coliforms F+ & somatic coliphage Samples to NLS (National Lab Service) Works operation indicators BOD, suspended solids © WRc plc 2011
  • 10. Hypotheses and principles Primary settlement can model storm tank performance Norovirus behaves as bacteriophage (F+ and somatic) in terms of physical removal Norovirus activity cannot be measured Membrane bioreactor (MBR) treatment likely to significantly reduce concentrations of norovirus UV treatment is not expected to affect norovirus measurement © WRc plc 2011
  • 11. Range of norovirus concentrations Influent sewage Secondary Final effluent effluent ASP advanced 6.4 6545 ND 2170 ND ASP high rate ND 341 ND 431 ND 354 Percolating filter ND 3818 ND 382 Biological aerated filter, ND 340 ND 407 ND 384 BAF Membrane 4 2147 ND 708 bioreactor Measurements all as genome copies / ml; ND = not detected in 10 mls; sensitivity © WRc plc 2011
  • 12. Norovirus concentrations © WRc plc 2010
  • 13. F+ phage concentrations © WRc plc 2010
  • 14. E.coli concentrations © WRc plc 2010
  • 15. Removal rates across works © WRc plc 2010
  • 16. Norovirus compared to F+ phage removal Log10 removal Norovirus GII F+ phage Activated sludge nutrient removal (ASP_adv) 3.64 3.12 Activated sludge high rate (ASP_hr) 2.76 2.65 Percolating Filter 1.56 0.52 Biological aerated filter 1.74 2.17 Membrane bioreactor 1.84 3.12 All from geometric mean differences, between primary and final effluent © WRc plc 2010
  • 17. Removal of indicators by individual stages © WRc plc 2010
  • 19. Correlation between F+ and norovirus © WRc plc 2010
  • 20. Initial findings Sewage treatment reduces Norovirus load Treatment process types may significantly affect removal of norovirus Activated sludge processes and Membrane Bioreactors most effective Filter processes may have differential effects between bacterial and viral indicators Norovirus analysis is complex individual values in this study were inconsistent with related samples Some indication that F+ phage could be a surrogate for treatment effectiveness © WRc plc 2011
  • 21. Final thoughts .. Replace percolating filters with activated sludge plants or membrane bioreactors? Build new works to accept all sewer flows? Costs for new works (10 million population) Energy costs increase 5 10 fold New build £1 3 billion Operating costs increase Greenhouse gas emissions double © WRc plc 2011
  • 22. Thank-you WRc Project team: Matthew Hoblyn, Mark Harman, Tony Dee, Rob Moore Defra project manager: Elaine Connolly With thanks to the staff and management of the host sampling sites And to the project management group © WRc plc 2011
  • 23. Next Steps Final report and recommendations to be prepared Discussion of finding with stakeholders Follow up research
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