Disinfection Performance in Wastewater Stabilization Ponds in Cold Climate Conditions: A Case Study in Nunavut, Canada

Disinfection processes in passive wastewater treatment systems, which are dependent on natural purification, can be greatly influenced by environmental factors. In the Canadian Arctic, the passive systems face more challenges due to the extreme environmental conditions. The new Wastewater Systems Ef...

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Published in:Environments
Main Authors: Lei Liu, Alan MacDougall, Geof Hall, Pascale Champagne
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2017
Subjects:
Online Access:https://doi.org/10.3390/environments4040093
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author Lei Liu
Alan MacDougall
Geof Hall
Pascale Champagne
author_facet Lei Liu
Alan MacDougall
Geof Hall
Pascale Champagne
author_sort Lei Liu
collection MDPI Open Access Publishing
container_issue 4
container_start_page 93
container_title Environments
container_volume 4
description Disinfection processes in passive wastewater treatment systems, which are dependent on natural purification, can be greatly influenced by environmental factors. In the Canadian Arctic, the passive systems face more challenges due to the extreme environmental conditions. The new Wastewater Systems Effluent Regulations (WSER) were implemented in Canada in 2012. Currently, they do not apply in the far North due to the limited wastewater treatment infrastructure in northern communities. In the summer of 2015, a field investigation was conducted to Pond Inlet, Nunavut, to assess the pathogen removal and inactivation of a wastewater stabilization pond (WSP). Sunlight disinfection was considered only effective at the water surface. The system achieved 0.76–1.2 log removal of E. coli and 0.79–1.02 log removal of total coliforms during the treatment season in 2015. Prior to annual decant, the average concentration of E. coli was 1.3 × 106 CFU/100 mL in the WSP, which exceeded discharge guidelines of 104 to 106 CFU/100 mL set by the Nunavut Water Board (NWB). Existing WSP disinfection models, which were typically designed for temperate or tropical regions, were selected to study their viability to predict the pathogen removal of Arctic WSPs. In general, the models over-predicted disinfection performance by an order of magnitude or more, and some were unable to replicate trends in the data. A modified model for northern WSPs should be developed in order to accurately predict disinfection performance.
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spelling ftmdpi:oai:mdpi.com:/2076-3298/4/4/93/ 2025-01-16T20:31:11+00:00 Disinfection Performance in Wastewater Stabilization Ponds in Cold Climate Conditions: A Case Study in Nunavut, Canada Lei Liu Alan MacDougall Geof Hall Pascale Champagne agris 2017-12-14 application/pdf https://doi.org/10.3390/environments4040093 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/environments4040093 https://creativecommons.org/licenses/by/4.0/ Environments; Volume 4; Issue 4; Pages: 93 pathogen removal wastewater stabilization ponds E. coli removal sunlight disinfection modeling case study Text 2017 ftmdpi https://doi.org/10.3390/environments4040093 2023-07-31T21:18:55Z Disinfection processes in passive wastewater treatment systems, which are dependent on natural purification, can be greatly influenced by environmental factors. In the Canadian Arctic, the passive systems face more challenges due to the extreme environmental conditions. The new Wastewater Systems Effluent Regulations (WSER) were implemented in Canada in 2012. Currently, they do not apply in the far North due to the limited wastewater treatment infrastructure in northern communities. In the summer of 2015, a field investigation was conducted to Pond Inlet, Nunavut, to assess the pathogen removal and inactivation of a wastewater stabilization pond (WSP). Sunlight disinfection was considered only effective at the water surface. The system achieved 0.76–1.2 log removal of E. coli and 0.79–1.02 log removal of total coliforms during the treatment season in 2015. Prior to annual decant, the average concentration of E. coli was 1.3 × 106 CFU/100 mL in the WSP, which exceeded discharge guidelines of 104 to 106 CFU/100 mL set by the Nunavut Water Board (NWB). Existing WSP disinfection models, which were typically designed for temperate or tropical regions, were selected to study their viability to predict the pathogen removal of Arctic WSPs. In general, the models over-predicted disinfection performance by an order of magnitude or more, and some were unable to replicate trends in the data. A modified model for northern WSPs should be developed in order to accurately predict disinfection performance. Text Arctic Nunavut Pond Inlet MDPI Open Access Publishing Arctic Canada Nunavut Pond Inlet ENVELOPE(-77.960,-77.960,72.699,72.699) Environments 4 4 93
spellingShingle pathogen removal
wastewater stabilization ponds
E. coli removal
sunlight disinfection
modeling
case study
Lei Liu
Alan MacDougall
Geof Hall
Pascale Champagne
Disinfection Performance in Wastewater Stabilization Ponds in Cold Climate Conditions: A Case Study in Nunavut, Canada
title Disinfection Performance in Wastewater Stabilization Ponds in Cold Climate Conditions: A Case Study in Nunavut, Canada
title_full Disinfection Performance in Wastewater Stabilization Ponds in Cold Climate Conditions: A Case Study in Nunavut, Canada
title_fullStr Disinfection Performance in Wastewater Stabilization Ponds in Cold Climate Conditions: A Case Study in Nunavut, Canada
title_full_unstemmed Disinfection Performance in Wastewater Stabilization Ponds in Cold Climate Conditions: A Case Study in Nunavut, Canada
title_short Disinfection Performance in Wastewater Stabilization Ponds in Cold Climate Conditions: A Case Study in Nunavut, Canada
title_sort disinfection performance in wastewater stabilization ponds in cold climate conditions: a case study in nunavut, canada
topic pathogen removal
wastewater stabilization ponds
E. coli removal
sunlight disinfection
modeling
case study
topic_facet pathogen removal
wastewater stabilization ponds
E. coli removal
sunlight disinfection
modeling
case study
url https://doi.org/10.3390/environments4040093