Collection system investigation microbial source tracking (CSI-MST): Applying molecular markers to identify sewer infrastructure failures.

Droplet digital PCR HF183 Infrastructure Microbial source tracking Recreational water quality Sewer collection system Stormwater Wastewater

Journal

Journal of microbiological methods
ISSN: 1872-8359
Titre abrégé: J Microbiol Methods
Pays: Netherlands
ID NLM: 8306883

Informations de publication

Date de publication:
24 Sep 2020
Historique:
received: 19 05 2020
revised: 02 09 2020
accepted: 22 09 2020
pubmed: 28 9 2020
medline: 28 9 2020
entrez: 27 9 2020
Statut: aheadofprint

Résumé

Collection System Investigation Microbial Source Tracking (CSI-MST) is a novel, sensitive approach for identifying sewer infrastructure deficiencies using molecular markers. This method requires both a detailed understanding of collection and conveyance system infrastructure and quickly turned around molecular data to advise an adaptive, targeted in-pipe approach to detect deficiencies. Here we explain the CSI-MST approach and provide several case study examples of how this approach can be adapted to different scale watersheds to identify potential sewer infrastructure issues. This approach has been used to locate and confirm the remediation of numerous needed infrastructure repairs in the southeastern Virginia region. The selected case studies presented here serve as a proof of concept-this methodology can be adopted by other utilities and municipalities to address necessary wastewater infrastructure repairs in different regions.

Identifiants

pubmed: 32980335
pii: S0167-7012(20)30784-3
doi: 10.1016/j.mimet.2020.106068
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

106068

Informations de copyright

Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Dana Gonzalez (D)

Hampton Roads Sanitation District, Virginia Beach, VA, USA.

David Keeling (D)

Hampton Roads Sanitation District, Virginia Beach, VA, USA.

Hannah Thompson (H)

Hampton Roads Sanitation District, Virginia Beach, VA, USA.

Allison Larson (A)

Hampton Roads Sanitation District, Virginia Beach, VA, USA.

Jack Denby (J)

Hampton Roads Sanitation District, Virginia Beach, VA, USA.

Kyle Curtis (K)

Hampton Roads Sanitation District, Virginia Beach, VA, USA.

Kathleen Yetka (K)

Hampton Roads Sanitation District, Virginia Beach, VA, USA.

Michael Rondini (M)

Hampton Roads Sanitation District, Virginia Beach, VA, USA.

Evan Yeargan (E)

Virginia Department of Health, Norfolk, VA, USA.

Todd Egerton (T)

Virginia Department of Health, Norfolk, VA, USA.

Danny Barker (D)

Hampton Roads Sanitation District, Virginia Beach, VA, USA.

Raul Gonzalez (R)

Hampton Roads Sanitation District, Virginia Beach, VA, USA. Electronic address: rgonzalez@hrsd.com.

Classifications MeSH