Assessing human-source microbial contamination of stormwater in the U.S.

Dry weather flows Human fecal contamination analog Human microbial source tracking markers Potentially human infectious pathogens Stormwater Wet weather flows

Journal

Water research
ISSN: 1879-2448
Titre abrégé: Water Res
Pays: England
ID NLM: 0105072

Informations de publication

Date de publication:
18 Oct 2024
Historique:
received: 16 04 2024
revised: 05 10 2024
accepted: 15 10 2024
medline: 30 10 2024
pubmed: 30 10 2024
entrez: 29 10 2024
Statut: aheadofprint

Résumé

Stormwater capture and use (SCU) projects have the potential to provide a significant portion of municipal water demand. However, uncertainty about the degree of microbial contamination in stormwater and the required treatment is a barrier for implementation of SCU projects. Stormwater runoff could become contaminated with human fecal matter in areas with deteriorating infrastructure where raw wastewater exfiltrates from sewer networks to stormwater collection networks, homeless encampments exist, or sanitary sewer overflows (SSOs) occur. Estimation of human fecal contamination can inform selection of stormwater treatment targets. This study investigates stormwater microbial contamination originating from human fecal matter using observed detections and concentrations of human microbial source tracking (MST) markers and potentially human-infectious pathogens (PHIPs). First, a systematic review complied measurements of human MST markers in wet and dry weather stormwater flows and influent wastewater. In addition, measurements of viral pathogens (e.g., adenoviruses, norovirus GI+GII, and enteroviruses) and protozoan pathogens (e.g., Giardia lamblia and Cryptosporidium parvum) in wet weather flows and influent wastewater were assessed. Human MST marker and PHIP data were statistically analyzed and applied to estimate a human fecal contamination analog (HFCA) which is an estimate of the amount of human fecal matter based on relative concentrations of microbial contaminants in stormwater compared to municipal wastewater. Human MST-based HFCAs in wet and dry weather flows ranged from <10

Identifiants

pubmed: 39471764
pii: S0043-1354(24)01539-2
doi: 10.1016/j.watres.2024.122640
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

122640

Informations de copyright

Copyright © 2024. Published by Elsevier Ltd.

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

Jumana Alja'fari (J)

Department of Civil and Environmental Engineering, Colorado State University, 700 Meridian Avenue, Fort Collins, CO 80523, USA. Electronic address: jumana.aljafari@nist.gov.

Sybil Sharvelle (S)

Department of Civil and Environmental Engineering, Colorado State University, 700 Meridian Avenue, Fort Collins, CO 80523, USA.

Amos Branch (A)

Carollo Engineers, Inc., 2795 Mitchell Dr, Walnut Creek, CA 94598, USA.

Brian Pecson (B)

Trussell Technologies, 1939 Harrison Street, Oakland, CA 94612, USA.

Michael Jahne (M)

Office of Research and Development, U.S. Environmental Protection Agency, 26 West Martin Luther King Dr, Cincinnati, OH 45268, USA.

Adam Olivieri (A)

Environmental and Public Health Engineering, Inc., 1410 Jackson Street, Oakland, CA 94612, USA.

Mazdak Arabi (M)

Department of Civil and Environmental Engineering, Colorado State University, 400 Isotope Drive, Fort Collins, CO 80521, USA.

Jay L Garland (JL)

Office of Research and Development, U.S. Environmental Protection Agency, 26 West Martin Luther King Dr, Cincinnati, OH 45268, USA.

Raul Gonzalez (R)

H(2)O Molecular, 6746 Edinburgh Court, San Diego, CA 92120, USA.

Classifications MeSH