Literature DB >> 28641184

Estimation of U.S. sewer residence time distributions for national-scale risk assessment of down-the-drain chemicals.

Katherine E Kapo1, Michael Paschka2, Raghu Vamshi3, Megan Sebasky4, Kathleen McDonough5.   

Abstract

Sewer residence time (the amount of time a given volume of wastewater resides in a sewer system prior to treatment) can have a significant influence on predictions of environmental fate and transport of wastewater constituents and corresponding risk assessment. In this study, a geographic information systems-based approach for estimating the distribution of sewer residence times for the U.S. was developed using road networks as a spatial proxy for sewer networks. The suitability of the approach was evaluated using case study municipalities, and the approach was subsequently extrapolated to 3422 wastewater treatment facilities of varying size across the U.S. to estimate a national distribution of sewer residence times. The estimated national median residence time for the U.S. was 3.3h. Facilities serving smaller municipalities (<1 million gallons per day) had comparatively shorter sewer residence times to facilities serving larger municipalities, though the latter comprise a greater proportion of overall national wastewater volume. The results of this study provide an important data resource in combination with chemical in-sewer biodegradation data to enable probabilistic risk assessment of consumer product chemicals disposed of down the drain.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  GIS; Risk assessment; Sewer residence time; Wastewater

Mesh:

Substances:

Year:  2017        PMID: 28641184     DOI: 10.1016/j.scitotenv.2017.06.075

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  4 in total

1.  COVID-19 wastewater epidemiology: a model to estimate infected populations.

Authors:  Christopher S McMahan; Stella Self; Lior Rennert; Corey Kalbaugh; David Kriebel; Duane Graves; Cameron Colby; Jessica A Deaver; Sudeep C Popat; Tanju Karanfil; David L Freedman
Journal:  Lancet Planet Health       Date:  2021-12

2.  Model-based assessment of COVID-19 epidemic dynamics by wastewater analysis.

Authors:  Daniele Proverbio; Françoise Kemp; Stefano Magni; Leslie Ogorzaly; Henry-Michel Cauchie; Jorge Gonçalves; Alexander Skupin; Atte Aalto
Journal:  Sci Total Environ       Date:  2022-03-01       Impact factor: 10.753

3.  Morphological Transformation of Silver Nanoparticles from Commercial Products: Modeling from Product Incorporation, Weathering through Use Scenarios, and Leaching into Wastewater.

Authors:  Selvan Mohan; Juliska Princz; Banu Ormeci; Maria C DeRosa
Journal:  Nanomaterials (Basel)       Date:  2019-09-05       Impact factor: 5.076

4.  Correlation of SARS-CoV-2 RNA in wastewater with COVID-19 disease burden in sewersheds.

Authors:  Jennifer Weidhaas; Zachary T Aanderud; D Keith Roper; James VanDerslice; Erica Brown Gaddis; Jeff Ostermiller; Ken Hoffman; Rubayat Jamal; Phillip Heck; Yue Zhang; Kevin Torgersen; Jacob Vander Laan; Nathan LaCross
Journal:  Sci Total Environ       Date:  2021-02-12       Impact factor: 7.963

  4 in total

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