Health risks due to intrusion into the drinking water distribution network: hydraulic modelling and quantitative microbial risk assessment-Reference-Cited by-同舟云学术

Health risks due to intrusion into the drinking water distribution network: hydraulic modelling and quantitative microbial risk assessment

Published:2023 Issue:6 Volume:9 Page:1701-1716
ISSN:2053-1400
Container-title:Environmental Science: Water Research & Technology
language:en
Short-container-title:Environ. Sci.: Water Res. Technol.

Author:

Odhiambo Michael¹^ORCID,Viñas Victor¹^ORCID,Sokolova Ekaterina¹²^ORCID,Pettersson Thomas J. R.¹

Affiliation:

1. Department of Architecture and Civil Engineering, Chalmers University of Technology, Sweden

2. Department of Earth Sciences, Uppsala University, Sweden

Abstract

This work provides a valuable application of the QMRA framework in a real distribution network, using available data from the water supplier and validated with other readily available sources.

Funder

VINNOVA

Publisher

Royal Society of Chemistry (RSC)

Subject

Water Science and Technology,Environmental Engineering

Link

http://pubs.rsc.org/en/content/articlepdf/2023/EW/D2EW00720G

Reference64 articles.

1. Pressure-Driven Demand and Leakage Simulation for Water Distribution Networks

2. ASCE , Water Infrastructure|American Society of Civil Engineers (ASCE)’s 2021 Infrastructure Report Card, https://infrastructurereportcard.org/cat-item/drinking-water/ , (accessed 3 February 2022)

3. Assessment of water losses in distribution networks: Methods, applications, uncertainties, and implications in intermittent supply

4. A.Malm , O.Bergstedt , G.Axelsson , L.Barregård , B.Forsberg , J.Ljungqvist , T.Pettersson and Swedish Water , Assessment of health risks on the pipeline network in case of leakage (swedish), 2015

5. Assessing the public health risk of microbial intrusion events in distribution systems: Conceptual model, available data, and challenges

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