Optimizing sampling location for water quality degradation monitoring in distribution systems: Assessing global representativeness and potential health risk-Reference-Cited by-同舟云学术

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Optimizing sampling location for water quality degradation monitoring in distribution systems: Assessing global representativeness and potential health risk

Published:2024-08 Issue: Volume:365 Page:121505
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Ardila Andres^ORCID,Rodriguez Manuel J.^ORCID,Pelletier Genevieve^ORCID

Funder

Université Laval

NSERC

Publisher

Elsevier BV

Reference37 articles.

1. Framework for water quality monitoring system in water distribution networks based on vulnerability and population sensitivity risks;Abo-Monasar;Water Sci. Technol. Water Supply,2017

2. Multi-objective coverage-based ACO model for quality monitoring in large water networks;Afshar;Water Resour. Manag.,2012

3. Drinking water temperature around the globe: understanding, policies, challenges and opportunities;Agudelo-Vera;Water,2020

4. Spatiotemporal optimization of water quality degradation monitoring in water distribution systems supplied by surface sources: a chronological and critical review;Ardila;J. Environ. Manag.,2023

5. Modulating nodal outflows to guarantee sufficient disinfectant residuals in water distribution networks;Avvedimento;J. Water Resour. Plann. Manag.,2020

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