Comparing quantitative probability of occurrence to a risk matrix approach: A study of chlorine residual data

Kaycie Lane; Graham Gagnon

doi:10.1016/j.watres.2022.118480

Comparing quantitative probability of occurrence to a risk matrix approach: A study of chlorine residual data

Kaycie Lane, Graham Gagnon

Materials Science

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Original language	English
Article number	118480
Journal	Water Research
Volume	218
DOIs	https://doi.org/10.1016/j.watres.2022.118480
Publication status	Published - Jun 30 2022

ASJC Scopus Subject Areas

Environmental Engineering
Civil and Structural Engineering
Ecological Modelling
Water Science and Technology
Waste Management and Disposal
Pollution

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.watres.2022.118480

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author = "Kaycie Lane and Graham Gagnon",

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language = "English",

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Comparing quantitative probability of occurrence to a risk matrix approach: A study of chlorine residual data

ASJC Scopus Subject Areas

UN SDGs

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