Climate change and drinking water quality: Predicting high trihalomethane occurrence in water utilities supplied by surface water

This study estimates the impact of future variations in temperature and precipitation ― associated with climate change scenarios ― on the probability of total Trihalomethanes (TTHM) concentrations exceeding a threshold in drinking water. 108 drinking water utilities (DWUs) located in the Province of...

Full description

Saved in:
Bibliographic Details
Published in:Environmental modelling & software : with environment data news 2019-10, Vol.120, p.104479, Article 104479
Main Authors: Cool, Geneviève, Delpla, Ianis, Gagnon, Pierre, Lebel, Alexandre, Sadiq, Rehan, Rodriguez, Manuel J.
Format: Article
Language:English
Subjects:
Climate change
Climate models
Drinking water
Environmental changes
Environmental impact
Multilevel regression models
Precipitation
Regression models
Statistical analysis
Surface water
Temperature effects
Trihalomethanes
Water quality
Water utilities
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This study estimates the impact of future variations in temperature and precipitation ― associated with climate change scenarios ― on the probability of total Trihalomethanes (TTHM) concentrations exceeding a threshold in drinking water. 108 drinking water utilities (DWUs) located in the Province of Quebec (Canada) were selected for this study. Temperature and precipitation variations from the period 2006–2009 to three predicted periods (2010–2039, 2040–2069, and 2070–2099) were estimated using two climate models and three emission scenarios. The probability of TTHM threshold exceedances was calculated using a multilevel logistic regression model based on three variables (treatment type, temperature, and precipitation) and three hierarchical levels (TTHM samples, DWUs and source water ecosystem). Results showed a low but significant increase in the probability of TTHM threshold exceedances over time (between 1.9% and 4.7%). There was also a significant probability difference between seasons (up to 30%) and between treatment types (between 25% and 40%). •Low increase in TTHM exceedances probability over time (+1.9–4.7%) was found.•An increase in intra-annual variability in probabilities with time was observed.•There is large differences between seasons (up to 30%) and treatment types (25–40%).•DWUs using advanced treatment are more resilient than DWUs using chlorination only.
ISSN:1364-8152
1873-6726
DOI:10.1016/j.envsoft.2019.07.004