Title | ||
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Climate change and drinking water quality: Predicting high trihalomethane occurrence in water utilities supplied by surface water. |
Abstract | ||
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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%). |
Year | DOI | Venue |
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2019 | 10.1016/j.envsoft.2019.07.004 | Environmental Modelling & Software |
Keywords | Field | DocType |
Drinking water,Trihalomethanes,Climate change,Multilevel regression models | Climate model,Climate change,Computer science,Hydrology,Surface water,Aquatic ecosystem,Trihalomethane,Logistic regression,Water quality,Precipitation | Journal |
Volume | ISSN | Citations |
120 | 1364-8152 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Geneviève Cool | 1 | 0 | 0.34 |
Ianis Delpla | 2 | 0 | 0.34 |
Pierre Gagnon | 3 | 0 | 0.34 |
Alexandre Lebel | 4 | 0 | 0.34 |
Rehan Sadiq | 5 | 364 | 30.26 |
Manuel Rodríguez | 6 | 30 | 8.69 |