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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...
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Published in: | Environmental modelling & software : with environment data news 2019-10, Vol.120, p.104479, Article 104479 |
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description | 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. |
doi_str_mv | 10.1016/j.envsoft.2019.07.004 |
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•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.</description><identifier>ISSN: 1364-8152</identifier><identifier>EISSN: 1873-6726</identifier><identifier>DOI: 10.1016/j.envsoft.2019.07.004</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>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</subject><ispartof>Environmental modelling & software : with environment data news, 2019-10, Vol.120, p.104479, Article 104479</ispartof><rights>2019 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Oct 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-cc148a1479bd66994c145fac7e052903f6c1640865782c4e3457382be4e104ab3</citedby><cites>FETCH-LOGICAL-c337t-cc148a1479bd66994c145fac7e052903f6c1640865782c4e3457382be4e104ab3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Cool, Geneviève</creatorcontrib><creatorcontrib>Delpla, Ianis</creatorcontrib><creatorcontrib>Gagnon, Pierre</creatorcontrib><creatorcontrib>Lebel, Alexandre</creatorcontrib><creatorcontrib>Sadiq, Rehan</creatorcontrib><creatorcontrib>Rodriguez, Manuel J.</creatorcontrib><title>Climate change and drinking water quality: Predicting high trihalomethane occurrence in water utilities supplied by surface water</title><title>Environmental modelling & software : with environment data news</title><description>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.</description><subject>Climate change</subject><subject>Climate models</subject><subject>Drinking water</subject><subject>Environmental changes</subject><subject>Environmental impact</subject><subject>Multilevel regression models</subject><subject>Precipitation</subject><subject>Regression models</subject><subject>Statistical analysis</subject><subject>Surface water</subject><subject>Temperature effects</subject><subject>Trihalomethanes</subject><subject>Water quality</subject><subject>Water utilities</subject><issn>1364-8152</issn><issn>1873-6726</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNqFkEtPwzAQhCMEEqXwE5AscU7wK3bCBaGKl1QJDnC2XGfTOKRJaztFPfLPcWnvnHZWOzOWvyS5JjgjmIjbNoN-64c6ZBSTMsMyw5ifJBNSSJYKScVp1EzwtCA5PU8uvG8xxlHzSfIz6-xKB0Cm0f0SkO4rVDnbf9l-ib7jwaHNqDsbdnfo3UFlTdhfGrtsUHC20d2wghCzgAZjRuegN4Bsf8yOwcasBY_8uF53Fiq02EXtah1tf57L5KzWnYer45wmn0-PH7OXdP72_Dp7mKeGMRlSYwgvNOGyXFRClCWPex5bJOCclpjVwhDBcSFyWVDDgfFcsoIugAPBXC_YNLk59K7dsBnBB9UOo-vjk4oyzCTllInoyg8u4wbvHdRq7SIgt1MEqz1t1aojbbWnrbBUkXbM3R9yEL-wteCUN3bPorIOTFDVYP9p-AVj441i</recordid><startdate>201910</startdate><enddate>201910</enddate><creator>Cool, Geneviève</creator><creator>Delpla, Ianis</creator><creator>Gagnon, Pierre</creator><creator>Lebel, Alexandre</creator><creator>Sadiq, Rehan</creator><creator>Rodriguez, Manuel J.</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7SC</scope><scope>7ST</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>SOI</scope></search><sort><creationdate>201910</creationdate><title>Climate change and drinking water quality: Predicting high trihalomethane occurrence in water utilities supplied by surface water</title><author>Cool, Geneviève ; Delpla, Ianis ; Gagnon, Pierre ; Lebel, Alexandre ; Sadiq, Rehan ; Rodriguez, Manuel J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-cc148a1479bd66994c145fac7e052903f6c1640865782c4e3457382be4e104ab3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Climate change</topic><topic>Climate models</topic><topic>Drinking water</topic><topic>Environmental changes</topic><topic>Environmental impact</topic><topic>Multilevel regression models</topic><topic>Precipitation</topic><topic>Regression models</topic><topic>Statistical analysis</topic><topic>Surface water</topic><topic>Temperature effects</topic><topic>Trihalomethanes</topic><topic>Water quality</topic><topic>Water utilities</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cool, Geneviève</creatorcontrib><creatorcontrib>Delpla, Ianis</creatorcontrib><creatorcontrib>Gagnon, Pierre</creatorcontrib><creatorcontrib>Lebel, Alexandre</creatorcontrib><creatorcontrib>Sadiq, Rehan</creatorcontrib><creatorcontrib>Rodriguez, Manuel J.</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Computer and Information Systems Abstracts</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Environment Abstracts</collection><jtitle>Environmental modelling & software : with environment data news</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cool, Geneviève</au><au>Delpla, Ianis</au><au>Gagnon, Pierre</au><au>Lebel, Alexandre</au><au>Sadiq, Rehan</au><au>Rodriguez, Manuel J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Climate change and drinking water quality: Predicting high trihalomethane occurrence in water utilities supplied by surface water</atitle><jtitle>Environmental modelling & software : with environment data news</jtitle><date>2019-10</date><risdate>2019</risdate><volume>120</volume><spage>104479</spage><pages>104479-</pages><artnum>104479</artnum><issn>1364-8152</issn><eissn>1873-6726</eissn><abstract>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.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.envsoft.2019.07.004</doi></addata></record> |
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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 |
title | Climate change and drinking water quality: Predicting high trihalomethane occurrence in water utilities supplied by surface water |
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