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Dr. Ianis Delpla
1.: Industrial Drinking water chair, Laval University, Quebec QC G1V 0A6, Canada

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0 Environmental Justice
0 Water Quality Modeling
0 Decision Support Systems
0 Human health risk assessment
0 Drinking water quality and human health

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Drinking water quality and human health
Climate change impacts on drinking water supply
Drinking water management

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Review
Published: 04 March 2021 in International Journal of Environmental Research and Public Health
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Climate change represents a serious threat to the health and well-being of populations. Today, many countries, regions, and cities around the world are implementing policies and strategies to adapt to climate change and mitigate its effects. A scoping review was performed to identify tools and methods that help integrate health into climate change adaptation and mitigation policies and strategies. The literature search includes scientific and grey literature. The scientific literature was conducted using PubMed, Elsevier Embase, and Web of Science databases. A grey literature web search was performed to complement the results. A total of 35 studies (28 from the scientific literature and 7 from the grey literature) were finally included. A large majority of research articles (24/28) and almost all reports (6/7) from the grey literature were published after 2010. Results show that the tools that were found most frequently are the nested models (12/35), health impact assessment (6/35), vulnerability and adaptation assessment (3/35), conceptual frameworks (3/35), and mixed methods (3/35). This review shows an increasing interest in the topic of developing tools to better manage health issues in adaptation and mitigation strategies, with a recent increase in the number of publications. Additional analyses of tools’ effectiveness should be conducted in further studies.

ACS Style

Ianis Delpla; Thierno Diallo; Michael Keeling; Olivier Bellefleur. Tools and Methods to Include Health in Climate Change Adaptation and Mitigation Strategies and Policies: A Scoping Review. International Journal of Environmental Research and Public Health 2021, 18, 2547 .

AMA Style

Ianis Delpla, Thierno Diallo, Michael Keeling, Olivier Bellefleur. Tools and Methods to Include Health in Climate Change Adaptation and Mitigation Strategies and Policies: A Scoping Review. International Journal of Environmental Research and Public Health. 2021; 18 (5):2547.

Chicago/Turabian Style

Ianis Delpla; Thierno Diallo; Michael Keeling; Olivier Bellefleur. 2021. "Tools and Methods to Include Health in Climate Change Adaptation and Mitigation Strategies and Policies: A Scoping Review." International Journal of Environmental Research and Public Health 18, no. 5: 2547.

Journal article
Published: 08 March 2020 in Science of The Total Environment
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Perception of tap water is subject to a wide range of factors and interactions. These include risk perception, tap water quality and organoleptic perceptions, microbiological and chemical quality, prior experiences, information sources, trust in water companies and other groups, and perceived control and contextual factors, among others. The objective of this study is to assess the factors that influence and determine citizen behavior regarding drinking water. A phone survey was conducted among 1014 citizens living in the city of Québec, Canada. Five different domestic water consumption profiles were elaborated according to the citizens' preferences and behavior. Descriptive statistics and mediation analyses were carried out to analyse the survey results and assess the factors modifying the links between satisfaction and water consumption behavior. Results show that drinking water quality could be loosely linked with overall satisfaction with tap water. The water consumption profile was strongly linked with satisfaction levels related to the taste, odor and color of tap water. We observed that the association between an individual's tap water satisfaction and water consumption behavior was mediated by the water treatment strategies applied at home (filtering, cooling), knowledge about drinking water quality and its production, and risk perception. The mediating effects were shown to be significant mainly among bottled-water-only and tap-water-only consumers. Future interventions that aim to encourage the population's use of tap water as a primary source should prioritize cooling and filtering tap water in their messaging, in order to improve population satisfaction. The reduction of risk perception through targeted information campaigns is also of primary importance for decreasing the number of citizens who exclusively drink bottled water.

ACS Style

Ianis Delpla; Christelle Legay; François Proulx; Manuel J. Rodriguez. Perception of tap water quality: Assessment of the factors modifying the links between satisfaction and water consumption behavior. Science of The Total Environment 2020, 722, 137786 .

AMA Style

Ianis Delpla, Christelle Legay, François Proulx, Manuel J. Rodriguez. Perception of tap water quality: Assessment of the factors modifying the links between satisfaction and water consumption behavior. Science of The Total Environment. 2020; 722 ():137786.

Chicago/Turabian Style

Ianis Delpla; Christelle Legay; François Proulx; Manuel J. Rodriguez. 2020. "Perception of tap water quality: Assessment of the factors modifying the links between satisfaction and water consumption behavior." Science of The Total Environment 722, no. : 137786.

Journal article
Published: 01 February 2020 in Journal of Environmental Management
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The optimization of drinking water monitoring becomes increasingly complex with the size of a water distribution system. Municipal water managers have to combine their experiences with different types of information (historical water quality variability, infrastructure, water residence times, sociodemographic profiles, etc.) that are available in different forms (qualitative, quantitative, geographical, etc.) to be able to select the monitoring locations for regulatory compliance and routine water quality management and control. Therefore, the integration of such information requires to select suitable variables and use the appropriate data mining and aggregation methods. This work aims to develop a methodology that helps optimize drinking water quality monitoring programs by considering the different components of population vulnerability that vary both spatially and temporally. This project was conducted in a distribution system that supplies approximately 510 000 citizens. Due to the high seasonal climatic variations and the size of the network, there are also considerable spatial and temporal variations in water quality throughout the year. An index representing the spatio-temporal population vulnerability (combination of population exposure, sensitivity and adaptation capacity) to the degradation of drinking water quality was developed by selecting the relevant parameters and aggregation methods. The population vulnerability index was calculated by aggregating spatio-temporal water quality data (representing microbiological and chemical risks) and distribution network characteristics (number of leakages, pipes type and age). This information was then compared with sociodemographic data related to population sensitivity (percentage of children and the elderly, and the number of health care centers) and the population's adaptive capacity (social and material deprivation). A fuzzy synthetic evaluation method is used for parameter aggregation and to calculate the different indexes. By considering variable locations and periods of time that may better represent the population vulnerability, the results of this project are useful for drinking water managers to optimize their drinking water monitoring strategies.

ACS Style

Ianis Delpla; François Proulx; Manuel J. Rodríguez. A methodology to prioritize spatio-temporal monitoring of drinking water quality considering population vulnerability. Journal of Environmental Management 2020, 255, 109869 .

AMA Style

Ianis Delpla, François Proulx, Manuel J. Rodríguez. A methodology to prioritize spatio-temporal monitoring of drinking water quality considering population vulnerability. Journal of Environmental Management. 2020; 255 ():109869.

Chicago/Turabian Style

Ianis Delpla; François Proulx; Manuel J. Rodríguez. 2020. "A methodology to prioritize spatio-temporal monitoring of drinking water quality considering population vulnerability." Journal of Environmental Management 255, no. : 109869.

Journal article
Published: 01 October 2018 in Chemosphere
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Trihalomethanes (THMs) and Haloacetic Acids (HAAs) are the main groups detected in drinking water and are consequently strictly regulated. However, the increasing quantity of data for disinfection byproducts (DBPs) produced from research projects and regulatory programs remains largely unexploited, despite a great potential for its use in optimizing drinking water quality monitoring to meet specific objectives. In this work, we developed a procedure to optimize locations and periods for DBPs monitoring based on a set of monitoring scenarios using the cluster analysis technique. The optimization procedure used a robust set of spatio-temporal monitoring results on DBPs (THMs and HAAs) generated from intensive sampling campaigns conducted in a residential sector of a water distribution system. Results shows that cluster analysis allows for the classification of water quality in different groups of THMs and HAAs according to their similarities, and the identification of locations presenting water quality concerns. By using cluster analysis with different monitoring objectives, this work provides a set of monitoring solutions and a comparison between various monitoring scenarios for decision-making purposes. Finally, it was demonstrated that the data from intensive monitoring of free chlorine residual and water temperature as DBP proxy parameters, when processed using cluster analysis, could also help identify the optimal sampling points and periods for regulatory THMs and HAAs monitoring.

ACS Style

Ianis Delpla; Mihai Florea; Geneviève Pelletier; Manuel J. Rodriguez. Optimizing disinfection by-product monitoring points in a distribution system using cluster analysis. Chemosphere 2018, 208, 512 -521.

AMA Style

Ianis Delpla, Mihai Florea, Geneviève Pelletier, Manuel J. Rodriguez. Optimizing disinfection by-product monitoring points in a distribution system using cluster analysis. Chemosphere. 2018; 208 ():512-521.

Chicago/Turabian Style

Ianis Delpla; Mihai Florea; Geneviève Pelletier; Manuel J. Rodriguez. 2018. "Optimizing disinfection by-product monitoring points in a distribution system using cluster analysis." Chemosphere 208, no. : 512-521.

Contributors
Published: 07 September 2018 in Multiple Stressors in River Ecosystems
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ACS Style

Vicenç Acuña; Ebun Akinsete; Jacob Bendix; Sebastian Birk; Helge Bormann; Jane A. Catford; John Conallin; Wyatt F. Cross; Ianis Delpla; Stuart E. Bunn; Arturo Elosegi; Daniel Escoriza; Christian K. Feld; Teresa Ferreira; Kelly Fouchy; Xavier Garcia; Lidija Globevnik; Björn Guse; Mark J. Kennard; Sherri L. Johnson; Noel Juvigny-Khenafou; Jens Kiesel; Phoebe Koundouri; Qiaoyan Lin; Ralf Ludwig; Ryan M. Burrows; David W.P. Manning; Jonathan C. Marshall; Christoph D. Matthaei; Michael E. McClain; Rodrigo Moncayo-Estrada; Michael Mutz; Peter M. Negus; Gordon O’Brien; Julian D. Olden; Brooke E. Penaluna; Jeremy J. Piggott; Alberto Pistocchi; Nick R. Bond; Alonso Ramírez; Blanca Ríos-Touma; Manuel J. Rodriguez; Albert Ruhi; Sergi Sabater; Rafaela Schinegger; Jeannine-Marie St Jacques; John C. Stella; S. Mažeika P. Sullivan; Stella Tsani; Daniel Von Schiller; Zhijie Wu; Hongyong Xiang; Yixin Zhang. Contributors. Multiple Stressors in River Ecosystems 2018, 1 .

AMA Style

Vicenç Acuña, Ebun Akinsete, Jacob Bendix, Sebastian Birk, Helge Bormann, Jane A. Catford, John Conallin, Wyatt F. Cross, Ianis Delpla, Stuart E. Bunn, Arturo Elosegi, Daniel Escoriza, Christian K. Feld, Teresa Ferreira, Kelly Fouchy, Xavier Garcia, Lidija Globevnik, Björn Guse, Mark J. Kennard, Sherri L. Johnson, Noel Juvigny-Khenafou, Jens Kiesel, Phoebe Koundouri, Qiaoyan Lin, Ralf Ludwig, Ryan M. Burrows, David W.P. Manning, Jonathan C. Marshall, Christoph D. Matthaei, Michael E. McClain, Rodrigo Moncayo-Estrada, Michael Mutz, Peter M. Negus, Gordon O’Brien, Julian D. Olden, Brooke E. Penaluna, Jeremy J. Piggott, Alberto Pistocchi, Nick R. Bond, Alonso Ramírez, Blanca Ríos-Touma, Manuel J. Rodriguez, Albert Ruhi, Sergi Sabater, Rafaela Schinegger, Jeannine-Marie St Jacques, John C. Stella, S. Mažeika P. Sullivan, Stella Tsani, Daniel Von Schiller, Zhijie Wu, Hongyong Xiang, Yixin Zhang. Contributors. Multiple Stressors in River Ecosystems. 2018; ():1.

Chicago/Turabian Style

Vicenç Acuña; Ebun Akinsete; Jacob Bendix; Sebastian Birk; Helge Bormann; Jane A. Catford; John Conallin; Wyatt F. Cross; Ianis Delpla; Stuart E. Bunn; Arturo Elosegi; Daniel Escoriza; Christian K. Feld; Teresa Ferreira; Kelly Fouchy; Xavier Garcia; Lidija Globevnik; Björn Guse; Mark J. Kennard; Sherri L. Johnson; Noel Juvigny-Khenafou; Jens Kiesel; Phoebe Koundouri; Qiaoyan Lin; Ralf Ludwig; Ryan M. Burrows; David W.P. Manning; Jonathan C. Marshall; Christoph D. Matthaei; Michael E. McClain; Rodrigo Moncayo-Estrada; Michael Mutz; Peter M. Negus; Gordon O’Brien; Julian D. Olden; Brooke E. Penaluna; Jeremy J. Piggott; Alberto Pistocchi; Nick R. Bond; Alonso Ramírez; Blanca Ríos-Touma; Manuel J. Rodriguez; Albert Ruhi; Sergi Sabater; Rafaela Schinegger; Jeannine-Marie St Jacques; John C. Stella; S. Mažeika P. Sullivan; Stella Tsani; Daniel Von Schiller; Zhijie Wu; Hongyong Xiang; Yixin Zhang. 2018. "Contributors." Multiple Stressors in River Ecosystems , no. : 1.

Article
Published: 25 August 2018 in Water Resources Management
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Improving drinking water source monitoring is crucial for efficiently managing the drinking water treatment process and ensuring the delivery of safe water. Data mining techniques could prove useful to help forecast source water quality. In this study, two approaches were used to forecast turbidity mean levels and peaks in the main drinking water source of the city of Québec, Canada. Trend analysis was applied for the prediction of significant turbidity events (>99th percentile of data distribution). Artificial neural networks using antecedent moisture conditions as input parameters (all turbidity peaks) served to forecast daily turbidity time series. Results show that trend analyses help anticipate the timing of turbidity peaks ― with differences between the cold season (fall and winter) and the warm season (spring and summer) and mean anticipations between 45 and 85 min and 25 and 45 min, respectively ― and the magnitude of the peak. The artificial neural network model was developed and proven capable of predicting the mean levels of turbidity at the drinking water intake of the investigated catchment. These early warning systems could be applied to source water system forecasting and provide a framework for adjusting drinking water treatment operations.

ACS Style

Ianis Delpla; Mihai Florea; Manuel J. Rodriguez. Drinking Water Source Monitoring Using Early Warning Systems Based on Data Mining Techniques. Water Resources Management 2018, 33, 129 -140.

AMA Style

Ianis Delpla, Mihai Florea, Manuel J. Rodriguez. Drinking Water Source Monitoring Using Early Warning Systems Based on Data Mining Techniques. Water Resources Management. 2018; 33 (1):129-140.

Chicago/Turabian Style

Ianis Delpla; Mihai Florea; Manuel J. Rodriguez. 2018. "Drinking Water Source Monitoring Using Early Warning Systems Based on Data Mining Techniques." Water Resources Management 33, no. 1: 129-140.

Review
Published: 14 May 2018 in International Journal of Environmental Research and Public Health
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The epidemiological evidence demonstrating the effect of disinfection by-products (DBPs) from drinking water on colon and rectal cancers is well documented. However, no systematic assessment has been conducted to assess the potential effect measure modification (EMM) in the relationship between DBPs and cancer. The objective of this paper is to conduct a systematic literature review to determine the extent to which EMM has been assessed in the relationship between DBPs in drinking water in past epidemiological studies. Selected articles (n = 19) were reviewed, and effect estimates and covariates that could have been used in an EMM assessment were gathered. Approximately half of the studies assess EMM (n = 10), but the majority of studies only estimate it relative to sex subgroups (n = 6 for bladder cancer and n = 2 both for rectal and colon cancers). Although EMM is rarely assessed, several variables that could have a potential modification effect are routinely collected in these studies, such as socioeconomic status or age. The role of environmental exposures through drinking water can play an important role and contribute to cancer disparities. We encourage a systematic use of subgroup analysis to understand which populations or territories are more vulnerable to the health impacts of DBPs.

ACS Style

Tarik Benmarhnia; Ianis Delpla; Lara Schwarz; Manuel J. Rodriguez; Patrick Levallois. Heterogeneity in the Relationship between Disinfection By-Products in Drinking Water and Cancer: A Systematic Review. International Journal of Environmental Research and Public Health 2018, 15, 979 .

AMA Style

Tarik Benmarhnia, Ianis Delpla, Lara Schwarz, Manuel J. Rodriguez, Patrick Levallois. Heterogeneity in the Relationship between Disinfection By-Products in Drinking Water and Cancer: A Systematic Review. International Journal of Environmental Research and Public Health. 2018; 15 (5):979.

Chicago/Turabian Style

Tarik Benmarhnia; Ianis Delpla; Lara Schwarz; Manuel J. Rodriguez; Patrick Levallois. 2018. "Heterogeneity in the Relationship between Disinfection By-Products in Drinking Water and Cancer: A Systematic Review." International Journal of Environmental Research and Public Health 15, no. 5: 979.

Review
Published: 10 January 2018 in Water Policy
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Drinking-water management systems (DWMSs) represent the primary means for preventative management of a drinking-water supply and are defined as a system of policies, procedures and administrative/behavioral controls designed to ensure safe drinking water from source to tap. With influence and inspiration ranging from safe food handling to industrial quality management, DWMSs can take, and have taken, many different forms throughout the world. This variability is especially true in Canada, a country with a decentralized governance structure, where provincial and territorial governments are mostly autonomous in regard to drinking-water governance and management. While this has resulted in comprehensive DWMSs in provinces such as Ontario, less-proactive provinces and territories have fallen behind and may be exposing consumers to under-protected and vulnerable drinking-water supplies. This paper includes a review and comparison of the existing Canadian national, provincial and territorial approaches to drinking-water management, the World Health Organization Water Safety Plan Recommendations, national DWMSs from Australia and New Zealand, and also includes widely applied, generic quality management systems. This information is then used to gauge the comprehensiveness of DWMSs in Canada and highlight potential management gaps and policy recommendations for the development of new, or improving existing, DWMSs.

ACS Style

Ty Bereskie; Ianis Delpla; Manuel J. Rodriguez; Rehan Sadiq. Drinking-water management in Canadian provinces and territories: a review and comparison of management approaches for ensuring safe drinking water. Water Policy 2018, 20, 565 -596.

AMA Style

Ty Bereskie, Ianis Delpla, Manuel J. Rodriguez, Rehan Sadiq. Drinking-water management in Canadian provinces and territories: a review and comparison of management approaches for ensuring safe drinking water. Water Policy. 2018; 20 (3):565-596.

Chicago/Turabian Style

Ty Bereskie; Ianis Delpla; Manuel J. Rodriguez; Rehan Sadiq. 2018. "Drinking-water management in Canadian provinces and territories: a review and comparison of management approaches for ensuring safe drinking water." Water Policy 20, no. 3: 565-596.

Book chapter
Published: 01 January 2017 in Pyrolysis of Organic Molecules with Applications to Health and Environmental Issues
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ACS Style

Nathalie Azema; Marine Brogat; Christopher Burgess; Jean Causse; Ianis Delpla; Aude-Valérie Jung; Guillaume Junqua; Benoît Roig; Marie-Florence Thomas; Olivier Thomas. List of Contributors. Pyrolysis of Organic Molecules with Applications to Health and Environmental Issues 2017, 1 .

AMA Style

Nathalie Azema, Marine Brogat, Christopher Burgess, Jean Causse, Ianis Delpla, Aude-Valérie Jung, Guillaume Junqua, Benoît Roig, Marie-Florence Thomas, Olivier Thomas. List of Contributors. Pyrolysis of Organic Molecules with Applications to Health and Environmental Issues. 2017; ():1.

Chicago/Turabian Style

Nathalie Azema; Marine Brogat; Christopher Burgess; Jean Causse; Ianis Delpla; Aude-Valérie Jung; Guillaume Junqua; Benoît Roig; Marie-Florence Thomas; Olivier Thomas. 2017. "List of Contributors." Pyrolysis of Organic Molecules with Applications to Health and Environmental Issues , no. : 1.

Journal article
Published: 01 January 2017 in Chemosphere
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The quality of drinking water sources can decrease when contaminants are transported by overland and subsurface flow and discharged into surface waters following rainfall events. Increases in organic contaminants such as road salts and organic matter may occur and potentially modify disinfection by-products (DBPs) concentration and speciation. This study investigated the effects of various spring rainfall events on the quality of treated waters at a large water treatment plant through the implementation of intensive water quality monitoring of raw, filtered and treated waters during different rainfall events. DBPs (four trihalomethanes and six haloacetic acids) and their explanatory variables (pH, turbidity, water temperature, specific ultraviolet absorbance, total and dissolved organic carbon, bromide and chlorine dose) were measured during four rainfall events. The results showed that water quality degrades during and following rainfall, leading to small increases in trihalomethanes (THM4) and haloacetic acids (HAA6) in treated waters. While THM4 and HAA6 levels remained low during the pre-rainfall period (<9 μg/L) for the four sampling campaigns, small increases in THM4 and HAA6 during and after spring rainfall events were observed. During the rainfall and post-rainfall periods, concentration peaks corresponding to 3-fold and 2-fold increases (respectively 27.5 μg/L for THM4 and 12.6 μg/L for HAA6) compared to pre-rainfall levels were also measured. A slight decrease in harmful brominated THM and HAA proportion was also observed following rainfall events.

ACS Style

Ianis Delpla; Manuel J. Rodriguez. Variability of disinfection by-products at a full-scale treatment plant following rainfall events. Chemosphere 2017, 166, 453 -462.

AMA Style

Ianis Delpla, Manuel J. Rodriguez. Variability of disinfection by-products at a full-scale treatment plant following rainfall events. Chemosphere. 2017; 166 ():453-462.

Chicago/Turabian Style

Ianis Delpla; Manuel J. Rodriguez. 2017. "Variability of disinfection by-products at a full-scale treatment plant following rainfall events." Chemosphere 166, no. : 453-462.

Conference paper
Published: 01 December 2016 in Proceedings of The 1st International Electronic Conference on Water Sciences
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Drinking water treatment plants (DWTP) using surface water as potable source could be particularly vulnerable to short term transient events leading to sudden rise in suspended sediments, organic matter, nutrients, pathogens and other organic and inorganic contaminants. The prediction of source water parameters using early warning systems could be one solution to drinking water operators to manage short term transient water quality contamination events. In the context of climate changes where an intensification of rainfall-runoff events and consecutive pollution episodes is predicted, using data mining techniques could be of particular interest as forecasting tools to adapt efficiently drinking water treatment during transient pollution episodes. This study focuses on the development of data mining techniques using neural networks and trend analysis to forecast turbidity peaks in a drinking water source located in a humid continental climate (Quebec, Canada). The DWTP uses surface water to provide drinking water to almost 300 000 inhabitants. High frequency data from 2012 to 2016, from on-line measurements, are used for source water turbidity. Rainfall indicators (number of dry days, sum of the daily precipitation for 1, 2, 5 and 10 days prior to turbidity event start, days since daily precipitation of at least 10, 20 and 50 mm prior to event start) have been created using five meteorological stations located within the watershed as input parameters for models. The results of this study could help water treatment plant operators to anticipate the variability of key water quality parameters.

ACS Style

Ianis Delpla; Mihai Florea; Manuel Rodriguez. Using data mining for event-based prediction of turbidity in a drinking water source. Proceedings of The 1st International Electronic Conference on Water Sciences 2016, 1 .

AMA Style

Ianis Delpla, Mihai Florea, Manuel Rodriguez. Using data mining for event-based prediction of turbidity in a drinking water source. Proceedings of The 1st International Electronic Conference on Water Sciences. 2016; ():1.

Chicago/Turabian Style

Ianis Delpla; Mihai Florea; Manuel Rodriguez. 2016. "Using data mining for event-based prediction of turbidity in a drinking water source." Proceedings of The 1st International Electronic Conference on Water Sciences , no. : 1.

Journal article
Published: 01 November 2016 in Water Research
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Spring rainfall events can have deleterious impacts on raw and drinking water quality for water treatment plants that use surface waters. This study compares the influence of land use and climate on DBP precursors in two catchments supplying the region around the City of Québec, Canada, and assesses the variability of Disinfection By-Product (DBP) concentration and speciation following rainfall events. DBPs (trihalomethanes (THMs) and haloacetic acids (HAAs)) and their precursors in raw waters (pH, turbidity, specific ultraviolet absorbance (SUVA), total and dissolved organic carbon, bromides and chlorine dose) were monitored. Various experimental chlorination tests, DBP formation potential (DBPFP) and Simulated Distribution Systems (SDS), were also performed. Differences in pre-rainfall (baseflow) water quality were noted according to the different watershed land uses. Raw water quality patterns showed modifications between baseflow and rainfall periods, with a degradation of raw water quality according to turbidity and SUVA in both water sources. Rainfall events were also shown to alter organic matter reactivity with an increase in THM formation potential for both sites. A less noticeable impact on HAA formation potential was observed. However, no clear differences in DBPFP tests were observed between the sites. SDS tests showed that rainfall events lead to considerable rises in organic carbon reactivity of filtered waters, even after primary treatment, with a 2-fold increase in THM and HAA concentrations following rainfall for waters representing the end of one main distribution system (20 h contact time). These increases are linked mainly to a rise in non-brominated DBPs such as chloroform, trichloroacetic acid and dichloroacetic acid. This study confirms the importance of strictly controlling OM levels during drinking water treatment to ensure safe drinking water quality throughout the distribution system.

ACS Style

Ianis Delpla; Manuel J. Rodriguez. Experimental disinfection by-product formation potential following rainfall events. Water Research 2016, 104, 340 -348.

AMA Style

Ianis Delpla, Manuel J. Rodriguez. Experimental disinfection by-product formation potential following rainfall events. Water Research. 2016; 104 ():340-348.

Chicago/Turabian Style

Ianis Delpla; Manuel J. Rodriguez. 2016. "Experimental disinfection by-product formation potential following rainfall events." Water Research 104, no. : 340-348.

Journal article
Published: 01 December 2015 in Environmental Pollution
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Highlights•Deprived rural municipalities most likely use basic or no drinking water treatment.•Water lead levels are highest in most deprived medium-size municipalities.•Risks of high water lead and TTHMs concentrations are higher in deprived rural areas. AbstractFew studies have assessed social inequalities in exposure to drinking water contaminants. This study explores this issue in 593 rural municipalities of Québec, Canada. Quartiles of an ecological composite deprivation index were used as a proxy of socioeconomic status. Total trihalomethanes (TTHMs) and lead were chosen as proxies of chemical drinking water quality. The results show that the majority of deprived rural municipalities apply no treatment to their water (26%) or use a basic treatment (51%), whereas a relative majority of the wealthiest municipalities (40%) use advanced treatment. The proportion of municipalities having important lead (>5 μg/L) levels is highest in most deprived municipalities. Moreover, most deprived municipalities have a higher risk of high tap lead levels (RR = 1.33; 95%CI: 1.30, 1.36). Conversely, most deprived municipalities have a lower risk of high TTHMs levels (RR = 0.78; 95%CI: 0.69, 0.86). These findings suggest an environmental inequality in drinking water contaminants distribution in rural municipalities.

ACS Style

Ianis Delpla; Tarik Benmarhnia; Alexandre Lebel; Patrick Levallois; Manuel J. Rodríguez. Investigating social inequalities in exposure to drinking water contaminants in rural areas. Environmental Pollution 2015, 207, 88 -96.

AMA Style

Ianis Delpla, Tarik Benmarhnia, Alexandre Lebel, Patrick Levallois, Manuel J. Rodríguez. Investigating social inequalities in exposure to drinking water contaminants in rural areas. Environmental Pollution. 2015; 207 ():88-96.

Chicago/Turabian Style

Ianis Delpla; Tarik Benmarhnia; Alexandre Lebel; Patrick Levallois; Manuel J. Rodríguez. 2015. "Investigating social inequalities in exposure to drinking water contaminants in rural areas." Environmental Pollution 207, no. : 88-96.

Journal article
Published: 01 June 2015 in Journal of Water and Climate Change
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In Québec, Canada, shifts in climate patterns (i.e., rainfall increase) could have consequences on source water quality due to the intensification of surface/groundwater runoff contamination events, leading to a decline in drinking water treatment efficiency and ultimately disinfection by-products (DBPs) formation following treatment. To assess the impacts of climate change (CC) scenarios on DBP formation, a suite of models linking climate to DBPs was used. This study applies three emissions scenarios (B1, A1B and A2) for three 30-year horizons (2020, 2050 and 2080) in order to produce inputs to test several DBP models (total trihalomethanes (TTHMs), haloacetic acids and haloacetonitriles). An annual increase is estimated for all DBPs for each CC scenario and horizon. The highest seasonal increases were estimated for winter for all DBP groups or species. In the worst-case scenario (A2-2080), TTHMs could be affected more particularly during winter (+34.0%), followed by spring (+16.1%) and fall (+4.4%), whereas summer concentrations would remain stable (−0.3 to +0.4%). Potentially, small water utilities applying only a disinfection step could be more affected by rising TTHMs concentrations associated with CC than those having implemented a complete water treatment process (coagulation–flocculation, filtration and disinfection) with +13.6% and +8.2% increases respectively (A2-2080).

ACS Style

I. Delpla; A. Scheili; S. Guilherme; G. Cool; M. J. Rodriguez. Variations of disinfection by-product levels in small drinking water utilities according to climate change scenarios: a first assessment. Journal of Water and Climate Change 2015, 7, 1 -15.

AMA Style

I. Delpla, A. Scheili, S. Guilherme, G. Cool, M. J. Rodriguez. Variations of disinfection by-product levels in small drinking water utilities according to climate change scenarios: a first assessment. Journal of Water and Climate Change. 2015; 7 (1):1-15.

Chicago/Turabian Style

I. Delpla; A. Scheili; S. Guilherme; G. Cool; M. J. Rodriguez. 2015. "Variations of disinfection by-product levels in small drinking water utilities according to climate change scenarios: a first assessment." Journal of Water and Climate Change 7, no. 1: 1-15.

Journal article
Published: 01 September 2014 in Science of The Total Environment
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Surface water quality is particularly sensitive to land use practices and climatic events that affect its catchment. The relative influence of a set of watershed characteristics (climate, land use, morphology and pedology) and climatic variables on two key water quality parameters (turbidity and fecal coliforms (FC)) was examined in 24 eastern Canadian catchments at various spatial scales (1 km, 5 km, 10 km and the entire catchment). A regression analysis revealed that the entire catchment was a better predictor of water quality. Based on this information, linear mixed effect models for predicting turbidity and FC levels were developed. A set of land use and climate scenarios was considered and applied within the water quality models. Four land use scenarios (no change, same rate of variation, optimistic and pessimistic) and three climate change scenarios (B1, A1B and A2) were tested and variations for the near future (2025) were assessed and compared to the reference period (2000). Climate change impacts on water quality remained low annually for this time horizon (turbidity: +1.5%, FC: +1.6%, A2 scenario). On the other hand, the influence of land use changes appeared to predominate. Significant benefits for both parameters could be expected following the optimistic scenario (turbidity: -16.4%, FC: -6.3%; p < 0.05). However, pessimistic land use scenario led to significant increases on an annual basis (turbidity: +11.6%, FC: +15.2%; p < 0.05). Additional simulations conducted for the late 21st century (2090) revealed that climate change impacts could become equivalent to those modeled for land use for this horizon.

ACS Style

Ianis Delpla; Manuel J. Rodriguez. Effects of future climate and land use scenarios on riverine source water quality. Science of The Total Environment 2014, 493, 1014 -1024.

AMA Style

Ianis Delpla, Manuel J. Rodriguez. Effects of future climate and land use scenarios on riverine source water quality. Science of The Total Environment. 2014; 493 ():1014-1024.

Chicago/Turabian Style

Ianis Delpla; Manuel J. Rodriguez. 2014. "Effects of future climate and land use scenarios on riverine source water quality." Science of The Total Environment 493, no. : 1014-1024.

Journal article
Published: 18 July 2014 in International Journal of Environmental Research and Public Health
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The issue of drinking water quality compliance in small and medium scale water services is of paramount importance in relation to the 98/83/CE European Drinking Water Directive (DWD). Additionally, concerns are being expressed over the implementation of the DWD with respect to possible impacts on water quality from forecast changes in European climate with global warming and further anticipated reductions in north European acid emissions. Consequently, we have developed a decision support system (DSS) named ARTEM-WQ (AwaReness Tool for the Evaluation and Mitigation of drinking Water Quality issues resulting from environmental changes) to support decision making by small and medium plant operators and other water stakeholders. ARTEM-WQ is based on a sequential risk analysis approach that includes consideration of catchment characteristics, climatic conditions and treatment operations. It provides a holistic evaluation of the water system, while also assessing human health risks of organic contaminants potentially present in treated waters (steroids, pharmaceuticals, pesticides, bisphenol-a, polychlorobiphenyls, polycyclic aromatic hydrocarbons, petrochemical hydrocarbons and disinfection by-products; n = 109). Moreover, the system provides recommendations for improvement while supporting decision making in its widest context. The tool has been tested on various European catchments and shows a promising potential to inform water managers of risks and appropriate mitigative actions. Further improvements should include toxicological knowledge advancement, environmental background pollutant concentrations and the assessment of the impact of distribution systems on water quality variation.

ACS Style

Ianis Delpla; Donald T. Monteith; Chris Freeman; Joris Haftka; Joop Hermens; Timothy G. Jones; Estelle Baures; Aude-Valérie Jung; Olivier Thomas. A Decision Support System for Drinking Water Production Integrating Health Risks Assessment. International Journal of Environmental Research and Public Health 2014, 11, 7354 -7375.

AMA Style

Ianis Delpla, Donald T. Monteith, Chris Freeman, Joris Haftka, Joop Hermens, Timothy G. Jones, Estelle Baures, Aude-Valérie Jung, Olivier Thomas. A Decision Support System for Drinking Water Production Integrating Health Risks Assessment. International Journal of Environmental Research and Public Health. 2014; 11 (7):7354-7375.

Chicago/Turabian Style

Ianis Delpla; Donald T. Monteith; Chris Freeman; Joris Haftka; Joop Hermens; Timothy G. Jones; Estelle Baures; Aude-Valérie Jung; Olivier Thomas. 2014. "A Decision Support System for Drinking Water Production Integrating Health Risks Assessment." International Journal of Environmental Research and Public Health 11, no. 7: 7354-7375.

Journal article
Published: 01 April 2011 in Science of The Total Environment
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Since a rise in dissolved organic carbon (DOC) concentrations has been observed for surface waters at least over the last two decades, a change in weather conditions (temperature and precipitations) has been proposed to partly explain this increase. While the majority of DOC delivery from soils to stream occurs during rainfall events, a better understanding of the rainfall influence on DOC release is needed. This study has been conducted in Brittany, western France, on agricultural experimental plots receiving either cattle manure (CM) or pig slurry (PS) as fertilizers in accordance with local practices. Each plot was instrumented with a flow meter and an auto sampler for runoff measurements. The results show that export of DOC during high intensity events is higher than during lower intensity rainfalls. Fertilization has a noticeable impact on total organic carbon (TOC) fluxes with an increase of five to seven folds for PS and CM respectively. If TOC shock load occurs shortly after the rainfall peak, DOC maximum appears with the first flush of the event. Organic carbon (OC) is mainly under colloidal (41.2%) and soluble (23.9%) forms during the first stage of a rainfall event and a control of rainfall intensity on OC colloidal transport is suggested. These findings highlight the potential risk of receiving water quality degradation due to the increase of heavier rainfall events with climate change in temperate areas.

ACS Style

Ianis Delpla; Estelle Baurès; Aude-Valérie Jung; Olivier Thomas. Impacts of rainfall events on runoff water quality in an agricultural environment in temperate areas. Science of The Total Environment 2011, 409, 1683 -1688.

AMA Style

Ianis Delpla, Estelle Baurès, Aude-Valérie Jung, Olivier Thomas. Impacts of rainfall events on runoff water quality in an agricultural environment in temperate areas. Science of The Total Environment. 2011; 409 (9):1683-1688.

Chicago/Turabian Style

Ianis Delpla; Estelle Baurès; Aude-Valérie Jung; Olivier Thomas. 2011. "Impacts of rainfall events on runoff water quality in an agricultural environment in temperate areas." Science of The Total Environment 409, no. 9: 1683-1688.