Christian Ortiz-Lopez- PhD
- Research Professional at Université Laval
Christian Ortiz-Lopez
- PhD
- Research Professional at Université Laval
About
11
Publications
1,311
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
21
Citations
Introduction
I am currently a Research Professional at Université Laval, within the NSERC Drinking Water Research Chair in Québec, Canada.
My research interests are focused on modeling and management strategies in source water quality. I am also interested in the relationships between hydrology and water quality at source, hydroinformatics and applied machine learning, drinking water treatment and supply and urban water.
Current institution
Additional affiliations
April 2024 - present
January 2019 - December 2019
Escuela de Ingenieros Militares
Position
- Professor (Assistant)
July 2018 - January 2020
Education
January 2020 - December 2023
July 2012 - December 2015
January 2007 - June 2012
Publications
Publications (11)
Source and raw water quality may deteriorate due to rainfall and river flow events that occur in watersheds. The
effects on raw water quality are normally detected in drinking water treatment plants (DWTPs) with a time-lag
after these events in the watersheds. Early warning systems (EWSs) in DWTPs require models with high accuracy
in order to antic...
Rainfall and increased river flow can deteriorate raw water (RW) quality parameters such as turbidity and UV absorbance at 254 nm. This study aims to develop a methodology for integrating both time-lagged watershed rainfall and river flow data into machine learning models of the quality of RW supplying a drinking water treatment plant (DWTP). Spear...
Modelling source water quality in drinking water treatment systems could be useful for anticipating changes in specific raw water quality parameters. Those changes entail adjustments in drinking water treatment plant (DWTP) operations. Artificial intelligence (AI) has been used for modelling water quality for different purposes and has yielded reli...
The presence of particles and natural organic matter (NOM) in raw water (RW) is undesirable and require their removal by drinking water treatment plants (DWTPs). To ensure effective treatment, DWTPs usually monitor surrogate parameters such as turbidity (for particles) and UV254 absorbance (for NOM). Rainfall and subsequent river flow events in wat...
This thesis addresses the development of models and tools to model and predict raw water quality using hydrological and meteorological information.
Chapter 1: Critical literature review on machine learning models for surface water quality.
Chapter 2: Methodology for integrating time-lagged rainfall and flow data into machine learning models for r...
Particles and natural organic matter (NOM) are undesirable contaminants in raw water (RW) that must be removed by drinking water treatment plants (DWTP). To ensure effective treatment, DWTPs monitor surrogate parameters such as turbidity (for particles) and UV254 absorbance (for NOM). Rainfall and subsequent peak flow events in watersheds can lead...
HUMEDALES CONSTRUIDOS PARA LA RECUPERACIÓN DE HUMEDALES NATURALES EN CONTEXTOS URBANOS: Experiencias y Lecciones Aprendidas del Sistema Hídrico de Bogotá (Colombia)
Bogota Water and Sewerage Company is carrying out plans and works of ecological restoration in urban wetland ecosystems aimed to recovering its biotic, scenic and environmental functions. The most outstanding is the hydrogeomorphological reconfiguration to store bigger volumes of runoff water and to control the routing and storage of rises in water...
This document is the result of the research titled “Impact on Flood Control of Hydrogeomorphological Adaptation Projects in Bogotá Wetlands, Integrating Climate Change Scenarios. Case Study: Jaboque Wetland” developed as a thesis to obtain the degree of Master in Hydrosystems at Pontificia Universidad Javeriana, Bogotá campus. This research is fram...
