Identifying times when water is unsafe for recreation, for drinking, or for aquatic life is a major challenge. Traditionally, sampling has been the preferred means of determining whether water is safe. Predictive modeling based on artificial intelligence (AI) is an approach that is becoming more and more popular.
In this article, we will instead focus on the legislation in place in Quebec to monitor overflows, as well as on the actions that can be taken to mitigate their impacts, taking into account the effects of climate change.
In October 2015, during the now famous Flushgate, the city of Montreal discharged eight billion liters of wastewater into the St. Lawrence River in order to carry out repairs on the sewer system. Through this article, I intend to provide answers to several questions concerning overflows, such as: “What are overflows?” and “What is their real impact on waterways in Quebec?”
A time series is a set of repeated measurements taken sequentially over time. The main purpose of time series analysis is to predict the future of a certain process based on what has happened in the past.
What factors can influence the concentration of fecal indicator bacteria (FIB) at a given location and time? The following is intended to provide an overview of the factors affecting the transport, survival and redistribution of FIB in surface waters.