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This research project focuses on understanding climate change’s effects on air quality and human health. It acknowledges that exposure to chemical and physical stressors also increases as extreme environmental events (like heatwaves, floods, droughts, …) become more frequent. This could potentially lead to new adverse health impacts or amplify existing ones.
The project’s primary objective is to develop a method to monitor and predict the spatiotemporal dynamics of environmental health at a local scale, using a combination of high-performance multimodal sensors and low-cost mobile sensors. Data processing algorithms will be applied to correct inaccuracies, interpolate data, and predict environmental conditions over time and space scales.
The project’s first phase focuses on developing the multimodal sensors station. This will be the goal of an internship at the Interdisciplinary Institute for Technological Innovation (3IT) at Université de Sherbrooke. The internship will involve developing and deploying portable multimodal instrumentation for collecting and monitoring the physicochemical parameters of a given region. Over the course of the 24-week internship, a series of sensors will be controlled to monitor environmental parameters such as temperature, relative humidity, COV, particulate matter (PM1, PM2.5, PM10), odor, and sounds. The sensor station will then be tested in several controlled environments.
Denis Machon
Université Paris-Saclay
Engineering
Education
Université de Sherbrooke
Globalink Research Award
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