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Novel Sensing Technology and Mesoscale Modelling Approaches for Meteorological Investigations over a Mining Facility

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Title: Novel Sensing Technology and Mesoscale Modelling Approaches for Meteorological Investigations over a Mining Facility
Author: Nazem, Amir
Department: School of Engineering
Program: Engineering
Advisor: Aliabadi, Amir A.
Abstract: This thesis investigates two distinctive experimental and numerical approaches to study meteorological dynamics over a complex open-pit mining facility in northern Canada. In the first approach, a novel airborne sensing instrument capable of measuring vertical profiles of atmospheric boundary layer variables, such as temperature, wind velocity components, pressure, and relative humidity, is designed, tested, and calibrated in a wind tunnel. The instrument is then successfully operated in an environmental field campaign measuring meteorological dynamics over the mining facility in May 2018. In the second approach, a numerical weather prediction system, Weather and Research Forecast (WRF) model, is adapted with topographical and land use changes over the mining facility to simulate meteorological dynamics over the mining facility. The adaptation of the WRF model for this application is novel and resulted in better numerical predictions of meteorological dynamics over the mining facility. This thesis makes a contribution toward better understanding of meteorological processes over open-pit mining facilities using new experimental and numerical methodologies.
URI: http://hdl.handle.net/10214/17370
Date: 2019-09-04
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
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Attribution-NonCommercial-NoDerivatives 4.0 International Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International