2019 CSCE Annual Conference - Laval (Greater Montreal)

2019 CSCE Annual Conference - Laval (Greater Montreal) Conference


Title
GEOGRAPHIC INFORMATION SYSTEMS AND REMOTE SENSING METHODS TO EVALUATE WASTE MANAGEMENT REGIONS IN NOVA SCOTIA

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Author(s)
Ms. Amy Richter, University of Regina
Mr. Damien Bolingbroke, University of Regina
Dr. Kelvin T. W. Ng, University of Regina (Presenter)
Abstract

The average Nova Scotian generated 682 kg of non-hazardous waste in 2014 and diverted 43.4%; while the average Canadian generated 961 kg/cap in 2014, and only diverted 26.5%. GIS (Geographic Information Systems) approaches have been widely used to site waste conversion facilities and landfills and remote sensing (RS) may help to further facilitate data-driven landfill siting. As a result, GIS and RS techniques can be integrated and used to assess the location of current landfills in relation to infrastructure, population and other biophysical indicators. The objectives of this study are to: (i) gather and combine vector data (road network, population location, and waste facility location) with RS indices (vegetation, built-up area, and moisture) in a GIS, and (ii) rank and assess Nova Scotia’s seven waste management regions based on a normalized ranking classification. The GIS-based approach will combine vector data with RS data using ArcGIS Zonal Statistics and other vector analysis tools to provide a ranked map of each of Nova Scotia’s seven waste management regions. The analysis revealed that 26.7% of the province ranked well in terms of the environmental impact of solid waste management, while 38.5% ranked moderately, and 34.8% ranked poorly. It is believed that this research will provide information planners and policy makers in provinces that are moving towards regionalization of waste management facilities.