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Time Series Analysis and Statistical Model Development for Food and Water Availability in the Grand River Watershed

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dc.contributor.advisor Binns, Andrew
dc.contributor.advisor Singh, Ashutosh
dc.contributor.author McNeill, Kelsie
dc.date.accessioned 2018-08-31T16:17:11Z
dc.date.available 2018-08-31T16:17:11Z
dc.date.copyright 2018-08
dc.date.created 2018-08-07
dc.date.issued 2018-08-31
dc.identifier.uri http://hdl.handle.net/10214/14145
dc.description.abstract Imminent threats of climate change, population growth and associated anthropogenic impacts can have severe implications for food and water resources around the globe. In order to properly manage these resources in the future, it is necessary to understand how they are influenced by stressors. This thesis characterizes recent, historical trends for food and water availability within the Southern Ontario Grand River Watershed (GRW). It then discusses the implications of trends for local food and water security and develops a statistical framework to model crop production in the GRW. The results of this thesis suggest that aspects of water security such as flood control, infrastructure protection and water quality may be threatened by future anthropogenic and environmental changes. Recent fluctuations in climatic patterns and a potential increase in frequency of extreme weather events could also cause periodic issues with crop production and affect the sustainability of current production growth trends. en_US
dc.language.iso en en_US
dc.subject Food availability en_US
dc.subject Water availability en_US
dc.subject Grand River Watershed en_US
dc.subject Sustainability en_US
dc.subject Anthropogenic changes en_US
dc.title Time Series Analysis and Statistical Model Development for Food and Water Availability in the Grand River Watershed en_US
dc.type Thesis en_US
dc.degree.programme Engineering en_US
dc.degree.name Master of Applied Science en_US
dc.degree.department School of Engineering en_US
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