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Modeling and Clustering of Climate C...

Adenuga, Alex,

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Modeling and Clustering of Climate Change Variables in Canada /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modeling and Clustering of Climate Change Variables in Canada // Alex Adenuga.
Author:	Adenuga, Alex,
Description:	1 electronic resource (107 pages)
Notes:	Source: Masters Abstracts International, Volume: 86-07.
Contained By:	Masters Abstracts International86-07.
Subject:	Statistics. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31769483
ISBN:	9798302176684

Modeling and Clustering of Climate Change Variables in Canada /
Adenuga, Alex,

Modeling and Clustering of Climate Change Variables in Canada /Alex Adenuga. - 1 electronic resource (107 pages)

Source: Masters Abstracts International, Volume: 86-07.

Climate change is a global challenge with profound environmental, health, and socio-economic implications. Canada's diverse geography offers a unique lens to study localized climate trends. This thesis models and clusters climate variables, focusing on temperature trends, using Bayesian hierarchical models and clustering techniques to uncover regional patterns and health impacts.Three decades of hourly temperature data from the Meteorological Service of Canada were split into 18 annual parts to capture seasonal variations. Metrics like mean, minimum, and extreme temperatures were analyzed. Bayesian models revealed regional variability, with examples of British Columbia and the Northern regions exhibiting notable trends.Clustering identified regional dependencies and linked temperature trends with morbidity and mortality risks from air pollutants (PM2.5, O3). Summer risks stemmed from O3, while winter risks were PM2.5 driven. Findings highlight the need for region-specific strategies, offering actionable insights for policy makers addressing climate-health linkages.

English

ISBN: 9798302176684Subjects--Topical Terms:

517247
Statistics.
Subjects--Index Terms:

Bayesian models

Modeling and Clustering of Climate Change Variables in Canada /
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500 $a Advisors: Burr, Wesley Committee members: Shin, Hwashin H.; Takahara, Glen.
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520 $a Climate change is a global challenge with profound environmental, health, and socio-economic implications. Canada's diverse geography offers a unique lens to study localized climate trends. This thesis models and clusters climate variables, focusing on temperature trends, using Bayesian hierarchical models and clustering techniques to uncover regional patterns and health impacts.Three decades of hourly temperature data from the Meteorological Service of Canada were split into 18 annual parts to capture seasonal variations. Metrics like mean, minimum, and extreme temperatures were analyzed. Bayesian models revealed regional variability, with examples of British Columbia and the Northern regions exhibiting notable trends.Clustering identified regional dependencies and linked temperature trends with morbidity and mortality risks from air pollutants (PM2.5, O3). Summer risks stemmed from O3, while winter risks were PM2.5 driven. Findings highlight the need for region-specific strategies, offering actionable insights for policy makers addressing climate-health linkages.
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653 $a Clustering
653 $a Temperature trends
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