Urban Warming of the Two Most Populated Cities in the Canadian Province of Alberta, and Its Influencing Factors

Continuous urban expansion transforms the natural land cover into impervious surfaces across the world. It increases the city’s thermal intensity that impacts the local climate, thus, warming the urban environment. Surface urban heat island (SUHI) is an indicator of quantifying such local urban warm...

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Published in:Sensors
Main Authors: Ifeanyi R. Ejiagha, M. Razu Ahmed, Ashraf Dewan, Anil Gupta, Elena Rangelova, Quazi K. Hassan
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2022
Subjects:
Online Access:https://doi.org/10.3390/s22082894
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spelling ftmdpi:oai:mdpi.com:/1424-8220/22/8/2894/ 2023-08-20T04:05:00+02:00 Urban Warming of the Two Most Populated Cities in the Canadian Province of Alberta, and Its Influencing Factors Ifeanyi R. Ejiagha M. Razu Ahmed Ashraf Dewan Anil Gupta Elena Rangelova Quazi K. Hassan 2022-04-09 application/pdf https://doi.org/10.3390/s22082894 EN eng Multidisciplinary Digital Publishing Institute Remote Sensors https://dx.doi.org/10.3390/s22082894 https://creativecommons.org/licenses/by/4.0/ Sensors; Volume 22; Issue 8; Pages: 2894 built-up land surface temperature (LST) local warming spaceborne remote sensing surface urban heat island (SUHI) Text 2022 ftmdpi https://doi.org/10.3390/s22082894 2023-08-01T04:42:46Z Continuous urban expansion transforms the natural land cover into impervious surfaces across the world. It increases the city’s thermal intensity that impacts the local climate, thus, warming the urban environment. Surface urban heat island (SUHI) is an indicator of quantifying such local urban warming. In this study, we quantified SUHI for the two most populated cities in Alberta, Canada, i.e., the city of Calgary and the city of Edmonton. We used the moderate resolution imaging spectroradiometer (MODIS) acquired land surface temperature (LST) to estimate the day and nighttime SUHI and its trends during 2001–2020. We also performed a correlation analysis between SUHI and selected seven influencing factors, such as urban expansion, population, precipitation, and four large-scale atmospheric oscillations, i.e., Sea Surface Temperature (SST), Pacific North America (PNA), Pacific Decadal Oscillation (PDO), and Arctic Oscillation (AO). Our results indicated a continuous increase in the annual day and nighttime SUHI values from 2001 to 2020 in both cities, with a higher magnitude found for Calgary. Moreover, the highest value of daytime SUHI was observed in July for both cities. While significant warming trends of SUHI were noticed in the annual daytime for the cities, only Calgary showed it in the annual nighttime. The monthly significant warming trends of SUHI showed an increasing pattern during daytime in June, July, August, and September in Calgary, and March and September in Edmonton. Here, only Calgary showed the nighttime significant warming trends in March, May, and August. Further, our correlation analysis indicated that population and built-up expansion were the main factors that influenced the SUHI in the cities during the study period. Moreover, SST indicated an acceptable relationship with SUHI in Edmonton only, while PDO, PNA, and AO did not show any relation in either of the two cities. We conclude that population, built-up size, and landscape pattern could better explain the variations of the SUHI ... Text Arctic MDPI Open Access Publishing Arctic Canada Pacific Sensors 22 8 2894
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic built-up
land surface temperature (LST)
local warming
spaceborne remote sensing
surface urban heat island (SUHI)
spellingShingle built-up
land surface temperature (LST)
local warming
spaceborne remote sensing
surface urban heat island (SUHI)
Ifeanyi R. Ejiagha
M. Razu Ahmed
Ashraf Dewan
Anil Gupta
Elena Rangelova
Quazi K. Hassan
Urban Warming of the Two Most Populated Cities in the Canadian Province of Alberta, and Its Influencing Factors
topic_facet built-up
land surface temperature (LST)
local warming
spaceborne remote sensing
surface urban heat island (SUHI)
description Continuous urban expansion transforms the natural land cover into impervious surfaces across the world. It increases the city’s thermal intensity that impacts the local climate, thus, warming the urban environment. Surface urban heat island (SUHI) is an indicator of quantifying such local urban warming. In this study, we quantified SUHI for the two most populated cities in Alberta, Canada, i.e., the city of Calgary and the city of Edmonton. We used the moderate resolution imaging spectroradiometer (MODIS) acquired land surface temperature (LST) to estimate the day and nighttime SUHI and its trends during 2001–2020. We also performed a correlation analysis between SUHI and selected seven influencing factors, such as urban expansion, population, precipitation, and four large-scale atmospheric oscillations, i.e., Sea Surface Temperature (SST), Pacific North America (PNA), Pacific Decadal Oscillation (PDO), and Arctic Oscillation (AO). Our results indicated a continuous increase in the annual day and nighttime SUHI values from 2001 to 2020 in both cities, with a higher magnitude found for Calgary. Moreover, the highest value of daytime SUHI was observed in July for both cities. While significant warming trends of SUHI were noticed in the annual daytime for the cities, only Calgary showed it in the annual nighttime. The monthly significant warming trends of SUHI showed an increasing pattern during daytime in June, July, August, and September in Calgary, and March and September in Edmonton. Here, only Calgary showed the nighttime significant warming trends in March, May, and August. Further, our correlation analysis indicated that population and built-up expansion were the main factors that influenced the SUHI in the cities during the study period. Moreover, SST indicated an acceptable relationship with SUHI in Edmonton only, while PDO, PNA, and AO did not show any relation in either of the two cities. We conclude that population, built-up size, and landscape pattern could better explain the variations of the SUHI ...
format Text
author Ifeanyi R. Ejiagha
M. Razu Ahmed
Ashraf Dewan
Anil Gupta
Elena Rangelova
Quazi K. Hassan
author_facet Ifeanyi R. Ejiagha
M. Razu Ahmed
Ashraf Dewan
Anil Gupta
Elena Rangelova
Quazi K. Hassan
author_sort Ifeanyi R. Ejiagha
title Urban Warming of the Two Most Populated Cities in the Canadian Province of Alberta, and Its Influencing Factors
title_short Urban Warming of the Two Most Populated Cities in the Canadian Province of Alberta, and Its Influencing Factors
title_full Urban Warming of the Two Most Populated Cities in the Canadian Province of Alberta, and Its Influencing Factors
title_fullStr Urban Warming of the Two Most Populated Cities in the Canadian Province of Alberta, and Its Influencing Factors
title_full_unstemmed Urban Warming of the Two Most Populated Cities in the Canadian Province of Alberta, and Its Influencing Factors
title_sort urban warming of the two most populated cities in the canadian province of alberta, and its influencing factors
publisher Multidisciplinary Digital Publishing Institute
publishDate 2022
url https://doi.org/10.3390/s22082894
geographic Arctic
Canada
Pacific
geographic_facet Arctic
Canada
Pacific
genre Arctic
genre_facet Arctic
op_source Sensors; Volume 22; Issue 8; Pages: 2894
op_relation Remote Sensors
https://dx.doi.org/10.3390/s22082894
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/s22082894
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