The Cooling Effect of Urban Parks and Its Monthly Variations in a Snow Climate City
Urban parks have been shown to form park cool islands (PCIs), which can effectively alleviate the negative influences of urban heat islands (UHI). However, few studies have examined the detailed characteristics of PCIs, the effect of urban park features on their individual temperatures, and monthly...
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doaj-22abc0b684464b23a68241b561d583fe2020-11-24T20:49:02ZengMDPI AGRemote Sensing2072-42922017-10-01910106610.3390/rs9101066rs9101066The Cooling Effect of Urban Parks and Its Monthly Variations in a Snow Climate CityChaobin Yang0Xingyuan He1Lingxue Yu2Jiuchun Yang3Fengqin Yan4Kun Bu5Liping Chang6Shuwen Zhang7Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaUrban parks have been shown to form park cool islands (PCIs), which can effectively alleviate the negative influences of urban heat islands (UHI). However, few studies have examined the detailed characteristics of PCIs, the effect of urban park features on their individual temperatures, and monthly variation in PCIs. Land surface temperature (LST) retrieved from Landsat 8 TIR images between May and October were used to represent the thermal environment. Urban park characteristics were extracted from high-resolution GF-2 images. Using these datasets, the relationships between urban park characteristics and PCIs were explored in this study using Changchun, which has a snow climate, as a case study. The results showed the following: (1) the urban parks exhibited a cooling island effect, and the PCIs showed significant monthly variations with the highest intensities in the hot months; (2) the effects of composition (e.g., park size and the percentage of water area) on LSTs and PCIs showed significant monthly variability and were stronger than the configuration effects. Furthermore, an unexpected, negative correlation between PCIs and the area of park grass was also found; and (3) larger parks tended to have stronger PCI intensities and extents of influence. For parks larger than 30 ha, the cooling effects extended approximately 480 m from the park edge between June and August. For all of parks during the study duration, the rate of temperature increase was highest within 60 m from the park edge. The PCI we employ specifically in this study is characterized by LST.https://www.mdpi.com/2072-4292/9/10/1066urban parkscooling effectland surface temperaturemonthly variations |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chaobin Yang Xingyuan He Lingxue Yu Jiuchun Yang Fengqin Yan Kun Bu Liping Chang Shuwen Zhang |
spellingShingle |
Chaobin Yang Xingyuan He Lingxue Yu Jiuchun Yang Fengqin Yan Kun Bu Liping Chang Shuwen Zhang The Cooling Effect of Urban Parks and Its Monthly Variations in a Snow Climate City Remote Sensing urban parks cooling effect land surface temperature monthly variations |
author_facet |
Chaobin Yang Xingyuan He Lingxue Yu Jiuchun Yang Fengqin Yan Kun Bu Liping Chang Shuwen Zhang |
author_sort |
Chaobin Yang |
title |
The Cooling Effect of Urban Parks and Its Monthly Variations in a Snow Climate City |
title_short |
The Cooling Effect of Urban Parks and Its Monthly Variations in a Snow Climate City |
title_full |
The Cooling Effect of Urban Parks and Its Monthly Variations in a Snow Climate City |
title_fullStr |
The Cooling Effect of Urban Parks and Its Monthly Variations in a Snow Climate City |
title_full_unstemmed |
The Cooling Effect of Urban Parks and Its Monthly Variations in a Snow Climate City |
title_sort |
cooling effect of urban parks and its monthly variations in a snow climate city |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2017-10-01 |
description |
Urban parks have been shown to form park cool islands (PCIs), which can effectively alleviate the negative influences of urban heat islands (UHI). However, few studies have examined the detailed characteristics of PCIs, the effect of urban park features on their individual temperatures, and monthly variation in PCIs. Land surface temperature (LST) retrieved from Landsat 8 TIR images between May and October were used to represent the thermal environment. Urban park characteristics were extracted from high-resolution GF-2 images. Using these datasets, the relationships between urban park characteristics and PCIs were explored in this study using Changchun, which has a snow climate, as a case study. The results showed the following: (1) the urban parks exhibited a cooling island effect, and the PCIs showed significant monthly variations with the highest intensities in the hot months; (2) the effects of composition (e.g., park size and the percentage of water area) on LSTs and PCIs showed significant monthly variability and were stronger than the configuration effects. Furthermore, an unexpected, negative correlation between PCIs and the area of park grass was also found; and (3) larger parks tended to have stronger PCI intensities and extents of influence. For parks larger than 30 ha, the cooling effects extended approximately 480 m from the park edge between June and August. For all of parks during the study duration, the rate of temperature increase was highest within 60 m from the park edge. The PCI we employ specifically in this study is characterized by LST. |
topic |
urban parks cooling effect land surface temperature monthly variations |
url |
https://www.mdpi.com/2072-4292/9/10/1066 |
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