Examining seasonal effect of urban heat island in a coastal city.

Urban heat islands (UHIs) have a significant and negative impact on the urban ecological environment and on human health, and it is imperative to examine factors that lead to UHIs. Although numerous studies have been conducted in this field, little research has considered seasonal variations in UHIs...

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Main Authors: Xiangli Wu, Lin Zhang, Shuying Zang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0217850
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spelling doaj-2bb3f7e628ae426086805cc3eea7996c2021-03-03T20:37:45ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01146e021785010.1371/journal.pone.0217850Examining seasonal effect of urban heat island in a coastal city.Xiangli WuLin ZhangShuying ZangUrban heat islands (UHIs) have a significant and negative impact on the urban ecological environment and on human health, and it is imperative to examine factors that lead to UHIs. Although numerous studies have been conducted in this field, little research has considered seasonal variations in UHIs in coastal cities. Moreover, parametric statistical analyses, such as regression and correlation analyses, have been typically applied to examine the influential factors. Such analyses are flawed because they cannot uncover the complicated relationships between UHIs and their factors. Taking Dalian, a coastal city in China, as an example, this paper reveals the dynamic mechanism of the UHI effect for different seasons using the cubist regression tree algorithm. Analyses suggest that the UHI effect only exists in spring and summer, and no obvious UHIs can be found in autumn and winter. The adjacency to the sea leads to moderate UHI effects in spring and summer and no UHI or urban cooling island (UCI) effects in autumn and winter. The distance to the coastline, however, does not play a role in the UHI effect. Furthermore, as one of the most important factors, the vegetation coverage plays a significant role in the UHI effect in spring and summer and significantly mediates the UHI in autumn and winter. Comparatively, the elevation (e.g., digital elevation models (DEMs)) is consistently negatively associated with the land surface temperature in all seasons, although a stronger relationship was found in spring and summer. In addition, the surface slope is also a significant factor in spring and winter, and the population density impacts the UHI distribution in summer as well.https://doi.org/10.1371/journal.pone.0217850
collection DOAJ
language English
format Article
sources DOAJ
author Xiangli Wu
Lin Zhang
Shuying Zang
spellingShingle Xiangli Wu
Lin Zhang
Shuying Zang
Examining seasonal effect of urban heat island in a coastal city.
PLoS ONE
author_facet Xiangli Wu
Lin Zhang
Shuying Zang
author_sort Xiangli Wu
title Examining seasonal effect of urban heat island in a coastal city.
title_short Examining seasonal effect of urban heat island in a coastal city.
title_full Examining seasonal effect of urban heat island in a coastal city.
title_fullStr Examining seasonal effect of urban heat island in a coastal city.
title_full_unstemmed Examining seasonal effect of urban heat island in a coastal city.
title_sort examining seasonal effect of urban heat island in a coastal city.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2019-01-01
description Urban heat islands (UHIs) have a significant and negative impact on the urban ecological environment and on human health, and it is imperative to examine factors that lead to UHIs. Although numerous studies have been conducted in this field, little research has considered seasonal variations in UHIs in coastal cities. Moreover, parametric statistical analyses, such as regression and correlation analyses, have been typically applied to examine the influential factors. Such analyses are flawed because they cannot uncover the complicated relationships between UHIs and their factors. Taking Dalian, a coastal city in China, as an example, this paper reveals the dynamic mechanism of the UHI effect for different seasons using the cubist regression tree algorithm. Analyses suggest that the UHI effect only exists in spring and summer, and no obvious UHIs can be found in autumn and winter. The adjacency to the sea leads to moderate UHI effects in spring and summer and no UHI or urban cooling island (UCI) effects in autumn and winter. The distance to the coastline, however, does not play a role in the UHI effect. Furthermore, as one of the most important factors, the vegetation coverage plays a significant role in the UHI effect in spring and summer and significantly mediates the UHI in autumn and winter. Comparatively, the elevation (e.g., digital elevation models (DEMs)) is consistently negatively associated with the land surface temperature in all seasons, although a stronger relationship was found in spring and summer. In addition, the surface slope is also a significant factor in spring and winter, and the population density impacts the UHI distribution in summer as well.
url https://doi.org/10.1371/journal.pone.0217850
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