Cargando…

Assessing the relationship between surface urban heat islands and landscape patterns across climatic zones in China

The urban heat island (UHI) effect exerts a great influence on the Earth’s environment and human health and has been the subject of considerable attention. Landscape patterns are among the most important factors relevant to surface UHIs (SUHIs); however, the relationship between SUHIs and landscape...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Qiquan, Huang, Xin, Li, Jiayi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5571207/
https://www.ncbi.nlm.nih.gov/pubmed/28839288
http://dx.doi.org/10.1038/s41598-017-09628-w
_version_ 1783259313014308864
author Yang, Qiquan
Huang, Xin
Li, Jiayi
author_facet Yang, Qiquan
Huang, Xin
Li, Jiayi
author_sort Yang, Qiquan
collection PubMed
description The urban heat island (UHI) effect exerts a great influence on the Earth’s environment and human health and has been the subject of considerable attention. Landscape patterns are among the most important factors relevant to surface UHIs (SUHIs); however, the relationship between SUHIs and landscape patterns is poorly understood over large areas. In this study, the surface UHI intensity (SUHII) is defined as the temperature difference between urban and suburban areas, and the landscape patterns are quantified by the urban-suburban differences in several typical landscape metrics (ΔLMs). Temperature and land-cover classification datasets based on satellite observations were applied to analyze the relationship between SUHII and ΔLMs in 332 cities/city agglomerations distributed in different climatic zones of China. The results indicate that SUHII and its correlations with ΔLMs are profoundly influenced by seasonal, diurnal, and climatic factors. The impacts of different land-cover types on SUHIs are different, and the landscape patterns of the built-up and vegetation (including forest, grassland, and cultivated land) classes have the most significant effects on SUHIs. The results of this study will help us to gain a deeper understanding of the relationship between the SUHI effect and landscape patterns.
format Online
Article
Text
id pubmed-5571207
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-55712072017-09-01 Assessing the relationship between surface urban heat islands and landscape patterns across climatic zones in China Yang, Qiquan Huang, Xin Li, Jiayi Sci Rep Article The urban heat island (UHI) effect exerts a great influence on the Earth’s environment and human health and has been the subject of considerable attention. Landscape patterns are among the most important factors relevant to surface UHIs (SUHIs); however, the relationship between SUHIs and landscape patterns is poorly understood over large areas. In this study, the surface UHI intensity (SUHII) is defined as the temperature difference between urban and suburban areas, and the landscape patterns are quantified by the urban-suburban differences in several typical landscape metrics (ΔLMs). Temperature and land-cover classification datasets based on satellite observations were applied to analyze the relationship between SUHII and ΔLMs in 332 cities/city agglomerations distributed in different climatic zones of China. The results indicate that SUHII and its correlations with ΔLMs are profoundly influenced by seasonal, diurnal, and climatic factors. The impacts of different land-cover types on SUHIs are different, and the landscape patterns of the built-up and vegetation (including forest, grassland, and cultivated land) classes have the most significant effects on SUHIs. The results of this study will help us to gain a deeper understanding of the relationship between the SUHI effect and landscape patterns. Nature Publishing Group UK 2017-08-24 /pmc/articles/PMC5571207/ /pubmed/28839288 http://dx.doi.org/10.1038/s41598-017-09628-w Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Yang, Qiquan
Huang, Xin
Li, Jiayi
Assessing the relationship between surface urban heat islands and landscape patterns across climatic zones in China
title Assessing the relationship between surface urban heat islands and landscape patterns across climatic zones in China
title_full Assessing the relationship between surface urban heat islands and landscape patterns across climatic zones in China
title_fullStr Assessing the relationship between surface urban heat islands and landscape patterns across climatic zones in China
title_full_unstemmed Assessing the relationship between surface urban heat islands and landscape patterns across climatic zones in China
title_short Assessing the relationship between surface urban heat islands and landscape patterns across climatic zones in China
title_sort assessing the relationship between surface urban heat islands and landscape patterns across climatic zones in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5571207/
https://www.ncbi.nlm.nih.gov/pubmed/28839288
http://dx.doi.org/10.1038/s41598-017-09628-w
work_keys_str_mv AT yangqiquan assessingtherelationshipbetweensurfaceurbanheatislandsandlandscapepatternsacrossclimaticzonesinchina
AT huangxin assessingtherelationshipbetweensurfaceurbanheatislandsandlandscapepatternsacrossclimaticzonesinchina
AT lijiayi assessingtherelationshipbetweensurfaceurbanheatislandsandlandscapepatternsacrossclimaticzonesinchina