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利用地方气候区分类进行季节性 SUHI 分析:以中国武汉为例。

Seasonal SUHI Analysis Using Local Climate Zone Classification: A Case Study of Wuhan, China.

机构信息

College of Resources and Environmental Sciences, Henan Agricultural University, Zhengzhou 450002, China.

Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China.

出版信息

Int J Environ Res Public Health. 2021 Jul 6;18(14):7242. doi: 10.3390/ijerph18147242.

DOI:10.3390/ijerph18147242
PMID:34299692
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8306924/
Abstract

The surface urban heat island (SUHI) effect poses a significant threat to the urban environment and public health. This paper utilized the Local Climate Zone (LCZ) classification and land surface temperature (LST) data to analyze the seasonal dynamics of SUHI in Wuhan based on the Google Earth Engine platform. In addition, the SUHI intensity derived from the traditional urban-rural dichotomy was also calculated for comparison. Seasonal SUHI analysis showed that (1) both LCZ classification and the urban-rural dichotomy confirmed that Wuhan's SHUI effect was the strongest in summer, followed by spring, autumn and winter; (2) the maximum SUHI intensity derived from LCZ classification reached 6.53 °C, which indicated that the SUHI effect was very significant in Wuhan; (3) LCZ 8 (i.e., large low-rise) had the maximum LST value and LCZ G (i.e., water) had the minimum LST value in all seasons; (4) the LST values of compact high-rise/midrise/low-rise (i.e., LCZ 1-3) were higher than those of open high-rise/midrise/low-rise (i.e., LCZ 4-6) in all seasons, which indicated that building density had a positive correlation with LST; (5) the LST values of dense trees (i.e., LCZ A) were less than those of scattered trees (i.e., LCZ B) in all seasons, which indicated that vegetation density had a negative correlation with LST. This paper provides some useful information for urban planning and contributes to the healthy and sustainable development of Wuhan.

摘要

城市地表热岛(SUHI)效应给城市环境和公众健康带来了重大威胁。本研究利用局部气候区(LCZ)分类和地表温度(LST)数据,基于谷歌地球引擎平台分析了武汉市的季节性 SUHI 动态。此外,还计算了传统城乡二分法得出的 SUHI 强度进行对比。季节性 SUHI 分析表明:(1)LCZ 分类和城乡二分法均证实,武汉的热岛效应夏季最强,其次是春季、秋季和冬季;(2)LCZ 分类得出的最大 SUHI 强度达到 6.53°C,表明武汉的热岛效应非常显著;(3)在所有季节中,LCZ 8(即大型低层)的 LST 值最大,LCZ G(即水体)的 LST 值最小;(4)在所有季节中,紧凑的高层/中层/低层(即 LCZ 1-3)的 LST 值均高于开放的高层/中层/低层(即 LCZ 4-6),表明建筑密度与 LST 呈正相关;(5)在所有季节中,密植树(即 LCZ A)的 LST 值均小于疏植树(即 LCZ B),表明植被密度与 LST 呈负相关。本研究为城市规划提供了一些有用的信息,有助于武汉的健康和可持续发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12c2/8306924/a018a7983aec/ijerph-18-07242-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12c2/8306924/a1e0e7914cba/ijerph-18-07242-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12c2/8306924/ca186eb2092b/ijerph-18-07242-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12c2/8306924/eb7c90248be8/ijerph-18-07242-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12c2/8306924/74bac79f394a/ijerph-18-07242-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12c2/8306924/a018a7983aec/ijerph-18-07242-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12c2/8306924/a1e0e7914cba/ijerph-18-07242-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12c2/8306924/ca186eb2092b/ijerph-18-07242-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12c2/8306924/eb7c90248be8/ijerph-18-07242-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12c2/8306924/74bac79f394a/ijerph-18-07242-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12c2/8306924/a018a7983aec/ijerph-18-07242-g005.jpg

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本文引用的文献

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Examining seasonal effect of urban heat island in a coastal city.探讨沿海城市城市热岛的季节性效应。
PLoS One. 2019 Jun 14;14(6):e0217850. doi: 10.1371/journal.pone.0217850. eCollection 2019.
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Synergies between Urban Heat Island and Heat Waves in Athens (Greece), during an extremely hot summer (2012).
雅典(希腊)极热夏季(2012 年)城市热岛与热浪之间的协同作用。
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