基于遥感数据的常州市热岛效应分析

武文昊,王新杰,黄瑞芬

南京林业大学学报(自然科学版) ›› 2017, Vol. 41 ›› Issue (05) : 185-190.

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南京林业大学学报(自然科学版) ›› 2017, Vol. 41 ›› Issue (05) : 185-190. DOI: 10.3969/j.issn.1000-2006.201607005
研究简报

基于遥感数据的常州市热岛效应分析

  • 武文昊1,王新杰2*,黄瑞芬3
作者信息 +

Study on urban heat islands in Changzhou City based on remote sensing data

  • WU Wenhao1,WANG Xinjie2*,HUANG Ruifen3
Author information +
文章历史 +

摘要

【目的】对常州市近30年热岛变化特征进行分析,并且分析城市热岛强度与植被、水体以及其他土地覆盖类型之间的关系。【方法】以整个常州市为研究对象,利用Artis&Camahan 的辐射校正温度反演法进行了地表温度反演,分析了常州市1988—2014年的城市热岛效应及空间变化。【结果】常州市在近30年来城市热岛范围,城区主要热岛区域与建成区保持一致,大量的人工下垫面、高密度建筑等扩张,造成高温区逐渐增多,热岛效应也越来越明显。【结论】常州市的热岛分布特征与常州市的土地利用类型有较好的一致性。低温区主要集中在植被和水体的区域,植被能够有效地起到降温的作用。

Abstract

【Objective】Analyze nearly three decades Heat Island Changes feature in Changzhou City,and understand the relationship between urban heat island intensity covered with vegetation,water and other land types. 【Method】In this paper, we used the remote sensing technology to extract each heat island area of four images for Changzhou. We studied on the whole Changzhou area using the Artis & Camahan radiation calibration temperature inversion method for the surface temperature inversion,and researched on the urban heat island effect and spatial change of 1988—2014 in Changzhou. 【Result】In the past three decades in Changzhou,the urban heat island region is consistent with the built-up area,a lot of natural city underlying surface has been destructed,instead,the artificial building underlying surface is revealed which resulting in high temperature gradually increased and the urban heat island is becoming more and more obvious. 【Conclusion】Heat island distribution characteristics has a better correlation with the land utility type in Changzhou. Low temperature areas are mainly concentrated in the vegetation and water area,vegetation can play the role of cooling down the temperature.

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导出引用
武文昊,王新杰,黄瑞芬. 基于遥感数据的常州市热岛效应分析[J]. 南京林业大学学报(自然科学版). 2017, 41(05): 185-190 https://doi.org/10.3969/j.issn.1000-2006.201607005
WU Wenhao,WANG Xinjie,HUANG Ruifen. Study on urban heat islands in Changzhou City based on remote sensing data[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2017, 41(05): 185-190 https://doi.org/10.3969/j.issn.1000-2006.201607005
中图分类号: TP79   

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基金

基金项目:中央高校基本科研业务费专项基金资助(JO2010-2) 第一作者:武文昊(19881210wwh@sina.com),工程师。*通信作者:王新杰(xinjiew@bjfu.edu.cn),副教授。

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