期刊检索

  • 2024年第56卷
  • 2023年第55卷
  • 2022年第54卷
  • 2021年第53卷
  • 2020年第52卷
  • 2019年第51卷
  • 2018年第50卷
  • 2017年第49卷
  • 2016年第48卷
  • 2015年第47卷
  • 2014年第46卷
  • 2013年第45卷
  • 2012年第44卷
  • 2011年第43卷
  • 2010年第42卷
  • 第1期
  • 第2期

主管单位 中华人民共和国
工业和信息化部
主办单位 哈尔滨工业大学 主编 李隆球 国际刊号ISSN 0367-6234 国内刊号CN 23-1235/T

期刊网站二维码
微信公众号二维码
引用本文:刘衍,慕凯凯,韩冰,张沫岩,鲍嘉阳,杨柳.城市局地气候分类的地表热岛效应[J].哈尔滨工业大学学报,2021,53(6):192.DOI:10.11918/201910120
LIU Yan,MU Kaikai,HAN Bing,ZHANG Moyan,BAO Jiayang,YANG Liu.Surface urban heat island effect of local climate zone[J].Journal of Harbin Institute of Technology,2021,53(6):192.DOI:10.11918/201910120
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  下载PDF阅读器  关闭
过刊浏览    高级检索
本文已被:浏览 1372次   下载 860 本文二维码信息
码上扫一扫!
分享到: 微信 更多
城市局地气候分类的地表热岛效应
刘衍1,2,慕凯凯1,2,韩冰1,2,张沫岩1,2,鲍嘉阳1,2,杨柳1,2
(1.西部绿色建筑国家重点实验室(西安建筑科技大学),西安 710055; 2.西安建筑科技大学 建筑学院,西安 710055)
摘要:
为研究城市形态和地表性质对城市地表热岛效应的影响,以西安市为例,基于Landsat8遥感影像和建筑矢量数据,采用局地气候分类(Local climate zone,LCZ)方法,对主城区进行LCZ划分.通过Landsat8遥感影像反演夏季地表温度,研究不同类型LCZ内地表温度的分布特征,同时选取14个地块分析地表热岛强度,通过计算建成区LCZ的城市形态参数分析城市形态对地表热岛效应的影响,采用的参数包括:建筑密度(Building surface fraction,BSF)、绿地率(Ratio of green space,GSP)以及下垫面粗糙度(Height of roughness elements,HRE).结果表明:建成区LCZ地表温度整体高于地表性质LCZ,但温度变化更稳定;建成区LCZ内,高密度的建筑区域地表温度高于低密度区域;地表性质LCZ内,水体温度最低,3种植被型LCZ地表温度低于其余两类LCZ,裸地温度最高;建成区LCZ地块内,高密度的高层建筑和较高的绿化率能够降低地表温度,缓解地表热岛强度;地表性质LCZ地块中水体和林地的地表热岛强度较低.在城市规划中合理的增加水体和绿化的布置,降低建筑密度同时在室外人流密集的区域设置遮阳设施将有利于缓解地表热岛效应.
关键词:  局地气候分类  地表热岛效应  城市形态  地表性质  地表温度
DOI:10.11918/201910120
分类号:TU14
文献标识码:A
基金项目:国家自然科学基金重点项目(51838011);国家自然科学基金青年项目(51808429);中国科协“青年人才托举工程”(2018QNRC001)
Surface urban heat island effect of local climate zone
LIU Yan1,2,MU Kaikai1,2,HAN Bing1,2,ZHANG Moyan1,2,BAO Jiayang1,2,YANG Liu1,2
(1.State Key Laboratory of Green Building in Western China (Xi’an University of Architecture and Technology), Xi’an 710055, China; 2.School of Architecture, Xi’an University of Architecture and Technology, Xi’an 710055, China)
Abstract:
To study the effects of urban form and land cover on the surface urban heat island (SUHI), by taking Xi’an as an example, local climate zone (LCZ) and land surface temperature (LST) inversion methods were employed to investigate the LST distribution of different types of LCZ based on the Landsat8 remote sensing and building vector data. Results show that the LST of the built-up LCZ was higher than that of the land cover LCZ, but the temperature variation of the built-up LCZ was more stable than that of the land cover LCZ. In built-up LCZ, LST increased with the increase of building density. In land cover LCZ, the LST of water was the lowest, while the LST of bare land was the highest, and LST of three types of vegetation LCZ were lower than those of other two types. LST and SUHI intensity of 14 samples were also calculated. Urban form indicators of built-up LCZ were introduced to analyze the effect of urban form on the SUHI, including building surface fraction (BSF), ratio of green space (GSP), and height of roughness elements (HRE). In built-up LCZ, high-rise buildings with high density and greening could reduce LST and alleviate the SUHI effect. SUHI intensities of water body and forest were lower than those in land cover LCZ types. SUHI effect could be alleviated by increasing water body and greening and reducing building density. The use of shading devices to reduce solar radiation could also mitigate the SUHI effect.
Key words:  local climate zone  surface urban heat island effect  urban form  land cover  land surface temperature

友情链接LINKS