Impacts of Urban land surface temperature on tract landscape pattern, physical and social variables

被引:20
|
作者
Zhou, Guoqing [1 ,2 ]
Wang, Haoyu [1 ,2 ]
Chen, Weirong [1 ]
Zhang, Guangyun [3 ]
Luo, Qingli [3 ]
Jia, Bin [1 ,2 ]
机构
[1] Guilin Univ Technol, Guangxi Key Lab Spatial Informat & Geomat Engn, 12 Jiangan Rd, Guilin 541004, Peoples R China
[2] Guilin Univ Technol, Coll Geomat & Geoinformat, Guilin, Peoples R China
[3] Tianjin Univ, Ctr Remote Sensing, Tianjin, Peoples R China
关键词
DIFFERENCE VEGETATION INDEX; HEAT-ISLAND; RADIATION BALANCE; COVER; NDVI; IMAGERY; WASHINGTON; DYNAMICS; TRENDS; MODEL;
D O I
10.1080/01431161.2019.1646939
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
This paper first focuses on the study of the relationship between the urban heat island (UHI) and the selected physical variables (percentage of urban surface covers, Normalized Difference Vegetation Index (NDVI)) and social variables (population density (PDEN)), and then concentrates on the study of the relationship between UHI and the landscape spatial geometric patterns. The researched results discover that urban Land Surface Temperature (LST) is not only impacted by land cover composition, i.e. land use/cover, which is expressed in this paper as the PURB (commerce/industry/transportation), but also its spatial geometric configuration, i.e. various landscape geometric pattern metrics, which in this paper are expressed by compositional percentage of landscape area (PLAND), configurational edge density (ED), patch density (PD), landscape shape index (LSI), clumpiness index (CI), and Shannon's diversity index (SHDI). The results show that the proportion of vegetation coverage out of a tract impacts its contribution to an entire UHI in Washington District of Columbia (DC), in particular, interspersing vegetation within a tract is capable of making a stronger mitigation effect to UHI than its concentrated form. Thus, a scatter spatial arrangement and distribution of vegetation is proposed to mitigate UHI effect.
引用
收藏
页码:683 / 703
页数:21
相关论文
共 50 条
  • [31] Impact of Urban Climate Landscape Patterns on Land Surface Temperature in Wuhan, China
    Wang, Yasha
    Zhan, Qingming
    Ouyang, Wanlu
    [J]. SUSTAINABILITY, 2017, 9 (10)
  • [32] Impact of urban morphology and landscape characteristics on spatiotemporal heterogeneity of land surface temperature
    Guo, Andong
    Yang, Jun
    Sun, Wei
    Xiao, Xiangming
    Cecilia, Jianhong Xia
    Jin, Cui
    Li, Xueming
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2020, 63
  • [33] Impacts of radiometric calibration on land surface temperature retrieval over urban areas
    Chen, Feng
    Lou, Shenlong
    Fan, Qiancong
    Yang, Song
    Wang, Cheng
    Li, Jonathan
    [J]. 2018 FIFTH INTERNATIONAL WORKSHOP ON EARTH OBSERVATION AND REMOTE SENSING APPLICATIONS (EORSA), 2018, : 138 - 141
  • [34] An urban heat island study in Nanchang City, China based on land surface temperature and social-ecological variables
    Zhang, Xinmin
    Estoque, Ronald C.
    Murayama, Yuji
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2017, 32 : 557 - 568
  • [35] Understanding the effects of the impervious surfaces pattern on land surface temperature in an urban area
    Qin NIE
    Jianhua XU
    [J]. Frontiers of Earth Science., 2015, 9 (02) - 285
  • [36] The influence of urban spatial pattern on land surface temperature for different functional zones
    Tong Li
    Jianfei Cao
    Mingxue Xu
    Quanyuan Wu
    Lei Yao
    [J]. Landscape and Ecological Engineering, 2020, 16 : 249 - 262
  • [37] The influence of urban spatial pattern on land surface temperature for different functional zones
    Li, Tong
    Cao, Jianfei
    Xu, Mingxue
    Wu, Quanyuan
    Yao, Lei
    [J]. LANDSCAPE AND ECOLOGICAL ENGINEERING, 2020, 16 (03) : 249 - 262
  • [38] Understanding the effects of the impervious surfaces pattern on land surface temperature in an urban area
    Qin Nie
    Jianhua Xu
    [J]. Frontiers of Earth Science, 2015, 9 : 276 - 285
  • [39] Understanding the effects of the impervious surfaces pattern on land surface temperature in an urban area
    Nie, Qin
    Xu, Jianhua
    [J]. FRONTIERS OF EARTH SCIENCE, 2015, 9 (02) : 276 - 285
  • [40] How many metrics are required to identify the effects of the landscape pattern on land surface temperature?
    Chen, Ailian
    Yao, Lei
    Sun, Ranhao
    Chen, Liding
    [J]. ECOLOGICAL INDICATORS, 2014, 45 : 424 - 433