Is 3D building morphology really related to land surface temperature? Insights from a new homogeneous unit

被引:1
作者
Yang, Ling [1 ,2 ,3 ]
Chen, Yang [1 ,2 ,3 ]
Li, Yue [4 ]
Zhu, Hui [1 ,2 ,3 ]
Yang, Xin [1 ,2 ,3 ]
Li, Sijin [1 ,2 ,3 ]
Tang, Guoan [1 ,2 ,3 ]
机构
[1] Nanjing Normal Univ, Sch Geog, Nanjing 210023, Peoples R China
[2] Nanjing Normal Univ, Key Lab Virtual Geog Environm, Minist Educ, Nanjing, Peoples R China
[3] Nanjing Normal Univ, Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China
[4] Prov Geomatics Ctr Jiangsu, Nanjing 210023, Peoples R China
基金
中国国家自然科学基金;
关键词
3D building morphology; Land surface temperature; Spatial unit; Spatial scale; MAUP; URBAN HEAT-ISLAND;
D O I
10.1016/j.buildenv.2024.112101
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Exploring the effect of building morphology on land surface temperature (LST) has received surging attention. In this process, a fundamental precondition is selecting an appropriate spatial statistical unit to calculate building morphological indices and corresponding LST. However, different units lead to divergent results, indicating they inevitably suffer from the Modifiable Areal Unit Problem (MAUP), which brings large uncertainties. This study places special emphasis on proposing a new spatial unit, the Homogenous Unit of Building Morphology (HUBM), to re-describe building morphology and re-analyze its effect on LST with less uncertainty. Results show: (1) building morphology portrayed by HUBM maintains more spatial characteristics and remains relatively stable across scales, which is more consistent with the realistic building environment. (2) The relationship identified by HUBM shows building morphology is not strongly correlated with LST in essence and is regarded as more authentic due to the more objective portrayal of building morphology, while this relationship may be overestimated by previous common units. (3) The effect of building morphology on LST explored by HUBM also remains relatively stable across different scales (R-2 fluctuation amplitude of 0.08, 0.12, and 0.08 in the spring, summer, and winter, respectively) compared to regular grids (R-2 fluctuation amplitude of 0.18, 0.2, and 0.2), effectively alleviating the uncertainty associated with the MAUP. These findings provide new insights into re-examining the authentic effect of building morphology on LST, assisting in addressing urban heat island effects and promoting sustainable urban development. Moreover, HUBM can be applicable to other urban issues for mitigating MAUP.
引用
收藏
页数:15
相关论文
共 62 条
  • [51] Quantifying the influence of 2D and 3D urban morphology on the thermal environment across climatic zones
    Wu, Wan-Ben
    Yu, Zhao-Wu
    Ma, Jun
    Zhao, Bin
    [J]. LANDSCAPE AND URBAN PLANNING, 2022, 226
  • [52] Assessing the impact of urban morphological parameters on land surface temperature in the heat aggregation areas with spatial heterogeneity: A case study of Nanjing
    Wu, Zihao
    Tong, Ziyu
    Wang, Mingzhu
    Long, Qianhui
    [J]. BUILDING AND ENVIRONMENT, 2023, 235
  • [53] The impacts of landscape patterns spatio-temporal changes on land surface temperature from a multi-scale perspective: A case study of the Yangtze River Delta
    Xiao, Rui
    Cao, Wei
    Liu, Yue
    Lu, Binbin
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 821
  • [54] Urban morphological regionalization based on 3D building blocks-A case in the central area of Chengdu, China
    Yang, Ling
    Yang, Xin
    Zhang, Haiping
    Ma, Junfei
    Zhu, Hui
    Huang, Xu
    [J]. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2022, 94
  • [55] The Impacts of the Modifiable Areal Unit Problem (MAUP) on Omission Error
    Ye, Xiang
    Rogerson, Peter
    [J]. GEOGRAPHICAL ANALYSIS, 2022, 54 (01) : 32 - 57
  • [56] Split-Window Algorithm for Land Surface Temperature Retrieval From Landsat-9 Remote Sensing Images
    Ye, Xin
    Ren, Huazhong
    Zhu, Jinshun
    Fan, Wenjie
    Qin, Qiming
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [57] Effects of urban form on the urban heat island effect based on spatial regression model
    Yin, Chaohui
    Yuan, Man
    Lu, Youpeng
    Huang, Yaping
    Liu, Yanfang
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 634 : 696 - 704
  • [58] A New Urban Functional Zone-Based Climate Zoning System for Urban Temperature Study
    Yu, Zhaowu
    Jing, Yongcai
    Yang, Gaoyuan
    Sun, Ranhao
    [J]. REMOTE SENSING, 2021, 13 (02) : 1 - 17
  • [59] Assessment of heat mitigation capacity of urban greenspaces with the use of InVEST urban cooling model, verified with day-time land surface temperature data
    Zawadzka, J. E.
    Harris, J. A.
    Corstanje, R.
    [J]. LANDSCAPE AND URBAN PLANNING, 2021, 214
  • [60] A Method Based on Temporal Component Decomposition for Estimating 1-km All-Weather Land Surface Temperature by Merging Satellite Thermal Infrared and Passive Microwave Observations
    Zhang, Xiaodong
    Zhou, Ji
    Goettsche, Frank-Michael
    Zhan, Wenfeng
    Liu, Shaomin
    Cao, Ruyin
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 57 (07): : 4670 - 4691