Effects of 2D/3D urban morphology on land surface temperature: Contribution, response, and interaction

被引:52
作者
Yuan, Bo [1 ]
Zhou, Liang [1 ,2 ]
Hu, Fengning [1 ]
Wei, Chunzhu [3 ]
机构
[1] Lanzhou Jiaotong Univ, Fac Geomat, 88 Anning Rd West, Lanzhou 730070, Peoples R China
[2] Natl Local Joint Engn Res Ctr Technol & Applicat N, Lanzhou 730070, Peoples R China
[3] Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou 510275, Peoples R China
基金
中国国家自然科学基金;
关键词
Urban heat island; Interaction effects; XGBoost; SHAP method; Sustainable development goals; HEAT-ISLAND; LANDSCAPE STRUCTURE; REGRESSION; PATTERN; COVER; HETEROGENEITY; URBANIZATION; SIMULATION; INDICATORS; VEGETATION;
D O I
10.1016/j.uclim.2023.101791
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Urban morphology severely affects the intra-urban heat flux transport and thus directly regulates urban thermal environment. Despite previous studies suggested that urban morphology may significantly contribute to land surface temperature (LST), few studies simultaneously discuss the effects of urban morphology on LST in different urban units, particularly in the irregular block scale. Here, we explored the relationships between multi-dimensional urban morphology and LST using the eXtreme gradient boosting (XGBoost) model and the SHapley Additive exPlanations (SHAP) method. Especially, we revealed the interaction of the urban morphological metrics on LST at the block (i.e., irregular size delineated by roads) and the grid scale (i.e., a regular grid size with 200 x 200 m). The results show that the contributions of urban metrics on LST follow the rank of 3D building metrics >2D landscape metrics of impervious surface (IS) > 2D landscape metrics of urban green space (UGS). Average building height (AH) and the percentage of landscape of IS (PLAND_IS) are the most important metrics at the block and the grid scale, respectively. Moreover, some metrics have specific thresholds of the warming or cooling effects, e.g., the cooling effect when AH exceeds 19 m and warming effect when PLAND_IS >49%. Finally, we found that the interaction effects of 3D-3D metrics pairs are stronger than that of 2D-3D metrics pairs. These findings provide useful information for understanding the driving mechanism of the 2D and 3D urban morphology on LST and optimizing the urban morphology for mitigating the urban heat islands effect.
引用
收藏
页数:14
相关论文
共 80 条
[1]   The effect of multi-dimensional indicators on urban thermal conditions [J].
Alavipanah, Saddrodin ;
Schreyer, Johannes ;
Haase, Dagmar ;
Lakes, Tobia ;
Qureshi, Salman .
JOURNAL OF CLEANER PRODUCTION, 2018, 177 :115-123
[2]   Urban morphology and landscape structure effect on land surface temperature: Evidence from Shiraz, a semi-arid city [J].
Azhdari, Abolghasem ;
Soltani, Ali ;
Alidadi, Mehdi .
SUSTAINABLE CITIES AND SOCIETY, 2018, 41 :853-864
[3]   Spatio-temporal analysis of the relationship between 2D/3D urban site characteristics and land surface temperature [J].
Berger, C. ;
Rosentreter, J. ;
Voltersen, M. ;
Baumgart, C. ;
Schmullius, C. ;
Hese, S. .
REMOTE SENSING OF ENVIRONMENT, 2017, 193 :225-243
[4]   Urban Growth Process in Greater Accra Metropolitan Area: Characterization Using Fractal Analysis [J].
Bonsu, Kofi ;
Bonin, Olivier .
JOURNAL OF GEOVISUALIZATION AND SPATIAL ANALYSIS, 2023, 7 (02)
[5]   Comparing Pan-sharpened Landsat-9 and Sentinel-2 for Land-Use Classification Using Machine Learning Classifiers [J].
Bouslihim, Yassine ;
Kharrou, Mohamed Hakim ;
Miftah, Abdelhalim ;
Attou, Taha ;
Bouchaou, Lhoussaine ;
Chehbouni, Abdelghani .
JOURNAL OF GEOVISUALIZATION AND SPATIAL ANALYSIS, 2022, 6 (02)
[6]   Seasonally disparate responses of surface thermal environment to 2D/3D urban morphology [J].
Chen, Jike ;
Zhan, Wenfeng ;
Du, Peijun ;
Li, Long ;
Li, Jiufeng ;
Liu, Zihan ;
Huang, Fan ;
Lai, Jiameng ;
Xia, Junshi .
BUILDING AND ENVIRONMENT, 2022, 214
[7]   Unravelling the multilevel and multi-dimensional impacts of building and tree on surface urban heat islands [J].
Chen, Jike ;
Du, Peijun ;
Jin, Shuangen ;
Ding, Haiyong ;
Chen, Cheng ;
Xu, Yongming ;
Feng, Li ;
Guo, Guanhua ;
Zheng, Hongrui ;
Huang, Minmin .
ENERGY AND BUILDINGS, 2022, 259
[8]   Sky view factor analysis of street canyons and its implications for daytime intra-urban air temperature differentials in high-rise, high-density urban areas of Hong Kong: a GIS-based simulation approach [J].
Chen, Liang ;
Ng, Edward ;
An, Xipo ;
Ren, Chao ;
Lee, Max ;
Wang, Una ;
He, Zhengjun .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2012, 32 (01) :121-136
[9]   Delineating Seasonal Relationships Between Suomi NPP-VIIRS Nighttime Light and Human Activity Across Shanghai, China [J].
Chen, Zuoqi ;
Yu, Bailang ;
Ta, Na ;
Shi, Kaifang ;
Yang, Chengshu ;
Wang, Congxiao ;
Zhao, Xizhi ;
Deng, Shunqiang ;
Wu, Jianping .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 12 (11) :4275-4283
[10]   Spatial statistical analysis and simulation of the urban heat island in high-density central cities [J].
Chun, B. ;
Guldmann, J. -M. .
LANDSCAPE AND URBAN PLANNING, 2014, 125 :76-88