Surface energy balance-based surface urban heat island decomposition at high resolution

被引:8
作者
Guo, Fengxiang [1 ]
Sun, Jiayue [2 ]
Hu, Die [3 ]
机构
[1] UFZ Helmholtz Ctr Environm Res, Dept Urban & Environm Sociol, D-04318 Leipzig, Germany
[2] Chang Guang Satellite Technol Co Ltd, Changchun 130000, Peoples R China
[3] Peking Univ, Sino French Inst Earth Syst Sci, Coll Urban & Environm Sci, Beijing, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Land surface temperature downscaling; Surface energy balance; Surface urban heat island; Evapotranspiration; Google Earth Engine; Urban adaptation; REMOTE-SENSING DATA; SEBAL ALGORITHM; TEMPERATURE; CLIMATE; EVAPOTRANSPIRATION; CLASSIFICATION; SIMULATION; RADIATION; IMAGERY; TRENDS;
D O I
10.1016/j.rse.2024.114447
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Urban heat island (UHI) is among the most pronounced human impacts on Earth. To formulate locally adapted mitigation strategies, a comprehensive understanding of the influencing mechanisms of UHI at high resolution is imperative. Based on surface energy balance, we attributed surface UHI (SUHI) into five biophysical terms (surface radiation, anthropogenic heat, convection, evapotranspiration and heat storage term) using Sentinel-2 and Landsat-8 images in Beijing. The simulated SUHI intensity, derived by combining all five contribution terms, exhibited a good consistency but a higher spatial resolution, than SUHI intensity extracted from Landsat-8 land surface temperature product. SUHI intensity tended to decrease from the old city to outsides, attributed to the decrease of evapotranspiration, solar radiation and anthropogenic heat term. The convection and heat storage term play a positive role in reducing SUHI. Among urban morphological blocks, low-rise and high-density blocks had the strongest SUHI, with the evapotranspiration term contributing the most. The results highlighted the capacity of the urban surface to evaporate water in affecting Beijing SUHI. The proposed method provides one useful tool to analyze the drivers of SUHI from the aspect of heat formation, which can be potentially applied worldwide for large-scale comparisons of how urbanization affects UHI.
引用
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页数:18
相关论文
共 107 条
[1]   SEBU: A novel fully automated Google Earth Engine surface energy balance model for urban areas [J].
Abunnasr, Yaser ;
Mhawej, Mario ;
Chrysoulakis, Nektarios .
URBAN CLIMATE, 2022, 44
[2]   Towards a combined Landsat-8 and Sentinel-2 for 10-m land surface temperature products: The Google Earth Engine monthly Ten-ST-GEE system [J].
Abunnasr, Yaser ;
Mhawej, Mario .
ENVIRONMENTAL MODELLING & SOFTWARE, 2022, 155
[3]   Urban heat island mitigation strategies: A state-of-the-art review on Kuala Lumpur, Singapore and Hong Kong [J].
Aflaki, Ardalan ;
Mirnezhad, Mahsan ;
Ghaffarianhoseini, Amirhosein ;
Ghaffarianhoseini, Ali ;
Omrany, Hossein ;
Wang, Zhi-Hua ;
Akbari, Hashem .
CITIES, 2017, 62 :131-145
[4]  
Allen R. G., 2002, Integration and management of irrigation, drainage and flood control. Volume 1B. 18th International Congress on Irrigation and Drainage, Montreal, Canada, 2002, P1
[5]  
Allen R. G., 2005, Irrigation and Drainage Systems, V19, P251, DOI 10.1007/s10795-005-5187-z
[6]   Using the FAO-56 dual crop coefficient method over an irrigated region as part of an evapotranspiration intercomparison study [J].
Allen, RG .
JOURNAL OF HYDROLOGY, 2000, 229 (1-2) :27-41
[7]  
Bastiaanssen WGM, 1998, J HYDROL, V212, P213, DOI [10.1016/S0022-1694(98)00253-4, 10.1016/S0022-1694(98)00254-6]
[8]   SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey [J].
Bastiaanssen, WGM .
JOURNAL OF HYDROLOGY, 2000, 229 (1-2) :87-100
[9]   Temperature and mortality among the elderly in the United States - A comparison of epidemiologic methods [J].
Basu, R ;
Dominici, F ;
Samet, JM .
EPIDEMIOLOGY, 2005, 16 (01) :58-66
[10]   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