Study of Urban Heat Islands Using Different Urban Canopy Models and Identification Methods

被引:9
|
作者
Silva, Rui [1 ,2 ]
Carvalho, Ana Cristina [3 ]
Carvalho, David [1 ,2 ]
Rocha, Alfredo [1 ,2 ]
机构
[1] Univ Aveiro, Dept Phys, Campus Univ Santiago, P-3810093 Aveiro, Portugal
[2] Univ Aveiro, Ctr Environm & Marine Studies CESAM, Campus Univ Santiago, P-3810093 Aveiro, Portugal
[3] SMHI FoUl, Swedish Meteorol & Hydrol Inst, S-60176 Norrkoping, Sweden
关键词
urban heat island; WRF model; urban canopy model; turbulent kinetic energy; heatwave; Lisbon; LOCAL CLIMATE ZONES; IMPACT; PARAMETERIZATION; TEMPERATURE; CITIES; LAYER; PROJECTIONS; TURBULENCE; HEATWAVES; GEOMETRY;
D O I
10.3390/atmos12040521
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This work aims to compare the performance of the single-(SLUCM) and multilayer (BEP-Building effect parameterization) urban canopy models (UCMs) coupled with the Weather Research and Forecasting model (WRF), along with the application of two urban heat island (UHI) identification methods. The identification methods are: (1) the "classic method", based on the temperature difference between urban and rural areas; (2) the "local method" based on the temperature difference at each urban location when the model land use is considered urban, and when it is replaced by the dominant rural land use category of the urban surroundings. The study is performed as a case study for the city of Lisbon, Portugal, during the record-breaking August 2003 heatwave event. Two main differences were found in the UHI intensity (UHII) and spatial distribution between the identification methods: a reduction by half in the UHII during nighttime when using the local method; and a dipole signal in the daytime and nighttime UHI spatial pattern when using the classic method, associated with the sheltering effect provided by the high topography in the northern part of the city, that reduces the advective cooling in the lower areas under prevalent northern wind conditions. These results highlight the importance of using the local method in UHI modeling studies to fully isolate urban canopy and regional geographic contributions to the UHII and distribution. Considerable improvements were obtained in the near-surface temperature representation by coupling WRF with the UCMs but better with SLUCM. The nighttime UHII over the most densely urbanized areas is lower in BEP, which can be linked to its larger nocturnal turbulent kinetic energy (TKE) near the surface and negative sensible heat (SH) fluxes. The latter may be associated with the lower surface skin temperature found in BEP, possibly owing to larger turbulent SH fluxes near the surface. Due to its higher urban TKE, BEP significantly overestimates the planetary boundary layer height compared with SLUCM and observations from soundings. The comparison with a previous study for the city of Lisbon shows that BEP model simulation results heavily rely on the number and distribution of vertical levels within the urban canopy.
引用
收藏
页数:23
相关论文
共 50 条
  • [1] Study on the Impact of Urban Morphologies on Urban Canopy Heat Islands Based on Relocated Meteorological Stations
    Shi, Tao
    Yang, Yuanjian
    Qi, Ping
    [J]. REMOTE SENSING, 2024, 16 (09)
  • [2] Modelling the spatiotemporal change of canopy urban heat islands
    Ali, Jasim M.
    Marsh, Stuart H.
    Smith, Martin J.
    [J]. BUILDING AND ENVIRONMENT, 2016, 107 : 64 - 78
  • [3] Impacts of the Urban Spatial Landscape in Beijing on Surface and Canopy Urban Heat Islands
    Yonghong LIU
    Yongming XU
    Yeping ZHANG
    Xiuzhen HAN
    Fuzhong WENG
    Chunyi XUAN
    Wenjun SHU
    [J]. Journal of Meteorological Research, 2022, 36 (06) : 882 - 899
  • [4] Impacts of the Urban Spatial Landscape in Beijing on Surface and Canopy Urban Heat Islands
    Liu, Yonghong
    Xu, Yongming
    Zhang, Yeping
    Han, Xiuzhen
    Weng, Fuzhong
    Xuan, Chunyi
    Shu, Wenjun
    [J]. JOURNAL OF METEOROLOGICAL RESEARCH, 2022, 36 (06) : 882 - 899
  • [5] Impacts of the Urban Spatial Landscape in Beijing on Surface and Canopy Urban Heat Islands
    Yonghong Liu
    Yongming Xu
    Yeping Zhang
    Xiuzhen Han
    Fuzhong Weng
    Chunyi Xuan
    Wenjun Shu
    [J]. Journal of Meteorological Research, 2022, 36 : 882 - 899
  • [6] Surface and canopy urban heat islands: Does urban morphology result in the spatiotemporal differences?
    Peng, Wangchongyu
    Wang, Rui
    Duan, Jin
    Gao, Weijun
    Fan, Zhengxi
    [J]. URBAN CLIMATE, 2022, 42
  • [7] Water effects on urban heat islands in summer using WRF-UCM with gridded urban canopy parameters - A case study of Wuhan
    Zhu, Dun
    Zhou, Xuefan
    Cheng, Wei
    [J]. BUILDING AND ENVIRONMENT, 2022, 225
  • [8] Dynamic Spatial-temporal Evaluations of Urban Heat Islands and Thermal Comfort of a Complex Urban District Using an Urban Canopy Model
    Liu, Lin
    Lin, Yaoyu
    Wang, Dan
    Liu, Jing
    [J]. JOURNAL OF ASIAN ARCHITECTURE AND BUILDING ENGINEERING, 2016, 15 (03) : 627 - 634
  • [9] Review of methods for retrieving urban heat islands
    Bahi, Hicham
    Mastouri, Hicham
    Radoine, Hassan
    [J]. MATERIALS TODAY-PROCEEDINGS, 2020, 27 : 3004 - 3009
  • [10] Simulation of Urban Heat Island during a High-Heat Event Using WRF Urban Canopy Models: A Case Study for Metro Manila
    Bilang, Ronald Gil Joy P.
    Blanco, Ariel C.
    Santos, Justine Ace S.
    Olaguera, Lyndon Mark P.
    [J]. ATMOSPHERE, 2022, 13 (10)