Defining scales of the land use effect to map the urban heat island in a mid-size European city: Rennes (France)

被引:49
作者
Foissard, X. [1 ]
Dubreuil, V [1 ]
Quenol, H. [1 ]
机构
[1] Univ Rennes, CNRS, LETG, UMR 6554, F-35000 Rennes, France
关键词
Urban Heat Island (UHI); Weather station; Air temperature; Regression model; Spatial analysis; Local scales; AIR-TEMPERATURE; SPATIAL INTERPOLATION; VARIABILITY; VEGETATION; IMPACT; REGRESSION; DYNAMICS; INDEXES; BERLIN; VOLUME;
D O I
10.1016/j.uclim.2019.100490
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Urban Heat Island (UHI) is a climatic phenomenon linked to urbanization. In the context of climate change, municipalities have to adapt the city to increase in heat waves by managing the UHI. This study aims to map the UHI of a mid-size city (Rennes, France) and to define the relevant land use factors. The UHI was measured by 22 weather stations in different contexts: urban, suburban and peri-urban. After investigating the UHI weather conditions, we used a multi-criteria method by linear regression to build a model of the UHI. It explained 82% of UHI spatial variability for an average year. This method was automated to map the UHI for several periods (annual, seasonal, and daily). The influence of the land use on the UHI fluctuated with weather conditions. We tested different land use factors for several scales (100 m to 900 m). The results show the preponderance of low vegetation fraction and built-up fraction variables to explain the UHI with a buffer radius of 200 m and 900 m respectively. We conclude that these variables are relevant to define indexes for town planners.
引用
收藏
页数:13
相关论文
共 72 条
[1]   MAXIMUM LIKELIHOOD IDENTIFICATION OF GAUSSIAN AUTOREGRESSIVE MOVING AVERAGE MODELS [J].
AKAIKE, H .
BIOMETRIKA, 1973, 60 (02) :255-265
[2]   Application of climatic guidelines to urban planning The example of Lisbon (Portugal) [J].
Alcoforado, Maria-Joao ;
Andrade, Henrique ;
Lopes, Antonio ;
Vasconcelos, Joao .
LANDSCAPE AND URBAN PLANNING, 2009, 90 (1-2) :56-65
[3]  
Amorim M.C. de C. T., 2015, ABClima, V16, DOI [10.5380/abclima.v16i0.40585, DOI 10.5380/ABCLIMA.V16I0.40585]
[4]  
[Anonymous], 1981, The Urban Climate
[5]  
[Anonymous], 2002, SUBSET SELECTION REG
[6]  
Besancenot J-P., 2002, ENVIRON RISQUE SANTE, V1, P229
[7]   A multiple linear statistical model for estimating the mean maximum urban heat island [J].
Bottyán, Z ;
Unger, J .
THEORETICAL AND APPLIED CLIMATOLOGY, 2003, 75 (3-4) :233-243
[8]   Urban greening to cool towns and cities: A systematic review of the empirical evidence [J].
Bowler, Diana E. ;
Buyung-Ali, Lisette ;
Knight, Teri M. ;
Pullin, Andrew S. .
LANDSCAPE AND URBAN PLANNING, 2010, 97 (03) :147-155
[9]  
Cantat O, 2004, Norois, V191, P1
[10]   Temporal dynamics of the urban heat island of Singapore [J].
Chow, Winston T. L. ;
Roth, Matthias .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2006, 26 (15) :2243-2260