Evaluation of a microclimate model for predicting the thermal behavior of different ground surfaces

The microclimate model ENVI-met Version 4 was evaluated with field data in terms of the thermal behavior of different types of ground surface. A field experiment was conducted in a real construction project in Guangzhou, South China, from 29 August to 2 September in 2010. The surface types of concrete, tile, asphalt and grass were investigated. The comparison between observation and prediction was performed for both sub- and above-surface variables, including soil temperature at different depths, soil heat flux at the surface, surface temperature, and air temperature and humidity at different heights. The results show that the ENVI-met model is capable of reasonably modelling the diurnal thermal behavior of different ground surfaces and their effects on local air temperature and humidity. The comparison of spatial distributions of air temperature and humidity shows that the hotter/drier and cooler/wetter spots predicted by ENVI-met were generally consistent with the observations. The quantitative evaluation shows that the ENVI-met model is capable of predicting the microclimate in terms of different variables with good accuracy.

[1]  E. Johansson,et al.  Urban shading—a design option for the tropics? A study in Colombo, Sri Lanka , 2007 .

[2]  Eduardo L. Krüger,et al.  Impact of urban geometry on outdoor thermal comfort and air quality from field measurements in Curit , 2011 .

[3]  Anthony J. Brazel,et al.  Observing and modeling the nocturnal park cool island of an arid city: horizontal and vertical impacts , 2011 .

[4]  G. Hornberger,et al.  Empirical equations for some soil hydraulic properties , 1978 .

[5]  A. Brazel,et al.  Assessing xeriscaping as a sustainable heat island mitigation approach for a desert city , 2012 .

[6]  R. Occelli,et al.  Analysis of a 3D boundary layer model at local scale: Validation on soybean surface radiative measurements , 2007 .

[7]  Liang Chen,et al.  A study on the cooling effects of greening in a high-density city: An experience from Hong Kong , 2012 .

[8]  C. Willmott Some Comments on the Evaluation of Model Performance , 1982 .

[9]  Nadège Blond,et al.  Analysing the influence of different street vegetation on traffic-induced particle dispersion using microscale simulations. , 2012, Journal of environmental management.

[10]  S. Sharples,et al.  On the development of an urban passive thermal comfort system in Cairo, Egypt , 2009 .

[11]  H. Mayer,et al.  Numerical study on the effects of aspect ratio and orientation of an urban street canyon on outdoor thermal comfort in hot and dry climate , 2006 .

[12]  M. Bruse,et al.  Simulating surface–plant–air interactions inside urban environments with a three dimensional numerical model , 1998 .

[13]  S. Sethuraman,et al.  A statistical evaluation and comparison of coastal point source Dispersion Models , 1986 .