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Influence of Urban Spatial Morphology on Air Temperature Variance


Affiliations
1 College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
2 State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
3 School of Geography and Remote Sensing, Nanjing University of Information Science and Technology, Nanjing 210044, China
 

Urban spatial geometric morphology is one of the key factors that results in air temperature variance between urban and suburban sites or at different urban positions. Considering the Adelaide central urban area of South Australia as study area and using urban digital elevation model (DEM) data with a high spatial resolution and field measurement meteorological data, this study estimated the sky view factor (SVF), frontal area index (FAI), and accumulated absorbed solar irradiation (AASI) from the land surface; these parameters were used to discuss the influence of the land surface on air temperature and urban heat island (UHI) under a optimal scale. The results indicate that urban spatial morphological parameters of the visually neighbouring positions display an obvious effect on the spatial-temporal air temperature variance. The degree of influence of AASI on air temperature variance during daytime increases with the solar elevation angle. A difference was noted between the influence of SVF and FAI on the urban heat island at different times in summer and winter, in which the influence of SVF and FAI on nocturnal UHI is more significant, whereas the relationship during daytime is complex.

Keywords

Air Temperature, Frontal Area Index, Solar Irradiation, Sky View Factor, Urban Heat Island.
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  • Oke, T. R., Canyon geometry and the nocturnal urban heat island: comparison of scale model and field observations. J. Climatol., 1981, 1, 237–254.

  • Arnfield, A. J., Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island. Int. J. Climatol., 2003, 23, 1–26.

  • Unger, J., Intra-urban relationship between surface geometry and urban heat island: review and new approach. Clim. Res., 2004, 27, 253–264.

  • Ding, W. W., Hu, Y. P. and Dou, P. P., Study of the interrelationship between urban pattern and urban microclimate. Archit. J., 2012, 7, 16–21 (in Chinese).

  • Liu, S. H. et al., Multi-scale atmospheric boundary-layer and land surface physics process models. Sci. Sin-Phys. Mech. Astron., 2013, 43, 1332–1355.

  • Giridharan, R., Ganesan, S. and Lau, S. S. Y., Daytime urban heat island effect in high-rise high-density developments in Hong Kong. Energ. Buildings, 2004, 36, 525–534.

  • Giridharan, R. et al., Urban design factors influencing heat island intensity in high-rise high-density environments of Hong Kong. Build. Environ., 2007, 42, 3669–3684.

  • Chen, L. and Ng, E., Quantitative urban climate mapping based on a geographical database: A simulation approach using Hong Kong as a case study. Int. J. Appl. Earth Obs., 2011, 13, 586–594.

  • Chen, L. et al., 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. Int. J. Climatol., 2012, 32, 121–136.

  • Wong, M. S. and Nichol, J. E., Spatial variability of frontal area index and its relationship with urban heat island intensity. Int. J. Remote Sens., 2013, 34(3), 885–896.

  • Australian Bureau of Statistics 2012. 2011 Census of population and housing; http://www.abs.gov.au/websitedbs/censushome.nsf/ home/Census.

  • Watson, I. D. and Johnson, G. T., Graphical estimation of sky view factors in urban environments. Int. J. Climatol., 1987, 7, 193–197.

  • Zhu, S. Y. et al., Influence of sky temperature distribution on sky view factor and its applications in urban heat island. Int. J. Climatol., 2013, 33, 1837–1843.

  • Ng, E. et al., Improving the wind environment in high-density cities by understanding urban morphology and surface roughness: a study in Hong Kong. Landscape Urban Plan., 2011, 101, 59–74.

  • Burian, S. J., Velugubantla, S. P. and Brown, M. J., Morphological analyses using 3D building databases: Phoenix, Arizona. Los Alamos National Laboratory, 2002.

  • Liu, B. Y. and Jordan, R. C., The interrelationship and characteristic distribution of direct, diffuse and total solar radiation. Sol. Energy, 1960, 4, 1–19.

  • Kreith, F. and Kreider, J. F., Principles of Solar Engineering, New York, McGraw-Hill, 1978.

  • He, H. L., Yu, G. R. and Niu, D., Method of global solar radiation calculation on complex territories. Resour. Sci., 2003, 25(1), 78– 85 (in Chinese).

  • Unger, J., Connection between urban heat island and sky view factor approximated by a software tool on a 3D urban database. Int. J. Environ. Pollut., 2009, 36, 59–80.

  • Nichol, J. E. and Wong, M. S., Spatial variability of air temperature over a city in a winter night. Int. J. Remote Sens., 2008, 29(24), 7213–7223.

  • Wong, M. S. et al., A simple method for designation of urban ventilation corridors and its application to urban heat island analysis. Build. Environ., 2010, 45, 1880–1889.


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  • Influence of Urban Spatial Morphology on Air Temperature Variance

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Authors

Guixin Zhang
College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
Zhenchun Hao
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
Shanyou Zhu
School of Geography and Remote Sensing, Nanjing University of Information Science and Technology, Nanjing 210044, China

Abstract


Urban spatial geometric morphology is one of the key factors that results in air temperature variance between urban and suburban sites or at different urban positions. Considering the Adelaide central urban area of South Australia as study area and using urban digital elevation model (DEM) data with a high spatial resolution and field measurement meteorological data, this study estimated the sky view factor (SVF), frontal area index (FAI), and accumulated absorbed solar irradiation (AASI) from the land surface; these parameters were used to discuss the influence of the land surface on air temperature and urban heat island (UHI) under a optimal scale. The results indicate that urban spatial morphological parameters of the visually neighbouring positions display an obvious effect on the spatial-temporal air temperature variance. The degree of influence of AASI on air temperature variance during daytime increases with the solar elevation angle. A difference was noted between the influence of SVF and FAI on the urban heat island at different times in summer and winter, in which the influence of SVF and FAI on nocturnal UHI is more significant, whereas the relationship during daytime is complex.

Keywords


Air Temperature, Frontal Area Index, Solar Irradiation, Sky View Factor, Urban Heat Island.

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DOI: https://doi.org/10.18520/cs%2Fv110%2Fi4%2F619-626