International Journal of Environmental Science and Development

Abstract—In the study of the urban heat island, the correlation between surface temperature and air temperature near the ground remains an interesting topic, especially under the different underlying surfaces. This paper investigates such correlations based on the data collected in 7 matrixes, each with 24 sets of data, in Wuhan in August 2015. Regression analysis method is used with Ts and Ta of different times and different underlying surfaces, and this analysis can help to explore the mechanism of the differences. The paper comes to the following conclusions: 1). On different underlying surfaces, Ts and Ta are not consistent. The coefficient of determination of the degree of fitting of hard paving and open space is better, then, arbor, bush and meadow, in turn reducing. Water space is least. 2). On the same time node, with the increase of solar radiation, the difference between Ts and Ta reduces and the rate of Ts is higher than Ta. 3. On different underlying surfaces and time nodes, Ts changes faster than Ta and the difference of Ta and Ts is maximized at 14 o'clock of the day, among which the difference of hard pavement is the greatest, followed by open space, meadow, bush, arbor and water. In the process of urbanization, the heat island will increasingly evolve with road-hardening and building density increasing. Therefore, we should make effort to increase the area of underlying surfaces of greenbelt and water in order to reduce the heat island effect and to enhance human body comfort.

Index Terms—Surface temperature, near-surface air temperature, correlations, Wuhan.

The authors are with School of Resources and Environmental Science of Hubei University, Wuhan 430062, P.R. China (e-mail:1134334439@qq.com, williamhdh@gmail.com).

[PDF]

Cite: Ailing Cai and Daohua Hu, "Study on the Correlations between Surface Temperature and Near-Surface Air Temperature on Different Underlying Surfaces in City of Wuhan, China," International Journal of Environmental Science and Development vol. 8, no. 5, pp. 378-384, 2017.