A numerical and field investigation of underground temperatures under Urban Heat Island
Introduction
In an age of urbanization and global warming, the influence of Urban Heat Island (UHI) is more and more significant [10], [19]. Temperature variation impacts on the engineering properties of urban soils, and consequently changes the strength and stability of various engineered structures. Many previous studies show that the increase of shallow soil temperature influences soil permeability, suction of unsaturated soils, and soils shear strength etc [11], [24]. Underground temperature prediction therefore plays an important role in the research of issues related to environment, energy sources and engineering [7], [16], [22].
The causes of UHI are not the same in different climates or city features. Therefore, many models and approaches, including observation and simulation techniques, have been proposed to understand the causes of UHI formation and to mitigate the corresponding effects [9], [15], [26]. Santamouris [21] reviewed observational studies of UHI for European cities. Mirzaei [15] presented a review of the techniques used to study UHI, and discussed the abilities and limitations of each approach for the investigation of UHI mitigation and prediction. Huang et al. [9] investigated the diurnal changes of urban and rural air temperatures in four types of ground cover and Urban Heat Island of Nanjing. Their study indicates that the Urban Heat Island Intensity varies in time and on different surface types. However, surface temperatures, underground temperatures, and corresponding UHI effect are not involved.
Continuous monitoring of underground temperature is expensive. Analytical methods and computer technologies can provide cheaper, alternative ways to predict the underground temperatures. However, the underground temperature field is influenced by many factors, including solar radiation, air temperature, wind speed, rainfall, shelter, and soil properties [5], [14]. Most of these factors change irregularly and as a result, the prediction and estimation of underground temperature is complex. In previous studies, many analytical models [23], semi-analytical models [6], [27], empirical models [1], [2], numerical methods [12], [18], Fourier models [8] and neural network methods [3] have been used to solve various heat transfer problems [17]. Most of these methods require many measured parameters, some of which are hard to obtain under real field conditions.
On the basis of the relationship between air temperatures and surface temperatures, a simplified model is introduced to simulate the variation of underground soil temperatures during summer hot weather. The method has been used to estimate the underground temperatures of concrete and bare soil surfaces in two sites of Nanjing (China). The simulated temperatures are compared with the measured data to investigate the influence factors of the Urban Heat Island. Combined with the field moisture data, the influences of UHI, surface types and rainfall infiltration on the underground temperatures and moisture are analyzed.
Section snippets
Field temperature survey
Nanjing (East China, 32.04°N, 118.78°E) is the capital of Jiangsu province and situated in one of the largest economic zones of China, the Yangtze River Delta. The city’s total land area is 6598 square kilometers and the urban population is over 7 million. Seasons are distinct in Nanjing, with usually hot summers and plenty of rainfall throughout the year.
The main purpose of the field survey is to detect the diurnal variation of air temperatures and surface temperatures with concrete surface
Numerical simulation
Underground temperatures are influenced by solar radiation, air temperature, wind speed, and shelter, etc. Essentially, these factors act on the ground surface and then affect the underground temperature field. In order to simulate the underground temperature variations, we will make three assumptions: (1) the soil is homogeneous, and as a result, heat only flows in vertical direction; (2) no underground heat source; (3) rainfall infiltration is not considered. Therefore, the corresponding heat
Measured- and simulated temperatures
As shown in Fig. 3a and b, both the measured- and simulated-data indicate a high correlation between underground temperatures and air temperatures. The shallow underground temperatures fluctuate with the air temperature, and the amplitude decreases with increasing depth. The temperature amplitude is greater for the concrete surface in comparison with that of the soil surface, since both the air temperature amplitude and thermal diffusivity are much greater for concrete surfaces. Specifically,
Conclusions
Based on the field survey of air- and surface temperatures, a simplified method is introduced to simulate the variation of underground soil temperatures. According to the transient heat conduction differential equation and the relationship between air- and surface temperatures, only air temperatures at 14:00 h and diurnal lowest air temperatures are required in this model. This method was used in the numerical simulation of soil temperatures under urban concrete- and suburban soil surfaces. The
Acknowledgements
The authors would like to give special thanks for Dr. Sue Struthers to correct this paper in English writing. Financial support from key project of Natural Science Foundation of China (NSFC, NO. 40730739) and College Graduate Student Innovation Program of Jiangsu Province (CX09B_011Z) is gratefully acknowledged. Thanks to the anonymous reviewers for many valuable comments that have notably helped us improve the manuscript.
References (27)
- et al.
The cooling potential of earth-air heat exchangers for domestic buildings in a desert climate
Building and Environment
(2006) - et al.
The generation of subsurface temperature profiles for Kuwait
Energy and Buildings
(2001) - et al.
Identification of temperature and moisture content fields using a combined neural network and clustering method approach
International Communications in Heat and Mass Transfer
(2009) - et al.
Simultaneous heat and moisture transfer in soils combined with building simulation
Energy and Buildings
(2006) - et al.
Ground temperature estimations using simplified analytical and semi-empirical approaches
Solar Energy
(2009) - et al.
Ground heat exchangers: a review of systems, models and applications
Renewable Energy
(2007) - et al.
Forest understory soil temperatures and heat flux calculated using a fourier model and scaled using a digital camera
Agricultural and Forest Meteorology
(2010) - et al.
A fieldwork study on the diurnal changes of urban microclimate in four types of ground cover and urban heat island of Nanjing, China
Building and Environment
(2008) - et al.
Detecting urbanization effects on surface and subsurface thermal environment-a case study of Osaka
Science of the Total Environment
(2009) - et al.
Adaptation of the van Genuchten expression to the effects of temperature and density for compacted bentonites
Applied Clay Science
(2009)
Determination of influence of various parameters on thermal properties of soils
International Communications in Heat and Mass Transfer
On estimating soil surface temperature profiles
Energy and Buildings
Approaches to study Urban Heat Island-abilities and limitations
Building and Environment
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