2013Advanced materials researchOpen access

A Study of Urban Thermal Environment Spatial Pattern in Harbin City Based on TM Image

Lei Wang, Lei Wang, Yun Long Yao, Jiao Chen, Lan Xia Wang, Lan Xia Wang

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Abstract

This paper takes land surface temperature as main indicator of urban thermal environment. Using the TM images of September 22, 2010, Harbin city, we analyze the spatial distribution characteristics of land surface temperature by mono-window algorithm. The results can be summarized as follows. The land surface temperature of estimation in Harbin City was between 9 to 27 °C. According to temperature gradient of different colors, urban land surface temperature was significantly higher than the suburbs in Harbin, and there were a few places, that was, high temperature and low temperature area showed obvious heat island effect. Strong heat island area were in the multiple center, distributed in DaoWai District, Nangang District and along the railway. From the faubourgs to the downtown area, the proportion of heat island increased gradually, the more strong the heat island effect was in the area located in the centre. From the point of the cause of heat island distribution in Harbin city, urban construction, population growth and real estate development were the main influence factors. The results of the study has important reference value for improving ecological environment of Harbin City, and mitigating urban heat island effect.

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What this paper is about

This paper takes land surface temperature as main indicator of urban thermal environment. Using the TM images of September 22, 2010, Harbin city, we analyze the spatial distribution characteristics of land surface temperature by mono-window algorithm. The results can be summarized as follows. The land surface temperature of estimation in Harbin City was between 9 to 27 °C. According to temperature gradient of different colors, urban land surface temperature was significantly higher than the suburbs in Harbin, and there were a few places, that was, high temperature and low temperature area showed obvious heat island effect. Strong heat island area were in the multiple center, distributed in DaoWai District, Nangang District and along the railway. From the faubourgs to the downtown area, the proportion of heat island increased gradually, the more strong the heat island effect was in the area located in the centre. From the point of the cause of heat island distribution in Harbin city, urban construction, population growth and real estate development were the main influence factors. The results of the study has important reference value for improving ecological environment of Harbin City, and mitigating urban heat island effect.

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Available abstract

This paper takes land surface temperature as main indicator of urban thermal environment. Using the TM images of September 22, 2010, Harbin city, we analyze the spatial distribution characteristics of land surface temperature by mono-window algorithm. The results can be summarized as follows. The land surface temperature of estimation in Harbin City was between 9 to 27 °C. According to temperature gradient of different colors, urban land surface temperature was significantly higher than the suburbs in Harbin, and there were a few places, that was, high temperature and low temperature area showed obvious heat island effect. Strong heat island area were in the multiple center, distributed in DaoWai District, Nangang District and along the railway. From the faubourgs to the downtown area, the proportion of heat island increased gradually, the more strong the heat island effect was in the area located in the centre. From the point of the cause of heat island distribution in Harbin city, urban construction, population growth and real estate development were the main influence factors. The results of the study has important reference value for improving ecological environment of Harbin City, and mitigating urban heat island effect.

Key concepts: Urban heat island, Environmental science, Downtown, Geography, Urban area, Spatial distribution, Distribution (mathematics), Environmental engineering

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