The Impacts of Rapid Urbanization on the Thermal Environment: A Remote Sensing Study of Guangzhou, South China

被引:189
作者
Xiong, Yongzhu [1 ,2 ,3 ]
Huang, Shaopeng [4 ,5 ]
Chen, Feng [6 ]
Ye, Hong [6 ]
Wang, Cuiping [6 ]
Zhu, Changbai [1 ,2 ]
机构
[1] Jiaying Univ, Sch Geog & Tourism, Meizhou 514015, Peoples R China
[2] Jiaying Univ, IREIS, Meizhou 514015, Peoples R China
[3] Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710075, Peoples R China
[4] Xi An Jiao Tong Univ, Inst Global Environm Change, Xian 710049, Peoples R China
[5] Univ Michigan, Dept Geol Sci, Ann Arbor, MI 48105 USA
[6] Chinese Acad Sci, Inst Urban Environm, Key Lab Urban Environm & Hlth, Xiamen 361021, Peoples R China
关键词
urban heat island; urbanization; NDVI; NDBI; remote sensing; Guangzhou; URBAN HEAT-ISLAND; LAND-SURFACE TEMPERATURE; IMPERVIOUS SURFACE; VEGETATION INDEX; FRACTAL ANALYSIS; SATELLITE; COVER; CLIMATE; SERIES; XIAMEN;
D O I
10.3390/rs4072033
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The effect of urbanization on the urban thermal environment (UTE) has attracted increasing research attention for its significant relationship to local climatic change and habitat comfort. Using quantitative thermal remote sensing and spatial statistics methods, here we analyze four Landsat TM/ETM+ images of Guangzhou in South China acquired respectively on 13 October 1990, 2 January 2000, 23 November 2005, and 2 January 2009, to investigate the spatiotemporal variations in the land surface temperature (LST) over five land use/land cover (LULC) types and over different urban/rural zones. The emphases of this study are placed on the urban heat island (UHI) intensity and the relationships among LST, the normalized difference built-up index (NDBI), and the normalized difference vegetation index (NDVI). Results show that: (1) the UHI effect existed obviously over the period from 1990 to 2009 and high temperature anomalies were closely associated with built-up land and densely populated and heavily industrialized districts; (2) the UHI intensities represented by the mean LST difference between the urban downtown area and the suburban area were on average 0.88, 0.49, 0.90 and 1.16 K on the four dates, at the 99.99% confidence level; and (3) LST is related positively with NDBI and negatively with NDVI. The spatiotemporal variation of UTE of Guangzhou could be attributed to rapid urbanization, especially to the expanding built-up and developing land, declining vegetation coverage, and strengthening of anthropogenic and industrial activities which generate increasing amounts of waste heat. This study provides useful information for understanding the local climatic and environment changes that occur during rapid urbanization.
引用
收藏
页码:2033 / 2056
页数:24
相关论文
共 60 条
[21]  
[刘宇 LIU Yu], 2006, [地理科学, Scientia Geographica Sinica], V26, P597
[22]   Application of high-resolution thermal infrared remote sensing and GIS to assess the urban heat island effect [J].
Lo, CP ;
Quattrochi, DA ;
Luvall, JC .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1997, 18 (02) :287-304
[23]  
Lu T., 2008, 2007 GUANGZH NUMB
[24]   Coupling urbanization analyses for studying urban thermal environment and its interplay with biophysical parameters based on TM/ETM plus imagery [J].
Ma, Ya ;
Kuang, Yaoqiu ;
Huang, Ningsheng .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2010, 12 (02) :110-118
[25]   SPECTRAL CHARACTERIZATION OF THE LANDSAT THEMATIC MAPPER SENSORS [J].
MARKHAM, BL ;
BARKER, JL .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1985, 6 (05) :697-716
[26]  
Oke TR., 1988, BOUNDARY LAYER CLIMA, P435
[27]   An assessment of satellite remotely-sensed land cover parameters in quantitatively describing the climatic effect of urbanization [J].
Owen, TW ;
Carlson, TN ;
Gillies, RR .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1998, 19 (09) :1663-1681
[28]   An assessment of the effectiveness of decision tree methods for land cover classification [J].
Pal, M ;
Mather, PM .
REMOTE SENSING OF ENVIRONMENT, 2003, 86 (04) :554-565
[29]   Relationships between percent vegetation cover and vegetation indices [J].
Purevdorj, T ;
Tateishi, R ;
Ishiyama, T ;
Honda, Y .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1998, 19 (18) :3519-3535
[30]  
Qian L. X., 2005, ACTA GEOGRAPHICA SIN, V60, P761