Urban heat island effect of a typical valley city in China: Responds to the global warming and rapid urbanization

被引:86
|
作者
Li, Guodong [1 ]
Zhang, Xi [1 ]
Mirzaei, Parham A. [2 ]
Zhang, Junhua [1 ]
Zhao, Zisheng [1 ]
机构
[1] Henan Univ, Sch Environm & Planning, Kaifeng 475004, Peoples R China
[2] Univ Nottingham, Architecture & Built Environm Dept, Nottingham NG7 2RD, England
基金
中国国家自然科学基金;
关键词
Urban heat island effect; Global warming; Rapid urbanization; Valley city; MITIGATION; INTENSITY;
D O I
10.1016/j.scs.2018.01.033
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Global warming and rapid urbanization has significantly resulted in exacerbation of the urban heat island (UHI). However, most of the previous studies neglected the impact of terrain background on the UHI effect. Lanzhou city, the second largest city of Northwest China, is chosen as the case study, the typical valley terrain, fast urbanization and serious atmospheric pollution have caused unique urban climate characteristics. Based on the observational experiments between urban and rural areas, the meteorological data of four weather stations in past 60 years, economic and social development statistical data, trends of the regional temperature and UHI characteristics in different time-scales are analyzed. Then, the contribution of the urbanization effect on the urban air temperature alteration is evaluated, and finally a potential relation between the urbanization and the UHI are examined. Results show that the temperature of Lanzhou demonstrates a rising trend in the wave curve during the past 60 years. Based on Mann-Kendall analysis, an unusual change in the annual temperature is found in 1993. There are quasi-periodic variations on the time scales of seven years in the annual mean and maximum temperature series. Furthermore, it is found that the UHI effect of Lanzhou increases year by year, especially after 1980s. The UHI intensity shows a large seasonal dependence, being strongest in winter (0.43 degrees C/10a), and weakest in spring (0.17 degrees C/10a). And, daily UHI intensity analyses also present the characteristics to be strong during a night and weak during a day; the difference between the maximum and minimum UHI is biggest in summers. In general, the contribution rate of the UHI effect to regional temperature is 57.3%. Eventually, Principal Component Analysis (PCA) method is used to extract the first principal component of nine urbanization indices, and construct a comprehensive urbanization index. The cubic fit regression model between the UHI and comprehensive urbanization index is established, which verifies Kuznets phenomenon.
引用
收藏
页码:736 / 745
页数:10
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