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author:

Lin Zhongli (Lin Zhongli.) [1] | Xu Hanqiu (Xu Hanqiu.) [2] (Scholars:徐涵秋)

Indexed by:

CPCI-S

Abstract:

Urban heat island intensity (UHII) is an important metric used in measuring Urban heat island (UHI) effect. Nevertheless, its quantitative measurement has not yet been clearly addressed. Due to the limitation of meteorological stations either in their number or location, the traditional method which calculates the temperature difference between urban and rural areas based on the meteorological station data fails to accurately describe the UHII of a city. In order to work out this problem, Steward and Oke proposed a classification schema -" Local Climate Zones" (LCZ). This paper applied the new framework of LCZ to the study of UHII in Fuzhou using remote sensing technology. Fuzhou has witnessed a rapid urban expansion process since the late 1970s. The fast expansion of the city has caused severe UHI phenomenon occurring in the city and thus to have become the top one furnace city in China. The study reveals that the remote sensing technology based LCZ can effectively distinguish the thermal contrasts among all LCZ classes. In addition, the LCZ can fully disclose the distribution patterns of UHI. In this study, we revealed a UHIILcz of 6.73 degrees C for Fuzhou city on 27 September 2015, which indicates an intensification of the UHI in the city.

Keyword:

Fuzhou local Climate zones remote sensing urban heat island intensity

Community:

  • [ 1 ] [Lin Zhongli]Fuzhou Univ, Coll Environm & Resources, Inst Remote Sensing Informat Engn, Fuzhou, Peoples R China
  • [ 2 ] [Xu Hanqiu]Fuzhou Univ, Coll Environm & Resources, Inst Remote Sensing Informat Engn, Fuzhou, Peoples R China

Reprint 's Address:

  • 林中立

    [Lin Zhongli]Fuzhou Univ, Coll Environm & Resources, Inst Remote Sensing Informat Engn, Fuzhou, Peoples R China

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Source :

2016 4rth International Workshop on Earth Observation and Remote Sensing Applications (EORSA)

ISSN: 2380-8039

Year: 2016

Language: English

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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