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Sensors 2008, 8(10), 6692-6703; doi:10.3390/s8106692
Article

Comparative and Combinative Study of Urban Heat island in Wuhan City with Remote Sensing and CFD Simulation

1,*  and 2
1 School of Architecture, Tsinghua University, Beijing 100084, P.R. China 2 Architecture & Urban Planning College, Huazhong University of Science and Technology, Wuhan 430074, P.R. China
* Author to whom correspondence should be addressed.
Received: 26 March 2008 / Revised: 28 September 2008 / Accepted: 21 October 2008 / Published: 25 October 2008
(This article belongs to the Special Issue Sensors for Urban Environmental Monitoring)
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Abstract

Urban heat islands are one of the most critical urban environment heat problems. Landsat ETM+ satellite data were used to investigate the land surface temperature and underlying surface indices such as NDVI and NDBI. A comparative study of the urban heat environment at different scales, times and locations was done to verify the heat island characteristics. Since remote sensing technology has limitations for dynamic flow analysis in the study of urban spaces, a CFD simulation was used to validate the improvement of the heat environment in a city by means of wind. CFD technology has its own shortcomings in parameter setting and verification, while RS technology is helpful to remedy this. The city of Wuhan and its climatological condition of being hot in summer and cold in winter were chosen to verify the comparative and combinative application of RS with CFD in studying the urban heat island.
Keywords: Urban Heat island; Urban Planning; Remote sensing; Computational Fluid Dynamics; Wuhan Urban Heat island; Urban Planning; Remote sensing; Computational Fluid Dynamics; Wuhan
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Li, K.; Yu, Z. Comparative and Combinative Study of Urban Heat island in Wuhan City with Remote Sensing and CFD Simulation. Sensors 2008, 8, 6692-6703.

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