Abstract
Abstract. The Local Climate Zones (LCZs) concept was initiated in 2012 to improve the documentation of Urban Heat Island (UHI) observations. Despite the indispensable role and initial aim of LCZs concept in metadata reporting for atmospheric UHI research, its role in surface UHI investigation also needs to be emphasized. This study incorporated LCZs concept to study surface UHI effect for San Antonio, Texas. LCZ map was developed by a GIS-based LCZs classification scheme with the aid of airborne Lidar dataset and other freely available GIS data. Then, the summer LST was calculated based Landsat imagery, which was used to analyse the relations between LST and LCZs and the statistical significance of the differences of LST among the typical LCZs, in order to test if LCZs are able to efficiently facilitate SUHI investigation. The linkage of LCZs and land surface temperature (LST) indicated that the LCZs mapping can be used to compare and investigate the SUHI. Most of the pairs of LCZs illustrated significant differences in average LSTs with considerable significance. The intra-urban temperature comparison among different urban classes contributes to investigate the influence of heterogeneous urban morphology on local climate formation.
Highlights
Urbanization and the related environmental issues have been continuously drawing attention worldwide in previous decades
The summer land surface temperature (LST) were calculated based Landsat imagery, which is used to analyse the relations between LST and Local Climate Zones (LCZs), statistical significance of the differences of LST among the typical LCZ, in order to test if LCZs are able to efficiently facilitate surface UHI (SUHI) investigation of San Antonio
The spatial distributions of LCZs and LST indicated that the LCZs and LST can be connected to further investigate the SUHI
Summary
Urbanization and the related environmental issues have been continuously drawing attention worldwide in previous decades. The Local Climate Zones (LCZ) concept was initiated to improve the documentation of atmospheric UHI observations in 2012 (Stewart and Oke 2012). Despite the indispensable role and initial aim of LCZs concept in metadata reporting for AUHI research (Stewart, Oke et al 2014), its role in SUHI investigation needs to be emphasized. LST is affected by underlying physical factors (e.g., urban geometry, land cover properties) as well as dynamic factors (e.g., human interaction, intervention of surrounding area) in the reality These factors modify the microclimate of the urban area and urban energy balance within the UCL, which is a challenge for to investigate the SUHI intensity. The summer LST were calculated based Landsat imagery, which is used to analyse the relations between LST and LCZs, statistical significance of the differences of LST among the typical LCZ, in order to test if LCZs are able to efficiently facilitate SUHI investigation of San Antonio
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