Evaluating the local climate zone classification in high-density heterogeneous urban environment using mobile measurement

Evaluating the local climate zone classification in high-density heterogeneous urban environment using mobile measurement
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DOI:
10.1016/j.uclim.2018.07.001
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发表时间:
2018-09
期刊:
影响因子:
6.4
通讯作者:
Yuan Shi;K. Lau;C. Ren;E. Ng
Yuan Shi;K. Lau;C. Ren;E. Ng
中科院分区:
工程技术2区
文献类型:
--
作者:
Yuan Shi;K. Lau;C. Ren;E. Ng

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在气候变化背景下,城市热岛(UHI)已被确定为对城市生活质量的威胁。随着人们对城市扩张对当地气候影响的认识提高,城市规划者/决策者试图将气候因素纳入规划过程。香港是一个人口密集、城市环境多元的城市,一种越来越常用的城市气候分析方案——本地气候带(LCZ)分类。本研究旨在利用现场气温数据来评估在这样一个独特的城市背景下LCZ的制图。通过移动测量,研究了2016年夏季白天和夜间屏面气温的精细尺度空间变化。测量数据在地理信息系统(GIS)中进行整理,以现有的LCZ地图为基础。在大多数LCZ类别之间观察到统计上显著的空气温度差异,这证实了高密度异质城市背景下LCZ的准确性。观测到站点平均气温的较高不确定性和lccs 1至lccs 6的相当大的lccs内气温差异。这表明香港现时的LCZ程序可进一步完善,以更深入地了解人口密集城市地区的气候异质性。
Urban heat island (UHI) has been identified as a threat to urban living quality in the context of climate change. As awareness of the impacts of urban expansion on local climate increases, urban planners/decision makers attempt to incorporate climatic considerations into the planning process. An increasingly-used urban climatic analysis scheme— Local Climate Zone (LCZ) classification— has been applied in Hong Kong, a high-density city with heterogeneous an urban environment. This study aims to evaluate the LCZ mapping in such a unique urban context using in-situ air temperature data. The fine-scale spatial variation of the daytime and nighttime screen-level air temperatures was investigated via mobile measurements during the summertime of 2016. The measured data were collated in Geographic Information System (GIS) based on the current LCZ maps. Statistically significant air temperature differences were observed between most LCZ classes, which confirm the veracity of LCZ in high-density heterogeneous urban contexts. Higher uncertainties in the site-averaged air temperature and considerable intra-LCZ air temperature differences in LCZs 1 to 6 were observed. It indicates that the current LCZ procedures of Hong Kong can be further refined for a better understanding of the climatic heterogeneity in densely built urban areas.