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地表城市热岛影响因素研究进展

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全球正在经历快速且高强度的城市化,由此产生了更多的城市热岛现象.它会对城市、区域乃至全球许多的生态环境要素产生直接或间接的影响.掌握城市热岛的影响要素是实现对其趋利避害的前提.遥感现已成为一种被广泛接受和采用的监测城市热岛的方法.针对前人相关综述已经无法全面反映地表城市热岛影响要素的发展现状与趋势的问题,本文首先从土地利用/土地覆盖类型、地表生物物理条件、景观格局、人类活动强度、气象条件和地理位置、政策要素及综合分析七个方面对国内外地表城市热岛(Surface Urban Heat Island,SUHI)影响因素的研究进行系统评述;然后依据现有研究中或空白或结论相互冲突或尚需深化的地方指出几个潜在的关键问题与研究方向,主要包括:(1)应同时开展多类气候带上的多个不同规模城市在多个时刻或时间段内的研究;(2)细化土地覆盖/利用类型;(3)引入更多空间分析方法;(4)发展和完善地表生物物理条件、景观组分和配置、人类活动强度、气象条件或地理位置等方面的指标;(5)采用多学科方法提取大数据里的海量信息;(6)综合分析各影响因素并结合其他城市问题给出最优配置方案.
Studies on Influence Factors of Surface Urban Heat Island:a Review
The rapid urbanization with high intensity is recently occurring in the world,resulting in more urban heat island (UHI) phenomenon.It has a direct or indirect impact on various eco-environment factors of cities,regions and even the whole world.To grasp the influencing factors of urban heat island is the premise to realize its benefit-tending and harm-avoiding.Now the remote sensing method has been widely accepted and used for the UHI monitoring.Aiming at the current issue that the previous reviews could not reflect the developing status and trends of this study field nowadays,the previous studies at home and abroad on the influencing factors of surface urban heat island (SUHI) are firstly reviewed from seven aspects,including the land use and land cover (LULC) types,surface biophysical conditions,landscape pattern,the intensity of human activity,meteorological condition and geographical location,policy factors,and synthetical analysis.Then,several key issues or potential research directions are proposed based on the blank research field in the existing studies,or those are with conflicting conclusions or still needed to be deepen.The main contents are as follows.(1) Synchronously study the surface urban heat island issue for various cities with different sizes at multiple climate zones at various times or during multiple time periods.(2) Refine the LULC types.(3) Introduce more spatial analysis methods.(4) Propose or complete indicators about the surface biophysical conditions,landscape composition and configuration,intensity of human activities,meteorological condition,geographic location,etc.(5) Extract mass information of the big data by methods of multidisciplinary.(6) Synthetically analyse its various affect indicators,and explore the optimal configuration scheme together considering other urban issues.

land surface temperatureland use and land coversurface biophysical conditionslandscape patternthe intensity of human activitiesmeteorological conditiongeographic location

李元征、尹科、王亚婷、王岚、于盈盈、胡聃

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中国科学院生态环境研究中心城市与区域生态国家重点实验室,北京100085

中国科学院大学,北京100049

九江学院鄱阳湖生态经济研究中心,九江332005

成都市环境保护科学研究院,成都610072

华南农业大学资源环境学院,广州510642

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地表温度 土地利用与土地覆盖 地表生物物理条件 景观格局 人类活动强度 气象条件 地理位置

国家自然科学基金

41571482

2017

10.16507/j.issn.1006-6055.2017.02.005

世界科技研究与发展
中国科学院院士工作局,中国工程院学部工作局,中国科学院综合计划局,中国科学院成都文献情报中心

世界科技研究与发展

CSTPCDCSCD
影响因子：0.193
ISSN：1006-6055
年,卷(期)：2017.39(1)
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