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作 者:吴筱桐 谷风云 WU Xiaotong1 , GU Fengyun2(1. College of Fisheries, Ocean University of China, Qingdao 266003, China;2. School of Geomatics and Marine Information, Huaihai Institute of Technology, Lianyungang 222005,China)
机构地区:[1]中国海洋大学水产学院,山东青岛266003 [2]淮海工学院测绘与海洋信息学院,江苏连云港222005
出 处:《淮海工学院学报(自然科学版)》2018年第2期67-70,共4页Journal of Huaihai Institute of Technology:Natural Sciences Edition
基 金:国家自然科学基金资助项目(31270745)
摘 要:城市热岛效应是快速城市化带来的一个重要问题,严重影响城市环境.采用2016—2017年枣庄市4幅Landsat OLI影像数据,运用分裂窗算法反演枣庄市地区地表温度热场变异指数,分析枣庄市热岛效应的季节变化特征,并揭示出热岛效应与NDVI之间的相关关系.研究结果表明:枣庄市地区地表相对高温区的分布具有明显的季节特征;枣庄市四季均存在着明显的热岛效应,其中夏季和秋季为强热岛,春季次之,冬季为弱热岛;地表温度与NDVI均呈负相关且在春季更显著,即提高城市植被覆盖度是降低地表温度、缓解城市热岛效应的有效措施.Urban heat island effect is a significant problem caused by the rapid urbanization.Based on the Landsat OLI image data of four seasons in Zaozhuang city from 2016 to 2017,this paper uses the split-window algorithm to inverse the surface temperatures in local areas and reflect the regulation of temporal and spatial change of urban heat island effect indirectly.Subsequently,using the surface temperatures and thermal field variance index,this research analyzed the seasonal variation characteristics of urban heat island effect in Zaozhuang and revealed the relationship between heat island effect and NDVI.The results show that areas with higher temperature tend to be strong urban heat island especially for Zaozhuang in summer and autumn.In addition,because of the negative correlation between surface temperatures and NDVI,spring in particular,to increase the vegetation coverage is an effective solution to reduce the temperature and alleviate the urban heat island effect.
关 键 词:城市热岛 分裂窗算法 地表温度 时空变化 枣庄市
分 类 号:P463.3[天文地球—大气科学及气象学]
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