摘要
为探究山东省滨州市热岛强度的时空分布及其变化特征,通过2001、2009和2018年夏季的3期Landsat数据实现地表温度反演,并基于热岛强度定义对传统的均值—标准差分级法进行改进,能够较好地消除因背景数据不一致而导致不同时期热岛强度数据难于对比的问题。在此基础之上,分析热岛效应及其变化的时空分布特征,并结合土地利用类型数据进一步揭示其与热岛效应之间的关系。结果表明:(1)滨州市常温区分布最为广泛,人口密集的城镇区域为该市主要的热岛区,沿海区域、水库及河流沿岸为主要的冷岛区。(2)3 a均为热岛和冷岛的区域面积占比分别为22.06%和25.85%。(3)强热岛区中建设用地和未利用地的占比明显高于其他热岛强度区中两者的占比,体现出该两种地类更强的热岛效应,强冷岛区则以水体为主。
To explore the spatial and temporal distribution characteristics and its variation characteristics of the heat island intensity in Binzhou city of Shandong province,the Landsat remote sensing image data in summer of 2001,2009 and 2018 was used to inverse the regional surface temperature.Based on the definition of heat island intensity,the traditional mean-standard deviation classification method was improved,which could better eliminate the problem that the heat island intensity data was difficult to compare due to inconsistent background data.On this basis,the spatial and temporal distribution characteristics of the heat island effect and its changes were analyzed,and the relationship between the land use type data and the heat island effect was further revealed by combining the land use type data.The results showed that:(1)The most widespread temperature area,and the densely populated urban areas of Binzhou were the main heat island areas.The coastal areas,reservoirs and rivers were the main cold island areas.(2)The common area of the heat island in the three years was 22.06%,and the area of the cold island in the three years was 25.85%.(3)The proportion of construction land and unused land in the strong heat island area was significantly higher than that of the other heat island intensity areas,reflecting the stronger heat island effect of the two types of land,and the strong cold island area is dominated by water bodies.
作者
任钟冬
黄玥
谭惠芝
王培涛
任建成
卢晓宁
REN Zhongdong;HUANG Yue;TAN Huizhi;WANG Peitao;REN Jiancheng;LU Xiaoning(Key Laboratory for Meteorological Disaster Prevention and Mitigation of Shandong,Jinan 250200,China;Binzhou Meteorological Bureau,Binzhou 256612,China;Yanzhou Meteorological Bureau,Jining 272100,China;School of Resources and Environment,Chengdu University of Information Technology,Chengdu 610225,China)
出处
《沙漠与绿洲气象》
2022年第2期40-47,共8页
Desert and Oasis Meteorology
基金
四川省科技计划项目(2018JY0098)
山东省气象局气象科学技术研究项目(2016sdqxm20)。
关键词
热岛效应
单窗算法
热岛强度
土地利用类型
滨州市
urban heat island effect
mono-window algorithm
heat island intensity
land use types
Binzhou city