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基于均值—标准差改进的滨州市多时相热岛强度变化分析
引用本文:任钟冬,黄玥,谭惠芝,王培涛,任建成,卢晓宁.基于均值—标准差改进的滨州市多时相热岛强度变化分析[J].新疆气象,2022,16(2):40-47.
作者姓名:任钟冬  黄玥  谭惠芝  王培涛  任建成  卢晓宁
作者单位:滨州市气象局,济宁市兖州区气象局,成都信息工程大学 资源环境学院,滨州市气象局,滨州市气象局,成都信息工程大学 资源环境学院
基金项目: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)
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...

关 键 词:热岛效应  单窗算法  热岛强度  土地利用类型  滨州市
收稿时间:2020/6/18 0:00:00
修稿时间:2021/5/9 0:00:00

Multi-temporal Analysis of Urban Heat Island Intensity Variation in Binzhou City Based on Improved Mean-Standard Deviation
REN Zhong-dong,HUANG Yue,TAN Hui-zhi,WANG Feng-jiao,REN Jian-cheng and LU Xiao-ning.Multi-temporal Analysis of Urban Heat Island Intensity Variation in Binzhou City Based on Improved Mean-Standard Deviation[J].Bimonthly of Xinjiang Meteorology,2022,16(2):40-47.
Authors:REN Zhong-dong  HUANG Yue  TAN Hui-zhi  WANG Feng-jiao  REN Jian-cheng and LU Xiao-ning
Institution:Binzhou Meteorological Bureau of Shandong Province,Shandong,Yanzhou Meteorological Bureau of Shandong Province,School of Resources and Environment,Chengdu University of Information Technology,Sichuan,Binzhou Meteorological Bureau of Shandong Province,Shandong,Binzhou Meteorological Bureau of Shandong Province,Shandong,School of Resources and Environment,Chengdu University of Information Technology,Sichuan
Abstract:In order to explore the temporal and spatial distribution characteristics and its variation characteristics of the heat island intensity in Binzhou City, Shandong Province, this paper implements the regional surface temperature inversion through the three-phase Landsat remote sensing image data in the summer of 2001, 2009 and 2018, and based on the definition of heat island intensity improvement to the traditional mean. Standard Deviation Level Division Method has been made, which can better eliminate the problem that the heat island intensity data is difficult to compare due to inconsistent background data. On this basis, the temporal and spatial distribution characteristics of the heat island effect and its changes are analyzed, and the relationship between the land use type data and the heat island effect is further revealed by combining the land use type data. The results show that: 1) The most widespread temperature area, and the densely populated urban areas of Binzhou are the main heat island areas. The coastal areas, reservoirs and rivers are the main cold island areas. 2) The area of the heat island in the three years is 22.06%, and the area of the cold island in the three years is 25.85%. 3) The proportion of construction land and unused land in the strong heat island area is 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 main proportion of the strong cold island area the water and the water area is averagely greater than 53%.
Keywords:urban heat island effect  mono-window algorithm  heat island intensity  land use types  Binzhou City
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