Heat Island Effect And Its Influencing Factors In Built-up Area Of Taiyuan

With the acceleration of urbanization,the expansion of urban scale and the change of urban landscape pattern,the driving force of the urban heat island effect has increased and the formation has become complicated.In view of the significant impact of changes in urban thermal environment on the urban ecological environment,research on the intensity,pattern,causes,and pathways of urban heat island effect has gradually become a hot topic of urban ecological research since 1990s.This paper uses Taiyuan built-up area as the study area,and conducts temperature inversion and temperature grade classification on the remote sensing image of the fourth phase of the period from 2008 to 2016 in Taiyuan City,qualitatively analyzes the distribution of thermal environment in the built-up area of Taiyuan City,and quantitatively analyzes the temperature distribution and proportion.Situation and its spatial and temporal evolution.By analyzing the correlations between the indices NDVI,NDWI,BSI and inversion temperature LST,the spatial and temporal changes in the distribution of heat islands in built-up areas of Taiyuan City are analyzed.The main research results obtained in this paper are as follows:1.Overview of research status of heat island effect.The research status of the urban heat island effect and the research status of the related index derived from the analysis of the heat island effect are summarized and summarized.Combined with the research progress of the heat island effect in the built-up area of the Taiyuan in this study area,the single-window algorithm of Tan Zhihao was selected to build the city of Taiyuan.District 2008-2016 remote sensing image temperature inversion2.After the fourth-phase remote sensing image passes the data preprocessing and other steps,the surface temperature inversion diagram is obtained after the Hao Zhihao single window algorithm.The surface temperature was graded by the mean-standard deviation method.The temperature class diagram is obtained,and the proportion of each temperature class is calculated,and the change rule of its time and space is quantitatively analyzed.3.Select remote sensing images on September 7,2016,calculate three indexes of NDVI,NDWI,and BSI,and analyze the correlation analysis between index NDVI,NDWI,BSI,and surface temperature LST through two-dimensional scatter plot and linear regression.ND~WI There is a moderate negative correlation between NDVI and LST,and there is a moderately positive correlation between BSI and LST.4.Perform the difference calculation between the three indices of the two landscape images in 2016 and 2008 and the normalized surface temperature to construct a vertical profile line,and analyze the change in the normalized surface temperature and the three index differences for the profile line.The reason for the spatial and temporal changes in the distribution of heat islands.5.Perform temperature inversion on May 28,2008,and perform the difference calculation between the three indices of the two scenes in May and September 2008 and the normalized surface temperature to construct a spatial longitudinal profile line and analyze the profile.The normalized land surface temperature and the difference between the three indices were changed to analyze the seasonal variation of the heat island distribution.