The relationship between urban land cover and thermal environment in different temporal-spatial scale

Abstract

To understand the changes in the urban thermal environment and the changes in different seasons this study obtained spatial data from historical climate data from 1999 to 2018 in the southwestern Taiwan station and Landsat satellite images from different years and quantified its presence in the area using a ring analysis method Analysis and comparison of the changes in the past two decades found that the surface factor image was most obvious in the range of 250 meters Successively adopting moving average to find the stations with obvious temperature increase and confirm the degree of temperature change according to the annual average temperature increase and the annual mean temperature anomaly Spatial data such as land cover is calculated based on the proportion of the built-up area and roads in the area as a regression analysis factor to represent the degree of urban development In the Chiayi area the impact of surface differences between stations on the thermal environment is mainly discussed The analysis is based on observation and remote sensing data The measured data from the year 2018 / 09-2019 / 09 and the data from the CWB are used as the source of climate data Landsat satellite images are used as advanced spatial classification maps for Land Cover Local Climate Zones and building height to compare the characteristics of different stations at different time and distribution The results show that according to different scales long-term analysis can use the annual mean temperature change anomaly and the impervious area change rate in the ring area and small-scale short- term use day and night temperature and impervious rate and station distance Between large-scale cities the stations of the impervious surface increase greatly and the annual mean temperature anomaly is large When discussing the large-scale long-term surface changes it is found that when the impervious surface area has a high rate of change the annual mean temperature anomaly is also high On a small scale the relationship between impermeability and station distance and temperature is more significant at night The results of small-scale surface difference analysis found that the station temperature in the urban area is higher than that in the suburbs During the day and night of the four seasons the temperature and impermeability are positively correlated and it is more significant at night

Date of Award	2020
Original language	English
Supervisor	Tzu-Ping Lin (Supervisor)