Research on Heat Environment of Beijing-Tianjin-Tangshan Urban Group Based on Multisource Satellite Data
Based on FY-3A/B, MODIS/Aqua and NOAA18/AVHRR satellite data, using urban surface heat island intensity (UHII) and urban heat island proportion index (UHPI), the temporal and spatial variation of urban heat island for Beijing-Tianjin-Tangshan urban group region is monitored and analysed. And combined with land surface parameters such as vegetation cover and impervious surface cover by Landsat-TM satellite data, climate background factors such as mean air temperature and 0cm ground temperature and community economy factors such as GDP, population, water consumption, electricity consumption and anthropogenic heat, the causes of the difference of heat environmentamong different cities are analysed. Results show that the UHII estimated by different satellite data can reflect temporal and spatial variation of urban heat island. Value of heat island intensity on high temperature weather condition is not necessarily higher than on non-high weather condition. Change of urban heat island by remote sensing has consistency by meteorological observation only in night. That is, the heat island intensity is the highest in winter and is the lowest in summer, but on the contrary in day. The UHPI estimated in 2012 for different countries in Beijing-Tianjin-Tangshan urban group region shows that Tianjin municipal district, Beijing municipal district and Chaoyang district are the first three high heat island intensity districts and the UHPIs are 0.86, 0.85 and 0.74, seperately. The UHPI of Tangshan district is also achieved 0.50. The analysis of the causes showes that impervious surface cover is most important underlying surface factor. Land surface temperature by remote sensing can reflects more spatial distribution of heat island than by meteorological observation. Heat island intensity for cities in Beijing-Tianjin-Tangshan area has linear positive correlation with GDP, population, water consumption, electricity consumption and the determination coefficientsR2 of the linear corresponding regression models are 0.5131, 0.4853, 0.4836 and 0.306, respectively. And heat island intensity has logarithm correlation with anthropogenic heat and the determination coefficientR2 is 0.6723. Impervious surface cover, water consumption per capita and mean air temperature are the most important factors of heat environment difference in Beijing-Tianjin-Tangshan area. They reflect respectively effect of underlying surface parameters, community economy activity and climate background on spatial difference of urban heat island.
urban heat island intensityheat island proportion indextemporal and spatial variationanalysis of causesimpervious surface coverBeijing-Tianjin-Tangshan
国家科技期刊平台
NSTL
万方数据
维普
