源-汇景观格局下银川植被生长季地表热环境研究OACHSSCD

Based on the three Landsat 8 remote sensing images in 2020,using GIS and RS technologies combined with spatial analysis and mathematical statistics methods,the surface temperature(LST)was selected,and the relative heat field intensity index(H),source-sink landscape contribution degree(CI),and other related factors were obtained.The urban-rural gradient method was used to analyze the surface thermal environment of Yinchuan City in vegetation growing season and the influence of local source-sink landscape pattern on it.The results indicate that the spatial pattern of LST during the growing season is significantly differentiated.The southwestern part of the study area remains in a relatively high-temperature state throughout the growing season.In spring and autumn,the average ground temperature in the urban area is lower than that in the suburbs,resulting in a cold island.In summer,the average ground temperature in the urban area is higher than that in the suburbs,forming a strip-shaped heat island in the east and an elliptical heat island in the southwest.Green spaces and water bodies are heat sink landscapes,while impervious surfaces and other landscapes are heat source landscapes.The source-sink landscapes have a strong correlation with LST.The impervious surface landscape is positively correlated with other land views,and there is little difference between them and LST.Temperature of water bodies is the lowest but its influence range is relatively small.and green spaces are the most common medium-temperature landscapes and can effectively reduce temperature.From the perspective of the sink-source landscape area ratio,when the ratio is greater than 0.88(sink area density＞0.47),the local landscape has a significant cooling effect.