双鸭山市城市热岛效应时空格局变化及模拟预测

Spatial-Temporal Evolution and Simulation of Urban Heat Island Effect in Shuangyashan City

目前针对资源型城市的热岛研究重视不够,且模拟过程中缺乏指标与热岛之间的相关性论证,空间精度和模型复杂度难以平衡。论文以资源型城市双鸭山市为例,利用多时相Landsat TM/OLI遥感影像反演地表温度,在分析植被指数、建筑指数、夜间稳定灯光值、城市地表沉降速率与地表温度相关性的基础上,利用人工神经网络模拟预测了双鸭山市2024年城市热岛效应空间分布,为双鸭山市转型过程中的城市规划和热生态环境治理提供辅助决策。

At present,researchers don’t pay enough attention to urban heat island effect of resource-based cities,and they are short of the discussions on correlations between indexes and urban heat island effect in the simulation process,which makes it difficult to balance the spatial accuracy and model complexity.Taking Shuangyashan as the case study,this paper inversed the land surface temperature based on the Landsat TM/OLI images in three periods.On this basis,the study further analyzed the correlation between the normalized difference vegetation index,the normalized difference built-up index,stable night light value,urban ground surface settlement with the land surface temperature,and using these indexes as key drivers to simulate the spatial distribution of urban heat island effect of Shuangyashan city in 2024 that based on the ANN-CA-Markov model.It could provide auxiliary decisions for urban planning and heat ecological environment management in the transformation period of Shuangyashan city.