快速城市化山地城市地表温度的多维梯度——以重庆市主城区为例

以重庆市主城区为研究对象，利用TM/ETM⁺和MODIS数据获取地表温度（LST）和相对热岛强度（RHII），分析其在地形、人口和GDP等多维梯度上的分布规律以及可能存在的量化关系.结果表明： 研究区LST、RHII分别在高程和地形起伏度两个梯度上呈非单调下降趋势，表现为显著的二次多项式函数关系，其中，200~350 m高程段内的城市建设活动剧烈，热岛强度最大.RHII与人口密度和单位面积GDP之间均呈显著的线性关系，人口密度每增加1000人·km^-2，RHII上升0.10 ℃；单位面积GDP每增加1000万元·km^-2，RHII上升-0.08 ℃.

Multi-gradients of land surface temperature in mountainous cities with rapid urbanization: a case study in central area of Chongqing City

By using TM/ETM+ and MODIS images, the land surface temperature (LST) and relative heat island intensity (RHII) of the central area of Chongqing City were extracted to analyze the distribution patterns of the LST and RHII along the multi-gradients of topography, population, and gross domestic product (GDP) as well as the potential quantitative relationships. The LST and RHII manifested a non-monotonically decreasing trend along the gradients of elevation and relief degree, respectively, both with a significant quadratic polynomial relationship. The maximum RHII appeared at 200-350 m elevation section due to the massive urban construction activities, and had significant linear relationships with the population density and the GDP per square kilometer. The RHII rose about 0.10 degrees C when the population density increased 1000 people per square kilometer, and rose about 0.08 degrees C when the GDP per square kilometer increased 10 million RMB Yuan.