基于地理探测器的乌鲁木齐市主城区地表温度及其影响因素

The surface temperature and its influencing factors in the main urban area of Urumqi City based on the geodetector

基于2000、2010、2020年3期Landsat影像数据对乌鲁木齐市主城区地表温度进行反演,分析地表温度的空间分布格局及转移变化,结合空间自相关模型分析其空间聚集性及空间关联程度,运用地理探测器模型分析各影响因素对地表温度的解释力及其交互作用关系.结果表明,乌鲁木齐市主城区地表温度格局在稳中向好发展,地表温度呈“高减”、“中增”、“低不变”的特征,且绝大部分地区地表温度波动不明显;乌鲁木齐市主城区地表温度空间聚集性显著,但聚集性随着年份的增加呈波动降低,温度高-高聚集和低-低聚集的分布与温度较高等级(次高温、高温)和温度较低等级(次低温、低温)分布大体一致;地表温度受多种影响因素共同作用,其中归一化植被指数的解释力最大,土地利用的解释力最小,但土地利用的解释力随着年份的增加逐渐增加.

Based on the Landsat remote sensing image data for the three periods of 2000,2010,and 2020,the land surface temperature in the main urban area of Urumqi City was inverted,and the spatial distribution pattern and transfer changes of the land surface temperature analyzed,combined with the spatial autocorrelation model to analyze its spatial aggregation and spatial correlation degree.And the geographic detector model was used to analyze the explanatory power of each influencing factor on the land surface temperature and its interaction relationship.The results showed that the land surface temperature pattern in the main urban area of Urumqi City was developing steadily,with the characteristics of being"high decreasing","medium increasing"and"low constant",and the fluctuation of land surface temperature in most areas was not obvious.The spatial aggregation of land surface temperature in the main urban area of Urumqi City was significant,but the aggregation decreased with the increase of the year.The distribution of high temperature-high aggregation and low-low aggregation was related to higher temperature levels(sub-high temperature,high temperature)and lower temperature,and the distribution of grades(sub-low temperature,low temperature)was roughly the same.Land surface temperature was affected by a variety of influencing factors.Among them,normalized difference vegetation index had the largest explanatory power and land use the smallest explanatory power,but the explanatory power of land use gradually increased with the increase of years.