干旱区研究2024，Vol.41Issue(5)：765-775,11.DOI:10.13866/j.azr.2024.05.05
复杂山区地表温度模拟及影响
Simulation of land surface temperature in complex mountainous terrain and the influence of environmental factors:A case study in Daqingshan,Inner Mongolia
摘要
Abstract
This study aimed to spatially and temporally characterize not only land surface temperature(LST)in the complex mountainous terrain of Daqingshan,Inner Mongolia but also the environmental factors affecting it.We used the Weather Research and Forecasting Mode(WRF)used to obtain LST data with high temporal and spa-tial resolution and analyze the variation of mountain influencing factors.The accuracy of the WRF simulated LST(WRF LST)was verified by the observation values of meteorological stations and MODIS LST values,and the re-lationship between LST and environmental factors was analyzed by the method of comprehensive impact factor analysis and the method of single impact factor analysis.The comprehensive impact factor analysis is based on re-gional WRF LST and regional environmental factors.Single impact factor analysis achieves the relationship be-tween WRF LST and single environmental factors by fixing other environmental factors.The results revealed that the correlation coefficients between the simulated and observed values were>0.97(P<0.001)and the spatial cor-relation with MODIS LST was 0.73(P<0.05),indicating that WRF has good practicability in mountainous areas.After comprehensive impact factor analysis,it was found the annual WRF LST had the greatest correlation with elevation(R>0.97),followed by temperature at 2 m and water/air mixing ratio at 2 m(R>0.8),vegetation cover-age and slope(R>0.3),and other factors.By single impact factor analysis,LST decrease rate with elevation was 0.83 K·(100m)-1,0.79 K·(100m)-1,0.80 K·(100m)-1 and 0.32 K·(100m)-1 in spring,summer,autumn and winter,and it increased by-0.05 K,0.17 K,-0.14 K,and 0.02 K for every 10°increase in slope in spring,summer fall winter,respectively.LST also increased for every 10%increase in vegetation cover by 0.31 K,1.41 K in summer and winter,and was not correlated with fall.The slope direction and average LST for the four seasons were south>southwest>southeast>west>east>northwest>northeast>north.The 2 m water-air mixing ratio increased logarithmi-cally with LST,while the 2 m air temperature increased exponentially with LST.This study demonstrated that the WRF model can be used to simulate the spatial and temporal distribution of LST in mountainous terrain and ana-lyze the LST relationship in complex mountain environments.关键词
WRF模式/地表温度/环境因子/内蒙古大青山Key words
WRF model/land surface temperature/environmental factors/Daqingshan of Inner Mongolia引用本文复制引用
赵立超,张成福,贺帅,苗林,冯霜,潘思涵..复杂山区地表温度模拟及影响[J].干旱区研究,2024,41(5):765-775,11.基金项目
自治区自然科学基金(RZ2200001285) （RZ2200001285）
