基于SEBS模型的西藏地区地表日蒸散量研究（英文）

编号 zgly0001584925

文献类型 期刊论文

文献题名 基于SEBS模型的西藏地区地表日蒸散量研究（英文）

作者 卓嘎  拉巴  普布次仁  罗布 

作者单位 TibetInstituteofPlateauAtmosphericandEnvironmentalScience 

母体文献 Journal of Geographical Sciences 

年卷期 2014年01期

年份 2014 

分类号 P426.2 

关键词 TAR  SEBS  P-Mmethod  ET  PET  estimationapproach 

文摘内容 The estimation of surface evapotranspiration(ET) with satellite dataset is one of the main subjects in the understanding of climate change,disaster monitoring and the circulation of water vapor and energy in Tibet Autonomous Region(TAR).This research selects satellite images on January 11,April 6,July 31 and October 19 in 2010 as the representative of winter,spring,summer and autumn respectively,estimates the distribution of daily surface ET based on the surface energy balance system(SEBS) along with potential evapotranspiration(PET) and ET derived from Penman-Monteith(P-M) method.The results are obtained as follows.(1) The seasonal distribution of ET and PET basically decreases from the southeast part to the northwest part of TAR.Although ET and PET have similar spatial distributions,there are still some differences to estimate the extreme values especially the maximum value in the middle and southeastern parts of TAR.No matter what kind of methods we adopted,the maximum value of ET and PET always appears in summer,followed by autumn or spring while that in winter is the smallest.(2) In order to better understand the accuracy of SEBS model in the estimation of ET,we compared the ET from SEBS and the ET obtained from P-M method.Results show that the ET from SEBS could estimates the variation trend of actual ET,but it slightly underestimates or overestimates the value of ET as a whole,especially for those areas with thick forest.(3) The spatial distribution of Normalized Difference Vegetation Index(NDVI) exhibits a decreasing trend from the southeast part to the northwest part of TAR which displays remarkable consistency of distributions between ET and vegetation index.ET is well positively related to NDVI,minimum,mean,maximum air temperature and sunshine duration in different seasons while negatively related to precipitation,relative humidity and wind speed in summer.