Earth Science Frontiers. 2014, (04) Core

Actual evapotranspiration estimation in Qaidam Basin based on Moderate Resolution ImagingChinese Full Text

GUO Renhong;JIN Xiaomei;WANG Xiaolin;HU Guangcheng;School of Water Resources and Environment,China University of Geosciences(Beijing);Hainan Institute of Geological Survey;State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences;

Abstract: In an arid inland basin,evapotranspiration（ET）is the major loss related to the water balance and precise estimation of ET is essential for evaluation of available water resources in these areas.The study of actual evapotranspiration on a regional scale has great significance for environmental protection.Based on SEBS algorithm（Surface Energy Balance System）,the ET was estimated using DEM data,MODIS data and GLDAS data over the Qaidam Basin from 2001to 2011at a spatial resolution of 500m.What’s more,the longterm change and spatial distribution of ET and its relationship with pan observed evaporation in the Qaidam Basin were studied.The result indicated that the annual actual ET of Qaidam Basin increased with time and the value varied from 72.73mm in 2001to 182.34mm in 2011,and the maximum of the mean daily ET varied between 2.62mm and 3.20mm during the year 2001to 2011.The evaporation coefficient is 0.14in the Qaidam Basin.The analysis of NDVI and its corresponding ET presented that the NDVI threshold between bare soil and vegetation is 0.055in the Qaidam Basin.The water bodies had highest mean daily ET（2.31mm/d）though they only make up 1.92% of the study area.The mean daily ET of bare soil,sparse shrub,dense shrub,grassland,farmland and forest in the Qaidam Basin from June to September in the year 2010were0.24mm/d,0.42mm/d,1.21mm/d,1.12mm/d and 1.18mm/d,respectively.

Keywords：

evapotranspiration; Surface Energy Balance System（SEBS）; MODIS data; GLDAS data; Qaidam Basin;

DOI：
10.13745/j.esf.2014.04.012
Series：
Subject：
Classification Code：
P426.2

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Actual evapotranspiration estimation in Qaidam Basin based on Moderate Resolution ImagingChinese Full Text

GUO Renhong;JIN Xiaomei;WANG Xiaolin;HU Guangcheng;School of Water Resources and Environment,China University of Geosciences(Beijing);Hainan Institute of Geological Survey;State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences;

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