large aperture scintillometer, eddy covariance system, sensible heat fluxes, cascade ecological zone, footprint climatology," /> large aperture scintillometer, eddy covariance system, sensible heat fluxes, cascade ecological zone, footprint climatology,"/> 涡度相关仪, 显热通量, 梯级生态带, 气候学足迹 ,"/> <span> </span> <span style="font-family:"Times New Roman",serif;"><span>Scale relationship of sensible heat flux measured by large aperture scintillometer and eddy covariance system in Horqin cascade ecological zone</span></span> <span> </span>
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Arid Land Geography ›› 2019, Vol. 42 ›› Issue (6): 1346-1353.doi: 10.12118/j.issn.1000-6060.2019.06.13

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Scale relationship of sensible heat flux measured by large aperture scintillometer and eddy covariance system in Horqin cascade ecological zone

HUANG Tian-yu1,LIU Ting-xi1,2,LI Dong-fang1,2,DUAN Li-min1,2,WANG Guan-li1,2   

  1. 1 Water Conservancy and Civil Engineering College,Inner Mongolia Agricultural University,Hohhot 010018,Inner Mongolia,China; 2 Inner Mongolia Key Laboratory of Water Resource Protection and Utilization,Hohhot 010018,Inner Mongolia,China; 3 China Railway Eryuan Engineering Group Co.,Ltd.,Chengdu 610031,Sichuan,China
  • Received:2019-02-19 Revised:2019-05-24 Online:2019-11-15 Published:2019-11-18

Abstract:

With the observed flux data by Eddy Covariance System (EC) and Large Aperture Scintillometer (LAS) on the Cascade Ecological Zone of Horqin Sandy Land in Inner Mongolia, China in 2017,and based on the analytical footprint model, the scale relationship of sensible heat flux between EC and LAS measurement in complex underlying surface in desertification area was analyzed. The results showed that farmland is the largest proportion of the LAS source area in the study area regardless of wind direction. The area of LAS source area and the EC area of different stations are different from different wind direction and different underlying surface types. The correlations between HLAS and HEC on different underlying surfaces are different, and all of the correlation coefficient are relative low. HLAS and Hsource area were well fitted and the correlation coefficient was 1.179 8. There was a good scale-to-scale relationship between them. The state that LAS observation data are larger than the real values, and the energy closure problem, the proportion of underlying surface of non-research type and the time period of data selection are the factors affecting their correlation.

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