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科尔沁梯级生态带大孔径闪烁仪与涡动相关仪观测显热通量间的尺度关系
引用本文:黄天宇,刘廷玺,李东方,段利民,王冠丽.科尔沁梯级生态带大孔径闪烁仪与涡动相关仪观测显热通量间的尺度关系[J].干旱区地理,2019,42(6):1346-1353.
作者姓名:黄天宇  刘廷玺  李东方  段利民  王冠丽
作者单位:内蒙古农业大学水利与土木建筑工程学院,内蒙古呼和浩特010018;中国中铁二院工程集团有限责任公司,四川成都610031;内蒙古农业大学水利与土木建筑工程学院,内蒙古呼和浩特010018;内蒙古自治区水资源保护与利用重点实验室,内蒙古呼和浩特010018
基金项目:国家自然科学基金重点国际合作研究与交流项目(51620105003);国家自然科学基金项目(51139002,51769020,51669017);教育部创新团队发展计划(IRT_17R60)资助
摘    要:利用2017年内蒙古科尔沁沙地梯级生态带上涡动相关仪和大孔径闪烁仪的观测数据,借助解析足迹模型计算的源区,探究荒漠化地区复杂下垫面上涡动相关仪和大孔径闪烁仪观测显热通量之间的差异和关系。结果表明:不论哪个风向上,农田是占研究区LAS源区比重最大的下垫面类型;不同风向、不同下垫面种类上LAS源区面积、各站点涡动源区面积均不同;不同下垫面EC观测的显热通量(H)与LAS观测值相关性不同,各EC与LAS观测值间的R2普遍偏低;HLASHEC聚合拟合程度较好,拟合系数为1.179 8,两者间具有较好的尺度相互转化关系。LAS观测数据偏大、能量闭合问题、非研究类型下垫面占比、数据的选择时段是影响二者相关性的原因。

关 键 词:大孔径闪烁仪  涡度相关仪  显热通量  梯级生态带  气候学足迹
收稿时间:2019-02-19

Scale relationship of sensible heat flux measured by large aperture scintillometer and eddy covariance system in Horqin cascade ecological zone
HUANG Tian-yu,LIU Ting-xi,LI Dong-fang,DUAN Li-min,WANG Guan-li.Scale relationship of sensible heat flux measured by large aperture scintillometer and eddy covariance system in Horqin cascade ecological zone[J].Arid Land Geography,2019,42(6):1346-1353.
Authors:HUANG Tian-yu  LIU Ting-xi  LI Dong-fang  DUAN Li-min  WANG Guan-li
Institution: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
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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