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[1]WU Hai-long,YU Xin-xiao,ZHANG Yan,et al.Dynamic Changes in Sensible Heat Flux of Heterogeneous Surface and Response to Environment Factors[J].Research of Soil and Water Conservation,2013,20(04):160-165,171.

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Dynamic Changes in Sensible Heat Flux of Heterogeneous Surface and Response to Environment Factors

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 20 Number of periods: 2013 04 Page number: 160-165,171 Column: Public date: 2013-08-28

Title:: Dynamic Changes in Sensible Heat Flux of Heterogeneous Surface and Response to Environment Factors

Author(s):: WU Hai-long¹, YU Xin-xiao¹, ZHANG Yan¹, LI Yi-tao¹, LIU Xu-hui¹, HUANG Zhi-ying²; 1. Key Laboratory of Soil and Water Conservation and Desertification Combating of Ministry of Education, Beijing Forestry University, Beijing 100083, China;
2. Civil Engineering Survey and Design Institute of Jiangxi Province, Yichun, Jiangxi 336000, China

Keywords:: sensible heat flux; dynamic change; principal component analysis; heterogeneous underlying surface; large aperture scintillometers(LAS); correlation analysis

CLC:: S718.5

DOI:: -

Abstract:: One year LAS(Large Aperture Scintillometers(LAS) and meteorological observed data were employed to investigate sensible heat flux over heterogeneous surface from July 2010 to June 2011. The main impacting factors on sensible heat were selected via principal component analysis and correlation analysis. The results showed that: (1) the sensible heat flux in Jiufeng park was closely related to the weather changes and varied in different seasons which was similar to that over plane surface or uniform terrain. Peak values were observed in all four typical sunny days and it moved to morning from 11 o’clock during a year. The sensible fluctuation was the most obvious in September equinox and winter solstice was the least. The sensible heat was maximum in June solstice and least in winter solstice; (2) the principal component analysis suggested that soil temperature, soil moisture, air temperature, ET, wind speed, wind direction and Rn were the main impact factors while the dominant factors were different in different typical sunny days; (3) soil moisture and soil temperature showed the most significant correlation with H, wind speed and wind direction also expressed significant correlation with H because of the complex vegetation and terrain. The results would be helpful for understanding sensible heat flux in complex mountain areas.

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