Characteristics of Surface Heat Flux in Shanghai During Summer and Its Influencing Factors

被引：0
|
作者：
Lu Y. [1 ]
Li Y. [1 ]
Shigetoshi I. [2 ]
Yasumitsu N. [2 ]
Wang R. [1 ]
机构：
[1] Institute of Refrigeration and Cryogenics, Shanghai Jiao Tong University, Shanghai
[2] Advanced Technology R&D Center, Mitsubishi Electric Corporation, Hyogo
来源：
Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University | 2019年 / 53卷 / 08期
关键词：
Soil moisture content; Solar radiation; Surface heat flux; Thermal diffusion equation-correction (TDEC) method; Typical days;
D O I：
10.16183/j.cnki.jsjtu.2019.08.001
中图分类号：
学科分类号：
摘要：
The test accuracy of soil heat flux at 5 mm is verified through thermal diffusion equation-correction (TDEC) method, which can represent the surface heat flux. Meanwhile, considering different factors (solar radiation, soil moisture content and cloud cover, etc. ), the diurnal variations of heat flux on three kinds of typical days (clear, cloudy and rainy days) are summarized in Shanghai. The influence of different factors on soil heat flux at 5 mm and the principles are comprehensively analyzed through variable control approaches. The results show that soil heat flux at 5 mm obviously fluctuates on clear days, from -23.62 W/m2 to 111.81 W/m2. The fluctuation range decreases with the decrease of soil depth on cloudy and rainy days. The correlation (R2>0.74) between solar radiation and soil heat flux is strong on days without rain. The fluctuation range of soil heat flux is reduced by the increase of soil moisture content. Soil heat flux of different typical days is mostly affected by different factors. © 2019, Shanghai Jiao Tong University Press. All right reserved.
引用
收藏
页码：891 / 897
页数：6
相关论文
共 19 条
  • [1] Xi J., Qin X., Li S., Et al., Research on annual operation performance of large scale ground source heat pumps in Hangzhou, Chinese Journal of Refrigeration Technology, 37, 1, pp. 48-54, (2017)
  • [2] Feng L., Zhong L., Ma Y., Et al., Estimation of soil heat flux over the Northern Tibetan Plateau based on in-situ soil temperature and moisture data, Plateau Meteorology, 35, 2, pp. 297-308, (2016)
  • [3] Heitman J.L., Horton R., Sauer T.J., Et al., Latent heat in soil heat flux measurements, Agricultural and Forest Meteorology, 150, 7-8, pp. 1147-1153, (2010)
  • [4] Lu S., Ma C.M., Meng P., Et al., Experimental investigation of subsurface soil water evaporation on soil heat flux plate measurement, Applied Thermal Engineering, 93, pp. 433-437, (2016)
  • [5] Li N., Jia L., Lu J., An improved algorithm to estimate the surface soil heat flux over a heterogeneous surface: A case study in the Heihe River Basin, Science China: Earth Sciences, 45, 4, pp. 494-507, (2015)
  • [6] Zuo J., Wang J., Huang J., Et al., Estimation of ground heat flux for a semiarid grassland and its impact on the surface energy budget, Plateau Meteorology, 29, 4, pp. 840-848, (2010)
  • [7] Murray T., Verhoef A., Moving towards a more mechanistic approach in the determination of soil heat flux from remote measurements. I. a Universal Approach to Calculate Thermal inertia, Agricultural and Forest Meteorology, 147, 1-2, pp. 80-87, (2007)
  • [8] Wang Z.H., Bou-Zeid E., A novel approach for the estimation of soil ground heat flux, Agricultural and Forest Meteorology, 154-155, pp. 214-221, (2012)
  • [9] Arias-Penas D., Castro-Garcia M.P., Rey-Ronco M.A., Et al., Determining the thermal diffusivity of the ground based on subsoil temperatures: Preliminary results of an experimental geothermal borehole study QTHERMIE-UNIOVI, Geothermics, 54, pp. 35-42, (2015)
  • [10] Bense V.F., Read T., Verhoef A., Using distributed temperature sensing to monitor field scale dynamics of ground surface temperature and related substrate heat flux, Agricultural and Forest Meteorology, 220, pp. 207-215, (2016)
12