Standing corn residue effects on soil frost depth, snow depth and soil heat flux in Northeast China

2017 ◽  
Vol 165 ◽  
pp. 88-94 ◽  
Author(s):  
Gang Wang ◽  
Honglei Jia ◽  
Lie Tang ◽  
Yili Lu ◽  
Li Guo ◽  
...  
Keyword(s):  
Heat Flux ◽  
Snow Depth ◽  
Northeast China ◽  
Soil Heat Flux ◽  
Soil Frost ◽  
Frost Depth ◽  
Corn Residue

Simulation of Soil Frost Depth and Effect on Runoff

1989 ◽  
Vol 20 (1) ◽  
pp. 9-24 ◽  
Author(s):  
Bertel Vehviläinen ◽  
Yuri Motovilov
Keyword(s):  
Snow Depth ◽  
Depth Information ◽  
Precipitation Data ◽  
Soil Frost ◽  
Second Stage ◽  
Verification Period ◽  
Physically Based ◽  
Frost Depth ◽  
Runoff Model ◽  
Small Basin

A physically based soil frost depth model usable with air temperature data and precipitation data, is presented. Snow depth is calculated from precipitation data using a physical snow cover model. The soil frost depth model is tested in one small basin, with a five-year calibration and verification period. Results from snow depth and soil frost depth simulation were satisfactory also in the verification period. In the second stage simulated frost depth information was used to develop an HBV-runoff model version, attempting to simulate the possible effect of soil frost on runoff. The simulation results are presented. These results suggest that soil frost does not have a very important effect on runoff in this forested basin.

In Situ Measurement of Soil Heat Flux with the Gradient Method

2003 ◽  
Vol 2 (4) ◽  
pp. 589
Author(s):  
Douglas R. Cobos ◽  
John M. Baker
Keyword(s):  
Heat Flux ◽  
Gradient Method ◽  
Soil Heat Flux ◽  
In Situ Measurement

scholarly journals Leaf area controls on energy partitioning of a temperate mountain grassland

2008 ◽  
Vol 5 (2) ◽  
pp. 421-431 ◽  
Author(s):  
A. Hammerle ◽  
A. Haslwanter ◽  
U. Tappeiner ◽  
A. Cernusca ◽  
G. Wohlfahrt
Keyword(s):  
Heat Flux ◽  
Latent Heat ◽  
Driving Forces ◽  
Vegetation Period ◽  
Soil Heat Flux ◽  
Energy Partitioning ◽  
Summer Drought ◽  
Evaporative Demand ◽  
Data Set ◽  
Mountain Grassland

Abstract. Using a six year data set of eddy covariance flux measurements of sensible and latent heat, soil heat flux, net radiation, above-ground phytomass and meteorological driving forces energy partitioning was investigated at a temperate mountain grassland managed as a hay meadow in the Stubai Valley (Austria). The main findings of the study were: (i) Energy partitioning was dominated by latent heat, followed by sensible heat and the soil heat flux; (ii) When compared to standard environmental forcings, the amount of green plant matter, which due to three cuts varied considerably during the vegetation period, explained similar, and partially larger, fractions of the variability in energy partitioning; (iii) There were little, if any, indications of water stress effects on energy partitioning, despite reductions in soil water availability in combination with high evaporative demand, e.g. during the summer drought of 2003.

scholarly journals Development of a Low-Cost Soil Heat Flux and Temperature Profile with Logger

2019 ◽  
Vol 5 (7) ◽  
pp. 51-58
Author(s):  
M. O. Osinowo ◽  
A. A. Willoughby ◽  
T . Ewetumo ◽  
L. B. Kolawole
Keyword(s):  
Heat Flux ◽  
Temperature Profile ◽  
Low Cost ◽  
Soil Heat Flux
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