scholarly journals HARMONIC ANALYSIS AND MODELLING OF ANNUAL SOIL TEMPERATURE VARIATIONS

MAUSAM ◽  
2022 ◽  
Vol 45 (2) ◽  
pp. 121-128
Author(s):  
A. LIAKATAS
Keyword(s):  
Soil Moisture ◽  
Thermal Properties ◽  
Heat Conduction ◽  
Soil Temperature ◽  
Harmonic Analysis ◽  
Annual Variation ◽  
Pan Evaporation ◽  
Temperature Variations

Harmoni c analysi s using se ries is applied to th e annual variation s of so il tem pe rature From th esurface down to I III depth. TIle fir st harmo nic alon e expla ins about 99% of the variation .II is also shO\\TI th at heat conduction is nor valid in a soil med iuIIIunder exothermic conditions. especially in th euppermost layer of abom 20 em. as neither the thermal properties. exp ressed by the damping depth (D), nor th e meansoil temperature (nremai n constant with depth . and th e am plitude ofoscilla tio n (.4:) does nOI vary strictly expcnen rially.Thi s is as sumed to be con sider ably reduced soil moisture of thi s in compari son with deeper layers,Finally. cons truction of a mod el to predict mon thly or ten-d ay period mean soil temper atures is based' onwr-at h e r vari ab les (difference between precipitation and pan evaporation), providing an ind ex for the soil moisturede ficit and an est imate of D. and overcomes the difficulties of ch angi ng T and A: with depth.  

A NONLINEAR INVERSE HEAT CONDUCTION TECHNIQUE TO ESTIMATE THERMAL PROPERTIES OF METALS

2020 ◽  
Author(s):  
Mariana de Melo Antunes ◽  
Rodrigo Gustavo Dourado da Silva ◽  
Nícolas Pinheiro Ramos ◽  
Sandro Metrevelle Marcondes de Lima e Silva
Keyword(s):  
Thermal Properties ◽  
Heat Conduction ◽  
Inverse Heat Conduction

Ecological responses of Stipa steppe in Inner Mongolia to experimentally increased temperature and precipitation. 3. Soil respiration

2018 ◽  
Vol 40 (2) ◽  
pp. 153 ◽  
Author(s):  
Xuexia Wang ◽  
Yali Chen ◽  
Yulong Yan ◽  
Zhiqiang Wan ◽  
Ran Chao ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Soil Respiration ◽  
Soil Temperature ◽  
Respiration Rate ◽  
Inner Mongolia ◽  
Growing Season ◽  
Climatic Warming ◽  
Soil Respiration Rate ◽  
Natural Rainfall ◽  
Temperature And Precipitation

The response of soil respiration to simulated climatic warming and increased precipitation was evaluated on the arid–semi-arid Stipa steppe of Inner Mongolia. Soil respiration rate had a single peak during the growing season, reaching a maximum in July under all treatments. Soil temperature, soil moisture and their interaction influenced the soil respiration rate. Relative to the control, warming alone reduced the soil respiration rate by 15.6 ± 7.0%, whereas increased precipitation alone increased the soil respiration rate by 52.6 ± 42.1%. The combination of warming and increased precipitation increased the soil respiration rate by 22.4 ± 11.2%. When temperature was increased, soil respiration rate was more sensitive to soil moisture than to soil temperature, although the reverse applied when precipitation was increased. Under the experimental precipitation (20% above natural rainfall) applied in the experiment, soil moisture was the primary factor limiting soil respiration, but soil temperature may become limiting under higher soil moisture levels.

Analytical Model to Predict Nonhomogeneous Soil Temperature Variation

1995 ◽  
Vol 117 (2) ◽  
pp. 100-107 ◽  
Author(s):  
M. Krarti ◽  
D. E. Claridge ◽  
J. F. Kreider
Keyword(s):  
Thermal Properties ◽  
Soil Temperature ◽  
Temperature Variation ◽  
Analytical Model ◽  
Soil Surface ◽  
Deep Soil ◽  
Soil Thermal Properties ◽  
Order Of Magnitude ◽  
Soil Surface Temperature ◽  
Annual Time

This paper presents an analytical model to predict the temperature variation within a multilayered soil. The soil surface temperature is assumed to have a sinusoidal time variation for both daily and annual time scales. The soil thermal properties in each layer are assumed to be uniform. The model is applied to two-layered, three-layered, and to nonhomogeneous soils. In case of two-layered soil, a detailed analysis of the thermal behavior of each layer is presented. It was found that as long as the order of magnitude of the thermal diffusivity of soil surface does not exceed three times that of deep soil; the soil temperature variation with depth can be predicted accurately by a simplified model that assumes that the soil has constant thermal properties.

A six year study of earthworm (Lumbricidae) populations in pasture woodland in southern England shows their responses to soil temperature and soil moisture

2009 ◽  
Vol 41 (9) ◽  
pp. 1857-1865 ◽  
Author(s):  
Paul Eggleton ◽  
Kelly Inward ◽  
Joanne Smith ◽  
David T. Jones ◽  
Emma Sherlock
Keyword(s):  
Soil Moisture ◽  
Soil Temperature ◽  
Southern England
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