Page 160 - Biosystems Engineering

Models for Heat Transfer in Heated Substrates 139

4.3 Models for Predicting Soil Temperature
Many models have been developed to predict soil temperature. Leav-
ing aside statistical models, all the models were based on the tran-
sient or steady heat-conduction equation for soils. Figure 4.2 is a dia-
gram of the models developed to predict soil temperatures.

4.3.1 Applications of the Models for
Predicting Soil Temperature
Models for predicting soil temperature can be classified according to the
application for which they were developed. The following factors must
be taken into consideration when applying temperature-prediction
models: surface cover, soil uniformity, soil water regime, management

Models for prediction of soil
temperature
Application

Surface Soil Water Management Climate
cover uniformity regime techniques
Dry Warm
Bare Homogeneous Mulch Solarization
Wet Irrigation Heating Temperate
Tilled Nonhomogeneous Saturated Row crops Cold
Methods
Statistical Physical Solution Combinations
Implicit
Regressions Geostatistics Type
Explicit
Analytical Numerical
Harmonic Finite
analysis difference
Filtering Finite Results
techniques elements
Spectral Electromagnetic Time
analysis analogy Combinations Hourly
Neural Daily
networks
Monthly
Annually
Input data

Fit coefficients Meteorological Soil characteristics Space
Surface
At depth
Air data Soil data Physical Soil surface
properties
Temperature Wind speed
Temperature Texture Roughness
Solar radiation Moisture Dimension
Structure Cover One-dimensional
Evapo-
Rainfall Two-dimensional
transpiration Thermal Crop
FIGURE 4.2 Models for describing soil temperature.