Agriculture Reference
In-Depth Information
Fig. 10.2 Schematic of a
conceptual model for
irrigation
Start Model
IRRIGATION
Inputs:
- soil data - rainfall data
- crop data - water-table depth
- pan evaporation
- pan factor
Input
Irrigation interval
Output
No
Option to include
leaching fraction
Yes
Input LR or EC w and
EC e
Irrigation depth
Output
Option to calculate
for another crop
Yes
No
Stop
Sensitivity testing is an integral part of the model development process, usu-
ally accompanying the calibration/verification phases. It provides information on
the relative importance of model parameters and their influence on model response
in terms of state variables simulated. Within the period of model development, espe-
cially at the time of sensitivity analysis, it is appropriate to fix the character of the
model, i.e., to provide documentation for the user.
The real test of model performance is in application. This may reveal deficien-
cies in model, requiring appropriate modification in structure, formulation, solution
technique, parameter estimates, or basic data.
10.2.5 Model Calibration, Validation and Evaluation
The model evaluation procedure involves both calibration and validation of the
model. Before simulation models are used, they need to be calibrated and validated
for the conditions under which they will be used.
 
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