1. General Model Information

Name: EWQTPR 2.14 - EPIC Phase (real time).

Acronym: EWQTPR

Main medium: terrestrial
Main subject: agriculture, hydrology
Organization level: ecosystem, population
Type of model: not specified
Main application:
Keywords: Crop, soil, irrigation, water stress


Dr. Ph. Debaeke. (1) Dr. M. Cabelguenne. (2)
(1.) INRA, Centre de Recherches de Toulouse, Station d'Agronomie, B.P.27, 31326 Castanet-Tolosan Cedex, FRANCE.
(2.) Centre de Recherches de Toulouse, Station d'Agronomie, B.P.27 - Chemin de Borde Rouge, 31326 Castanet-Tolosan Cedex, FRANCE.
Phone: (1.) +33.61.285016 (2.) +33.61.285022
Fax: (1.) +33.61.735537 (2.) +33.61.735537
email: (1.) debaeke@toulouse.inra.fr (2.) cabelgue@toulouse.inra.fr



The real time EWQTPR model is a modified version of EPIC model adapted to water management. The new model consider a division of the crop cycle into 4 development phases based on thermal time, the effect of rooting pattern on water extraction profile and a differential sensitivity of the phases to water and nitrogen stress. The real time system allows the user to intervene during the simulation course, to view and possibly to correct some soil and plant indicators. Short-term weather forecast can be introduced to anticipate soil water depletion and decide of supplemental irrigation. EWQTPR has been developed to help decision making in irrigation under limited water resources and to evaluate different water management strategies (crop production, water use and N leaching). The model has been validated for wheat, maize and sunflower.

Purpose of the model:

Model parentage: EPIC.

Source of the Abstract CAMASE Register of Agro-ecosystems Models

II. Technical Information

II.1 Executables:

Operating System(s): PC (486 DX, RAM 8 Mo, DOS 6.0). Costs: None.

II.2 Source-code:

Programming Language(s): Microsoft FORTRAN-77.

II.3 Manuals:

II.4 Data:

III. Mathematical Information

III.1 Mathematics

III.2 Quantities

State variables: Crop biomass, leaf area index, volumetric water content, rooting depth, soil mineral content, plant N status. Output data: State variables, grain yield, harvest index, water use efficiency.

III.2.1 Input

Weather data (temperature, radiation, rain), soil properties by layer (texture, available soil water ...), initial water and nitrogen profile, crop parameters (40), crop management. Input check in model: Yes.

III.2.2 Output

State variables, grain yield, harvest index, water use efficiency.
Basic spatial unit: Ha.
Time interval of simulation: 1 day.

IV. References

Cabelguenne, M., Ph. Debaeke & J. Puech, 1994. 17th Conference Reg. Eur. Irrigation and Drainage (ICID), Varna, Bulgarie. 39-48
Debaeke, Ph., 1995. Agricoltura Mediterranea 125: 64-78
Quinones, H. & M. Cabelguenne, 1990. Agricoltura Mediterranea 120: 241-248

V. Further information in the World-Wide-Web

VI. Additional remarks

Parentage: EPIC
Last review of this document by: i> T. Gabele: Tue Oct 7 1997
Status of the document:
last modified by Joachim Benz Mon Jul 2 18:31:37 CEST 2007

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