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SIMDualKc, A Software Tool for Water Balance Simulation Based on Dual Crop Coefficient

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  Computers in Agriculture and Natural Resources, 4th World Congress Conference, Proceedings of the 24-26 July 2006 (Orlando, Florida USA) Publication Date 24 July 2006  701P0606.(doi:10.13031/2013.21973)
Authors:   João Rolim, Pedro Godinho, Bruno Sequeira, Ricardo Rosa, Paula Paredes and Luis Santos Pereira
Keywords:   simulation models, irrigation scheduling, dual crop coefficients, soil water balance, crop evapotranspiration

SIMDualKc is a software application for soil water balance simulation, based on the dual crop coefficient (Kcb + Ke). The main goal of this software is to develop a tool to compute crop water requirements, particularly focused on vegetables and orchards, which have high irrigation frequencies and have a fraction of the ground surface with bare soil during the irrigation season. This model was developed either to operate alone carrying out all the computational procedures or to be integrated with other irrigation scheduling models, such as WINSAREG for the adoption of the dual Kc approach. In addition, this model can also be used to real-time irrigation scheduling, for assessing the evolution of the soil water content. The SIMDualKc model was developed using a three tiers architecture approach. Thus, three different components were built: a graphic user interface (GUI), a mathematical model and a database. The computational module was built to enable an easy integration with the WINISAREG model or to be operated alone through the GUI. This feature was achieved using two abstract interfaces: one that links the computation module with the GUI or with a selected model; the other to perform the connection with the different databases using queries. The data structure of this model, clearly separating the algorithm procedures from the database, enables the connection of this application to different databases, including a georeferenced database (GIS). This model was validated for the irrigation project of Fergana valley, Uzbequistan, showing a good adherence of model results to field observations.

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