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《Journal of Northwest Sci-Tech University of Agriculture and Forestry》 1993-04
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Optimal Models for Prediction of Crop Water Requirements

Hu Yanhua Xiong Yunzhang(Department of Hydraulic Engineering, Northwestern Agricultural University, Yangling,Shaanxi,China,712100)  
The prediction of crop water requirements is the base of the prediction of soil moisture and irrigation conditions in the irrigation system. Based on the analysis of meterological data from the Jinghui and Lohui Irrigation System as well as Jia-kou Irrigation System by diverting the waters from the Weihe River, ET0 prediction models for crop water requirements with the changes in air temperature and weather states were established using the factor analysis method. Also, the correlative analysis, consistency and significant test of the six kinds of established models per month were carried out thereby to select mathematical models for ET0 prediction suitable to the irrigation systems through the comprehensive evlution. Accordingly, the models for the prediction of crop water requirements and their optimal universal computer softwaters were developed.
【Fund】: 水利部资助课题
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