| 摘要: |
| 作物需水量预报是灌区土壤墒情预报和灌溉预报的基础。通过对关中泾惠、洛惠和交口抽渭灌区气象资料的分析,用彭曼法计算了历史潜在蒸散量ET0,利用因子分析法建立了灌区作物需水量随气温、天气而变化的ET0预报模型,对建立的每月六种模型作进一步的相关分析、符合性、显著性检验,进而由综合评判优选出了适合于灌区ET0预报的数学模型,开发了作物需水量预报模型建立与优化的通用计算机软件。 |
| 关键词: 作物需水量,预报模型,多元回归,计算机应用 |
| DOI： |
| 分类号: |
| 基金项目:水利部资助课题 |
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| Optimal Models for Prediction of Crop Water Requirements |
|
Hu Yanhua Xiong Yunzhang
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| Abstract: |
| 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 Jiakou 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. |
| Key words: crop water requirement,prediction model,multiple regression,computer application |
