作物需水量预报的优化模型  

Optimal Models for Prediction of Crop Water Requirements

作　　者：胡彦华[1] 熊运章[1] 

机构地区：[1]西北农业大学水利与建筑工程系,陕西杨陵712100

出　　处：《西北农业大学学报》1993年第4期6-12,共7页Journal of Northwest Sci-Tech University of Agriculture and Forestry（Natural Science Edition)

基　　金：水利部资助课题

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ET_0,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ET_0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ET_0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。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.

关 键 词：多元回归 作物 需水量 预报 计算机 

分 类 号：S274.1[农业科学—农业水土工程]