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基于Excel平台土壤含水量多元回归预测模型 被引量:5

Multiple Regression Model for Soil Moisture Prediction on Excel-based Platform
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摘要 土壤含水量是表述土壤干湿程度,反映旱情最直接的重要指标。土壤含水量预测能够反映未来某一时段农牧业旱情发展趋势,为开展旱情预警、各级领导和政府部门指挥抗旱减灾提供决策性依据。以降水、蒸发、风速等实测信息源为影响因子,以Excel为技术平台,创建了土壤含水量多元回归预测模型。该预测模型创建方法简单易行,便于改造和移植,有进一步推广价值。 Soil moisture content is expressed in soil moisture levels,reflecting the most direct and important indicator of drought. Soil moisture forecast to reflect the future development trend of a certain period of agricultural drought ,for carrying out the drought early warning,command and leadership at all levels and departments to provide decision-making basis for drought mitigation. In this paper, precipitation,evaporation,wind and other sources of information as influencing factors measured to Excel as technology platforms, creating a multiple regression model for soil moisture prediction. The forecast model creation method is simple, easy to transform and transfer.
出处 《水文》 CSCD 北大核心 2015年第2期65-69,89,共6页 Journal of China Hydrology
关键词 Excel平台 土壤含水量 多元回归 预测模型 Excel platform soil moisture regression prediction model
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