预测冬季不同结构大棚内气象要素值的不同数学模型比较研究

摘要

[目的]为有效调节大棚内的光照、气温和湿度提供理论依据.[方法]对3种常见结构塑料大棚内外150 cm的冬季光照、气温和湿度等气象要素进行对比观测、分析,建立预测不同结构大棚气象要素值的多种数学模型.[结果]单栋塑料大棚的光照预测模型以多项式y=-0.000 6x3+0.002 9x2+0.740 4x+0.079 9最为确切,气温预测模型以乘幕y =0.759 3x1.1554最为确切,相对湿度预测模型以多项式y =0.000 00 03x5-0.000 1x4+0.013 1 x3-0.873 2x2+29.823-347.99最为确切;3连栋塑料大棚的光照预测模型以多项式y=-0.000 5x2+0.470 61x-0.015最为确切,气温预测模型以指数函数y=4.662 9e0.089x最为确切,相对湿度预测模型以多项式y=-0.0004x3+0.0136x2+0.205 1x +35.056最为确切;6连栋塑料大棚的光照预测模型以直线y =0.399 6x+0.0536,最为确切,气温预测模型以指数函数y=4.622 7e0.897x最为确切,相对湿度预测模型以多项式y =-0.000 08x3+0.089x2+0.645 9x+21.191最为确切.[结论]建立了冬季以棚外气象要紊值预测不同结构大棚内气象要素值的数学模型.%[ Objective]The aim was to provide theory basis for effectively regulate illumination,temperature and humidity. [ Methods] Illumination,temperature and humidity within three common plastic canopies and 150 cm outside the plastic canopies in winter were comparatively observed and analyzed to establish multiple mathematical models what used for predicting meteorological elements within plastic canopy with different structures. [ Results]The light prediction model of single-span plastic canopy was y = -0. 000 6x3 +0. 002 9x2 +0. 740 4x +0. 079 9,the temperature prediction model with the most exact power y =0. 759 3x1 1554 ,relative humidity forecasting model by using the most exact multinomial y =0. 000 000 03x5 -0. 000 1x4 +0. 013 1x3 -0. 873 2x2 +29. 823x -347.99,all those were the most accurate one. The light prediction model of three-connected plastic canopies was y = -0. 000 5x2 + 0. 470 61x -0. 015, the temperature prediction model with exponential function y =4.662 9e0 089x ,relative humidity forecasting model by using the most exact one y = -0. 000 4x3 + 0. 013 6x2 + 0. 205 1 x + 35.056,all those were the most accurate one. The light prediction model of six-connected plastic canopies was y =0. 399 6x +0. 053 6 ,the temperature prediction model was exponential function y = 4. 622 7e0 089 7x , relative humidity forecasting with exponential function y = - 0. 000 08x3 + 0. 089x2 + 0. 645 9x + 21. 191 ,all those were the most accurate one. [ Conclusion ] The mathematical models what used for predicting meteorological elements outside plastic canopy with different structures were established.