| 基于残差周期修正的辽宁省粮食产量灰色预测 |
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| 引用本文： | 江和文,赵铭,郭婷婷,张丽敏,孙卓,高井宝.基于残差周期修正的辽宁省粮食产量灰色预测[J].辽宁气象,2011(3):51-55. |
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| 作者姓名： | 江和文 赵铭 郭婷婷 张丽敏 孙卓 高井宝 |
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| 作者单位： | [1]葫芦岛市气象局,辽宁葫芦岛125000 [2]秦皇岛市气象局,河北秦皇岛066000 [3]辽宁省气象局,辽宁沈阳110001 [4]盘锦市气象局,辽宁盘锦124010 [5]大洼县气象局,辽宁大洼124200 |
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| 基金项目： | 中国气象局气候变化专项“东北粮食生产格局的气候变化影响与适应”（CCSF-09-13）资助 |
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| 摘 要： | 基于1971—2005年辽宁省主要粮食作物水稻和玉米的全区平均单产资料,根据产量数据的多周期和波动性特点,采用周期修正残差值方法,构建了辽宁省粮食产量灰色预测模型,采用正弦曲线拟合残差序列,对模型的残差进行周期修正,预测精度提高。结果表明：预测＂十二五＂期间,辽宁省水稻在2013年以后出现小幅度下降,而单产绝对值仍处于一个相对较高的水平。玉米单产至2014年呈持续增产趋势,2015年略有下降,单产波动幅度较小。以2006—2009年实际产量数据对模型进行检验,效果较好。水稻单产预测模型精度为一级,玉米单产预测模型精度为二级。该模型对于大灾年份的粮食产量预测精度较差,但可反映其趋势。
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| 关 键 词： | 水稻 玉米 粮食产量 灰色预测 GM（1 1）模型 |
Grey prediction of grain yield based on period residual modification method in Liaoning province |
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| JIANG He-wen,ZHAO Ming,GUO Ting-ting,ZHANG Li-min,SUN Zhuo,GAO Jing-bao.Grey prediction of grain yield based on period residual modification method in Liaoning province[J].Liaoning Meteorological Quarterly,2011(3):51-55. |
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| Authors: | JIANG He-wen ZHAO Ming GUO Ting-ting ZHANG Li-min SUN Zhuo GAO Jing-bao |
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| Institution: | 1.Huludao Meteorological Service,Huludao 125000,China;2.Qinhuangdao Meteorological Service,Hebei 125000,China;3.Liaoning Meteorological Service,Shenyang 110003,China;4.Panjin Meteorological Service,Panjin 124010,China;5.Dawa Meteorological Service,Dawa 124200,China) |
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| Abstract: | According to multi cycles and fluctuant features of crop yield data,a grey prediction model of grain yield was established in Liaoning province based on the mean yearly yield per unit area of main crops（maize and rice） in Liaoning province from 1971 to 2005 using a period residual modification method.The sine curve was applied to simulate the residual sequence and the residual was revised,so the prediction precision of the model was improved.The results indicate that rice yield would decline slightly after 2013,while the absolute value of yield per unit area still remains a relatively high level from 2011 to 2015.Maize yield per unit area may increase successively till 2014,then it may declines in 2015.In general,the fluctuation of crop yield per unit area is slight.The model is tested by using the actual yield from 2006 to 2009,and the prediction effect is good.The prediction precision of rice yield per unit area reaches the first grade in terms of this model,and that of maize is the second grade.The prediction precision of crop yield in severe disaster year is low,but the trend could be predicted according to the model. |
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| Keywords: | Rice Maize Grain yield Grey prediction GM（1 1） model |
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