粮食产量预测理论、方法与应用Ⅱ.粮食生产潜力短期预测理论、模型及其应用 |
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引用本文: | 郑宏艳,刘书田,王铄今,侯彦林,米长虹,王农,蔡彦明,黄治平,夏维,任军,王新民,侯显达.粮食产量预测理论、方法与应用Ⅱ.粮食生产潜力短期预测理论、模型及其应用[J].国外农业环境保护,2014(3):212-219. |
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作者姓名: | 郑宏艳 刘书田 王铄今 侯彦林 米长虹 王农 蔡彦明 黄治平 夏维 任军 王新民 侯显达 |
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作者单位: | [1]农业部环境保护科研监测所,天津300191 [2]北京农业信息技术研究中心,北京100089 [3]吉林省农业科学院,吉林长春130033 [4]河南牧业经济学院,河南郑州450011 [5]北京优雅施软件研发服务中心,北京100089 |
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基金项目: | 中国农业科学院科技创新工程(2014-cxge-hyl) |
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摘 要: | 粮食生产潜力短期预测结果可以检验粮食中长期生产潜力预测的准确性和为国家提供制定粮食生产战略的科学依据。粮食生产潜力短期预测理论即“趋势-波动理论”,它建立在粮食或作物“现状生产潜力”概念和“天-人-地概念模型”基础上,预测模型为最佳移动步长条件下的多年单产移动平均趋势模型,实际预测时采用系统预测方法。11个研究案例预测的平均误差为0.77%,最大误差为2.99%,预测精度高。本研究初步结论是:粮食生产潜力短期预测理论和模型是科学和实用的。
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关 键 词: | 粮食生产潜力 短期 预测 理论 方法 |
The Theory,Method and Its Application of the Grain Yield ForecastⅡ. The Theory,Method and Its Application of Short-Term Forecast of the Grain Yield Potential |
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Authors: | ZHENG Hong-yan LIU Shu-tian WANG Shuo-jin HOU Yan-lin MI Chang-hong WANG Nong CAI Yan-ming HUANG Zhi-ping XIA Wei REN Jun WANG Xin-min HOU Xian-da |
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Institution: | 1.Agro-Environmental Protection Institute, Ministry of Agriculture, Tianjin 30019 l, China; 2.Beijing Research Center for Information Tech- nology in Agriculture, Beijing 100089, China; 3.Jilin Academy of Agricultural Sciences, Changchun 130033, China; 4. Henan College of Animal Husbandry and Economy, Zhengzhou 450011, China; 5.Software Development and Service Center of Beijing Yours, Beijing 100089, China) |
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Abstract: | The accuracy of the long-term forecast of grain production potential can be tested by the short-term forecast results of grain pro-duction potential, and the scientific basis for the national strategy of grain production also can be provided. The theory of short-term forecast of the grain production potential, namely, the theory of trend-volatility, is established on the basis of the concept of current production poten-tial of grain or crop and the conceptual model of climate, human and land. Forecasting model is the moving average trend model of multi-year per unit area yield under the condition of the optimum moving step. The systematic forecast method was used to predict the short-term grain production potential. The above theory and methods were demonstrated by 11 cases in China and three provinces, respectively. The average error of 11 cases was 0.77%, the maximum error was 2.99%, and the accuracy of prediction was high. The results showed that the theory and model of short-term forecast of the grain production potential were scientific and practical. |
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Keywords: | grain yield potential short-term forecasting theory method |
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