摘要
采用小波变换A Trous算法对小波信号进行分解后,对各小波变换序列进行互相关分析,建立各小波变换序列相应的随机模型,最后采用小波重构算法得到小波随机耦合模型。然后根据查哈阳农场1956-2008年作物生育期月降雨量数据资料,建立了小波随机耦合模型,对模型进行拟合预测精度检验,研究表明该模型拟合预测精度高,能够反映该地区的降雨量变化规律,是一种实用的预报模型。对当地制定合理的灌溉制度和高效利用降水资源具有重要意义。
A Trous algorithm of wavelet transformation is used to decompose the signal.The cross-correlation analysis is also used to analyze each sequence of the wavelet coefficient,a stochastic model that corresponds with the sequence of wavelet coefficient is established.Finally a wavelet random coupling model is obtained by wavelet reconstruction algorithm.Then according to the precipitation data in crop growth period of Chahayang Farm from 1956 to 2008,the wavelet random coupling model is established,.The results indicate that the accuracy of prediction and fitting of the model is high,the model can reflect the rules of precipitation in the region,and it is a practical prediction model.It is very important for us to determine reasonably irrigation schedule and use efficiency coefficient of precipitation resources.
出处
《中国农村水利水电》
北大核心
2011年第4期26-29,共4页
China Rural Water and Hydropower
基金
东北农业大学博士基金项目(E090202)
黑龙江省教育厅科学技术研究项目(11551044)
