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GM(0,N)模型在河流径流量预测中的应用
引用本文:李树文,王平,于虎广.GM(0,N)模型在河流径流量预测中的应用[J].太原科技,2012(10):99-102.
作者姓名:李树文  王平  于虎广
作者单位:[1]河北工程大学,河北邯郸056038 [2]中国建筑材料工业地质勘查中心山东总队,山东济南250000
摘    要:河流径流量的预测对水资源的优化调度管理具有重要的意义,传统的预测方法中原始数据的随机性对预测精度具有很大的影响。对GM(0,N)模型进行了研究,建立了以河流径流量为系统特征数据序列,年平均降水量和年平均饱和差为相关因素序列的GM(0,3)模型。通过模型预测数据和实测数据的对比,说明了GM(0,N)模型具有较好预测效果;同时,为了证明GM(0,N)模型的优点,对比了其预测结果与线性回归预测模型的结果。

关 键 词:GM(0  N)模型  河流径流量  随机性  预测精度

Application of GM(0,N) Model in Forecast of River Runoff
Li Shu-ping,Wang Ping,Yu Hu-guang.Application of GM(0,N) Model in Forecast of River Runoff[J].Taiyuan Science and Technology,2012(10):99-102.
Authors:Li Shu-ping  Wang Ping  Yu Hu-guang
Institution:1.Hebei University of Engineering,Handan 056038 China; 2.China Construction Materials and Geological Prospecting Center,Shandong General Team,Jinan 250000 China)
Abstract:Forecast of river runoff has great significance to management of optimal scheduling of water resource.Randomness of primary data of traditional forecasting methods has great impact on forecast accuracy.In this paper,the authors researched GM(0,N) model,and built data sequence marketed by river runoff and GM(0,3) model marketed by related factors sequence of mean annual precipitation and annual mean saturation deficit.Through comparing model forecast data and measured data,the authors put forward that GM(0,N) model has better forecasting effect.At the same time,the authors compared results of forecasting results and linear regression forecasting model in order to prove advantages of GM(0,N) model.
Keywords:GM(0  N) model  river runoff  randomness  forecast accuracy
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