文章摘要
胡小梅,陈向东,黄云章,丁俊芝.高关水库入库径流状态预测Journal of Water Resources and Water Engineering[J].,2012,23(5):123-126
高关水库入库径流状态预测
Forcast of runoff state inflow Gaoguan Reservoir
Received:May 11, 2012  Revised:June 10, 2012
DOI:
中文关键词: 自相关系数  马尔可夫链  径流量变化预测  高关水库流域
英文关键词: auto correlation coefficient  Markov chain  forecast of runoff change  Gaoguan reservoir watershed
基金项目:
Author NameAffiliation
HU Xiaomei Zhanghe Project Administration Bureau, Jingmen 448156, China 
CHEN Xiangdong Gaoguan Reservoir Bureau,Jingmen 431806, China 
HUANG Yunzhang Zhanghe Project Administration Bureau, Jingmen 448156, China 
DING Junzhi Zhanghe Project Administration Bureau, Jingmen 448156, China 
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中文摘要:
      依据高关水库1971-2010年入库径流量资料,应用均值标准差法建立5级分级标准。针对径流量为相依随机变量的特点,以各阶自相关系数为权重,运用马尔可夫链模型预测未来一年的入库径流量状态。结果表明:该方法直观、预测准确、计算简便,为区域径流量的中长期预测提供了新的分析途径。
英文摘要:
      According to runoff stroage data from 1971 to 2010, five level standards were established by using mean and standard deviation method. Appionted at the runoff characteristics of dependent random variables, taking all orders autocorrelation coefficients as weights, Markov chain model was used to predict the runoff state in the next year. The results show that the method can provide a new feasible way for regional and long-term runoff prediction, and is direct, accurate and simple.
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