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用马尔科夫过程描述水库径流 被引量:1

DESCRIBING RESERVOIR RUNOFF BY MARKOV PROCESS
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摘要 以年为周期、按时间序列把径流连续过程离散化为月或旬,若相邻月(旬)存在依赖关系则径流过程符合马尔科夫链。在求出条件概率后,即可求出相邻时段的转移概率矩阵,最后求得相应的条件概率流量。全部计算用FORTRAN语言编写程序,在VAX—8350机上实现。 Taking one year as apperiod and compling the time series, disperses and divides the continous runoff process into processes in a series of months or ten-days. The runoff process will be in accord with Markov Chain , if addependent relationship exists among the adjacent months or ten- days. When the conditional probability is gotten, transformation probability matrix of the adjacent time zones could be obtained and then the relative flows could be evaluted. The calculation was programmed by FORTRAN language and ran on computer.
出处 《山东工业大学学报》 1992年第2期41-46,51,共6页
基金 山东省1989~1991年的科研课题
关键词 水库 径流 条件概率 马氏过程 Reservoir Runoff Markov process Conditional probability Transition Probability
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