马尔可夫链模型在地下水水位预测中的应用

APPLICATION OF MARKOVIAN CHAINWATER LEVEL

摘要:

作者将鲁南地区一水文观测孔的９２次地下水水位月平均监测数据，划分了１０种状态范围，运用马尔可夫链模型，对未来地下水水位进行状态范围预测。在与实际监测资料进行对比的基础上，验证了马尔可夫链理论在地下水水位预测中的可行性及可靠性，并对运用中的具体问题进行了探讨。

Abstract:

According to 92 times monitoring datas of underground water levels in Lunan which are monthly averaged,10 types states were divided.The underground water levels in the future can be predicated by Markovian chain model.On the basis of comparasion with the real monitoring datas,the practicableness and reliability of Markovian chain model are examined,and individual issues related are disscused as well.