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在任何一项水文地质工作中,地下水动态资料的分析研究是其必不可少的组成部分。然而,众多的观测对象,其动态常受多种因素控制。将复杂的动态资料进行单因素分离,对确定影响因素之间的关系,建立预测模型是十分重要的。本文拟采用时序列分析方法,建立晋祠泉的月预报模型,并编制程序,使这一过程在PC-1500计算机中自动实现。一、建立模型通常,动态观测是按一定时间间隔进行的。影响其变化的主要原因不外乎天然因素和人为因素两大类。尽管某些因子存在着很
Analysis of groundwater dynamic data is an integral part of any hydrogeological job. However, the dynamics of many observers are often governed by many factors. It is very important to establish the prediction model to determine the relationship between the influencing factors through the single factor separation of complex dynamic data. This paper intends to use time series analysis method to establish the monthly forecasting model of Jinci Spring and to compile the program so that this process can be automatically implemented in PC-1500 computer. First, the establishment of the model Usually, the dynamic observations are carried out at regular intervals. The main reason that affects its change is nothing more than two kinds of natural factors and human factors. Although some factors exist