地下水位监测冗余数据去除算法研究与应用  

Research on Redundancy Elimination Algorithm for Groundwater Level Monitoring and Its Application

作　　者：潘博[1] 游加[1] 田震[1] 郭天恩[2] 

机构地区：[1]北方工业大学机电工程学院,北京100144 [2]山西省水利厅,山西太原030002

出　　处：《水电能源科学》2012年第5期21-24,20,共5页Water Resources and Power

摘　　要：针对目前地下水位监测方法中利用普通监测井监测带来的数据冗余问题,提出了一种新的水位监测算法。该算法综合了有效带宽法、算术平均法、时间序列分析法、权重分配等方法的优点,采用有效带宽法和算术平均法获得有效水位点和计算基准点,运用时间序列分析法建立了小时间段数据预测模型,并在此基础上修正预测模型,使用权重分配法获得了近似水位点,并将该算法应用于太原市小店区龙堡村井。结果表明,该算法有效去除了冗余数据,增加了观测数据的可靠性,为后续水位深度分析和研究奠定了良好的基础。Bases on the problems existed in current methods of groundwater level monitoring used in common monitoring wells,a redundancy elimination algorithm for groundwater level monitoring is proposed.The algorithm combines the advantages of the effective bandwidth method,arithmetic average,time series analysis and weight distribution.The effective bandwidth method and arithmetic average method are adopted to obtain the effective water level points and reference points for calculation.Time series analysis theory is applied to establish data prediction model in small period.On this basis,the forecast model is modified.Approximate water level points are obtained by using weight distribution method.Taking Longbao country well of Xiaodian region in Taiyuan city for an example,the results show that the proposed algorithm eliminates the redundant data effectively and raises the reliability of observed data,which lays a good foundation for further research and analysis of the water level.

关 键 词：地下水位监测 冗余数据 预测模型修正 监测井 水位分析 

分 类 号：P641[天文地球—地质矿产勘探]