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滨海含水层中地下水位随海潮的周期性变化包含了重要的水文地质信息。而潮汐及地下水等动态资料分析的难点在于如何使得短时间序列数据的分析结果能够满足和反映较长时间的实际情况而不丢失必要信息。本文根据Fourier谱分析并结合海潮固有周期确定观测海潮数据的主要频率,利用最小二乘法确定实际海潮周期项函数,基于已有的地下水与海潮关系模型,对观测井中地下水位动态资料进行分析,利用最小平方罚函数法估算研究区含水层参数。根据上述确定的海潮和地下水波动模型,对研究区的海潮以及地下水水位变化进行验证和预测。验证和预测结果表明,本文分析确定的海潮以及地下水波动模型总体上能较好的反映实际变化特点。
The periodic variation of groundwater table in coastal aquifers with tides contains important hydrogeological information. The difficulty of dynamic data analysis such as tide and groundwater lies in how to make the analysis results of short-time series data meet and reflect the actual situation for a long time without losing the necessary information. Based on the Fourier spectrum analysis and the natural period of the tide, the main frequency of the observed tidal data is determined. The least square method is used to determine the periodic function of the actual tidal cycle. Based on the existing groundwater-ocean-tidal relationship model, the dynamic data of the groundwater level in the observation well are analyzed. The Least Squares Penalty Function Method for Estimating Aquifer Parameters in the Study Area. Based on the above-mentioned tidal and groundwater fluctuation models, the tide and groundwater level changes in the study area were verified and predicted. The results of verification and prediction show that the model of ocean tide and groundwater fluctuation analyzed in this paper can reflect the actual change characteristics well.