Center for Natural Resources Development and Protection, Department of Civil and Environmental Engineering, New Jersey Institute of Technology, Newark, NJ 07102, United States.
Sci Rep. 2017 Jan 13;7:40770. doi: 10.1038/srep40770.
Tides have been recognized as a major driving forcing affecting coastal aquifer system, and deterministic modeling has been very effective in elucidating mechanisms caused by tides. However, such modeling does not lend itself to capture embedded information in the signal, and rather focuses on the primary processes. Here, using yearlong data sets measured at beaches in Alaska Prince William Sound, we performed spectral and correlation analyses to identify temporal behavior of pore-water pressure, temperature and salinity. We found that the response of the beach system was characterized by fluctuations of embedded diurnal, semidiurnal, terdiurnal and quarterdiurnal tidal components. Hydrodynamic dispersion of salinity and temperature, and the thermal conductivity greatly affected pore water signals. Spectral analyses revealed a faster dissipation of the semi-diurnal component with respect to the diurnal components. Correlation functions showed that salinity had a relatively short memory of the tidal signal when inland freshwater recharge was large. In contrast, the signature of the tidal signal on pore-water temperature persisted for longer times, up to a week. We also found that heterogeneity greatly affected beach response. The response varied from a simple linear mapping in the frequency domain to complete modulation and masking of the input frequencies.
潮汐已被认为是影响沿海含水层系统的主要驱动力,确定性建模在阐明潮汐引起的机制方面非常有效。然而,这种建模不适合捕捉信号中的嵌入式信息,而是侧重于主要过程。在这里,我们使用在阿拉斯加威廉王子湾海滩上测量的长达一年的数据,进行了频谱和相关分析,以确定孔隙水压力、温度和盐度的时间行为。我们发现,海滩系统的响应特征是嵌入式日潮、半日潮、三日潮和四日潮潮汐分量的波动。盐度和温度的水动力弥散以及热导率极大地影响了孔隙水信号。频谱分析显示,相对于日潮分量,半日潮分量的消散速度更快。相关函数表明,当内陆淡水补给量大时,盐度对潮汐信号的记忆相对较短。相比之下,孔隙水温度的潮汐信号特征持续时间更长,可达一周。我们还发现,非均质性极大地影响了海滩的响应。响应从频率域中的简单线性映射到输入频率的完全调制和掩蔽。