Department of Mechanical, Energy, Management and Transportation Engineering, University of Genova, Via Opera Pia 15A, 16145 Genova, Italy.
ISPRA, Istituto Superiore per la Protezione e la Ricerca Ambientale, Via V. Brancati 48, 00144 Rome, Italy.
Sensors (Basel). 2023 Jun 6;23(12):5371. doi: 10.3390/s23125371.
Technological development in terms of the power requirement for data acquisition and processing opens new perspectives in the field of environmental monitoring. Near real-time data flow about the sea condition and a possible direct interface with applications and services devoted to marine weather networks would have a significant impact on several aspects, such as, for example, safety and efficiency. In this scenario, the needs of buoy networks have been analyzed, and the estimation of directional wave spectra from buoys' data has been deeply investigated. Two methods have been implemented, namely the truncated Fourier series and the weighted truncated Fourier series, and they have been tested by both simulated and real experimental data, representative of typical Mediterranean Sea conditions. From simulation, the second method proved to be more efficient. From the application to real case studies, it emerged that it works effectively in real conditions, as confirmed by parallel meteorological observations. The estimation of the main propagation direction was possible with a small uncertainty of a few degrees, yet the method exhibits a limited directional resolution, which suggests the need for undertaking further studies, briefly addressed in the conclusions.
技术的发展在数据采集和处理的电力需求方面为环境监测领域开辟了新的视角。关于海洋状况的近乎实时数据流以及可能与专门用于海洋气象网络的应用程序和服务的直接接口,将对多个方面产生重大影响,例如安全性和效率。在这种情况下,对浮标网络的需求进行了分析,并深入研究了从浮标数据估计方向波谱的方法。实现了两种方法,即截断傅里叶级数和加权截断傅里叶级数,并通过代表典型地中海条件的模拟和实际实验数据对它们进行了测试。从仿真结果来看,第二种方法更有效。从实际案例研究的应用来看,它在实际条件下有效地运行,这一点得到了并行气象观测的证实。主要传播方向的估计可以达到几度的小不确定性,但该方法表现出有限的方向分辨率,这表明需要进行进一步的研究,结论中简要地讨论了这些研究。