De Serio Francesca, Mossa Michele
Department of Civil, Environmental, Land, Building Engineering and Chemistry (DICATECh), Polytechnic University of Bari, via Orabona 4, Bari 70125, Italy.
Sensors (Basel). 2018 Jan 18;18(1):280. doi: 10.3390/s18010280.
Coastal sites with typical lagoon features are extremely vulnerable, often suffering from scarce circulation. Especially in the case of shallow basins subjected to strong anthropization and urban discharges, it is fundamental to monitor their hydrodynamics and water quality. The proper detection of events by high performance sensors and appropriate analysis of sensor signals has proved to be a necessary tool for local authorities and stakeholders, leading to early warning and preventive measures against environmental degradation and related hazards. At the same time, assessed datasets are not only essential to deepen the knowledge of the physical processes in the target basin, but are also necessary to calibrate and validate modelling systems providing forecasts. The present paper aims to show how long-term and continuous recordings of meteorological and hydrodynamic data, collected in a semi-enclosed sea, can be managed to rapidly provide fundamental insights on its hydrodynamic structure. The acquired signals have been analyzed in time domain, processed and finally, correlated. The adopted method is simple, feasible and easily replicable. Even if the results are site-dependent, the procedure is generic, and depends on having good quality available data. To show how this might be employed, a case study is examined. In fact, it has been applied to a coastal system, located in Southern Italy, where two monitoring stations are placed in two interconnected basins. The inferred results show that the system is not wind dominated, and that the annual trends in the wind regime, wave spreading and current circulation are not independent, but rather reiterate. These deductions are of great interest as a predictive perspective and for numerical modelling.
具有典型泻湖特征的沿海地区极其脆弱,常常面临水流不畅的问题。特别是对于那些受到强烈人为活动和城市排放影响的浅盆地而言,监测其水动力和水质至关重要。事实证明,利用高性能传感器准确检测事件并对传感器信号进行适当分析,是地方当局和利益相关者的必要工具,能够实现早期预警并采取预防措施,防止环境退化及相关危害。与此同时,经过评估的数据集不仅对于深入了解目标盆地的物理过程至关重要,而且对于校准和验证提供预测的建模系统也是必不可少的。本文旨在展示如何管理在半封闭海域收集的气象和水动力数据的长期连续记录,以便快速获取有关其水动力结构的基本见解。对采集到的信号进行了时域分析、处理并最终进行了相关性分析。所采用的方法简单、可行且易于复制。即使结果因地点而异,但该程序具有通用性,并且依赖于高质量的可用数据。为了说明如何应用这一方法,本文考察了一个案例研究。实际上,该方法已应用于意大利南部的一个沿海系统,在两个相互连接的盆地中设置了两个监测站。推断结果表明,该系统并非以风为主导,并且风况(风向)、波浪传播和水流循环的年度趋势并非相互独立,而是相互重复的。这些推断从预测角度和数值建模方面来看都具有重要意义。