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首页> 外文期刊>Earth System Science Data Discussions >Meteorological and hydrodynamic data in the Mar Grande and Mar Piccolo, Italy, of the Coastal Engineering Laboratory (LIC) Survey, winter and summer 2015
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Meteorological and hydrodynamic data in the Mar Grande and Mar Piccolo, Italy, of the Coastal Engineering Laboratory (LIC) Survey, winter and summer 2015

机译:Mar Grande和Mar Piccolo,意大利的气象和流体动力学数据,沿海工程实验室(LIC)调查,冬季和2015年夏季

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The Coastal Engineering Laboratory (LIC) of DICATECh of the Polytechnic University of Bari (Italy) maintains a place-based research programme in the Mar Grande and Mar Piccolo of Taranto (a coastal system in southern Italy), providing records of hydrodynamic and water-quality measurements. This site is one of the most complex marine ecosystem models in terms of ecological, social and economic activities. It is considered highly vulnerable because of the presence of a naval base, the biggest steel mill of Europe and an oil refinery. Two fixed stations have been installed, one in the Mar Grande (MG station) and another in Mar Piccolo (MP station). In the MG station constituents include wind speed and direction, air temperature and humidity, barometric pressure, net solar radiation, water salinity, water temperature, water pressure, dissolved oxygen, fluorescence, turbidity, CDOM, crude oil and refined fuels, sea currents, and waves. In the MP station constituents include water temperature, sea currents and waves. We provide a summary of how these data have been collected by the research group and how they can be used to deepen understanding of the hydrodynamic structures and characteristics of the basin. These data are available at https://doi.org/10.5281/zenodo.4449641 (Mossa et al., 2020).
机译:Dicatech的沿海工程实验室(LIC)的博士(意大利)在Mar Grande和Taranto(南部南部的沿海系统)维护了一个基于地基的研究计划,提供了流体动力和水的记录质量测量。该网站是生态,社会和经济活动方面最复杂的海洋生态系统模型之一。由于海军基地,欧洲最大的钢厂和炼油厂的存在,它被认为是非常脆弱的。已经安装了两个固定站,一个在Mar Grande(MG站)中,另一个在Mar Piccolo(MP站)。在MG站成分包括风速和方向,空气温度和湿度,气压,净太阳辐射,水盐度,水温,水压,溶解氧,荧光,浊度,CDOM,原油和精制燃料,海流,和波浪。在MP站成分包括水温,海流和波浪。我们提供了如何由研究组收集的这些数据以及如何用于深化对流域的流体动力学结构和特性的理解。这些数据可在https://doi.org/10.5281/zenodo.4449641(Mossa等,2020)中获得。

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