2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)最新文献_第6页

A spar buoy-mounted ADCP measurement station in the Ligurian Sea: a metrological approach to correct current measures for bias effects and evaluate uncertainties 利古里亚海的浮筒式ADCP测量站:校正当前测量偏差效应和评估不确定性的计量方法

2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea) Pub Date : 2018-10-01 DOI: 10.1109/METROSEA.2018.8657913

G. Raiteri, A. Bordone, T. Ciuffardi, A. Schirone, F. Pennecchi, R. Bozzano, Sara Pensieri

{"title":"A spar buoy-mounted ADCP measurement station in the Ligurian Sea: a metrological approach to correct current measures for bias effects and evaluate uncertainties","authors":"G. Raiteri, A. Bordone, T. Ciuffardi, A. Schirone, F. Pennecchi, R. Bozzano, Sara Pensieri","doi":"10.1109/METROSEA.2018.8657913","DOIUrl":"https://doi.org/10.1109/METROSEA.2018.8657913","url":null,"abstract":"Since the ‘70s, the ENEA Marine Environment Research Centre of S. Teresa has been involved in monitoring and analysis of physical, chemical and biological processes in marine environment. In order to provide a deeper view of the real marine dynamics, based on the integrated use of data and models, some of these activities have been recently focused on the measurement of current profiles in the open sea. A dedicated experimental methodology and data analysis were carried out to design and install a system for measuring current profiles in the surface layer in the Ligurian Sea: the measurement station, based on an Acoustic Doppler Current Profiler (ADCP) mounted on the surface buoy of W1-M3A (Western 1 Mediterranean Moored Multisensor) weather-oceanographic observatory, led to the acquisition of a time series of data continuously acquired for five months (from April to August 2017). The collected dataset, together with the implemented post-processing techniques, were aimed to realize a monitoring system able to support (and verify by comparison) marine current numerical models, with the final purpose of improving their performances. Main object of this work are both the correction of bias effects due to the buoy influence on ADCP measures and the evaluation of the overall uncertainty associated with the current velocities. In the following, an overall view of the performed experimental activity is briefly reported, ranging from the design of the measuring station to its implementation, from recovery to preliminary data processing and uncertainty analysis applied to a sub-set of data, used as a test case.","PeriodicalId":252792,"journal":{"name":"2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132206921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Sedimentological analyses to identify Centennial-scale climatic variability during the upper Holocene : A gravity core collected on the Apulia continental slope in the Gulf of Taranto 全新世上部百年尺度气候变化的沉积学分析:在塔兰托湾Apulia大陆斜坡收集的重力岩心

2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea) Pub Date : 2018-10-01 DOI: 10.1109/METROSEA.2018.8657826

A. Meo, M. Falco, G. Ercilla, B. Alonso, M. Senatore

引用次数: 1

Hyperspectral characterization of marine plastic litters 海洋塑料凋落物的高光谱表征

2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea) Pub Date : 2018-10-01 DOI: 10.1109/METROSEA.2018.8657875

M. Balsi, S. Esposito, M. Moroni

引用次数: 18

A multiparametric method for the classification of the seabed from acoustic backscattered signal 基于声学后向散射信号的海底分类多参数方法

2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea) Pub Date : 2018-10-01 DOI: 10.1109/METROSEA.2018.8657867

M. Demarte, Roberto Nardini, M. Marro, Cosmo Peluso, R. Ivaldi

引用次数: 0

Automatic Extraction of Shoreline from Satellite Images: a new approach 从卫星图像中自动提取海岸线:一种新方法

2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea) Pub Date : 2018-10-01 DOI: 10.1109/METROSEA.2018.8657864

A. Spinosa, Alexander Ziemba, A. Saponieri, Victor D. Navarro-Sanchez, L. Damiani, G. E. Serafy

引用次数: 7

Remote Sensed and In Situ Data: an integrated approach for Coastal Risk Assessment 遥感和原位数据:沿海风险评估的综合方法

2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea) Pub Date : 2018-10-01 DOI: 10.1109/METROSEA.2018.8657899

M. F. Bruno, M. G. Molfetta, M. Mossa, L. Pratola, R. Nutricato, A. Morea, D. Nitti, M. Chiaradia

{"title":"Remote Sensed and In Situ Data: an integrated approach for Coastal Risk Assessment","authors":"M. F. Bruno, M. G. Molfetta, M. Mossa, L. Pratola, R. Nutricato, A. Morea, D. Nitti, M. Chiaradia","doi":"10.1109/METROSEA.2018.8657899","DOIUrl":"https://doi.org/10.1109/METROSEA.2018.8657899","url":null,"abstract":"The continuous monitoring of coastal areas is a necessary condition for a timely assessment of shoreline erosion phenomena. The traditional approach consists in ground investigations that are impractical in terms of costs and logistics, on a national or even regional scale. Earth Observation (EO) techniques can represent a cost-effective alternative for a wide-scale Coastal Zone Management. Thanks to the all-weather day/night radar imaging capability and to the nationwide acquisition plan named MapItaly, devised by the Italian Space Agency and active since 2010, COSMO-SkyMed constellation is able to provide X-band images covering the Italian territory with a best effort revisit time of 16 days. However, any remote sensing approach must be accurately calibrated and corrected for the actual meteo-marine conditions. Therefore, in situ data are essential for proper EO data selection, tidal corrections and validation of EO products. An integrated semi-automatic technique for coastal risk assessment and monitoring, named COSMO-Beach, is presented here, with a particular emphasis on the ground truths provided in input to the implemented processing chain, as well as its application on two different test sites in Apulia Region (South Italy).","PeriodicalId":252792,"journal":{"name":"2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128916952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Distribution and causes of sea turtles stranding on the Ionian coast of Calabria, Apulia and Basilicata 海龟在卡拉布里亚、阿普利亚和巴西利卡塔的爱奥尼亚海岸搁浅的分布和原因

2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea) Pub Date : 2018-10-01 DOI: 10.1109/METROSEA.2018.8657886

G. Cirelli, Annachiara Pisto, Francesca Ardolino, A. Colucci, Erika Ottone, Francesca Catucci, N. Tragni, Vincenzo Aquaro

{"title":"Distribution and causes of sea turtles stranding on the Ionian coast of Calabria, Apulia and Basilicata","authors":"G. Cirelli, Annachiara Pisto, Francesca Ardolino, A. Colucci, Erika Ottone, Francesca Catucci, N. Tragni, Vincenzo Aquaro","doi":"10.1109/METROSEA.2018.8657886","DOIUrl":"https://doi.org/10.1109/METROSEA.2018.8657886","url":null,"abstract":"The WWF Italian Turtle Rescue Center located in Policoro (MT), is responsible for the Marine Turtles Project of the Gulf of Taranto area (from Punta Prosciutto - TA, to Punta Fiume Nicà - CS), by the collaboration between MATTM - WWF Italia - Department of Veterinary Medicine University of Bari \"Aldo Moro\", Department of Ecology University of Calabria, Department of Ecology \"Charles Darwin\" La Sapienza University of Rome. Thanks to the network of WWF Italy Centers along the Italian coast, the project promotes the conservation and protection of sea turtles especially the Caretta caretta species, the most common in the Mediterranean sea. In the present work the data on sea turtles strandings from 2006 to 2018 along the Ionic coasts of Calabria, Apulia and Basilicata in south of Italy are reported. The present work is a descriptive analysis, a photograph useful as a starting point for understanding the strengths and weaknesses of the work done for the conservation of the species under study.The data collected by the WWF CRTM at Policoro were integrated with the data of Beachings Geographical Information System - GEOCETUS, supervised by Centro Studi Cetacei Onlus. All the beachings events have been georeferenced to obtain a distribution map of the same, including the length of the carapace (CCL), the causes of death and the possible presence of epibiontic organisms, whenever possible. The strandings show the importance of Ionian sea like feeding and nesting area of Caretta caretta. Furthermore awareness and collaboration between WWF Italia and authorithies are concrete actions for Nature conservation.","PeriodicalId":252792,"journal":{"name":"2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129055454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Wind tunnel measurements for the characterization of a small scale monoplane Wells turbine 小型单面威尔斯涡轮特性的风洞测量

2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea) Pub Date : 2018-10-01 DOI: 10.1109/METROSEA.2018.8657896

M. Torresi, S. Camporeale

{"title":"Wind tunnel measurements for the characterization of a small scale monoplane Wells turbine","authors":"M. Torresi, S. Camporeale","doi":"10.1109/METROSEA.2018.8657896","DOIUrl":"https://doi.org/10.1109/METROSEA.2018.8657896","url":null,"abstract":"In the field of wave energy harnessing, Oscillating Water Column (OWC) devices are nowadays a consolidated technology. In OWC energy converters, waves generate an oscillating flow, whose energy can be effectively captured, for instance, by means of self-rectifying Wells turbines. In the design of Wells turbines, main issues are the improvement of their peak efficiency and the widening of their operational range. In order to reach these goals, a deep knowledge of the turbine fluid dynamic performance is essential. This paper presents the results of the experimental investigation of a small scale monoplane Wells turbine, tested in an open circuit low speed wind tunnel of the suction type in order to characterize its performance in terms of non-dimensional parameters, namely, torque and pressure drop coefficients and efficiency. The prototype under investigation, with blades of constant chord and NACA0015 profile, has been designed in order to be matched with a REWEC (Resonant Wave Energy Converter) breakwater, which had been located off the beach of Reggio Calabria. The REWEC under consideration was an excellent small scale model of full scale sea wave energy conversion devices for oceanic applications. Results have been compared with previous in-field tests, showing a very good agreement.","PeriodicalId":252792,"journal":{"name":"2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130227715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Microplastic samplings and inverse trajectory recognition in the Mediterranean Sea 地中海微塑料取样和反轨迹识别

2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea) Pub Date : 2018-10-01 DOI: 10.1109/METROSEA.2018.8657848

A. Pini, P. Tomassetti, M. Matiddi, G. D. de Lucia, A. Camedda, Giorgio Zampetti, Chiara Lattanzi, G. Leuzzi, P. Monti

引用次数: 4