E. Armenio, M. B. Meftah, D. De Padova, F. Serio, M. Mossa
{"title":"Monitoring System in Mar Grande Basin (Ionian Sea)","authors":"E. Armenio, M. B. Meftah, D. De Padova, F. Serio, M. Mossa","doi":"10.1109/METROSEA.2018.8657891","DOIUrl":null,"url":null,"abstract":"The present work shows and discusses a monitoring system installed in a vulnerable coastal basin, named Mar Grande, located in Southern Italy, affected by human and industrial pressures.The most recent collected data are processed and analyzed to detect the evolution of the examined parameters in the investigated area. Comparisons with analogous recordings of previous years are also discussed. Finally, a monitoring tool based on an oil drift model and remote sensing observations is proposed for oil spill monitoring in the target area.","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":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/METROSEA.2018.8657891","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
The present work shows and discusses a monitoring system installed in a vulnerable coastal basin, named Mar Grande, located in Southern Italy, affected by human and industrial pressures.The most recent collected data are processed and analyzed to detect the evolution of the examined parameters in the investigated area. Comparisons with analogous recordings of previous years are also discussed. Finally, a monitoring tool based on an oil drift model and remote sensing observations is proposed for oil spill monitoring in the target area.