Pub Date : 2018-10-01DOI: 10.1109/METROSEA.2018.8657883
A. Zampollo, M. Azzolin, A. Arcangeli, Joana Buoninsegni, M. Paraboschi, R. Crosti, C. Mancino, C. Giacoma
To date, the principal assessment for the Loggerhead sea turtle (Caretta caretta) distribution in the Mediterranean Basin is given by beaches nests along the coasts. The Eastern Mediterranean Sea has been revealed an important foraging area for this protected species but temporal trends of its spatial distribution and anthropogenic threats are lacking. This study shows that the employment of ferry as platform of observation would represent a valid tool for monitoring Loggerhead sea turtle in remote marine area, and to pinpoint important areas for the conservation and assessment of the species. The results of the present study confirm the previous hypothesis of the areas selected by the species, which are neritic areas in the northern/middle Adriatic Sea and oceanic areas in the Ionian Sea.
{"title":"Employing ferry as platform of observation for monitoring Loggerhead sea turtle (Caretta caretta) distribution in the Adriatic-Ionian Region","authors":"A. Zampollo, M. Azzolin, A. Arcangeli, Joana Buoninsegni, M. Paraboschi, R. Crosti, C. Mancino, C. Giacoma","doi":"10.1109/METROSEA.2018.8657883","DOIUrl":"https://doi.org/10.1109/METROSEA.2018.8657883","url":null,"abstract":"To date, the principal assessment for the Loggerhead sea turtle (Caretta caretta) distribution in the Mediterranean Basin is given by beaches nests along the coasts. The Eastern Mediterranean Sea has been revealed an important foraging area for this protected species but temporal trends of its spatial distribution and anthropogenic threats are lacking. This study shows that the employment of ferry as platform of observation would represent a valid tool for monitoring Loggerhead sea turtle in remote marine area, and to pinpoint important areas for the conservation and assessment of the species. The results of the present study confirm the previous hypothesis of the areas selected by the species, which are neritic areas in the northern/middle Adriatic Sea and oceanic areas in the Ionian Sea.","PeriodicalId":252792,"journal":{"name":"2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)","volume":"137 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":"128703848","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}
Pub Date : 2018-10-01DOI: 10.1109/METROSEA.2018.8657854
John Clarkson, L. Abbiss, Aylin Akkaya Baş
Interactions between touristic vessels and cetaceans are increasing. Ecotourism, whale watching tours or the increasing economic power of the industry have all contributed to the current situation. Recent tourism studies have made cases for both short and long-term changes for targeted cetacean populations. Short-term changes refer to behavioural responses as a result of marine vessel movements where vocalisation variation and increased horizontal and vertical dive intervals have been observed. Investigating behavioural transitions of bottlenose dolphins in the absence and presence of tourism vessels, we modelled the impacts in control and impact chains, making a case for social media use to increase scientific data collection in other areas of research. In the presence of tourism, increased diving behaviours could relate to increased vessel avoidance whilst increased group cohesive behaviours may be mistaken for tighter group formations in the case of milling and resting behaviours within closer proximity to vessels. Social media searches within a two-week period using a hashtag tracking website yielded a 26.5% success rate of usable posts for scientific data. Although it is not possible to relate short-term changes in behavioural transitions to long-term changes in behavioural budget, it is evident tourism can elicit strong behavioural responses. In the knowledge that guidelines and mitigation strategies can often be ignored or take years to be implemented, we suggest using touristic habits to our benefit. Ultimately this novel way of citizen science would contribute to implementing appropriate conservation strategies, resulting in stricter regulations regarding marine vessel traffic in cetacean hotspots.
{"title":"Social Media for Social Species: A case study on the behavioural transitions of bottlenose dolphins (Tursiops truncatus) in the presence of tourism, Montenegro, South Adriatic","authors":"John Clarkson, L. Abbiss, Aylin Akkaya Baş","doi":"10.1109/METROSEA.2018.8657854","DOIUrl":"https://doi.org/10.1109/METROSEA.2018.8657854","url":null,"abstract":"Interactions between touristic vessels and cetaceans are increasing. Ecotourism, whale watching tours or the increasing economic power of the industry have all contributed to the current situation. Recent tourism studies have made cases for both short and long-term changes for targeted cetacean populations. Short-term changes refer to behavioural responses as a result of marine vessel movements where vocalisation variation and increased horizontal and vertical dive intervals have been observed. Investigating behavioural transitions of bottlenose dolphins in the absence and presence of tourism vessels, we modelled the impacts in control and impact chains, making a case for social media use to increase scientific data collection in other areas of research. In the presence of tourism, increased diving behaviours could relate to increased vessel avoidance whilst increased group cohesive behaviours may be mistaken for tighter group formations in the case of milling and resting behaviours within closer proximity to vessels. Social media searches within a two-week period using a hashtag tracking website yielded a 26.5% success rate of usable posts for scientific data. Although it is not possible to relate short-term changes in behavioural transitions to long-term changes in behavioural budget, it is evident tourism can elicit strong behavioural responses. In the knowledge that guidelines and mitigation strategies can often be ignored or take years to be implemented, we suggest using touristic habits to our benefit. Ultimately this novel way of citizen science would contribute to implementing appropriate conservation strategies, resulting in stricter regulations regarding marine vessel traffic in cetacean hotspots.","PeriodicalId":252792,"journal":{"name":"2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)","volume":"42 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":"126571786","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}
Pub Date : 2018-10-01DOI: 10.1109/METROSEA.2018.8657845
Davide Tognin, P. Peruzzo, F. De Serio, M. Ben Meftah, L. Carniello, A. Defina, M. Mossa
The aim of the present contribution is to present a peculiar experimental set up, designed to investigate the interaction between solitary waves and rigid emergent vegetation. The complexity of the problem required the combined use of different measurement systems of water level and velocity field. Some preliminary results of the experimental investigation, that allow to point out the effect of the vegetation on the propagation of a solitary wave, are also presented.
{"title":"Laboratory experiments on solitary wave interaction with rigid emergent vegetation: some preliminary results","authors":"Davide Tognin, P. Peruzzo, F. De Serio, M. Ben Meftah, L. Carniello, A. Defina, M. Mossa","doi":"10.1109/METROSEA.2018.8657845","DOIUrl":"https://doi.org/10.1109/METROSEA.2018.8657845","url":null,"abstract":"The aim of the present contribution is to present a peculiar experimental set up, designed to investigate the interaction between solitary waves and rigid emergent vegetation. The complexity of the problem required the combined use of different measurement systems of water level and velocity field. Some preliminary results of the experimental investigation, that allow to point out the effect of the vegetation on the propagation of a solitary wave, are also presented.","PeriodicalId":252792,"journal":{"name":"2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)","volume":"5 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":"122006377","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}
Pub Date : 2018-10-01DOI: 10.1109/METROSEA.2018.8657839
R. Maglietta, A. Bruno, V. Renó, G. Dimauro, E. Stella, C. Fanizza, Stefano Bellomo, G. Cipriano, A. Tursi, R. Carlucci
Photo-identification (photo-ID) studies are strategic to fill the gap of knowledge of data deficient species such as Risso’s dolphin. Unfortunately, the photo-ID process is very time consuming and strongly depends on the user-ability. Some photo-ID algorithms are available, which can, automatically or semi-automatically, find the closest match between the dolphin in the query and a catalogue of previously sighted dolphins. However the limitation of these algorithms is that in any case they will return a prevision of the dolphin identity, in other words these can not identify the individuals never sighted before, i.e. unknown dolphins. Hence the automation of the photo-ID process through the use of innovative algorithms is still needed. In this paper the opportunity of employing machine learning strategies for the automated photo-ID of Risso’s dolphin is investigated. In particular the performances of RUSBoost algorithm result to be very good in identifying the unknown dolphins, even if in general these depend on the available data for training the model. Experimental results highlight the great potential of machine learning in the automation of photo-ID process, as well as focus on the need of collecting more and more data in order to perform a more effective data analysis.
{"title":"The promise of machine learning in the Risso’s dolphin Grampus griseus photo-identification","authors":"R. Maglietta, A. Bruno, V. Renó, G. Dimauro, E. Stella, C. Fanizza, Stefano Bellomo, G. Cipriano, A. Tursi, R. Carlucci","doi":"10.1109/METROSEA.2018.8657839","DOIUrl":"https://doi.org/10.1109/METROSEA.2018.8657839","url":null,"abstract":"Photo-identification (photo-ID) studies are strategic to fill the gap of knowledge of data deficient species such as Risso’s dolphin. Unfortunately, the photo-ID process is very time consuming and strongly depends on the user-ability. Some photo-ID algorithms are available, which can, automatically or semi-automatically, find the closest match between the dolphin in the query and a catalogue of previously sighted dolphins. However the limitation of these algorithms is that in any case they will return a prevision of the dolphin identity, in other words these can not identify the individuals never sighted before, i.e. unknown dolphins. Hence the automation of the photo-ID process through the use of innovative algorithms is still needed. In this paper the opportunity of employing machine learning strategies for the automated photo-ID of Risso’s dolphin is investigated. In particular the performances of RUSBoost algorithm result to be very good in identifying the unknown dolphins, even if in general these depend on the available data for training the model. Experimental results highlight the great potential of machine learning in the automation of photo-ID process, as well as focus on the need of collecting more and more data in order to perform a more effective data analysis.","PeriodicalId":252792,"journal":{"name":"2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)","volume":"4 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":"133623875","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}
Pub Date : 2018-10-01DOI: 10.1109/METROSEA.2018.8657909
M. Benincasa, F. Falcini, C. Adduce, R. Santoleri, G. Sannino
We investigate the use of remotely sensed data, coupled with numerical simulation for marine currents, to provide assessment of shoreline morphodynamics. We present here our findings about sediment transport dynamics and, in particular, on local divergence of sediment flux, and its relation to coastal erosion in the Adriatic sea.
{"title":"Remote sensing and coastal morphodynamic modelling","authors":"M. Benincasa, F. Falcini, C. Adduce, R. Santoleri, G. Sannino","doi":"10.1109/METROSEA.2018.8657909","DOIUrl":"https://doi.org/10.1109/METROSEA.2018.8657909","url":null,"abstract":"We investigate the use of remotely sensed data, coupled with numerical simulation for marine currents, to provide assessment of shoreline morphodynamics. We present here our findings about sediment transport dynamics and, in particular, on local divergence of sediment flux, and its relation to coastal erosion in the Adriatic sea.","PeriodicalId":252792,"journal":{"name":"2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)","volume":"113 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":"131322655","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}
Pub Date : 2018-10-01DOI: 10.1109/METROSEA.2018.8657911
A. Lay-Ekuakille, P. Visconti, S. Maggi, G. Passarella, D. Bruno
Environmental measurements need high accuracy and precision for delivering results necessary for authorities for making decisions. In particular, for water characterization, it is necessary to perform fast analysis in order to delivery immediate results, especially in online conditions. To do that, in some circumstances it is compulsory to accept deliberate low accuracy and precision as compromise for quick results. Approximate computing could be an innovating approach on the proviso that results should be realistic. This research illustrates findings regarding application of approximate computing in the field of spectroscopy measurements related to water characterization using an experimental instrumentation based on interferometry and spectroscopy.
{"title":"Metrological Aspects in Approximate Computing: Fourier Transform in Polluted Water Spectroscopy","authors":"A. Lay-Ekuakille, P. Visconti, S. Maggi, G. Passarella, D. Bruno","doi":"10.1109/METROSEA.2018.8657911","DOIUrl":"https://doi.org/10.1109/METROSEA.2018.8657911","url":null,"abstract":"Environmental measurements need high accuracy and precision for delivering results necessary for authorities for making decisions. In particular, for water characterization, it is necessary to perform fast analysis in order to delivery immediate results, especially in online conditions. To do that, in some circumstances it is compulsory to accept deliberate low accuracy and precision as compromise for quick results. Approximate computing could be an innovating approach on the proviso that results should be realistic. This research illustrates findings regarding application of approximate computing in the field of spectroscopy measurements related to water characterization using an experimental instrumentation based on interferometry and spectroscopy.","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":"129400401","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}
Pub Date : 2018-10-01DOI: 10.1109/METROSEA.2018.8657857
A. Innac, S. Gaglione, A. Angrisano
Single Frequency-Precise Point Positioning (SF-PPP) processing strategy is a hot topic in GNSS context, owing to the advantages of a stand-alone, accurate and cost efficiency positioning. However, the existing SF-PPP methods can be hardly implemented for high-precision applications due to the large error sources that affect accuracy and converge time of PPP solution. For this aim, the paper proposes a SF-PPP approach based on the processing of code and carrier phase measurements from multi-GNSS constellation. The algorithm is tested using a static data collection carried out in an open-sky scenario. Results show a decimeter level accuracy on horizontal and vertical components of the position.
{"title":"Multi-GNSS Single Frequency Precise Point Positioning","authors":"A. Innac, S. Gaglione, A. Angrisano","doi":"10.1109/METROSEA.2018.8657857","DOIUrl":"https://doi.org/10.1109/METROSEA.2018.8657857","url":null,"abstract":"Single Frequency-Precise Point Positioning (SF-PPP) processing strategy is a hot topic in GNSS context, owing to the advantages of a stand-alone, accurate and cost efficiency positioning. However, the existing SF-PPP methods can be hardly implemented for high-precision applications due to the large error sources that affect accuracy and converge time of PPP solution. For this aim, the paper proposes a SF-PPP approach based on the processing of code and carrier phase measurements from multi-GNSS constellation. The algorithm is tested using a static data collection carried out in an open-sky scenario. Results show a decimeter level accuracy on horizontal and vertical components of the position.","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":"128979989","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}
Pub Date : 2018-10-01DOI: 10.1109/METROSEA.2018.8657874
R. Romeo, S. Lago, P. A. Giuliano Albo, M. Le Menn
Seawater density has a great importance in the oceanographic science, since it can be used for salinity determination, if density is known with the necessary accuracy. For that reason, a review of the methods for density measurements suitable for seawater measurements is presented. Furthermore, in this work standard seawater density is measured at different practical salinities (from 9.997 to 37.999) in the temperature range between (278.15 to 308.15) K at ambient pressure. Measurements are carried out by means of a vibrating tube densimeter and following the substitution method (alternating samples of seawater and ordinary water). Besides, an accurate analysis of the density uncertainty has been performed, obtaining an expanded uncertainty of 0.004%. Measurements are carried out and compared with density results given in the literature, performed with the same technique.
{"title":"Seawater density measurements in the temperature range between 278.15 K and 308.15 K at ambient pressure","authors":"R. Romeo, S. Lago, P. A. Giuliano Albo, M. Le Menn","doi":"10.1109/METROSEA.2018.8657874","DOIUrl":"https://doi.org/10.1109/METROSEA.2018.8657874","url":null,"abstract":"Seawater density has a great importance in the oceanographic science, since it can be used for salinity determination, if density is known with the necessary accuracy. For that reason, a review of the methods for density measurements suitable for seawater measurements is presented. Furthermore, in this work standard seawater density is measured at different practical salinities (from 9.997 to 37.999) in the temperature range between (278.15 to 308.15) K at ambient pressure. Measurements are carried out by means of a vibrating tube densimeter and following the substitution method (alternating samples of seawater and ordinary water). Besides, an accurate analysis of the density uncertainty has been performed, obtaining an expanded uncertainty of 0.004%. Measurements are carried out and compared with density results given in the literature, performed with the same technique.","PeriodicalId":252792,"journal":{"name":"2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)","volume":"22 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":"116654364","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}
Pub Date : 2018-10-01DOI: 10.1109/METROSEA.2018.8657828
S. Pizzo, Aniello De Martino, Giancarlo De Viti, R. L. Testa, Giuseppe De Angelis
The Internet of Things (IoT) is the recent way to join low-cost hardware and cloud computing, in order to manage a network of physical devices and their data collection. During the last years the number of devices connected to IoT is dramatically increased, as well as, the number of webservices which allow to collect and manage the data. Most of these services are free for personal use, and low-cost for commercial purposes. In this work, the IoT technology was employed to monitor the health status of maritime signals, such as buoys, seamarks, beacons, etc. The developed system allows to react swiftly and efficiently if a problem occurs, in order to preserve both the safety of navigation and the signals integrity. Furthermore, the developed hardware equipment is low-cost as well as the webservices employed to notify possible problems. The system was, initially, developed to follow the position of a buoy using a GNSS device for this reason, even now, the system name is "Buoy Monitoring System" (BMS). Specifically, the paper describes the system design, its realization and the results obtained in terms of reliability; the case study regards all light maritime signals that operate in the Taranto harbor.
{"title":"IoT for Buoy Monitoring System","authors":"S. Pizzo, Aniello De Martino, Giancarlo De Viti, R. L. Testa, Giuseppe De Angelis","doi":"10.1109/METROSEA.2018.8657828","DOIUrl":"https://doi.org/10.1109/METROSEA.2018.8657828","url":null,"abstract":"The Internet of Things (IoT) is the recent way to join low-cost hardware and cloud computing, in order to manage a network of physical devices and their data collection. During the last years the number of devices connected to IoT is dramatically increased, as well as, the number of webservices which allow to collect and manage the data. Most of these services are free for personal use, and low-cost for commercial purposes. In this work, the IoT technology was employed to monitor the health status of maritime signals, such as buoys, seamarks, beacons, etc. The developed system allows to react swiftly and efficiently if a problem occurs, in order to preserve both the safety of navigation and the signals integrity. Furthermore, the developed hardware equipment is low-cost as well as the webservices employed to notify possible problems. The system was, initially, developed to follow the position of a buoy using a GNSS device for this reason, even now, the system name is \"Buoy Monitoring System\" (BMS). Specifically, the paper describes the system design, its realization and the results obtained in terms of reliability; the case study regards all light maritime signals that operate in the Taranto harbor.","PeriodicalId":252792,"journal":{"name":"2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)","volume":"5 26","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114044378","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}
Pub Date : 2018-10-01DOI: 10.1109/METROSEA.2018.8657871
Magdalena Korsachka, J. Marinski, Veronika Andrea, C. Stylios
The increased human activity and uncontrolled pressure on ports and their surroundings has led to their gradual coastal erosion and environmental degradation [1] . The sustainable development of sea ports is highly dependent on the planning of environmental management policies and strategies which should be based on financial, environmental and social factors in line with the legal frame and technical requirements for each case study. Towards effective planning it is crucial to incorporate environmental monitoring systems [2] . However, even though the Balkan Mediterranean ports have already established integrated systems for environmental management, only a minority of the port authorities are able to operate environmental monitoring systems in terms of efficient cooperation and networking with other port operators and decision makers of the surrounding areas. Thus, the port of Bourgas is inevitable listed under the aforementioned cases.
{"title":"Implementation of a Pilot Monitoring Plan in Bourgas Seaport","authors":"Magdalena Korsachka, J. Marinski, Veronika Andrea, C. Stylios","doi":"10.1109/METROSEA.2018.8657871","DOIUrl":"https://doi.org/10.1109/METROSEA.2018.8657871","url":null,"abstract":"The increased human activity and uncontrolled pressure on ports and their surroundings has led to their gradual coastal erosion and environmental degradation [1] . The sustainable development of sea ports is highly dependent on the planning of environmental management policies and strategies which should be based on financial, environmental and social factors in line with the legal frame and technical requirements for each case study. Towards effective planning it is crucial to incorporate environmental monitoring systems [2] . However, even though the Balkan Mediterranean ports have already established integrated systems for environmental management, only a minority of the port authorities are able to operate environmental monitoring systems in terms of efficient cooperation and networking with other port operators and decision makers of the surrounding areas. Thus, the port of Bourgas is inevitable listed under the aforementioned cases.","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":"122649994","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：