Pub Date : 2024-10-28DOI: 10.1016/j.ocecoaman.2024.107453
Laura Brewington , Victoria W. Keener , Kaʻāina Hull , Ruby Pap , Marie Williams
Peer-to-peer exchange across sectors or regions can promote transparency and social learning, and enhance the scalability and transferability of research outputs and outcomes. From 2021 to 2023, the Pacific Research on Island Solutions for Adaptation (Pacific RISA) climate adaptation research program facilitated four such exchanges designed to inform the County of Kauaʻi, Hawaiʻi, in the development of a county-wide Climate Adaptation Plan. Through these exchanges, Pacific RISA worked as a boundary organization with dozens of representatives from various departments and agencies in Hawaiʻi and nationally to identify practical adaptation solutions. Exchange outcomes included new Sea Level Rise Constraint District legislation that made Kauaʻi one of the first municipalities in the United States to regulate construction based on future sea level rise impacts; a deeper understanding of statewide frameworks related to adaptation and managed retreat; and the use of peer exchanges as a model for transparent and inclusive community engagement and communication. High-level leadership and strong science-based risk-assessment were identified as critical for planning and legislative success. Taken together, this peer-to-peer exchange process has helped foster transformational adaptation to meet the rapidly growing needs of communities in Hawaiʻi that are experiencing the impacts of climate change, and led to accelerated policy implementation scaling across seemingly disparate regions.
{"title":"Peer-to-peer exchanges on island resilience planning for transformative adaptation to climate hazards","authors":"Laura Brewington , Victoria W. Keener , Kaʻāina Hull , Ruby Pap , Marie Williams","doi":"10.1016/j.ocecoaman.2024.107453","DOIUrl":"10.1016/j.ocecoaman.2024.107453","url":null,"abstract":"<div><div>Peer-to-peer exchange across sectors or regions can promote transparency and social learning, and enhance the scalability and transferability of research outputs and outcomes. From 2021 to 2023, the Pacific Research on Island Solutions for Adaptation (Pacific RISA) climate adaptation research program facilitated four such exchanges designed to inform the County of Kauaʻi, Hawaiʻi, in the development of a county-wide Climate Adaptation Plan. Through these exchanges, Pacific RISA worked as a boundary organization with dozens of representatives from various departments and agencies in Hawaiʻi and nationally to identify practical adaptation solutions. Exchange outcomes included new Sea Level Rise Constraint District legislation that made Kauaʻi one of the first municipalities in the United States to regulate construction based on future sea level rise impacts; a deeper understanding of statewide frameworks related to adaptation and managed retreat; and the use of peer exchanges as a model for transparent and inclusive community engagement and communication. High-level leadership and strong science-based risk-assessment were identified as critical for planning and legislative success. Taken together, this peer-to-peer exchange process has helped foster transformational adaptation to meet the rapidly growing needs of communities in Hawaiʻi that are experiencing the impacts of climate change, and led to accelerated policy implementation scaling across seemingly disparate regions.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":"259 ","pages":"Article 107453"},"PeriodicalIF":4.8,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-25DOI: 10.1016/j.ocecoaman.2024.107456
Andrea Mattia Pacifico , Daniele Brigolin , Luca Mulazzani , Mara Semeraro , Giulio Malorgio
Assessing the ecosystem services (ESs) provided by marine aquaculture is a promising approach to support policymakers in planning and management processes. Among the different types of marine aquaculture, mussel farming holds the potential to address the dual challenges of delivering food security and providing multiple ESs, emerging as a sustainable human activity and animal protein production. This paper employed a Total Economic Value (TEV) approach to quantify four ESs that were expected to be influenced by Mediterranean mussel, Mytilus galloprovincialis, aquaculture in the Mar Piccolo of Taranto (Ionian Sea), including (i) food provision, (ii) carbon sequestration, (iii) nutrient removal, and (iv) local identity. The findings provided valuable data regarding the multifunctionality of mussel aquaculture in providing non-commodity outputs, supporting policy recommendations. Specifically, the results revealed that mussel aquaculture enhances the flow of regulating services, thus demonstrating the overall sustainability of the practices. Local identity emerged as the greatest contributor to the TEV, due to the activity's longstanding tradition in the study area. Economic values per unit of the assessed ESs were provided for implementation in real-world scenarios at the policy level, enabling the transferability of the study's results in a broader international context. The study advocated for integrating the estimated ESs values into decision-making tools and during marine spatial planning processes to operationalize economic valuations. Overall, the findings can be framed within ongoing research efforts aimed at developing innovative methodologies to support the implementation of the Ecosystem Approach to Aquaculture (EAA) and to inform decision-making in the context of marine spatial planning.
评估海水养殖提供的生态系统服务(ESs)是支持政策制定者规划和管理过程的一种有前途的方法。在不同类型的海水养殖中,贻贝养殖有潜力应对提供粮食安全和多种生态系统服务的双重挑战,成为一种可持续的人类活动和动物蛋白生产。本文采用总经济价值(TEV)方法,量化了塔兰托皮科洛海(爱奥尼亚海)地中海贻贝(Mytilus galloprovincialis)水产养殖预计会影响的四种环境服务,包括(i)食物供应、(ii)碳固存、(iii)营养清除和(iv)地方认同。研究结果提供了有关贻贝养殖在提供非商品产出方面的多功能性的宝贵数据,为政策建议提供了支持。具体而言,研究结果表明,贻贝养殖增强了调节服务的流动,从而证明了这种做法的整体可持续性。由于贻贝养殖活动在研究区域具有悠久的传统,因此当地特征成为 TEV 的最大贡献者。评估的环境服务的单位经济价值可在政策层面的实际情景中实施,从而使研究结果能够在更广泛的国际背景下进行转移。该研究提倡在海洋空间规划过程中将估计的生态系统服务价值纳入决策工具,以实现经济价值的可操作性。总之,研究结果可纳入正在进行的旨在开发创新方法的研究工作中,以支持水产养殖生态系统方法(EAA)的实施,并为海洋空间规划决策提供信息。
{"title":"Managing marine aquaculture by assessing its contribution to ecosystem services provision: The case of Mediterranean mussel, Mytilus galloprovincialis","authors":"Andrea Mattia Pacifico , Daniele Brigolin , Luca Mulazzani , Mara Semeraro , Giulio Malorgio","doi":"10.1016/j.ocecoaman.2024.107456","DOIUrl":"10.1016/j.ocecoaman.2024.107456","url":null,"abstract":"<div><div>Assessing the ecosystem services (ESs) provided by marine aquaculture is a promising approach to support policymakers in planning and management processes. Among the different types of marine aquaculture, mussel farming holds the potential to address the dual challenges of delivering food security and providing multiple ESs, emerging as a sustainable human activity and animal protein production. This paper employed a Total Economic Value (TEV) approach to quantify four ESs that were expected to be influenced by Mediterranean mussel, <em>Mytilus galloprovincialis</em>, aquaculture in the Mar Piccolo of Taranto (Ionian Sea), including (i) food provision, (ii) carbon sequestration, (iii) nutrient removal, and (iv) local identity. The findings provided valuable data regarding the multifunctionality of mussel aquaculture in providing non-commodity outputs, supporting policy recommendations. Specifically, the results revealed that mussel aquaculture enhances the flow of regulating services, thus demonstrating the overall sustainability of the practices. Local identity emerged as the greatest contributor to the TEV, due to the activity's longstanding tradition in the study area. Economic values per unit of the assessed ESs were provided for implementation in real-world scenarios at the policy level, enabling the transferability of the study's results in a broader international context. The study advocated for integrating the estimated ESs values into decision-making tools and during marine spatial planning processes to operationalize economic valuations. Overall, the findings can be framed within ongoing research efforts aimed at developing innovative methodologies to support the implementation of the Ecosystem Approach to Aquaculture (EAA) and to inform decision-making in the context of marine spatial planning.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":"259 ","pages":"Article 107456"},"PeriodicalIF":4.8,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-25DOI: 10.1016/j.ocecoaman.2024.107437
Jihong Chen , Tingfang Li , Huida Zhao
Fierce competition between ports may trigger substantial issues including port congestion, further wreaking havoc on the system resilience of ports. The coordinated integration of ports becomes a feasible and indispensable strategy for mitigating competitive pressure and enhancing the system resilience. In a two-tier supply chain within trade activities between two adjacent ports, we discuss the competitive and cooperative strategy selections between ports by a bilateral bargaining game to investigate how to improve the system resilience of ports in coping with congestion. The results reveal that port cooperation has the advantage of improving throughput and the system resilience of ports by alleviating port congestion, but becomes more challenging as the advantageous port's bargaining power and competitive intensity increase. Although under the pressure of high freight rates, shipping companies are still willing to actively participate in and promote the coordinated integration of ports for a premium service provided by ports. From the overall shipping supply chain, port cooperation optimizes the entire operation of port system and promotes profits from the high system resilience, demonstrating a better environmental performance by dealing with congestion. In light of the conclusions, it is essential to vigorously establish a port-port alliance through coordinated contracts to tackle congestion and enhance resilience, thereby boosting competitiveness and ensuring profitability in the whole system of ports.
{"title":"Independent operation or coordinated integration? Enhancing the system resilience of ports in dealing with congestion based on a bilateral bargaining game","authors":"Jihong Chen , Tingfang Li , Huida Zhao","doi":"10.1016/j.ocecoaman.2024.107437","DOIUrl":"10.1016/j.ocecoaman.2024.107437","url":null,"abstract":"<div><div>Fierce competition between ports may trigger substantial issues including port congestion, further wreaking havoc on the system resilience of ports. The coordinated integration of ports becomes a feasible and indispensable strategy for mitigating competitive pressure and enhancing the system resilience. In a two-tier supply chain within trade activities between two adjacent ports, we discuss the competitive and cooperative strategy selections between ports by a bilateral bargaining game to investigate how to improve the system resilience of ports in coping with congestion. The results reveal that port cooperation has the advantage of improving throughput and the system resilience of ports by alleviating port congestion, but becomes more challenging as the advantageous port's bargaining power and competitive intensity increase. Although under the pressure of high freight rates, shipping companies are still willing to actively participate in and promote the coordinated integration of ports for a premium service provided by ports. From the overall shipping supply chain, port cooperation optimizes the entire operation of port system and promotes profits from the high system resilience, demonstrating a better environmental performance by dealing with congestion. In light of the conclusions, it is essential to vigorously establish a port-port alliance through coordinated contracts to tackle congestion and enhance resilience, thereby boosting competitiveness and ensuring profitability in the whole system of ports.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":"259 ","pages":"Article 107437"},"PeriodicalIF":4.8,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-25DOI: 10.1016/j.ocecoaman.2024.107404
Paul Lawlor , J.A.G. Cooper
Global climate change presents a range of impacts on Ireland's economy and society with particular challenges facing coastal areas. The need to adapt to these risks is considered both urgent and essential and the policy framework has evolved to meet these challenges with the adoption of climate action legislation and a National Adaptation Framework (NAF) to facilitate the transition to a climate-resilient economy and society by 2050. This paper briefly reviews the European and Irish government policy context for sectoral climate adaptation before reviewing and classifying the sectoral policy measures introduced to reduce vulnerabilities to climate change impacts. While the analysis reveals that progress has been made by adopting climate action legislation and by developing a suite of climate action focussed plans, it also demonstrates that the policy measures included in the Sectoral Adaptation Plans to reduce climate change vulnerabilities are limited in number and lacking in effectiveness. Furthermore, their application to cross-cutting themes, exemplified by the coast, is inadequate to deal with the practical climate change issues. These findings indicate that Ireland is at a preliminary stage when assessed according to the EU adaptation preparedness scorecard.
{"title":"Analysis of contemporary climate adaptation policies in Ireland and their application to the coastal zone","authors":"Paul Lawlor , J.A.G. Cooper","doi":"10.1016/j.ocecoaman.2024.107404","DOIUrl":"10.1016/j.ocecoaman.2024.107404","url":null,"abstract":"<div><div>Global climate change presents a range of impacts on Ireland's economy and society with particular challenges facing coastal areas. The need to adapt to these risks is considered both urgent and essential and the policy framework has evolved to meet these challenges with the adoption of climate action legislation and a National Adaptation Framework (NAF) to facilitate the transition to a climate-resilient economy and society by 2050. This paper briefly reviews the European and Irish government policy context for sectoral climate adaptation before reviewing and classifying the sectoral policy measures introduced to reduce vulnerabilities to climate change impacts. While the analysis reveals that progress has been made by adopting climate action legislation and by developing a suite of climate action focussed plans, it also demonstrates that the policy measures included in the Sectoral Adaptation Plans to reduce climate change vulnerabilities are limited in number and lacking in effectiveness. Furthermore, their application to cross-cutting themes, exemplified by the coast, is inadequate to deal with the practical climate change issues. These findings indicate that Ireland is at a preliminary stage when assessed according to the EU adaptation preparedness scorecard.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":"259 ","pages":"Article 107404"},"PeriodicalIF":4.8,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-25DOI: 10.1016/j.ocecoaman.2024.107449
Jingbo Yin , Rafi Ullah Khan , Muhammad Afzaal , R. Nawaz , Xiao Shanshan , Arshad Jamal
Language and communication issues pose a formidable risk to maritime safety. In maritime transportation, the effectiveness of speech acts and closed-loop communication is vulnerable to a wide array of factors. However, literature quantifying the impact of these factors on language and communication-induced accident risk is scarce. To that end, this study conducts a holistic quantitative risk assessment for the language and communication issues induced accidents in maritime transportation. The methodology consists of employing expert judgments, past literature, and accident reports to identify causation factors and a Fuzzy Bayesian approach to risk analysis. Bidirectionally propagated inferential analysis was conducted to determine the impact of factors under consideration in various scenarios. Lack of language proficiency and violations of the roles and regulations of communication were identified as prominent accident causation factors. Simultaneous evidence-setting analysis was conducted to determine the domino effect of the causation factors. A sensitivity analysis was performed to reveal the most critical factors causing language and communication issues induced accident risk. This study unravels the nuanced dynamics of language-related risk in maritime safety. The findings of this study can be used to propose guidelines and policies for effective communication and hence safer maritime operations.
{"title":"A fuzzy bayesian quantitative risk assessment for language and communication induced accidents in maritime operations","authors":"Jingbo Yin , Rafi Ullah Khan , Muhammad Afzaal , R. Nawaz , Xiao Shanshan , Arshad Jamal","doi":"10.1016/j.ocecoaman.2024.107449","DOIUrl":"10.1016/j.ocecoaman.2024.107449","url":null,"abstract":"<div><div>Language and communication issues pose a formidable risk to maritime safety. In maritime transportation, the effectiveness of speech acts and closed-loop communication is vulnerable to a wide array of factors. However, literature quantifying the impact of these factors on language and communication-induced accident risk is scarce. To that end, this study conducts a holistic quantitative risk assessment for the language and communication issues induced accidents in maritime transportation. The methodology consists of employing expert judgments, past literature, and accident reports to identify causation factors and a Fuzzy Bayesian approach to risk analysis. Bidirectionally propagated inferential analysis was conducted to determine the impact of factors under consideration in various scenarios. Lack of language proficiency and violations of the roles and regulations of communication were identified as prominent accident causation factors. Simultaneous evidence-setting analysis was conducted to determine the domino effect of the causation factors. A sensitivity analysis was performed to reveal the most critical factors causing language and communication issues induced accident risk. This study unravels the nuanced dynamics of language-related risk in maritime safety. The findings of this study can be used to propose guidelines and policies for effective communication and hence safer maritime operations.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":"259 ","pages":"Article 107449"},"PeriodicalIF":4.8,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142529975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Assessing temporal and spatial changes in marine ecosystem assets is critical for the capitalized management of natural resources and their contribution to human well-being. However, quantifying these changes using different inclusion methods in the System National Account is a challenge. Ecosystem accounting has become a popular topic in recent years, particularly after the System of Environmental and Economic Accounting-Ecosystem Accounting was published in 2021. However, few practical studies have been conducted on offshore marine ecosystem accounting, including marine ecosystem assets and services. This study provides a systematic framework to prioritize the assessment of offshore marine ecosystem assets (extent and condition) in physical terms, including the determined indicators of physical accounts and the presentation of accounting results. We then used this framework to assess marine ecosystem assets in the Xiamen Sea Area selected from 2006 to 2020. The results show that: (a) The extent of the marine ecosystem in Xiamen decreased by 8.34% from 349.64 km2 to 320.49 km2, mainly caused by converting intertidal ecosystem into the land due to the demand for urban and industrial use sea. (b) The area of intertidal vegetation habitats (mangroves and salt marshes) increased from 23.22 hm2 to 132.2 hm2, with an increase of 4.7 times. The results also show that the restoration of the marine ecology in Xiamen has achieved remarkable results. (c) The marine ecosystem condition comprehensive index in Xiamen increased by 3.13% from 0.32 to 0.33. This shows that the marine ecosystem conditions in Xiamen remain well and have even slightly improved under the pressure of a rapidly developing economy and increasing population. This study provides practical technical methods for assessing offshore marine ecosystem in physical term to support integrated coastal management in coastal cities, and is important for assessing marine ecosystem services in the future.
{"title":"Tracing offshore marine ecosystem asset changes based on physical accounting: A case of Xiamen Sea Area","authors":"Junbo Wang , Benrong Peng , Lingfeng Huang , Keliang Chen","doi":"10.1016/j.ocecoaman.2024.107420","DOIUrl":"10.1016/j.ocecoaman.2024.107420","url":null,"abstract":"<div><div>Assessing temporal and spatial changes in marine ecosystem assets is critical for the capitalized management of natural resources and their contribution to human well-being. However, quantifying these changes using different inclusion methods in the <em>System National Account</em> is a challenge. Ecosystem accounting has become a popular topic in recent years, particularly after <em>the System of Environmental and Economic Accounting-Ecosystem Accounting</em> was published in 2021. However, few practical studies have been conducted on offshore marine ecosystem accounting, including marine ecosystem assets and services. This study provides a systematic framework to prioritize the assessment of offshore marine ecosystem assets (extent and condition) in physical terms, including the determined indicators of physical accounts and the presentation of accounting results. We then used this framework to assess marine ecosystem assets in the Xiamen Sea Area selected from 2006 to 2020. The results show that: (a) The extent of the marine ecosystem in Xiamen decreased by 8.34% from 349.64 km<sup>2</sup> to 320.49 km<sup>2</sup>, mainly caused by converting intertidal ecosystem into the land due to the demand for urban and industrial use sea. (b) The area of intertidal vegetation habitats (mangroves and salt marshes) increased from 23.22 hm<sup>2</sup> to 132.2 hm<sup>2</sup>, with an increase of 4.7 times. The results also show that the restoration of the marine ecology in Xiamen has achieved remarkable results. (c) The marine ecosystem condition comprehensive index in Xiamen increased by 3.13% from 0.32 to 0.33. This shows that the marine ecosystem conditions in Xiamen remain well and have even slightly improved under the pressure of a rapidly developing economy and increasing population. This study provides practical technical methods for assessing offshore marine ecosystem in physical term to support integrated coastal management in coastal cities, and is important for assessing marine ecosystem services in the future.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":"259 ","pages":"Article 107420"},"PeriodicalIF":4.8,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-23DOI: 10.1016/j.ocecoaman.2024.107450
Jiongjiong Liu , Jinfen Zhang , Zaili Yang , Mingyang Zhang , Wuliu Tian
To accurately reflect risk attitudes towards ship intentions in multi-ship encounters, this paper develops a novel two-stage collaborative collision avoidance decision-making (CADM) model by incorporating intention prediction and real-time decision-making. We acquire prior knowledge of risk attitudes by analyzing Automatic Identification System (AIS) data and further estimate the probability distributions of encountering ship's risk attitude using Bayesian reasoning. By treating collision avoidance procedure as a static game with incomplete information, a predictive model for collision avoidance intentions is developed by taking account into risk attitude probabilities. Real-time decisions are then implemented according to different stages, and a collaborative CADM model is established by a game-decision cycle. Finally, a multi-ship encounter scenario is simulated under all combinations of risk attitudes, and the results are compared with those obtained under complete information. The results demonstrate that the proposed model can formulate avoidance actions that meet safety requirements under all combinations of risk attitudes. Further comparison with complete information proves the effectiveness of the risk attitude probability model, which is conducive to improving the decision-making flexibility and reducing complexity. The research findings enhance the collaborative decision-making, contributing to the development of autonomous navigation in open waters.
{"title":"A game-based decision-making method for multi-ship collaborative collision avoidance reflecting risk attitudes in open waters","authors":"Jiongjiong Liu , Jinfen Zhang , Zaili Yang , Mingyang Zhang , Wuliu Tian","doi":"10.1016/j.ocecoaman.2024.107450","DOIUrl":"10.1016/j.ocecoaman.2024.107450","url":null,"abstract":"<div><div>To accurately reflect risk attitudes towards ship intentions in multi-ship encounters, this paper develops a novel two-stage collaborative collision avoidance decision-making (CADM) model by incorporating intention prediction and real-time decision-making. We acquire prior knowledge of risk attitudes by analyzing Automatic Identification System (AIS) data and further estimate the probability distributions of encountering ship's risk attitude using Bayesian reasoning. By treating collision avoidance procedure as a static game with incomplete information, a predictive model for collision avoidance intentions is developed by taking account into risk attitude probabilities. Real-time decisions are then implemented according to different stages, and a collaborative CADM model is established by a game-decision cycle. Finally, a multi-ship encounter scenario is simulated under all combinations of risk attitudes, and the results are compared with those obtained under complete information. The results demonstrate that the proposed model can formulate avoidance actions that meet safety requirements under all combinations of risk attitudes. Further comparison with complete information proves the effectiveness of the risk attitude probability model, which is conducive to improving the decision-making flexibility and reducing complexity. The research findings enhance the collaborative decision-making, contributing to the development of autonomous navigation in open waters.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":"259 ","pages":"Article 107450"},"PeriodicalIF":4.8,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The increasing demands for energy efficiency and environmental sustainability in the maritime industry have underscored the critical importance of optimizing autopilot systems, which, despite their significance, are often overlooked in ship energy efficiency management. The objective of this study is to enhance the energy efficiency of ships by focusing on the efficiency of autopilot systems, which play a significant role in the management of energy efficiency. The research emphasizes the need for effective decision support systems for ship operators, not only for optimizing ship speeds but also for making informed operational decisions. By utilizing Fuzzy Fault Tree Analysis (FFTA), the study identifies and prioritizes the causes of efficiency losses in autopilot systems and examines their frequency. Based on expert opinions, the research delves into the complexity of autopilot systems and the interactions among various components. Notably, the study highlights the impact of multiple factors on the efficiency of complex autopilot systems, elucidating their relationships through Minimum Cut Sets (MCS) analysis. Furthermore, attention was drawn to the “Improper Alarm Input” event caused by insufficient knowledge and awareness among ship operators, which hinders the effective use of autopilot systems. The findings demonstrate that decision support systems can increase energy efficiency and contribute to the reduction of operational errors by reducing the human factor, which is 99% effective on the “Inefficient Heading Control System”. Additionally, proper utilization of autopilot systems can lead to a decrease in a ship's carbon footprint and operating costs. Overall, the results can affect strategic decisions in ship energy efficiency management and encourage significant steps toward achieving International Maritime Organization's (IMO) sustainability objectives.
{"title":"The effect of failure on energy efficiency in maritime vessels autopilot systems","authors":"Hürol Hocek , Devran Yazır , Cemalettin Aygün , Ünal Özdemir","doi":"10.1016/j.ocecoaman.2024.107451","DOIUrl":"10.1016/j.ocecoaman.2024.107451","url":null,"abstract":"<div><div>The increasing demands for energy efficiency and environmental sustainability in the maritime industry have underscored the critical importance of optimizing autopilot systems, which, despite their significance, are often overlooked in ship energy efficiency management. The objective of this study is to enhance the energy efficiency of ships by focusing on the efficiency of autopilot systems, which play a significant role in the management of energy efficiency. The research emphasizes the need for effective decision support systems for ship operators, not only for optimizing ship speeds but also for making informed operational decisions. By utilizing Fuzzy Fault Tree Analysis (FFTA), the study identifies and prioritizes the causes of efficiency losses in autopilot systems and examines their frequency. Based on expert opinions, the research delves into the complexity of autopilot systems and the interactions among various components. Notably, the study highlights the impact of multiple factors on the efficiency of complex autopilot systems, elucidating their relationships through Minimum Cut Sets (MCS) analysis. Furthermore, attention was drawn to the “Improper Alarm Input” event caused by insufficient knowledge and awareness among ship operators, which hinders the effective use of autopilot systems. The findings demonstrate that decision support systems can increase energy efficiency and contribute to the reduction of operational errors by reducing the human factor, which is 99% effective on the “Inefficient Heading Control System”. Additionally, proper utilization of autopilot systems can lead to a decrease in a ship's carbon footprint and operating costs. Overall, the results can affect strategic decisions in ship energy efficiency management and encourage significant steps toward achieving International Maritime Organization's (IMO) sustainability objectives.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":"259 ","pages":"Article 107451"},"PeriodicalIF":4.8,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-22DOI: 10.1016/j.ocecoaman.2024.107429
Xiaohui Qiao , Vincent Lecours , Anna E. Braswell , Joy E. Hazell
A significant proportion of Florida's population lives on the coast and is directly impacted by alterations to the coastal zone, weather disasters (e.g., hurricanes, erosion, flooding), or changes to ecosystem services. Data collected in Florida waters (including water quality, habitat health, bathymetry, and fisheries data) are important for the maintenance of coastal waters, communities, and ecosystems. Yet benthic data collected by a variety of stakeholders are often not shared or openly available, with little metadata to ease data reuse, and are often stored in incompatible formats. To assess the needs of government agencies, private companies, academic researchers, and data managers, we conducted a survey and organized an expert focus group to determine the current state of coastal and marine data usage and distribution in Florida. Through the survey, we asked participants to describe the types of data they use or collect, how they use that data, what limitations they encounter with data sharing, how and when they share their data, and what sorts of metadata standards they use in their work. We determined that many data producers and users are unaware of data standards and often do not follow best management practices for data collection and sharing. The sector of activity of the individual respondent (government, academic, non-profit) determined how data users were interacting with or collecting data and what standards they followed when sharing data. Our expert panel largely echoed our findings, with consistent, well-documented, and standardized datasets being the most important components for data integration in projects. To advance accessibility and reusability of benthic data, our project highlights the need for additional training of stakeholders on data standardization, collaboration and integration, which needs to be applied across institutions. A major need that was identified is tools that make data sharing and metadata creation easier and more efficient.
{"title":"Identifying community practices in marine benthic data usage in Florida","authors":"Xiaohui Qiao , Vincent Lecours , Anna E. Braswell , Joy E. Hazell","doi":"10.1016/j.ocecoaman.2024.107429","DOIUrl":"10.1016/j.ocecoaman.2024.107429","url":null,"abstract":"<div><div>A significant proportion of Florida's population lives on the coast and is directly impacted by alterations to the coastal zone, weather disasters (<em>e.g.</em>, hurricanes, erosion, flooding), or changes to ecosystem services. Data collected in Florida waters (including water quality, habitat health, bathymetry, and fisheries data) are important for the maintenance of coastal waters, communities, and ecosystems. Yet benthic data collected by a variety of stakeholders are often not shared or openly available, with little metadata to ease data reuse, and are often stored in incompatible formats. To assess the needs of government agencies, private companies, academic researchers, and data managers, we conducted a survey and organized an expert focus group to determine the current state of coastal and marine data usage and distribution in Florida. Through the survey, we asked participants to describe the types of data they use or collect, how they use that data, what limitations they encounter with data sharing, how and when they share their data, and what sorts of metadata standards they use in their work. We determined that many data producers and users are unaware of data standards and often do not follow best management practices for data collection and sharing. The sector of activity of the individual respondent (government, academic, non-profit) determined how data users were interacting with or collecting data and what standards they followed when sharing data. Our expert panel largely echoed our findings, with consistent, well-documented, and standardized datasets being the most important components for data integration in projects. To advance accessibility and reusability of benthic data, our project highlights the need for additional training of stakeholders on data standardization, collaboration and integration, which needs to be applied across institutions. A major need that was identified is tools that make data sharing and metadata creation easier and more efficient.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":"259 ","pages":"Article 107429"},"PeriodicalIF":4.8,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142529977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Understanding the activity and wave characteristics of different TC track types with different formation mechanisms is crucial for coastal and ocean engineering. In this study, a hybrid clustering method based on track indicators representing track shape and influence region is proposed to classify 721 TC tracks along the coast of China into three track types. Due to the intrinsic similarity of track indicators diagnosed by the self-organizing map method, the initial clustering centroid selection of K-means method is reasonable. 5000 clustering trials show that the clustering results are more robust than those of the traditional K-means method, and the average difference percentage decreases from 11.3% to 5.5%. By analyzing the robust clustering results, the activity characteristics of three TC types under the background of atmospheric circulation patterns and the characteristics of the waves generated by the three TC types are studied, especially the characteristics of extreme waves. The joint distribution pattern of extreme wave height and wave direction indicates the direction sector shift and frequency change caused by different TC types. These results provide important insights for risk analysis and resilience construction of coastal and ocean engineering structures.
{"title":"Study of tropical cyclone wave characteristics based on a hybrid track clustering method","authors":"Jiaqian Li , Zhuxiao Shao , Bingchen Liang , Huijun Gao","doi":"10.1016/j.ocecoaman.2024.107448","DOIUrl":"10.1016/j.ocecoaman.2024.107448","url":null,"abstract":"<div><div>Understanding the activity and wave characteristics of different TC track types with different formation mechanisms is crucial for coastal and ocean engineering. In this study, a hybrid clustering method based on track indicators representing track shape and influence region is proposed to classify 721 TC tracks along the coast of China into three track types. Due to the intrinsic similarity of track indicators diagnosed by the self-organizing map method, the initial clustering centroid selection of <em>K</em>-means method is reasonable. 5000 clustering trials show that the clustering results are more robust than those of the traditional <em>K</em>-means method, and the average difference percentage decreases from 11.3% to 5.5%. By analyzing the robust clustering results, the activity characteristics of three TC types under the background of atmospheric circulation patterns and the characteristics of the waves generated by the three TC types are studied, especially the characteristics of extreme waves. The joint distribution pattern of extreme wave height and wave direction indicates the direction sector shift and frequency change caused by different TC types. These results provide important insights for risk analysis and resilience construction of coastal and ocean engineering structures.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":"259 ","pages":"Article 107448"},"PeriodicalIF":4.8,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142529976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}