Ocean & Coastal Management最新文献

{"title":"Modeling the instant acidification effects of open-loop scrubber discharges along shipping routes","authors":"Chenyang Kang ,&nbsp;Lan Song ,&nbsp;Huahan Zhang ,&nbsp;Shujie Xu ,&nbsp;Chunmiao Zheng ,&nbsp;Yaqing Shu","doi":"10.1016/j.ocecoaman.2025.107887","DOIUrl":"10.1016/j.ocecoaman.2025.107887","url":null,"abstract":"<div><div>The widespread use of high-sulfur fuels in maritime shipping has raised serious environmental concerns, prompting the International Maritime Organization (IMO) to mandate low-sulfur fuels or exhaust gas cleaning systems (EGCS). However, open-loop EGCS discharges are highly acidic, posing potential risks to busy shipping routes and coastal ecosystems. This study developed a discrete equation-based model to assess instant seawater acidification from open-loop EGCS discharges under three scenarios. The effects of ship size and ocean currents were also examined. In the single-ship single-discharge scenario, surface pH fell below 7 within 20 m in 60 s. Continuous discharge from one or two ships led to pH levels below 4.2 in the same area and time frame, indicating wider acidification impacts. pH recovery to 7 took 1 h for single discharge, and up to 30 h for two-ship continuous discharge, suggesting prolonged acidification from combined discharges. Sensitivity analysis showed horizontal currents increased pollutant spread, while vertical currents intensified local acidification. Larger vessels caused more severe pH drops, despite similar spatial patterns across ship types. These findings highlight the environmental risks of open-loop EGCS use in coastal waters and underscore the need for stricter regulations, improved discharge strategies, and continuous monitoring to protect marine ecosystems.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":"270 ","pages":"Article 107887"},"PeriodicalIF":5.4,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144828649","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}

{"title":"Artificial intelligence-based monitoring of occupancy and stay duration on urban beaches: Analyzing climate influence in Benidorm (Spain)","authors":"Mireia Sempere-Tortosa ,&nbsp;Ignacio Toledo ,&nbsp;Diego Marcos-Jorquera ,&nbsp;Virgilio Gilart-Iglesias ,&nbsp;Luis Aragonés","doi":"10.1016/j.ocecoaman.2025.107889","DOIUrl":"10.1016/j.ocecoaman.2025.107889","url":null,"abstract":"<div><div>Accurate data on beach occupancy and its relationship with climatic factors is essential for managing public services and mitigating overcrowding in high-demand tourist destinations. This study focuses on Poniente Beach in Benidorm (Spain), where nearly 5 million beach visits were recorded between July 2023 and June 2024. Using a computer vision system based on YOLOX and ByteTrack algorithms, combined with fixed video cameras, we developed an artificial intelligence–based methodology to detect beach entries and exits and calculate occupancy and stay duration in real time. The resulting data were analyzed using Random Forest models to evaluate the influence of key climatic variables. Our findings indicate that water temperature, Heat Index, and maximum air temperature are the primary drivers of beach use. Peak occupancy exceeded 7000 simultaneous users and occurred when water temperature was above 27.5 °C and the Heat Index ranged between 32 °C and 40 °C, with attendance declining under more extreme heat. Average stay durations reached 2 h in summer but dropped below 30 min in winter. In contrast, wind and precipitation showed limited influence: wind only reduced attendance above 30 km/h, and short rain events (&lt;2 h) minimally affected daily occupancy but decreased average stay. These results demonstrate the feasibility of applying AI and big data analytics to monitor and predict beach usage patterns, enabling adaptive tourism management strategies under evolving climate conditions.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":"270 ","pages":"Article 107889"},"PeriodicalIF":5.4,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144826544","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}

{"title":"Differentiated trajectories of ecosystem-based adaptation for urban coastal defence in the Asian-Pacific region: A biodiversity–climate–society nexus perspective","authors":"Lam Thi Mai Huynh ,&nbsp;Jie Su ,&nbsp;Alexandros Gasparatos","doi":"10.1016/j.ocecoaman.2025.107799","DOIUrl":"10.1016/j.ocecoaman.2025.107799","url":null,"abstract":"<div><div>Many coastal cities already experience severe climate change impacts and are in urgent need of an immediate shift toward transformative adaptation. Ecosystem-based adaptation (EbA) measures for coastal defence have garnered increasing attention as a more sustainable and cost-effective approach to foster climate-resilient development in coastal areas. This study explores the current priorities, processes, and progress of EbA implementation for coastal defence in Asia Pacific cities. It uses the Biodiversity – Climate – Society (BCS) nexus lens popularised in the first joint report by the Intergovernmental Panel on Climate Change (IPCC) and the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES). Utilising case studies from Singapore, China, and Vietnam, we evaluate the current stage and status of EbA implementation and examine interacting outcomes, feedback loops, leverage points, and tipping points within the BCS nexus. The insights drawn here from multiple cities in Asia Pacific can offer insights that could be useful to similar coastal areas in other parts of the world as well as decision-makers and stakeholders within the broader climate change community.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":"270 ","pages":"Article 107799"},"PeriodicalIF":5.4,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144810068","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}

{"title":"Assessment of level of public knowledge, attitude, and perception towards sustainable mangrove forest conservation: a case study from Negombo, Sri Lanka","authors":"W.S.B. Wickramasingha ,&nbsp;W.W.A.M.R. Perera ,&nbsp;K.C. Kodithuwakku ,&nbsp;K.V.N.T. De Silva ,&nbsp;D.M.S.D. Karunarathne ,&nbsp;V.P.A. Weerasinghe ,&nbsp;W. Subasinghe","doi":"10.1016/j.ocecoaman.2025.107886","DOIUrl":"10.1016/j.ocecoaman.2025.107886","url":null,"abstract":"<div><div>Mangrove ecosystems play a crucial role in maintaining ecological equilibrium and strengthening the socio-economic well-being of adjacent communities through provision of resources such as timber, fish, and tourism attraction. Understanding public Knowledge, Attitudes, and Perceptions KAP) towards mangrove conservation is vital for planning effective interventions, addressing local priorities, and monitoring their success. This study investigates public KAP regarding sustainable mangrove forest conservation in the Negombo region of Sri Lanka. A survey was conducted among 395 randomly selected residents in eight Grama Niladhari Divisions (GNDs) adjoining the Negombo Lagoon area. Data was collected using structured interviewer-administered questionnaires and community perspectives were assessed through Likert scale correlation analyses using SPSS (version 26) software. Of 395 participants, 51.39 % were males and 48.61 % were females. The study revealed high levels of community knowledge (mean scores 3.92–4.72) about the importance of mangroves. However, attitudes towards conservation exhibited greater variability (mean scores 3.2–4.88). Notably, positive perceptions towards conservation prevailed (mean scores 4.47–4.83). Interestingly, females demonstrated more positive attitudes and perceptions than males, while knowledge levels remained comparable across genders. An overwhelming (96.2 %) number of respondents acknowledged the detrimental impacts of mangrove loss on the environment and local economies, attributing degradation to factors like chemical pollution, illegal clearing, and development activities. Strong positive correlations (knowledge &amp; attitude: r = 0.90, knowledge &amp; perception: r = 0.80, attitude &amp; perception: r = 0.86) underscored the interconnectedness of these factors. Based on the findings, the study recommends scientifically informed mangrove replanting initiatives, coupled with policy adjustments and comprehensive conservation strategies, to ensure the long-term sustainability of these vital ecosystems. These findings offer valuable insights for future research and can inform policy interventions and optimize campaigns for sustainable mangrove management, ultimately benefiting both the environment and local communities.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":"270 ","pages":"Article 107886"},"PeriodicalIF":5.4,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144770690","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}

{"title":"Corrigendum to “Assessing the vulnerability of small-scale fishery communities in the estuarine areas of central Vietnam in the context of increasing climate risks” [Ocean Coast. Manag. 196, (2020) 105302]","authors":"Ha Dung Hoang ,&nbsp;Salim Momtaz ,&nbsp;Maria Schreider","doi":"10.1016/j.ocecoaman.2025.107885","DOIUrl":"10.1016/j.ocecoaman.2025.107885","url":null,"abstract":"","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":"270 ","pages":"Article 107885"},"PeriodicalIF":5.4,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157556","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}

{"title":"The impact of proximity to urban areas on the dissolution of fishing cooperatives: Evidence from Mexico","authors":"Edward W. Wintergalen ,&nbsp;Renato Molina","doi":"10.1016/j.ocecoaman.2025.107858","DOIUrl":"10.1016/j.ocecoaman.2025.107858","url":null,"abstract":"<div><div>Cooperative organizations are internationally promoted as a means of achieving conservation and governance objectives in small-scale fisheries (SSFs), but global trends in coastal development and population growth may be disincentivizing some fishers from joining or remaining in cooperatives. This idea has potentially important implications for SSF governance and conservation but has not been tested on a national scale. Our study aims to fill this gap by empirically establishing the relationship between Mexican fishing cooperatives’ rate of dissolution and their proximity to urban areas. The outcome of the analysis suggests that cooperatives near urban centers are more likely to dissolve. Specifically, a cooperative that is less than half an hour from an urban center is about twice as likely to go defunct compared to a similar cooperative that is farther away. This result suggests that cooperatives may be less attractive to fishers near urban areas due to social-ecological characteristics that diminish the appeal of three benefits offered by cooperativism: self-governance, collective marketing, and participation in the fishing sector. Policymakers, development practitioners, and conservation organizations in Mexico and elsewhere should be aware of the implications of these dynamics when considering governance and conservation strategies that rely upon long-term collaboration with cooperatives.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":"270 ","pages":"Article 107858"},"PeriodicalIF":5.4,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144780479","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}

{"title":"Dynamics of coastal wetlands and their impacts on migratory bird habitats in China-Southeast Asia-South Asia","authors":"Peng Tian ,&nbsp;Fengqi Zhang ,&nbsp;Haitao Zhang ,&nbsp;Lijia Wang ,&nbsp;Han Zeng ,&nbsp;Yongchao Liu ,&nbsp;Jialin Li","doi":"10.1016/j.ocecoaman.2025.107883","DOIUrl":"10.1016/j.ocecoaman.2025.107883","url":null,"abstract":"<div><div>Coastal wetlands are vital for sustaining migratory bird populations, providing essential stopover and wintering (or breeding) habitats. However, the interactions between coastal wetland and migratory bird habitats remain understudied. Utilizing a long-term global wetland dataset, this study examines the spatiotemporal variations of coastal wetlands across the China–Southeast Asia–South Asia (CSESA) region and their impacts on migratory bird habitats. We identify a net gain of coastal wetlands in the studied area, which is dominated by mangroves, permanent water bodies, and tidal flats, from 2000 to 2022. However, gain and loss of coastal wetlands exhibits heterogeneity across regions, with concentrated occurrences in coastal Jiangsu and Bohai Bay in China, Borneo and Sumatra in Indonesia, the Ganges Delta, and the tidal estuary along the India-Pakistan border. Considering different wetland types, swamps, marshes, and salt marshes expanded throughout the study period, whereas tidal flats, flooded flats, and mangroves suffered substantial losses, with tidal flat losses surpassing gains 1.46 times. Non-breeding season and resident habitats are most significantly affected, particularly for Chlidonias leucopterus, Tringa nebularia, and Charadrius dubius. Passage and breeding season habitats are also influenced by net loss of coastal wetlands. Although over 70 % of the affected habitats belong to Least Concern species, significant impacts are also observed in those of Near Threatened, Vulnerable, and Endangered species. These findings highlight the ecological consequences of coastal wetland dynamics, providing a scientific basis for regional strategies of wetland conservation and habitat protection.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":"270 ","pages":"Article 107883"},"PeriodicalIF":5.4,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144764139","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}

{"title":"Investigation on forecast of offshore wind power generation hybrid attention mechanism and bi-directional long short-term memory based on deep learning","authors":"Yichi Zhang ,&nbsp;Yuxin Ma ,&nbsp;Hui Fang ,&nbsp;Hongqing Wang","doi":"10.1016/j.ocecoaman.2025.107884","DOIUrl":"10.1016/j.ocecoaman.2025.107884","url":null,"abstract":"<div><div>Offshore wind energy plays a pivotal role in the global transition to renewable energy, offering vast potential for sustainable and large-scale power generation. Accurate forecasting of wind power is critical for efficient grid integration, resource optimization, and operational planning. This study introduces a novel hybrid model, CNN-BiLSTM-Attention, specifically designed to improve the precision of offshore wind power forecasting. The model synergistically combines convolutional neural networks (CNN) for capturing spatial and local features, bidirectional long short-term memory (BiLSTM) networks for modeling bidirectional temporal dependencies, and an enhanced Attention mechanism with a dynamic offset term (<em>δ</em>_<em>t</em>), which dynamically adjusts attention weights to enable real-time and task-specific feature prioritization. The model is trained and tested using 5920 sets of high-resolution observational data collected from an offshore wind farm located in Fujian Province in the East China Sea, with a rated installed capacity of 280 MW. Comparative analyses against baseline models—including LSTM, BiLSTM, CNN-LSTM, and CNN-BiLSTM—demonstrate that the proposed model reduces RMSE by 13.53 %, increases R² by 8.00 %, lowers MAE by 23.97 %, and decreases MAPE by 28.66 % compared to the CNN-BiLSTM best-performing baseline. The model captures both short-term fluctuations and long-term trends under complex offshore conditions, including wind fluctuations, temperature gradients, atmospheric pressure variability, enhancing forecasting adaptability across multiple time scales. These findings underscore the robustness and accuracy of combining advanced deep learning techniques with enhanced Attention mechanisms for offshore wind power forecasting, providing a powerful tool for facilitating renewable energy integration and sustainable grid management.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":"270 ","pages":"Article 107884"},"PeriodicalIF":5.4,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144764138","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}

{"title":"Synergistic effects of elevation loss and environmental extremes trigger salt marsh die-off in the Yangtze Estuary","authors":"Yang Hu ,&nbsp;Lv Gong ,&nbsp;Yuanhao Song ,&nbsp;Tianyou Li ,&nbsp;Wenzhen Zhao ,&nbsp;Xianye Wang ,&nbsp;Shubo Fang ,&nbsp;Xiuzhen Li","doi":"10.1016/j.ocecoaman.2025.107882","DOIUrl":"10.1016/j.ocecoaman.2025.107882","url":null,"abstract":"<div><div>Complex extreme events increasingly threaten coastal ecosystems, yet quantitative understanding of critical thresholds remains limited. Using a five-year dataset (2019–2023) that captured an unprecedented vegetation die-off in the Yangtze Estuary, we quantitatively derive ecological thresholds through GAM analysis. Our results establish critical thresholds of approximately 34.1 °C for temperature and 19.77 PSU for salinity; vegetation die-off arises when both thresholds are exceeded simultaneously. River discharge emerges as a critical regulatory variable that determines vegetation sensitivity to temperature-salinity extremes, with a strong negative correlation (<em>r</em> = -0.77, <em>p</em> = 0.014) between discharge and high salinity events. Low discharge conditions (&lt;800 × 10⁸ m³/month) increase high salinity exposure seven-fold compared to high discharge periods. Our analysis reveals that the interaction between press (elevation loss) and pulse (environmental extremes) disturbances contributes 47.5 % of vegetation response variance, far exceeding their individual effects. These results illuminate how “press” disturbances (elevation loss from reduced sediment) increase susceptibility to “pulse” events (extreme temperature, salinity, and reduced discharge). The identified thresholds provide quantitative targets for early warning systems, suggesting dual management approaches targeting both press and pulse disturbances. These findings offer a transferable framework for predicting ecological transitions in river-dominated estuaries worldwide, enhancing coastal wetland management under intensifying climate extremes.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":"270 ","pages":"Article 107882"},"PeriodicalIF":5.4,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144750296","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}

{"title":"Prediction strategy and full-scale validation of ship main engine energy consumption considering the influence of ocean currents","authors":"Ke Yang ,&nbsp;Changxuan Mu ,&nbsp;Limin Huang ,&nbsp;Zhen Yang ,&nbsp;Guihua Xia","doi":"10.1016/j.ocecoaman.2025.107879","DOIUrl":"10.1016/j.ocecoaman.2025.107879","url":null,"abstract":"<div><div>Accurate prediction of ship main engine power and fuel consumption during voyages is fundamental for ship energy efficiency management and optimization. Ocean currents, a critical environmental factor affecting ship navigation performance, have been inadequately addressed in existing studies on ship main engine energy consumption prediction. This paper proposes a novel strategy for predicting ship main engine energy consumption that explicitly accounts for ocean current influence. By conducting full-scale sea trials, the influence of currents on energy consumption is analyzed through their dual influence on navigation resistance and propeller propulsion efficiency. The methodology employs computational fluid dynamics (CFD), empirical formulas from the International Towing Tank Conference (ITTC), and the semi-empirical numerical navigation model (SNNM) to calculate calm-water resistance, air and wind resistance, and wave-added resistance, respectively. Additional resistance induced by currents is quantified based on discrepancies between ship's speed through water (STW) and speed over ground (SOG). Subsequently, main engine power and fuel consumption are determined by integrating propeller propulsion efficiency and power transmission losses within the propulsion system, with particular attention to current-induced variations in propeller advance speed. To validate the strategy, full-scale sea trials were conducted with the training ship Yukun in the Qingdao-Dalian coastal area of China under stable engine power conditions, supplemented by open-source regional marine environmental data. Comparative analyses demonstrate that the proposed strategy—considering both current-induced resistance and propeller efficiency modifications—significantly reduces prediction errors compared to approaches neglecting currents or addressing only partial current effects. These results underscore the critical importance of incorporating current-driven resistance and propulsion efficiency changes for accurate main engine energy consumption prediction.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":"270 ","pages":"Article 107879"},"PeriodicalIF":5.4,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144738910","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}