Ocean & Coastal Management最新文献

{"title":"The state of marine debris and microplastic research in India: Bridging knowledge gaps for robust marine litter policy","authors":"","doi":"10.1016/j.ocecoaman.2024.107418","DOIUrl":"10.1016/j.ocecoaman.2024.107418","url":null,"abstract":"<div><div>The escalating global concern surrounding the pervasive issue of marine debris and microplastic pollution in marine environments has been well reflected in India, with marine plastics representing the most frequent persistent materials abundant in the ecosystems and biota. This citation analysis attempted to identify the most frequently cited studies, seminal works, sources, distribution, status and concentration of marine debris and microplastics in the Indian coastal ecosystem and the status of the Clean-Coast Index (CCI) based on the 176 peer-revied papers in Scopus (2013–2023) on marine debris/microplastics. This review further provides an analysis of the assessment of microplastics (MPs) in the marine ecosystem of India, including sources, sampling methods, isolation, characterization, identification, abundance and impacts of microplastics in aquatic life, and the marine litter policy gaps. Reports from the east coast of India are higher in number compared to the West coast during the period, and CCI results indicate that the east coast of India is more polluted than the west coast (extremely dirty &gt; moderate &gt; dirty &gt; clean). The knowledge gap areas identified include the ecological impacts of plastics in the marine environment, the lack of studies on emerging areas such as ‘plastisphere’, and the impacts of marine debris and its chemical contamination on marine biodiversity and chemical contamination. In this evidence-based synthesis of knowledge, we invigorate the discussion on a policy framework for managing marine debris in Indian coastal waters, following global models and commitment to mitigate the impacts of marine litter and microplastics, upstream and downstream management interventions, including promotion of a circular plastic economy and clean production technologies that foster a sustainable coexistence between the developmental needs of worlds' one of the populous country and emerging economy and greening the blue oceans around it.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142594120","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":"Regionalized ensemble estimation of wave periods for assessing wave energy resources across Canada. Part II: Wave-period and wave-energy analyses","authors":"","doi":"10.1016/j.ocecoaman.2024.107458","DOIUrl":"10.1016/j.ocecoaman.2024.107458","url":null,"abstract":"<div><div>The cornerstone for harnessing and utilizing wave energy resources lies in the precise and thorough estimation and assessment of wave energy fluxes through advanced modeling of wave periods. This study implements the developed macroscale regionalized ensemble wave-period modeling (MREWPM) method to accomplish the initial integrated estimation and analysis of wave periods and wave energy fluxes across Canada, complemented by advanced estimations of wave heights and wind speeds. The results indicate that Canadian wave periods lengthen in shallow, low-backscatter, southern, remote, or eastern waters, and exhibit temporal variability in breezy, low-backscatter, southern, remote, or eastern regions. The trend of wave periods exhibited fluctuations, decreasing before and increasing after the trough (9.06 s in 2004) during cool seasons. Temporal variabilities and trends of wave periods were more fragmented and heterogeneous compared to averages. Canadian wave energy fluxes generally exhibit an increase southward with latitudes. The wave energy typically diminishes from offshore (deep waters) to nearshore areas (shallow waters), with this attenuation being more pronounced in winter months. There is a rough decrease from winter, autumn, and spring to summer months, mirroring the seasonal variations of wave periods. This seasonality tends to be more pronounced in highly energetic regions, such as the Pacific and Atlantic oceans. This study enhances reliability and feasibility of macroscale wave-period and wave-energy estimation and analyses, offering scientific support for wave energy development, wave climatology, and ocean engineering.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142594118","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":"Model-based changes in hydro-sediment dynamics induced by estuarine wetlands","authors":"","doi":"10.1016/j.ocecoaman.2024.107462","DOIUrl":"10.1016/j.ocecoaman.2024.107462","url":null,"abstract":"<div><div>Wetlands not only provide abundant resources for human beings, but also play an important role in ecological balance. Wetlands are abundant in the Yangtze River Estuary (CWYE). Due to the influence of vegetation in wetlands, of which the characteristics such as vegetation density are in spatial change, the hydrodynamics and sediment transport in the CWYE are complex. Therefore, three-dimensional numerical simulations in the CWYE were conducted based on Delft3D to analyze the hydro-sediment dynamics affected by vegetation. The traditional sediment module in Delft3D, which determines sediment initiation through the bottom shear stress calculated by flow velocity, was improved considering the influence of wake turbulence caused by vegetation stem on sediment suspension. Results have shown that vegetation reduced the flow velocity which decreased the turbulence, while the wake turbulence caused by vegetation stem increased it. The sediment suspension in wetlands depended on the relationship between the decrease of turbulence caused by decreasing velocity and the increase of turbulence caused by vegetation wake turbulence. The improved model in this paper can be used for hydro-sediment dynamics simulation in coastal wetlands as well as other vegetated areas.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142594117","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":"Shift of emphasis toward intelligent equipment maintenance in port operations: A critical review of emerging trends and challenges","authors":"","doi":"10.1016/j.ocecoaman.2024.107408","DOIUrl":"10.1016/j.ocecoaman.2024.107408","url":null,"abstract":"<div><div>Due to the deepening levels of port automation and intelligence, the degree of equipment automation and the complexity of maintenance operations have increased substantially. Consequently, the evolution of intelligent technology has led to significant shifts in the types and quantities of issues encountered during the actual operation of equipment compared to historical contexts. The prevailing understanding of equipment maintenance systems might restrict ports' capacity to handle emergencies and exacerbate operational risks. This paper employs bibliometric methods to analyze the current state of cooperation, key focus areas, and emerging trends in port equipment maintenance. Additionally, the study conducts a critical analysis and systematic investigation based on the bibliometric results. The findings indicate that intelligent technology introduces novel methodologies for port equipment maintenance. Nevertheless, multiple challenges remain in applying intelligent technologies, such as data integration, fault tracking, and real-time diagnosis. The paper emphasizes that future research should concentrate on enhancing data fusion capabilities, improving fault management effectiveness, and refining maintenance decision-making processes to elevate the intelligence of port equipment.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578687","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}

{"title":"Quantifying the impact of small boats on Posidonia seagrass meadows: Methods and path for future efficient management of anchoring pressure","authors":"","doi":"10.1016/j.ocecoaman.2024.107454","DOIUrl":"10.1016/j.ocecoaman.2024.107454","url":null,"abstract":"<div><div>Coastal ecosystems are exposed to anthropogenic pressures worldwide. Seagrasses are sensitive to human activities, especially through physical stress. Among them, boats induce many pressures including physical degradation through anchoring. Mapping the anchoring pressure of large boats (≥24 m) can be done with traditional methods but is still challenging for smaller boats. Thus, the impact of large boats on coastal ecosystems is better documented and more efficiently regulated in comparison with small ones.</div><div>Here, we characterize the pressure and the impact of boats anchoring on <em>Posidonia oceanica</em> seagrass beds through the proxy of three landscape indices and compare anchoring surveillance methods.</div><div>We show that small boats also have an impact on <em>P. oceanica</em> when anchoring.</div><div>AIS (Automatic identification System) and low resolution satellite imagery are poorly adapted to detect small boat anchoring.</div><div>High resolution satellite imagery is a very efficient tool suitable even for small boats detection, but is for now limited to targeted surveys due to its high costs.</div><div>We propose an automatic detection/localization tool adapted to multisource imagery and test it successfully on a case study in Corsica (France).</div><div>Overall our study provides key quantified elements for the design of future efficient surveillance and management of anchoring pressure.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142573372","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":"Factors influencing the digital intelligence transformation of offshore wind power enterprise","authors":"","doi":"10.1016/j.ocecoaman.2024.107463","DOIUrl":"10.1016/j.ocecoaman.2024.107463","url":null,"abstract":"<div><div>China's offshore wind power industry is advancing toward a digital transformation, and its development is considered a crucial strategic pillar of China's energy structure transformation. Facing challenges such as high costs, technical difficulties, lack of industry standards, insufficient industrial economies of scale, and even ecological threats, China's offshore wind power industry in the new period urgently requires innovative paths for further development. Driven by policy guidance and market demand, many enterprises have embarked on digital upgrading by introducing digital technology into their business processes, thus achieving a more efficient and intelligent production management mode to enhance industry competitiveness. However, due to the inherent peculiarities of the offshore wind power industry, its implementation of digital technology faces certain technical difficulties and systemic risks. This study presents a case study of Mingyang Smart Energy and related organizations conducted using in-depth interviews, and focuses on the practical circumstances of China's offshore wind power industry undergoing digital transformation. This study also applies the grounded theory to analyze the driving factors and mechanisms of digital transformation and provides an in-depth discussion of the characteristics of different stages of the transformation, including digital technology function leap, management and platform construction, as well as digital operation and value creation. The study results can enrich the theoretical study of digital transformation and provide practical guidance for the offshore wind power industry to achieve intelligent, efficient, and sustainable development.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572845","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":"Regionalized ensemble estimation of wave periods for assessing wave energy resources across Canada. Part I: Improved wave-period modelling methodology","authors":"","doi":"10.1016/j.ocecoaman.2024.107382","DOIUrl":"10.1016/j.ocecoaman.2024.107382","url":null,"abstract":"<div><div>Large-scale estimations of wave periods are desired for wave energy assessment, ocean engineering, and wave climate research. Long-term global wave data from satellite altimeters are routinely applied to the estimations. However, this is challenged by uncertainties in wave-period models (WPMs), inaccuracies in data, and simplifications in modeling. Additionally, there exists a gap in the comprehensive examination of the variational mechanisms governing wave periods or model performances. As an effort to address them, we innovate a macroscale regionalized ensemble wave-period modeling (MREWPM) method by optimizing four wave-period models, driven by enhanced altimeter-based REWS (regionalized ensemble wave simulation) estimates of wave heights and wind speeds, within a regionalization framework in macroscale water environments. Results show that MREWPM driven by REWS dataset outperforms existing methods and performs better at larger scales (e.g., in eliminating local-scale overestimation). WPMs are more accurate over remote, deep, and windy regions in cool seasons under metrics-, scale- and data-dependent variations of performances with driving factors (mainly geographical features). This study serves as a foundational contribution towards the enhancement of wave-period simulations, the advancement of understanding wave-period dynamics, and the scientific evaluation of wave energy at macroscales.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572844","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":"Long-term morphological evolution and restoration of dredged pits under sand mining in a funnel shaped Estuary","authors":"","doi":"10.1016/j.ocecoaman.2024.107461","DOIUrl":"10.1016/j.ocecoaman.2024.107461","url":null,"abstract":"<div><div>Globally, the demand for shipping and construction-grade sand is increasing at a very high rate; many large estuaries are affected by large-scale dredging, which dramatically impacts estuarine hydrodynamics and geomorphology. Lingdingyang Estuary (LE) has been subjected to large-scale sand mining in recent decades with scattered deep mined pits in the middle shoal. Based on a state-of-the-art modeling tool (TELEMAC), the long-term morphologic evolution of the LE in 1998–2015 and 2016–2021 was reproduced to explain dredging-induced bathymetric changes. Then, the influences of massive dredging on geomorphic evolution were mechanistically analyzed. Finally, geomorphic restoration of the sand dredged pits in the Middle Shoal was evaluated using the long-term morphologic model. Large-scale sand mining changed the sedimentation condition of the Middle Shoal from a slight net deposition pattern to a net erosion pattern in 2012–2015. Overall, both channel dredging and sand mining significantly increased erosion in the inner LE (ILE) from 1998 to 2015; sand mining in 2012–2015 contributed 64% for these erosion, whereas channel dredging accounted for 28% in 1998–2012. In contrast, both channel dredging and sand mining increased deposition in the outer LE (OLE) from 1998 to 2015; sand mining in 2012–2015 contributed 44% for these deposition, whereas channel dredging accounted for 55% in 1998–2012. Strengthened tidal forcing, induced by massive dredging in the ILE from 1998 to 2015, was the dominant factor driving sediment entrapment in the ILE (around huge sand pits in the Middle Shoal) during this period. Additionally, channel dredging induced an increase in flow diversion rate in the Western Channel, which led to sediment transport and deposition in the OLE; it also supported sedimentation in the transition zone between the Middle Shoal and Western Channel. Finally, massive sand mining induced variations in geomorphology in the Middle Shoal from 2016 to 2021 that will require ≥50 years to recover under natural conditions; by 2100, the morphologies of these sand dredged pits in the Middle Shoal are not expected to be restored into their morphologies in 2012. The results of this study comprehensively elucidate the responses of long-term estuarine hydrodynamics and morphology to dredging and provide scientific basis for estuarine management.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561307","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":"Framing adaptive capacity of coastal communities: A review of the role of scientific framing in indicator-based adaptive capacity assessments in coastal social-ecological systems","authors":"","doi":"10.1016/j.ocecoaman.2024.107455","DOIUrl":"10.1016/j.ocecoaman.2024.107455","url":null,"abstract":"<div><div>In the current context of climate and anthropogenic change, assessing the adaptive capacity of coastal communities, i.e., their ability to adapt, navigate and/or recover from the impacts of change is key in coastal management and decision-making processes. Framing in adaptive capacity assessments (i.e., what is highlighted) influences how coastal communities’ adaptive capacity is perceived and understood, carrying profound ethical and political implications for governance. The significance of framing within assessments of adaptive capacity has been acknowledged, yet limited research delves into the dynamics of this process, particularly within coastal-social ecological settings. Through a systematic literature review, we address this knowledge gap by exploring how scholarly assessments frame adaptive capacity in social-ecological systems and analyzing their potential implications in coastal adaptation governance. We focus on adaptive capacity assessments using indicators, given their prominence as a frequently employed methodology by policy makers. Our results reveal that assessments are predominately framed under vulnerability frameworks, focusing on how adaptive capacity moderates the impact of climate-related variability using single-level data from individuals or households. Typically, these assessments rely on attributes related to socio-economic factors, access to assets and livelihood diversity to assess present adaptive capacity, with researchers and their paradigms playing a significant role in framing these assessments. We propose that this prevailing perspective may not support coastal communities in meeting the complex challenges they are facing. By providing this comprehensive review on the scientific framing of adaptive capacity assessments in coastal social-ecological systems, we contribute towards advancing frame-reflective adaptive capacity research.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142555666","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}

{"title":"A multi-criteria decision-making model for sustainable selection of coastal protection structures","authors":"","doi":"10.1016/j.ocecoaman.2024.107459","DOIUrl":"10.1016/j.ocecoaman.2024.107459","url":null,"abstract":"<div><div>Although nature-based and hybrid (i.e., a combination of hard and nature-based) solutions provide well-documented benefits to both the environment and people living nearby, they cannot be implemented in all coastal zones. Thus, the selection process of coastal protection structures (CPSs) requires an in-depth and comprehensible assessment with an effective and robust decision-support framework. Existing frameworks in the literature, however, do not focus on the selection of nature-based solutions and environmental and social factors were not considered thoroughly in these frameworks. In this respect, this research aims to develop a decision-support model that guides decision-makers in selecting the most appropriate and sustainable CPSs. The framework was designed in a way that includes a variety of environmental and social factors along with economic and technical aspects. Then, fuzzy AHP and TOPSIS analyses were conducted to determine the relative importance of the selection factors and to select the most appropriate CPS. Factors such as sediment dynamics, geotechnical issues, construction cost, transportation and navigation effects, and technological know-how were among the top-rated factors. TOPSIS analysis results revealed that mangrove forests and artificial reefs were the top two most sustainable CPSs. The proposed framework can minimize the social and environmental impacts of CPSs and expedite the green transition in the coastal environment.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142555654","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}