Ocean & Coastal Management最新文献

The state of marine debris and microplastic research in India: Bridging knowledge gaps for robust marine litter policy 印度海洋废弃物和微塑料研究现状：缩小知识差距，制定强有力的海洋垃圾政策

IF 4.8 2区环境科学与生态学 Q1 OCEANOGRAPHY

Ocean & Coastal Management

Pub Date : 2024-11-06 DOI: 10.1016/j.ocecoaman.2024.107418

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 > moderate > dirty > 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.

全球对海洋环境中普遍存在的海洋废弃物和微塑料污染问题的关注不断升级，这在印度也得到了很好的反映，海洋塑料是生态系统和生物群中最常见的持久性材料。本引文分析试图根据 Scopus 中有关海洋废弃物/微塑料的 176 篇同行引用论文（2013-2023 年），确定印度沿海生态系统中海洋废弃物和微塑料最常引用的研究、开创性著作、来源、分布、现状和浓度，以及清洁海岸指数（CCI）的现状。本综述进一步分析了印度海洋生态系统中微塑料 (MPs) 的评估情况，包括微塑料在水生生物中的来源、取样方法、分离、表征、识别、丰度和影响，以及海洋垃圾政策差距。在此期间，印度东海岸的报告数量高于西海岸，CCI 结果表明印度东海岸的污染程度高于西海岸（极度污染；中度污染；污染；清洁）。已确定的知识空白领域包括海洋环境中塑料对生态的影响、缺乏对 "塑料球 "等新兴领域的研究，以及海洋废弃物及其化学污染对海洋生物多样性和化学污染的影响。在这份以证据为基础的知识综述中，我们鼓励讨论管理印度沿海水域海洋废弃物的政策框架，遵循全球模式，致力于减轻海洋垃圾和微塑料的影响，采取上游和下游管理干预措施，包括推广循环塑料经济和清洁生产技术，促进世界人口大国和新兴经济体的发展需求与绿化周围蓝色海洋之间的可持续共存。

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引用次数: 0

Regionalized ensemble estimation of wave periods for assessing wave energy resources across Canada. Part II: Wave-period and wave-energy analyses 用于评估加拿大各地波浪能资源的波浪周期区域化集合估算。第二部分：波浪周期和波浪能分析

IF 4.8 2区环境科学与生态学 Q1 OCEANOGRAPHY

Ocean & Coastal Management

Pub Date : 2024-11-06 DOI: 10.1016/j.ocecoaman.2024.107458

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.

利用波浪能资源的基石在于通过先进的波浪周期建模，对波浪能通量进行精确、全面的估算和评估。本研究采用已开发的宏观区域化集合波浪周期建模（MREWPM）方法，对加拿大各地的波浪周期和波浪能通量进行了初步综合估算和分析，并对波高和风速进行了高级估算。结果表明，加拿大的波浪周期在浅水、低后向散射、南部、偏远或东部水域延长，在微风、低后向散射、南部、偏远或东部地区表现出时间上的可变性。波浪周期呈现波动趋势，在凉爽季节，波浪周期在波谷（2004 年为 9.06 秒）前减小，在波谷后增大。与平均值相比，波浪周期的时变和趋势更加分散和不均匀。加拿大的波浪能通量一般表现为随纬度南移而增加。波浪能量通常从近海（深水）向近岸区域（浅水）衰减，这种衰减在冬季更为明显。从冬季、秋季和春季到夏季，波浪能量大致减弱，这反映了波浪周期的季节性变化。在高能量区域，如太平洋和大西洋，这种季节性往往更为明显。这项研究提高了宏观波浪周期和波浪能量估算与分析的可靠性和可行性，为波浪能开发、波浪气候学和海洋工程提供了科学支持。

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引用次数: 0

Model-based changes in hydro-sediment dynamics induced by estuarine wetlands 基于模型的河口湿地引起的水沙动态变化

IF 4.8 2区环境科学与生态学 Q1 OCEANOGRAPHY

Ocean & Coastal Management

Pub Date : 2024-11-05 DOI: 10.1016/j.ocecoaman.2024.107462

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.

湿地不仅为人类提供了丰富的资源，而且在生态平衡中发挥着重要作用。长江口湿地资源丰富。由于湿地植被的影响，其植被密度等特征在空间上不断变化，因此长江口的水动力和泥沙输运十分复杂。因此，基于 Delft3D 对 CWYE 进行了三维数值模拟，以分析受植被影响的水文泥沙动力学。Delft3D 中的传统沉积模块通过流速计算出的底部剪应力来确定沉积物的起始，考虑到植被茎干引起的唤醒湍流对沉积物悬浮的影响，对该模块进行了改进。结果表明，植被降低了流速，从而减少了湍流，而植被茎干引起的唤醒湍流则增加了湍流。湿地中的泥沙悬浮取决于流速减小引起的湍流减小与植被唤醒湍流引起的湍流增大之间的关系。本文改进的模型可用于滨海湿地和其他植被区的水沙动力学模拟。

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引用次数: 0

Shift of emphasis toward intelligent equipment maintenance in port operations: A critical review of emerging trends and challenges 港口运营的重点转向智能设备维护：对新兴趋势和挑战的批判性审查

IF 4.8 2区环境科学与生态学 Q1 OCEANOGRAPHY

Ocean & Coastal Management

Pub Date : 2024-11-04 DOI: 10.1016/j.ocecoaman.2024.107408

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.

随着港口自动化和智能化水平的不断提高，设备自动化程度和维护操作的复杂性也大幅增加。因此，与历史相比，智能技术的发展导致设备实际运行过程中遇到的问题类型和数量发生了重大变化。对设备维护系统的普遍认识可能会限制港口处理突发事件的能力，并加剧运营风险。本文采用文献计量学方法分析了港口设备维护的合作现状、重点领域和新兴趋势。此外，研究还根据文献计量学结果进行了批判性分析和系统性调查。研究结果表明，智能技术为港口设备维护引入了新的方法。然而，在应用智能技术的过程中仍面临多重挑战，如数据整合、故障跟踪和实时诊断。本文强调，未来的研究应集中在增强数据融合能力、提高故障管理效率和完善维护决策流程等方面，以提升港口设备的智能化水平。

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引用次数: 0

Quantifying the impact of small boats on Posidonia seagrass meadows: Methods and path for future efficient management of anchoring pressure 量化小船对 Posidonia 海草草甸的影响：未来有效管理锚泊压力的方法和路径

IF 4.8 2区环境科学与生态学 Q1 OCEANOGRAPHY

Ocean & Coastal Management

Pub Date : 2024-11-02 DOI: 10.1016/j.ocecoaman.2024.107454

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.

Here, we characterize the pressure and the impact of boats anchoring on Posidonia oceanica seagrass beds through the proxy of three landscape indices and compare anchoring surveillance methods.

We show that small boats also have an impact on P. oceanica when anchoring.

AIS (Automatic identification System) and low resolution satellite imagery are poorly adapted to detect small boat anchoring.

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.

We propose an automatic detection/localization tool adapted to multisource imagery and test it successfully on a case study in Corsica (France).

Overall our study provides key quantified elements for the design of future efficient surveillance and management of anchoring pressure.

全世界的沿海生态系统都面临着人为压力。海草对人类活动非常敏感，尤其是物理压力。其中，船只会造成许多压力，包括通过抛锚造成的物理退化。绘制大型船只（≥ 24 米）的锚泊压力图可以通过传统方法完成，但对于小型船只来说仍然具有挑战性。因此，与小型船只相比，大型船只对沿海生态系统的影响得到了更好的记录和更有效的监管。在这里，我们通过三种景观指数来描述船只锚泊对 Posidonia oceanica 海草床的压力和影响，并比较了锚泊监测方法。高分辨率卫星图像是一种非常有效的工具，甚至适用于小船检测，但由于其成本较高，目前仅限于有针对性的调查。我们提出了一种适用于多源图像的自动检测/定位工具，并在法国科西嘉岛的一个案例研究中成功进行了测试。

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引用次数: 0

Factors influencing the digital intelligence transformation of offshore wind power enterprise 影响海上风电企业数字化智能转型的因素

IF 4.8 2区环境科学与生态学 Q1 OCEANOGRAPHY

Ocean & Coastal Management

Pub Date : 2024-11-02 DOI: 10.1016/j.ocecoaman.2024.107463

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.

中国海上风电产业正在向数字化转型迈进，其发展被视为中国能源结构转型的重要战略支柱。面对成本高、技术难度大、行业标准缺失、产业规模效益不足，甚至生态环境威胁等挑战，新时期中国海上风电产业的进一步发展亟需创新路径。在政策引导和市场需求的推动下，许多企业开始进行数字化升级，在业务流程中引入数字化技术，从而实现更加高效、智能的生产管理模式，提升产业竞争力。然而，由于海上风电行业固有的特殊性，其数字化技术的实施面临着一定的技术难度和系统风险。本研究以明阳智慧能源及相关机构为案例，采用深度访谈的方式，重点研究中国海上风电行业数字化转型的实际情况。本研究还运用基础理论分析了数字化转型的驱动因素和机理，深入探讨了数字化转型不同阶段的特点，包括数字化技术功能跃升、管理与平台建设、数字化运营与价值创造等。研究成果可以丰富数字化转型的理论研究，为海上风电产业实现智能、高效、可持续发展提供实践指导。

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引用次数: 0

Regionalized ensemble estimation of wave periods for assessing wave energy resources across Canada. Part I: Improved wave-period modelling methodology 用于评估加拿大各地波浪能资源的区域化波浪周期集合估算。第一部分：改进的波浪周期建模方法

IF 4.8 2区环境科学与生态学 Q1 OCEANOGRAPHY

Ocean & Coastal Management

Pub Date : 2024-11-01 DOI: 10.1016/j.ocecoaman.2024.107382

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.

波浪能评估、海洋工程和波浪气候研究需要大规模的波浪周期估算。卫星测高仪提供的长期全球波浪数据通常用于估算。然而，波浪周期模型（WPMs）的不确定性、数据的不准确性以及建模的简化都对这一工作提出了挑战。此外，对波浪周期或模型性能的变异机制的全面研究也存在空白。为了解决这些问题，我们创新了一种宏观区域化集合波浪周期建模（MREWPM）方法，在宏观水域环境的区域化框架内，以基于高度计的增强型 REWS（区域化集合波浪模拟）波高和风速估算为驱动，优化了四个波浪周期模型。结果表明，由 REWS 数据集驱动的 MREWPM 优于现有方法，在更大尺度上表现更好（例如，在消除局部尺度高估方面）。在度量、尺度和数据随驱动因素（主要是地理特征）而变化的情况下，WPM 在冷季的偏远、纵深和多风地区更为准确。这项研究为加强波浪周期模拟、促进对波浪周期动力学的理解以及在宏观尺度上对波浪能进行科学评估做出了基础性贡献。

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引用次数: 0

Long-term morphological evolution and restoration of dredged pits under sand mining in a funnel shaped Estuary 漏斗状河口采砂下疏浚坑的长期形态演变与修复

IF 4.8 2区环境科学与生态学 Q1 OCEANOGRAPHY

Ocean & Coastal Management

Pub Date : 2024-10-31 DOI: 10.1016/j.ocecoaman.2024.107461

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.

在全球范围内，航运和建筑用砂的需求量正以极高的速度增长；许多大型河口都受到了大规模挖沙活动的影响，这对河口的水动力和地貌造成了极大的冲击。伶仃洋河口（LE）近几十年来一直受到大规模采砂的影响，中间滩涂有零星的深采坑。基于最先进的建模工具（TELEMAC），再现了伶仃洋河口 1998-2015 年和 2016-2021 年的长期形态演变，以解释疏浚引起的水深变化。然后，从机理上分析了大规模疏浚对地貌演变的影响。最后，利用长期形态模型评估了中浅滩挖沙坑的地貌恢复情况。在 2012-2015 年期间，大规模采砂改变了中浅滩的沉积状况，从轻微的净沉积模式变为净侵蚀模式。总体而言，从 1998 年到 2015 年，航道疏浚和采砂都显著增加了内 LE（ILE）的侵蚀；2012-2015 年采砂造成了 64% 的侵蚀，而 1998-2012 年航道疏浚造成了 28% 的侵蚀。与此相反，1998 年至 2015 年期间，航道疏浚和采砂都增加了外侧河谷（OLE）的沉积；2012 年至 2015 年期间的采砂占这些沉积的 44%，而 1998 年至 2012 年期间的航道疏浚占 55%。1998 年至 2015 年期间在 ILE 进行的大规模疏浚导致潮汐作用加强，是这一时期造成 ILE（中浅滩巨大沙坑周围）沉积物夹带的主要因素。此外，航道疏浚导致西航道的水流分流率增加，从而导致沉积物在 OLE 中迁移和沉积；它还支持了中浅滩和西航道之间过渡带的沉积作用。最后，从 2016 年到 2021 年，大规模采砂引起了中浅滩地貌的变化，需要≥50 年的时间才能在自然条件下恢复；到 2100 年，中浅滩这些挖沙坑的形态预计无法恢复到 2012 年的形态。该研究结果全面阐明了河口水动力和形态对疏浚的长期响应，为河口管理提供了科学依据。

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引用次数: 0

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 确定沿海社区适应能力的框架：审查科学框架在沿海社会生态系统基于指标的适应能力评估中的作用

IF 4.8 2区环境科学与生态学 Q1 OCEANOGRAPHY

Ocean & Coastal Management

Pub Date : 2024-10-30 DOI: 10.1016/j.ocecoaman.2024.107455

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.

在当前气候和人为变化的背景下，评估沿海社区的适应能力，即其适应、驾驭和/ 或从变化的影响中恢复的能力，是沿海管理和决策过程的关键。适应能力评估的框架（即强调什么）会影响人们对沿岸社区适应能力的看法和理解，对治理工作产生深远的伦理和政治影响。框架在适应能力评估中的重要性已得到公认，但对这一过程的动态研究却很有限，尤其是在沿海社会生态环境中。通过系统的文献综述，我们探讨了学术评估如何构建社会生态系统的适应能力框架，并分析了其对沿岸适应治理的潜在影响，从而填补了这一知识空白。鉴于指标是决策者经常使用的方法，我们重点关注使用指标进行的适应能力评估。我们的研究结果表明，评估主要是在脆弱性框架下进行的，重点关注适应能力如何利用来自个人或家庭的单层次数据来缓和气候相关变异性的影响。通常情况下，这些评估依赖于与社会经济因素、资产获取途径和生计多样性相关的属性来评估当前的适应能力，研究人员及其范式在这些评估的框架中发挥着重要作用。我们认为，这种主流观点可能无法帮助沿海社区应对他们所面临的复杂挑战。通过对沿海社会生态系统适应能力评估的科学框架进行全面审查，我们为推动框架反思型适应能力研究做出了贡献。

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引用次数: 0

A multi-criteria decision-making model for sustainable selection of coastal protection structures 可持续选择海岸保护结构的多标准决策模型

IF 4.8 2区环境科学与生态学 Q1 OCEANOGRAPHY

Ocean & Coastal Management

Pub Date : 2024-10-30 DOI: 10.1016/j.ocecoaman.2024.107459

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.

虽然以自然为基础的解决方案和混合解决方案（即硬性和自然相结合的解决方案）为环境和附近居民带来了有据可查的好处，但它们不可能在所有沿岸地区实施。因此，在选择海岸保护结构（CPS）的过程中，需要通过有效和强大的决策支持框架进行深入和全面的评估。然而，文献中的现有框架并不关注基于自然的解决方案的选择，而且这些框架也没有全面考虑环境和社会因素。为此，本研究旨在开发一个决策支持模型，指导决策者选择最合适、最可持续的 CPS。该框架的设计方式包括各种环境和社会因素以及经济和技术方面。然后，进行模糊 AHP 和 TOPSIS 分析，以确定选择因素的相对重要性，并选择最合适的 CPS。沉积物动力学、岩土工程问题、建筑成本、运输和航行影响以及技术诀窍等因素被列为最重要的因素。TOPSIS 分析结果显示，红树林和人工鱼礁是最具可持续发展性的 CPS 的前两名。建议的框架可以最大限度地减少 CPS 对社会和环境的影响，加快沿海环境的绿色转型。

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