基于机器学习的基于遥感和AIS数据的海雾对船舶近险碰撞的时空影响分析

IF 2.8 2区 生物学 Q1 MARINE & FRESHWATER BIOLOGY Frontiers in Marine Science Pub Date : 2025-01-21 DOI:10.3389/fmars.2024.1536363
Dan Liu, Ling Ke, Zhe Zeng, Shuo Zhang, Shanwei Liu
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引用次数: 0

摘要

海雾是严重威胁海上运输安全的海洋环境灾害。它是造成船舶碰撞的主要环境因素。Himawari-8卫星的遥感能力有效地弥补了传统气象站海雾探测数据的时空差距。因此,研究海雾对船舶碰撞的影响具有可行性和重要意义。为了研究海雾对船舶近距离碰撞的时空影响,本文提出了一个通用框架,利用机器学习模型分析卫星大尺度海雾与船舶冲突排序算子自动识别系统检测到的近距离碰撞之间的时空相关性。首先,选取himawai -8卫星的海雾敏感波段,结合归一化差雪指数(NDSI)作为特征,采用支持向量机模型进行海雾检测;其次,建立了地理加权回归模型,研究了海雾与近撞相关系数的空间变化规律。第三,对月度时间序列数据进行分析,考察年内的季节动态和波动。并以渤海为例进行了实例分析。结果表明,在船舶密度较大的港区(如唐山港和天津港),海雾对近撞事故的影响显著,局部回归系数大于0.4。而在渤海中部,由于水域开阔,其影响不那么严重。在时间上,海雾对近撞的贡献在秋季和冬季更为显著,而在夏季最低。这项研究揭示了来自卫星遥感数据的海雾的空间和时间模式如何导致险些相撞的风险,这可能有助于导航决策,以减少船舶相撞的风险。
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Machine learning-based analysis of sea fog’s spatial and temporal impact on near-miss ship collisions using remote sensing and AIS data
Sea fog is a severe marine environmental disaster that significantly threatens the safety of maritime transportation. It is a major environmental factor contributing to ship collisions. The Himawari-8 satellite’s remote sensing capabilities effectively bridge the spatial and temporal gaps in data from traditional meteorological stations for sea fog detection. Therefore, the study of the influence of sea fog on ship collisions becomes feasible and is highly significant. To investigate the spatial and temporal effects of sea fog on vessel near-miss collisions, this paper proposes a general-purpose framework for analyzing the spatial and temporal correlations between satellite-derived large-scale sea fog using a machine learning model and the near-miss collisions detected by the automatic identification system through the Vessel Conflict Ranking Operator. First, sea fog-sensitive bands from the Himawari-8 satellite, combined with the Normalized Difference Snow Index (NDSI), are chosen as features, and an SVM model is employed for sea fog detection. Second, the geographically weighted regression model investigates spatial variations in the correlation between sea fog and near-miss collisions. Third, we perform the analysis for monthly time series data to investigate the within-year seasonal dynamics and fluctuations. The proposed framework is implemented in a case study using the Bohai Sea as an example. It shows that in large harbor areas with high ship density (such as Tangshan Port and Tianjin Port), sea fog contributes significantly to near-miss collisions, with local regression coefficients greater than 0.4. While its impact is less severe in the central Bohai Sea due to the open waters. Temporally, the contribution of sea fog to near-miss collisions is more pronounced in fall and winter, while it is lowest in summer. This study sheds light on how the spatial and temporal patterns of sea fog, derived from satellite remote sensing data, contribute to the risk of near-miss collisions, which may help in navigational decisions to reduce the risk of ship collisions.
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来源期刊
Frontiers in Marine Science
Frontiers in Marine Science Agricultural and Biological Sciences-Aquatic Science
CiteScore
5.10
自引率
16.20%
发文量
2443
审稿时长
14 weeks
期刊介绍: Frontiers in Marine Science publishes rigorously peer-reviewed research that advances our understanding of all aspects of the environment, biology, ecosystem functioning and human interactions with the oceans. Field Chief Editor Carlos M. Duarte at King Abdullah University of Science and Technology Thuwal is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, policy makers and the public worldwide. With the human population predicted to reach 9 billion people by 2050, it is clear that traditional land resources will not suffice to meet the demand for food or energy, required to support high-quality livelihoods. As a result, the oceans are emerging as a source of untapped assets, with new innovative industries, such as aquaculture, marine biotechnology, marine energy and deep-sea mining growing rapidly under a new era characterized by rapid growth of a blue, ocean-based economy. The sustainability of the blue economy is closely dependent on our knowledge about how to mitigate the impacts of the multiple pressures on the ocean ecosystem associated with the increased scale and diversification of industry operations in the ocean and global human pressures on the environment. Therefore, Frontiers in Marine Science particularly welcomes the communication of research outcomes addressing ocean-based solutions for the emerging challenges, including improved forecasting and observational capacities, understanding biodiversity and ecosystem problems, locally and globally, effective management strategies to maintain ocean health, and an improved capacity to sustainably derive resources from the oceans.
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