PMAR: A Lagrangian approach to the modelling of anthropogenic pressures for marine management

IF 5.2 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Environmental Modelling & Software Pub Date : 2026-02-01 Epub Date: 2025-12-05 DOI:10.1016/j.envsoft.2025.106822
Sofia Bosi , Alessandra Raffaetà , Marta Simeoni , Nikola Bobchev , Dimitar Berov , Andrea Barbanti , Stefano Menegon
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引用次数: 0

Abstract

PMAR (Pressure models for MARine activities) is a modelling framework and open-source Python-based software designed to assess anthropogenic pressures for marine management. PMAR uses Lagrangian trajectories calculated from ocean models to simulate pressure dispersion. An explicit link between pressures and their sources is established through a weight-based mechanism, which allows to rapidly explore different pressure source scenarios. Here, PMAR is adopted to investigate the distribution of surface macroplastics in the Black Sea under two scenarios, yielding results consistent with previous modelling studies and observations. Over 50% of the macroplastics in each Black Sea country after a yearly run came from elsewhere, stressing the importance of cross-boundary cooperation. Compared to other pressure modelling frameworks, PMAR emerges as a balanced compromise between computational efficiency and predictive accuracy. Future work will focus on making PMAR accessible to decision-makers and aligning it with requirements of Digital Twin of the Ocean applications.

Abstract Image

海洋管理中人为压力建模的拉格朗日方法
PMAR(海洋活动压力模型)是一个建模框架和基于python的开源软件,旨在评估海洋管理的人为压力。PMAR使用从海洋模型计算出的拉格朗日轨迹来模拟压力弥散。通过基于权重的机制,在压力和压力源之间建立了明确的联系,从而可以快速探索不同的压力源场景。在这里,采用PMAR研究了黑海表面宏观塑料在两种情景下的分布,得出的结果与先前的建模研究和观测结果一致。经过一年的运行,每个黑海国家超过50%的宏观塑料来自其他地方,强调了跨境合作的重要性。与其他压力建模框架相比,PMAR在计算效率和预测精度之间取得了平衡。未来的工作将侧重于使决策者能够访问PMAR,并使其与海洋数字孪生应用的要求保持一致。
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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