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Brief communication 'Evaluating European Coastal Evolution using Bayesian Networks'

机译:简短交流“使用贝叶斯网络评估欧洲沿海演变”

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摘要

The coastal zone is a complex environment in which a variety of forcing factors interact causing shoreline evolution. Coastal managers seek to predict coastal evolution and to identify regions vulnerable to erosion. Here, a Bayesian network is developed to identify the primary factors influencing decadal-scale shoreline evolution of European coasts and to reproduce the observed evolution trends. Sensitivity tests demonstrate the robustness of the model, showing higher predictive capabilities for stable coasts than for eroding coasts. Finally, the study highlights the need to update and expand large-scale coastal data sets, particularly by including local scale processes and anthropogenic impacts.
机译:沿海地区是一个复杂的环境,其中各种强迫因素相互作用,导致海岸线演变。沿海管理者试图预测沿海的演变并确定容易遭受侵蚀的地区。在这里,建立了贝叶斯网络以识别影响欧洲海岸十年尺度海岸线演变的主要因素,并重现观察到的演变趋势。敏感性测试证明了该模型的鲁棒性,与对侵蚀海岸相比,对稳定海岸的预测能力更高。最后,该研究强调需要更新和扩展大规模的沿海数据集,特别是要包括本地规模的过程和人为影响。

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