ShipEcho实时生成全球船舶噪声地图,助力海洋环境保护
ShipEcho -- An Interactive Tool for Global Mapping of Underwater Radiated Noise from Vessels

- 基于社区共享AIS数据与声学传播模型,实现近实时噪声映射
- 覆盖全球海域,提供63~125Hz及20-2000Hz宽带声压级数据
- 免费开源,支持环境评估与政策制定,适合科研与管理机构使用
船舶辐射噪声(V-URN)是影响海洋生态的显著环境压力源。为应对这一问题,亟需开发监测指标、监管框架和面向管理的评估工具。其中,船舶噪声制图具有重要应用潜力,可为环境评估与减缓规划提供时空信息。然而,受被动声学测量空间稀疏性及高成本区域航行数据获取限制,大规模制图仍具挑战。为此,我们推出ShipEcho——一个免费开放的基于Web的地理信息系统(GIS),利用社区型AIS数据实现近实时的全球船舶噪声制图。结合已有的船舶声源级(SL)模型与基于海床地形数据的传播模型,系统生成全球范围内的近实时与累积噪声地图,涵盖标准指标:63~125 Hz一第三方频带及20–2000 Hz宽带声压级与声暴露级。本文详述系统架构、数据流程、建模方法与关键假设,并通过与实测声学记录对比评估地图精度。最后,通过实际案例展示其在管理评估、决策支持与政策推动中的应用价值。
原文摘要 · Abstract (English)
Underwater radiated noise from vessels (V-URN) is a recognized environmental stressor that negatively impacts marine ecosystems. Significant resources are invested in the development of V-URN monitoring indicators, regulatory frameworks, and management-oriented assessments. One approach with high potential for impact is V-URN mapping, which can provide actionable spatiotemporal information for environmental assessment and mitigation planning. Producing management-scale maps remains challenging as passive acoustic measurements are spatially sparse and many operational systems depend on specialist workflows and costly access to wide-area vessel activity data. To address these constraints, we introduce ShipEcho, a freely accessible web-based Geographic Information System (GIS) that provides near-real-time V-URN mapping using vessel data acquired through a community-based AIS exchange. Using established vessel SL models and propagation modeling informed by bathymetric data, ShipEcho produces near-real-time and cumulative noise maps across regions worldwide. These include sound pressure levels and sound exposure levels using standard indicators, including the 63~Hz and 125~Hz one-third octave bands and a 20--2000~Hz broadband level. We describe the system architecture, data pipeline, modeling workflow, and key assumptions, and evaluate map accuracy through comparison with acoustic recordings. We then demonstrate how ShipEcho can support management-level assessment, decision-making, and policy initiatives through practical use cases.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。