arxiv: 2605.08194 · v1 · submitted 2026-05-05 · 💻 cs.SD · eess.AS· eess.SP

Recognition: 2 theorem links

· Lean Theorem

ShipEcho -- An Interactive Tool for Global Mapping of Underwater Radiated Noise from Vessels

{\DJ}ula Na{\dj}, Mark Shipton, Roee Diamant, Valentino Denona

Pith reviewed 2026-05-12 00:45 UTC · model grok-4.3

classification 💻 cs.SD eess.ASeess.SP

keywords underwater radiated noisevessel noise mappingAIS dataacoustic propagation modelingmarine noise pollutionGIS toolenvironmental assessment

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The pith

ShipEcho generates near-real-time worldwide maps of underwater ship noise by combining public AIS vessel data with standard source models and ocean depth information.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper presents ShipEcho as a free web-based geographic information system that creates near-real-time and cumulative maps of underwater radiated noise from vessels. It draws on community AIS vessel tracking together with established source level models and bathymetry-informed propagation calculations to produce sound pressure and exposure levels in standard frequency bands. The approach removes the need for dense acoustic sensors or expensive proprietary data feeds, making management-scale noise information available to a wider set of users. A reader would care because the resulting maps supply concrete spatiotemporal data that can guide environmental assessments, mitigation choices, and regulatory planning for marine ecosystems stressed by vessel noise. Accuracy is checked by direct comparison of the generated maps against field acoustic recordings.

Core claim

ShipEcho is a freely accessible web-based GIS that produces near-real-time V-URN mapping from community-sourced AIS vessel data. It applies established vessel source level models and propagation modeling informed by bathymetric data to output sound pressure levels and sound exposure levels using the 63 Hz and 125 Hz one-third octave bands plus a 20-2000 Hz broadband indicator. The maps are validated through comparison with acoustic recordings and are shown to support management-level assessment, decision-making, and policy initiatives.

What carries the argument

The ShipEcho web GIS platform, which ingests AIS vessel positions and attributes, applies vessel source level models, and computes sound propagation using bathymetric data to generate and display noise maps in standard acoustic indicators.

If this is right

Global V-URN maps become available without dependence on sparse passive acoustic arrays or costly wide-area data purchases.
Managers obtain actionable spatiotemporal noise information for environmental assessment and mitigation planning.
Cumulative exposure maps support policy initiatives and regulatory frameworks for vessel noise reduction.
Direct comparison with acoustic recordings provides an ongoing check on map reliability across regions.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

The tool could be linked to species-specific sensitivity maps to forecast noise exposure for particular marine populations.
Community AIS contributions open a route for ongoing public updates to noise maps in high-traffic shipping corridors.
Adding vessel speed or seasonal oceanographic layers would allow users to test how changes in traffic patterns alter predicted noise fields.

Load-bearing premise

The selected vessel source level models and the bathymetry-based propagation model remain accurate for the full global variety of vessel types, speeds, and ocean conditions present in the AIS data.

What would settle it

Consistent large mismatches between ShipEcho map values and independent acoustic recordings collected in areas with mixed vessel traffic and complex bathymetry would show that the models fail to generalize.

Figures

Figures reproduced from arXiv: 2605.08194 by {\DJ}ula Na{\dj}, Mark Shipton, Roee Diamant, Valentino Denona.

**Figure 1.** Figure 1: Processing workflow implemented in ShipEcho. AIS-derived vessel attributes are used to estimate SL using selectable models, while environmental inputs support propagation modeling and TL estimation. The resulting SPL and SEL fields are mapped in the selected indicator bands and visualized in the web GIS together with vessel symbols and optional MPA overlays. All modes provide a consistent set of map overla… view at source ↗

**Figure 2.** Figure 2: Common user-interface overlays in ShipEcho (example view of ’Live vessel mode’), including the basemap, vessel symbols, band-selection controls, the V-URN heatmap layer, and layer-selection options. Users select the output band at the bottom of the display (63 Hz, 125 Hz, or 20–2000 Hz broadband). A control panel allows users to choose the vessel SL model (Section 2.2.1) and to toggle layers, including ves… view at source ↗

**Figure 3.** Figure 3: Example of the vessel-information panel displayed when a vessel is selected in [PITH_FULL_IMAGE:figures/full_fig_p008_3.png] view at source ↗

**Figure 4.** Figure 4: AIS receiving station deployed near Haifa Port. [PITH_FULL_IMAGE:figures/full_fig_p015_4.png] view at source ↗

**Figure 5.** Figure 5: Shipping density in the Adriatic Sea, retrieved from the European Marine Observa [PITH_FULL_IMAGE:figures/full_fig_p019_5.png] view at source ↗

**Figure 6.** Figure 6: SEL map generated by ShipEcho for the area surrounding the Jabuka Basin Reef MPA for 1–7 July 2025 in the 20–2000 Hz band. The MPA boundary is indicated by a black dashed polygon. Higher SEL values are concentrated along nearby shipping routes. 17 [PITH_FULL_IMAGE:figures/full_fig_p019_6.png] view at source ↗

**Figure 7.** Figure 7: Daily vessel transits within 20 km of the Jabuka Basin Reef MPA, grouped by vessel [PITH_FULL_IMAGE:figures/full_fig_p020_7.png] view at source ↗

**Figure 8.** Figure 8: Daily vessel speeds within 20 km of the Jabuka Basin Reef MPA, shown by vessel [PITH_FULL_IMAGE:figures/full_fig_p020_8.png] view at source ↗

**Figure 9.** Figure 9: Energetic-mean daily SEL within the Jabuka Basin Reef MPA for 1–7 July 2025 [PITH_FULL_IMAGE:figures/full_fig_p021_9.png] view at source ↗

read the original abstract

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.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Desk Editor's Note private letter to a colleague

ShipEcho is a practical new web GIS tool that stitches public AIS data to existing acoustic models for global near-real-time vessel noise maps, but the validation numbers are not shown in the abstract.

read the letter

The main thing here is a free interactive web tool called ShipEcho that takes community AIS vessel tracks, runs them through standard source level models and bathymetry-informed propagation, and produces near-real-time plus cumulative noise maps worldwide in the usual regulatory bands. The paper also says it checked those maps against real acoustic recordings. That is the contribution in a nutshell. The rest is implementation details and use cases for management. The paper does a solid job describing the data pipeline, system architecture, and modeling workflow so that someone could understand how the maps are generated. Pulling from open AIS sources instead of paid data is a practical choice, and sticking to the 63 Hz, 125 Hz, and broadband indicators makes the output directly relevant to existing policy work. The use-case examples show how the maps could feed into assessments without requiring users to code everything themselves. The soft spot is the accuracy claim. The abstract states that map accuracy was evaluated by comparison with recordings, yet it supplies no error metrics, sample details, or exclusion rules. Without those, it is difficult to judge how well the maps perform across vessel types and ocean conditions. The work does not introduce new models or derivations, so any weaknesses in the underlying published SL or propagation codes carry straight through, and the paper treats that as an assumption rather than something tested at scale. This paper is for marine acoustics practitioners, environmental managers, and policy people who need quick access to noise maps rather than for readers hunting new theoretical results. Someone looking for a ready platform or examples of applied mapping would get value from it. The integration is clear enough and the tool is public, so it deserves a serious referee who can examine the full validation data and any limitations in the methods section. I would send it to peer review. The practical delivery is the point, and referees can sort out whether the accuracy checks are sufficient for the claimed uses.

Referee Report

1 major / 1 minor

Summary. The manuscript introduces ShipEcho, a freely accessible web-based GIS tool for producing near-real-time and cumulative maps of underwater radiated noise from vessels (V-URN) worldwide. It ingests AIS data via a community exchange, applies established vessel source-level models together with bathymetry-informed propagation modeling, and outputs maps using standard indicators (63 Hz and 125 Hz one-third-octave bands plus 20–2000 Hz broadband sound pressure and exposure levels). The paper describes the system architecture, data pipeline, modeling workflow and assumptions, states that map accuracy was evaluated against acoustic recordings, and illustrates management and policy use cases.

Significance. If the accuracy evaluation holds, the tool would be a useful practical contribution to marine environmental management by lowering barriers to global-scale V-URN mapping without specialist software or proprietary data. Credit is due for the open, community-data-driven design, reliance on published models without new free parameters or invented entities, and the explicit demonstration of decision-support workflows.

major comments (1)

The abstract and evaluation description state that map accuracy was evaluated by comparison with acoustic recordings, yet no quantitative error metrics, correlation coefficients, RMSE values, or rules for data exclusion are reported. This information is load-bearing for the central claim that the resulting maps are usable for management-level assessment and policy initiatives.

minor comments (1)

In the modeling workflow section, explicitly state the propagation model employed and any assumptions regarding sound-speed profiles or seasonal variability, as these directly affect the global applicability asserted in the abstract.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for their constructive review and for identifying this gap in the reporting of our validation results. We address the major comment below and will revise the manuscript accordingly.

read point-by-point responses

Referee: The abstract and evaluation description state that map accuracy was evaluated by comparison with acoustic recordings, yet no quantitative error metrics, correlation coefficients, RMSE values, or rules for data exclusion are reported. This information is load-bearing for the central claim that the resulting maps are usable for management-level assessment and policy initiatives.

Authors: We agree that the current manuscript does not provide the quantitative details of the accuracy evaluation. While the abstract and evaluation section mention comparison with acoustic recordings, specific metrics such as RMSE, correlation coefficients, and explicit data exclusion rules (e.g., SNR thresholds or spatial matching criteria) are not reported. In the revised manuscript we will add a new subsection and accompanying table that presents these quantitative results, including the number of validation sites, the computed error statistics, and the precise rules applied for data inclusion or exclusion. This will directly support the usability claims for management and policy applications. revision: yes

Circularity Check

0 steps flagged

No significant circularity detected

full rationale

The paper describes a practical web-based GIS tool that generates V-URN maps by applying established, pre-existing vessel source-level models and bathymetry-informed propagation models to external AIS data. No new derivations, equations, or fitted parameters are introduced within the paper itself; the core pipeline relies on published external models and independent acoustic recordings for validation. The central claims concern tool functionality, map production, and evaluation against external data, with no self-definitional reductions, fitted-input predictions, or load-bearing self-citations that collapse the output to internal inputs by construction.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

The central claim depends on the continued validity of pre-existing vessel source-level models and standard propagation assumptions rather than new derivations; no free parameters are introduced in the abstract, and no new physical entities are postulated.

axioms (2)

domain assumption Established vessel source level (SL) models remain accurate for the vessel types and operating conditions present in the global AIS dataset.
The tool applies these models directly without re-derivation or new calibration.
domain assumption Bathymetry-informed propagation modeling produces usable noise level estimates at management scales.
The abstract states the maps are informed by bathymetric data but does not detail the specific propagation code or its validation range.

pith-pipeline@v0.9.0 · 5552 in / 1502 out tokens · 49557 ms · 2026-05-12T00:45:30.277915+00:00 · methodology

discussion (0)

Lean theorems connected to this paper

Citations machine-checked in the Pith Canon. Every link opens the source theorem in the public Lean library.

IndisputableMonolith/Cost/FunctionalEquation.lean washburn_uniqueness_aczel unclear
Using established vessel SL models and propagation modeling informed by bathymetric data, ShipEcho produces near-real-time and cumulative noise maps across regions worldwide... Gaussian ray-tracing approach that accounts for bathymetry and sound-speed profile
IndisputableMonolith/Foundation/RealityFromDistinction.lean reality_from_one_distinction unclear
The propagation model uses bathymetry and the sound-speed profile (SSP) as its main environmental inputs... Gaussian beam weighting

Reference graph

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