Drifting Ears on Rivers: A Scalable IoT-Based System for Spatiotemporal Mapping of Anthropogenic Noise Pollution in Freshwater Ecosystems

This study presents a novel framework using low-cost, IoT-enabled acoustic drifters and a Graph Convolutional Network to generate high-resolution maps of river noise, successfully identifying vessel traffic as the dominant acoustic source and pinpointing localized hotspots of intense pollution.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-11
DOI
https://doi.org/10.5281/zenodo.16791978
Primary Topic
Animal Vocal Communication and Behavior
Type
article
Field-Weighted Citation Impact
0.00
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article

Drifting Ears on Rivers: A Scalable IoT-Based System for Spatiotemporal Mapping of Anthropogenic Noise Pollution in Freshwater Ecosystems

Zenodo (CERN European Organization for Nuclear Research)
Animal Vocal Communication and Behavior
article

Drifting Ears on Rivers: A Scalable IoT-Based System for Spatiotemporal Mapping of Anthropogenic Noise Pollution in Freshwater Ecosystems

article en

Abstract

This study presents a novel framework using low-cost, IoT-enabled acoustic drifters and a Graph Convolutional Network to generate high-resolution maps of river noise, successfully identifying vessel traffic as the dominant acoustic source and pinpointing localized hotspots of intense pollution.

Zenodo (CERN European Organization for Nuclear Research)
Wuhan University (CN)
Openalex Percentile: Top 57%
Animal Vocal Communication and Behavior
DOIOpen Access PDFOpenAlex
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Drifting Ears on Rivers: A Scalable IoT-Based System for Spatiotemporal Mapping of Anthropogenic Noise Pollution in Freshwater Ecosystems · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS