A method and apparatus for probabilistic quantitative analysis of the impact of coastal bridge noise on bird foraging.

By constructing a probabilistic quantitative model of the impact of coastal road and bridge noise on bird foraging, and combining deep learning and monitoring data, the spatiotemporal probability of bird foraging activities is quantified, which solves the problem of overestimation of noise impact, improves the accuracy of quantitative analysis, and facilitates ecological compensation.

CN121683419BActive Publication Date: 2026-05-26TRANSPORT PLANNING & RES INST MINIST OF TRANSPORT
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
TRANSPORT PLANNING & RES INST MINIST OF TRANSPORT
Filing Date
2025-10-20
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

The existing quantitative analysis of the impact of coastal road and bridge noise on bird foraging activities lacks long-term sample data support, leading to overestimation of the noise impact and making it impossible to accurately propose ecological compensation schemes.

Method used

A probabilistic quantitative model of the impact of coastal road and bridge noise on bird foraging was constructed. By combining deep learning model with traffic flow and tidal monitoring data, the spatiotemporal probability of bird foraging activities was quantified. Variable data were obtained and trial calculations were performed to obtain the probability value of noise impact.

Benefits of technology

This improves the accuracy of quantitative analysis, effectively reflecting the accuracy of the probability quantitative analysis results of the impact of coastal road and bridge noise on bird foraging, and facilitating the implementation of ecological compensation schemes.

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Abstract

This application discloses a probabilistic quantitative analysis method and apparatus for the impact of coastal bridge noise on bird foraging, relating to the fields of environmental science and engineering technology. The method includes: pre-constructing a quantitative model of the impact of coastal bridge noise on bird foraging; the quantitative model is a correlation function obtained by linking a first index function quantified from bird foraging activities on mudflats and a second index function quantified from the impact of coastal bridge noise on bird foraging activities; obtaining variable data on the impact of coastal bridge noise on bird foraging based on the quantitative model; and inputting the variable data into the correlation function corresponding to the quantitative model for trial calculations to obtain the probability value of the impact of coastal bridge noise on bird foraging. This process incorporates multiple spatiotemporal factors into the quantitative analysis process through the quantitative model, effectively reflecting the true impact of coastal bridge noise on bird foraging on mudflats, improving the accuracy of the quantitative analysis results, and facilitating the development of ecological compensation schemes.
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Citation Information

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