A method for predicting relative pollution probability of beach litter by comprehensively considering nearshore dynamic conditions and activities of target objects

By constructing a method for assessing the relative pollution probability of beach debris that comprehensively considers tidal wave erosion, wind-wave-current coupling dynamics, and the activities of target objects, the problem of insufficient predictability in existing beach debris assessment technologies is solved, enabling refined management and scientific decision-making regarding the risk of beach debris accumulation.

CN122347004APending Publication Date: 2026-07-07HOHAI UNIV
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Patent Information

Application Number
CN202610362655.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-24
Publication Date
2026-07-07

AI Technical Summary

Technical Problem

Existing beach litter assessment methods are mostly descriptive statistics after the fact, which cannot achieve pre-event prediction and management decision-making. Furthermore, they lack systematic quantitative analysis of nonlinear coupling effects such as synergistic enhancement or offsetting weakening among multiple driving factors, making it difficult to support the refined simulation and management of beach litter accumulation hotspots.

Method used

A method for assessing the relative pollution probability of beach and tidal flat debris is constructed, which comprehensively considers nearshore tidal wave scouring, wind-wave-current coupling dynamics, and the activities of target objects. The probability of debris retention is calculated by a multi-parameter coupling method, and the factor weights are determined by the entropy weight method for spatial visualization and hierarchical management.

Benefits of technology

It enables graded prediction of the risk of beach litter accumulation, providing a scientific basis for precise and differentiated beach cleaning and management, improving management efficiency and precision, and avoiding subjective bias.

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Abstract

The present application provides a beach and tidal flat garbage relative pollution probability prediction method considering the influence of nearshore tide wave and target object activity, which comprises the following steps: S1, obtaining the basic data of the target beach; S2, calculating the beach and tidal flat garbage relative pollution probability P under the influence of tide wave scouring v ’ ; S3, calculating the beach and tidal flat garbage relative pollution probability P under the influence of nearshore wind-wave-current combination h ; S4, calculating the beach and tidal flat garbage relative pollution probability P under the influence of target object activity r ; S5, calculating the comprehensive beach and tidal flat garbage relative pollution probability P; S6, spatially classifying and visualizing the P values of each region obtained by calculation, and drawing a beach and tidal flat garbage relative pollution probability ranking diagram.
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