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.
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
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.
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.
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.
Smart Images

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