Marine environment risk assessment method and system based on multi-source data fusion

Through a multi-source data fusion method, a marine environmental risk assessment model is generated, which solves the problems of data fragmentation and processing lag in traditional methods, improves the accuracy and timeliness of risk assessment, and provides a more scientific basis for environmental management.

CN119719691AActive Publication Date: 2025-03-28NATIONAL MARINE ENVIRONMENTAL MONITORING CENTRE +1
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Patent Information

Application Number
CN202510220814.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-27
Publication Date
2025-03-28
Estimated Expiration
2045-02-27

AI Technical Summary

Technical Problem

Traditional marine environmental risk assessment methods are limited by data fragmentation and lag in processing, making it difficult to achieve the fusion processing of multiple data sources, resulting in errors or in timeliness in the results of environmental risk assessment.

Method used

Through a multi-source data fusion method, the integrity, consistency and timeliness of multi-source marine environment monitoring data are evaluated, the performance scores of multiple data sources are calculated, and the contribution ratio of the target data sources is adjusted to generate a multi-source data fusion model. The model is used to extract and analyze water quality and temperature data, detect outliers, evaluate the impact of marine development activities, and calculate marine environmental risk scores.

Benefits of technology

It improves the accuracy and timeliness of marine environmental risk assessment, can more accurately capture complex environmental changes trends and potential risk points, and provides a more scientific basis for environmental management and policy formulation.

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Abstract

The invention relates to the technical field of environment management, in particular to a marine environment risk assessment method and system based on multi-source data fusion, and the method comprises the following steps: carrying out the assessment based on the multi-source marine environment monitoring data through the data integrity, consistency and timeliness of a plurality of data sources, and calculating efficiency scores of the plurality of data sources and adjusting the contribution proportion of the target data source to generate a multi-source data fusion model. According to the method, by analyzing the efficiency of multiple data sources, adjustment of data source contribution is achieved, dynamic adaptability and flexibility of data fusion are optimized, the accuracy and timeliness of marine environment risk assessment are improved, and detection and recognition of abnormal data of multiple environment indexes are achieved by combining analysis of water quality related indexes and temperature data; through analysis of marine development activity events, a decision basis is provided for adjustment of marine management policies, and accurate assessment of marine environment risks is realized in combination with prediction of marine biological diversity.
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