Intelligent marine pollution contrastive analysis and risk assessment method based on python crawler system and SVM

Abstract

The invention discloses an intelligent marine pollution contrastive analysis and risk assessment method based on a python crawler system and an SVM, and the method comprises the following steps: 1, capturing all literatures related to marine pollution from a literature database through the python crawler system; step 2, establishing a historical literature data comparison and analysis database; 3,establishing an international standard database; step 4, establishing an SVM model for pollutant risk assessment; 5, setting an internationally universal marine pollutant risk assessment model in thesystem; 6, carrying out sampling measurement on the sea area to be evaluated, 7, carrying out historical data comparison analysis on the basis of actually-measured data, and 8, forming a pollution risk evaluation report; and 9, and carrying out outputting. The method has the advantages of literature digitization, judgment standard digitization, pollution data evaluation intellectualization, marine pollution big datamation, marine international standard intellectualization, pollution risk evaluation model automation and the like.

Description

technical field [0001] The invention mainly relates to the field of marine environmental science and engineering, and focuses on the intelligent method of marine pollution level assessment and risk assessment. Background technique [0002] The current main technical path of marine pollution research: through the investigation and research of marine pollution media, the research results are compared with the public data in the main literature, and based on national standards, EU standards and US EPA standards, the pollution degree of marine ecology is judged. , and finally apply the EPA risk assessment model for risk assessment. Although this technical path can make a relatively reasonable assessment of the pollution level of marine ecology, its evaluation results are restricted by multiple factors such as data, evaluation standards, and manual data comparison efficiency. The workload is large and it takes a lot of time. With manpower, inefficiency. [0003] In the prior ar...

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Problems solved by technology

[0004] (1) High cost and low efficiency: The main technical path used in current research often requires manual screening of literature, searching for various evaluation criteria, and then conducting comparative analysis of pollution data. Therefore, marine pollution assessment using traditional technologies takes a lot of time and cost and labor costs, low efficiency;

[0005] (2) Large errors in the evaluation results: the research results of traditional technologies are restricted by factors such as the researcher's literature research and understanding level, the level of understanding and application of standards, and the number of reference materials. Therefore, for different researchers, the evaluation The results vary greatly

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