Water quality mechanism modeling and water quality prediction method based on drosophila optimization algorithm

Abstract

The invention discloses a water quality mechanism modeling and water quality prediction method based on a fruit fly optimization algorithm, belonging to the technical field of environmental engineering. At first, the invention combines the water quality evolution mechanism, and proposes a lake reservoir water quality mechanism modeling and water quality prediction method based on a fruit fly optimization algorithm. Based on the known water quality measurement data, the unknown parameters of the water quality mechanism model are estimated by using Drosophila optimization algorithm. On this basis, the water quality evolution process is predicted by Monte Carlo simulation, and the probability distribution of water quality indexes in the future is obtained, and the water quality prediction isrealized. The invention can establish an accurate water quality mechanism model, and the water quality mechanism modeling method based on the drosophila optimization algorithm can accurately estimateunknown parameters of the water quality mechanism model, which improves the optimization accuracy and speed compared with the prior method; water quality prediction method can effectively realize water quality prediction, and consider more comprehensive, accurate, and overcome the contingency of single-value prediction results.

Description

technical field [0001] The invention designs a water quality mechanism modeling and water quality prediction method based on a fruit fly optimization algorithm, and belongs to the technical field of environmental engineering. Background technique [0002] Water is the foundation of life on our planet, but this precious resource is increasingly under threat. The International Commission on Lake Environment and the United Nations Environment Program have carried out a project entitled "Survey of the State of the World's Lakes". The project collected detailed data on 217 lakes around the world. Through this project, it was possible to identify six major environmental issues that all have a significant impact on water quality, eutrophication being one of them. At present, the eutrophication percentages of lakes in different regions of the world are: 54% in Asia, 53% in Europe, 28% in Africa; 48% in North America; 41% in South America, and more than 60% in South Africa. In Chi...

AI Technical Summary

Problems solved by technology

Both methods have certain advantages. However, the effect of data-driven water quality modeling depends on the quantity and quality of data, and cannot reasonably explain the evolution process of water quality indicators.

At present, the existing classical water quality mechanism models usually contain a large number of unknown parameters, and only given empirical value ranges, it is difficult to predict water quality changes on this basis to meet the accuracy requirements

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