Abstract
Abstract In order to grasp the distribution of water quality index in lake water, taking Jinghu Lake of Guangxi University as the experimental object, an radial basis function (RBF) neural network was combined with a genetic algorithm on the basis of an unmanned ship to study the optimal selection of monitoring points. The single-objective and multi-objective optimization of water quality parameters were tested respectively and used to make the fitting distribution map. The results show that the genetic neural network has obvious advantages over the traditional isometric monitoring in the distribution error of water quality parameters, and the data reflected by the results are still accurate and effective at least six weeks after optimization. The results show that a genetic neural network can significantly improve the efficiency of water quality monitoring.
Highlights
With the increase in outdoor recreational activities, the degree of human activity and changes to the natural environment, such as lakes, have become a problem (Li )
Long-term effective data collection and analysis of lake waters can help meet laws outlined for lake environmental changes, the distribution of various parameters, and prevent and control water pollution in a timely and effective manner (Bai et al )
When the genetic algorithm is used to optimize the selection of monitoring points in the experiment, the initial population is first established
Summary
With the increase in outdoor recreational activities, the degree of human activity and changes to the natural environment, such as lakes, have become a problem (Li ). Water quality monitoring is important for mastering the changing and the trend of water quality. The layout of the monitoring points directly affects the efficiency and accuracy of the monitoring work. The optimal selection of monitoring points will improve the working efficiency of the measurement staff and save economic expenditure (Wang et al ). Long-term effective data collection and analysis of lake waters can help meet laws outlined for lake environmental changes, the distribution of various parameters, and prevent and control water pollution in a timely and effective manner (Bai et al ). Monitoring stations to monitor water quality are used, but construction costs are high and maintenance is difficult (Liu et al ).
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