In the traveling society, it is a very important kind of geographical resources, closely related to human life, so it can be known that the monitoring of water resources can allow us to better observe and study the use of water resources. Ordinary monitoring methods can no longer monitor water resources more accurately. Therefore, a genetic algorithm is proposed for water conservancy monitoring and analysis. First, the computer is used to analyze water resources, and the indicators are divided according to the requirements of water conservancy monitoring to reduce water conservancy monitoring in the interfering factor. Then, the computer analyzes the results of water conservancy monitoring, forms a water conservancy monitoring program, and conducts water conservancy monitoring results Comprehensive analysis. MATLAB simulation shows that under certain evaluation criteria, the genetic algorithm can monitor the accuracy and water conservancy of hydrological water resources The reliability is better than that of ordinary monitoring methods.

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Application of Genetic Algorithm in Hydrology and Water Resources Course Monitoring

  • Jie Zhao,
  • Yingjie Wang

摘要

In the traveling society, it is a very important kind of geographical resources, closely related to human life, so it can be known that the monitoring of water resources can allow us to better observe and study the use of water resources. Ordinary monitoring methods can no longer monitor water resources more accurately. Therefore, a genetic algorithm is proposed for water conservancy monitoring and analysis. First, the computer is used to analyze water resources, and the indicators are divided according to the requirements of water conservancy monitoring to reduce water conservancy monitoring in the interfering factor. Then, the computer analyzes the results of water conservancy monitoring, forms a water conservancy monitoring program, and conducts water conservancy monitoring results Comprehensive analysis. MATLAB simulation shows that under certain evaluation criteria, the genetic algorithm can monitor the accuracy and water conservancy of hydrological water resources The reliability is better than that of ordinary monitoring methods.