Design And Implementtation Of Air Quality Early Warning System Based On Multi-mode Forecast

Air pollution is not only an environmental problem,as well as a health and social problem.After the second industrial revolution,the pollution caused by the large-scale use of fossil energy in the world exceeds the range of atmospheric self-purification,and air pollution problems are started to highlight.After China's reform and opening up,industrial manufacturing has developed rapidly,which has also brought about atmospheric pollution.Predicting air quality accurately can provide data support for air quality management,so the air quality early warning system has its practical application significance.At the same time,advances in information technology and improvements in computer performance provide strong technical support for air quality forecast.Based on the air quality numerical prediction method and artificial neural network technology,this paper implements an air quality early warning system.In this paper,the numerical forecast model is used to predict air quality.At the same time,in order to improve the accuracy of the prediction results,an optimization algorithm based on Elman neural network is constructed on the basis of the results of the numerical forecast model of air quality.Finally,an air quality early warning system based on multi-model prediction is designed and implemented on the basis of various prediction results.This system uses the numerical prediction model of air quality to predict air quality,and the numerical prediction model of air quality uses in this system including CMAQ(The Community Multiscale Air Quality modeling system)and CAMx(The Comprehensive Air quality Model with extensions).This system predicts meteorological data through the WRF(The Weather Research and Forecasting Model).Then the prediction results of numerical models CMAQ,CAMx and WRF are analyzed into decimal data and picture format for storage.At the same time,the Elman neural network optimization algorithm is used to optimize the air quality forecast results.Based on all of forecast data,five functional modules including weather forecast module,air forecast module,assessment analysis module,management module and login module,are designed and completed to display air quality forecast data and weather forecast data from multi-angle and three-dimensional.Finally,after functional testing and non-functional testing,the system has achieved the expected effect results and met the actual application requirements.