Research And Implementation Of Atmospheric Meteorological Analysis And Forecast System Based On Web GIS

At present,the problem of environmental pollution in our country is becoming more and more serious,which has aroused widespread concern from all walks of life.Among them,the problem of air pollution is particularly serious,which will have many adverse effects on production and life.However,there are no effective measures to control the emission of air pollutants,and there is also a lack of measures.Corresponding monitoring means.In the treatment of air pollution,the key link is to monitor pollutant emissions.At present,the rapid development of network computer technology has begun to be applied to the field of air pollution emission monitoring.This paper conducts research under this situation and establishes a set of air pollutant emission system based on Web GIS.Aiming at the haze weather problem caused by air pollutants in Handan City,this article firstly collects the location information of 18 environmental monitoring stations in Handan City,the daily average air quality index(IAQI),and weather data to establish air quality and weather data by means of web crawlers.The weather information database is preprocessed by interpolation of the data by cubic spline interpolation,taking into account the influence of temperature,wind speed,and wind direction changes to establish a coordinate system,and on this basis,establish a Gaussian diffusion model based on air pollution data at multiple monitoring points.Establish a model reflecting the change law of air pollution diffusion and attenuation in the area,use trust region algorithm to fit multiple IAQI data from monitoring stations,simulate several pollution sources in urban areas according to different initial values,and get the number of pollution sources And the specific location.After completing the simulation of air pollution diffusion and traceability,a haze prediction method based on multiple linear regression analysis was proposed.Analyze the influencing factors of various IAQIs through scatter diagrams,and conduct comparative analysis to determine the main factors to determine the changes in the concentration of air pollutants.And consider the influence of spatial factors to improve the multiple regression model,and use nearby monitoring stations as characteristic values to establish a prediction model for the concentration of various air pollutants.Finally,according to the real-time data and historical data of the day,based on the regression model,the air pollutant indicators of the target site in the next day are accurately predicted.Finally,through Web GIS,use its high efficiency in processing spatial data,spatial analysis capabilities,visualization capabilities,cross-platform,easy expansion,and wide accessibility to complete the prediction and evaluation of air pollution in the area,and realize the simulation and prediction results of diffusion and traceability.Visual display of.Analyzing the number and concentration of simulated pollution sources of multiple air pollutants,as well as the location distribution relationship and predicting changes in the concentration of air pollutants,the results obtained can be used to take targeted treatment methods for different pollution situations in different areas of Handan City.