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Spatial And Temporal Statistics Of Atmospheric Pollution In Central Plains Economic Zone

Posted on:2019-09-05Degree:MasterType:Thesis
Country:ChinaCandidate:X Y YinFull Text:PDF
GTID:2371330548969804Subject:Probability theory and mathematical statistics
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While China's economy continues to develop rapidly,it also faces many problems that are difficult to solve.Environmental issues are one of the most important issues.With the increasing pollution of the air,people's health is threatened,so the analysis of air pollution has become important.This paper analyzes the atmospheric pollution of the Central Plains Economic Zone in time,establishes a seasonal time series model,makes a seasonal split map,and tests the trend and seasonality.The results show that the change of pollutant concentration appears in time.The annual cycle is the most serious pollution in winter,followed by spring and then autumn.The lightest pollution is in summer.Spatial analysis of atmospheric pollution in the Central Plains Economic Zone mainly uses functional principal component analysis methods and variations.The function method spatially analyzes the PM2.5 in the Central Plains Economic Zone and uses ArcGIS to visualize the results.The results show that the pollution in the central and northern parts of the Central Plains Economic Zone is the most serious.The northern parts of Anyang,Anhui,etc.are all heavy industry-based cities with the most developed economy.The pollution of Zhengzhou and other places with relatively dense population is also relatively serious.The eastern Shangqiu,where the economy is relatively backward and the population is relatively evacuated,has a relatively light pollution in Zhoukou and other places;the Central Plains Economic Zone is analyzed in time and space through simple establishment.Space-time function model to perform spatio-temporal statistical analysis of PM2.5 in the Central Plains Economic Zone and use The model is tested and predicted.The results show that when the extreme value occurs,the prediction result has a large deviation.Under normal circumstances,the observation value is close to the estimation value.Through these studies,there is a certain practical significance for the governance and prediction of atmospheric pollution in the Central Plains Economic Zone,and through the establishment of a spatial-temporal distribution model,there is a certain theoretical value for the study of the spatial and temporal distribution of atmospheric pollution.
Keywords/Search Tags:Seasonal time series, Functional cluster analysis, Variogram, Kriging interpolation, Spatio-temporal distribution model
PDF Full Text Request
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