Spatial And Temporal Distribution Characteristics Of Negative Air Ions In Eastern Heilongjiang Province

The rapid development of industrialization,urbanization has been expanding its production and transportation.Unreasonable energy structure as well as to the environmental problems of the expected shortage,lead to heilongjiang province in the high-speed economic development and at the same time accompanied by severe pollution of the environment.Domestic and foreign research shows that air negative ions on inhalable particles in the air has good adsorption effect,and the air negative ions to enter the body with blood and nerve adjust the functions of the body,in the aspect of health care,air purification has outstanding contribution.In recent years,researchers combined air negative ions and ecological environment,the air negative ions as an important measure of air quality,the domestic scholars according to the occurrence conditions of air negative ions,related factors and efficacy study,at present,air negative ions have been widely quoted to the fields such as medicine,industry and agriculture,and environmental assessment.Based on the east of heilongjiang province as an example,this paper studied the forest land,arable land,water and residents to the four functional areas such as the correlation between aero-anion concentration and environmental factors and building the relevant mathematical model of air negative ions concentration and environmental factors.This paper choose the temperature,humidity,elevation,and the normalized difference vegetation index four environmental factors,such as using the field survey data,zoning map,TM image,DEM images and MODIS products combined with spatial statistics,correlation analysis method,spatial interpolation methods,such as in the east of heilongjiang province of time and space distribution of air negative ions for quantitative analysis,and visualization.This paper used the SPSS statistical software for forest land,arable land,water and residents of the four functional areas such as air negative ions concentration were analyzed,to explore the air negative ions concentration differences of the four functional areas,and different functional areas of the correlation of air negative ions concentration and environmental factors were analyzed,and the qualitative analysis of environmental factors on the air negative ions concentration in the relation between effect and indirect effect.Selects the multiple linear regression and genetic algorithm to optimize the BP neural network method based on the correlation between aero-anion concentration and environmental factors to establish the corresponding mathematical model,mathematical model by the root mean square error inspection accuracy,compared two methods to get the mathematical model of the selection of high precision mathematical model to forecast the air negative ions concentration.Using ArcGIS software to classify the TM image processing,forest land,arable land,water and residents to the four functional areas.By processing the normalization of vegetation and atmospheric MODIS products and DEM image in 2008 and 2012,2008 and August 2016 data of environment factors,according to the established mathematical model of the different functional areas of Heilongjiang province estimation of air negative ions concentration.Analysis of the east of Heilongjiang province in time and space distribution characteristics of air negative ions concentration.