Spatial Distribution Prediction of Air Negative Ion Concentration in Heilongjiang Province

doi:10.14088/j.cnki.issn0439-8114.2018.05.007

Abstract

Abstract: To explore the spatial distribution pattern of negative air ion,the thesis used the Heilongjiang Province as the exploration area and chose 331 typical observation points to do the negative air ion observation. According to the datas we have,three interpolation methods were adopted（Ordinary Kriging method,inverse distance weighted method,radial basis function method） to do the spatial interpolation analysis of the negative air ion of 331 observation points in Heilongjiang Province. Correlation parameters were adopted,such as mean error,root mean square error,mean standard error,standard mean value,standard root mean square error,to compare the results of interpolation and study the effects of the results of negative air ion in this area that different methods brought to. The results showed that,the Moran’s I of negative air ion concentration in Heilongjiang Province was 0.36,indicated that the negative air ion had spatial autocorrelation in Heilongjiang Province. According to the comparision of four variograms models of Ordinary Kriging method（circulai model,spherical model,exponential model,Gaussian model）,it was found that the accuracy of exponential model was higher and this model was more suitable for the interpolation of negative air ion concentration. The regression analysis of 265 forecst sites and 66 validation sites showed that the focast figures and examine figures of three kinds of different interpolation methods had relevance. Significance level test R² results was Ordinary Kriging（0.840 33）,radial basis function method（0.803 96） and inverse distance weighting method （0.610 16） from high to low. According to synthetic comparision,it was found that optimal semivariogram for the exponential model of ordinary Kriging interpolation results of negative air ion concentration in Heilongjiang Province were the best,and it could focast the spatial distribution of negative air ion in Heilongjiang Province well.

Key words: air negative ion concentration, variation function, spatial interpolation, Heilongjiang Province

CLC Number:

X831
X51

WANG Ji-xiang, YANG Jiang-ning, ZHANG Dong-you. Spatial Distribution Prediction of Air Negative Ion Concentration in Heilongjiang Province[J]. HUBEI AGRICULTURAL SCIENCES, 2018, 57(5): 24-29.

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