Influence of Wind on PM2.5 Distribution in Yangtza Delta Area Based on Geostatistics

Jing CHEN, Qing-jie ZHU, Beata HEJMANOWSKA


Geostatistics include many useful tools to create a perfect and smooth interpolated image for the spatial sample data, and it is different with an ordinary simple interpolating method. Therefore, various methods produce particular and different results. Spatial variability is an important tool of geostatistics in GIS analysis. Spatial variability is described by spatial distance and direction, and can be described as surfaces. Analysis results of spatial variability are the basis of model construction. As an example application, spatial variability’s of environment data are analyzed, models are constructed based on spatial variability with mathematical fitting techniques. With kriging techniques for interpolating surfaces, distribution surfaces of pm 2.5 in Yangtza delta area are obtained. Finally, influence of wind on pm 2.5 concentration in this area is investigated according to the calculating results, and some advice is proposed.


Geostatistics, Spatial variability, Kriging, GIS analysis, IDRIS



  • There are currently no refbacks.