Estimation of PM2.5 Spatial Distribution Based on Kriging Interpolation

DOI

10.2991/icismme-15.2015.370How to use a DOI?

Keywords

PM2.5 spatial distribution; kriging interpolation; Matlab.

Abstract

The air quality in Beijing City is getting more and more attention. Aimed at analyzing distribution of PM2.5 concentration, this study adopts thirty-two observation sites PM2.5 concentration data in six days from Beijing City Environmental Protection Bureau. By kriging interpolation method, unknown points’ concentrations have been predicted and PM2.5 spatial distribution drawings have been plotted. The results show that PM2.5 concentration takes the gradient distribution. South area is higher than north while west area is higher than east. Further, we discussed reasons for this distribution.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lirong Deng
PY  - 2015/07
DA  - 2015/07
TI  - Estimation of PM2.5 Spatial Distribution Based on Kriging Interpolation
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 1791
EP  - 1794
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.370
DO  - 10.2991/icismme-15.2015.370
ID  - Deng2015/07
ER  -