顾及风向和风速的空气污染物浓度插值方法

doi:10.3724/SP.J.1047.2017.00382

Abstract

Abstract:

With the rapid development of economy, air pollution becomes more and more serious in China. The quality of the interpolation results of air pollutant concentration is very significant for analyzing the spatial-temporal distribution of the air pollutant, estimating the exposure risk of people in different areas, and making precaution. However, there are some problems when applying the existing spatial interpolation methods directly to the interpolation of air pollutant concentration. One of the most important problems is that the existing spatial interpolation methods cannot fully consider the influence of wind direction and speed on the air pollutant diffusion. We proposed a method (Direction-Velocity IDW) of spatial interpolation of air pollutant concentration taking wind direction and speed into account. First, we constructed a wind-field surface based on the discrete wind direction and speed data and the diffusion distance is computed in the wind-field. Then, we used Dijkstra algorithm to obtain the shortest path in wind-field. Finally, we interpolated the attribute value using IDW by the shortest path distance instead of the Euclidean distance. In the experiment, we verified the effectiveness of the method we proposed by comparing DVIDW and the commonly used spatial interpolation methods. We concluded that the proposed method (DVIDW) can produce interpolation results with higher precision.

Key words: spatial interpolation, wind direction and speed, air pollutant concentration, wind field, shortest path distance

LI Jialin,FAN Zide,DENG Min. A Method of Spatial Interpolation of Air Pollution Concentration Considering WindDirection and Speed[J].Journal of Geo-information Science, 2017, 19(3): 382-389.DOI:10.3724/SP.J.1047.2017.00382

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References 21

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	MAE/(μg/m³)	RMS/(μg/m³)
IDW_1	7.2732	15.2666
IDW_2	7.4573	16.0977
IDW_3	7.6951	17.0742
DIDW_1	6.6000	14.5153
DIDW_2	6.8691	14.8112
DIDW_3	7.0291	15.0007
Kriging	7.1302	15.0958
DVIDW_1	6.2557	14.5614
DVIDW_2	6.4666	14.6923
DVIDW_3	6.5208	14.7595

	MAE/(μg/m³)	RMS/(μg/m³)
IDW_1	15.6575	20.2964
IDW_2	14.5205	19.5501
IDW_3	13.8425	19.1654
DIDW_1	10.4757	14.5905
DIDW_2	10.6549	14.6874
DIDW_3	10.8367	14.8179
Kriging	15.1735	19.8676
DVIDW_1	10.1501	14.6334
DVIDW_2	10.2418	14.6044
DVIDW_3	10.2829	14.5789

A Method of Spatial Interpolation of Air Pollution Concentration Considering WindDirection and Speed

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