<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper proposes a real-time urban air quality forecasting method based on monitoring sites and Thiessen polygon. Firstly, the concentration of pollutants affecting air quality is obtained through the real-time observations of the monitoring sites deployed in wireless sensor network, according to which the air quality index (AQI) can be calculated and air quality levels and categories can be graded. Then, Thiessen polygons are constructed based on the monitoring sites and the air quality conditions from the only site within any polygon will be the representative to that of any other points within this polygon. Finally, the monitoring sites and Thiessen polygons rendered with standard air quality colors will be visualized on a geographical map for the realization of real-time forecasting method taking Thiessen polygons as forecasting units. Taking Shanghai city as an example, a real-time and visualized air quality prediction platform has been constructed in downtown Shanghai city, the real-time visualization of urban air quality forecasting and early warnings under the constraints of Thiessen polygon have been realized</p>
</abstract>

This paper proposes a real-time urban air quality forecasting method based on monitoring sites and Thiessen polygon. Firstly, the concentration of pollutants affecting air quality is obtained through the real-time observations of the monitoring sites deployed in wireless sensor network, according to which the air quality index (AQI) can be calculated and air quality levels and categories can be graded. Then, Thiessen polygons are constructed based on the monitoring sites and the air quality conditions from the only site within any polygon will be the representative to that of any other points within this polygon. Finally, the monitoring sites and Thiessen polygons rendered with standard air quality colors will be visualized on a geographical map for the realization of real-time forecasting method taking Thiessen polygons as forecasting units. Taking Shanghai city as an example, a real-time and visualized air quality prediction platform has been constructed in downtown Shanghai city, the real-time visualization of urban air quality forecasting and early warnings under the constraints of Thiessen polygon have been realized

Real-Time Forecasting Method of Urban Air Quality Based on Observation Sites and Thiessen Polygons

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

This paper proposes a real-time urban air quality forecasting method based on monitoring sites and Thiessen polygon. Firstly, the concentration of pollutants...

Real-Time Forecasting Method of Urban Air Quality Based on Observation Sites and Thiessen Polygons

Publié en ligne: 01 déc. 2015

Pages: 2065 - 2082

Reçu: 22 août 2015

Accepté: 01 nov. 2015

DOI: https://doi.org/10.21307/ijssis-2017-843

Mots clés
Thiessen polygons, air quality, air quality index, PM2.5, real-time forecasting

© 2015 Xuefeng Liu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Real-Time Forecasting Method of Urban Air Quality Based on Observation Sites and Thiessen Polygons

Publié en ligne: 01 déc. 2015

Pages: 2065 - 2082

Reçu: 22 août 2015

Accepté: 01 nov. 2015

DOI: https://doi.org/10.21307/ijssis-2017-843

Mots clésThiessen polygons, air quality, air quality index, PM2.5, real-time forecasting

© 2015 Xuefeng Liu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mots clés
Thiessen polygons, air quality, air quality index, PM2.5, real-time forecasting