Visualized spatiotemporal data mining in investigation of Urmia Lake drought effects on increasing of PM10 in Tabriz using Space-Time Cube (2004-2019)

Abstract

• Spatiotemporal data mining using space-time cube. • Trend analysis of Urmia Lake drying and PM10 concentration in Tabriz. • Investigating the relationship between Urmia Lake drying and PM10 concentration. • 3D visualization, Emerging hot spot and Time Series analysis. The idea of a smart city seeks to improve the quality of life, which environmental sustainability is one of its main challenges, and low air quality is an important obstacle to achieving the sustainability. Accordingly, we investigated the relationships between Urmia Lake drying-up and PM10 concentration in Tabriz by 3D visualization of space-time cube in ArcGIS pro 2.7. So, Satellite images of the lake and PM10 data were collected. Next, a space-time cube was created for each season of the lake and PM10 during 2004 to 2019. Then Time series analysis, Emerging hot spot analysis and 3D visualization of these cubes were performed. The results showed that there is a clear relationship between drying-up of the lake and increasing of PM10 in Tabriz and we recognized that the drying-up has a significant impact on increasing of PM10 concentration in Tabriz.