Keywords
spatial modelling, gis, lidar, air pollution
Start Date
1-7-2006 12:00 AM
Abstract
Spatial analysis and visualization of data focused on air pollution in urban areas can be more efficiently explored by geographic information systems (GISs). Data originating from direct monitoring, mathematical modelling and physical simulation in wind tunnels are represented by a wide range of data formats that, together with spatial objects on the surface of studied areas, form heterogenic structures. Thus, to solve spatio-temporal analysis and numeric models, a complex computer system is needed to manage the data and a number of user oriented procedures. In the case of this contribution, a GIS project is developed to examine the GIS abilities to integrate and analyse data collections from LIDAR measurements in the urban areas of Prague. The LIDAR data contain spatial measurements of pollutants located in points along the laser beam trajectories. As regards the mechanical system, the laser beams are mostly arranged into a horizontal or a vertical scan. In the case of the LIDAR system used, one data collection contains 3D scanning of O3 in the horizontal planes and the other collection includes scanning of NO2 in the vertical planes. The horizontal scanning is located above a street network with heavy transport. The vertical scans are mainly in the direction of arterial roads mostly above their midlines. Spatial estimations are focused on spatial interpolation of pollutant concentrations by deterministic and geostatistical methods. Subsequently, the images, which illustrate the pollutant distribution, are included into the GIS project and visualized together with other spatial data that can support decision making processes and risk assessment analysis.
Spatial Estimations of Air Pollution in Urban Areas by LIDAR Measurements
Spatial analysis and visualization of data focused on air pollution in urban areas can be more efficiently explored by geographic information systems (GISs). Data originating from direct monitoring, mathematical modelling and physical simulation in wind tunnels are represented by a wide range of data formats that, together with spatial objects on the surface of studied areas, form heterogenic structures. Thus, to solve spatio-temporal analysis and numeric models, a complex computer system is needed to manage the data and a number of user oriented procedures. In the case of this contribution, a GIS project is developed to examine the GIS abilities to integrate and analyse data collections from LIDAR measurements in the urban areas of Prague. The LIDAR data contain spatial measurements of pollutants located in points along the laser beam trajectories. As regards the mechanical system, the laser beams are mostly arranged into a horizontal or a vertical scan. In the case of the LIDAR system used, one data collection contains 3D scanning of O3 in the horizontal planes and the other collection includes scanning of NO2 in the vertical planes. The horizontal scanning is located above a street network with heavy transport. The vertical scans are mainly in the direction of arterial roads mostly above their midlines. Spatial estimations are focused on spatial interpolation of pollutant concentrations by deterministic and geostatistical methods. Subsequently, the images, which illustrate the pollutant distribution, are included into the GIS project and visualized together with other spatial data that can support decision making processes and risk assessment analysis.
