Next Article in Journal
Fabrication and Characterization of Silicon Micro-Funnels and Tapered Micro-Channels for Stochastic Sensing Applications
Next Article in Special Issue
Comparing Different Approaches for Mapping Urban Vegetation Cover from Landsat ETM+ Data: A Case Study on Brussels
Previous Article in Journal
An Assessment of the Altimetric Information Derived from Spaceborne SAR (RADARSAT-1, SRTM3) and Optical (ASTER) Data for Cartographic Application in the Amazon Region
Previous Article in Special Issue
Air Pollution Monitoring and Mining Based on Sensor Grid in London
Article Menu

Export Article

Open AccessArticle
Sensors 2008, 8(6), 3830-3847;

Spatio-Temporal Modelling of Dust Transport over Surface Mining Areas and Neighbouring Residential Zones

Institute for Environmental Studies, Faculty of Science, Charles University in Prague, Benatska 2, Prague 2, 12801, Czech Republic
Institute of Thermomechanics, Academy of Sciences, Dolejskova 5, Prague 8, 18200, Czech Republic
Department of Technical Mathematics, Czech Technical University in Prague, Karlovo Namesti 13, 12135, Czech Republic
Ecoprogress, Zatecka 1899, Most, 43401, Czech Republic
Author to whom correspondence should be addressed.
Received: 25 January 2008 / Revised: 26 May 2008 / Accepted: 27 May 2008 / Published: 6 June 2008
(This article belongs to the Special Issue Sensors for Urban Environmental Monitoring)
Full-Text   |   PDF [3434 KB, uploaded 21 June 2014]


Projects focusing on spatio-temporal modelling of the living environment need to manage a wide range of terrain measurements, existing spatial data, time series, results of spatial analysis and inputs/outputs from numerical simulations. Thus, GISs are often used to manage data from remote sensors, to provide advanced spatial analysis and to integrate numerical models. In order to demonstrate the integration of spatial data, time series and methods in the framework of the GIS, we present a case study focused on the modelling of dust transport over a surface coal mining area, exploring spatial data from 3D laser scanners, GPS measurements, aerial images, time series of meteorological observations, inputs/outputs form numerical models and existing geographic resources. To achieve this, digital terrain models, layers including GPS thematic mapping, and scenes with simulation of wind flows are created to visualize and interpret coal dust transport over the mine area and a neighbouring residential zone. A temporary coal storage and sorting site, located near the residential zone, is one of the dominant sources of emissions. Using numerical simulations, the possible effects of wind flows are observed over the surface, modified by natural objects and man-made obstacles. The coal dust drifts with the wind in the direction of the residential zone and is partially deposited in this area. The simultaneous display of the digital map layers together with the location of the dominant emission source, wind flows and protected areas enables a risk assessment of the dust deposition in the area of interest to be performed. In order to obtain a more accurate simulation of wind flows over the temporary storage and sorting site, 3D laser scanning and GPS thematic mapping are used to create a more detailed digital terrain model. Thus, visualization of wind flows over the area of interest combined with 3D map layers enables the exploration of the processes of coal dust deposition at a local scale. In general, this project could be used as a template for dust-transport modelling which couples spatial data focused on the construction of digital terrain models and thematic mapping with data generated by numerical simulations based on Reynolds averaged Navier-Stokes equations. View Full-Text
Keywords: 3D laser scanning; GPS; Spatio-temporal modelling; Dust transport; GIS; Spatial database; Visualization; RANS equations. 3D laser scanning; GPS; Spatio-temporal modelling; Dust transport; GIS; Spatial database; Visualization; RANS equations.
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

MDPI and ACS Style

Matejicek, L.; Janour, Z.; Benes, L.; Bodnar, T.; Gulikova, E. Spatio-Temporal Modelling of Dust Transport over Surface Mining Areas and Neighbouring Residential Zones. Sensors 2008, 8, 3830-3847.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top