Issue |
E3S Web Conf.
Volume 17, 2017
9th Conference on Interdisciplinary Problems in Environmental Protection and Engineering EKO-DOK 2017
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Article Number | 00085 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/e3sconf/20171700085 | |
Published online | 24 May 2017 |
GIS-based modelling of odour emitted from the waste processing plant: case study
Wroclaw University of Science and Technology, Faculty of Environmental Engineering, Unit of Ecologistics and Environmental Risk Management, Pl. Grunwaldzki 9, 50- 377 Wroclaw
* Corresponding author: izabela.sowka@pwr.edu.pl
The emission of odours into the atmospheric air from the municipal economy and industrial plants, especially in urbanized areas, causes a serious problem, which the mankind has been struggling with for years. The excessive exposure of people to odours may result in many negative health effects, including, for example, headaches and vomiting. There are many different methods that are used in order to evaluate the odour nuisance. The results obtained through those methods can then be used to carry out a visualization and an analysis of a distribution of the odour concentrations in a given area by using the GIS (Geographic Information System). By their application to the spatial analysis of the impact of odours, we can enable the assessment of the magnitude and likelihood of the occurrence of odour nuisance. Modelling using GIS tools and spatial interpolation like IDW method and kriging can provide an alternative to the standard modelling tools, which generally use the emission values from sources that are identified as major emitters of odours. The work presents the result, based on the odour measurements data from waste processing plant, of the attempt to connect two different tools – the reference model OPERAT FB and GIS-based dispersion modelling performed using IDW method and ordinary kriging to analyse their behaviour in terms of limited observation values.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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