Szczegóły rekordu

Tytuł:Identifying the location of odour nuisance emitters using spatial GIS analyses
Autor:Ilba Mateusz
Sołtysik Mariusz
Szakiel Jerzy
Turek Paweł
Wojnarowska Magdalena
Data wydania:10/09/2020
Obszar wiedzy:Złożoność zarządzania organizacjami w warunkach 4. rewolucji przemysłowej, Zarządzanie produktem
Słowa kluczowe:




Wydawca:Elsevier
Nazwa czasopisma:Chemosphere
Abstrakt:

The primary objective of the article was to establish the location of odour emitters with the use of spatial GIS analyses. The odour emitter location analysis based on measurements was carried out using QGIS software tools. The algorithm of the procedure was developed by analysing vector elements, including simulated odour streaks (in the form of wedge buffer surfaces) and a regular grid of points needed to determine the presence of a given buffer in a given location. Statistical analysis was performed in ArcGIS software.

The detailed aim of the conducted study was to analyse the nuisance of odours from the measurement data on the basis of IDW interpolation and the arrangement of buildings.

An innovative element of the developed analysis is the application of the inversed method of fragrance streak propagation. Identifying a streak from the measuring point towards the blowing wind is very likely to determine the approximate location of the odour emitter measured. The described method should provide better results at the location of emitters than the above mentioned methods using interpolation, because of taking into account wind direction and speed. In addition, it is a method that can be applied over a large open area where methods based on simulation and particle propagation would not be efficient or highly impossible to apply due to extensive and complex analysis.

It was necessary to conduct field studies in order to meet the main goal, which resulted in sensory evaluation of the intensity of odour nuisance in an urbanised area. Odour concentration tests using field olfactometry with NasalRanger olfactometer were taken.

DOI:https://doi.org/10.1016/j.chemosphere.2020.128252
ISSN/ISBN:

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