Air Pollution Due to Central Heating of a City-Centered University Campus
Andreas Gavros () and
Kostas Karatzas ()
Additional contact information
Andreas Gavros: Aristotle University
Kostas Karatzas: Aristotle University
A chapter in Advances and New Trends in Environmental Informatics, 2022, pp 117-133 from Springer
Abstract:
Abstract The aim of this study was to determine the gaseous pollutant concentrations resulting from the natural gas-powered central heating at the Aristotle University of Thessaloniki (AUTh) main campus, on the basis of limited emission and meteorological data. For this reason, a methodology was compiled addressing emissions and concentration levels as a function of a set of meteorological scenarios: Emissions were estimated based on campus operational conditions and concentration levels were calculated by employing Gaussian plume model approach via an in-house implementation in Python. The necessary climatic conditions were used to compile a sum of 1080 different weather–dispersion model scenarios. Obtained results allowed for the adequate analysis of the geospatial distribution of pollutants. Concentration levels were estimated to be below relevant limit values but dependent on the prevailing meteorological conditions.
Keywords: Air pollution; Gaussian plume modelling; Meteorological scenario analysis; Python dispersion model (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-030-88063-7_8
Ordering information: This item can be ordered from
http://www.springer.com/9783030880637
DOI: 10.1007/978-3-030-88063-7_8
Access Statistics for this chapter
More chapters in Progress in IS from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().