On assessing the accuracy of air pollution models exploiting a strategic sensors deployment

Rita Tse, Davide Aguiari, Lorenzo Monti, Giovanni Pau, Catia Prandi, Paola Salomoni

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

Abstract

This paper presents a preliminary experiment done to identify potential problems and issues in setting up a testbed for air pollution measurement and modeling. Our final testbed, part of a joint research activity between the University of Bologna and the Macao Polytechnic Institute, will be composed of three lines of the air pollution sensors Canarin II and it will be used to produce spatio-temporal open data to test third-party air pollution models. Here, we present a preliminary experiment based on a single line of sensors, showing interesting insights into the actual open challenge of air pollution modeling techniques validation, taking into account the effects of air pollutant emissions sources, meteorology, atmospheric concentrations and urban vegetation.

Original languageEnglish
Title of host publicationProceedings of the 4th EAI International Conference on Smart Objects and Technologies for Social Good (formerly GOODTECHS), GOODTECHS 2018
PublisherAssociation for Computing Machinery
Pages55-58
Number of pages4
ISBN (Electronic)9781450365819
DOIs
Publication statusPublished - 28 Nov 2018
Event4th EAI International Conference on Smart Objects and Technologies for Social Good, GOODTECHS 2018 - Bologna, Italy
Duration: 28 Nov 201830 Nov 2018

Publication series

NameACM International Conference Proceeding Series

Conference

Conference4th EAI International Conference on Smart Objects and Technologies for Social Good, GOODTECHS 2018
Country/TerritoryItaly
CityBologna
Period28/11/1830/11/18

Keywords

  • Air pollution modeling
  • Air quality sensors
  • Open data
  • Sensors deployment

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