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

doi:10.1145/3284869.3284880

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

Faculty of Applied Sciences

研究成果: Conference contribution › 同行評審

11 引文斯高帕斯（Scopus）

摘要

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.

原文	English
主出版物標題	Proceedings of the 4th EAI International Conference on Smart Objects and Technologies for Social Good (formerly GOODTECHS), GOODTECHS 2018
發行者	Association for Computing Machinery
頁面	55-58
頁數	4
ISBN（電子）	9781450365819
DOIs	https://doi.org/10.1145/3284869.3284880
出版狀態	Published - 28 11月 2018
事件	4th EAI International Conference on Smart Objects and Technologies for Social Good, GOODTECHS 2018 - Bologna, Italy 持續時間: 28 11月 2018 → 30 11月 2018

出版系列

名字	ACM International Conference Proceeding Series

Conference

Conference	4th EAI International Conference on Smart Objects and Technologies for Social Good, GOODTECHS 2018
國家/地區	Italy
城市	Bologna
期間	28/11/18 → 30/11/18

UN SDG

此研究成果有助於以下永續發展目標

Sustainable cities and communities

存取文件

10.1145/3284869.3284880

其它文件與鏈接

Link to publication in Scopus

引用此

Tse, R., Aguiari, D., Monti, L., Pau, G., Prandi, C., & Salomoni, P. (2018). On assessing the accuracy of air pollution models exploiting a strategic sensors deployment. 於 Proceedings of the 4th EAI International Conference on Smart Objects and Technologies for Social Good (formerly GOODTECHS), GOODTECHS 2018 (頁 55-58). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3284869.3284880

Tse, Rita ; Aguiari, Davide ; Monti, Lorenzo 等. / On assessing the accuracy of air pollution models exploiting a strategic sensors deployment. Proceedings of the 4th EAI International Conference on Smart Objects and Technologies for Social Good (formerly GOODTECHS), GOODTECHS 2018. Association for Computing Machinery, 2018. 頁 55-58 (ACM International Conference Proceeding Series).

@inproceedings{366af63d38ca4e909cb658a430916427,

title = "On assessing the accuracy of air pollution models exploiting a strategic sensors deployment",

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.",

keywords = "Air pollution modeling, Air quality sensors, Open data, Sensors deployment",

author = "Rita Tse and Davide Aguiari and Lorenzo Monti and Giovanni Pau and Catia Prandi and Paola Salomoni",

note = "Publisher Copyright: {\textcopyright} 2018 Association for Computing Machinery.; 4th EAI International Conference on Smart Objects and Technologies for Social Good, GOODTECHS 2018 ; Conference date: 28-11-2018 Through 30-11-2018",

year = "2018",

month = nov,

day = "28",

doi = "10.1145/3284869.3284880",

language = "English",

series = "ACM International Conference Proceeding Series",

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Tse, R, Aguiari, D, Monti, L, Pau, G, Prandi, C & Salomoni, P 2018, On assessing the accuracy of air pollution models exploiting a strategic sensors deployment. 於 Proceedings of the 4th EAI International Conference on Smart Objects and Technologies for Social Good (formerly GOODTECHS), GOODTECHS 2018. ACM International Conference Proceeding Series, Association for Computing Machinery, 頁 55-58, 4th EAI International Conference on Smart Objects and Technologies for Social Good, GOODTECHS 2018, Bologna, Italy, 28/11/18. https://doi.org/10.1145/3284869.3284880

On assessing the accuracy of air pollution models exploiting a strategic sensors deployment. / Tse, Rita; Aguiari, Davide; Monti, Lorenzo 等.
Proceedings of the 4th EAI International Conference on Smart Objects and Technologies for Social Good (formerly GOODTECHS), GOODTECHS 2018. Association for Computing Machinery, 2018. p. 55-58 (ACM International Conference Proceeding Series).

研究成果: Conference contribution › 同行評審

TY - GEN

T1 - On assessing the accuracy of air pollution models exploiting a strategic sensors deployment

AU - Tse, Rita

AU - Aguiari, Davide

AU - Monti, Lorenzo

AU - Pau, Giovanni

AU - Prandi, Catia

AU - Salomoni, Paola

PY - 2018/11/28

Y1 - 2018/11/28

N2 - 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.

AB - 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.

KW - Air pollution modeling

KW - Air quality sensors

KW - Open data

KW - Sensors deployment

UR - https://www.scopus.com/pages/publications/85061101288

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DO - 10.1145/3284869.3284880

M3 - Conference contribution

AN - SCOPUS:85061101288

T3 - ACM International Conference Proceeding Series

SP - 55

EP - 58

BT - Proceedings of the 4th EAI International Conference on Smart Objects and Technologies for Social Good (formerly GOODTECHS), GOODTECHS 2018

PB - Association for Computing Machinery

T2 - 4th EAI International Conference on Smart Objects and Technologies for Social Good, GOODTECHS 2018

Y2 - 28 November 2018 through 30 November 2018

ER -

Tse R, Aguiari D, Monti L, Pau G, Prandi C, Salomoni P. On assessing the accuracy of air pollution models exploiting a strategic sensors deployment. 於 Proceedings of the 4th EAI International Conference on Smart Objects and Technologies for Social Good (formerly GOODTECHS), GOODTECHS 2018. Association for Computing Machinery. 2018. p. 55-58. (ACM International Conference Proceeding Series). doi: 10.1145/3284869.3284880

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

摘要

出版系列

Conference

UN SDG

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其它文件與鏈接

指紋

引用此