A Multisite-Multipollutant Air Quality Index

Agrò, G

Risultato della ricerca: Article

14 Citazioni (Scopus)

Abstract

In this paper, starting from a multivariate spatio-temporal array, containing air pollution data collected for the main pollutants at different monitoring sites over a 1-year period, a new approach is proposed to get a Multipollutant-Multisite Air Quality Index (AQI) time series. A two steps aggregation, related to space and to pollutants, is considered. For the first aggregation (spatial synthesis) a PCA is performed on data array opportunely rearranged, while the index I2, proposed in Ruggieri and Plaia (2011), is used for the second aggregation (pollutant synthesis), obtaining the new index IMS 2 . Daily data of four air pollutants from the city of Palermo (Italy) are analyzed to test the performance of the new index. The index IMS 2 overcomes the main issues presented by other indices, many of which based on AQI computed by US EPA, considering the highest pollutant concentration adequately standardized. The comparison carried out shows that the index here proposed has a better performance than the synthesis by median-maximum (Bruno and Cocchi, 2002) and the synthesis by PCA along both space and pollutant dimensions, if the conjoint effect on air quality of the different pollutants has to be taken into account.
Lingua originaleEnglish
pagine (da-a)387-391
Numero di pagine5
RivistaAtmospheric Environment
Volume70
Stato di pubblicazionePublished - 2013

Fingerprint

air quality
pollutant
index
atmospheric pollution
time series
monitoring

All Science Journal Classification (ASJC) codes

  • Environmental Science(all)
  • Atmospheric Science

Cita questo

A Multisite-Multipollutant Air Quality Index. / Agrò, G.

In: Atmospheric Environment, Vol. 70, 2013, pag. 387-391.

Risultato della ricerca: Article

Agrò, G. / A Multisite-Multipollutant Air Quality Index. In: Atmospheric Environment. 2013 ; Vol. 70. pagg. 387-391.
@article{afc3bd473edf469f9a39cd990df6c7c1,
title = "A Multisite-Multipollutant Air Quality Index",
abstract = "In this paper, starting from a multivariate spatio-temporal array, containing air pollution data collected for the main pollutants at different monitoring sites over a 1-year period, a new approach is proposed to get a Multipollutant-Multisite Air Quality Index (AQI) time series. A two steps aggregation, related to space and to pollutants, is considered. For the first aggregation (spatial synthesis) a PCA is performed on data array opportunely rearranged, while the index I2, proposed in Ruggieri and Plaia (2011), is used for the second aggregation (pollutant synthesis), obtaining the new index IMS 2 . Daily data of four air pollutants from the city of Palermo (Italy) are analyzed to test the performance of the new index. The index IMS 2 overcomes the main issues presented by other indices, many of which based on AQI computed by US EPA, considering the highest pollutant concentration adequately standardized. The comparison carried out shows that the index here proposed has a better performance than the synthesis by median-maximum (Bruno and Cocchi, 2002) and the synthesis by PCA along both space and pollutant dimensions, if the conjoint effect on air quality of the different pollutants has to be taken into account.",
author = "{Agr{\`o}, G} and {Di Salvo}, Francesca and Gianna Agro' and Antonella Plaia and Mariantonietta Ruggieri",
year = "2013",
language = "English",
volume = "70",
pages = "387--391",
journal = "Atmospheric Environment",
issn = "1352-2310",
publisher = "Elsevier Limited",

}

TY - JOUR

T1 - A Multisite-Multipollutant Air Quality Index

AU - Agrò, G

AU - Di Salvo, Francesca

AU - Agro', Gianna

AU - Plaia, Antonella

AU - Ruggieri, Mariantonietta

PY - 2013

Y1 - 2013

N2 - In this paper, starting from a multivariate spatio-temporal array, containing air pollution data collected for the main pollutants at different monitoring sites over a 1-year period, a new approach is proposed to get a Multipollutant-Multisite Air Quality Index (AQI) time series. A two steps aggregation, related to space and to pollutants, is considered. For the first aggregation (spatial synthesis) a PCA is performed on data array opportunely rearranged, while the index I2, proposed in Ruggieri and Plaia (2011), is used for the second aggregation (pollutant synthesis), obtaining the new index IMS 2 . Daily data of four air pollutants from the city of Palermo (Italy) are analyzed to test the performance of the new index. The index IMS 2 overcomes the main issues presented by other indices, many of which based on AQI computed by US EPA, considering the highest pollutant concentration adequately standardized. The comparison carried out shows that the index here proposed has a better performance than the synthesis by median-maximum (Bruno and Cocchi, 2002) and the synthesis by PCA along both space and pollutant dimensions, if the conjoint effect on air quality of the different pollutants has to be taken into account.

AB - In this paper, starting from a multivariate spatio-temporal array, containing air pollution data collected for the main pollutants at different monitoring sites over a 1-year period, a new approach is proposed to get a Multipollutant-Multisite Air Quality Index (AQI) time series. A two steps aggregation, related to space and to pollutants, is considered. For the first aggregation (spatial synthesis) a PCA is performed on data array opportunely rearranged, while the index I2, proposed in Ruggieri and Plaia (2011), is used for the second aggregation (pollutant synthesis), obtaining the new index IMS 2 . Daily data of four air pollutants from the city of Palermo (Italy) are analyzed to test the performance of the new index. The index IMS 2 overcomes the main issues presented by other indices, many of which based on AQI computed by US EPA, considering the highest pollutant concentration adequately standardized. The comparison carried out shows that the index here proposed has a better performance than the synthesis by median-maximum (Bruno and Cocchi, 2002) and the synthesis by PCA along both space and pollutant dimensions, if the conjoint effect on air quality of the different pollutants has to be taken into account.

UR - http://hdl.handle.net/10447/77930

M3 - Article

VL - 70

SP - 387

EP - 391

JO - Atmospheric Environment

JF - Atmospheric Environment

SN - 1352-2310

ER -