A Multisite-Multipollutant Air Quality Index
Atmospheric Environment, ISSN: 1352-2310, Vol: 70, Page: 387-391
2013
- 23Citations
- 62Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
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 I 2, proposed in Ruggieri and Plaia (2011), is used for the second aggregation (pollutant synthesis), obtaining the new index I2MS. Daily data of four air pollutants from the city of Palermo (Italy) are analyzed to test the performance of the new index. The index I2MS 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.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S1352231013000538; http://dx.doi.org/10.1016/j.atmosenv.2013.01.028; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84873912469&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S1352231013000538; https://api.elsevier.com/content/article/PII:S1352231013000538?httpAccept=text/xml; https://api.elsevier.com/content/article/PII:S1352231013000538?httpAccept=text/plain; https://dx.doi.org/10.1016/j.atmosenv.2013.01.028
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know