Scheda di dettaglio – i prodotti della ricerca
| Dato | Valore |
|---|---|
| Title | Trend analysis of atmospheric deposition data: A comparison of statistical approaches |
| Abstract | Numerical simulation was used to compare the most used trend analysis techniques on data series of ionic concentrations in atmospheric deposition. The Seasonal Kendall Test (SKT) showed the highest power, which increased in particular when using original weekly data instead of pooling together the samples in monthly or yearly volume-weighted averages. The simulation also showed that differences in power among tests and pooling intervals would be negligible for data series longer than about 12 years. We tested these results using data from a network of bulk deposition samplers at nine forest sites in Italy, for which data have been available since 1998. These sites were selected in different forests, ranging from arid Mediterranean evergreen oak forest to rainy Alpine beech or spruce forests. The results showed relevant differences as regards the number of significant trends detected using different techniques and different data pooling, even for 13-year data series. The use of minimumemaximum autocorrelation factor analysis allowed a better interpretation of the data, showing the main trend shapes among stations and variables. |
| Source | Atmospheric environment (1994) 64, pp. 95–102 |
| Keywords | TrendAtmospheric depositionKendall test |
| Journal | Atmospheric environment (1994) |
| Editor | Pergamon., Oxford, Regno Unito |
| Year | 2013 |
| Type | Articolo in rivista |
| DOI | 10.1016/j.atmosenv.2012.08.020 |
| Authors | Aldo Marchetto; Michela Rogora; Silvia Arisci |
| Text | 281530 2013 10.1016/j.atmosenv.2012.08.020 ISI Web of Science WOS 000313539300011 Trend Atmospheric deposition Kendall test Trend analysis of atmospheric deposition data A comparison of statistical approaches Aldo Marchetto; Michela Rogora; Silvia Arisci CNR ISE Verbania Pallanza Numerical simulation was used to compare the most used trend analysis techniques on data series of ionic concentrations in atmospheric deposition. The Seasonal Kendall Test SKT showed the highest power, which increased in particular when using original weekly data instead of pooling together the samples in monthly or yearly volume weighted averages. The simulation also showed that differences in power among tests and pooling intervals would be negligible for data series longer than about 12 years. We tested these results using data from a network of bulk deposition samplers at nine forest sites in Italy, for which data have been available since 1998. These sites were selected in different forests, ranging from arid Mediterranean evergreen oak forest to rainy Alpine beech or spruce forests. The results showed relevant differences as regards the number of significant trends detected using different techniques and different data pooling, even for 13 year data series. The use of minimumemaximum autocorrelation factor analysis allowed a better interpretation of the data, showing the main trend shapes among stations and variables. 64 Published version Articolo 2013_Atmospheric_Environment_64_95_102.pdf Articolo in rivista Pergamon. 1352 2310 Atmospheric environment 1994 Atmospheric environment 1994 Atmos. environ. 1994 aldo.marchetto MARCHETTO ALDO michela.rogora ROGORA MICHELA TA.P04.016.004 Ecologia teorica e applicata degli ecosistemi acquatici |