Trend analysis of atmospheric deposition data: A comparison of statistical approaches (Articolo in rivista)

Type

• Prodotto della ricerca (Classe)
• Articolo in rivista (Classe)

Label

• Trend analysis of atmospheric deposition data: A comparison of statistical approaches (Articolo in rivista) (literal)

Anno

• 2013-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1016/j.atmosenv.2012.08.020 (literal)

Alternative label

• Aldo Marchetto; Michela Rogora; Silvia Arisci (2013)
  Trend analysis of atmospheric deposition data: A comparison of statistical approaches
  in Atmospheric environment (1994); Elsevier, Amsterdam (Paesi Bassi)
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Aldo Marchetto; Michela Rogora; Silvia Arisci (literal)

Pagina inizio

• 95 (literal)

Pagina fine

• 102 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 64 (literal)

Rivista

• Atmospheric environment (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 8 (literal)

Note

• ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• CNR ISE Verbania Pallanza (literal)

Titolo

• Trend analysis of atmospheric deposition data: A comparison of statistical approaches (literal)

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. (literal)

Editore

• Elsevier (Editore)

Prodotto di

• Ecologia teorica e applicata degli ecosistemi acquatici (TA.P04.016.004) (Modulo)
• Istituto per lo studio degli ecosistemi (ISE) (Istituto)

Autore CNR

• MICHELA ROGORA (Unità di personale interno)
• ALDO MARCHETTO (Unità di personale interno)

Insieme di parole chiave

• Keywords of "Trend analysis of atmospheric deposition data: A comparison of statistical approaches" (Insieme di parole chiave)

Incoming links:

Autore CNR di

• ALDO MARCHETTO (Unità di personale interno)
• MICHELA ROGORA (Unità di personale interno)

Prodotto

• Istituto per lo studio degli ecosistemi (ISE) (Istituto)
• Ecologia teorica e applicata degli ecosistemi acquatici (TA.P04.016.004) (Modulo)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Atmospheric environment (Rivista)

Editore di

• Elsevier (Editore)

Insieme di parole chiave di

• Keywords of "Trend analysis of atmospheric deposition data: A comparison of statistical approaches" (Insieme di parole chiave)