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Istituto sull'inquinamento atmosferico

Torna all'elenco Contributi in rivista anno 2015

Contributo in rivista

Tipo: Articolo in rivista

Titolo: Data quality through a web-based QA/QC system: implementation for atmospheric mercury data from the global mercury observation system

Anno di pubblicazione: 2015

Formato: Elettronico

Autori: D'Amore, Francesco; Bencardino, Mariantonia; Cinnirella, Sergio; Sprovieri, Francesca; Pirrone, Nicola

Affiliazioni autori: Array; Array

Autori CNR:

  • MARIANTONIA BENCARDINO
  • SERGIO CINNIRELLA
  • FRANCESCO D'AMORE
  • NICOLA PIRRONE
  • FRANCESCA SPROVIERI

Lingua: inglese

Abstract: The overall goal of the on-going Global Mercury Observation System (GMOS) project is to develop a coordinated global monitoring network for mercury, including ground-based, high altitude and sea level stations. In order to ensure data reliability and comparability, a significant effort has been made to implement a centralized system, which is designed to quality assure and quality control atmospheric mercury datasets. This system, GMOS-Data Quality Management (G-DQM), uses a web-based approach with real-time adaptive monitoring procedures aimed at preventing the production of poor-quality data. G-DQM is plugged on a cyberinfrastructure and deployed as a service. Atmospheric mercury datasets, produced during the first-three years of the GMOS project, are used as the input to demonstrate the application of the G-DQM and how it identifies a number of key issues concerning data quality. The major issues influencing data quality are presented and discussed for the GMOS stations under study. Atmospheric mercury data collected at the Longobucco (Italy) station is used as a detailed case study.

Lingua abstract: inglese

Pagine da: 1482

Pagine a: 1491

Pagine totali: 10

Rivista:

Environmental science--processes & impacts. Royal Society of Chemistry
Paese di pubblicazione: Regno Unito
Lingua: inglese
ISSN: 2050-7887

Numero volume: 17

Numero fascicolo: 8

DOI: 10.1039/c5em00205b

Stato della pubblicazione: Published version

Indicizzato da: ISI Web of Science (WOS) [000359127800015]

Parole chiave:

  • Data quality
  • QA/QC
  • atmospheric
  • mercury
  • data
  • global mercury observation system

Strutture CNR:

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