New 'Smart' Systems for Atmospheric Aerosol and Reactive Gas Sampling in Ambient Air

Bibliographic Details
Title: New 'Smart' Systems for Atmospheric Aerosol and Reactive Gas Sampling in Ambient Air
Authors: Paolo Cristofanelli, Maurizio Busetto, Enrico Ronchi, Paolo Miatto, Angela Marinoni, Francescopiero Calzolari, Paolo Bonasoni, Luca A. Tagliafico
Source: Sensors, Vol 18, Iss 11, p 3602 (2018)
Publisher Information: MDPI AG, 2018.
Publication Year: 2018
Collection: LCC:Chemical technology
Subject Terms: reactive gases, atmospheric aerosol, air sampling, smart technologies, Chemical technology, TP1-1185
More Details: Nowadays a recognized need for accurate observations of atmospheric aerosols (AEs) and reactive gases (RGs) exists in the framework of regional, national and global near-surface networks based on permanent or mobile measurement stations. In this context, a paramount and not-trivial issue is related to the correct execution of continuous sampling of ambient air and its subsequent distribution to measurement analyzers hosted inside the stations. Sampling artifacts must be minimized for obtaining reliable pictures of ambient air composition. To respond to this need, a suite of novel “smart„ and relatively low-cost systems for the continuous sampling of ambient air was developed in the framework of the 2012⁻2015 I-AMICA Project. These systems were designed to execute AE and RG measurements according with WMO/GAW and ACTRIS recommendations and standard operation procedures. A particular attention was dedicated to the stabilization and control of the sampling flow rates and temperatures. The analysis of one full year of operations at the WMO/GAW regional station of Capo Granitola (GAW ID: CGR, Italy), allowed to conclude that these systems are effective in meeting the technical requirements for correct execution of AE and RG measurements.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1424-8220
Relation: https://www.mdpi.com/1424-8220/18/11/3602; https://doaj.org/toc/1424-8220
DOI: 10.3390/s18113602
Access URL: https://doaj.org/article/2b4e3169a1504f69adc86d6f4442b51e
Accession Number: edsdoj.2b4e3169a1504f69adc86d6f4442b51e
Database: Directory of Open Access Journals
Full text is not displayed to guests.
More Details
ISSN:14248220
DOI:10.3390/s18113602
Published in:Sensors
Language:English