Tracing natural, anthropogenic, and biomass burning contributions to Arctic aerosol combining daily chemical characterization and receptor modeling analysis

Daily PM 10 samples were collected at Ny Ålesund (Svalbard Islands, Norway) from February to October 2015 and analyzed using a multi-technique approach, including ion chromatography (IC), Inductively Coupled Plasma Mass Spectrometry (ICP-MS), Particle Induced X-ray Emission (PIXE), and thermo-optical analysis (TOA). This dataset allowed for the characterization of a wide range of chemical species, including major ions, organic and elemental carbon, and over 40 elements, despite the extremely low atmospheric concentrations typical of this remote Arctic site (daily PM 10 rarely exceeded 6 μg m −3 , with an overall maximum of 16 μg m −3 ). The high temporal resolution and the large number of samples allowed the investigation of seasonal patterns and the identification of aerosol sources using the Positive Matrix Factorization (PMF) receptor model and the Potential Source Contribution Function (PSCF) to analyze of the back-trajectories. Seven distinct sources were identified: biogenic, sulphate, sea salt, combustion, nitrate, crustal, and anthropogenic. It was seen that the sampling site is mainly affected by the local natural sources; marine biogenic emissions show a strong seasonal signal linked to sunlight availability; anthropogenic sources, although less frequent, were significant during the Arctic Haze period and included long-range transported pollution from lower latitudes and the formation of secondary aerosols; episodic but intense contributions from biomass burning originating from wildfires in North America or Siberia occasionally became the dominant component of Arctic aerosol. These findings highlight the complex interplay between local natural emissions and long-range transported pollution in shaping the Arctic aerosol composition. • Natural PM 10 sources dominated; sea salt and crustal dust lacked seasonality. • Arctic Haze drove anthropogenic peaks, especially during spring. • Marine biogenic sources were seasonal, linked to three distinct sea regions. • Biomass burning events caused peaks and may affect Arctic climate.

Authors

Institutions

Publication Details

Journal
Atmospheric Environment X
Published
2025-10-28
DOI
https://doi.org/10.1016/j.aeaoa.2025.100388
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Tracing natural, anthropogenic, and biomass burning contributions to Arctic aerosol combining daily chemical characterization and receptor modeling analysis

Stefano Crocchianti, Cosimo Fratticioli, S. Nava, Rita Traversi et al.
Atmospheric Environment X
Atmospheric chemistry and aerosols
article

Tracing natural, anthropogenic, and biomass burning contributions to Arctic aerosol combining daily chemical characterization and receptor modeling analysis

Stefano Crocchianti, Cosimo Fratticioli, S. Nava, Rita Traversi, Giulia Calzolai, M. Chiari, Silvia Becagli, Laura Caiazzo, David Cappelletti, F. Lucarelli, Mirko Severi, Fabio Giardi
article en

Abstract

Daily PM 10 samples were collected at Ny Ålesund (Svalbard Islands, Norway) from February to October 2015 and analyzed using a multi-technique approach, including ion chromatography (IC), Inductively Coupled Plasma Mass Spectrometry (ICP-MS), Particle Induced X-ray Emission (PIXE), and thermo-optical analysis (TOA). This dataset allowed for the characterization of a wide range of chemical species, including major ions, organic and elemental carbon, and over 40 elements, despite the extremely low atmospheric concentrations typical of this remote Arctic site (daily PM 10 rarely exceeded 6 μg m −3 , with an overall maximum of 16 μg m −3 ). The high temporal resolution and the large number of samples allowed the investigation of seasonal patterns and the identification of aerosol sources using the Positive Matrix Factorization (PMF) receptor model and the Potential Source Contribution Function (PSCF) to analyze of the back-trajectories. Seven distinct sources were identified: biogenic, sulphate, sea salt, combustion, nitrate, crustal, and anthropogenic. It was seen that the sampling site is mainly affected by the local natural sources; marine biogenic emissions show a strong seasonal signal linked to sunlight availability; anthropogenic sources, although less frequent, were significant during the Arctic Haze period and included long-range transported pollution from lower latitudes and the formation of secondary aerosols; episodic but intense contributions from biomass burning originating from wildfires in North America or Siberia occasionally became the dominant component of Arctic aerosol. These findings highlight the complex interplay between local natural emissions and long-range transported pollution in shaping the Arctic aerosol composition. • Natural PM 10 sources dominated; sea salt and crustal dust lacked seasonality. • Arctic Haze drove anthropogenic peaks, especially during spring. • Marine biogenic sources were seasonal, linked to three distinct sea regions. • Biomass burning events caused peaks and may affect Arctic climate.

Atmospheric Environment XVol. 28
National Agency for New Technologies, Energy and Sustainable Economic Development (IT), University of Perugia (IT), Nello Carrara Institute of Applied Physics (IT), Institute of Atmospheric Pollution Research (IT), University of Florence (IT)
Openalex Percentile: Top 63%
Atmospheric chemistry and aerosols
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.