Multiannual assessment of the desert dust impact on air quality in Italy combining PM10 data with physics-based and geostatistical models. (May 2022)
- Record Type:
- Journal Article
- Title:
- Multiannual assessment of the desert dust impact on air quality in Italy combining PM10 data with physics-based and geostatistical models. (May 2022)
- Main Title:
- Multiannual assessment of the desert dust impact on air quality in Italy combining PM10 data with physics-based and geostatistical models
- Authors:
- Barnaba, Francesca
Alvan Romero, Nancy
Bolignano, Andrea
Basart, Sara
Renzi, Matteo
Stafoggia, Massimo - Abstract:
- Graphical abstract: Highlights: We quantify the impact of desert dust on particulate matter air quality over Italy. We derive a multiannual dataset of desert dust-PM10 values resolved by site and day. In Italy desert dust contributes to exceed PM10 limit values fixed by EU and WHO. Random forest modelling is used to obtain a spatially continuous dust-PM10 field. Geostatistical model outcomes will serve as a basis to study dust impact on health. Abstract: Desert dust storms pose real threats to air quality and health of millions of people in source regions, with associated impacts extending to downwind areas. Europe (EU) is frequently affected by atmospheric transport of desert dust from the Northern Africa and Middle East drylands. This investigation aims at quantifying the role of desert dust transport events on air quality (AQ) over Italy, which is among the EU countries most impacted by this phenomenon. We focus on the particulate matter (PM) metrics regulated by the EU AQ Directive. In particular, we use multiannual (2006–2012) PM10 records collected in hundreds monitoring sites within the national AQ network to quantify daily and annual contributions of dust during transport episodes. The methodology followed was built on specific European Commission guidelines released to evaluate the natural contributions to the measured PM-levels, and was partially modified, tested and adapted to the Italian case in a previous study. Overall, we show that impact of dust on the yearlyGraphical abstract: Highlights: We quantify the impact of desert dust on particulate matter air quality over Italy. We derive a multiannual dataset of desert dust-PM10 values resolved by site and day. In Italy desert dust contributes to exceed PM10 limit values fixed by EU and WHO. Random forest modelling is used to obtain a spatially continuous dust-PM10 field. Geostatistical model outcomes will serve as a basis to study dust impact on health. Abstract: Desert dust storms pose real threats to air quality and health of millions of people in source regions, with associated impacts extending to downwind areas. Europe (EU) is frequently affected by atmospheric transport of desert dust from the Northern Africa and Middle East drylands. This investigation aims at quantifying the role of desert dust transport events on air quality (AQ) over Italy, which is among the EU countries most impacted by this phenomenon. We focus on the particulate matter (PM) metrics regulated by the EU AQ Directive. In particular, we use multiannual (2006–2012) PM10 records collected in hundreds monitoring sites within the national AQ network to quantify daily and annual contributions of dust during transport episodes. The methodology followed was built on specific European Commission guidelines released to evaluate the natural contributions to the measured PM-levels, and was partially modified, tested and adapted to the Italian case in a previous study. Overall, we show that impact of dust on the yearly average PM10 has a clear latitudinal gradient (from less than 1 to greater than 10 µg/m 3 going from north to south Italy), this feature being mainly driven by an increased number of dust episodes per year with decreasing latitude. Conversely, the daily-average dust-PM10 (≅12 µg/m 3 ) is more homogenous over the country and shown to be mainly influenced by the site type, with enhanced values in more urbanized locations. This study also combines the PM10 measurements-approach with geostatistical modelling. In particular, exploiting the dust-PM10 dataset obtained at site- and daily-resolution over Italy, a geostatistical, random-forest model was set up to derive a daily, spatially-continuous field of desert-dust PM10 at high (1-km) resolution. This finely resolved information represent the basis for a follow up investigation of both acute and chronic health effects of desert dust over Italy, stemming from daily and annual exposures, respectively. … (more)
- Is Part Of:
- Environment international. Volume 163(2022)
- Journal:
- Environment international
- Issue:
- Volume 163(2022)
- Issue Display:
- Volume 163, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 163
- Issue:
- 2022
- Issue Sort Value:
- 2022-0163-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-05
- Subjects:
- Desert dust -- Air quality -- Particulate matter -- PM10 -- Italy
Environmental protection -- Periodicals
Environmental health -- Periodicals
Environmental monitoring -- Periodicals
Environmental Monitoring -- Periodicals
Environnement -- Protection -- Périodiques
Hygiène du milieu -- Périodiques
Environnement -- Surveillance -- Périodiques
Environmental health
Environmental monitoring
Environmental protection
Periodicals
333.705 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01604120 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.envint.2022.107204 ↗
- Languages:
- English
- ISSNs:
- 0160-4120
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3791.330000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21500.xml