Spatial distribution of health risks associated with PM2.5 in Turkey and Iran using satellite and ground observations

Ezgi Akyuz, Mehrdad Samavati, Burcak Kaynak*

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: ???type-name???Makalebilirkişi

7 Atıf (Scopus)

Özet

PM2.5 originated from anthropogenic or natural sources is still a problem worldwide and highly associated with health impacts. In this study, mortality associated with PM2.5 was calculated using satellite retrievals and ground observations for Turkey and Iran. A high-resolution population dataset along with high resolution satellite-derived PM2.5 estimations (all compositions and dust and sea-salt removed) developed from aerosol optical depth (AOD) data were used. Health risk estimations attributable to PM2.5 from ischemic heart disease and lung cancer along with all causes were calculated by applying the cause-specific mortality rates for Turkey and Iran for the year 2016. According to dust and sea-salt removed satellite-derived PM2.5, mortality estimations of 36967 in Turkey and 34491 in Iran were estimated by all causes. Meanwhile, estimations of 40583 in Turkey and 34153 in Iran were found using ground PM2.5 observations for provinces with monitoring stations. Province-based estimations were obtained with better spatially resolved PM2.5 concentrations. Estimations using ground observations were higher than ones using satellite-derived PM2.5 for Turkey, but similar for Iran, even without national coverage. However, estimations with all composition satellite-based PM2.5 were significantly higher in Iran than Turkey. Values estimated in this study were found to be higher than global studies for both countries.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)2350-2360
Sayfa sayısı11
DergiAtmospheric Pollution Research
Hacim11
Basın numarası12
DOI'lar
Yayın durumuYayınlandı - Ara 2020

Bibliyografik not

Publisher Copyright:
© 2020

Finansman

We would like to thank A. van Donkelaar, and R. V. Martin for Satellite-Derived PM2.5 Dataset and SEDAC for Gridded Population of the World (GPW) Dataset.

FinansörlerFinansör numarası
SEDAC

    Parmak izi

    Spatial distribution of health risks associated with PM2.5 in Turkey and Iran using satellite and ground observations' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.

    Alıntı Yap