Annual and seasonal spatial models for nitrogen oxides in Tehran, Iran
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 3609316
Author(s) Amini, Heresh; Taghavi-Shahri, Seyed-Mahmood; Henderson, Sarah B.; Hosseini, Vahid; Hassankhany, Hossein; Naderi, Maryam; Ahadi, Solmaz; Schindler, Christian; Künzli, Nino; Yunesian, Masud
Author(s) at UniBasel Amini, Heresh
Schindler, Christian
Künzli, Nino
Year 2016
Title Annual and seasonal spatial models for nitrogen oxides in Tehran, Iran
Journal Scientific Reports
Volume 6
Pages / Article-Number 32970
Abstract Very few land use regression (LUR) models have been developed for megacities in low- and middle-income countries, but such models are needed to facilitate epidemiologic research on air pollution. We developed annual and seasonal LUR models for ambient oxides of nitrogen (NO, NO2, and NOX) in the Middle Eastern city of Tehran, Iran, using 2010 data from 23 fixed monitoring stations. A novel systematic algorithm was developed for spatial modeling. The R(2) values for the LUR models ranged from 0.69 to 0.78 for NO, 0.64 to 0.75 for NO2, and 0.61 to 0.79 for NOx. The most predictive variables were: distance to the traffic access control zone; distance to primary schools; green space; official areas; bridges; and slope. The annual average concentrations of all pollutants were high, approaching those reported for megacities in Asia. At 1000 randomly-selected locations the correlations between cooler and warmer season estimates were 0.64 for NO, 0.58 for NOX, and 0.30 for NO2. Seasonal differences in spatial patterns of pollution are likely driven by differences in source contributions and meteorology. These models provide a basis for understanding long-term exposures and chronic health effects of air pollution in Tehran, where such research has been limited.
Publisher Nature Publishing Group
ISSN/ISBN 2045-2322
edoc-URL http://edoc.unibas.ch/44182/
Full Text on edoc No
Digital Object Identifier DOI 10.1038/srep32970
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/27622593
ISI-Number WOS:000382928500001
Document type (ISI) Journal Article
 
   

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