Land use regression models to estimate the annual and seasonal spatial variability of sulfur dioxide and particulate matter in Tehran, Iran

Research output: Contribution to journalJournal articlepeer-review

Standard

Land use regression models to estimate the annual and seasonal spatial variability of sulfur dioxide and particulate matter in Tehran, Iran. / Amini, Hassan; Taghavi-Shahri, Seyed Mahmood; Henderson, Sarah B.; Naddafi, Kazem; Nabizadeh, Ramin; Yunesian, Masud.

In: Science of the Total Environment, 2014.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Amini, H, Taghavi-Shahri, SM, Henderson, SB, Naddafi, K, Nabizadeh, R & Yunesian, M 2014, 'Land use regression models to estimate the annual and seasonal spatial variability of sulfur dioxide and particulate matter in Tehran, Iran', Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2014.04.106

APA

Amini, H., Taghavi-Shahri, S. M., Henderson, S. B., Naddafi, K., Nabizadeh, R., & Yunesian, M. (2014). Land use regression models to estimate the annual and seasonal spatial variability of sulfur dioxide and particulate matter in Tehran, Iran. Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2014.04.106

Vancouver

Amini H, Taghavi-Shahri SM, Henderson SB, Naddafi K, Nabizadeh R, Yunesian M. Land use regression models to estimate the annual and seasonal spatial variability of sulfur dioxide and particulate matter in Tehran, Iran. Science of the Total Environment. 2014. https://doi.org/10.1016/j.scitotenv.2014.04.106

Author

Amini, Hassan ; Taghavi-Shahri, Seyed Mahmood ; Henderson, Sarah B. ; Naddafi, Kazem ; Nabizadeh, Ramin ; Yunesian, Masud. / Land use regression models to estimate the annual and seasonal spatial variability of sulfur dioxide and particulate matter in Tehran, Iran. In: Science of the Total Environment. 2014.

Bibtex

@article{a54ab448c5bd4e09a45bc76ae0ba4aba,
title = "Land use regression models to estimate the annual and seasonal spatial variability of sulfur dioxide and particulate matter in Tehran, Iran",
author = "Hassan Amini and Taghavi-Shahri, {Seyed Mahmood} and Henderson, {Sarah B.} and Kazem Naddafi and Ramin Nabizadeh and Masud Yunesian",
year = "2014",
doi = "10.1016/j.scitotenv.2014.04.106",
language = "English",
journal = "Science of the Total Environment",
issn = "0048-9697",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Land use regression models to estimate the annual and seasonal spatial variability of sulfur dioxide and particulate matter in Tehran, Iran

AU - Amini, Hassan

AU - Taghavi-Shahri, Seyed Mahmood

AU - Henderson, Sarah B.

AU - Naddafi, Kazem

AU - Nabizadeh, Ramin

AU - Yunesian, Masud

PY - 2014

Y1 - 2014

U2 - 10.1016/j.scitotenv.2014.04.106

DO - 10.1016/j.scitotenv.2014.04.106

M3 - Journal article

JO - Science of the Total Environment

JF - Science of the Total Environment

SN - 0048-9697

ER -

ID: 310511069