Applying land use regression model to estimate spatial variation of PM2.5 in Beijing, China-Reference-Cited by-同舟云学术

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Applying land use regression model to estimate spatial variation of PM2.5 in Beijing, China

Published:2014-12-10 Issue:9 Volume:22 Page:7045-7061
ISSN:0944-1344
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Wu Jiansheng,Li Jiacheng,Peng Jian,Li Weifeng,Xu Guang,Dong Chengcheng

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s11356-014-3893-5.pdf

Reference77 articles.

1. Abernethy RC, Allen RW, McKendry IG, Brauer M (2013) A land use regression model for ultrafine particles in Vancouver, Canada. Environ Sci Technol 47:5217–5225

2. Adam-Poupart A, Brand A, Fournier M, Jerrett M, Smargiassi A (2014) Spatiotemporal modeling of ozone levels in Quebec (Canada): a comparison of kriging, land-use regression (LUR), and combined Bayesian maximum entropy-LUR approaches. Environ Health Perspect 122:970–976

3. Allen RW, Gombojav E, Barkhasragchaa B, Byambaa T, Lkhasuren O, Amram O, Takaro TK, Janes CR (2013) An assessment of air pollution and its attributable mortality in Ulaanbaatar, Mongolia. Air Qual Atmos Health 6:137–150

4. 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. Sci Total Environ 488:343–353

5. Anderson JO, Thundiyil JG, Stolbach A (2012) Clearing the air: a review of the effects of particulate matter air pollution on human health. J Med Toxicol 8:166–175

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