Locally weighted total least-squares variance component estimation for modeling urban air pollution
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10661-022-10499-6.pdf
Reference44 articles.
1. Almetwally, A. A., Bin-Jumah, M., & Allam, A. A. (2020). Ambient air pollution and its influence on human health and welfare: An overview. Environmental Science and Pollution Research, 27(20), 24815–24830.
2. 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, 488, 343–353.
3. Amiri-Simkooei, A., & Jazaeri, S. (2012). Weighted total least squares formulated by standard least squares theory. Journal of Geodetic Science, 2(2), 113–124.
4. Amiri-Simkooei, A., Zangeneh-Nejad, F., & Asgari, J. (2013). Least-squares variance component estimation applied to GPS geometry-based observation model. Journal of Surveying Engineering, 139(4), 176–187.
5. Atkinson, R. W., Fuller, G. W., Anderson, H. R., Harrison, R. M., & Armstrong, B. (2010). Urban ambient particle metrics and health: A time-series analysis. Epidemiology, 501–511.
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