Developing codes for validation of PM10, PM2.5, and O3 datasets using Rprogramming language
Introduction: The wide range of studies on air pollution requires accurate and reliable datasets. However, due to many reasons, the measured concentrations may be incomplete or biased. The development of an easy-to-use and reproducible exposure assessment method is required for researchers. Therefor...
Main Authors: | Ramin Nabizadeh Nodehi, Mostafa Hadei |
---|---|
Format: | Article |
Language: | English |
Published: |
Tehran University of Medical Sciences
2019-02-01
|
Series: | Journal of Air Pollution and Health |
Subjects: | |
Online Access: | https://japh.tums.ac.ir/index.php/japh/article/view/198 |
Similar Items
-
DISTRIBUTION AND NUMBER OF ISCHEMIC HEART DISEASE (IHD) AND STROKE DEATHS DUE TO CHRONIC EXPOSURE TO PM2.5 IN 10 CITIES OF IRAN (2013 - 2015); AN AIRQ+ MODELLING
by: Mostafa Hadei, et al.
Published: (2018-02-01) -
Investigating the performance of urban air quality monitoring station in measuring PM2.5 and PM10: A case study in Tehran, Iran
by: Zahra Aboosaedi, et al.
Published: (2023-10-01) -
Short-term PM2.5 and cardiovascular admissions in NY State: assessing sensitivity to exposure model choice
by: Mike Z. He, et al.
Published: (2021-08-01) -
Estimating the Acute Health Impacts of Fire‐Originated PM2.5 Exposure During the 2017 California Wildfires: Sensitivity to Choices of Inputs
by: Stephanie E. Cleland, et al.
Published: (2021-06-01) -
Short-term and long-term effects of exposure to PM10
by: Narges Seihei, et al.
Published: (2024-05-01)