Volume 2, Issue 1 And 2 (Winter,Spring 2013)                   J Occup Health Epidemiol 2013, 2(1 And 2): 1-11 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Taghizadeh R, Zare M, Zare S. Mapping of noise pollution by different interpolation methods in recovery section of Ghandi telecommunication Cables Company. J Occup Health Epidemiol 2013; 2 (1 and 2) :1-11
URL: http://johe.rums.ac.ir/article-1-65-en.html

Related article in
Google Scholar

1- Faculty of Agriculture and Natural Resources, University of Ardakan, Ardakan, Iran. , rh_taghizade@yahoo.com
2- LUNAM Université, Universitéd’Angers, Laboratoired’ergonomieetd’épidémiologie en santé au travail (LEEST), Angers, France.
3- Dept of Electrical Engineering, National Iranian Oil Company (NIOC), Yazd, Iran.
Article history
Received: 2013/09/1
Accepted: 2014/02/2
ePublished: 2014/02/2
Abstract:   (27881 Views)

  Background : Noise pollution and workers' noise exposure are common in industrial factories in Iran. In order to reduce this noise pollution, evaluation and investigation of noise emission are both necessary. In this study, different noise mapping methodsare used for determining the distribution of noise.

  Materials and Methods : In the present study, for preparing a noise map in a hall of an industrial factory, sampling was carried out in 6×6 m grid. After data normalization the variogram was developed. For interpolation of mentioned parameter, kriging and Inverse Distance Weighting methods were used. The best model for interpolation was selected by cross validation and error evaluation methods, such as Route Mean Square Error (RMSE).

  Results : The results showed that kriging method is better than other methods for prediction of noise property. The noise map was prepared, using the best interpolation method in Geographical Information System environment.

  Conclusion : Workers in this industrial hall were exposed to noise which is mainly induced by noisy machines. Noise maps which were produced in this study showed the distribution of noise and, also revealed that workers suffer from serious noise pollution.

Full-Text [PDF 631 kb]   |   Full Text (HTML)   (4950 Downloads)    

Add your comments about this article : Your username or Email:

Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Journal of Occupational Health and Epidemiology

Designed & Developed by : Yektaweb