On the predictability of short-lived particulate matter around a cement plant in Kerman, Iran: machine learning analysis

Author:

Borhani F.,Shafiepour Motlagh M.,Ehsani A. H.,Rashidi Y.,Maddah S.,Mousavi S. M.

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences,Environmental Chemistry,Environmental Engineering

Reference64 articles.

1. Abu-Allaban M, Abu-Qudais H (2011) Impact assessment of ambient air quality by cement industry: a case study in Jordan. Aerosol Air Qual Res 11(7):802–810. https://doi.org/10.4209/aaqr.2011.07.0090

2. Aghamolaie I, Lashkaripour GR, Ghafoori M (2015) Assessment of air pollution from cement industry. Iran Occupational Health 12(2):9–92. http://ioh.iums.ac.ir/article-1-1314-en.html

3. Agrawal M, Khanam N (1997) Variations in concentrations of particulate matter around a cement factory. Indian J Environ Health 39(2):97–102

4. Agrawal KP, Garg S, Sharma S, Patel P, Bhatnagar A (2017) Fusion of statistical and machine learning approaches for time series prediction using earth observation data. Int J Comput Sci Eng 14(3):255–266. https://doi.org/10.1504/IJCSE.2017.084159

5. Ahmad W, Nisa S, Mohammad N, Hussain RAHIB (2013) Assessment of particulate matter (PM10 & PM2.5) and associated health problems in different areas of cement industry, Hattar, Haripur. J Sci Technol 37:7–15

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