Air pollution control and management
1. Machine learning algorithms in air quality modeling

A. Masih

Articles in Press, Accepted Manuscript, Available Online from 17 July 2019

http://dx.doi.org/10.22034/GJESM.2019.04.10

Abstract
  Modern studies in the field of environment science and engineering show that deterministic models struggle to capture the relationship between the concentration of atmospheric pollutants and their emission sources. The recent advances in statistical modeling based on machine learning approaches have ...  Read More

Air pollution control and management
2. The relationships between meteorological parameters and air pollutants in an urban environment

I. Kayes; S.A. Shahriar; K. Hasan; M. Akhter; M.M. Kabir; M.A. Salam

Volume 5, Issue 3 , Summer 2019, , Pages 265-278

http://dx.doi.org/10.22034/GJESM.2019.03.01

Abstract
  Meteorological parameters play a significant role in affecting ambient air quality of an urban environment. As Dhaka, the capital city of Bangladesh, is one of the air pollution hotspot among the megacities in the world, however the potential meteorological influences on criteria air pollutants for this ...  Read More

Air pollution control and management
3. Exposure to indoor and outdoor air pollution among children under five years old in urban area

A.K.R. Kouao; E.T. N’datchoh; V. Yoboue; S. Silue; H. Attoh; M. Coulibaly; T. Robins

Volume 5, Issue 2 , Spring 2019, , Pages 191-202

http://dx.doi.org/10.22034/gjesm.2019.02.05

Abstract
  Indoor air pollution associated with cooking and heating biomass fuel burning is estimated to be responsible for 7 million deaths in 2016 and most of these deaths occur in low and middle income countries. In Côte d'Ivoire, 73% of the population is reported using biomass (charcoal or wood) for cooking. ...  Read More

Air pollution control and management
4. Statistical trend analysis and forecast modeling of air pollutants

A. Jaiswal; C. Samuel; V.M. Kadabgaon

Volume 4, Issue 4 , Autumn 2018, , Pages 427-438

http://dx.doi.org/10.22034/gjesm.2018.04.004

Abstract
  The study provides a statistical trend analysis of different air pollutants using Mann-Kendall and Sen’s slope estimator approach on past pollutants statistics from air quality index station of Varanasi, India. Further, using autoregressive integrated moving average model, future values of air ...  Read More

Air pollution control and management
5. Atmospheric dispersion model to predict the impact of gaseous pollutant in an industrial and mining cluster

D.S. Kumar; S.H. Bhushan; D.A. Kishore

Volume 4, Issue 3 , Summer 2018, , Pages 351-358

http://dx.doi.org/10.22034/GJESM.2018.03.008

Abstract
  Dispersion modeling approach was applied for the determination of SO2 and NO2 pollution in the ambient air. The model performance has been evaluated by comparing the measured and predicted concentrations of SO2 and NO2. This has been tested to measure the air quality and predicted incremental value of ...  Read More

Air pollution control and management
6. Artificial neural network forecast application for fine particulate matter concentration using meteorological data

M. Memarianfard; A.M. Hatami; M. Memarianfard

Volume 3, Issue 3 , Summer 2017, , Pages 333-340

http://dx.doi.org/10.22034/gjesm.2017.03.03.010

Abstract
  Most parts of the urban areas are faced with the problem of floating fine particulate matter. Therefore, it is crucial to estimate the amounts of fine particulate matter concentrations through the urban atmosphere. In this research, an artificial neural network technique was utilized to model the PM2.5 ...  Read More

Air pollution control and management
7. Integrated environmental management model of air pollution control by hybrid model of DPSIR and FAHP

M.J. Mohammadizadeh; A.R. Karbassi; Gh.R. Nabi Bidhendi; M. Abbaspour

Volume 2, Issue 4 , Autumn 2016, , Pages 381-388

http://dx.doi.org/10.22034/gjesm.2016.02.04.007

Abstract
  The aim of this study is to evaluate the obstacles due to a DPSIR model combined with fuzzy analytic hierarchy process technique. Hence, to prioritize the responses regarding the driving forces, pressures, states and impacts, the hierarchy of the model is established. Evaluations and prioritization of ...  Read More

Air pollution control and management
8. Decreasing emission factor of pollutants in an oil refinery by renovating the furnace design

A. Zabihi; M.R. Raazaitabari

Volume 2, Issue 3 , Summer 2016, , Pages 299-310

http://dx.doi.org/10.7508/gjesm.2016.03.009

Abstract
  The significant consumption of gas in the World results in the emission of greenhouse gases into atmosphere. Abadan refinery has always been the biggest and oldest oil refinery in the Middle East and has a variety of refined products. After six months of collecting data about pollutant concentration ...  Read More

Air pollution control and management
9. Effect of the Apulia air quality plan on PM10 and benzo(a)pyrene exceedances

L. Trizio; L. Angiuli; M. Menegotto; F. Fedele; R. Giua; F. Mazzone; A.G.C. Carducci; R. Bellotti; G. Assennato

Volume 2, Issue 2 , Spring 2016, , Pages 95-104

http://dx.doi.org/10.7508/gjesm.2016.02.001

Abstract
  During the last years, several exceedances of PM10 and benzo(a)pyrene limit values exceedances were recorded in Taranto, a city in southern Italy included in so-called areas at high risk of environmental crisis because of the presence of a heavy industrial district including the largest steel factory ...  Read More