Environmental Engineering
Remediation of ozone pollution by ornamental plants in indoor environment

P. Saxena; S. Sonwani

Volume 6, Issue 4 , October 2020, , Pages 497-508

https://doi.org/10.22034/gjesm.2020.04.06

Abstract
  The indoor air quality is much more matter of concern as relative to ambient or outdoor air quality, especially in the context of human health.  However, very few studies have been reported for remediation of indoor ozone by plant species. The main objective of this study is to evaluate ozone deposition ...  Read More

Environmental Management
Statistical evaluation of selected air quality parameters influenced by COVID-19 lockdown

M.H. Masum; S.K. Pal

Volume 6, Special Issue (Covid-19) , 2020, , Pages 85-94

https://doi.org/10.22034/GJESM.2019.06.SI.08

Abstract
  Air pollution has become a serious concern for its potential health hazard, however, often got less attention in developing countries, like Bangladesh. It is expected that worldwide lockdown due to COVID-19 widespread cause reduction in environmental pollution in particularly the air pollution: however, ...  Read More

Machine learning algorithms in air quality modeling

A. Masih

Volume 5, Issue 4 , October 2019, , Pages 515-534

https://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

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 , July 2019, , Pages 265-278

https://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

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 , April 2019, , Pages 191-202

https://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

Statistical trend analysis and forecast modeling of air pollutants

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

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

https://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

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 , July 2018, , Pages 351-358

https://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

Artificial neural network forecast application for fine particulate matter concentration using meteorological data

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

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

https://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

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 , December 2016, , Pages 381-388

https://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

Decreasing emission factor of pollutants in an oil refinery by renovating the furnace design

A. Zabihi; M.R. Raazaitabari

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

https://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

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 , April 2016, , Pages 95-104

https://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