Open AccessAn analysis of air pollution at some industrial areas of Kano using the AERMOD Model
Author(s) -
Maryam Idris,
T.H. Darma,
F.S. Koki,
Aminu Suleiman,
Mahboob Ali,
S.U. Yarima,
Abubakar Sadiq Aliyu
Publication year - 2020
Publication title -
bayero journal of pure and applied sciences
Language(s) - English
Resource type - Journals
ISSN - 2006-6996
DOI - 10.4314/bajopas.v12i1.20s
Subject(s) - aermod , environmental science , air quality index , air pollution , pollution , atmospheric dispersion modeling , meteorology , environmental engineering , geography , ecology , chemistry , organic chemistry , biology
The effect of pollution on air quality has been a concern for mankind for a long time. In some cases the problem is essentially one of local emissions in a given urban area leading to an adverse effect on air quality in that same area. However, in the general case, the problem is more diverse in that the problem of air pollution has multiplicity effects beyond the point source and these effects are dynamic in nature. Such effects are usually evaluated using dynamical equations. In this study, a comprehensive review on effect of air polluting variables was described on the basis of evaluation of formulation equations of the American Meteorological Society and U.S. Environmental protection Agency Regulatory Model (AERMOD view 9.6.5). The AERMOD model was also used to simulate the dispersion and deposition of the hourly and daily H2S and NO2 concentrations from two domains: Challawa and Sharada industrial estates /areas respectively. The AERMOD model evaluation showed that there was good correlation between the modelled and observed H2S concentration for the daily and hourly comparison at Challawa (0.53 and 0.91 respectively) but the daily and hourly comparison of H2S at Sharada (0.13 and 0.46 respectively) was seen to drop indicating poor correlation and model skill. However, model evaluation of NO2 shows poor agreements and model skill at Challawa as well as daily comparison at Sharada. However, the modelling shows good agreement (R2= 0.64) in the trend for the hourly value modelled versus observed concentrations at Sharada. Moreover, the mean absolute percentage error (MAPE) for the two pollutants (H2S and NO2) at all the two domains indicates highly accurate result for both daily and hourly concentrations. AERMOD software can therefore be used to estimate the dispersion and deposition of the pollutants at some domains considered in this study.
Key Words: AERMOD model, Air pollutant, Industrial sources, Dispersion and Deposition