An analysis of air pollution at some industrial areas of Kano using the AERMOD Model

Abstract

<jats:p>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.&#x0D; Key Words: AERMOD model, Air pollutant, Industrial sources, Dispersion and Deposition</jats:p>

Visualising Urban Air Quality Using Aermod, Calpuff and CFD Models: A Critical Review

“…AERMOD is utilized for modelling atmospheric dispersion using Gaussian plume distribution (Idris et al, 2019). It was developed in the 1990s by United States Environment Protection Agency (US EPA) Regulatory Model Improvement Committee to generate a model that is similar to ISC3 (Industrial Source Complex Model) with additional concept of planetary boundary layer (PLC) in order to implement atmospheric stability characterization to the model.…”

“…Figure above shows elements that are needed in performing modelling by using AERMOD. According to Idris et al (2019), there are two preprocessors involved namely AERMET and AERMAP. AERMET is used to calculate parameter of boundary layer (important in estimating profiles of wind, turbulence and temperature) with the help of acquired meteorological data.…”

Monitoring Nitrogen Dioxide (NO2) in Environment of Ukraine based on Satellite Data

“…It was noted that, with the introduction of available technologies, effective waste-gas treatment plants and strict control over harmful substances (particularly NO 2 ) significantly decreased the concentrations of pollutants [2]. The analysis of air pollution in some industrial areas that was calculated using AERMOD allowed us to obtain a high-precision result of both daily and hourly NO 2 concentrations [3]. Researchers have developed a system of monitoring industrial air pollution to increase safety and health as well as stable working environments using the QFD approach for improving it [4].…”