<p>The atmospheric ventilation mechanism is a concept that explains the expansion and contraction of aerosol loading and unloading due to wind and thermal buoyancy (temperature differences). It controls pollutant reactivity to each other and detects the state of the overburden of pollutants that creates atmospheric instabilities. This concept finds huge importance in detecting climate change faster, providing information for policymaking, aiding meteorological forecasts and creating awareness for an improved public health. The aerosol optical depth dataset for 2010–2020 was obtained from the Monitoring Atmosphere Composition and Climate (MACC) reanalysis. Salient techniques such as percentage concentration, machine learning, and spatial interpolation were used to establish the concept of atmospheric ventilation mechanism. It was observed that the atmospheric ventilation mechanisms of some locations improved over time while it reduced at other locations. Also, the atmospheric ventilation mechanism can accommodate sudden increases in pollutants using the replacement technique during the state of overburden. The concept of atmospheric ventilation index (AVI) was discussed extensively as a very good data metric for policymakers to control pollution. It is recommended that more work on the AVI be extensively conducted to corroborate the popular air quality index.</p>

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Atmospheric ventilation mechanism and its extended implications to aerosol loading over selected parts of West Africa

  • M. E. Emetere

摘要

The atmospheric ventilation mechanism is a concept that explains the expansion and contraction of aerosol loading and unloading due to wind and thermal buoyancy (temperature differences). It controls pollutant reactivity to each other and detects the state of the overburden of pollutants that creates atmospheric instabilities. This concept finds huge importance in detecting climate change faster, providing information for policymaking, aiding meteorological forecasts and creating awareness for an improved public health. The aerosol optical depth dataset for 2010–2020 was obtained from the Monitoring Atmosphere Composition and Climate (MACC) reanalysis. Salient techniques such as percentage concentration, machine learning, and spatial interpolation were used to establish the concept of atmospheric ventilation mechanism. It was observed that the atmospheric ventilation mechanisms of some locations improved over time while it reduced at other locations. Also, the atmospheric ventilation mechanism can accommodate sudden increases in pollutants using the replacement technique during the state of overburden. The concept of atmospheric ventilation index (AVI) was discussed extensively as a very good data metric for policymakers to control pollution. It is recommended that more work on the AVI be extensively conducted to corroborate the popular air quality index.