Modeling the Regional Dynamics of Gaseous Admixtures and Aerosols in the Areas of Lake Baikal (Russia) and Antwerp (Belgium)

Aloyan, A. E.; Arutyunyan, V. O.; Yermakov, A. N.; Zagaynov, V. A.; Mensink, Clemens; Ridder, Koen De; Vel, K. Van de; Deutsch, Felix

doi:10.4209/aaqr.2011.11.0225

Cited by 9 publications

(5 citation statements)

References 31 publications

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“…The mono‐dispersion and poly‐dispersion flows were considered by incorporating the Aloyan model into Equations and (Aloyan et al. , ), i.e. making N = 2,

A = {\frac{1}{2} δ}_{j 3} w_{g}

, K 11 = K a , K 22 = K b , ψ 1 = ψ a , ψ 2 = ψ b , D 1 = D a and D 2 = D b .…”

Section: Methodsmentioning

confidence: 99%

Documentation of atmospheric constants over Niamey, Niger: a theoretical aid for measuring instruments

Emetere

Akinyemi

2017

Meteorological Applications

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The frequent failures of ground measuring devices, e.g. radiosondes, weather stations, in developing regions is worrisome. From the literature, established projects such as the Aerosol Robotic Network (AERONET) and the African Monsoon Multidisciplinary Analyses (AMMA) are burdened by the same challenge. At the moment, the AERONET and AMMA databases show a large volume of data loss. With only about 47% of data available to scientists, it is evident that accurate nowcasts or forecasts cannot be guaranteed. It is proposed that the challenge is not measuring device design error but systemic, i.e. the configuration of accurate calibration constants in the compact flash card of the devices. The calibration constants of most radiosonde or weather stations are not compatible with the atmospheric conditions of the West African climate. A dispersion model was developed to incorporate salient mathematical representations such as the unified number. The unified number was derived to describe the turbulence of aerosol transport in the frictional layer of the lower atmosphere. A 14 year dataset from the Multi-angle Imaging SpectroRadiometer was tested using the dispersion model. A yearly estimation of the atmospheric constants over Niamey using the model was obtained with about 87.5% accuracy. This further revealed that the average atmospheric constants for Niamey, Niger, are a 1 = 0.77975 and a 2 = 0.693021 and the tuning constants are n 1 = 0.140187 and n 2 = 0.759236. Also, the yearly atmospheric constants confirmed that the lower atmosphere of Niamey is very dynamic. Hence, it is recommended that radiosonde and weather station manufacturers should constantly review the atmospheric constants over a geographical location to enable about 80% data retrieval.

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“…The mono‐dispersion and poly‐dispersion flows were considered by incorporating the Aloyan model into Equations and (Aloyan et al. , ), i.e. making N = 2,

A = {\frac{1}{2} δ}_{j 3} w_{g}

, K 11 = K a , K 22 = K b , ψ 1 = ψ a , ψ 2 = ψ b , D 1 = D a and D 2 = D b .…”

Section: Methodsmentioning

confidence: 99%

Documentation of atmospheric constants over Niamey, Niger: a theoretical aid for measuring instruments

Emetere

Akinyemi

2017

Meteorological Applications

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“…To perform scenario calculations, zero deviations from basic state values for all meteorological fields are taken as initial conditions for (1)- (8). The conditions on the boundary Ω t of the domain D t are as follows:…”

Section: The Modelmentioning

confidence: 99%

Simulation of atmospheric dynamics and air quality in the Baikal region

Pyanova

Penenko

Faleychik

2014

20th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics

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The results of scenario estimation of summer conditions for the formation of atmospheric circulations and transport of pollutants of natural and anthropogenic origin in the Baikal region atmosphere and over the Baikal water area are presented. Possible changes in air quality are studied with a mesoscale nonhydrostatic model of atmospheric dynamics and pollutant transport. The investigation has revealed some meteorological situations that are unfavorable for air quality in the Baikal region and over its water area.

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“…(10) to capture either the primary or secondary aerosol formation within an area. Aloyan et al, (2012) had described the change of concentrations of aerosol components for both advective transport (Eq. (13)) and turbulent mixing (Eq.…”

Section: Theory: the Concept Of The Aerosol Dispersion Plume Modelmentioning

confidence: 99%

Parametric retrieval model for estimating aerosol size distribution via the AERONET, LAGOS station

Emetere

Akinyemi

Akin-Ojo

2015

Environmental Pollution

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The size characteristics of atmospheric aerosol over the tropical region of Lagos, Southern Nigeria were investigated using two years of continuous spectral aerosol optical depth measurements via the AERONET station for four major bands i.e. blue, green, red and infrared. Lagos lies within the latitude of 6.465°N and longitude of 3.406°E. Few systems of dispersion model was derived upon specified conditions to solve challenges on aerosols size distribution within the Stokes regime. The dispersion model was adopted to derive an aerosol size distribution (ASD) model which is in perfect agreement with existing model. The parametric nature of the formulated ASD model shows the independence of each band to determine the ASD over an area. The turbulence flow of particulates over the area was analyzed using the unified number (Un). A comparative study via the aid of the Davis automatic weather station was carried out on the Reynolds number, Knudsen number and the Unified number. The Reynolds and Unified number were more accurate to describe the atmospheric fields of the location. The aerosols loading trend in January to March (JFM) and August to October (ASO) shows a yearly 15% retention of aerosols in the atmosphere. The effect of the yearly aerosol retention can be seen to partly influence the aerosol loadings between October and February.

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Modeling the Regional Dynamics of Gaseous Admixtures and Aerosols in the Areas of Lake Baikal (Russia) and Antwerp (Belgium)

Cited by 9 publications

References 31 publications

Documentation of atmospheric constants over Niamey, Niger: a theoretical aid for measuring instruments

Documentation of atmospheric constants over Niamey, Niger: a theoretical aid for measuring instruments

Simulation of atmospheric dynamics and air quality in the Baikal region

Parametric retrieval model for estimating aerosol size distribution via the AERONET, LAGOS station

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