A new modeling tool for the diffusion of gases in ice or amorphous binary mixture in the polar stratosphere and the upper troposphere

Varotsos, C.; Zellner, R.

doi:10.5194/acp-10-3099-2010

Cited by 34 publications

(7 citation statements)

References 64 publications

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“…Aerosol and gases produced by biomass burning also affect each other. Taking Ozone as an example; some researches found that the impact of aerosols on photolysis alone is to increase troposphere Ozone by 0.63 Dobson units (DUs) (Varotsos and Zellner, 2010). Small particulates have direct and indirect radiative effects on the climate and can affect human health when they are inhaled, causing respiratory problems.…”

Section: Introductionmentioning

confidence: 99%

Integration of remote sensing data and surface observations to estimate the impact of the Russian wildfires over Europe and Asia during August 2010

et al. 2011

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Abstract.A series of wildfires broke out in Western Russia starting in late July of 2010. Harmful particulates and gases released into the local Russian atmosphere have been reported, as have possible negative consequences for the global atmosphere. In this study, an extremely hazy area and its transport trajectory on Russian wildfires were analysed using aerosol optical depth (AOD) images retrieved via the synergy method from Moderate Resolution Imaging Spectroradiometer (MODIS) data. In addition, we used trace gases (NO 2 and SO 2 ) and CO 2 products measured using Ozone Monitoring Instrument (OMI) data, vertical distribution of AOD data retrieved from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) data, the mass trajectory analyses, synoptic maps from a HYSPLIT model simulation and ground-based data, including AERONET (both AOD andÅngström exponent) data and PM 2.5 . First, an Optimal Smoothing (OS) scheme was used to develop more precise and reliable AOD data based on multiple competing predictions made using several AOD retrieval models; then, integrated AOD and PM 2.5 data were related using a chemical Correspondence to: Y. Xue (yxue@irsa.ac.cn) transport model (GEOS-Chem), and the integrated AOD and visibility data were related using the 6S radiative transfer code. The results show that the PM 2.5 concentration is enhanced by a factor of 3-5 as determined from both satellite and in situ observations with peak daily mean concentrations of approximately 500 µg m 3 . Also, the visibility in many parts of Russia, for instance in Moscow, was less than 100 m; in some areas, the visibility was less than 50 m. Additionally, the possible impact on neighbouring countries due to long-transport was analysed for 31 July and 15 August 2010.

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Section: Introductionmentioning

confidence: 99%

Integration of remote sensing data and surface observations to estimate the impact of the Russian wildfires over Europe and Asia during August 2010

et al. 2011

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“…In the following years, many experimental studies were carried out using infrared laser resonant desorption (LRD) techniques to calculate diffusion coefficients in ice film [49][50][51][52][53][54][55]. The results from these studies confirmed the linear relationship between lnD and 1/T [56]. This result clearly suggests that Equation ( 8) can be used to estimate the diffusion coefficient at any temperature when the diffusion coefficient at two different temperatures is known.…”

Section: Resultsmentioning

confidence: 83%

“…This result clearly suggests that Equation ( 8) can be used to estimate the diffu coefficient at any temperature when the diffusion coefficient at two different temperat is known. Varotsos and Zellner [56] used the above studies [53,54] and found a significan sult, namely that there is a linear relationship between the natural logarithm of the exponential factor D0 and the activation energy E (i.e., lnD0 vs. E). Summarizing al above studies, it is concluded that it is possible to estimate the diffusion coefficien As has been shown, the diffusion coefficient, D, in a single diffusion mode obeys an Arrhenius-like behavior, as seen in Equation ( 8):…”

Section: Resultsmentioning

confidence: 99%

Satellite Sensed Data-Dose Response Functions: A Totally New Approach for Estimating Materials’ Deterioration from Space

et al. 2023

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When construction materials are exposed to the atmospheric environment, they are subject to deterioration, which varies according to the time period of exposure and the location. A tool named Dose–Response Functions (DRFs) has been developed to estimate this deterioration. DRFs use specific air pollutants and climatic parameters as input data. Existing DRFs in the literature use only ground-based measurements as input data. This fact constitutes a limitation for the application of this tool because it is too expensive to establish and maintain such a large network of ground-based stations for pollution monitoring. In this study, we present the development of new DRFs using only satellite data as an input named Satellite Sensed Data Dose-Response Functions (SSD-DRFs). Due to the global coverage provided by satellites, this new tool for monitoring the corrosion/soiling of materials overcomes the previous limitation because it can be applied to any area of interest. To develop SSD-DRFs, we used measurements from MODIS (Moderate Resolution Imaging Spectroradiometer) and AIRS (Atmospheric Infrared Sounder) on board Aqua and OMI (Ozone Monitoring Instrument) on Aura. According to the obtained results, SSD-DRFs were developed for the case of carbon steel, zinc, limestone and modern glass materials. SSD-DRFs are shown to produce more reliable corrosion/soiling estimates than “traditional” DRFs using ground-based data. Furthermore, research into the development of the SSD-DRFs revealed that the different corrosion mechanisms taking place on the surface of a material do not act additively with each other but rather synergistically.

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“…The MSE has a minimum value for the found optimal parameters (i.e. kinetic rate constants): results [12]. The adsorption capacity of ice was estimated to .…”

Section: Example Of Numerical Calculations and An Application For Expmentioning

confidence: 99%

Numerical Modeling of Three-Phase Mass Transition with an Application in Atmospheric Chemistry

Kochev¹,

Terziyski²,

Milev³

2013

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This work presents a software tool for modeling of mass transfer physicochemical processes occurring in the atmosphere. The implemented algorithms provide an efficient theoretical frame for the interpretation of the results obtained from Coated Wall Flow Tube (CWFT) reactor experiments, which is one of the most adequate techniques to study heterogeneous kinetics. The numerical simulations are based on the fundamental Langmuir adsorption theory by ordinary differential equations and the second Fick’s law described by partial differential equations. The main application of the system is to estimate the basic parameters that characterize the processes. The best parameter estimation is found by minimizing the difference between experimental signals from the CWFT reactors and the obtained numerical simulations. A numerical example for an experimental data fit is given.

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A new modeling tool for the diffusion of gases in ice or amorphous binary mixture in the polar stratosphere and the upper troposphere

Cited by 34 publications

References 64 publications

Integration of remote sensing data and surface observations to estimate the impact of the Russian wildfires over Europe and Asia during August 2010

Integration of remote sensing data and surface observations to estimate the impact of the Russian wildfires over Europe and Asia during August 2010

Satellite Sensed Data-Dose Response Functions: A Totally New Approach for Estimating Materials’ Deterioration from Space

Numerical Modeling of Three-Phase Mass Transition with an Application in Atmospheric Chemistry

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