On application of nonlinear reaction-diffusion-advection models to simulation of transport of chemically-active impurities

The authors are developing methods for the determination of the emissions from urban sources of key impurities basing on surface and high-detailed satellite measurements. For the applications in these researches we develop a simplified parameterized model of chemical transformations in the atmosphere. This work is devoted to estimation of the effective lifetimes and the decay rates of nitrogen oxides (NOx) entering the atmosphere as a result of emissions of industrial enterprises basing on chemical-transport simulation. The estimation of effective decay rates, which allows to relatively simply parameterize chemical processes occurring in a plume, is necessary for further use in transport models based on systems of the diffusion-reaction-advection equations and describing the behavior of the plume. The effective decay rates are calculated as the inverse of the times over which the concentrations of the corresponding nitrogen oxides decrease by e times compared to their maximum values. The dependence of their concentrations on time is found by solving a system of kinetic equations describing the reactions occurring in the plume. For the numerical solution of the Cauchy problem, a finite-difference scheme is used that takes into account the structure of the kinetic equations and has the second order of the approximation error.

[1]  N. Pankratova,et al.  Ozone and nitric oxides in the surface air over northern Eurasia according to observational data obtained in TROICA experiments , 2011 .

[2]  L. V. Kuz’mina,et al.  Modeling of chemical kinetics in gases , 2017 .

[3]  Eugene Genikhovich,et al.  Construction of the SILAM Eulerian atmospheric dispersion model based on the advection algorithm of Michael Galperin , 2015 .

[4]  Konstantinos Markakis,et al.  CHIMERE-2017 : from urban to hemispheric chemistry-transport modeling , 2017 .

[5]  D. Jacob,et al.  Global modeling of tropospheric chemistry with assimilated meteorology : Model description and evaluation , 2001 .

[6]  A A Belov GACK package for chemical kinetics calculation with guaranteed accuracy , 2015 .

[7]  M. Sofieva,et al.  A dispersion modelling system SILAM and its evaluation against ETEX data , 2005 .

[8]  J DE SAN ROMAN,et al.  [Meteorology and climatology in health and in disease]. , 1952, Medicina.

[9]  Oleg V. Postylyakov,et al.  Comparison of space high-detailed experimental and model data on tropospheric NO2 distribution , 2019, Atmospheric and Ocean Optics.

[10]  Georg A. Grell,et al.  Fully coupled “online” chemistry within the WRF model , 2005 .

[11]  N. Levashova,et al.  A two-dimensional hydrodynamic model of turbulent transfer of CO2 and H2O over a heterogeneous land surface , 2018 .

[12]  N. Elansky Air quality and CO emissions in the Moscow megacity , 2014 .

[13]  V. N. Kondratʹev Rate constants of gas phase reactions : reference book , 1972 .

[14]  F. Kirchner,et al.  A new mechanism for regional atmospheric chemistry modeling , 1997 .

[15]  N. A. Ponomarev,et al.  Air quality and pollutant emissions in the Moscow megacity in 2005–2014 , 2018 .

[16]  O. V. Postylyakov,et al.  Preliminary validation of high-detailed GSA/Resurs-P tropospheric NO2 maps with alternative satellite measurements and transport simulations , 2019, Remote Sensing.

[17]  Alexander Borovski,et al.  First experiment on retrieval of tropospheric NO2 over polluted areas with 2.4-km spatial resolution basing on satellite spectral measurements , 2017, Atmospheric and Ocean Optics.

[18]  J. Garratt The Atmospheric Boundary Layer , 1992 .

[19]  M. Molina,et al.  Chemical kinetics and photochemical data for use in stratospheric modeling , 1985 .