Vol. 30, issue 10, article # 8

Poddubnyi V. A., Dubinkina E. S. The problem of fluid location of the atmosphere for the estimation of pollution fields and retrieval of source. // Optika Atmosfery i Okeana. 2017. V. 30. No. 10. P. 862–870. DOI: 10.15372/AOO20171008 [in Russian].
Copy the reference to clipboard

Abstract:

A fundamentally new physico-mathematical formulation of the problem of retrieving the average field of atmospheric contaminant concentrations and detecting emission sources from local measurements is presented. This is a problem of passive location of the atmosphere by wind or a problem of fluid location of the atmosphere. The definitions of new functions are given: the mean effective concentration field and the mean effective field of the sources. The differential and integral forms of equations for the solution of the problem are presented. Several particular cases are briefly considered, which show the relationship of the proposed approach with the methods of back trajectories statistics and direct atmospheric dispersion simulation.

Keywords:

atmosphere, monitoring, simulation, formulation of the problem, conservation equations, Lagrangian particles, back trajectories, retrieval of the concentration field, sources of emission

References:

1. Marchuk G.I. Matematicheskoe modelirovanie v probleme okruzhajushhej sredy. M.: Nauka, 1982. 320 p.
2. Berljand M.E. Sovremennye problemy atmosfernoj diffuzii i zagrjaznenie atmosfery. L.: Gidrometeoizdat, 2008. 448 p.
3. Jacobson M.Z. Fundamentals of Atmospheric Modeling. 2nd ed. New York: Cambridge University Press, 2005. 813 p.
4. Data Assimilation. Making Sense of Observations / W. Lahoz, B. Khattalov, R. Menard (eds.). Berlin; Heidelberg: Springer, 2010. 718 p.
5. Klimova E.G., Kilanova N.V. Chislennye jeksperimenty po ocenke jemissii metana na osnove sistemy usvoenija dannyh o passivnoj primesi v atmosfere Severnogo polusharija // Optika atmosf. i okeana. 2006. V. 19, N 11. P. 961–964.
6. Penenko V.V., Cvetova E.A., Penenko A.V. Metody sovmestnogo ispol'zovanija modelej i dannyh nabljudenij v ramkah variacionnogo podhoda dlja prognozirovanija pogody i kachestva sostava vozduha // Meteorol. i gidrol. 2015. N 6. P. 13–24.
7. Vasin V.V., Ageev A.L. Nekorrektnye zadachi s apriornoj informaciej. Ekaterinburg: UIF «Nauka», 1993. 262 p.
8. Yee E. Theory for reconstruction of an unknown number of contaminant sources using probabilistic inference // Bound.-Lay. Meteorol. 2008. N 3. P. 359–394.
9. Babuhina T.I., Gan'shin A.V., Zhuravlev R.V., Luk'janov A.N., Maksjutov Sh.Sh. Ocenka vybrosov v atmosferu radioaktivnyh veshhestv (133XE, 131I, 137CS) pri avarii na AJeS «Fukusima-1» metodom obratnogo modelirovanija // Meteorol. i gidrol. 2016. N 5. P. 44–56.
10. Fleming L.Z., Monks P.L., Manning A.J. Review: Untangling the influence of air-mass history in interpreting observed atmospheric composition // Atmos. Res. 2012. V. 104–105. P. 1–39.
11. Lagrangian modeling of the atmosphere: Geophysical monograph 200 / J. Lin, D. Brunner, C. Gerbig, A. Stohl, A. Luhar, P. Webley (eds.). Washington: Am. Geophys. Union, 2012. 350 p.
12. Intercontinental transport of air pollution: The handbook of environmental chemistry 4G / A. Stohl (ed.). Berlin: Springer, 2014. 312 p.
13. Kucenogij K.P., Smirnova A.I. Metod obratnyh traektorij dlja identifikacii istochnikov atmosfernyh ajerozolej regional'nogo i global'nogo masshtabov // Optika atmosf. i okeana. 2001. V. 14, N 6–7. P. 510–514.
14. Penenko V.V., Cvetova E.A. Ob ocenke informativnosti nabljudatel'nyh jeksperimentov // Optika atmosf. i okeana. 2000. V. 13, N 6–7. P. 649–655.
15. Luk'janov A.N., Gan'shin A.V., Zhuravlev R.V., Maksjutov Sh.Sh., Varlagin A.V. Global'naja atmosfernaja model' rassejanija chastic // Izv. RAN. Fiz. atmosf. i okeana. 2015. V. 51, N 5. P. 570–577.
16. Vinogradova A.A., Veremejchik A.O. Pole potencial'nyh istochnikov ajerozol'nogo zagrjaznenija atmosfery v rajone Neneckogo zapovednika // Optika atmosf. i okeana. 2012. V. 25, N 9. P. 760–767; Vinigradovа А.А., Vеremeichik А.О. Potential sources of aerosol pollution of the atmosphere near the Nenetsky Nature Reserve // Atmos. Ocean. Opt. 2013. V. 26, N 3. P. 118–125.
17. Vinogradova A.A., Veremejchik A.O. Model'nye ocenki soderzhanija antropogennoj sazhi v atmosfere Rossijskoj Arktiki // Optika atmosf. i okeana. 2013. V. 26, N 6. P. 443–451.
18. Seibert P., Kromp-Kolb H., Baltensperger U., Jost D.T., Schwikowski M., Kasper A., Puxbaum H. Trajectory analysis of aerosol measurements at high Alpine sites // Transport and transformation of pollutants in the troposphere. Den Haag: Academic Publ., 1994. P. 689–693.
19. Stohl A. Trajectory statistics – a new method to establish source-reseptor relationships of air pollutants and its application to the transport of particulate sulfate in Europe // Atmos. Environ. 1996. V. 30, N 4. P. 579–587.
20. Poddubnyj V.A. Metod fljuid-lokacii atmosfery // Mater. XVI Mezhdunar. simpoz. «Optika atmosf. i okeana. Fiz. atmosf.». Tomsk: Izd-vo IOA SO RAN, 2009. P. 502–504.
21. Poddubnyj V.A., Nagovicyna E.S. Vosstanovlenie prostranstvennogo polja koncentracii atmosfernogo ajerozolja po dannym lokal'nyh izmerenij: modifikacija metoda statistiki obratnyh traektorij // Izv. RAN. Fiz. atmosf. i okeana. 2013. V. 49, N 4. P. 439–446.
22. URL: http://apps.ecmwf.int/datasets/ (last access: 17.02.2017).
23. URL: ftp://arlftp.arlhq.noaa.gov/archives/reanalysis/ (last access: 17.02.2017).
24. URL: http://www.wrf-model.org/index.php/ (last access: 18.02.2017).
25. URL: http://www2.mmm.ucar.edu/mm5/mm5-home.html (last access: 28.02.2017).
26. Stohl A. Computation, accuracy and applications of trajectories – a review and bibliography // Atmos. Environ. 1998. V. 32, N 6. P. 947–966.
27. Stohl A., Forster C., Frank A., Seibert P., Wotawa G. Technical note: The Lagrangian particle dispersion model FLEXPART Version 6.2. // Atmos. Chem. Phys. 2005. V. 5. P. 2461–2474.
28. Draxler R.R. Hess G.D. An Overview of the HYSPLIT-4 modelling system for trajectories, dispersion and deposition // Australian Meteorol. Mag. 1998. V. 47. P. 295–308.
29. URL: http://iacweb.ethz.ch/staff//sprenger/lagranto/ (last access: 9.07.2017).
30. URL: http: // www.metoffice.gov.uk/research/modelling systems/dispersion-model (last access: 20.07.2017).
31. URL: http://www.stilt-model.org/pmwiki/pmwiki.php (last access: 23.07.2017).
32. URL: http://www.cycstats.org/trajectories/trajhome.htm (last access: 30.07.2017).
33. Poddubnyj V.A., Nagovicyna E.S. Ocenka pogreshnostej i verifikacija metoda fljuid-lokacii atmosfery // Optika atmosf. i okeana. 2014. V. 27, N 10. P. 869–877; Pоddubny V.А., Nаgоvitsyna Е.S. Estimate of errors and verification of the method of fluid location of the atmosphere // Atmos. Ocean. Opt. 2015. V. 28, N 3. P. 282–290.
34. Issledovanie radiacionnyh harakteristik ajerozolja v aziatskoj chasti Rossii / pod red. S.M. Sakerina. Tomsk: Izd-vo IOA SO RAN, 2012. 484 p.
35. Dubinkina E.S. Modelirovanie ajerozol'nyh polej na osnove sovmestnogo analiza dannyh solnechnoj fotometrii i informacii o dinamike atmosfery: Avtoref. dis. … kand. fiz.-mat. nauk. Tomsk: IOA SO RAN. Tomsk, 2015. 18 p.
36. Holben B.N., Eck T.F., Slutsker I., Tanre D., Buis J.P., Setzer A., Vermote E., Reagan J.A., Kaufman Y.J., Nakajima I., Lavenu F., Jankowiak I., Smirnov A. AERONET – a federated instrument network and data archive for aerosol characterization // Remote Sens. Environ. 1998. V. 66. P. 1–16.