Details

Title

Three months of “Cumbre Vieja” – analysis of consequences of volcano eruption

Journal title

Archives of Environmental Protection

Yearbook

2022

Volume

48

Issue

3

Authors

Affiliation

Mazur, Andrzej : Institute of Meteorology and Water Management – National Research Institute, Poland

Keywords

volcano eruption ; atmospheric dispersion ; Eulerian model ; lagged-ensemble

Divisions of PAS

Nauki Techniczne

Coverage

99-108

Publisher

Polish Academy of Sciences

Bibliography

  1. Bartnicki, J., Haakenstad, H. & Benedictow, A. (2010). Atmospheric transport and deposition of radioactive debris to Norway in case of a hypothetical accident in Leningrad Nuclear Power Plant. Met.no report 1/2010. Norwegian Meteorological Institute, Oslo.
  2. Bouallegue, Z.B., Theis, S.E. & Gebhardt, C. (2013). Enhancing COSMO-DE ensemble forecasts by inexpensive techniques. Meteorologische Zeitschrift 22, 1, pp. 49–59. DOI:10.1127/0941-2948/2013/0374
  3. Bott, A. (1989) A positive definite advection scheme obtained by nonlinear renormalization of the advective fluxes. Mon. Wea. Rev. 117, pp. 1006-1015, DOI:10.1175/1520-0493(1989)117<1006:APDASO>2.0.CO;2
  4. Businger, S., Huff, R., Horton, K., Sutton, A.J. & Elias, T. (2015). Observing and forecasting vog dispersion from Kīlauea Volcano, Hawaii. Bull. Amer. Meteor. Soc. 96, pp. 1667-1686. DOI:10.1175/BAMS-D-14-00150.1
  5. Carboni, E., Grainger, R.G., Mather, T.A., Pyle, D.M., Thomas, G.E., Siddans, R., Smith, A.J.A., Dudhia, A., Koukouli, M.E. & Balis, D. (2016). The vertical distribution of volcanic SO2 plumes measured by IASI. Atmos. Chem. Phys., 16, pp. 4343–4367, DOI:10.5194/acp-16-4343-2016
  6. Chen, M., Wang, W. & Kumar, A. (2013). Lagged ensembles, forecast configuration, and seasonal predictions. Mon. Wea. Rev. 141, no. 10, pp. 3477-3497. DOI:10.1175/MWR-D-12-00184.1
  7. DelSole, T., Trenary, L. & Tippett, M.K. (2017). The Weighted-Average Lagged Ensemble. J. Adv. Model Earth Syst. 9, 7, pp. 2739–2752. DOI: 10.1002/2017MS001128.
  8. Draxler, R.R. (2007). Demonstration of a global modeling methodology to determine the relative importance of local and long-distance sources. Atmos. Env. 41, pp. 776-789, DOI: 10.1016/j.atmosenv.2006.08.052
  9. Eckhardt, S., Prata, A.J., Seibert, P., Stebel, K. & Stohl, A. (2008). Estimation of the vertical profile of sulfur dioxide injection into the atmosphere by a volcanic eruption using satellite column measurements and inverse transport modeling. Atmos. Chem. Phys. 8, pp. 3881–3897, DOI:10.5194/acp-8-3881-2008
  10. Juda-Rezler, K. (2010). New challenges in air quality and climate modeling. Arch. Environ. Prot., 36, 1, pp. 3-28
  11. Kryza, M., Błaś, M., Dore, A.J. & Sobik, M. (2010). Fine-Resolution Modeling of Concentration and Deposition of Nitrogen and Sulphur Compounds for Poland – Application of the FRAME Model. Arch. Environ. Prot., 36, 1, pp. 49-61
  12. Lax, P.D. (2013). Stability of Difference Schemes, [In:] de Moura, C.A. & Kubrusly C.S. (eds.) The Courant–Friedrichs–Lewy (CFL) Condition 80 Years After Its Discovery. ISBN 978-0-8176-8393-1, DOI 10.1007/978-0-8176-8394-8 Springer New York Heidelberg Dordrecht London
  13. Lu, C., Yuan, H., Schwartz, B.E. & Benjamin, S.G. (2007). Short-range numerical weather prediction using time-lagged ensembles. Weather and Forecasting 22, 3, pp. 580–595. DOI:10.1175/WAF999.1
  14. Mazur, A. (2008) Unified model for atmospheric transport of pollutants over Poland. Doctoral Dissertation. (in Polish) Warsaw, IMGW.
  15. Mazur, A., Bartnicki, J. & Zwoździak, J. (2014). Operational model for atmospheric transport and deposition of air pollution. Ecol. Chem. Eng. – S 21, 3, pp. 385-400, DOI: 10.2478/eces-2014-0028.
  16. Mazur, A. (2016). Air transport of pollutants between Poland and neighbouring countries in 2008–2012 – assessment of the balance, based on the simulation of atmospheric dispersion. Part II – nitrogen and sulphur compounds. Sci. Rev. Eng. Env. Sci., 25(4), 472–482 (in Polish)
  17. Mazur, A. (2019). Hypothetical Accident In Polish Nuclear Power Plant. Worst Case Scenario for Main Polish Cities. Ecol. Chem. Eng. – S 26, 1, pp. 9-28, DOI: 10.1515/eces-2019-0001
  18. NASA (2021) NASA Atmospheric Chemistry and Dynamics Laboratory Global Sulfur Dioxide Monitoring Home Page, (https://so2.gsfc.nasa.gov/volcano_past.html, (21.12.2021))
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  20. Nordlund, G., Rossi, J., Valkama, I. & Seppo, V. (1998). Probabilistic trajectory and dose analysis for Finland due to hypothetical radioactive release at Sosnovy Bor. Research Note 847. Tech. Res. Centre of Finland. Espoo. ISBN 951-38-3106.
  21. Pongkiatkul, P. & Kim Oanh, N.T. (2007). Assessment of potential long-range transport of particulate air pollution using trajectory modeling and monitoring data. Atmos. Res., 85, pp. 3-17, DOI: 10.1016/j.atmosres.2006.10.003.
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  23. De Visscher, A. (2014). Air Dispersion Modeling. Foundations and Applications. ISBN 978-1-118-07859-4. John Wiley & Sons, Inc., Hoboken, New Jersey.
  24. Yuan, H., Lu, C., McGinley, J.A., Schultz, P.J., Jamison, B.D., Wharton, L. & Anderson, C.J. (2009). Evaluation of short-range quantitative precipitation forecasts from a time-lagged multimodel ensemble. Weather and Forecasting 24, 1, pp. 18–38. DOI:10.1175/2008WAF2007053.1

Date

2022.09.19

Type

Article

Identifier

DOI: 10.24425/aep.2022.142694

DOI

10.24425/aep.2022.142694

Abstracting & Indexing

Abstracting & Indexing


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