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Operational Diagnosis of Arctic Waters with Instrumental Technology and Information Modeling

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Abstract

As a tool for assessing water quality in the Arctic Basin, a new technology is proposed based on the coupling of spectral observations of multi-channel optical sensors and mathematical model estimates for the qualitative and quantitative distribution of water pollutants. Adaptive spectrophotometer and spectroellipsometer structures are used to carry out the observations, the operation of which is described in detail. The mathematical model used relates to the spatial simulation of the dynamics of pollutants in the Arctic basin and was developed to assess the distribution of pollutants in Arctic aquariums, including Norway and the Bering Sea. In particular, a model is adopted for the study of heavy metals, oil hydrocarbons, phosphates, and other possible water pollutants. This model describes the interactions of pollutants with components of arctic ecosystems, including chlorophyll-a. It is shown that the proposed tool for combining spectrophotometric or spectroellipsometric observation equipment with the developed model provides to a very large extent the reliable distribution of heavy metals and oil hydrocarbons in all Arctic water.

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References

  • Bobylev, L. P., Kondratyev, K. Y., & Johannessen, O. M. (2003). Arctic environment variability in the context of global change (p. 471). Chichester: Springer/Praxis.

    Google Scholar 

  • Bowling, L. C., Lettenmaier, D. P., & Matheussen, B. V. (2000). Hydroclimatology of the Arctic Drainage Basin. In E. L. Lewis, E. P. Jones, P. Lemke, T. D. Prowse, & P. Wadhams (Eds.), The Freshwater Budget of the Arctic Ocean (p. 70). Dordrecht: NATO Science Series Springer.

    Google Scholar 

  • Cracknell, A. P., & Varotsos, C. A. (2007). Editorial and cover: Fifty years after the first artificial satellite: From Sputnik 1 to Envisat. International Journal of Remote Sensing, 28(10), 2071–2072.

    Article  Google Scholar 

  • Cracknell, A. P., & Varotsos, C. A. (2011). New aspects of global climate-dynamics research and remote sensing. International Journal of Remote Sensing, 32(3), 579–600.

    Article  Google Scholar 

  • Efstathiou, M. N., Tzanis, C., Cracknell, A. P., & Varotsos, C. A. (2011). New features of land and sea surface temperature anomalies. International Journal of Remote Sensing, 32(11), 3231–3238.

    Article  Google Scholar 

  • Efstathiou, M. N., & Varotsos, C. A. (2010). On the altitude dependence of the temperature scaling behaviour at the global troposphere. International Journal of Remote Sensing, 31(2), 343–349.

    Article  Google Scholar 

  • Efstathiou, M. N., & Varotsos, C. A. (2012). Intrinsic properties of Sahel precipitation anomalies and rainfall. Theoretical and Applied Climatology, 109(3), 627–633.

    Article  Google Scholar 

  • Ghosh, S., Gumber, S., & Varotsos, C. (2018). A sensitivity study of diffusional mass transfer of gases in tropical storm hydrometeors. Theoretical and Applied Climatology, 134(3), 1083–1100.

    Article  Google Scholar 

  • Kondratyev, K. Y. (1998). Multidimensional global change (p. 761). /Wiley/Praxis, Chichester.

  • Kondratyev, K. Y. (1999). Climatic effects of aerosol and clouds (p. 264). Chichester: /Springer/Praxis.

    Google Scholar 

  • Kondratyev, K. Y., & Varotsos, C. A. (2000). Atmospheric ozone variability implications for climate change, human health, and ecosystems (p. 758). Chichester: /Springer/Praxis.

    Google Scholar 

  • Kondratyev, K. Y., Krapivin, V. F., Savinykh, V. P., & Varotsos, C. A. (2004). Global ecodynamics: A multidimensional analysis (p. 658). Chichester: Springer/PRAXIS.

    Book  Google Scholar 

  • Kondratyev, K. Y., Ivlev, L. S., Krapivin, V. F., & Varotsos, C. A. (2006). Atmospheric aerosol Properties. Berlin: Springer Praxis ISBN 978-3-540-37698-9.

    Google Scholar 

  • Kovalev, V.I., Kovalev, V.V., Rukovishnikov, A.I., & Kovalev, S.V. (2019). A Wide-range spectroscopic ellipsometer with switching of orthogonal polarization states based on the MDR-41. Monochromator. Instruments and Experimental Techniques. 62(6), 813-816.properties: Formation, processes and impacts. Springer, Chichester, UK., 572 p.

  • Krapivin, V. F., Varotsos, C. A., & Soldatov, V. Y. (2015). New ecoinformatics tools in environmental science: Applications and decision-making (903 p). London: Springer.

    Book  Google Scholar 

  • Varotsos, C., & Cartalis, C. (1991). Re-evaluation of surface ozone over Athens, Greece, for the period 1901–1940. Atmospheric Research, 26(4), 303–310.

    Article  CAS  Google Scholar 

  • Varotsos, C., Efstathiou, M., & Tzanis, C. (2009). Scaling behaviour of the global tropopause. Atmospheric Chemistry and Physics, 9(2), 677–683.

    Article  CAS  Google Scholar 

  • Varotsos, C. A., & Cracknell, A. P. (1994). Remote sounding of minor constituents in the stratosphere and heterogeneous reactions of gases at solid interfaces. International Journal of Remote Sensing, 15(7), 1525–1530.

    Article  Google Scholar 

  • Varotsos, C. A., Efstathiou, M. N., & Cracknell, A. P. (2013). On the scaling effect in global surface air temperature anomalies. Atmospheric Chemistry and Physics, 13(10), 5243–5253.

    Article  CAS  Google Scholar 

  • Varotsos, C. A., Franzke, C. L., Efstathiou, M. N., & Degermendzhi, A. G. (2014). Evidence for two abrupt warming events of SST in the last century. Theoretical and Applied Climatology, 116(1), 51–60.

    Article  Google Scholar 

  • Varotsos, C. A., & Ghosh, S. (2017). Impacts of climate warming on atmospheric phase transition mechanisms. Theoretical and Applied Climatology, 130(3), 1111–1122.

    Article  Google Scholar 

  • Varotsos, C. A., & Krapivin, V. F. (2017). A new big data approach based on geoecological information-modeling system. Big Earth Data., 1(1-2), 47–63.

    Article  Google Scholar 

  • Varotsos, C. A., Krapivin, V. F., & Mkrtchyan, F. A. (2019b). New optical tools for water quality diagnostics. Water, Air, and Soil Pollution, 230(8), 1771.

    Article  Google Scholar 

  • Varotsos, C. A., & Krapivin, V. F. (2018). Pollution of Arctic waters has reached a critical point: An innovative approach to this problem. Water, Air, and Soil Pollution, 229(11), 1–14.

    Article  CAS  Google Scholar 

  • Varotsos, C. A., Tzanis, C. G., & Sarlis, N. V. (2016). On the progress of the 2015–2016 El Niño event. Atmospheric Chemistry and Physics, 16(4), 2007–2011.

    Article  CAS  Google Scholar 

  • Varotsos, C. A., & Zellner, R. (2010). A new modeling tool for the diffusion of gases in ice or amorphous binary mixture in the polar stratosphere and the upper troposphere. Atmospheric Chemistry and Physics, 10(6), 3099–3105.

    Article  CAS  Google Scholar 

  • Varotsos, C.A., Krapivin, V.F., & Soldatov, V. Yu. (2019a). Arctic latitudes environmental pollution effects. // Proceedings of the 34th International Symposium on Okhotsk Sea & Polar Oceans, 17-20 February 2019a, Mombetsu, Hokkaido, Japan. Okhotsk Sea and Polar Oceans Research Association, Mombetsu, Hokkaido, Japan. 418-421.

  • Xiaowen, J., Abakumov, E., & Xie, X. (2019). Atmosphere–ocean exchange of heavy metals and polycyclic aromatic hydrocarbons in the Russian Arctic Ocean. Atmospheric Chemistry and Physics, 19, 13789–13807.

    Article  Google Scholar 

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Acknowledgements

This work was partially supported the Russian Foundation for Basic Research, project no. 19-07-00443-a.

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Authors and Affiliations

  1. Kotelnikov Institute of Radioengineering and Electronics, Fryazino Branch, Russian Academy of Sciences, Fryazino, Moscow Region 141190, Russia

    Vladimir F. Krapivin & Ferdenant A. Mkrtchan

  2. Department of Environmental Physics and Meteorology, National and Kapodistrian University of Athens, University Campus, Bldg PHYS-V, GR-157 84, Athens, Greece

    Costas A. Varotsos

  3. School of Environment Science and Geoinformatics, China University of Mining and Technology, Xuzhou 221116, Jiangsu, PR China

    Costas A. Varotsos & Yong Xue

  4. College of Science and Engineering, University of Derby, Derby, UK

    Yong Xue

Authors
  1. Vladimir F. Krapivin
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  2. Ferdenant A. Mkrtchan
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  3. Costas A. Varotsos
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  4. Yong Xue
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Correspondence to Yong Xue.

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Krapivin, V.F., Mkrtchan, F.A., Varotsos, C.A. et al. Operational Diagnosis of Arctic Waters with Instrumental Technology and Information Modeling. Water Air Soil Pollut 232, 137 (2021). https://doi.org/10.1007/s11270-021-05068-5

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