Maria Knyazeva

Maria Knyazeva

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Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 December 2023 in C
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Journal Article
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Nikolay V. LobusNikolay V. Lobus
Nikolay V. Lobus
MKMaria Knyazeva
Maria Knyazeva
APAnna F. Popova
Anna F. Popova
Maxim KulikovskiyMaxim Kulikovskiy
Maxim Kulikovskiy
Since the Industrial Revolution, human economic activity and the global development of society in general have been heavily dependent on the exploitation of natural resources. The use of fossil fuels, deforestation, the drainage of wetlands, the transformation of coastal marine ecosystems, unsustainable land use, and many other unbalanced processes of human activity have led to an increase both in the anthropogenic emissions of climate-active gases and in their concentration in the atmosphere. It is believed that over the past ~150 years these phenomena have contributed to an increase in the global average temperature in the near-surface layer of the atmosphere by ~1 °C. Currently, the most pressing tasks facing states and scientific and civil societies are to reduce anthropogenic CO2 emissions and to limit the global air temperature increase. In this regard, there is an urgent need to change existing production systems in order to reduce greenhouse gas emissions and to sequester them. In this review, we consider up-to-date scientific approaches and innovative technologies, which may help in developing roadmaps to reduce the emissions of climate-active gases, control rising temperatures, decarbonize economies, and promote the sustainable development of society in general.

1 June 2018 in Journal of Atmospheric and Solar-Terrestrial Physics
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ANAlexander Namgaladze
Alexander Namgaladze
MKMikhail Karpov
Mikhail Karpov
MKMaria Knyazeva
Maria Knyazeva

28 June 2019 in Atmosphere
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ANAlexander Namgaladze
Alexander Namgaladze
MKMikhail Karpov
Mikhail Karpov
MKMaria Knyazeva
Maria Knyazeva
Herein, we analyze the variations in the ionosphere for the period of two weeks before the M6.7 earthquake in India on 3 January 2016. The earthquake occurred after a series of magnetic substorms on 31 December 2015 and 1 January 2016. The relative total electron content (TEC) disturbances have been estimated using global TEC maps and calculated numerically using the 3D global first-principle Upper Atmosphere Model (UAM) for the whole period including the days before, during, and after the substorms. Numerical simulations were repeated with the seismogenic vertical electric currents switched on at the earthquake epicenter. The UAM calculations have reproduced the general behavior of the ionosphere after the main phase of the geomagnetic storm on 1 January 2016 in the form of negative TEC disturbances propagating from high latitudes, being especially strong in the Southern (summer condition) Hemisphere. It was shown that the local ionospheric effects of seismic origin can be identified in the background of the global geomagnetic disturbances. The seismo-ionospheric effects are visible in the nighttime regions with the additional negative TEC disturbances extending from the eastern side of the epicenter meridian to the western side, both in the observations and in the UAM simulations. It was found that the vertical electric field and corresponding westward component of the electromagnetic [E × B] drift played a decisive role in the formation of the ionospheric precursors of this earthquake.

1 September 2015 in Russian Journal of Physical Chemistry B
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MKMaria Knyazeva
Maria Knyazeva
ANAlexander Namgaladze
Alexander Namgaladze
KBK. E. Beloushko
K. E. Beloushko
We have modified the electric field calculation block of the global three-dimensional time-dependent model of the Earth’s Upper Atmosphere (UAM) to study the influence of the interplanetary magnetic...

23 May 2012 in Geomagnetism and Aeronomy
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MKMaria Knyazeva
Maria Knyazeva
ANAlexander Namgaladze
Alexander Namgaladze
OMO. V. Martynenko
O. V. Martynenko
A mathematical modeling method and the global numerical model of the Earth’s upper atmosphere were used to study nighttime enhanced electron density regions (EEDRs) in the ionospheric F2 layer and...

1 July 2019 in Russian Journal of Physical Chemistry B
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OZO. V. Zolotov
O. V. Zolotov
MKMaria Knyazeva
Maria Knyazeva
YRYu. V. Romanovskaya
Yu. V. Romanovskaya
The article reviews methods for the computer analysis and detection of so-called ionospheric earthquake precursors. It is shown that the applied techniques lead to quantitatively incomparable...