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Application of InSAR Modeling for Monitoring of Territories Under Landslides Risk in Armenia

Received: 28 August 2016     Accepted: 9 December 2016     Published: 5 January 2017
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Abstract

In this article we describe works (that were carried out in the frames of NATO Project: NATO CLG: ESP.EAP.CLG. 983876) that have done for creating DEM for selected areas of Armenia with high level of risk where natural disasters such as grounds sedimentation, landslides, mudflows, earthquakes periodically happen. In the future the obtained DEM will be used to create regional system for the monitoring of natural disasters (to control topographic changes on the territories with high level of risk) in the territory of Armenia using tools such as InSAR modeling, systems of mathematical interpretation of digital models, GIS technologies and mathematical models for processing satellite images. The results of monitoring will be periodically presented to local authorities to take measures in order to prevent probable natural disasters impact on population and communications.

Published in International Journal of Economy, Energy and Environment (Volume 2, Issue 1)
DOI 10.11648/j.ijeee.20170201.11
Page(s) 1-6
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Geological Data, Mudflows, Earthquakes, Topographical Maps, DEM, GIS, Processing of Satellite Images, Modeling

References
[1] Melkumyan M., Seismic Risk Assessment and Mitigation Strategy in Armenia
[2] Armenia Ministry of Nature Protection, National Action Program to Combat Desertification in Armenia (Government of Armenia, 2002
[3] Boynaghryan V. R., Stepanyan V. E., Khachatryan D. A. et al., Landslides in Armenia, ”ASOGHIK”, p. 308 (in Russian), 2009
[4] Zohrabyan L. N., Sahakyan G. D., Karakhanyan A. S., Landslide map of Armenian SSR at 1:200 000 scale based on decoding of aeroelevation images and geomorphologic investigations (explanation notes for the maps), Yerevan, Institute of Geological Sciences of Academy of Sciences SSRA, p. 36 (in Russian), 1981
[5] Vardanyan V. P., Proshyan A. S., Khachatryan D. A., Feature of the landslide structure of Fioletovo area in the Dilijan region of Armenian SSR, Scientific notes of YSU, Natural sciences, N: 1 (172), pp. 133-139.(in Russian), 1990
[6] Dorbath K., Arefiev S. and Rogozhin E., Seismic Tomography Constraints on the Deep Structure of the Spitak Earthquake Source Zone, Izvestiya, Physics of the Solid Earth, Vol. 40, No. 8, pp. 647–659. Translation from Fizika Zemli, No. 8, pp. 41–55, 2004
[7] Albarede F., Bogachkin B., Oleinik A., et al., On a Prehistoric Strong Earthquake in the Spitak Area, Dokl. Akad. Nauk Arm. SSR 313, (2), pp. 397–400, 1980
[8] Arefiev S., Aptekman Zh., Afimina T. et al., Catalog of Aftershocks of the Spitak, December 7, 1988 Earthquake, Fiz. Zemli, No. 11, pp. 60–73 (in Russian), 1991
[9] Wise S., Effect of differing DEM creation methods on the results from a hydrological model, Journal of Computers & Geosciences, Volume 33, Issue 10, pp. 1351-1365, 2007
[10] Milana D., Heritageb G., Largec A. and I. Fuller, Filtering spatial error from DEMs: Implications for morphological change estimation, Journal of Geomorphology, Volume 125, Issue 1, pp. 160-171, 2011
[11] Sorensen R., J. Seibert, Effects of DEM resolution on the calculation of topographical indices: TWI and its components, Journal of Hydrology, Volume 347, Issues 1-2, 15, pp. 79-89, 2007
Cite This Article
  • APA Style

    Gurgen Aleksanyan. (2017). Application of InSAR Modeling for Monitoring of Territories Under Landslides Risk in Armenia. International Journal of Economy, Energy and Environment, 2(1), 1-6. https://doi.org/10.11648/j.ijeee.20170201.11

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    ACS Style

    Gurgen Aleksanyan. Application of InSAR Modeling for Monitoring of Territories Under Landslides Risk in Armenia. Int. J. Econ. Energy Environ. 2017, 2(1), 1-6. doi: 10.11648/j.ijeee.20170201.11

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    AMA Style

    Gurgen Aleksanyan. Application of InSAR Modeling for Monitoring of Territories Under Landslides Risk in Armenia. Int J Econ Energy Environ. 2017;2(1):1-6. doi: 10.11648/j.ijeee.20170201.11

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  • @article{10.11648/j.ijeee.20170201.11,
      author = {Gurgen Aleksanyan},
      title = {Application of InSAR Modeling for Monitoring of Territories Under Landslides Risk in Armenia},
      journal = {International Journal of Economy, Energy and Environment},
      volume = {2},
      number = {1},
      pages = {1-6},
      doi = {10.11648/j.ijeee.20170201.11},
      url = {https://doi.org/10.11648/j.ijeee.20170201.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijeee.20170201.11},
      abstract = {In this article we describe works (that were carried out in the frames of NATO Project: NATO CLG: ESP.EAP.CLG. 983876) that have done for creating DEM for selected areas of Armenia with high level of risk where natural disasters such as grounds sedimentation, landslides, mudflows, earthquakes periodically happen. In the future the obtained DEM will be used to create regional system for the monitoring of natural disasters (to control topographic changes on the territories with high level of risk) in the territory of Armenia using tools such as InSAR modeling, systems of mathematical interpretation of digital models, GIS technologies and mathematical models for processing satellite images. The results of monitoring will be periodically presented to local authorities to take measures in order to prevent probable natural disasters impact on population and communications.},
     year = {2017}
    }
    

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    AB  - In this article we describe works (that were carried out in the frames of NATO Project: NATO CLG: ESP.EAP.CLG. 983876) that have done for creating DEM for selected areas of Armenia with high level of risk where natural disasters such as grounds sedimentation, landslides, mudflows, earthquakes periodically happen. In the future the obtained DEM will be used to create regional system for the monitoring of natural disasters (to control topographic changes on the territories with high level of risk) in the territory of Armenia using tools such as InSAR modeling, systems of mathematical interpretation of digital models, GIS technologies and mathematical models for processing satellite images. The results of monitoring will be periodically presented to local authorities to take measures in order to prevent probable natural disasters impact on population and communications.
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Author Information
  • Geography and Geology Department, Yerevan State University, Yerevan, Armenia

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