Abstract
This article describes the results of studies conducted as a result of a NATO collaboration linkage grant (CLG): ESP.EAP.CLG.983876, during which we developed components for a future regional monitoring system for those regions of Armenia that the most prone to frequent natural disasters, viz. mud-slides and ground deformation. This system is based on the using of the geological terrain surfaces data, INSAR simulation tools and mathematical interpretation of digital elevation models, GIS technology, mathematical models and computer programs to process satellite’s images with a certain probability that allows prediction of onset and developing of disasters. The monitoring results are intended to be used to forewarn, prevent, minimize and mitigate possible adverse effects of such natural disasters.
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References
Melkumyan MG (2005) Seismic risk assessment and mitigation strategy in Armenia. Printinfo, Yerevan, p 161
Armenia Ministry of Nature Protection (2002) National action program to combat desertification in Armenia, Government of Armenia
Boynaghryan VR, Stepanyan VE, Khachatryan DA et al (2009) Landslides in Armenia. Asoghik, Yerevan, p 308 (in Russian)
Zohrabyan LN, Sahakyan GD, Karakhanyan AS (1981) Landslide map of Armenian SSR at 1:200 000 scale based on decoding of aero elevation images and geomorphologic investigations (explanation notes for the maps). Institute of Geological Sciences of Academy of Sciences SSRA, Yerevan, p 36 (in Russian)
Vardanyan VP, Proshyan AS, Khachatryan DA (1990) Feature of the landslide structure of Fioletovo area in the Dilijan region of Armenian SSR. Sci Notes YSU, Nat Sci 1(172):133–139 (in Russian)
Dorbath K, Arefiev S, Rogozhin E (2004) Seismic tomography constraints on the deep structure of the Spitak earthquake source zone, Izvestiya. Phys Solid Earth 40(8):647–659, Translation from Fizika Zemli 8:41–55
Albarede F, Bogachkin B, Oleinik A et al (1980) On a prehistoric strong earthquake in the Spitak area. Dokl Akad Nauk Arm SSR 313(2):397–400
Arefiev S, Aptekman Z, Afimina T et al (1991) Catalog of Aftershocks of the Spitak, December 7, 1988 Earthquake. Fiz Zemli 11:60–73 (in Russian)
Wise S (2007) Effect of differing DEM creation methods on the results from a hydrological model. J Comput Geosci 33(10):1351–1365
Milan D, Heritage G, Large A, Fuller I (2011) Filtering spatial error from DEMs: implications for morphological change estimation. J Geomorphol 125(1):160–171
Sorensen R, Seibert J (2007) Effects of DEM resolution on the calculation of topographical indices: TWI and its components. J Hydrol 347(1–2):79–89
Grigoryan MA, Aleksanyan GM, Boyakhchyan TN, Navasardyan GKh, Gevorgyan LA, Lazarov A, Minchev D (2011) Digital elevation models of territories under risk in Caucasus region-Armenia. In: International research conference, “Interaction of theory and practice: key problems and solutions”, Burgas, 24–25 June 2011
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Aleksanyan, G.M., Grigoryan, M.A. (2013). Detection and Monitoring of Surface Deformations in Armenia Using INSAR Satellite. In: Vaseashta, A., Khudaverdyan, S. (eds) Advanced Sensors for Safety and Security. NATO Science for Peace and Security Series B: Physics and Biophysics. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7003-4_18
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DOI: https://doi.org/10.1007/978-94-007-7003-4_18
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