Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/3728
Title: Geometric deformation analysis in free geodetic networks: Case study for FruŠka Gora in Serbia
Authors: Sušić, Zoran 
Batilović, Mehmed 
NInković, Sanja
Bulatović, Vesna
Aleksić I.
Nikolić, Gordana 
Issue Date: 1-Jan-2017
Journal: Acta Geodynamica et Geomaterialia
Abstract: © 2017, Academy of Sciences of the Czech Republic. All rights reserved. The deformation measurements are performed for the purpose of obtaining information concerning ground movement and objects on the ground within given time intervals. For the purpose of improving conventional models of deformation analysis (CDA) it is desirable to use several different methods and also implement alternative procedures as a further improvement, such as the concept of robust geodetic networks and strain analysis, aimed at obtaining objective information about the movements. In the present paper, in addition to the CDA methods, we also analyze the robust methods in deformation detecting and the method of the strain analysis based on elasticity theory as a supplement to the conventional geometric deformation methods (CDA). The mentioned methods are applied and analysed for the case of a test example of Fruška Gora in Serbia, for which there exist geological and geophysical studies of recent tectonic movements. The measuring results for two measuring epochs concern the GNSS vectors measured by applying the fast static method within closed polygons over a ten-year interval, where only the horizontal movement component is analysed. The efficiency of the applied CDA and robust methods is measured by applying a mean success rate (MSR) by applying Monte Carlo simulations in order to investigate the efficiency of a given methods for a given control network.
URI: https://open.uns.ac.rs/handle/123456789/3728
ISSN: 12149705
DOI: 10.13168/AGG.2017.0017
Appears in Collections:FTN Publikacije/Publications

Show full item record

SCOPUSTM   
Citations

11
checked on Apr 29, 2023

Page view(s)

33
Last Week
14
Last month
4
checked on May 10, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.