Interpreting deformation results of geodetic network points using the strain models based on different estimation methods

Authors : Haluk KONAK, Pakize KÜREÇ NEHBİT, Aslıhan KARAÖZ, Fazilet CERİT

Pages : 49-59

Doi:10.26833/ijeg.581584

View : 12 | Download : 12

Publication Date : 2020-02-01

Article Type : Research Paper

Abstract :Geodetic Networks designed as Deformation Networks or Continuous Networks are observed in different epochs/ sessions and evaluated as a function of time. Those can be design as global GNSS networks for aim monitoring active tectonic movements or as regional densification geodetic and deformation networks for monitoring local earthquakes and surface movements. The areas covered geodetic networks are assumed as any surface on ellipsoid or sphere. Characteristics of surfaces are analyzed with Geometric Strain Models using deformation data on surface points. In this case, effect rates on geodetic network area are determined from local surface movements or regional active earthquakes and interpreted as experimental. On the other hand, undetermined outliers by model hypothesis test affect coordinate unknowns separately. Outliers cause deformations in certain magnitude on networks points. Therefore, network points strain in different rates and directions. Query of maximum affects caused by these strain rates is a referenced reliability method called `Robustness Analysis in Geodetic Networks”. Mentioned strain rates are modelled by various estimation methods. Thus, deformation results could be interpreted together by the obtained strain components and deformation vector. In this paper, possible strain components belonging to network points are determined with methods of L1 Norm, Least Median Squares insert ignore into journalissuearticles values(LMS); and Least Squares Estimation insert ignore into journalissuearticles values(LSE);. These estimation methods are tested on KOUSAGA insert ignore into journalissuearticles values(Kocaeli University Permanent GPS Network);. Strain components are estimated by use polyhedrons covered by network points. Obtained results are compared and analyzed according to weakness and strengths of proposed estimation methods.
Keywords : Deformation, Strain, Estimation Methods, KOUSAGA