Determination of experimental sensitivity capacities against crustal movements of dense-geodetic networks: a real GPS network application

2019 ◽  
Vol 12 (18) ◽  
Author(s):  
Haluk Konak ◽  
Pakize Küreç Nehbit ◽  
Cankut Dağdal İnce
2021 ◽  
pp. 464-468
Author(s):  
A.D. Tikhonov ◽  
A.A. Kochiev

The article deals with determination of coordinates using global navigation systems, and application of the PPP data processing algorithm to obtain coordinates. The authors conducted an experiment illustrating the algorithm accuracy.


2003 ◽  
Vol 30 (2) ◽  
pp. 51 ◽  
Author(s):  
MÁRCIA CRISTINA MARINI ◽  
JOÃO FRANCISCO GALERA MONICO

This paper deals with some aspects which should be taken into account for the densification of geodetic network using GPS technology, specially in the concern of Earth body tide modes, ambiguity resolution and the variance propagation of the network constrains. Based on trials accomplished for a GPS network, some aspects of GPS network optimization and processing are presented. In network optimization, applied to GPS networks, are presented the Zero Order, First Order and Second Order Problems, showing the needs of planning the GPS observations and processing in such a way that one can reach the required accuracy with high reliability and low costs. In the tests to evaluate the need for applying Earth body tide model, it was verified that it is necessary for baselines longer than 200 km for the majority of network application. It was noticed that the ambiguity solution should always be analyzed before accepting a fixed solution as the best, since the presented results demonstrated that some fixed ambiguities are inconsistent. In the processing trials with fixed constrains (without taken into account the precision) or fiducial constrains (with associated precision), it was noticed that the former provided better dispersion values for the new points, however, the last one provided more reliable values, since the new points have associated with themselves the uncertainty of the datum points.


2021 ◽  
Vol 11 (24) ◽  
pp. 11606
Author(s):  
Sergey Agayan ◽  
Shamil Bogoutdinov ◽  
Dmitriy Kamaev ◽  
Vladimir Kaftan ◽  
Maxim Osipov ◽  
...  

The article addresses the issue of clustering of multidimensional data arrays with a noise using the methods of discrete mathematical analysis (DMA clustering). The theory of DMA clustering through the logical densities calculus is detailed, and the new algorithm Linear Discrete Perfect Sets (LDPS) is described. The main objective of the LDPS algorithm is to identify linearly stretched anomalies in a multidimensional array of geo-spatial data (geophysical fields, geochemistry, satellite images, local topography, maps of recent crustal movements, seismic monitoring data, etc.). These types of anomalies are associated with tectonic structures in the upper part of the Earth’s crust and pose the biggest threat for integrity of the isolation properties of the geological environment, including in regions of high-level radioactive waste disposal. The main advantage of the LDPS algorithm as compared to other cluster analysis algorithms that may be used in arrays with a noise is that it is more focused on searching for clusters that are linear. The LDPS algorithm can apply not only in the analysis of spatial natural objects and fields but also to elongated lineament structures.


Author(s):  
Wolfgang W. Niemeier ◽  
Julio Roldan ◽  
Luis Aguilar ◽  
Hans Pelzer ◽  
Andreas Bagge ◽  
...  
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document