H. Mahdizadeh; Y. Djamour
Abstract
Today, with the use of Global Positioning System (GPS), it is possible to determine the geodetic height (relative to a Reference Ellipsoid) in easy mode with less time and cost. Despite of some advantages for leveling with GPS (GPS/Levelling) relative to traditional leveling, there is an important limitation ...
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Today, with the use of Global Positioning System (GPS), it is possible to determine the geodetic height (relative to a Reference Ellipsoid) in easy mode with less time and cost. Despite of some advantages for leveling with GPS (GPS/Levelling) relative to traditional leveling, there is an important limitation which indicates the difference between Ellipsoid (as the reference datum for geodetic height) and Geoid (as the reference datum for orthometric height) named geoidal height. In order to achieve maximum accuracy in height component and then evaluating the quality results, different aspects of GPS/Levelling are considered in this study. In order to study the Feasibility of replacing precise levelling with GPS in Iran, a part of 55 km physical geodesy and geodynamic network in Azerbaijan region as well as the dense geodetic multipurpose network in Qeshm island were used. Based on different distances between each couple of points, this information, consisting of Orthometric and Geodetic heights for each point, is classified in 5 groups. The last Geoid model of Iran (IRGeoid10) with an absolute average accuracy of ±26 cm and a relative average accuracy of ±2.8 ppm are used for geoidal height. Obtained results show the accuracy of leveling height difference with GPS would be reduced by increasing the length of baseline. Index K as a criterion for determining level degree was calculated. This index shows that levelling with GPS in Iran could provide a precision of 4th degree leveling which can serve many engineering applications.
M Talebian; M Shahpasand-Zadeh; Y jamour; M.R Sepahvand; A Arabpour
Abstract
Determination of inter-seismic deformations such as fault slip-rate can usually be achieved by using geodetic observations, earthquake geology and paleo-seismology, as well as mechanical, empirical and numerical modeling. In these models, combination of the fault seismic parameters and the GPS data can ...
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Determination of inter-seismic deformations such as fault slip-rate can usually be achieved by using geodetic observations, earthquake geology and paleo-seismology, as well as mechanical, empirical and numerical modeling. In these models, combination of the fault seismic parameters and the GPS data can help estimate the fault slip-rate, the elastic thickness of the lithosphere, the earthquakes recurrence time, the relaxation time of the asthenosphere, the elapsed time of earthquake and the locking depth of the fault. In this study, we utilize the geodetic data of the North Tabriz Fault (NTF) by using random Bootstrap sampling and conducting numerical modeling by code writing in the R and MATLAB softwares. In this concern, the fault slip-rate and elastic layer thickness are estimated to be ~4-6.5±1 mm/yr and ~5-25 km, respectively, for the NW segment of the NTF. Similarly, model results for the SE segment of the fault indicate a slip-rate of ~3.5-5.5±1 mm/yr and elastic layer thickness of ~8-16 km. For the NW segment of the NTF, the asthenosphere relaxation time, earthquake recurrence time and elapsed time are estimated to be ~160-185 years, ~650-950 years and ~200-1400 years, respectively. Model results for the SE segments of the NTF indicate an asthenosphere relaxation time of ~220-340 years, an earthquake recurrence time of ~750-1050 years and an elapsed time of ~200-1500 years, respectively. The results are well consistent with the other paleoseismological and geological results.
o Memarian Sorkhabi; Y Djamour
Abstract
In order to study the crustal movements in Iran, establishment of several campaign GPS networks in 1998 seriously initiated geodynamical activities. After that in 2005, a network of ~120 permanent GPS stations named Iranian Permanent GPS Network (IPGN) has been installed to complete the campaign GPS ...
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In order to study the crustal movements in Iran, establishment of several campaign GPS networks in 1998 seriously initiated geodynamical activities. After that in 2005, a network of ~120 permanent GPS stations named Iranian Permanent GPS Network (IPGN) has been installed to complete the campaign GPS networks already existing in Iran. Thanks to all campaign and continuous GPS sites, there are many geodetic velocity vectors indicating kinematic behavior of the crust at their positions. Now, the main question is about geodetic velocity for any other arbitrary station. Evidently, the best reliable solution is installing more GPS stations and recording satellite signals, which need considerable cost and time. Another solution, which could be an appropriate alternative, is applying some modern and smart estimation methods such as “Artificial Neural Networks (ANN)”. The main advantages of ANN method are capability learning of networks, parallel processing and computation flexibility. Based on 42 GPS velocity vectors existing in NW Iran, we estimated new velocity vectors for some arbitrary positions in study area by using two estimation methods: “Back Propagation Artificial Neural Networks (BPANN)” and “Collocation”. This estimation was run in 2 models including 2 different reference stations but the same check points. The results from model 1 (with fewer reference points) showed BPANN’s RMSE in E and N components is ±2 mm and ±3.5 mm respectively, which is less than Collocation’s RMSE. The results from model 2 (with more reference points) showed BPANN’s RMSE in E and N components increased to ±1 mm and ±1.5 mm respectively. Therefore, it seems BPANN method could be considered as a good alternative to estimate geodetic velocity field relative to other classical estimation methods.
