Document Type : Original Research Paper


1 Khajeh Nasir university of technology ,Tehran, Iran

2 Khajeh Nasir university of technology ,Tehran, Iran.

3 National Cartographic Center (NCC), Tehran, Iran


In this study work the idea of the optimal design of GPS monitoring network is extended in order to estimate the parameters of a single strike slip fault: i.e. slip rate and locking depth. By using some numerical examples, the influence of the GPS station distances from the fault trace has been investigated. The results show that far GPS stations have more advantages for estimating of slip rate. In contrast, the near stations are important for locking depth.


Chen et al., 1983 - Design considerations in deformation monitoring. FIG XVII International congress, Sofia, Bulgaria, paper No. 608.2
Grafarend, E., 1974 - Optimization of geodetic networks. Bolletino di geodesi a science affini, V.33, N.4 , PP.351-406
Grasimenko M. D. et al., 2000- ”on optimal geodetic network design for fault-mechanics studies”, Earth Planets Space, 52,PP.985-987
Haupt, L. R. &  Haupt, S. E., 2004 - Practical genetic algorithm. Published by John Wiley & Sons, Inc., Hoboken, New Jersey
Jicang, W. U., 2004 - First-order optimization for GPS crustal deformation monitoring. The Hong KongPolytechnicUniversity
Jin, Y. Q. & Wang, Y., 2001- A genetic algorithm to simultaneously retrieve land surface roughness and soil wetness. International Journal of    remote sensing, 22(16), PP. 3093–3099.
Johnson, H. O., Wyatt, F. K., 1994 - Geodetic network design for fault-mechanics studies. Manuscripta Geodaetica, 19, PP. 309-323
Kuang, S-l, 1991- Optimization and design of deformation monitoring schemes. Department of SurveyingEngineeringUniversity of New Brunswick.
Savag, J. C. &  Prescott, W.H., 1978 - Asthenospheric readjustment and the earthquake cycle. journal of Geophysical Research Letters., 83.
Wyatt, F., 1989 - Displacement of surface monuments: vertical motion, 94, P.1655-1664
Zhan, H.G., Lee, Z.P., Shi, P., Chen, C.Q. & Carder, K.L., 2003- Retrieval of water optical properties for optically deep waters using genetic algorithms.  IEEE Transactions on Geosciences and Remote Sensing. 41(5), pp.1123–1