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| Titel |
Design and optimization of a GPS network |
| VerfasserIn |
L. Karimi Dehkordi, Y. Djamour, B. Vosoughi |
| Konferenz |
EGU General Assembly 2009
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 11 (2009) |
| Datensatznummer |
250024827
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| Zusammenfassung |
| Design and optimization of a GPS network
For fault studies
In this paper a monitoring GPS network has been designed for Bam Fault in order to estimate the fault-model parameters, slip-rate and locking-depth, as accurately as possible. We integrated geological constraints to the optimization problem which limits site locating, and optimization algorithm should search only some places which are stable enough for setting GPS stations up. The optimization tool is the Genetic Algorithm based on the principle of genetics as an intelligent method which gives the capacity of defining combined objective functions to optimize the network for various applications.
The examples show that changing the stations position improves the parameter accuracy from 16.1mm/yr to 1.2mm/yr for slip-rate and 8.1km to 1.3km for locking-depth.
Keywords: Fault model, Genetic Algorithm, Geological constraints, monitoring GPS network, optimization |
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