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In this paper, the dynamic adjustment models for leveling networks have been discussed. Though the models proposed are dynamic physically, the conventional static approach was adopted in the treatment based on the theory of freenet adjustment with rankdeficient. In order to reduce the number of unknowns, the differences of the observed height differences at two epochs were taken and viewed as the observables while the displacements and accelerations of the vertcal deformation served as the unknown parameters. The model so molded is referred to as "The dynamic adjustment model by differencing". The leveling data of Taipei Basin observed over the period from 1992 to 1996 were analyzed for detecting its deformation. In addition,the compaisons for suitability of method were made bdtween the one-phase adjustment and the two-phase adjustment. The former involves using simult aneously all the observables of the network for forming the observation equation, where as the latter needs to adjust first a main nodal network and the adjustment of the network as a whole is subsequently run by the constrained trchnique using the results due to main nodal network as the constraints.
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