TWO-EPOCH OPTIMAL DESIGN OF DISPLACEMENT MONITORING NETWORKS
DOI:
https://doi.org/10.5380/bcg.v21i3.43233Keywords:
Gauss-Helmert Model, Least-Squares, Optimal Variance, Precision of DisplacementsAbstract
In the traditional method of optimal design of displacement monitoring networks a higher precision, √2 times better than the desired accuracy of displacements, is considered for the net points in such a way that the accuracy of the detected displacements meets the desired one. However, in this paper, we develop an alternative method by considering the total number of observations in two epochs without such a simple assumption and we call it two-epoch optimisation. This method is developed based on the Gauss-Helmert adjustment model and the variances of the observations are estimated instead of the weights to optimise the observation plan. This method can deliver the same results as the traditional one, but with less required observations in each epoch.
Downloads
How to Cite
Issue
Section
License
Submission of an original manuscript to the Journal will be taken to mean that it represents original work not previously published, that is not being considered elsewhere for publication.
The BCG allows the author(s) to hold the copyright without restrictions and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
The BCG also allows the authors to retain publishing rights without restrictions.
