Assessment of Adjustments Methods in Traverse Networks for Positioning

Hart L.*, Basil D. D. and Oba T.

Department of Surveying and Geomatics, Faculty of Environmental Sciences, Rivers State University, Port Harcourt, Nigeria

*Corresponding Author: lawrence.hart@ust.edu.ng; basildevote@gmail.com

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 Vol. 5 No. 2  | October 2021 | Pages 354 – 364 |   Cite this article

https://doi.org/10.36263/nijest.2021.02.0283

Abstract

ABSTRACT

Various factors contribute to the degree of accuracy of the adjusted parameter (coordinate), one of which is the choice of adjustment model. Adjustment models seeks to eliminate (accounts) for the presence of random errors present in a given observations. The choice is critical for surveyors and other spatial analysts for optimal positioning and mapping projects since different adjustment models will yield different level of accuracy of spatial information generated irrespective of the quality of observations. For a traversing network, various adjustment models have been put forward which include; the Transit, the Bowditch, and the Crandels models. In spite of these models, internal consistency and reliability indicators of the network of positions are determined using the least squares adjustment model (observation equation and condition equation models). The aim of this work is to analyze the various traverse adjustment models. The approach deployed in this work was to compute the provisional coordinate of six traverse stations using the approximate methods of adjustment i.e., Bowditch and transit methods of traverse adjustment models. In addition, the least square adjustment models were deployed to minimize the propagation of residuals of the obtained values. The adjusted distances and directions were then compared with the observed distances and directions to obtain the residuals. The coordinate of positions was determined and the Root Mean Square Error (RMSE) associated with the traverse adjustment models are given as 0.128702264 and 0.008560954. Similarly, the RMSE of the adjusted values using the least square models are given as 0.007181432, and 0.005763969 for the observation and condition equation models respectively. The analysis of these results reveals that the traverse adjustment models are unique with capabilities embedded in the determination of the observables during data acquisition. However, for mapping and engineering survey of small locations, the transit method is more preferable to the Bowditch method.

Keywords: Adjustment models, Least squares adjustment, Traverse, Root Mean Square Error

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Hart L., Basil D. D. and Oba T., 2021. Assessment of Adjustments Methods in Traverse Networks for Positioning. Nigerian Journal of Environmental Sciences and Technology, 5(2), pp. 354-364. https://doi.org/10.36263/nijest.2021.02.0283


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