Performance of bursa-wolf model for deforming region: Case study in Malaysia

• Main Authors: Azahar, N., Wan Aris, W. A., Musa, T. A., Omar, A. H., Musliman, I. A.
• Format: Conference or Workshop Item
• Language: English
• Published: 2021
• Subjects: G109.5 Global Positioning System
• Online Access: http://eprints.utm.my/103635/1/WanAnomWanAris2021_PerformanceofBursaWolfModel.pdf; http://eprints.utm.my/103635/; http://dx.doi.org/10.5194/isprs-archives-XLVI-4-W3-2021-39-2022

Bursa-Wolf model is a common mathematical approach for coordinate transformation practice between two reference frames. For the case of deforming region, the existing reference frame has been experiencing a non-linear shifting over the time due to co-seismic and post seismic occurrences. Imprecise coordinate in the reference frame definition could degrading critical positioning, surveying, and navigation activities. This require a new realization of reference frame and the coordinate transformation linkage is suggested to be developed in relating the new and existing reference frame. This study provides performance of Bursa-Wolf model as coordinate transformation approach for a deforming region that is experiencing non-linear shifting due to the co-seismic and post-seismic events. The Bursa-Wolf were generated from 32 dependent Global Positioning System (GPS) Continuously Operating Reference Stations (CORS) in Malaysia meanwhile another 20 independent neighbouring stations were utilized for assessment purposes. Seven parameters (7p) of Bursa-Wolf were estimated with RMS at ±4.5mm, ±9.2mm and ±2.1mm respectively. The independent stations were classified as internal and external assessment station and the root mean square (RMS) were found at less than 10mm. The internal station has depicted a better RMS in each component which are ±5.1mm, ±6.5mm and ±1.5mm respectively. Meanwhile for external stations RMS in each component are ±6.1mm, ±8.7mm and ±3.5mm respectively. The result shows that Bursa-Wolf model is sufficient to be used as coordinate transformation approach for deforming region.