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

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 c...

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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
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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
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spelling my.utm.1036352023-11-20T03:32:32Z http://eprints.utm.my/103635/ Performance of bursa-wolf model for deforming region: Case study in Malaysia Azahar, N. Wan Aris, W. A. Musa, T. A. Omar, A. H. Musliman, I. A. G109.5 Global Positioning System 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. 2021 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/103635/1/WanAnomWanAris2021_PerformanceofBursaWolfModel.pdf Azahar, N. and Wan Aris, W. A. and Musa, T. A. and Omar, A. H. and Musliman, I. A. (2021) Performance of bursa-wolf model for deforming region: Case study in Malaysia. In: 2021 Joint International Conference on Geospatial Asia-Europe 2021 and GeoAdvances 2021, 5 October 2021 - 6 October 2021, Casablanca, Morocco. http://dx.doi.org/10.5194/isprs-archives-XLVI-4-W3-2021-39-2022
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic G109.5 Global Positioning System
spellingShingle G109.5 Global Positioning System
Azahar, N.
Wan Aris, W. A.
Musa, T. A.
Omar, A. H.
Musliman, I. A.
Performance of bursa-wolf model for deforming region: Case study in Malaysia
description 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.
format Conference or Workshop Item
author Azahar, N.
Wan Aris, W. A.
Musa, T. A.
Omar, A. H.
Musliman, I. A.
author_facet Azahar, N.
Wan Aris, W. A.
Musa, T. A.
Omar, A. H.
Musliman, I. A.
author_sort Azahar, N.
title Performance of bursa-wolf model for deforming region: Case study in Malaysia
title_short Performance of bursa-wolf model for deforming region: Case study in Malaysia
title_full Performance of bursa-wolf model for deforming region: Case study in Malaysia
title_fullStr Performance of bursa-wolf model for deforming region: Case study in Malaysia
title_full_unstemmed Performance of bursa-wolf model for deforming region: Case study in Malaysia
title_sort performance of bursa-wolf model for deforming region: case study in malaysia
publishDate 2021
url 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
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score 13.211869