Improved Geoid Modeling Using Observed and Modeled Gravity Gradients in Taiwan
Publication: Journal of Surveying Engineering
Volume 143, Issue 2
Abstract
The authors present a new geoid modeling procedure that can greatly improve relative geoid accuracy in mountainous areas, leading to improved applications for modern geodetic techniques, such as light detection and ranging (LIDAR), in mapping orthometric heights over steep terrain on which precise slopes are needed to assess the risk of landslides and the suitability of industrial development. The new procedure (1) measures gravity gradients or computing modeled gravity gradients from a regular grid of gravity anomalies, (2) uses these gradients to refine gravity anomalies, and (3) uses the gravity anomalies to compute geoidal undulations. This new procedure was tested in Taiwan. In situ gravity gradients were measured at approximately 4,000 gravity sites to compare the modeled gravity gradients. In the test, ground gravity observations are reduced to gravity anomalies at mean sea surface using three types of gravity gradients: normal, modeled, and observed. The researchers’ geoid modeling uses the method of least-squares collocation (LSC) with the remove-compute-restore (RCR) procedure. Free-air gravity anomalies, as reduced using the observed and modeled gravity gradients, deviate from those using normal gradients by up to 100 mgal in high mountains. Using free-air gravity anomalies derived from observed and modeled gravity gradients, the authors can improve the relative geoid accuracies by up to 17 and 18 cm, respectively, for Route 3 (an area with high mountains) in Taiwan.
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Acknowledgments
This project is supported by the Ministry of Science and Technology of Taiwan under Grants 104-2221-E-005-078 and 103-2221-E-009-114 -MY3.
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© 2016 American Society of Civil Engineers.
History
Received: Feb 19, 2016
Accepted: Aug 10, 2016
Published online: Oct 5, 2016
Discussion open until: Mar 5, 2017
Published in print: May 1, 2017
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