Accuracy Assessment of the Geospatial Information Agency’s Tidal Prediction

Khomsin, Danar Pratomo

2018

Abstract

Bathymetric survey requires tide data to reduce sounding data to the preferability vertical datum. A tidal observation is performed in the vicinity of the survey area to achieve the tide correction for the depth measurement. In order to obtain vertical references, it is necessary to conduct a direct tide observation for at least 15 days period. An in-situ tidal observation takes high operating cost and needs a lot of effort to install a tide gauge in the survey area. Thus, to reduce the time and the cost for tide observation, tidal prediction data can be used as an alternative solution. This research attempted to perform the accuracy assessment of the tidal prediction model from Geospatial Information Agency (BIG). There are 128 tidal stations from BIG which spread across Indonesia archipelago. These stations provide real time tide observation. Based on the data, BIG established a tidal prediction model for Indonesia waters. The research examined the BIG tide model with direct tidal observation data from two locations (Ambon and Cilacap). The results show the accuracy of tidal prediction from BIG is 0.085m for Ambon and 0.385m for Cilacap. The residual of MSL, HHWL, and LLWL between tidal prediction and in-situ data in Ambon are -0.022m, -0.063m and +0.020m, and in Cilacap are - 0.147m, -0.122m, and -0.173m, respectively.

Paper Citation

in Harvard Style

Khomsin. and Pratomo D. (2018). Accuracy Assessment of the Geospatial Information Agency’s Tidal Prediction.In Proceedings of the 6th International Seminar on Ocean and Coastal Engineering, Environmental and Natural Disaster Management - Volume 1: ISOCEEN, ISBN 978-989-758-455-8, pages 65-70. DOI: 10.5220/0008374600650070

in Bibtex Style

@conference{isoceen18,
author={Khomsin and Danar Pratomo},
title={Accuracy Assessment of the Geospatial Information Agency’s Tidal Prediction},
booktitle={Proceedings of the 6th International Seminar on Ocean and Coastal Engineering, Environmental and Natural Disaster Management - Volume 1: ISOCEEN,},
year={2018},
pages={65-70},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008374600650070},
isbn={978-989-758-455-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Seminar on Ocean and Coastal Engineering, Environmental and Natural Disaster Management - Volume 1: ISOCEEN,
TI - Accuracy Assessment of the Geospatial Information Agency’s Tidal Prediction
SN - 978-989-758-455-8
AU - Khomsin.
AU - Pratomo D.
PY - 2018
SP - 65
EP - 70
DO - 10.5220/0008374600650070