Optimal Space Interpolation Method for Continuous Marine Vertical Datum Based on WGS-84 Ellipsoid

Kim Jaemyeong,Yoon Hasu,Lee Wonjong,Choi Yunsoo

doi:10.18494/sam.2019.2607

Abstract

Optimal Space Interpolation Method for Continuous Marine Vertical Datum Based on WGS-84 Ellipsoid

Highlights

One of the most important current issues today in hydrographic surveys and information production is the use of the ellipsoidal height as the vertical standard in surveys
Curtarelli and co-workers performed the mapping of the water depth of the Amazon hydraulic reservoir by spatial interpolation methods, and through cross-validation, they found the conventional kriging interpolation method to be the most suitable.[11,12] Georgas et al found spline interpolation with barriers to be the most suitable method by comparing observed values with a vertical datum after applying interpolation for a vertical datum of the Hudson river and constructing its tide level model.[13]. Kim et al constructed a tide level model showing the relationship between the approximate lowest low water (ALLW) and the regional mean sea level (MSL) by spatial interpolation after extracting the semi-range sum of four largeness tide values (Z0) in the tidal benchmark performance
Our analysis shows a slightly larger error in the initial variance, which means that the performance of the tidal benchmark in coastal regions does not match that of the geoid height

Summary

Introduction

One of the most important current issues today in hydrographic surveys and information production is the use of the ellipsoidal height as the vertical standard in surveys. Curtarelli and co-workers performed the mapping of the water depth of the Amazon hydraulic reservoir by spatial interpolation methods, and through cross-validation, they found the conventional kriging interpolation method to be the most suitable.[11,12] Georgas et al found spline interpolation with barriers to be the most suitable method by comparing observed values with a vertical datum after applying interpolation for a vertical datum of the Hudson river and constructing its tide level model.[13] Kim et al constructed a tide level model showing the relationship between the approximate lowest low water (ALLW) and the regional MSL by spatial interpolation after extracting the semi-range sum of four largeness tide values (Z0) in the tidal benchmark performance They deduced, through cross-validation, that spline interpolation would be the most suitable method.[14] Jeong et al constructed a submarine topography model through spatial interpolation using water depth data for the Jeju area. They deduced that kriging interpolation would be the most suitable method and considered that the point density features of the collected data affected its accuracy.[15]

Objectives

Methods

Conclusion