Tidal Wave Height Estimation on The Southern Coast of Java Island Using Fuzzy Kalman Filter

Didik Khusnul Arif, Amelia Margaretha Sanioso, Erna Apriliani

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Considering that Indonesia has the second longest coastline in the world, information about tide height plays an important role. So far, tide height is only known at points where tidal station is available. Tide heights in areas without tidal station can be estimated using data assimilation method such as Kalman filter. In this study, the Fuzzy Kalman Filter (FKF) method is applied to a mathematical model of tidal waves to estimate tide height on the southern coast of Java. The estimation will be obtained at points with and without measurement data which are located in the coastal area between Pacitan and Sendang Biru tide stations. The points are determined with the help of a grid. After the grid is created, the depth at all points is obtained using interpolation and the initial and boundary conditions are determined. The FKF simulation results are compared with Ensemble Kalman Filter (EnKF) which has shown good performance in previous study. From the simulation results, it is found that the RMSE values of FKF are greater than those of EnKF which indicates poor estimation results. Therefore, the estimation is then done by combining fuzzy logic with EnKF which is called Fuzzy Ensemble Kalman Filter (FEnKF). Based on the simulation results, FEnKF gives smaller RMSE values than EnKF meaning FEnKF give better estimation of tide height than EnKF.

Original languageEnglish
Title of host publication8th International Conference and Workshop on Basic and Applied Science, ICOWOBAS 2021
EditorsAnjar Tri Wibowo, M. Fariz Fadillah Mardianto, Riries Rulaningtyas, Satya Candra Wibawa Sakti, Muhammad Fauzul Imron, Rico Ramadhan
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735442610
DOIs
Publication statusPublished - 25 Jan 2022
Event8th International Conference and Workshop on Basic and Applied Science, ICOWOBAS 2021 - Surabaya, Indonesia
Duration: 25 Aug 202126 Aug 2021

Publication series

NameAIP Conference Proceedings
Volume2554
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference8th International Conference and Workshop on Basic and Applied Science, ICOWOBAS 2021
Country/TerritoryIndonesia
CitySurabaya
Period25/08/2126/08/21

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