Rohmawati, Carina Nur (2020) Analisis Perbandingan Akurasi Model Pasang Surut Global (FES2014, TPXO9) dan Regional (Prediksi BIG) terhadap Kondisi Pasang Surut Eksisting di Perairan Surabaya dan Sekitarnya. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Data pasang surut (pasut) pengamatan yang berkelanjutan masih sangat terbatas. Permasalahan tersebut dapat diatasi dengan memanfaatkan model pasut global dan regional. Pada penelitian ini, data elevasi prediksi model dibandingkan dan tingkat kesalahan dianalisis. Data yang digunakan adalah data pengamatan pasut di lima stasiun pasut di Perairan Surabaya dan sekitarnya. Data tersebut memiliki panjang data 39 jam. Data prediksi pasut model regional (prediksi BIG) dan data 9 konstituen harmonik pasut model global (FES2014 dan TPXO9) dianalisis untuk mendapatkan konstituen harmonik pasut: M2, S2, K1, O1, Q1, N2, K2, P1, dan M4.
Data pengamatan pasut dan prediksi BIG diolah untuk memperoleh elevasi pasut 39 jam yang telah dikontrol kualitas begitu juga dengan data elevasi untuk prediksi model regional. Data model pasut global (FES2014 dan TPXO9), dilakukan interpolasi dan ekstraksi nilai konstituen harmonik pasut di titik stasiun kemudian dilakukan prediksi pasut menggunakan konstituen harmonik. Elevasi prediksi model regional dan global dilakukan koreksi shifting untuk menyamakan referensi terhadap elevasi pasut pengamatan. Perhitungan akurasi dilakukan dengan perhitungan tingkat kesalahan menggunakan RMSE.
Hasil perhitungan RMSE di seluruh stasiun pasut, model regional (prediksi BIG) memiliki nilai RMSE paling kecil dibandingan model global (FES2014 dan TPXO9) di 3 stasiun yaitu pada stasiun Gresik 1, Gresik 2, dan Gili Genting dengan nilai RMSE sebesar 0,303 m, 0,050 m, dan 0,155 m. Sedangkan nilai RMSE terbesar ditunjukkan oleh model global TPXO9 dibandingkan dengan model regional dan global (BIG Prediction dan FES2014) di 3 stasiun, yaitu di stasiun Gresik 1, Gresik 2, dan Bangkalan dengan nilai RMSE 0,420 m , 0,195 m dan 0,630 m.
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The tidal observation data in Indonesia is still very limited. These problems can be overcome by utilizing global and regional tidal models. In this study, the prediction elevation data of the models were compared and the error rate was analyzed. The data used in this research are tidal observation data at five tidal stations which are located in Surabaya and surrounding waters. These data have 39 hours duration. A regional model tide elevation data (BIG prediction) and global tidal models (FES2014 and TPXO9) were analyzed to achieve tidal harmonic constituents: M2, S2, K1, O1, Q1, N2, K2, P1, and M4.
Tidal observation data was processed to obtain the quality tidal elevation of 39 hours—likewise, the elevation data for regional model predictions. From the global tidal model (FES2014 and TPXO9), interpolation, and extraction of tidal harmonic constituents are performed at the tidal station point, and then the tidal prediction is done by using the harmonic constituent. Tidal elevation prediction of regional and global models is carried out, shifting correction to equalize the reference to observed tidal elevation. The accuracy calculation is done by calculating the error rate using RMSE.
The RMSE calculation results show that in all tidal stations, the regional model (BIG prediction) has the smallest RMSE value compared to the global tidal model (FES2014 and TPXO9) at three tidal stations namely at Gresik 1, Gresik 2, and Gili Genting with an RMSE value of 0.303 m, 0.050 m, and 0.155 m. At the same time, the TPXO9 global tide model shows the biggest RMSE compared to the regional and global tidal model (BIG Prediction and FES2014) at three tidal stations, namely at the Gresik 1, Gresik 2, and Bangkalan with RMSE values of 0.420 m, 0.195 m, and 0.630 m.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | akurasi, konstituen harmonik, model, pasang surut, RMSE, accuracy, harmonic constituents, models, tides, RMSE |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) T Technology > TC Hydraulic engineering. Ocean engineering > TC424 Water levels |
| Divisions: | Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis |
| Depositing User: | Carina Nur Rohmawati |
| Date Deposited: | 12 Aug 2020 07:13 |
| Last Modified: | 29 May 2023 08:22 |
| URI: | http://repository.its.ac.id/id/eprint/77480 |
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