Survey
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
International Conference Data Mining, Civil and Mechanical Engineering (ICDMCME’2014), Feb 4-5, 2014 Bali (Indonesia) Determining Lat Using Tide Modeling Tpxo Io (A Case Study: Fani Island) Muhammad Taufik, and Dika Ayu Safitri II. GEOGRAPHYCAL OF FANI ISLAND Abstract— One of outer-lying islands that belong to NKRI is Fani Island. Fani island has important role to determining maritime boundaries because the location opposite to Republic Palau. To determining maritime boundaries, based on UNCLOS 1982, Lowest Astronomical Tide (LAT) was used to reference in base line delineation which is used to determine maritime boundaries. Unfortunately, there is not available permanent tide gauge in Fani island, so that there is no tide data in that island. To resolve that problem, using tide modeling is the best way. Currently tide modeling has evolved, one of them is TPXO tide modeling by Egbert. The method used to compute the model is assimilation data between altimetry satellite data and tide gauge data. In this research using TPXO with Indian Ocean (IO) region and the result is tidal constituents which are M2, S2, N2, K2, K1, O1, P1, and Q1. Tidal constituents showed that the highest amplitude is M2 with 0,5 meters and the lowest is Q1 with 0,025 meters. Based on tidal constituents, LAT in Fani island is -1,282 meters. Fani Island is one of outer-lying that belongs to Indonesia. Fani Island is located at 1°3'38"N ; 131°15'54"E,. In addition, Fani Island is one of Raja Ampat archipelagic series which is opposite with one of island that belongs to Republic of Palau (Helen Island). Indonesia’s government already built base points (in Indonesia called Titik Dasar (TD)) and in Fani Island, they are TD no. 66 (1°05'20"N ; 131°15'35"E) and TD no. 66A (1°04'28"N ; 131°16'49"E). This is the best way for outer-lying island security for Indonesia [3] Keywords— Fani Island, Tide modeling TPXO IO, Lowest Astronomical Tide (LAT). I. INTRODUCTION NDONESIA is an archipelagic country which has a lot of islands. It consists of small and big islands. Those islands have an important role for Indonesia’s sovereignty, especially for maritime boundary issue. UNCLOS 1982 said that Lowest Astronomical Tide (LAT) is reference for maritime boundary. Therefore, the aim in this research is determining Lowest Astronomical Tide (LAT) in outer-lying islands belong to Indonesia which is Fani Island. LAT is a calculation from tidal constituent. Fani Island did not have permanent tide gauge because there is unavailable tide data in that island. To resolve that problem, the best way is using global tide modeling. The global tide modeling that is used in this research is Generalized Inversion (GI) schema by Egbert [4] , which called TPXO. The TPXO method is using assimilating data from altimetry satellite and tide gauge. Furthermore, The data type for this research is TPXO Indian Ocean (TPXO IO) due to Fani island’s location. I Fig. 1 Fani Island Nautical Chart by DISHIDROS Picture 1 shows that Fani Island belongs to Asia’s island ( Pulau – Pulau Asia) which consists of two other island, they are Igi island and Miarin island. Fani island is the biggest in those series islands. Fani Island is located in Pasifik Ocean which has some threatens for Fani Island such as big wave and it makes changing of coast line. If that condition is not anticipate earlier, it will make significant effect. One of real anticipate from Indonesia’s government is making a law according to government regulation number 38 year 2002 (PP no. 38 / 2002) which consists of base point coordinate list around Indonesia. Muhammad Taufik is Head of Geodynamics and Environmental Laboratory – Sepuluh Nopember Institute of Technology, Surabaya, 60111, East Java, Indonesia. (Phone: +628563381574, e-mail: taufik_srmd@ yahoo.com). Dika Ayu Safitri, was master student program for Geomatics Engineering in Sepuluh Nopember Institute of Technology, Surabaya, 60111, East Java, Indonesia. (e-mail : [email protected]). http://dx.doi.org/10.15242/IIE.E0214052 112 International Conference Data Mining, Civil and Mechanical Engineering (ICDMCME’2014), Feb 4-5, 2014 Bali (Indonesia) Based on DISHIDROS’s report [2], base point in Fani island was used to determine tide in that island. Unfortunately, the result cannot be used because of limited data of surveying. To find out tide value in Fani Island, government should build permanent tide gauge which can detect the tide. 108 cycles (all available data for depth<2000m); 11 Antarctic tide gauges. 1184 representers; 84220 data sites. [7] IV. LOWEST ASTRONOMICAL TIDE (LAT) Tides is the vertical movement of ocean water that occurs periodically caused by the attraction of celestial objects (especially the moon and the sun) to the earth, as well as other forces, such as gravity and centripetal force [5]. Three basic tidal patterns occur along the Earth’s major shorelines. In general, most areas have two high tides and two low tides each day. When the two highs and the two lows are about the same height, the pattern is called a semi-daily or semidiurnal tide. If the high and low tides differ in height, the pattern is called a mixed semidiurnal tide. Some areas, such as the Gulf of Mexico, have only one high and one low tide each day. This is called a diurnal tide. The U.S. West Coast tends to have mixed semidiurnal tides, whereas a semidiurnal pattern is more typical of the East Coast (Sumich, J.L., 1996; Thurman, H.V., 1994; Ross, D.A., 1995). [6] Based on Arcticle 5 of United Nations Convention on the Law of the Sea (UNCLOS) 1982, the normal baseline for measuring the breadth of the territorial sea is the low-water line along the coast as marked on large-scale charts officially recognized by the coastal state. By Arsana [1], as a general definition, the normal baseline can be considered the lowwater line along the continental shore and around islands. This includes the outer limits of permanent harbour works, the lowwater line along certain low-tide elevations, and the seaward low-water line of atoll reefs and fringing reefs around islands (IHO Special Publication No 51, 1993: 74). [1] The low-water line was description called Lowest Astronomical Tide (LAT). LAT was calculated some tidal constituents. [8] III. GLOBAL TIDE MODELING TPXO IO Global tide modeling used to find out tide value in area which do not have permanent tide gauge. Global tide modeling commonly uses FES, NAO, GOT and many more. In this research, global tide modeling used TPXO. TPXO is a current version of a global model of ocean tides, which best-fits, in a least-squares sense, the Laplace Tidal Equations and along track averaged data from TOPEX/Poseidon and Jason (on TOPEX/POSEIDON tracks since 2002) obtained with OTIS. The methods used to compute the model are described in details by Egbert, Bennett, and Foreman(1994) and further by Egbert and Erofeeva (2002). [11] The tides are provided as complex amplitudes of earthrelative sea-surface elevation for eight primary (M2, S2, N2, K2, K1, O1, P1, Q1), two long period (Mf , Mm) and 3 nonlinear (M4, MS4, MN4) harmonic constituents, on a 1440x721, 1/4 degree resolution full global grid (for versions 6.* and later). [11] In this research, tidal constituent used M2, S2, N2, K2, K1, O1, P1, and Q1 because all of the constantans have important values. TPXO global tidal modeling has many regional data type. It is based on the area to be modeled. Fani Island located in the Pacific Ocean which is the frame of regional data type covered some area in Indonesia and this frame is called India Ocean (IO) in TPXO regional data type. Zo – All Constituents (AC) …………….. Zo = Mean Sea Level (MSL) AC = M2, S2, N2, K2, K1, O1, P1, and Q1. Formula 1 Determining of tidal constituents to calculate LAT depends on regional area. Some area are not use formula 1, tidal constituents for LAT are not that number, sometimes more than that number or less. [There are a few regions which use constantans that are not appropriate with this research because of the shoreline geography.] V. DATA AND PROCESSING A. Validation data Validation data is an important step to identify TPXO global tide modeling for providing accurate tide for Fani Island. Validation area for this research is Manokwari, Raja Ampat, and Ambon. They have permanent tide gauge built by Badan Informasi Geospasial (BIG) or Geospatial Information Agency. Moreover, those locations are close to Fani Island. Tide data from those areas will be compared with TPXO global tide modeling. After that step, tidal constituents from TPXO global tide modeling considerably have accurate value to determine LAT. Fig. 2 TPXO Indian Ocean Data TPXO global tidal modeling using Bathymetry data is developed by Smith and Sandwell, v.12.1; with resolution 1/12º; the calculated tidal constituents are m2, s2, n2, k2, k1, o1, p1, q1, m4, ms4, mn4. Those data will be assimilated with Altimetry Satellite Topex Poseidon 531 cycles (each 2nd along track for deep water H>2000m and all available for shallow water H<2000m); Topex Tandem 114 cycles (all available data in shallow water H<2000m); ERS http://dx.doi.org/10.15242/IIE.E0214052 113 International Conference Data Mining, Civil and Mechanical Engineering (ICDMCME’2014), Feb 4-5, 2014 Bali (Indonesia) Manokwari is the capital of West Papua and is one of the largest cities in Indonesia. BIG has built a permanent tide gauge in Manokwari at 0°52'06"S and 134°04'32"E. In this research, Manokwari tide data were recorded on January 1, 2011 - January 1, 2012. TIDAL CONSTITUENTS IN MANOKWARI Tidal Amplitude Fase Constituents (meters) (radian) 0,49268 290,1 S2 0,18237 319,5 N2 0,0974 272,9 K2 0,04817 312,06 K1 0,20888 79,68 O1 0,14206 64,27 P1 0,06712 Q1 0,02702 175,69 0,094462 194,43 Q1 0,061005 167,55 TABLE IV ACCUMULATE ERROR FOR VALIDATION DATA Tidal constituents by T_tide – Area Validation tidal constituents by TPXO IO (meters) Manokwari 0,0024375 75,2 Raja Ampat 0,035716 49,58 Ambon 0,022559875 B. LAT in Fani island Fani Island coordinates was represented by two base points (TD) on the Island. They are TD no. 66 and TD no. 66A. TD no. 66 is located in 1°05'20 "N and 131°15'35”E and TD no. 66A in 1°04'28"N and 131°16'49"E. TPXO global tide modeling showed that tidal constituents in those two base points have same amplitude because the location was so close. Table 5 shows the highest amplitude of M2 with 0,5 meters and the lowest amplitude of Q1 with 0,025 meters. Raja Ampat is in West Papua. There are 4 large Islands in Raja Ampat, which are Missol Island, Salawati, Batanta and Waigeo. BIG has built permanent tide gauge in Raja Ampat at 0°03'24"S and 130°58'50"E. In this research, Raja Ampat tide data were recorded on 11 Feb 2011 - 31 December 2012. TABLE II TIDAL CONSTITUENTS IN RAJA AMPAT Tidal Amplitude Fase Constituents (meters) (radian) M2 0,499712 139,89 S2 0,196325 207,65 N2 0,098972 121,24 K2 0,051755 230,05 K1 0,16924 187,36 O1 0,102525 175,69 P1 0,05032 194,43 Q1 0,018583 167,55 TABLE V TIDAL CONSTITUENTS IN FANI ISLAND USING TPXO IO Tidal Amplitude Fase Constituents (meters) (radian) Ambon is the capital of the province of Maluku and located in west of Irian Jaya. BIG has built permanent tide gauge in Ambon on 3°38'21”S and 128°12'01"E. In this research, Ambon tide data were recorded on 17 April 2013 - September 10, 2013. M2 0,459296 139,89 S2 0,143372 207,65 N2 0,113526 121,24 K2 0,039019 230,05 K1 0,285444 187,36 M2 0,5 -71,7 S2 0,21 -43,5 N2 0,093 -90,3 K2 0,058 -45,3 K1 0,197 81,4 O1 0,136 68,7 P1 0,063 79,1 Q1 0,025 64,6 Determining LAT in Fani Island used formula 1, the used tidal constituents are M2, S2, N2, K2, K1, O1, P1, and Q1. In table 6 showed some references datum for tide. They are Highest Astronomical Tide (HAT), Highest High Water Level (HHWL), Mean High Water Level (MHWL), Mean Sea Level (MSL), Mean Low Water Level (MLWL), Chart Datum Level (CDL), Lowest Low Water Level (LLWL), and Lowest Astronomical Tide (LAT). These references datum uses tidal constituents from TPXO IO global tide modeling. TABEL III TIDAL CONSTITUENTS IN AMBON Tidal Amplitude Fase Constituents (meters) (radian) http://dx.doi.org/10.15242/IIE.E0214052 0,212729 P1 Tidal constituents in table 1, 2 and 3 were calculated by T_tide program, after that tidal constituents on those locations are calculated with TPXO IO global tide modeling. In table 4 shows the lowest accumulate error in Manokwari with 0,0024375 meters and the highest in Raja Ampat with 0,035716 meters. TABLE I M2 O1 114 International Conference Data Mining, Civil and Mechanical Engineering (ICDMCME’2014), Feb 4-5, 2014 Bali (Indonesia) TABLE VI TIDE IN FANI ISLAND Definisi Highest Astronomical Tide Highest High Water Level Mean High Water Level Istilah Perhitungan HAT HHWL Xo+(M2+S2+N2+K2+K1 +O1+P1+Q1) Xo+(M2+S2+K2+K1+O1 +P1) Hasil (m) MSL Xo Mean Low Water Level MLWL Xo-(M2+K1+O1) -0,833 Chart Datum Level CDL Xo-(M2+S2+K1+O1) -1,043 Lowest Astronomical Tide LAT OTIS Regional Tidal Solutions. Indian Ocean : Retrieved on 20 January 2014 at 6 pm from http://volkov.oce.orst.edu/tides/IO.html [8] Poerbondono dan Durnarsjah. Survei Hidrografi. Bandung. PT. Refika Aditama. 2005. [9] Republic of Indonesia. Peraturan Pemerintah Republik Indonesia Nomor 38 Tahun 2002 Tentang Daftar Koordinat Geografis Titik-Titik Garis Pangkal Kepulauan Indonesia. 2002. [10] Republic of Indonesia. Peraturan Pemerintah Republik Indonesia Nomor 37 Tahun 2008 Tentang Daftar Koordinat Geografis Titik – Titik Garis Pangkal Kepulauan Indonesia. 2008. [11] The OSU/ TOPEX Poseidon Global Inverse Solution TPXO. TPXO : Retrieved on 20 January 2014 at 6 pm from: http://volkov.oce.orst.edu/tides/global.html [12] United Nations. 1982. United Nations Convention on the Law of the Sea. Retrieved on 10 January 2014 at 1 pm from: http://www.un.org/depts/los/convention_agreements/texts/unclos/unclos _e.pdf 0,833 0 -1,164 -1,282 According to [9 and 10], TD no. 66 was used as baseline reference delineation and TD no. 66A was used as straight archipelagic baselines reference delineation. Table 6 showed that LAT in Fani Island is -1,282 meters, which assume MSL is 0 meters. VI. CONCLUSION Determining tide in outer-lying islands using global tide modeling is the best way for that area which did not have permanent tide gauge. TPXO IO global tide modeling gave accurate tidal constituents in validation process which represents in Manokwari, Raja Ampat and Ambon. Tidal constituents of tide gauge from BIG have similar value with tidal constituents from global tide modeling TPXO IO. Tidal constituents have been calculated by TPXO IO showed that LAT in Fani Island is -1,282 meters. This research needs accurate tide data to compare with other global tide modeling for the best result. The LAT in this research can be used as consideration to maritime boundary delineation between Indonesia and Republic of Palau. ACKNOWLEDGMENTS We would like to thank to Badan Informasi Geospasial (BIG) to support this research in processing data using TPXO IO tide modeling, specially Mr. Ibnu Sofian as advisor ; DISHIDROS to provide the navigation chart (Fani island); and Geomatics Engineering Master Program – Sepuluh Nopember Institute of Technology Surabaya. REFERENCES [1] [2] [3] [4] Arsana, I Made Andi. 2006. Critical Study On The Technical Aspects Of The Maritime Boundary Delimitations. Thesis. Master of Engineering School of Surveying and Spatial Information Systems. The University of New South Wales. Dishidros. Laporan Survei dan Pemetaan Base Point XVIII Perairan Utara Irian Jaya. Jakarta. Dinas Hidrografi TNI AL (Dishidros). 1993. D.A.Safitri. Studi Dampak Perubahan Garis Pantai Pulau Kecil Terluar Dengan Metode Multi Temporal Dari Satelit Altimetry Untuk Penentuan Batas Maritim (Studi Kasus : NKRI dan Republik Palau). Thesis in Department of Geomatics Engineering. Surabaya. Institut Teknologi Sepuluh Nopember Surabaya. 2013. Egbert, Gary and Erofeeva, Avetlana. Efficient Inverse Modelling of Barotropic Ocean Tides. Journal of American Meteorological Society. 2002. http://dx.doi.org/10.15242/IIE.E0214052 Noaa ocean service education. Tides and Water Levels : January 2014 at 6 pm from Retrieved on 17 http://oceanservice.noaa.gov/education/kits/tides/tides07_cycles. html [7] Mean Sea Level LLWL [6] 1,164 Xo+(M2+K1+O1) Xo(M2+S2+K2+K1+O1+P1) Xo(M2+S2+N2+K2+K1+O1 +P1+Q1) Kelompok Bidang Keahlian Kelautan. Diktat Kuliah ”Pendidikan Survey Hidrografi ITB – Pertamina”. Bandung: Jurusan Teknik Geodesi - ITB. 1989. 1,282 MHWL Lowest Low Water Level [5] 115