VERIFICATION OF PISCES DISSOLVED OXYGEN MODEL USING IN SITU MEASUREMENT IN BIAK, ROTE, AND TANIMBAR SEAS, INDONESIA

Armyanda Tussadiah, Joko Subandriyo, Sari Novita, Widodo Setyo Pranowo

Abstract

Dissolved oxygen (DO) is one of the most chemical primary data in supported life for marine organisms. Ministry of Marine Affairs and Fisheries Republic of Indonesia through Infrastructure Development for Space Oceanography (INDESO) Project provides dissolved oxygen data services in Indonesian Seas for 7 days backward and 10 days ahead (9,25 km x 9.25 km, 1 daily). The data based on Biogeochemical model (PISCES) coupled with hydrodynamic model (NEMO), with input data from satellite acquisition. This study investigated the performance and accuracy of dissolved oxygen from PISCES model, by comparing with the measurement in situ data in Indonesian Seas specifically in three outermost islands of Indonesia (Biak Island, Rote Island, and Tanimbar Island). Results of standard deviation values between in situ DO and model are around two (St.dev ± 2). Based on the calculation of linear regression between in situ DO with the standard deviation obtained a high determinant coefficient, greater than 0.9 (R2 ≥ 0.9). Furthermore, RMSE calculation showed a minor error, less than 0.05. These results showed that the equation of the linear regression might be used as a correction equation to gain the verified dissolved oxygen.

Keywords

verification; PISCES model; dissolved oxygen; in situ measurement; indonesia; linear regression

Full Text:

PDF

References

Abigail W, Zainuri M, Kuswardani ATD, Pranowo WS, (2015), Sebaran Nutrien, Intensitas Cahaya, Klorofil-a, dan Kualitas Air di Selat Badung, Bali pada Monsun Timur. Depik 4(2): 87-94. doi:http://dx.doi.org/10.13170/depik.4.2.2494.

Aumont O., (2004), PISCES Biogeochemical Model. 1–16.

Aumont O, Ethe C, Tagliabue A, Bopp L, Gehlen M., (2015), PISCES-v2: An Ocean Biogeochemical Model for Carbon and Ecosystem Studies. Geoscientific Model Development 8(8): 2465-2513.doi:10.5194/gmd-8-2465-2015.

Arifin T, Yulius, Arlyza IS, (2011), Pola Sebaran Spasial dan Karakterisitik Nitrat-Fosfat-Oksigen Terlarut di Perairan Pesisir Makassar. J Segara 7(2): 88–96.

Brasseur P, Gruber N, Barciela R, et al., (2009), Integrating Biogeochemistry and Ecology Into Ocean Data Assimilation Systems. Oceanography (22): 206–215.

Chai T, Draxler RR, (2014), Root Mean Square Error (RMSE) or Mean Absolute Error (MAE)?. Geoscientific Model Development. 7(3): 1247–1250. doi:10.5194/gmd-7-1247-2014.

Fikri A .,(2009), Penerapan Data Mining untuk Mengetahui Tingkat Kekuatan Beton yang Dihasilkan Dengan Metode Estimasi Menggunakan Linear Regression. 1–12.

Gorgues T, Menkes C, Aumont O, et al., (2005), Biogeochemical Impact of Tropical Instability Waves in The Equatorial Pacific. Geophys (32): 1-5. doi:10.1029/2005GL024110.

Harsono D, Damanik R., (2017), Lumbung Laut Papua. Pandiva Buku, Yogyakarta, 1-149.

INDESO – KKP, (2015), Product User Manual – Biogeochemical Model Outputs. INDESO: 1–16.

Joos F, Plattner GK, Stocker TF, et al., (2003), Trends in Marine Dissolved Oxygen: Implications for Ocean Circulation Changes and the Carbon Budget. EOS, 84(21): 197-199.

Kurniawan R, Permana DS, Suratno, Habibie MN, (2013), Verifikasi Luaran Model Gelombang Windwaves-05 Dengan Satelit Altimeter. J Meteorologi dan Geofisika 14(3): 149–158.

Kusumo ATS, (2010), Optimalisasi Pengelolaan dan Pemberdayaan Pulau-Pulau Terluar Dalam Rangka Mempertahankan Keutuhan Negara Kesatuan Republik Indonesia. 327–337.

Patty SI, (2013), Distribusi Suhu, Salinitas, dan Oksigen Terlarut di Perairan Kema, Sulawesi Utara. J Ilmiah Platax 1(3): 148–157.

Patty SI, Arfah H, Abdul MS, (2015), Zat Hara (Fosfat, Nitrat), Oksigen Terlarut dan pH Kaitannya dengan Kesuburan di Perairan Jikumerasa, Pulau Buru. J Pesisir Dan Laut Tropis (1): 43–50.

Purba NP, Pranowo WS, (2015), Dinamika Oseanografi, Deskripsi Karakteristik Massa Air dan Sirkulasi Laut. Unpad Press, Bandung, 277. ISBN: 978-602-0810-201.

Pranowo WS, Tussadiah A, Syamsuddin ML, Purba NP, Riyantini I., (2016), Karakteristik dan Variabilitas Eddy di Samudera Hindia Selatan Jawa. J Segara 12(3): 159-165. doi: http://dx.doi.org/10.15578/segara.v12i3.121.

Pranowo WS, Kuswardani ARTD, Adi NS, et al., (2016a), Penyusunan Basis Data Laut dan Pesisir Pulau Terdepan - Pulau Biak. Pusat Penelitian dan Pengembangan Sumberdaya Laut dan Pesisir Badan Penelitian dan Pengembangan Kelautan dan Perikanan, p 151. ISBN: 978-602-9086-55-3; e-ISBN: 978-602-9086-56-0.

_________, Kuswardani ARTD, Adi NS, et al., (2016b), Penyusunan Basis Data Laut dan Pesisir Pulau Terdepan - Pulau Rote. Pusat Penelitian dan Pengembangan Sumberdaya Laut dan Pesisir Badan Penelitian dan Pengembangan Kelautan dan Perikanan, 142. ISBN: 978.602.9086.51.5; e-ISBN: 978.602.9086.52.2.

_________, Kuswardani ARTD, Adi NS, et al., (2016c), Penyusunan Basis Data Laut dan Pesisir Pulau Terdepan - Pulau Tanimbar. Pusat Penelitian dan Pengembangan Sumberdaya Laut dan Pesisir Badan Penelitian dan Pengembangan Kelautan dan Perikanan, 131. ISBN: 978-602-9086-53-9; e-ISBN: 978-602-9086-54-6.

Samosir TH, Masengi KWA, Kalangi PNI, Iwata M., Mandagi IF, (2012), Aplikasi Remotely Operated Vehicle (ROV) dalam Penelitian Kelautan dan Perikanan di Sekitar Perairan Sulawesi Utara dan Biak Papua. J Ilmu dan Teknologi Kelautan dan Perikanan Tangkap 1(1): 22–25.

Simanjuntak M., (2007), Oksigen Terlarut dan Apparent Oxygen Utilization di Perairan Teluk Klabat, Pulau Bangka. J Ilmu Kelautan 12(2): 59–66.

Swarinoto YS, Husain, (2012), Estimasi Curah Hujan Harian dengan Metode Auto Estimator (Kasus Jayapura dan sekitarnya). J BMKG 13(1): 53–61.

Teliandi D, Djunaedi OS, Purba NP, Pranowo WS, (2013), Hubungan Variabilitas Mixed Layer Depth Kriteria ∆T=0,5 oC dengan Sebaran Tuna di Samudera Hindia Bagian Timur. Depik 2(3): 162-171.

Tussadiah A, Syamsuddin ML, Pranowo WS, Purba NP, Riyantini I., (2016), Eddy Vertical Structure in Southern Java Indian Ocean: Identification using Automated Eddies Detection. International Journal of Science and Research 5(3): 967–971.

Xu Z, Xu YJ, (2016), A Deterministic Model for Predicting Hourly Dissolved Oxygen Change: Development and Application to a Shallow Eutrophic Lake. Water 8(41): 1-15. doi:10.3390/w8020041.

Winarso G, Marini Y., (2014), Modis Standard (OC3) Chlorophyll-a Algorthm Evaluation in Indonesian Seas. International Journal of Remote Sensing and Earth Science 11(1): 11-20.

DOI: http://dx.doi.org/10.30536/j.ijreses.2017.v14.a2681

Refbacks

  • There are currently no refbacks.