The Myth and Legend of Sadai and Gaspar Strait Bangka Belitung (Banca-Billiton) and Oceanographic Conditions

Hartoko, Agus; Febrianto, Arief; Pamungkas, Aditya; Fachruddin, Irvani; Helmi, Muhammad; Hariyadi, _

doi:10.21660/2019.62.93965

Cited by 8 publications

(10 citation statements)

References 6 publications

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“…The use of such data had been able to be used up to the level of mangrove species. This was since the high resolution data with a resolution of 0.6 x 0.6 m of GeoEye or 1 x 1 m of Ikonos (Hartoko et al, 2019) . The series of algorithms that had been developed as above would be new and e cient and controllable spatial accuracy for rapid assessment by means of spatial measurement.…”

Section: Resultsmentioning

confidence: 99%

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Seagrass Cholorophyll-a, Biomass and Carbon Algorithms Based on the Field and Sentinel-2A Satellite Data at Karimunjawa Island, Indonesia

Hartoko¹,

Sembiring

Latifah

2021

sci. technol. indones.

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Chlorophyll-a in seagrass biomass is functioned for the photosynthetic process and store the organic carbon in their biomass of the leaf, rhizome, and root. Ecologically has functioned as blue carbon in reducing global warming adaptation and mitigation strategy. The study aimed to explore seagrass species, chlorophyll-a content, biomass and carbon stock at Karimunjawa Island. Develop algorithms of the Sentinel-2A satellite data based on field seagrass chlorophyll-a, biomass and carbon and at Pokemon and Bobby beach Karimunjawa Island. Four species of seagrass found at Bobby and Pokemon beach are Holodule pinifolia with a density of 160.44 ind.m−2 , Enhalus acoroides with 26.22 ind.m−2, Halophila ovalis with 6.67 ind.m−2 and Thalassia hemprichii with 4.44 ind.m−2.The lowest seagrass chlorophyll-a is 5.854 mg.ml−1 found in H. pinifolia and the highest is 20.819 mg.ml−1found in E. acoroides at Pokemon beach. The range of seagrass chlorophyll-a at Bobby beach was 3.485 - 14.133 mg.ml−1 in T. hemprichii. The smallest individual biomass dry weight was found in T.hempirichii with 1.32 g.dry.weight per individu, and the biggest in E.acoroides with 6.98 g.dry.weight per individu. The highest seagrass biomass at Pokemon beach was in E. acoroides with 236.93 g.m−2 which has a wide leaf morphology and the lowest in H. pinifolia with 75.91 g.m−2 with the smallest leaf morphology. The range of seagrass biomass at Bobby beach is 97.62 - 264.48 g.m−2 which is dominated by T.hempirichii. The range of seagrass carbon was 109.63 - 136.82 gC.m−2at Pokemon beach, and in the range of 95.00 - 114.01 gC.m−2 at Bobby beach. Algorithm of seagrass chlorophyll-a = -36.308 (B3/B4)2 – 140.41(B3/B4) + 83.912 ; biomass = -7028.3 (B3/B4)2 + 14948 (B3/B4) – 7764.4; carbon = -17.529(B2/B3)2 + 143.82(B2/B3) – 5.3362 for Pokemon beach. Algorithm of chlorophyll-a = 455.02 (B2/B4)2 + 823.72 (B2/B4) + 375.48; biomass = -14699 (B3/B2)2 + 28395(B3/B2) – 13537; and carbon = - 0.001(B3/B4)2+ 0.209(B3/B4) - 10.203 for Bobby beach. The use of Band-2 (0.490 ????m), Band-3 (0.560 ????m) and Band-4 (0.665 ????m) Sentinel-2A satellite data in the development of seagras chlorophyll-a, biomass and carbon algorithm was found to be significant.

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Section: Resultsmentioning

confidence: 99%

“…Seagrass biomass was split into three part of leaf, rhizome and root and weigthed separately. Seagrass biomass measurement using loss on ignitation (LOI) method with drying oven and ash-furnace 550 o C for three hours (Campbell et al, 2015;Hartoko et al, 2019).…”

Section: Methodsmentioning

confidence: 99%

Seagrass Cholorophyll-a, Biomass and Carbon Algorithms Based on the Field and Sentinel-2A Satellite Data at Karimunjawa Island, Indonesia

Hartoko¹,

Sembiring

Latifah

2021

sci. technol. indones.

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Section: Modellingmentioning

confidence: 91%

“…Overall, the modelling domain was in shallow water, the maximum depth was about 100 m and the coasts of Bangka and the Belitung Islands are shallow. Interestingly, the central part of the Lepar Strait is deeper than the Northern and Southern parts, as shown in Figure2(c)(Hartoko et al, 2019).Previous studies prescribed measured parameters, such as water level and current velocity, as boundary conditions. However, such data on a global scale in Indonesian Seas is not available.…”

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confidence: 91%

Hydrodynamic Model and Tidal Current Energy Potential in Lepar Strait, Indonesia

Ajiwibowo

Pratama

2021

Int. J. Renew. Energy Dev.

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Previous studies have shown the abundance of tidal energy resources in Indonesia. However, some sites have yet to be considered. The Lepar Strait, for example, is located between Bangka and Lepar Islands. This paper describes a field survey and numerical modelling conducted in the Lepar Strait. The modelling was performed using Delft3D, with the aim of determining potential sites for harvesting tidal current energy and estimate the generated power. In the modelling, the domain decomposition method was employed for model downscaling, allowing grid resolution reaching 130 x 130 m2, which is sufficient to represent the narrow gaps between tiny islands in the area of interest. The National Bathymetric (Batnas) from the Geospatial Information Agency (BIG) and the International Hydrographic Organization (IHO) tide constituents were applied for the bathymetry and tide elevation boundaries. The comparison between the surveyed and modelled data showed a good agreement. The RMSE and r for water level are > 0.95 and < 0.15, and the RMSE for velocity was <0.19. Furthermore, an energetic flow reaching 1.5 m/s was found at the Northern part of Lepar Strait, situated at the narrow gaps. The Gorlov Helical Turbine was selected in this study due to shallow water and low mean velocity. In the 2019 model, the power density and power output at the best potential sites were 2,436.94 kWh/m2 and 1,870.41 kWh, respectively. This number is higher than those previously found in Kelabat Bay. Nonetheless, it is still far below the currently promising project in Larantuka and Lombok Straits. Future research is recommended, to conduct a detailed field measurement campaign and assess the impact of energy extraction in more detail.

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“…The study also revealed that depth and sea bottom substrate which are mostly siltclay had related to the sharks spatial distribution. Which is further to form as ecological-cluster for mostofdemersal fish such as sharks spatial distribution [23,24]. Monthly averages of sharks catch year 2018 atnorth Java sea highest catch in May was 20,617 kg and lowest catch in January with 2,122 kg and average yearly total catch of 72,480 Kg the catch of north Java sea is 26,08 percent compared to shark catch of south Java (Indian ocean) average yearly catch 2018 Cilacap fishing port south Java sea 1,877,844 kg with highest catch in September with 331,928 kg and lowest catch in November with 69,630 kg.…”

Section: Morphometrymentioning

confidence: 99%

Morphology and Molecular Biology of Benthic Java Sea Shark Ray Rhina ancylostoma Bloch and Scheider 1801 (Elasmobranchia: Rhinidae)

Hartoko

Pringgenies

Anggelina

et al. 2020

ARRB

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Aims: Morphology and molecular biology of a rare shark-rays Rhina ancylostoma caught from Java sea.Indonesia. Study Design: Morphology, morphometry and DNA analysis of the fish specimen. Place and Duration of Study: Sample wascollected from fish auction hall at north Java, specimen now stored in Lab of Ichtiology. Department of Fisheries. Faculty of Fisheries and Marine Science. Diponegoro University, between March to December 2019. Methodology: DNA extraction, amplification and molecular identification of fish sample.Yield of DNA supernatant transferred in an eppendeorf tube and stored in 4°C for further process. PCR amplification. Part of Mithocondrial DNA COI (Cytochrome Oxidase subunit-I) gen was amplified using Polymerase Chain Reaction (PCR) method. Then matched up with GenBank database at NCBI using Basic Local Alignment Search Tool (BLAST) analysis. Philogenetic tree was set using Neighbor-Joining method, Kimura-2 parameter model and 1,000 bootstrap replication. Some sequence from NCBI GenBank were inputted into philogenetic tree as comparison. Results: Rhina ancylostoma as one of demersal shark rays catch from tropical shallow Java sea. Range of Total Length 73 – 200 cm and dominant Total Length catch 125 cm. Morphologyis characterised with three lines of spine thorn on the head, morphometry characteriswide of head to TL ratio 0.77. DNA analysis had confirmed the specimen of AH2 as Rhina ancylostoma based on homological match up of sequence of Gen Bank database with reference accesion number KU721837.1 with length sequence of 665 bpand identical similarity of 99.84% for specimen Accession number LC 505461. Conclusion: Rhina ancylostoma as one of demersal shark rays catch from Java sea. Range Total Length (TL) of catch 73 – 200 cm and dominant TL catch range 101 – 125 cm. Morphologically character of wide head ratio with three lines of spine thorn on the head. Nearest genetic distance of 0.02 to Rhincobatushorkelii and 0.017 to R. australiae. Longest genetic distance of 0.243 to Potamotrygon motoro.

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The Myth and Legend of Sadai and Gaspar Strait Bangka Belitung (Banca-Billiton) and Oceanographic Conditions

Cited by 8 publications

References 6 publications

Seagrass Cholorophyll-a, Biomass and Carbon Algorithms Based on the Field and Sentinel-2A Satellite Data at Karimunjawa Island, Indonesia

Seagrass Cholorophyll-a, Biomass and Carbon Algorithms Based on the Field and Sentinel-2A Satellite Data at Karimunjawa Island, Indonesia

Hydrodynamic Model and Tidal Current Energy Potential in Lepar Strait, Indonesia

Morphology and Molecular Biology of Benthic Java Sea Shark Ray Rhina ancylostoma Bloch and Scheider 1801 (Elasmobranchia: Rhinidae)

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