Estimasi Produktivitas Primer Perairan Berdasarkan Konsentrasi Klorofil-a Yang Diekstrak Dari Citra Satelit Landsat-8 Di Perairan Kepulauan Karimun Jawa

Nuzapril, Mulkan; Susilo, Setyo Budi; Panjaitan, James P.

doi:10.30536/j.pjpdcd.2017.v14.a2548

Cited by 6 publications

(7 citation statements)

References 12 publications

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“…The ordinary least square (OLS) and generalised least square regression (GLS) methods are used because they have been broadly adopted to generate TSS models with L8 images. The GLS method generally donates more sophisticated estimation results than the results using the OLS method, which can only give an accuracy of less than 80% [12]- [14], [46]- [50]. Therefore, this study uses the GLS method to generate TSS models.…”

Section: Independent Variable Determinationmentioning

confidence: 99%

An Alternative Model to Estimate Total Suspended Solids Concentrations using Landsat 8 Imagery in Indonesia

Risky Panji Wijaya,

Haribowo,

E. Ball

2023

CIVENSE

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A regular monitoring program of water quality is generally performed using a direct measurement method, which requires substantial efforts and resources. These issues can be minimised using several options, one of which is Landsat 8 (L8). This imagery has been broadly used to measure several water quality parameters, especially Total Suspended Solids (TSS) concentrations, even in Indonesia. This paper will compare several models from previous studies and a modified model generated using data from various sites. The comparison is based on their competencies to estimate TSS concentrations. The competencies are determined by the coefficient of correlation (r), correlation of determination (R2), and residual standard error (RSE) parameters as these three parameters are strongly correlated, generally applied, and provide distinctive determinations. The best model should have the highest r and R2 values, while the RSE value should be the lowest. The results imply that TSS model 4 generated in this study provides comparable results with TSS model 1, which has been generally used in Indonesia and provided favourable results. Thus, it can be an alternative model to estimate TSS concentrations in Indonesia.

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Section: Independent Variable Determinationmentioning

confidence: 99%

An Alternative Model to Estimate Total Suspended Solids Concentrations using Landsat 8 Imagery in Indonesia

Risky Panji Wijaya,

Haribowo,

E. Ball

2023

CIVENSE

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“…Jika dibandingkan dengan kedalaman rata-rata laut Jawa yang diperkirakan < 100 meter, maka zona eufotik perairan Laut Jawa termasuk cukup dalam. Untuk perairan laut yang bebas dari pengaruh padatan tersuspensi yang meningkatkan kekeruhan perairan , kedalam zona eufotik bisa mencapai hingga 150 m (Nuzapril et al, 2017a).…”

Section: Konsentrasi Klorofil-aunclassified

Pemanfaatan Citra Satelit Aqua-MODIS untuk Pemantauan Dinamika Spasio-Temporal Produktivitas Primer Bersih di Perairan Laut Jawa

Anugrah,

Hidayah,

As-Syakur

et al. 2023

J. Kel. Trop.

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The Java Sea is an area with the highest rate of exploitation of fishery resources in Indonesia. As much as 32% of the total national fishery production or 2.2 million tons has come from catches in the Java Sea, even though the area of these waters only covers 7% of the total area of national waters. Fisheries productivity is related to the net primary productivity value resulting from the activity of phytoplankton or chlorophyll-a. Net primary productivity (NPP) is influenced by the presence of nutrients, light, chlorophyll-a, Photosynthetically Available Radiation (PAR) and sea surface temperature (SST). The purpose of this research is to analyze the distribution value of net primary productivity in the Java Sea by utilizing Aqua-MODIS satellite imagery using the Vertically Generalized Production Model (VGPM) method with a range of 2017-2021. The results showed that the waters of the Java Sea have quite high fertility and are classified as Eutrophic because the general monthly average from 2017-2021 has an NPP value of >750 mgC/m2/day. The value of primary productivity follows the seasonal pattern, will be high in the east moonson season and decrease in the west monsoon season. Laut Jawa merupakan wilayah dengan laju eksploitasi sumberdaya perikanan tertinggi di Indonesia. Sebanyak 32% dari total produksi perikanan nasional atau sebesar 2,2 juta ton berasal dari hasil tangkapan di Laut Jawa meskipun luas wilayah perairan ini hanya mencakup 7% dari total luas wilayah perairan nasional. Produktivitas perikanan tangkap berhubungan dengan nilai produktivitas primer bersih hasil dari aktivitas fitoplankton atau klorofil-a. Produktivitas primer bersih di suatu perairan dipengaruhi oleh adanya unsur hara, cahaya, klorofil-a, Photosynthetically Available Radiation (PAR) dan suhu permukaan laut (SPL). Tujuan dari penelitian ini adalah untuk menganalisis nilai distribusi produktivitas primer bersih di Laut Jawa dengan memanfaatkan citra satelit Aqua-MODIS menggunakan metode Vertically Generalized Production Model (VGPM) dengan rentang tahun 2017-2021. Hasil penelitian menunjukkan bahwa perairan Laut Jawa memiliki kesuburan yang cukup tinggi dan tergolong Eutrofik karena rata-rata bulanan secara umum mulai dari tahun 2017-2021 memiliki nilai NPP >750 mgC/m2/hari. Nilai produktivitas primer mengikuti pola musim, akan tinggi pada musim timur (kemarau) dan menurun pada musim barat (penghujan).

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“…GNOME is software that is widely used in modeling oil spills in the world (Nelson & Grubesic, 2018). In Indonesia, several cases of oil spills have also been successfully modeled with this device, including the case of an oil spill around the waters of Bintan Island, Riau Islands (Puspitasari et al, 2020); The waters of Karawang, West Java (Nugroho et al, 2021), the waters of the Northern Java Sea (Bassey et al, 2017), the northern waters of Timor Island (Gautama et al, 2016), and Balik Papan Bay (Siagian et al , 2016).…”

Section: Oil Spill Trajectory Simulationmentioning

confidence: 99%

“…In addition, it can also be used to predict the uncertainty of the distribution of oil spills. The modeling of the distribution of oil spills using GNOME was carried out using visual aids of spolts (spots or scatters) consisting of black splots (representing the best crossing of the distribution of the oil spill) and red splots (representing the minimum error estimate of oil spills) (Chassignet et al, 2007) Puspitasari , et al, 2020. The process of simulating an oil spill with GNOME can be described in three stages, namely the input of environmental parameters including wind and current, then simulation of oil transport and the last is the analysis of the movement of oil spills.…”

Section: Oil Spill Trajectory Simulationmentioning

confidence: 99%

Oil Spill Trajectory Simulation and Environmental Sensitivity Index Mapping : A Case Study of Tanjung Priok, Jakarta

Fuad

2021

JEEST

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Potential oil spills can be sourced from ship collisions, offshore oil drilling leaks, or refueling activities between ships. Tanjung Priok Port, Jakarta as the busiest port in Indonesia has the possibility of an oil spill disaster. Fuel oil could pollute the environment both in coastal and marine areas. As an anticipatory step, it is necessary to carry out an oil spill modeling simulation for contingency planning. Oil spill modeling was carried out using GNOME software using wind and ocean currents data as universal movers that move oil in the waters. The scenario used in this study is a spill occurred in March, the spill occurred during refueling between ships as much as 1500 barrels. The simulation results show that dominant oil spreads to the east and northeast and can reach sensitive areas in less than 4 days. Environmental sensitivity index mapping is carried out in areas that are predicted to be affected by an oil spill using ESI guidance from IPIECA. ESI map shows that the research area can be categorized into 5 categories from less sensitive (1B) to very sensitive (10A). Sensitive area is an intertidal area which is a habitat for mangroves and aquaculture.

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Estimasi Produktivitas Primer Perairan Berdasarkan Konsentrasi Klorofil-a Yang Diekstrak Dari Citra Satelit Landsat-8 Di Perairan Kepulauan Karimun Jawa

Cited by 6 publications

References 12 publications

An Alternative Model to Estimate Total Suspended Solids Concentrations using Landsat 8 Imagery in Indonesia

An Alternative Model to Estimate Total Suspended Solids Concentrations using Landsat 8 Imagery in Indonesia

Pemanfaatan Citra Satelit Aqua-MODIS untuk Pemantauan Dinamika Spasio-Temporal Produktivitas Primer Bersih di Perairan Laut Jawa

Oil Spill Trajectory Simulation and Environmental Sensitivity Index Mapping : A Case Study of Tanjung Priok, Jakarta

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