Pub Date : 2021-12-27DOI: 10.14203/oldi.2021.v6i3.375
A. F. Koropitan
Modeling Carbonate System in the Java Sea. Besides the global fossil fuel burning activities, forest fires in Kalimantan could potentially increase atmospheric CO2 concentrations, impacting air-sea CO2 gas exchange in the Java Sea and changing the balance of the marine carbonate system. This study uses a marine carbonate model to examine the processes that control CO2 flux in the Java Sea and their relationship to CO2 increase in the atmosphere. OCMIP-2 (Ocean Carbon-Cycle Model Intercomparison Model Project, Phase-2) is performed in this marine carbonate model coupled with the marine ecosystem model. The model results show that the quantity of carbon air flux differs during February and October 2000. More considerable flux is produced during February 2000, where the wind speeds are higher than in October 2000. However, the wind speeds have less impact when the CO2 level in the atmosphere rises significantly. Due to the influence of a relatively high surface temperature in the tropical Java sea, the Java Sea functions as a carbon source to the atmosphere in general. In this case, the role of the solubility pump is more significant than that of biological processes in carbon absorption. Moreover, increased CO2 in the atmosphere could alter the partial pressure equilibrium. In the case of 2002 forest fires (atmospheric CO2 = 460 ppm), the carbon source of the Java Sea was less than before forest fires and even became carbon sink when atmospheric CO2 rose to 1135.2 ppm based on the highest SSP scenario in 2100. This modeling also reveals marine acidification issues and could rapidly assess the future changes in marine ecosystems due to CO2 levels rising in the atmosphere.
爪哇海碳酸盐体系模拟。除了全球化石燃料燃烧活动外，加里曼丹的森林火灾可能会增加大气中的二氧化碳浓度，影响爪哇海的空气-海洋二氧化碳气体交换，改变海洋碳酸盐系统的平衡。本研究使用海洋碳酸盐模型来检验控制爪哇海二氧化碳通量的过程及其与大气中二氧化碳增加的关系。OCMIP-2 (Ocean Carbon-Cycle Model Intercomparison Model Project, Phase-2)在该海洋碳酸盐模型与海洋生态系统模型的耦合下进行。模型结果表明，2000年2月和10月的大气碳通量有所不同。2000年2月产生了更大的通量，那里的风速高于2000年10月。然而，当大气中的二氧化碳水平显著上升时，风速的影响较小。由于热带爪哇海相对较高的表面温度的影响，爪哇海一般起着大气碳源的作用。在这种情况下，溶解度泵在碳吸收中的作用比生物过程更重要。此外，大气中二氧化碳的增加可能会改变分压平衡。以2002年森林火灾为例(大气CO2 = 460 ppm)，爪哇海的碳源比森林火灾前少，当2100年大气CO2上升到1135.2 ppm(基于最高SSP情景)时，爪哇海甚至成为碳汇。该模型还揭示了海洋酸化问题，并可以快速评估由于大气中二氧化碳水平上升而导致的海洋生态系统未来的变化。
{"title":"Pemodelan Sistem Karbonat di Laut Jawa","authors":"A. F. Koropitan","doi":"10.14203/oldi.2021.v6i3.375","DOIUrl":"https://doi.org/10.14203/oldi.2021.v6i3.375","url":null,"abstract":"Modeling Carbonate System in the Java Sea. Besides the global fossil fuel burning activities, forest fires in Kalimantan could potentially increase atmospheric CO2 concentrations, impacting air-sea CO2 gas exchange in the Java Sea and changing the balance of the marine carbonate system. This study uses a marine carbonate model to examine the processes that control CO2 flux in the Java Sea and their relationship to CO2 increase in the atmosphere. OCMIP-2 (Ocean Carbon-Cycle Model Intercomparison Model Project, Phase-2) is performed in this marine carbonate model coupled with the marine ecosystem model. The model results show that the quantity of carbon air flux differs during February and October 2000. More considerable flux is produced during February 2000, where the wind speeds are higher than in October 2000. However, the wind speeds have less impact when the CO2 level in the atmosphere rises significantly. Due to the influence of a relatively high surface temperature in the tropical Java sea, the Java Sea functions as a carbon source to the atmosphere in general. In this case, the role of the solubility pump is more significant than that of biological processes in carbon absorption. Moreover, increased CO2 in the atmosphere could alter the partial pressure equilibrium. In the case of 2002 forest fires (atmospheric CO2 = 460 ppm), the carbon source of the Java Sea was less than before forest fires and even became carbon sink when atmospheric CO2 rose to 1135.2 ppm based on the highest SSP scenario in 2100. This modeling also reveals marine acidification issues and could rapidly assess the future changes in marine ecosystems due to CO2 levels rising in the atmosphere.","PeriodicalId":202832,"journal":{"name":"OLDI (Oseanologi dan Limnologi di Indonesia)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126351792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-31DOI: 10.14203/OLDI.2021.V6I2.353
M. R. Badriana, H. Diastomo, Avrionesti Avrionesti, M. Y. Surya, U. Abdurrahman, M. Riza, T. Suprijo, Hansan Park
The enactment of the PSBB (Large-scale Social Restriction) on April to May 2020 due to COVID-19 pandemic, has reduced residents’ activities, especially in Java Island, the most populous area in Indonesia with high anthropological activities. This policy may affect the conditions of atmospheric and water environment around the island of Java. NO2 and CO concentrations in atmosphere along with chlorophyll-a concentrationin the ocean are environmental indicators that can be observed through satellite imagery. Satellite data TROPOMI and CMEMS were used to investigate the variation of those concentrations in the atmosphere and ocean during PSBB. Oceanographic and atmospheric daily data of each parameter over the Java Island region were retrieved and merged into gridded data with 1 km spatial resolution to be compared. Variations of chlorophyll-a concentration within the same month over the previous years were also taken into account. NO2, CO, and chlorophyll-a concentration were fluctuating during the PSBB period, but tended to decrease in the early phase of PSBB.The higher concentration of chlorophyll-a concentrated in the northern coastal areas of Java Island. In Jakarta and Surabaya, chlorophyll-a concentrations value during April-May 2020 were decreased by 48% and 27% compared to the previous three years’ averages. Human activities were thought to be the main factor influencing variations in the concentration of NO2, CO, and chlorophyll-a during PSBB enactment
{"title":"Impact Assessment of PSBB on Variations of NO2, CO, and Chlorophyll-a Concentration in Java Island during the COVID-19 Pandemic based on Multi-satellite Imagery Data","authors":"M. R. Badriana, H. Diastomo, Avrionesti Avrionesti, M. Y. Surya, U. Abdurrahman, M. Riza, T. Suprijo, Hansan Park","doi":"10.14203/OLDI.2021.V6I2.353","DOIUrl":"https://doi.org/10.14203/OLDI.2021.V6I2.353","url":null,"abstract":"The enactment of the PSBB (Large-scale Social Restriction) on April to May 2020 due to COVID-19 pandemic, has reduced residents’ activities, especially in Java Island, the most populous area in Indonesia with high anthropological activities. This policy may affect the conditions of atmospheric and water environment around the island of Java. NO2 and CO concentrations in atmosphere along with chlorophyll-a concentrationin the ocean are environmental indicators that can be observed through satellite imagery. Satellite data TROPOMI and CMEMS were used to investigate the variation of those concentrations in the atmosphere and ocean during PSBB. Oceanographic and atmospheric daily data of each parameter over the Java Island region were retrieved and merged into gridded data with 1 km spatial resolution to be compared. Variations of chlorophyll-a concentration within the same month over the previous years were also taken into account. NO2, CO, and chlorophyll-a concentration were fluctuating during the PSBB period, but tended to decrease in the early phase of PSBB.The higher concentration of chlorophyll-a concentrated in the northern coastal areas of Java Island. In Jakarta and Surabaya, chlorophyll-a concentrations value during April-May 2020 were decreased by 48% and 27% compared to the previous three years’ averages. Human activities were thought to be the main factor influencing variations in the concentration of NO2, CO, and chlorophyll-a during PSBB enactment","PeriodicalId":202832,"journal":{"name":"OLDI (Oseanologi dan Limnologi di Indonesia)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130896440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-31DOI: 10.14203/OLDI.2021.V6I2.361
Eka Yuliawati, Budi Afriyansyah, Nova Mujiono
Mangrove gastropod community in Perpat and Bunting Rivers, Belinyu District, Bangka Regency. Perpat and Bunting in Bangka Regency have an adequate and natural mangrove ecosystems. However, studies on the structure of the gastropod community in this ecosystem is lacking. This study aimed to discover the structure of the gastropod community in the mangrove ecosystem. This study was carried out from October to November 2019 in riverine mangrove area located in Perpat and Bunting Rivers, District Belinyu, Bangka Regency. Samples were taken from 10 x 10 m plot from six observed stations. A total of 578 individuals of gastropoda were collected, comprised of seven families and 14 species. Number of species ranged from 4 to 9, while number of individuals ranged from 35 to 214. Cerithidea quoyii was a dominant species with 270 individuals (47%) and found in all stations. Gastropods community was in labile condition and prone to environmental change. Species composition of gastropods were similar in both rivers with nine identical species. However, epifaunal species were found separately from arboreal species
{"title":"Komunitas Gastropoda Mangrove di Sungai Perpat dan Bunting, Kecamatan Belinyu, Kabupaten Bangka","authors":"Eka Yuliawati, Budi Afriyansyah, Nova Mujiono","doi":"10.14203/OLDI.2021.V6I2.361","DOIUrl":"https://doi.org/10.14203/OLDI.2021.V6I2.361","url":null,"abstract":"Mangrove gastropod community in Perpat and Bunting Rivers, Belinyu District, Bangka Regency. Perpat and Bunting in Bangka Regency have an adequate and natural mangrove ecosystems. However, studies on the structure of the gastropod community in this ecosystem is lacking. This study aimed to discover the structure of the gastropod community in the mangrove ecosystem. This study was carried out from October to November 2019 in riverine mangrove area located in Perpat and Bunting Rivers, District Belinyu, Bangka Regency. Samples were taken from 10 x 10 m plot from six observed stations. A total of 578 individuals of gastropoda were collected, comprised of seven families and 14 species. Number of species ranged from 4 to 9, while number of individuals ranged from 35 to 214. Cerithidea quoyii was a dominant species with 270 individuals (47%) and found in all stations. Gastropods community was in labile condition and prone to environmental change. Species composition of gastropods were similar in both rivers with nine identical species. However, epifaunal species were found separately from arboreal species","PeriodicalId":202832,"journal":{"name":"OLDI (Oseanologi dan Limnologi di Indonesia)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134218979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-31DOI: 10.14203/OLDI.2021.V6I2.345
N. Afianti, Dea Indriani Astuti
The Influence of Nitrate in Metal Biocorrosion caused by Sulfate Reducing Bacteria from Saguling Hydropower. The corrosion facilitated and accelerated by the activities of microorganism is called biocorrosion. Sulfate reducing bacteria (SRB) is known as the bacteria that cause biocorrosion in anaerobic condition by using sulfate as the final electron acceptor. Biocorrosion reduces equipment lifetime and increases maintenance cost in industry. In the cooling system in Saguling hydropower, corrosion was commonly caused by utilization of contaminated water due to anorganic and organic waste, especially sulfate. In this research, sulfate reducing bacteria was isolated from biofilms in the cooling system of Saguling Hydropower. Molecular analysis using PCR-DGGE method with dsrB gene (350 bp) as molecular markers showed that SRB consortium contained 12 bands and assumed as different species of SRB. SRB consortium was tested to determine its biocorrosion activity over metal material of ST37 (carbon steel) and SUS304 (stainless steel). The consortium then treated with 7 different nitrate concentrations to determine its effect against the sulfate reducing bacteria activity. SRB consortium caused higher corrosion to ST37 than SUS304L, with the corrosion rate of 0.07660 mm/year and 0.00265 mm/year, respectively. Concentration of 10 mM nitrate effectively inhibited corrosion rate on ST37 and caused the changes in sulfate reducing bacteria communities, indicated by the disappearance of 6 bands in DGGE profile
{"title":"Pengaruh Nitrat terhadap Biokorosi Logam oleh Konsorsium Bakteri Pereduksi Sulfat dari PLTA Saguling","authors":"N. Afianti, Dea Indriani Astuti","doi":"10.14203/OLDI.2021.V6I2.345","DOIUrl":"https://doi.org/10.14203/OLDI.2021.V6I2.345","url":null,"abstract":"The Influence of Nitrate in Metal Biocorrosion caused by Sulfate Reducing Bacteria from Saguling Hydropower. The corrosion facilitated and accelerated by the activities of microorganism is called biocorrosion. Sulfate reducing bacteria (SRB) is known as the bacteria that cause biocorrosion in anaerobic condition by using sulfate as the final electron acceptor. Biocorrosion reduces equipment lifetime and increases maintenance cost in industry. In the cooling system in Saguling hydropower, corrosion was commonly caused by utilization of contaminated water due to anorganic and organic waste, especially sulfate. In this research, sulfate reducing bacteria was isolated from biofilms in the cooling system of Saguling Hydropower. Molecular analysis using PCR-DGGE method with dsrB gene (350 bp) as molecular markers showed that SRB consortium contained 12 bands and assumed as different species of SRB. SRB consortium was tested to determine its biocorrosion activity over metal material of ST37 (carbon steel) and SUS304 (stainless steel). The consortium then treated with 7 different nitrate concentrations to determine its effect against the sulfate reducing bacteria activity. SRB consortium caused higher corrosion to ST37 than SUS304L, with the corrosion rate of 0.07660 mm/year and 0.00265 mm/year, respectively. Concentration of 10 mM nitrate effectively inhibited corrosion rate on ST37 and caused the changes in sulfate reducing bacteria communities, indicated by the disappearance of 6 bands in DGGE profile","PeriodicalId":202832,"journal":{"name":"OLDI (Oseanologi dan Limnologi di Indonesia)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126049429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-31DOI: 10.14203/OLDI.2021.V6I2.363
Adi Purwandana, Mochamad Riza Iskandar, Edi Kusmanto, M. Fadli, Priyadi Dwi Santoso, Corry Corvianawatie, Muhadjirin Muhadjirin, Marlin Chrisye Wattimena, Wang Zheng
Vertical mixing in the northern Maluku Sea and Talaud Waters in February 2021. The spatial variability of water mass mixing in the northern Maluku Sea and Talaud waters are presented based on the results of Eastern Indonesia Expedition (EIT) 2021 using RV Baruna Jaya VIII-LIPI. The turbulent kinetic energy dissipation rate was obtained using the Kunze-Williams-Briscoe (KWB) Method calculated from CTD (Conductivity, Temperature, Depth) and LADCP (Lowered Acoustic Doppler Current Profiler) datasets. We found the dissipation rate in the core layer of North Pacific Subtropical Water (NPSW) and North Pacific Intermediate Water (NPIW) are in the order of 10-6 W/kg and 10-8 W/kg, respectively. The KWB Method used in this study is also proven comparable with the Thorpe Method.
{"title":"Percampuran vertikal di Perairan Laut Maluku dan Talaud pada bulan Februari 2021","authors":"Adi Purwandana, Mochamad Riza Iskandar, Edi Kusmanto, M. Fadli, Priyadi Dwi Santoso, Corry Corvianawatie, Muhadjirin Muhadjirin, Marlin Chrisye Wattimena, Wang Zheng","doi":"10.14203/OLDI.2021.V6I2.363","DOIUrl":"https://doi.org/10.14203/OLDI.2021.V6I2.363","url":null,"abstract":"Vertical mixing in the northern Maluku Sea and Talaud Waters in February 2021. The spatial variability of water mass mixing in the northern Maluku Sea and Talaud waters are presented based on the results of Eastern Indonesia Expedition (EIT) 2021 using RV Baruna Jaya VIII-LIPI. The turbulent kinetic energy dissipation rate was obtained using the Kunze-Williams-Briscoe (KWB) Method calculated from CTD (Conductivity, Temperature, Depth) and LADCP (Lowered Acoustic Doppler Current Profiler) datasets. We found the dissipation rate in the core layer of North Pacific Subtropical Water (NPSW) and North Pacific Intermediate Water (NPIW) are in the order of 10-6 W/kg and 10-8 W/kg, respectively. The KWB Method used in this study is also proven comparable with the Thorpe Method.","PeriodicalId":202832,"journal":{"name":"OLDI (Oseanologi dan Limnologi di Indonesia)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125471497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-28DOI: 10.14203/OLDI.2021.V6I1.324
A. B. Santoso, E. Triwisesa, M. Fakhrudin
The revolutionized aquatic monitoring sensors are essential in capturing environmental patterns that traditional discrete samplings might not be able to. They allow scientists to further synthesize and better conclude processes in aquatic ecosystems. These sensors produce high-frequency data that provide information on a fine temporal scale, even near real-time. The massive quantities of the streamed data, however, create challenges for scientists to grasp the concrete information. Filtering data quality, on the other hand, is another problem scientists might have encountered as sensor accuracy and precision may drift along the line. Hence, quality assurance and quality control might be quite labouring owing to the size of datasets to handle. This paper proposed a semi-mechanistic algorithm to improved false water temperature data. Using “theoretical” thermal stratification as a reference, this algorithm fixed sensors error readings. A 5-month dataset of water temperature profiles of Lake Maninjau, West Sumatra, captured every 10 minutes from a set of sensors in thermistor chain was applied. We found that most data fit to the theoretical temperature profile, R2 = 0.962, RMSE = 0.081oC. A number of errors, however, were observed in the upper layer of the lake (<20 m), the most dynamic layer in terms of its thermal variation. Sensor drifts in this active upper mixed layer can be related to the generated errors. Through this simple solution, not only improving the quality of the observed water temperature data, but was also able to identify the most probable source of errors
{"title":"A Simple Solution for Refining Lake Water Temperature Profiles Data Arrayed from High-Frequency Monitoring Sensors","authors":"A. B. Santoso, E. Triwisesa, M. Fakhrudin","doi":"10.14203/OLDI.2021.V6I1.324","DOIUrl":"https://doi.org/10.14203/OLDI.2021.V6I1.324","url":null,"abstract":"The revolutionized aquatic monitoring sensors are essential in capturing environmental patterns that traditional discrete samplings might not be able to. They allow scientists to further synthesize and better conclude processes in aquatic ecosystems. These sensors produce high-frequency data that provide information on a fine temporal scale, even near real-time. The massive quantities of the streamed data, however, create challenges for scientists to grasp the concrete information. Filtering data quality, on the other hand, is another problem scientists might have encountered as sensor accuracy and precision may drift along the line. Hence, quality assurance and quality control might be quite labouring owing to the size of datasets to handle. This paper proposed a semi-mechanistic algorithm to improved false water temperature data. Using “theoretical” thermal stratification as a reference, this algorithm fixed sensors error readings. A 5-month dataset of water temperature profiles of Lake Maninjau, West Sumatra, captured every 10 minutes from a set of sensors in thermistor chain was applied. We found that most data fit to the theoretical temperature profile, R2 = 0.962, RMSE = 0.081oC. A number of errors, however, were observed in the upper layer of the lake (<20 m), the most dynamic layer in terms of its thermal variation. Sensor drifts in this active upper mixed layer can be related to the generated errors. Through this simple solution, not only improving the quality of the observed water temperature data, but was also able to identify the most probable source of errors","PeriodicalId":202832,"journal":{"name":"OLDI (Oseanologi dan Limnologi di Indonesia)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122220355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-27DOI: 10.14203/OLDI.2020.V5I3.335
M. Cordova, T. Purbonegoro, R. Puspitasari, R. Subandi, M. T. Kaisupy, S. Wibowo, Nurjamin Nurjamin, Suparmo Suparmo, Serly Sapulete
Anthropogenic debris in marine pollution is one of the significant environmental problems. The objective of the research was focused on the abundance and the distribution of debris found on Nipah Island,Riau Island Province, which was surveyed at ten sampling points, as a preliminary monitoring. Abundance and distribution were estimated with line transect of 50m x 3m. Debris items were categorized by the type of material from the NOAA Marine Debris Program. The abundance and weight calculated each of the types, and simple identification of country supplier also determined from the labels of the plastic. The result showed the average debris abundance of 7.05±6.71 items/m2 and an average weight of 1.67±3.98 kg/m2. The most debris abundance found in every station were plastic (single-use plastic bottle/cup), lumber, metal, and glass. Stranded lumber was the dominant weighted samples, followed by plastic debris. Approximately 51.60% of total plastic (food wrappers) with identifiable labels were from Malaysia (24.26%), Indonesia (23.68%), Singapore (2.33%), and elsewhere (1.33%). In order to manage transboundary debris, science is the primary point to obtain proper alternative handling. In order to make successful marine pollution prevention, it is necessary to have a good education and outreach program, a reliable system of law and policy, and law enforcement to the government and private sector.
{"title":"Transboundary debris in Indonesian frontier and outermost island: A preliminary case study of Nipah Island","authors":"M. Cordova, T. Purbonegoro, R. Puspitasari, R. Subandi, M. T. Kaisupy, S. Wibowo, Nurjamin Nurjamin, Suparmo Suparmo, Serly Sapulete","doi":"10.14203/OLDI.2020.V5I3.335","DOIUrl":"https://doi.org/10.14203/OLDI.2020.V5I3.335","url":null,"abstract":"Anthropogenic debris in marine pollution is one of the significant environmental problems. The objective of the research was focused on the abundance and the distribution of debris found on Nipah Island,Riau Island Province, which was surveyed at ten sampling points, as a preliminary monitoring. Abundance and distribution were estimated with line transect of 50m x 3m. Debris items were categorized by the type of material from the NOAA Marine Debris Program. The abundance and weight calculated each of the types, and simple identification of country supplier also determined from the labels of the plastic. The result showed the average debris abundance of 7.05±6.71 items/m2 and an average weight of 1.67±3.98 kg/m2. The most debris abundance found in every station were plastic (single-use plastic bottle/cup), lumber, metal, and glass. Stranded lumber was the dominant weighted samples, followed by plastic debris. Approximately 51.60% of total plastic (food wrappers) with identifiable labels were from Malaysia (24.26%), Indonesia (23.68%), Singapore (2.33%), and elsewhere (1.33%). In order to manage transboundary debris, science is the primary point to obtain proper alternative handling. In order to make successful marine pollution prevention, it is necessary to have a good education and outreach program, a reliable system of law and policy, and law enforcement to the government and private sector.","PeriodicalId":202832,"journal":{"name":"OLDI (Oseanologi dan Limnologi di Indonesia)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134436439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-27DOI: 10.14203/OLDI.2020.V5I3.334
R. Dina, Eko Harsono, G. Wahyudewantoro, Lukman Lukman, R. Kurniawan, Agus Waluyo, Jojok Soedarso, M. Widoretno
Fish Distribution at Different Inundation Areas in Lake Tempe, South Sulawesi. Lake Tempe area consists of permanent standing watersand non-permanent area (flooded area). This study aims to investigate the species and its relative abundance distribution, as well as the distribution of size, condition factor, and gonad maturity stage of dominant species at those different areas. Sampling was carried at high water level period (March, June, and August 2017) in 18 stations, stations 1 to 13 represent the non-permanent inundation areas, and stations 14 to 18 represent the permanent inundation area. Fish was caught using various gears. Fish was identified morphologically and the number was counted. The size of the dominant species was measured and the gonad maturity stage was determined. Data were analyzed using descriptive and inferential statistics. The results of this study show that the highest number of species is found in non-permanent inundation areas. Species that are only found in non-permanent inundation areas are Clarias batrachus, Anabas testudineus, Pangasianodon hypopthalmus, and Trichopodus pectoralis. The dominant fish in the non-permanent inundation area are Oxyeleotris marmorata, Channa striata, Oreochromis niloticus, Trichopodus trichopterus, and Pterygoplichthys pardalis. These fishes have contributed significantly to capture fisheries production. The most abundant fish is Barbonymus gonionotus. The condition factor and the gonad maturity stage of the B. gonionotusin in the both areas were not significantly different. Larger fishes and higher relative abundance of B. gonionotus, when the water level was rising, were found in permanent inundation area. It can be concluded that the existence of those different inundation areas is important for fisheries productivity in Lake Tempe
{"title":"Distribusi Ikan pada Wilayah Genangan Berbeda di Danau Tempe, Sulawesi Selatan","authors":"R. Dina, Eko Harsono, G. Wahyudewantoro, Lukman Lukman, R. Kurniawan, Agus Waluyo, Jojok Soedarso, M. Widoretno","doi":"10.14203/OLDI.2020.V5I3.334","DOIUrl":"https://doi.org/10.14203/OLDI.2020.V5I3.334","url":null,"abstract":"Fish Distribution at Different Inundation Areas in Lake Tempe, South Sulawesi. Lake Tempe area consists of permanent standing watersand non-permanent area (flooded area). This study aims to investigate the species and its relative abundance distribution, as well as the distribution of size, condition factor, and gonad maturity stage of dominant species at those different areas. Sampling was carried at high water level period (March, June, and August 2017) in 18 stations, stations 1 to 13 represent the non-permanent inundation areas, and stations 14 to 18 represent the permanent inundation area. Fish was caught using various gears. Fish was identified morphologically and the number was counted. The size of the dominant species was measured and the gonad maturity stage was determined. Data were analyzed using descriptive and inferential statistics. The results of this study show that the highest number of species is found in non-permanent inundation areas. Species that are only found in non-permanent inundation areas are Clarias batrachus, Anabas testudineus, Pangasianodon hypopthalmus, and Trichopodus pectoralis. The dominant fish in the non-permanent inundation area are Oxyeleotris marmorata, Channa striata, Oreochromis niloticus, Trichopodus trichopterus, and Pterygoplichthys pardalis. These fishes have contributed significantly to capture fisheries production. The most abundant fish is Barbonymus gonionotus. The condition factor and the gonad maturity stage of the B. gonionotusin in the both areas were not significantly different. Larger fishes and higher relative abundance of B. gonionotus, when the water level was rising, were found in permanent inundation area. It can be concluded that the existence of those different inundation areas is important for fisheries productivity in Lake Tempe","PeriodicalId":202832,"journal":{"name":"OLDI (Oseanologi dan Limnologi di Indonesia)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114196403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-27DOI: 10.14203/OLDI.2020.V5I3.330
A. Purwandana, D. Surinati, A. Bayhaqi, M. F. Azis Ismail, M. R. Iskandar, C. Corvianawatie, A. S. Budiman, Edikusmanto Edikusmanto, D. Irianto, Muhadjirin Muhadjirin
The spatial current patterns in the Indonesian seas were mapped based on a wide range of snapshot observations during the Expedition of Widya Nusantara (EWIN 2014) Leg 1 in November 2014. The current profiles were measured using the Shipboard Acoustic Doppler Current Profiler (SADCP) of the RV Baruna Jaya VIII. This study is aimed to reveal the current system in the Indonesian seas from observation. Remarkable current patterns of the Indonesian throughflow (ITF) were observed penetrating via the Mindanao Strait, southern Makassar Strait, and Lifamatola Passage, including its recirculation in the northern Maluku Sea and in the Sulawesi Sea. These results suggested that during the late Southeast Monsoon (SEM), the upper layer ITF is still significantly penetrating the Indonesian seas. The indication of anticyclonic and cyclonic circulations in the upper 50 m and lower 75 m, respectively, was also observed in the western Banda Sea
{"title":"The spatial current structure in the Indonesian Seas in November 2014, during The Expedition of Widya Nusantara (EWIN)","authors":"A. Purwandana, D. Surinati, A. Bayhaqi, M. F. Azis Ismail, M. R. Iskandar, C. Corvianawatie, A. S. Budiman, Edikusmanto Edikusmanto, D. Irianto, Muhadjirin Muhadjirin","doi":"10.14203/OLDI.2020.V5I3.330","DOIUrl":"https://doi.org/10.14203/OLDI.2020.V5I3.330","url":null,"abstract":"The spatial current patterns in the Indonesian seas were mapped based on a wide range of snapshot observations during the Expedition of Widya Nusantara (EWIN 2014) Leg 1 in November 2014. The current profiles were measured using the Shipboard Acoustic Doppler Current Profiler (SADCP) of the RV Baruna Jaya VIII. This study is aimed to reveal the current system in the Indonesian seas from observation. Remarkable current patterns of the Indonesian throughflow (ITF) were observed penetrating via the Mindanao Strait, southern Makassar Strait, and Lifamatola Passage, including its recirculation in the northern Maluku Sea and in the Sulawesi Sea. These results suggested that during the late Southeast Monsoon (SEM), the upper layer ITF is still significantly penetrating the Indonesian seas. The indication of anticyclonic and cyclonic circulations in the upper 50 m and lower 75 m, respectively, was also observed in the western Banda Sea","PeriodicalId":202832,"journal":{"name":"OLDI (Oseanologi dan Limnologi di Indonesia)","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117298238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-27DOI: 10.14203/OLDI.2020.V5I3.325
Deny Yogaswara, T. Prartono, Awalina Satya
Spatial distribution and ecological risk analysis of Polycyclic Aromatic Hydrocarbons in Cilincing waters – Jakarta Bay. Within a few decades, Polycylic Aromatic Hydrocarbon (PAH) pollution increases in marine environment in seawater, sediment, and organism. Generally, this pollutant comes from industrial and household waste, agricultural runoff, shipping activities, and input from atmospheric deposition. This study aims to determine the concentration, spasial distribution, source, and ecological risks analysis in Cilincing waters, Jakarta Bay. Samples of seawater, total suspended solid (TSS), and sediment were collected on April 2019 at ten stations. Samples were stored at 4oC afterward analyzed in the laboratory. All samples were then extracted with dichloromethane and n-hexane solvents. They were then fractionated with n-pentane: dichloromethane, and the results were injected into a Gas Chromatography-Mass Spectrometer (GCMS) instrument. The highest concentration of PAH compounds in seawater, TSS, and sediment samples are 208.74 ng.L1-; 5.90 ng.L1-; and 63.63 ng.g1- dry weight (dw) respectively. The highest spatial distribution of PAHs in seawater and TSS samples were detected in station 1, 9, and 10, whilst in sediment sample was in station 5 and 6. The ratio of ∑Low Molecular Weight (LMW)/∑High Molecular Weight (HMW), Fluo/(Fluo + Pyr), and An/(An + Phe) revealed that the source of PAH pollution dominated from pyrogenic, especially petroleum combustion from vehicle engine. The total concentration of ∑PAH-9 in sediment was 31.21 ng.g1-dw which was lower than Effects Range Low (ERL), Effects Range Median (ERM), Threshold Effect Levels (TEL), and Probably Effect Levels (PEL) values referred to sediment quality guideline. These results were indicated low potential of causing an adverse biological effect.
{"title":"Distribusi Spasial dan Analisis Risiko Ekologi Senyawa Polisiklik Aromatik Hidrokarbon (PAH) di Perairan Cilincing – Teluk Jakarta","authors":"Deny Yogaswara, T. Prartono, Awalina Satya","doi":"10.14203/OLDI.2020.V5I3.325","DOIUrl":"https://doi.org/10.14203/OLDI.2020.V5I3.325","url":null,"abstract":"Spatial distribution and ecological risk analysis of Polycyclic Aromatic Hydrocarbons in Cilincing waters – Jakarta Bay. Within a few decades, Polycylic Aromatic Hydrocarbon (PAH) pollution increases in marine environment in seawater, sediment, and organism. Generally, this pollutant comes from industrial and household waste, agricultural runoff, shipping activities, and input from atmospheric deposition. This study aims to determine the concentration, spasial distribution, source, and ecological risks analysis in Cilincing waters, Jakarta Bay. Samples of seawater, total suspended solid (TSS), and sediment were collected on April 2019 at ten stations. Samples were stored at 4oC afterward analyzed in the laboratory. All samples were then extracted with dichloromethane and n-hexane solvents. They were then fractionated with n-pentane: dichloromethane, and the results were injected into a Gas Chromatography-Mass Spectrometer (GCMS) instrument. The highest concentration of PAH compounds in seawater, TSS, and sediment samples are 208.74 ng.L1-; 5.90 ng.L1-; and 63.63 ng.g1- dry weight (dw) respectively. The highest spatial distribution of PAHs in seawater and TSS samples were detected in station 1, 9, and 10, whilst in sediment sample was in station 5 and 6. The ratio of ∑Low Molecular Weight (LMW)/∑High Molecular Weight (HMW), Fluo/(Fluo + Pyr), and An/(An + Phe) revealed that the source of PAH pollution dominated from pyrogenic, especially petroleum combustion from vehicle engine. The total concentration of ∑PAH-9 in sediment was 31.21 ng.g1-dw which was lower than Effects Range Low (ERL), Effects Range Median (ERM), Threshold Effect Levels (TEL), and Probably Effect Levels (PEL) values referred to sediment quality guideline. These results were indicated low potential of causing an adverse biological effect.","PeriodicalId":202832,"journal":{"name":"OLDI (Oseanologi dan Limnologi di Indonesia)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134620932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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