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Community Structure of Seagrass in Harapan Island, Seribu Islands, Indonesia 印度尼西亚Seribu群岛Harapan岛海草群落结构
Pub Date : 2022-01-03 DOI: 10.14710/ik.ijms.27.1.20-28
R. Adharini, T. R. Yuniarga, Nindya Larasaty Prasetya, F. Rachman
Seagrass is an aquatic biota that is ecologically and economically beneficial. This study aims to determine the community structure of seagrass in Harapan Island, Seribu Islands, Indonesia. The research was conducted using purposive sampling method, that divided into two sites which is considered to represent the ecology’s condition of Harapan Island. The site 1 was located adjacent to the mangroves area, while the site 2 was placed near a reclamation development and ship anchoring. Every site had three subsites as replications, each was 50 meters apart. Water parameters temperature, salinity, turbidity, pH, dissolved oxygen (DO), depth, and organic compound of each site were measured. The results showed that coverage of seagrass in site 2 is higher than site 1 that categorized as frequent-common coverage. The site 2 had the density of 220 individuals seagrass per square meter that dominated by Cymodocea rotundata. The highest diversity index was found in the site 1 at 1.15, with the lowest dominance index being 0.39. The distribution pattern in site 1 is clustered and uniform, while site 2 is uniform. The Importance Value Index in site 1 was 114,8 by Halodule uninervis, while site 2 was 125,5 by C. rotundata. It is thought that the low diversity of seagrass at the site 2 due to it was near a reclamation development and ship anchoring that disturb the abundance and community structure of seagrass in Harapan Island. Habitat destruction and anthropogenic impact of seagrass need to be minimized to support environmental coastal and fisheries sustainability.
海草是一种具有生态效益和经济效益的水生生物。本研究旨在确定印尼塞里布群岛哈拉潘岛的海草群落结构。研究采用有目的的抽样方法,分为两个地点,被认为是代表哈拉潘岛的生态状况。工地1毗邻红树林,而工地2则靠近填海发展和船舶停泊处。每个站点都有三个子站点作为复制,每个子站点相距50米。测量了每个地点的水温、盐度、浊度、pH、溶解氧(DO)、深度和有机化合物。结果表明,样地2的海草盖度高于样地1,为常覆盖样地;样地2海草密度为220株/ m2,以圆形Cymodocea rotundata为主。位点1的多样性指数最高,为1.15,优势度指数最低,为0.39。站点1的分布格局为集群化、均匀化,站点2的分布格局为均匀化。样地1的重要值指数为114,8,样地2的重要值指数为125,5。选址2的海草多样性较低,可能是由于邻近填海工程和船只停泊,影响了希望岛海草的丰富度和群落结构。必须尽量减少对生境的破坏和人为对海草的影响,以支持环境、沿海和渔业的可持续性。
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引用次数: 2
DNA barcoding of the soft coral, Clavularia inflata, shows two major groups across Indonesian coral reefs 软珊瑚Clavularia inflata的DNA条形码显示了印度尼西亚珊瑚礁的两个主要群体
Pub Date : 2021-12-10 DOI: 10.14710/ik.ijms.27.1.1-12
B. Subhan, D. Bengen, S. Ferse, Fauzan Dzulfannazhir, Luzmi Malia Izza, N. P. Anggraini, P. Santoso, D. Arafat, L. M. I. Sani, H. Madduppa
Clavularia inflata was first described from Ternate Island, Indonesia in 1896 and later reported appeared from Japan and Taiwan in 1953.Clavularia (Blainville 1830) soft corals exhibit complex morphological traits that are difficult to differentiate, thus complicating their identification. DNA barcoding has been envisioned and actively pushed as a credible method for assigning unidentified specimens to known species by comparison to a molecular reference data database. Thus, the purpose of this study was to use molecular methods to confirm the identity of 25 colonies taken from 13 Indonesian coral reef sites and putatively identified as Clavularia inflata. All specimens were identified as Clavularia inflata molecularly using the mitochondrial DNA mtMuts gene. Although a comparison of the nucleotide base chains to Genbank data indicates that the samples belong to a single species, two clades in the phylogenetic tree and data from the Automatic Barcode Gap Discovery (ABGD) indicate that there are two major groups of C. inflata in Indonesia, implying cryptic species.
1896年首次在印度尼西亚特尔纳特岛被发现,1953年在日本和台湾也有报道。Clavularia (Blainville 1830)软珊瑚表现出复杂的形态特征,难以区分,从而使其识别复杂化。DNA条形码已经被设想并积极推动作为一种可靠的方法,通过与分子参考数据库进行比较,将未知标本分配给已知物种。因此,本研究的目的是利用分子方法来确认从13个印度尼西亚珊瑚礁地点采集的25个菌落的身份,并推定其为膨胀Clavularia。所有标本均通过线粒体DNA mtMuts基因分子鉴定为膨胀棒藻。虽然核苷酸碱基链与Genbank数据的比较表明这些样本属于单一物种,但系统发育树上的两个进化支和自动条形码缺口发现(ABGD)的数据表明,印度尼西亚有两个主要的C. inflata类群,这意味着隐种。
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引用次数: 1
Exploration of Plastic-Degrading Bacteria From Marina Beach, Semarang, Central Java 中爪哇三宝垄滨海海滩塑料降解细菌的探索
Pub Date : 2021-11-02 DOI: 10.14710/ik.ijms.26.4.247-253
Awalina Choirunnisa Rachmawati, Anggara Mahardika, Djohan Djohan, A. Susanto, B. B. Andriana
Plastic waste has threatens the environment and affect to the economic and tourism sectors, marine life, coastal ecosystems and human health. World Wide Fund for Nature (WWF) states that 85% of waste in the oceans is plastic. The Ministry of Environment and Forestry also noted that Indonesia experienced an increase in plastic waste from 14% in 2013 to 16% in 2016.  By 2020 the volume of plastic waste in Indonesia predicted to reach 67.8 million tons. Plastic waste takes 100-500 years to completely decompose. An alternative solution is to involve microorganisms to decompose plastic polymers. However, plastic waste reducing bacteria isolated from coastal ecosystem has not been much explored. In this study, an exploration of natural bacteria that degrades plastic waste from coastal ecosystems is carried out. Plastic samples were collected from the Marina Beach Semarang, Central Java. Plastic samples were taken from a depth of 0-10 cm in three coastal ecosystems: coastal sand sediments, rocks and mangroves. Samples then isolated and screened to obtain bacteria that have the potential to degrade polyethylene. Selected bacteria were identified by biochemical physiology according to the method of Cappuccino and Sherman and classified to genus level according to Bergey's Manual of Determinative Bacteriology and Bergey's Manual of Systematic Bacteriology. The results showed that three genera of bacteria had high polyethylene degradation potential with the speed of degradation: Enterobacteriaceae 0.0091%; Moraxella spp. 0.0066%; and Pseudomonas spp. 0.0076% per week.
塑料废物威胁着环境,影响着经济和旅游部门、海洋生物、沿海生态系统和人类健康。世界自然基金会(WWF)表示,海洋中85%的垃圾是塑料。印尼环境和林业部还指出,印尼的塑料垃圾从2013年的14%增加到2016年的16%。到2020年,印尼的塑料垃圾总量预计将达到6780万吨。塑料垃圾需要100-500年才能完全分解。另一种解决方案是利用微生物来分解塑料聚合物。然而,从沿海生态系统中分离出的塑料废物减少细菌尚未得到很多探索。在这项研究中,对降解沿海生态系统中塑料废物的天然细菌进行了探索。在中爪哇三宝垄滨海海滩收集了塑料样本。塑料样本取自3个沿海生态系统0-10厘米的深度:海岸沙质沉积物、岩石和红树林。然后对样品进行分离和筛选,以获得有可能降解聚乙烯的细菌。根据卡布奇诺(Cappuccino)和谢尔曼(Sherman)的方法对所选细菌进行生化生理学鉴定,并根据《Bergey’s Manual of Determinative Bacteriology》和《Bergey’s Manual of Systematic bacterology》进行属级分类。结果表明,3种细菌具有较高的聚乙烯降解潜力,降解速度为:肠杆菌科为0.0091%;莫拉菌0.0066%;假单胞菌为0.0076%。
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引用次数: 0
Producing Active Secondary Metabolite Against Pathogenic Vibrio spp. by Actinobacteria-Sodium Alginate Co-Culture 放线菌-海藻酸钠共培养产生抗致病性弧菌活性次级代谢物
Pub Date : 2021-10-15 DOI: 10.14710/ik.ijms.26.4.254-264
N. Azhar, E. Yudiati, S. Subagiyo, R. Alghazeer
Vibrio vulnificus, Vibrio parahaemolyticus and Vibrio harveyi have been found in aquatic environments and suspected as the primary trigger of WFD (White Feces Disease) outbreaks in aquaculture. This Vibrio spp. has an antibiotic resistance to Ampicillin, Co-Amoxiclav, Amoxicillin, Azithromycin, Actinobacteria and Ciprofloxacin HCL. Actinobacteria and alginate have been reported to increase the marine biota resistance against diseases through prebiotic and probiotic mechanisms. This study aims to discover and increase the secondary metabolite production of Actinobacteria-Alginate and its ability as anti-vibrio. Alginate extraction in the samples dated September 2020 originally from Teluk Awur Bays, Jepara, Central Java, Indonesia (33.73±1.84%) was considerably higher than in May 2021 (22.67±0.3%). Samples were taken from sediment and mangrove root. Actinobacteria strains are macroscopically and microscopically similar to the genus Streptomyces. The most well-known antibiotics were produced by Streptomyces spp. The anti-vibrio test was carried out by Kirby-Bauer disc diffusion. The results were observed by measuring the inhibition zone surrounding the paper disc using a digital calliper. Co-culture strain 90 together with alginate have an approved antibacterial activity against all Vibrio spp. in the concentration of 10.disc-1 mg and 5 mg.disc-1. Co-culture Actinobacteria with alginate has remarkably changed the green-yellow color to olive green/dark red-orange (strains 3, 62, 63, 72, and 90), indicating the transformation of the formation alginate with pigments into other compounds through the biosynthetic pathway. Therefore, alginate enables to support of Actinobacteria by induction the active secondary metabolite as an anti-vibrio to counteract the bacterial pathogen diseases.
在水生环境中发现了创伤弧菌、副溶血性弧菌和哈维弧菌,它们被怀疑是水产养殖中白粪病暴发的主要诱因。该弧菌属对氨苄西林、复方阿莫西林、阿莫西林、阿奇霉素、放线菌和环丙沙星HCL具有耐药性。放线菌和海藻酸盐已被报道通过益生元和益生菌机制增强海洋生物群对疾病的抵抗力。本研究旨在发现和提高海藻酸放线菌次生代谢产物的产量及其抗弧菌的能力。2020年9月来自印度尼西亚中爪哇Jepara的Teluk Awur海湾的样品中藻酸盐的提取率(33.73±1.84%)显著高于2021年5月(22.67±0.3%)。样本取自沉积物和红树林根。放线菌菌株在宏观和微观上与链霉菌属相似。最著名的抗生素由链霉菌产生,抗弧菌试验采用Kirby-Bauer圆盘扩散法进行。用数字卡尺测量纸圆盘周围的抑制带,观察结果。菌株90与海藻酸盐共培养,在浓度为10时,对所有弧菌均有抑菌活性。碟片1毫克和5毫克,碟片1。与藻酸盐共培养的放线菌(菌株3、62、63、72和90)的绿黄色明显转变为橄榄绿/深红橙色,表明藻酸盐与色素的形成通过生物合成途径转化为其他化合物。因此,海藻酸盐能够通过诱导活性次级代谢物作为抗弧菌来支持放线菌,以对抗细菌病原体疾病。
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引用次数: 3
Biodegradation of Polyethylene Microplastic using Culturable Coral-Associated Bacteria Isolated from Corals of Karimunjawa National Park 从卡里蒙加瓦国家公园珊瑚中分离的可培养珊瑚相关细菌生物降解聚乙烯微塑料
Pub Date : 2021-10-01 DOI: 10.14710/ik.ijms.26.4.237-246
P. A. Widyananto, S. Muchlissin, A. Sabdono, B. Yulianto, F. Hamid, O. Radjasa
Polyethylene is a plastic material that was globally produced and is well known as a non-degradable pollutant product. Plastic pollution, primarily microplastics, have been distributed to coral reef ecosystems, where these areas are ecosystems with high productivity. Karimunjawa National Park in Indonesia is one of the protected areas for coral reef ecosystem habitat in Central Java, threatened by microplastic contamination. Recent studies have shown that coral-associated bacteria have an adequate ability to degrade marine pollutant materials. No one has reported that the use of indigenous coral-associated bacteria has the potential for microplastic biodegradation, especially low-density polyethylene microplastic materials. Hence, the objective of this study was to find the potential of microplastic biodegradation agents derived from coral-associated bacteria in Karimunjawa National Park area. Various coral life-forms were isolated in July 2020 from conservation areas and areas with anthropogenic influences. Bacterial isolates were screened using tributyrin and polycaprolactone as substrates to reveal potential microplastic degradation enzymes. The total isolation results obtained 92 bacterial isolates, and then from the result of enzyme screening, there were 7 active bacteria and only 1 bacteria that potential to degrade polyethylene. LBC 1 showed that strain could degrade by 2.25±0.0684 % low-density polyethylene microplastic pellet by incubating bacterial growth until the stationary phase. Identification of LBC 1 strain was carried out by extracting DNA and bacterial 16S rRNA sequences. Bacterial gene identification refers to Bacillus paramycoides with a similarity level in the National Center Biotechnology Information database of 99.44%. These results prove that hard coral association bacteria can degrade low-density polyethylene microplastics.
聚乙烯是一种全球生产的塑料材料,是众所周知的不可降解的污染物产品。塑料污染,主要是微塑料,已经分布到珊瑚礁生态系统中,这些地区是生产力高的生态系统。印度尼西亚Karimunjawa国家公园是中爪哇珊瑚礁生态系统栖息地的保护区之一,受到微塑料污染的威胁。最近的研究表明,与珊瑚有关的细菌有足够的能力降解海洋污染物。没有人报告说,使用与珊瑚有关的本地细菌具有微塑料生物降解的潜力,特别是低密度聚乙烯微塑料材料。因此,本研究的目的是寻找来自Karimunjawa国家公园地区珊瑚相关细菌的微塑料生物降解剂的潜力。2020年7月,从保护区和受人为影响的地区分离出了各种珊瑚生命形式。以三丁酸甘油酯和聚己内酯为底物筛选细菌分离物,揭示潜在的微塑料降解酶。总分离结果得到92株分离菌,然后从酶筛选结果来看,有7株活性菌,只有1株有降解聚乙烯的潜力。LBC - 1结果表明,菌株可降解2.25±0.0684%的低密度聚乙烯微塑料颗粒,培养至固定阶段。通过提取DNA和细菌16S rRNA序列对LBC - 1菌株进行鉴定。细菌基因鉴定是指在国家中心生物技术信息数据库中相似度为99.44%的副芽孢杆菌。这些结果证明,硬珊瑚结合菌可以降解低密度聚乙烯微塑料。
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引用次数: 5
Marine bacterium Seonamhaeicola algicola strain CC1 as a potential source for the antioxidant carotenoid, zeaxanthin 海洋细菌Seonamhaeicola algicola菌株CC1作为抗氧化剂类胡萝卜素玉米黄质的潜在来源
Pub Date : 2021-09-27 DOI: 10.14710/ik.ijms.26.4.215--224
T. H. Brotosudarmo, E. Setiyono, K. Awai, D. Pringgenies
Currently, there are only six species in the genus Seonamhaeicola, i.e., Seonamhaeicola aphaedonensis, S. algicola, S. marinus, S. acroporae, S. maritimus, and S. sediminis. These bacteria have typical yellow or orange color. Among the identified strains, only S. marinus that had been reported to have a yellow polyene flexirubin pigment. However, the presence of carotenoid pigments has not been reported in this genus. Recently, we successfully isolated a new strain, S. algicola strain CC1, bacterium that was found in association with a red seaweed, Halymenia sp., collected from the coast of South Malang, Indonesia. The strain was grown well in the Zobell marine agar 2216E producing yellowish pigments. According to the 16S rRNA sequencing analysis and BLAST search, the strain is closely related to S. algicola strain Gy8, with 99.78% identity. The pigment composition was separated and analyzed by a high-performance liquid chromatography with tandem mass spectrometry detection (HPLC-MS/MS) and the strain was found to produce zeaxanthin as the major component, which appeared at a retention time (tR) of 28.89 min, showing a typical mass spectrum with a molecular ion at m/z 568.5 [M]+ and four product ions at m/z 261.4 [M−307]+, 476.6 [M−92]+, 429.3 [M−139]+, and 536.5 [M− 32]+. Other carotenoids, including zeaxanthin cis isomers, β-cryptoxanthin, β-carotene cis isomer, and β-carotene, are as minor components. The novel and noteworthy finding of this report is the identification of a Seonamhaeicola species that produces carotenoids and can be used as a source of zeaxanthin.
目前,Seonamhaeicola属仅有6种,即Seonamhaeicola aphaedonensis、S. algicola、S. marinus、S. acroporae、S. maritimus和S. sediminis。这些细菌呈典型的黄色或橙色。在已鉴定的菌株中,只有已报道的S. marinus含有黄色多烯柔红素色素。然而,类胡萝卜素色素的存在还没有报道在这个属。最近,我们成功分离了一种新的菌株,S. algicola菌株CC1,这种细菌是在印度尼西亚南玛琅海岸收集的一种红海藻中发现的。菌株在佐贝尔海洋琼脂2216E中生长良好,产生淡黄色色素。经16S rRNA测序分析和BLAST检索,该菌株与algicola菌株Gy8亲缘关系较近,同源性为99.78%。采用高效液相色谱-串联质谱法(HPLC-MS/MS)对色素成分进行了分离分析,发现该菌株主要产生玉米黄质,保留时间(tR)为28.89 min,具有典型的质谱特征,分子离子为m/z 568.5 [m]+,产物离子为m/z 261.4 [m−307]+、476.6 [m−92]+、429.3 [m−139]+和536.5 [m−32]+。其他类胡萝卜素,包括玉米黄质顺式异构体、β-隐黄质、β-胡萝卜素顺式异构体和β-胡萝卜素,是次要成分。本报告的新颖和值得注意的发现是鉴定了一种产生类胡萝卜素并可作为玉米黄质来源的Seonamhaeicola物种。
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引用次数: 1
Observed features of the water masses in the Halmahera Sea in November 2016 2016年11月Halmahera海水团观测特征
Pub Date : 2021-09-01 DOI: 10.14710/ik.ijms.26.4.225-236
M. R. Iskandar, A. Purwandana, D. Surinati, Wang-gang Zheng
Halmahera Sea is one of the locations in the eastern route of Indonesian Throughflow (ITF), where high salinity water is mainly transported by the ITF. The description of water mass in the Halmahera Sea from the perspective of water mass, and related mixing is important. It is not only useful for understanding water mass features, but it can also be used to determine the strength of the turbulent mixing, and so allow how it relates to the water transformation. Here, we report the water mass properties and estimation of mixing quantities in the Halmahera Sea from the CTD profiles based on recent onboard observations during the IOCAS cruise in November 2016. The water mass analysis was done by examining the characteristics of water types in the Temperature-Salinity (T-S) diagram. The mixing estimation uses the density profile derived from temperature and salinity profiles and the quantification of vertical turbulence observed by density overturn. Halmahera Sea is to be found as the location where the thermocline salinity changes abruptly, it is shown from the erosion of salinity maximum in the density of 22-26σθ decreased from the north to the south of the basin. It is associated with strong mixing with spots of higher vertical diffusivity in the thermocline and intermediate layer. In the upper layer, the mixed layer depth in the Halmahera Sea is relatively shallow with an average of about 16.95 m and it is associated with weak wind stress during this month.
Halmahera海是印度尼西亚通流(ITF)东线的位置之一,高盐度水主要由ITF输送。从水团及其混合的角度描述哈马黑拉海的水团是很重要的。它不仅有助于理解水的质量特征,而且还可以用来确定湍流混合的强度,从而了解它与水转化的关系。在这里,我们根据2016年11月IOCAS巡航期间的最新船上观测数据,报告了Halmahera海的水质量特性和混合量的估计。水质量分析是通过检查温度-盐度(T-S)图中水类型的特征来完成的。混合估计使用由温度和盐度剖面导出的密度剖面和密度翻转观测到的垂直湍流的量化。哈马黑拉海是温跃层盐度突变的位置,从盐度的侵蚀可以看出,盐度在22-26σθ的密度由北向南递减。它与温跃层和中间层中垂直扩散系数较高的点的强混合有关。在上层,Halmahera海混合层深度相对较浅,平均约为16.95 m,本月与弱风应力有关。
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引用次数: 0
Prediction of Salinity Based on Meteorological Data Using the Backpropagation Neural Network Method 基于气象资料的反向传播神经网络预测盐度
Pub Date : 2021-08-20 DOI: 10.14710/ik.ijms.26.3.207-214
A. Azizah, D. C. R. Novitasari, Putroue Keumala Intan, F. Setiawan, Ghaluh Indah Permata Sari
Salinity is the level of salt dissolved in water. The salinity level of seawater can affect the hydrological balance and climate change. The salinity level of seawater in each area varies depending on the influencing factors, that is evaporation and precipitation (rainfall). One way to find out the salinity level is by taking seawater samples, which requires a long time and costs a lot. In this study, the salinity level of seawater can be predicted by utilizing time series data patterns from evaporation and precipitation using artificial neural network learning, namely the backpropagation neural network. The evaporation and precipitation data used were derived from the ECMWF dataset, while the salinity data were derived from NOAA where each data was taken at the coordinate point of 9,625 113,625 in the south of Java island. Seawater salinity, evaporation, and precipitation data were formed into a 7-day time series data. This study conducted several backpropagation architectural experiments, that is the learning rate, hidden layer, and the number of nodes in the hidden layer to obtain the best results. The results of the seawater salinity prediction were obtained at a MAPE value of 2.063% with a model architecture using 14 input layers, 2 hidden layers with 10 nodes and 2 nodes, 1 output layer, and a learning rate of 0.7. Predicted sea water salinity data ranging from 33 to 35 ppt. Therefore, the prediction system for seawater salinity using the backpropagation method can be said to be good in providing information about the salinity level of sea water on the island of Java.
盐度是指溶解在水中的盐的含量。海水的盐度水平会影响水文平衡和气候变化。每个地区的海水盐度水平取决于影响因素,即蒸发和降水(降雨)。一种确定盐度水平的方法是采集海水样本,这需要很长时间和很多费用。在本研究中,利用人工神经网络学习,即反向传播神经网络,利用蒸发和降水的时间序列数据模式来预测海水的盐度水平。蒸发量和降水量数据来源于ECMWF数据集,盐度数据来源于NOAA数据集,每项数据均取自爪哇岛南部9,625 113,625坐标点。海水盐度、蒸发和降水数据形成一个7天的时间序列数据。本研究进行了几个反向传播架构实验,即学习率,隐藏层,隐藏层中的节点数,以获得最佳结果。海水盐度预测结果为MAPE值为2.063%,模型架构为14个输入层、2个10节点隐含层和2个节点隐含层、1个输出层,学习率为0.7。预测海水盐度数据范围为33至35 ppt。因此,使用反向传播方法的海水盐度预测系统可以说是很好的提供了爪哇岛海水盐度水平的信息。
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引用次数: 2
Monitoring of Sedimentation on Geosynthetic Bags Installation Area in Banyuurip Mangrove Center, Ujung Pangkah, Gresik, Indonesia 印度尼西亚格瑞斯克Ujung Pangkah Banyuurip红树林中心土工合成袋安装区沉积监测
Pub Date : 2021-07-13 DOI: 10.14710/ik.ijms.26.3.173-181
A. Sartimbul, S. W. Ningtias, C. Dewi, Muhammad Arif Rahman, D. Yona, Syarifah Hikmah Julinda Sari, N. Hidayati
Banyuurip is one of the villages in Ujung Pangkah District which has potential natural resource that is mangrove forests. However, the occurrence of abrasion and conversion of mangrove land has impacted mangrove ecosystem. Rehabilitation efforts by replanting mangroves have been carried out, but they have not been effective in overcoming the current problems. The reduction of mangrove area that led the decreased of mangrove’s function can affect the livelihood of the local community, including fishermen. The installation of geosynthetic bags, which are sand-filled bags arranged on the ground, is done as an alternative solution in Banyuurip Village which functions as coastal protection and a sediment trap. The utilization of geosynthetic material is often used to help the coastal problem, the used of geosynthetic material is rarely carried out in mangrove areas. This study aims to determine the sediment characteristics, sedimentation rates, and sedimentation process based on the relationship between current velocity and sedimentation rate. The result shows that generally the type of sediment fraction in this location is silt (79,12% - 80,12%) and the rest is clay. The current installation of geosynthetic bags can result in the land extension from the trapped sediment behind the structure. In addition, the current velocity conditions and the sediment transport process also affect the sedimentation process that occurs. The average sedimentation rates around the geosynthetic bags installation area ranged from 150.72-305.01 mg.cm-2.day-1. This study may provide a basic information for further development in Banyuurip Mangrove Center and other mangrove conservation area.  
Banyuurip是Ujung Pangkah区的一个村庄,拥有潜在的自然资源,即红树林。然而,红树林土地的磨损和转化对红树林生态系统造成了影响。已经进行了重新种植红树林的恢复努力,但这些努力未能有效地克服目前的问题。红树林面积的减少导致红树林功能的下降,会影响当地社区的生计,包括渔民。在Banyuurip村安装土工合成袋,这是一种布置在地面上的填沙袋,作为一种替代解决方案,具有海岸保护和沉积物捕获的功能。土工合成材料的利用通常用于帮助沿海问题,土工合成材料的使用很少在红树林地区进行。本研究旨在根据流速与沉积速率的关系,确定沉积物特征、沉积速率和沉积过程。结果表明,该地区沉积物组分类型一般为粉砂(79.12% ~ 8012%),其余为粘土。目前土工合成袋的安装会导致建筑物后面被困沉积物的土地延伸。此外,水流流速条件和输沙过程也会影响所发生的沉积过程。土工合成袋安装区周围的平均沉降速率为150.72 ~ 305.01 mg.cm-2.day-1。本研究可为Banyuurip红树林中心及其他红树林保护区的进一步开发提供基础资料。
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引用次数: 1
Seasonal Variability of Waves Within the Indonesian Seas and Its Relation With the Monsoon Wind 印尼海波浪的季节变化及其与季风的关系
Pub Date : 2021-06-02 DOI: 10.14710/ik.ijms.26.3.189-196
P. Purwanto, D. Sugianto, M. Zainuri, G. Permatasari, Warsito Atmodjo, B. Rochaddi, A. Ismanto, P. Wetchayont, A. Wirasatriya
The previous studies have simulated the variability of the wave within the Indonesian seas which showed that the variability of wave follows the seasonal pattern. However, their analysis only consider the influence of local wind forcings. The bias and error of their simulated wave were also unclear. In the present study, we investigate the variability of wave within the Indonesian seas and its relation with the surface wind speed using the combination of reanalysis and remote sensing data with high accuracies. We split the analysis into swell and wind wave to obtain the influence of local and remote wind forcings. We show that at the inner seas (i.e., the South China Sea, Java Sea, Flores Sea, Banda Sea and Arafura Sea), the variability of significant wave height (SWH) is majorly influenced by the variability of the speed of monsoon wind. The maximum SWH during Northwest monsoon (NWM) season is located at the South China Sea while during Southeast monsoon (SEM) season is at Arafura Sea. This indicates that the wind wave (sea) is dominant at the inner seas. At the open seas (i.e., Pacific Ocean and Indian Ocean) the variability of SWH less corresponds to the the speed of monsoon wind. The remote wind forcings control the wave variability in the open ocean area. This indicates that swell is dominant at the open seas. In general, the magnitude of SWHswell is also more than SWHsea within the Indonesian seas.
以往的研究模拟了印尼海域内波浪的变化,结果表明波浪的变化遵循季节规律。然而,他们的分析只考虑了当地风力的影响。他们的模拟波的偏差和误差也不清楚。本文利用再分析和高精度遥感资料相结合的方法,研究了印尼海域波浪的变率及其与地面风速的关系。我们将分析分为涌浪和风浪,以获得局地风强迫和远地风强迫的影响。结果表明,在南海、爪哇海、弗洛雷斯海、班达海和阿拉弗拉海等内海,显著波高(SWH)的变化主要受季风风速变化的影响。西北季候风(NWM)季节最大SWH位于南海,东南季候风(SEM)季节最大SWH位于阿拉弗拉海。这说明内海以风浪(海)为主。在公海(即太平洋和印度洋),SWH less的变率与季风的速度相对应。远程风强迫控制着开阔海域的波浪变率。这表明在公海上,涌浪占主导地位。一般来说,在印尼海域,swwhswell的强度也大于swwhsea。
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引用次数: 7
期刊
ILMU KELAUTAN: Indonesian Journal of Marine Sciences
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