Kepadatan Stok, Komposisi Jenis, Struktur Ukuran dan Daerah Penangkapan Ikan di Teluk Jakarta

Jakarta Bay has a variety of biota as a fishery resource, the utilization of which is continuous intensively. this study aims to obtain the data and information on stock density, species composition, size structure and fishing ground. The research was conducted by means of exploration and observation in 2016. The results showed that the average stock density in Jakarta Bay was 11,400 kg/km2 and in the Seribu Islands 25,500 kg/km2. Stock density distribution based on vertical coastline is obtained; mouth part 13,925 kg/km2, middle 11,709 kg/km2 and the coast 8,326 kg/km2. Coastal horizontal distribution; West area 15,311 kg/km2, Central 9,256 kg/km2 and East 9,259 kg/km2. Based on area in the Seribu Islands 25,500 kg/km2, Jakarta Bay 11,320 kg/km2 and Tangerang 11,610 kg/km2. Stock composition includes; demersal fish 84.53%, Cephalopods 9.98%, Crustaceae 4.32% and others. The fishing area of gill nets is wider and more spread out than other fishing gear.

Numerical Study of Microplastic Dispersal in Simulated Coastal Waters Using CFD Approach

Microplastics are accumulated in coastal regions due to human activity. Although limited data from beach surveys show an increase in microplastics in marine habitats, continuous monitoring is required on microplastics loading and distribution in the marine environment. In this study, CFD numerical simulations using VOF and Airy wave models coupled with DPM were carried out to investigate the effects of various variables on microplastics motion and distribution in a simulated coastal marine environment. PET, PU, and PP microplastic particles were released from the oceanside to investigate the effects of microplastic type, size, and shape with two different ocean–water flow velocities and temperature conditions. Particle position data from their tracking were used to determine the effect of each variable on the spatial distribution of particles. The quantitative analysis of vertical and horizontal distribution of microplastics particles revealed that, with low water velocity, most of the large denser spherical PET and PU microplastics would sink towards the bottom and settle at the ocean floor, while most of the small non-spherical particles would float near the surface and travel towards the shoreline. For lighter PP microplastics, larger spherical particles would float more readily than denser spherical ones. Large spherical and smaller non-spherical PP particles travel farthest reporting to the shoreline. Increasing the oceanwater velocity altered the distribution patterns in which lighter PP particles, almost independent of shape and size, travel swiftly to the shoreline together with smaller non-spherical denser microplastics. Lastly, the simulation results revealed that the oceanwater temperature did not play any significant role in the spatial distribution of microplastic particles.

Distributions of environmental parameters and fish at Humbold Bay, Jayapura

Research on the distribution of fish and plankton in waters that are equipped with environmental parameters is needed to obtain maximum results and increase accuracy also it provides comprehensive information. The research, which was conducted in Humbold Bay, aimed to map the fish and plankton distribution data both vertically and horizontally and combine it with environmental parameters in the bay. Fish and plankton’s data was the volume backscattering strength (Sv) value obtained using the SIMRAD EK-15 device while environmental parameter data, such as temperature, salinity, and chlorophyll obtained from marine.copernicus.eu which processed in the 5-80 m depth range. The results showed that Humbold Bay had the highest average surface temperature distribution was 30 °C, with the highest average salinity from 35.89 ppt and the highest average chlorophyll value from 0.3859 mg/m3. The horizontal distribution of plankton had an average SV value of -76.63 dB, while the fish was -56.00 dB that evenly distributed. Vertically, the Sv of plankton decreased with increasing depth as well as the Sv of fish which its’ also did not have a distribution pattern in certain environmental parameters.

Modeling climate phenomenon with software grids analysis and display system in the development of the global warming module

This study aims to model climate change based on rainfall, air temperature, pressure, humidity and wind with grADS software and create a global warming module. This research uses 3D model, define, design, and develop. The results of the modeling of the five climate elements consist of the annual average temperature in Indonesia in 2009-2015 which is between 29oC to 30.1oC, the horizontal distribution of the annual average pressure in Indonesia in 2009-2018 is between 800 mBar to 1000 mBar, the horizontal distribution the average annual humidity in Indonesia in 2009 and 2011 ranged between 27-57, in 2012-2015, 2017 and 2018 it ranged between 30-60, during the East Monsoon, the wind circulation moved from northern Indonesia to the southern region Indonesia. During the west monsoon, the wind circulation moves from the southern part of Indonesia to the northern part of Indonesia. The global warming module for SMA/MA produced is feasible to use, this is in accordance with the value given by the validate of 69 which is in the appropriate category and the response of teachers and students through a 91% questionnaire.

FORMATION OF ZOOPLANKTON IN THE BOGUCHANY RESERVOIR DURING ITS FILLING

For the first time, we present the materials of the spatial distribution of qualitative and quantitative indicators of zooplankton in the first year of top water level (TWL) in the Boguchany Reservoir. We indicate the dynamics of the formation of the zooplankton community in the Upper section of the reservoir during its filling (from 2013 to 2015). The Irkutsk, Bratsk, and Ust-Ilimsk reservoirs influence the composition and structure of zooplankton in the Boguchany Reservoir that closes the cascade of the Angara HPPs, and there is a great similarity of the crustacean and rotifer fauna with the upstream artificial reservoirs. During the study period (from 2013 to 2017), the plankton fauna included 84 species from 49 genera and 23 families. The horizontal distribution of quantitative indicators throughout the water area of the reservoir had a mosaic pattern. The relative and absolute proportion of rotifers in the composition of zooplankton decreased from the Upper section to the Lower one, and the dominance of crustaceans was opposite. Due to this, the maximum number (129±97.8 thou ind./m3) of zooplankton was recorded in the Upper section, and the biomass (2080±676 mg/m3) – in the Lower section. The obtained unique data on the composition, structure and quantitative development of zooplankton in the Boguchany Reservoir during its formation and filling are important for further monitoring of its state, including the assessment of the feeding of planktonophagous fish and juvenilefish.

Contact-Complex Riemannian Submersions

A submersion from an almost contact Riemannian manifold to an almost Hermitian manifold, acting on the horizontal distribution by preserving both the metric and the structure, is, roughly speaking a contact-complex Riemannian submersion. This paper deals mainly with a contact-complex Riemannian submersion from an η-Ricci soliton; it studies when the base manifold is Einstein on one side and when the fibres are η-Einstein submanifolds on the other side. Some results concerning the potential are also obtained here.

The spatial distribution characteristics of typical pathogens and nitrogen and phosphorus in the sediments of Shahe Reservoir and their relationships

Using samples collected in Shahe Reservoir in the upper North Canal in China, this research analyzes the structure of a microorganism group in sediment and the absolute abundance of two typical pathogenic bacteria (Escherichia coli and Enterococcus), and their relationship with environmental factors including total nitrogen (TN) and total phosphorus (TP). The study of samples collected from the surface (0–20 cm) and sediment cores shows that the absolute abundance of E. coli in horizontal distribution in the sediment is highest in downstream of the reservoir and point source pollution area. In vertical distribution, the absolute gene expression level of the two pathogenic bacteria in the sediment tends to decrease with increasing depth, although its highest value at 10–30 cm depth. The relative abundance the two pathogenic bacteria is much greater in the sediment of Shahe Reservoir with the structure of horizontal groups including Clortridium sensu stricto, unclassified Anaeroineaceae, and Povalibacter, while Anaeroineaceae is much more abundant in the group structure of the vertical distribution. Pearson correlation analysis suggests positive correlation in horizontal distribution for E. coli and TN and TP (P < 0.05) and for Enterococcus and TP (P < 0.05). The results clearly show that the amount of pathogenic bacteria in the sediment in Shahe Reservoir is most likely due to water eutrophication.

A Schematic Model of Low Temperature and High Salinity Seawaters in Southern Java of the Indian Ocean during ENSO-IOD 2017

The semi-peRmanent jAva coasTal Upwelling that is known as RATU, it was named semi-permanent because upwelling does not occur every month of the year in Southern Java has been investigated by several international researchers. However, this study focused on investigating the horizontal distribution of upwelling areas, using the indicator of low temperature (max. ∼26°C) and high salinity (min. 34 PSU) seawater mass, in different depth layers. The datasets were obtained from HYCOM, with the wind daily as well as the monthly ONI, SOI ENSO, and DMI datasets obtained from ECMWF, NOAA, BoM Australia, and Jamstec, respectively. Furthermore, the horizontal propagation of the low temperature and high salinity in 2017 at depths of 0 m, 50 m, 75 m, 125 m, 150 m, and 300 m have been observed and modeled as schematics. According to the results, the probable upwelling area begins from 150/125 meters to 75/50 meters layer depth. In these layers, the horizontal propagation from the east monsoon (July) to the transition monsoon (October) dominantly begins from the east and moves westward. This shows the highest correlation between temperature/salinity and SOI occurred from August to October during La Nina, from a depth of 0 m to 100m. Similarly, for the ONI, low temperature and high salinity also occurred from the Normal phase to the La Nina phase. The correlation between temperature/salinity and IOD shows the probable upwelling season occurred during IOD (+) phase until a 100 m depth because salinity becomes more irregular with increasing ocean depth.

Horizontal distribution of tropospheric NO₂ and aerosols derived by dual-scan multi-wavelength MAX-DOAS measurements in Uccle, Belgium

Dual-scan ground-based Multi-AXis Differential Optical Absorption Spectroscopy (MAX-DOAS) measurements of tropospheric nitrogen dioxide (NO2) and aerosols have been carried out in Uccle (50.8° N, 4.35° E; Brussels region, Belgium) for two years, from March 2018 to February 2020. The MAX-DOAS instrument has been operating in both UV and Visible wavelength ranges in a dual-scan configuration consisting of two sub-modes: (1) an elevation scan in a fixed viewing azimuthal direction and (2) an azimuthal scan in a fixed low elevation angle (2°). By analyzing the O4 and NO2 dSCDs at six different wavelength intervals along every azimuthal direction and by applying a new Optimal-Estimation-based inversion approach, the horizontal distribution of the NO2 near-surface concentrations and vertical column densities (VCDs) and the aerosols near-surface extinction coefficient are retrieved along ten azimuthal directions. The retrieved horizontal NO2 concentration profiles allow the identification of the main NO2 hotspots in the Brussels area. Correlative comparisons of the retrieved horizontal NO2 distribution have been conducted with airborne, mobile, and satellite datasets, and overall a good agreement is found. The comparison with TROPOMI observations reveals that the characterization of the horizontal distribution of tropospheric NO2 VCDs by ground-based measurements, the appropriate sampling of TROPOMI pixels, and an adequate a priori NO2 profile shape in TROPOMI retrievals lead to a better consistency between satellite and ground-based datasets.