Ship Type Recognition Based on Ship Navigating Trajectory and Convolutional Neural Network

With the aim to solve the problem of missing or tampering of ship type information in AIS information, in this paper, a novel ship type recognition scheme based on ship navigating trajectory and convolutional neural network (CNN) is proposed. Firstly, according to speed and acceleration of the ship, three ship navigating situations, i.e., static, normal navigation and maneuvering, are integrated into the process of trajectory images generation in the form of pixels. Then, three kinds of modular network structures with different depths are trained and optimized to determine the appropriate convolutional neural network structure. In the validation phase of the model, a large amount of verified data with a time span of one month was used, covering a variety of water conditions including open water, ports, rivers and lakes. Following this approach, a kind of CNN scheme which can be directly used to identify ship types in a wide range of waters is proposed. This scheme can be used to judge the ship type when the static information is completely missing and to test the data when the ship type information is partially missing.

Water as a thermodynamic parameter of biosphere evolution

Water has a profound influence on the evolution of the biosphere and can be regarded as a thermodynamic parameter. The priorities and objectives in this research include determining the hydrological features of rivers and lakes in the region as indicators of the thermodynamic activity of water in the evolutionary processes; hydrology and ecology of the cryptobiosphere; the effects of water on the evolutionary adaptations and strategies in living organisms in biogeochemical systems of different origins; and the hydrology of possible alternative stable states of biogeochemical systems.

A baseline study on diversity of birds in Sani Bheri River Valley, Nepal

Rivers and lakes are important habitats for both resident and migratory wetland-dependent birds. This paper presents the study of birds’ seasonal diversity in Sani Bheri River Valley, outside the protected areas of Nepal. The study was carried out from 8-17 March 2019 (Spring) and 12-21 October (Autumn) 2019 covering a 52 km river stretch from Naighat (upstream area where Pelma River and Uttarganga River mix and flow as Sani Bheri river) to Remnaghat (downstream towards the confluence with Thuli Bheri) using the Mackinnon Listing method. The present study recorded 851 occurrences belonging to 11 Orders, 33 Families, and 71 bird species. Order Passeriformes (52 species) and family Muscicapidae (13 species) were dominant. Plumbeous Water-redstart (Phoenicurus fuliginosus) had the highest relative abundance (7.64%). Shannon-Weiner diversity index (H’= 3.61) and Evenness index (e= 0.85) indicate the diverse assemblage of avian fauna in the study area. This study showed that Sani Bheri River Valley provides the habitat for one globally threatened, four nationally threatened, and eight species listed in Appendix-II of CITES. The results provide the baseline information on avian species, which can provide a good database and can be incorporated in conservation implications.

photonic cloning of seas and oceans

When studying the water reality and calculating the increase in the quantities of water per year, we find that there is another way to increase the percentage of water, and that is through optical reproduction. For a detailed explanation of the location of water on Earth, see the map and the data table shown below. Note that the world’s add up to water supply is almost 1.387 million cubic kilometers (332.6 cubic miles) of wate, of which more than 96% is salt water. As for fresh water, more than 96% are trapped by rivers and glaciers, and 30% are on the ground. As for the freshwater resources represented in rivers and lakes, they constitute about 93,100 cubic kilometers (22,300 cubic miles), which is about 1/150 of 1% of the total water. Rivers and lakes still make up most of the water sources that people use daily. The amount of water stored in the oceans for long periods is much more than that which moves through the water cycle. The total water supply worldwide is 1,386,000,000 cubic kilometers (321,000,000 cubic miles), of which 1,338,0, 000 cubic kilometers (332,500,000 cubic miles) are stored in the oceans at a rate of 95%, as the oceans give almost 90% of the water. Dissipated that goes to the water cycle. The photonic cloning resulting by the sun contributes to the consistency of water level. Indeed, the consistency of ocean water depends not only on the natural cycle of evaporation process of those waters to return to the oceans again, but also on the photonic cloning resulting by the sun, as experiment has vividly shown.

Contamination level of Bisphenol A in surface waterfrom urban rivers and lakes of Hanoi city

Bisphenol A (BPA) is a precursor chemical to produce polycarbonate plastics and epoxy resins that have been widely used in the world with many essential daily applications. BPA is considered one of the endocrine-disrupting chemicals in animals, which causes harmful effects on health. Besides, BPA originates from resins and consumer products after use has been released into the environment. To assess the contamination level of BPA in surface water, this study collected and analysed water samples from rivers and lakes in the centre of Hanoi. The average concentration of BPA in 45 surface water samples was 76.8 ng/l (6.6-284 ng/l). The highest concentration of BPA was found at the surrounding area of the wastewater treatment plant in Yen So (177 ng/l), followed by the Yen So lake (86.9 ng/l), To Lich and Nhue rivers (~80 ng/l), Lu, Set, Kim Nguu rivers (~60 ng/l) and the lowest level in West Lake (20.1 ng/l). The BPA levels in surface water were much lower than the predicted no-effect concentration (PNEC) which is used to assess the environmental risk to protect the aquatic organism from the European Union.

Dimensions of the 2020 wildfire catastrophe in the Pantanal wetland: the case of the municipality of Poconé, Mato Grosso, Brazil

In 2020, a total of 3.9 million hectares were burned in the Pantanal biome, which represents approximately 30% of its total area. Of the three existing biomes in the state of Mato Grosso, the Pantanal was the most impacted and, among all the municipalities in Mato Grosso, Poconé had the largest burned area. We aimed to characterize the areas affected by fires in the municipality of Poconé in 2020 to support prevention and adaptation actions in future scenarios. For this, we used the mapping of areas affected by fires made from the detections of active fire collected by the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor and available by the Global Fire Emissions Database (GFED). The results showed that a total of 869,170 hectares were burned in Poconé in 2020. Of this total, 97.3% were in natural areas, viz. forest formations (37%), savanna (2.8%), grassland formations (23.4%), wetlands (29.7%), and vegetation in dried-up rivers and lakes (4.4%). Concerning land categories, almost half of the fires occurred in private rural properties registered in the Rural Environmental Registry (CAR). In this scenario, we highlighted the importance of monitoring fires and holding those responsible for them accountable. It is also important to implement preventive actions in synergy with managers and local communities as a way of adapting to the climate crisis, intense drought, and less water surface available in the region, which increases the risk and damage of fires.

Pectobacterium quasiaquaticum sp. nov., isolated from waterways

Through this study, we established the taxonomic status of seven strains belonging to the genus Pectobacterium (A477-S1-J17T, A398-S21-F17, A535-S3-A17, A411-S4-F17, A113-S21-F16, FL63-S17 and FL60-S17) collected from four different river streams and an artificial lake in south-east France between 2016 and 2017. Ecological surveys in rivers and lakes pointed out different repartition of strains belonging to this clade compared to the closest species, Pectobacterium aquaticum . The main phenotypic difference observed between these strains and the P. aquaticum type strain was strongly impaired growth with rhamnose as the sole carbon source. This correlates with three different forms of pseudogenization of the l-rhamnose/proton symporter gene rhaT in the genomes of strains belonging to this clade. Phylogenetic analysis using gapA gene sequences and multi locus sequence analysis of the core genome showed that these strains formed a distinct clade within the genus Pectobacterium closely related to P. aquaticum. Digital DNA–DNA hybridization (dDDH) and average nucleotide identity (ANI) values showed a clear discontinuity between the new clade and P. aquaticum . However, the calculated values are potentially consistent with either splitting or merging of this new clade with P. aquaticum . In support of the split, ANI coverages were higher within this new clade than between this new clade and P. aquaticum . The split is also consistent with the range of observed ANI or dDDH values that currently separate several accepted species within the genus Pectobacterium . On the basis of these data,strains A477-S1-J17T, A398-S21-F17, A535-S3-A17, A411-S4-F17, A113-S21-F16, FL63-S17 and FL60-S17 represent a novel species of the genus Pectobacterium , for which the name Pectobacterium quasiaquaticum sp. nov. is proposed. The type strain is A477-S1-J17T (=CFBP 8805T=LMG 32181T).

The number of juvenile fish and fish productivity of water bodies of the Ob River basin (Western Siberia): review

The article presents an overview of published materials for the period 1963-2020, containing information on the number of larvae and juveniles of fish in different types of water bodies of the Ob River basin (Western Siberia). Data on the fish productivity of rivers and lakes of the Ob basin for steppe, forest-steppe, taiga and tundra natural zones are presented. The Ob River is the main waterway of Western Siberia. The area of the Ob River basin is 2929,000 km2, the length of the river is 3680 km. The existing pronounced differences in the nature of the relief, climate, soils, waters, vegetation of the natural zones of the Ob basin determine the features of the hydrological regime and the living conditions of hydrobionts. Accordingly, the floodplain of the Ob river with its numerous backwaters, kuryami, lakes, sorami is the main places of spawning and feeding of fish. In the course of generalization of the published materials, information was obtained on the number and features of the distribution of juvenile fish in different types of water bodies (channel pits, floodplain lakes, old trees, sores) of the Ob River basin. The results of studies on determining the fish productivity of rivers and lakes of the Ob basin of steppe, forest-steppe, taiga and tundra natural zones are analyzed.

Analysis and Stabilization of Dredged Material Using Marble Dust for Its Potential Use in Sub-Grade

This research paper deals about the experimental study on the stabilization of dredged material for its potential use in sub-grade. Large amounts of sediments are dredged from rivers and lakes as a result of environmental dredging in India. These dredged materials have poor geotechnical properties and are treated as wastes, On the other hand, there is a huge demand of sub-grade materials due to the increasing number of highway construction projects, so therefore it forms the significant topic for research. The stabilization of dredged material by marble dust is considered as an environmentally friendly option and economical because both marble dust and dredged material are waste products. Marble dust is formed by the cutting and polishing of marble stone. Marble dust contains high amount of calcium, silica, alumina which aids in the stabilization of the dredged material. Thus, the use of DM as sub-grade material may be considered as an environmentally friendly and economical option. Keywords: Dredged material, stabilization, environmental dredging, Subgrade etc

Development of a coupled simulation framework representing the lake and river continuum of mass and energy (TCHOIR v1.0)

Terrestrial surface water temperature is a key variable affecting water quality and energy balance, and thermodynamics and fluid dynamics are tightly coupled in fluvial and lacustrine systems. Streamflow generally plays a role in the horizontal redistribution of heat, and thermal exchange in lakes predominantly occurs in a vertical direction. However, numerical models simulate the water temperature for uncoupled rivers and lakes, and the linkages between them on a global scale remain unclear. In this study, we proposed an integrated modeling framework: Tightly Coupled framework for Hydrology of Open water Interactions in River–lake network (TCHOIR, read as “tee quire”). The objective is to simulate terrestrial fluvial and thermodynamics as a continuum of mass and energy in solid and liquid phases redistributed among rivers and lakes. TCHOIR uses high-resolution geographical information harmonized over fluvial and lacustrine networks. The results have been validated through comparison with in situ observations and satellite-based data products, and the model sensitivity has been tested with multiple meteorological forcing datasets. It was observed that the “coupled” mode outperformed the “river-only” mode in terms of discharge and temperature downstream of lakes; moreover, it was observed that seasonal and interannual variation in lake water levels and temperature are also more reliable in the “coupled” mode. The inclusion of lakes in the coupled model resulted in an increase in river temperatures during winter at midlatitudes and a decrease in temperatures during summer at high latitudes, which reflects the role of lakes as a form of large heat storage. The river–lake coupling framework presented herein provides a basis for further elucidating the role of terrestrial surface water in Earth's energy cycle.