scholarly journals ZOOINDICATION OF WATER BODIES WITHIN PETROLEUM INDUSTRIAL TERRITORIES OF THE BOLSHEZEMELSKAYA TUNDRA

2021 ◽  
pp. 83-92
Author(s):  
T. Shikhova ◽  
E. Scopin ◽  
R. Bolshakov
Keyword(s):  
Species Diversity ◽  
River Basin ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
The State ◽  
Water Bodies ◽  
Large Lakes ◽  
Quality Of Water ◽  
State Of Water

Intensive development of the oil and gas industry and accidents on oil pipelines become the reason of the environmental tension in the Pechora River basin (Nenets Autonomous District). Data on changes in water quality in five lakes and a small watercourse in the territory of oil fields of the Bolshezemelskaya tundra are presented. The bioindication indices (Berger-Parker (D), Shannon biodiversity (H '), Woodiwiss (W), Pantle-Buck (S), Balushkina (Kch)) were applied. The assessment of the state of water bodies in the Kolva River Basin (large lakes - Kolvaty and Nercheity), in the Laya River Basin (shallow lakes - Krugloye, Bezymyannoe 1, Bezymyannoe 2, stream) was done. The 28 samples of zoobenthos was processed by the standard method in July 2012 and 2019. A low diversity of benthic invertebrates was revealed for 5–20 taxa of the rank of families and orders. During the considered period, the changes have occurred in the structure and composition of the zoobenthos of water bodies. In 2019, the species diversity decreased in Kolvaty Lake (H'<2). There are no species of the crustacean complex (Monoporeia affinis, Mesocyclops leuckarti, Heterocope borealis) and larvae of Trichoptera. Only Sphaeriidae and Chironomidae with a predominance of Psectrocladius psilopterus (D = 55%) were recorded. The species diversity in Nercheity Lake increased (H'> 2) with a change in the dominant taxa: the larvae of the chironomids Ablabesmyia monilis (D = 44%) were found in 2012, the lower crustaceans (D = 47–51%) - in 2019. However, according to the totality of hydrobiological indicators, the quality of water in the lakes of the Kolva River Basin in 2019 compared to 2012 did not change significantly. The quality of water in the Krugloye and Bezymyannoe 1, Bezymyannoe 2 lakes (the Laya River Basin) has improved that is confirmed by a significant increase of species diversity. The most characteristic groups of benthic communities in these lakes are lower crustaceans (Cladocera, Copepoda, Ostracoda) and Chironomidae. The indicators of clean waters are o-β-mesosaprobic species Cladocera, Copepoda Heterocope appendiculata, Heterocope borealis (in the oligotrophic lakes), caddisfly Limnephilus stigma (in the Krugloe Lake), rotifer Polyarthra euryptera (in the Bezymyannoe 2 Lake), mayfly larvae Centroptilum luteolum. More resistant to organic pollution Copepoda began to prevail in abundance and diversity in Bezymyannoe 1 and Bezymyannoe 2 lakes, with a decrease in the taxonomic composition of Cladocera, which indicates the eutrophication of these water bodies. In most lakes, the water corresponds to the III quality class ("moderate pollution"), but in the Kolvaty lake and in the Bezymyanny stream (the Laya River basin) was recorded the biogenic pollution. Totally, insignificant taxonomic changes in zoobenthos structure took place in the lakes and the state of water bodies of the surveyed tundra remains relatively stable.

Determination of Relation between the Quaternary Sediments and Land Use Dissemination on the Basis of Šventoji River Basin

2017 ◽  
Author(s):  
Andrius Litvinaitis ◽  
Lina Bagdžiūnaitė-Litvinaitienė ◽  
Laurynas Šaučiūnas
Keyword(s):  
Land Use ◽  
River Basin ◽  
Water Bodies ◽  
Quaternary Sediments ◽  
Corine Land Cover ◽  
Quality Of Water ◽  
Management Plans ◽  
Subsurface Runoff

On preparing of the first management plans of River Basin Districts have been found that diffuse agricultural pol-lution is one of the most important causing factor and the most significant impact on the quality of water bodies. Diffuse agricultural pollution can be from 45% to 80% of nitrate nitrogen pollution load of water bodies. Pollution is transported by water surface and subsurface runoff through sediments from agricultural territories. This article aims at evaluating of relation between the Quaternary sediments and Land use dissemination. The lithological factor (sandy, loamy, argillaceous) of the basin was calculated based on Quaternary map of Lithuania M 1:200000 and Lithuanian river map M 1:50000. The land-use factor of the basin was calculated based on Corine Land cover M 1:100000 using ArcGis software. In order to carry out more thorough analysis of the determination of relation between the Quaternary sediments and Land use dissemination in given territories, sections of 0–50 m, 50–200 m, 200–500 m, 500–800 m, 800–1000 m and >1000 m were established, calculating the distance in meters from the riverbank.

Integrated analysis of the quality of water bodies from the lower Paraná River basin with different productive uses by physicochemical and biological indicators

2020 ◽  
Vol 263 ◽  
pp. 114434
Author(s):  
Julieta Peluso ◽  
Carolina M. Aronzon ◽  
María del Carmen Ríos de Molina ◽  
Dante E. Rojas ◽  
Diego Cristos ◽  
...  
Keyword(s):  
River Basin ◽  
Biological Indicators ◽  
Paraná River ◽  
Water Bodies ◽  
Integrated Analysis ◽  
Parana River ◽  
Quality Of Water ◽  
Paraná River Basin

Functional and technological specifics of indicators of the quality of professional education of future workers

2020 ◽  
pp. 83-96
Author(s):  
Taisiya Vladimirovna Danilova
Keyword(s):  
Professional Education ◽  
Oil And Gas ◽  
Objective Assessment ◽  
Oil And Gas Industry ◽  
The State ◽  
Professional Standards ◽  
Professional Standard ◽  
Gas Industry ◽  
Professional Activities

The article considers indicators of the quality of professional education of future workers in the oil and gas industry, the development of which is determined by the state of training. The need to study them for further specifcation is related to the fact that quality has a dynamic characteristic: its content is transformed in accordance with the needs of the state, society and specifc industries. Accordingly, the presence of indicators is the basis for an objective assessment of the quality of professional education, including future workers in the oil and gas industry. As a result of the analysis of scientifc literature, the author comes to the conclusion that there are four relevant aspects of indicators of the quality of professional education. The frst is their focus on educational results that are of priority importance in the employment of graduates. The second is characterized by the following specifcs: inclusion in the content of indicators of labor market requirements. The third aspect is characterized by the fact that in the process of developing indicators of the quality of professional education, it is necessary to take into account the specifcs of specifc professional activities, in particular, future workers in the oil and gas industry. The fourth aspect is the need for indicators to meet the requirements of regulatory documents regulating both educational and future professional activities of graduates: educational and professional standards. In this regard, the priorities of the educational organization that meet the requirements of educational or professional standards are determined. The main indicator of the quality of secondary vocational education is presented by the author in the indicators of achievement of competencies corresponding to the labor functions of the professional standard. The competence of the future oil and gas industry worker is characterized, in turn, as external and internal readiness to perform labor actions and operations. Methods for developing quality indicators are proposed: the frst combines the requirements of educational and professional standards, the second is based on the requirements of the professional standard.

scholarly journals Epilithic lichen cover in assessing the quality of the coastal water environment in Karelia

2021 ◽  
Vol 20 (1) ◽  
pp. 409-413
Author(s):  
A. V. Sonina
Keyword(s):  
Species Diversity ◽  
Coastal Water ◽  
Water Environment ◽  
The State ◽  
Lichen Species ◽  
Water Bodies ◽  
Phosphorus Compounds ◽  
Lake Ladoga ◽  
Lichen Cover

The paper summarizes the data obtained by analyzing the reaction of the coastal epilithic lichen cover tothe chemical parameters of water in reservoirs of different types and uses. The study was carried out on the shores of freshwater bodies (Lake Onega, Lake Ladoga, Lososinka, Suna rivers) with different anthropogenic pressures in the Republicof Karelia. At each place of study, the lichen cover was described at the survey sites (frame 10 x 20 cm) along the transectand water samples were taken for chemical analysis. The aim of the work is to identify indicators of the coastal epilithic lichen cover to indicate the quality of the aquatic environment and assess the state of coastal ecosystems. The lichen flora ofthe surveyed coasts of fresh water bodies has 53 species, the highest species diversity of lichens is characterized by placeswithout obvious sources of pollution – the Kivach reserve (29 species), the shores of Lake Ladoga (27 species) and the Botanical Garden of PetrSU (16 species), and in urban conditions ( Petrozavodsk), a large settlement (Yanishpole) and nearthe pulp and paper industry (Kondopoga), the number of lichen species is much lower (8, 5 and 4). Regression analysisshowed the dependence of the number of lichen species on the registration site on the concentration of phosphorus compounds in water (p < 0.05). A tendency to a decrease in species diversity and a decrease in the total coverage of lichens withan increase in nitrogenous compounds in water was noted. This made it possible to propose the epilithic lichen cover as anobject-indicator of the state of the coastal water environment under conditions of anthropogenic pollution of water bodies.

scholarly journals Conflito de uso do solo em Áreas de Preservação Permanente da Bacia Hidrográfica do rio Marapanim, nordeste do Pará

2021 ◽  
Vol 43 ◽  
pp. e20
Author(s):  
Ádanna De Souza Andrade ◽  
Suezilde Da Conceição Amaral Ribeiro ◽  
Bruno Wendell De Freitas Pereira ◽  
Paulo Eduardo Silva Bezerra ◽  
Valter Vinicius Pereira Brandão
Keyword(s):  
Land Use ◽  
Water Resources ◽  
River Basin ◽  
Public Policies ◽  
The State ◽  
Soil Class ◽  
Land Use Conflict ◽  
Quality Of Water ◽  
Water Courses

Permanent preservation areas contribute significantly to maintaining the quality of water resources and protecting against erosive events. In this sense, this work mains of is to analyze the land use conflict in the permanent preservation areas of the Marapanim River basin, located in the northeast of the State of Pará. To this end, it data were processed using images Landsat of the years of 1988, 1998, 2008 and 2017 to discuss changes in land use for each year. Afterwards, land use was overlapped with the Permanent Preservation Areas of the basin (PPA), to identify the types of use that are interfering in the limits that should be maintained as PPA. The results showed that in three of the four years of analysis, the exposed soil class was present in more than 20% of the inadequate land use in PPA, followed by the Farming class, which increased almost 300% the occupation in PPA in the first to last year of study. Thus, this study can support public policies in order to monitor the sources and margins of water courses for a better management of water resources in this region.

ABOUT NECESSITY OF MATHEMATICAL MODELING OF THE BUSINESS PROCESS OF COST ESTIMATE CALCULATIONS IN THE CONSTRUCTION OF OIL AND GAS FACILITIES

2017 ◽  
pp. 139-145
Author(s):  
R. I. Hamidullin ◽  
L. B. Senkevich
Keyword(s):  
Mathematical Modeling ◽  
Quality Assessment ◽  
Business Process ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
Construction Organizations ◽  
The Cost ◽  
Cost Of Construction

A study of the quality of the development of estimate documentation on the cost of construction at all stages of the implementation of large projects in the oil and gas industry is conducted. The main problems that arise in construction organizations are indicated. The analysis of the choice of the perfect methodology of mathematical modeling of the investigated business process for improving the activity of budget calculations, conducting quality assessment of estimates and criteria for automation of design estimates is performed.

Management and Status of Japanese Public Waters

1991 ◽  
Vol 23 (1-3) ◽  
pp. 1-10 ◽  
Author(s):  
Takeshi Goda
Keyword(s):  
Water Quality ◽  
Coastal Waters ◽  
Industrial Wastewater ◽  
Quality Standards ◽  
Water Bodies ◽  
Industrial Wastewaters ◽  
Quality Of Water ◽  
Japanese Rivers ◽  
Per Capita

The management and status of public water bodies in Japan is discussed. The environmental quality standards which have been set and the levels of compliance with these standards are shown. The water quality of Japanese rivers, lakes, reservoirs, wetlands and coastal waters is described, and eutrophication problems are mentioned. The effects of changes in population density and levels of recycling of industrial wastewaters on the quality of water bodies are discussed. Almost 75% of industrial wastewater is now recycled. Per capita availability of freshwater in Japan is comparatively low, and the construction of 530 dams, in addition to the 2393 dams already in operation, is planned. Irrigation effluents from paddy fields are a major factor which influences river water quality in Japan. The improvement of water quality using various methods is discussed.

EVALUATION OF THE ABSOLUTE RESULTS OF THE LEADING COMPANIES OF THE OIL AND GAS COMPLEX: PROBLEMS AND PROSPECTS

2021 ◽  
Vol 3 (11) ◽  
pp. 6-12
Author(s):  
Lyudmila V. Goloshchapova ◽  
◽  
Elena V. Maltseva ◽  
Keyword(s):  
Oil And Gas ◽  
Balance Sheet ◽  
Oil And Gas Industry ◽  
Financial Statements ◽  
The State ◽  
Gas Industry ◽  
Factors Affecting ◽  
Complex Problems ◽  
The Absolute ◽  
Statistical Indicators

The study is devoted to the analysis of the balance sheet profit of the leading companies in the oil and gas industry. The types of profits were considered, as well as the dynamics of the changes in indicators affecting their formation were analyzed. In addition, the article considers the composition and struc-ture of the balance sheet profit, factors affecting its size. Based on the financial statements of the companies, an idea of the state of profit in the companies «Rosneft», «Lukoil», «Gazprom» and «Tatneft» has been com-piled. The paper analyzes quantitative statistical indicators that reflect the results achieved from 2016–2020.

scholarly journals Deep Learning-Based Water Crystal Classification

2022 ◽  
Vol 12 (2) ◽  
pp. 825
Author(s):  
Hien Doan Thi ◽  
Frederic Andres ◽  
Long Tran Quoc ◽  
Hiro Emoto ◽  
Michiko Hayashi ◽  
...  
Keyword(s):  
Deep Learning ◽  
Water Resources ◽  
Past Research ◽  
Fine Tuning ◽  
Quality Of Water ◽  
Snow Crystal ◽  
State Of Water ◽  
First World ◽  
Small Dataset

Much of the earth’s surface is covered by water. As was pointed out in the 2020 edition of the World Water Development Report, climate change challenges the sustainability of global water resources, so it is important to monitor the quality of water to preserve sustainable water resources. Quality of water can be related to the structure of water crystal, the solid-state of water, so methods to understand water crystals can help to improve water quality. As a first step, a water crystal exploratory analysis has been initiated with the cooperation with the Emoto Peace Project (EPP). The 5K EPP dataset has been created as the first world-wide small dataset of water crystals. Our research focused on reducing the inherent limitations when fitting machine learning models to the 5K EPP dataset. One major result is the classification of water crystals and how to split our small dataset into several related groups. Using the 5K EPP dataset of human observations and past research on snow crystal classification, we created a simple set of visual labels to identify water crystal shapes, in 13 categories. A deep learning-based method has been used to automatically do the classification task with a subset of the label dataset. The classification achieved high accuracy when using a fine-tuning technique.

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