scholarly journals Modelling glaciers’ melting in Central Caucasus (the Djankuat and Bashkara Glacier case study)

2020 ◽  
Vol 163 ◽  
pp. 01002 ◽  
Author(s):  
Egor Belozerov ◽  
Ekaterina Rets ◽  
Dmitry Petrakov ◽  
Viktor Popovnin
Keyword(s):  
River Flow ◽  
Ice Melting ◽  
Mountain Rivers ◽  
Summer Period ◽  
The Caucasus ◽  
Average Value ◽  
Central Caucasus ◽  
Gradual Accumulation ◽  
Snow And Ice

The A-melt model was applied to assess the contribution snow and ice melting to river flow during the summer period of 2017 for the Bashkara and Djankuat glaciers located in the Caucasus. During the study period, the Djankuat river runoff amounted to 120 thousand m3, while the peak value of snow and ice melting was 300-400 thousand m3 per day, and on average 189 thousand m3. The significant influence of groundwater on the river flow is traced. The melt water contribution to the glacial lake Bashkara outburst manifested in the gradual accumulation of water large volumes over the summer period. The melting of snow and ice the day before the lake outburst reached 31 thousand m3, with an average value of 192 thousand m3 for the Bashkara basin. The total melting volume of the Djankuat basin was 0.016 km3, and of the Bashkara basin – 0.017 km3. As a result, the A-Melt model demonstrates the evaluation ability of glaciers’ impact on mountain rivers runoff.

Results of monitoring ice collapses using aerospace and ground-based information

2020 ◽  
Vol 20 (3) ◽  
pp. 60-68
Author(s):  
M.D. Dokukin ◽  
◽  
M.Yu. Bekkiev ◽  
Kh.M. Kalov ◽  
R.Kh. Kalov ◽  
...  
Keyword(s):  
Satellite Images ◽  
Swiss Alps ◽  
Summer Period ◽  
The Caucasus ◽  
Central Caucasus

Data on ice collapses in the Caucasus and Alps mountains obtained as a result of deciphering multitime satellite images are presented: ice collapses of hanging glaciers, end parts of glaciers, sections of glaciers on steep steps of the indigenous relief, sections of icefalls. The activity of ice collapses in the summer period was revealed. The range of the release of ice blocks of the Trift glacier in the Swiss Alps in 2017 reached 1050 m. Ice collapses were observed in the areas of icefalls on the Irik, Terskol, and Garabashi glaciers (on the slopes of Elbrus) with a range of up to 330 m. The most active were the ice-stone collapses of hanging glaciers and underlying bedrock in the Kolka glacier cirque in 2002 and 2003 and the ice collapses of the advancing glacier on the Kazbek slope in 2015-2019. Annual ice collapses from the Bezengi wall (Central Caucasus) are noted.

To the moss flora of the highlands of the Northern Elbrus region (Central Caucasus)

2013 ◽  
Vol 47 ◽  
pp. 310-317 ◽  
Author(s):  
G. Ya. Doroshina
Keyword(s):  
New Species ◽  
Rare Species ◽  
The Caucasus ◽  
Central Caucasus ◽  
First Time

The list of 89 taxa of mosses from the northern slopes of Elbrus Mount is provided. New species for the region and rare species for the Caucasus are marked. Conostomum tetragonum (Hedw.) Lindb. was collected in the Caucasus for the first time.

scholarly journals Deep Learning Based Instance Segmentation of Titanium Dioxide Particles in the Form of Agglomerates in Scanning Electron Microscopy

Nanomaterials ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 968
Author(s):  
Paul Monchot ◽  
Loïc Coquelin ◽  
Khaled Guerroudj ◽  
Nicolas Feltin ◽  
Alexandra Delvallée ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Titanium Dioxide ◽  
Learning Community ◽  
Spherical Particles ◽  
Average Value ◽  
Size Characterization ◽  
Scanning Electron

The size characterization of particles present in the form of agglomerates in images measured by scanning electron microscopy (SEM) requires a powerful image segmentation tool in order to properly define the boundaries of each particle. In this work, we propose to use an algorithm from the deep statistical learning community, the Mask-RCNN, coupled with transfer learning to overcome the problem of generalization of the commonly used image processing methods such as watershed or active contour. Indeed, the adjustment of the parameters of these algorithms is almost systematically necessary and slows down the automation of the processing chain. The Mask-RCNN is adapted here to the case study and we present results obtained on titanium dioxide samples (non-spherical particles) with a level of performance evaluated by different metrics such as the DICE coefficient, which reaches an average value of 0.95 on the test images.

scholarly journals Relationships of Hydrological Seasons in Rivers and Groundwaters in Selected Catchments in Poland

Water ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 250
Author(s):  
Przemysław Tomalski ◽  
Edmund Tomaszewski ◽  
Dariusz Wrzesiński ◽  
Leszek Sobkowiak
Keyword(s):  
River Flow ◽  
Geographical Location ◽  
Base Flow ◽  
Water Shortages ◽  
Groundwater Levels ◽  
Average Value ◽  
Geographical Regions ◽  
New Variables ◽  
Mixed Types

The study applied the method of hydrological season identification in a time series of river total and base flows and in groundwater levels. The analysis covered a series of daily measurements from the period 2008–2017 in nine catchments located in different geographical regions of Poland. The basis of the classification of hydrological seasons, previously applied for river discharges only, was the transformation of the original variables into a series reflecting three statistical features estimated for single-name days of a year from a multiyear: average value, variation coefficient, and autocorrelation coefficient. New variables were standardized and after hierarchical clustering, every day of a year had a defined type, valorizing three features which refer to quantity, variability, and the stochastic nature of total and base river flow as well as groundwater stage. Finally, sequences of days were grouped into basic (homogenous) seasons of different types and transitional seasons including mixed types of days. Analysis indicated determinants of types, length, and frequency of identified hydrological seasons especially related to river regime, hydrogeological and hydrometeorological conditions as well as physiographical background were directly influenced by geographical location. Analysis of the co-occurrence of the same types of hydrological seasons allowed, in some catchments, periods of synchronic alimentation (groundwater and base flow, mainly in the cold half-year) and water shortages (all three components, mainly in the warm half-year) to be identified.

Integrated river flow modelling: A case study

2012 ◽  
Vol 9 (4) ◽  
pp. 259-276 ◽  
Author(s):  
N.T. Lan-Anh ◽  
J. Boxall ◽  
A. Saul ◽  
P. Willems
Keyword(s):  
River Flow ◽  
Flow Modelling

A comparison between neural-network forecasting techniques-case study: river flow forecasting

1999 ◽  
Vol 10 (2) ◽  
pp. 402-409 ◽  
Author(s):  
A.F. Atiya ◽  
S.M. El-Shoura ◽  
S.I. Shaheen ◽  
M.S. El-Sherif
Keyword(s):  
Neural Network ◽  
River Flow ◽  
River Flow Forecasting ◽  
Forecasting Techniques

scholarly journals PENERAPAN PBL MELALUI PEMBUATAN TAMAN RUMPUT PADA MATERI LINGKARAN DI KELAS VIII

2019 ◽  
Vol 2 (1) ◽  
pp. 1-11
Author(s):  
Dian Septa Novari ◽  
Indah Widyaningrum ◽  
Widiawati W.
Keyword(s):  
Student Learning ◽  
Learning Outcomes ◽  
Experimental Research ◽  
Student Learning Outcomes ◽  
Average Value ◽  
Class Viii ◽  
The Creation ◽  
Pbl Model

This study aims to determine 1) the student's activity during the implementation of PBL models and 2) student learning outcomes after the implementation of PBL models through the creation of grass park on the material circle in class VIII SMP Negeri 1 Pagaralam. This research is an experimental research category one shot case study involving 32 students of class VIII SMP Negeri 1 Pagaralam. The results showed that the activity of students during the loading applied to the model PBL through grass park is categorized as very active seen from the activity of visual, verbal, listening, metrics, and writing. While student learning outcomes after the implementation of the PBL model through the creation of grass park are categorized very well as indicated by the average value of students. Thus, the PBL model is very suitable for use in mathematics, especially in the area of a circle of matter.

scholarly journals The economics the correlation issues in EU-28

2016 ◽  
Vol 5 (1-2) ◽  
pp. 77-82
Author(s):  
Yaser Mueeth A. Alkahtani ◽  
Zoltán László Szabó ◽  
Gan Quan
Keyword(s):  
Social Protection ◽  
Purchase Power Parity ◽  
Strong Correlations ◽  
Power Parity ◽  
Member States ◽  
Average Value ◽  
Bartlett’S Test ◽  
Statistical Program ◽  
The Eu

In this case study the analyses focus on the some correlation compares among EU-28 member states. Also the analyses focus on the wide side overview for the EU-28 member states using eight variances of three principal components for EU-28. The economic growing rate of EU-28 member states concerning some economic issues as GDP growing rate, employment, unemployment accompanying with social protection and government debt, price fluctuating, purchase power parity of consumers and also probably lifelong learning. The eight numbers according to each variance give the average value of KMO, which shows in the first line of T able T. KMO and Bartlett's Test, namely 0.628. In this case all of other variances expect RisPov2014 have strong correlations with themselves. The LLeam2014 has the strongest correlations by value of 0.767 (76%), also the GovDebt2014 has strong one, by 0.744 (74%), HICPan2014 has 0.731 (73%), the GDPcap2014 has value of 0.706 (70.6%). This SPSS statistical program can help to make clear overview for the correlations and differences among EU-28 member states from different issues and approaches, as variances. Also it is important, when the researchers choose these variances; they should know that the correlations among variances based on the principle components. These last one can select variances into different components, which mostly can explain the role and importance of each variance.

scholarly journals Investment Of Fixed Equipment Assets On Improving Profitability (case study cv.Parahyangan Express BranchKarawang)

2020 ◽  
Vol 17 (1) ◽  
pp. 30-42
Author(s):  
Sri Suartini ◽  
Dian Hakip Nurdiansyah ◽  
Sheli Rosdayanti
Keyword(s):  
Primary Data ◽  
Test Results ◽  
Fixed Asset ◽  
Financial Report ◽  
Verification Method ◽  
Average Value ◽  
Fixed Assets ◽  
Data Source ◽  
Fixed Asset Investment

The purpose of this study to determine how much influence of fixed asset investment vehicles against profitability CV. Parahyangan Express Karawang Branch. This research uses a descriptive verification method with a primary data source that is a financial report CV. Parahyangan Express Karawang Branch period 2007 to 2016. The result of this research is r average investment value CV. Parahyangan Express in the period 2007 until 2016 tends to decrease, the average value of profitability CV. Parahyang n Express in the period 2007 to 2016 tends to decline. Based on test results t comparison t arithmetic with t table showing 2.840> 2.093 t count more than t table. vehicle fixed asset investment has a significant effect on profitability in a CV. Parahyangan Express. The percentage of influence of fixed asset investment of 30% means 30 % development of profitability CV. Parahyangan Express is influenced by in-kind fixed assets while 70 % is influenced by other factors not examined in this study.

scholarly journals Estimation of long-term Ph changes in lakes of the Caucasus using a bioindication method based on diatomaceous analysis

2019 ◽  
Vol 46 (1) ◽  
pp. 51-57 ◽  
Author(s):  
L. V. Razumovskii ◽  
V. L. Razumovskii
Keyword(s):  
Sediment Cores ◽  
Western Caucasus ◽  
Small Lakes ◽  
The Caucasus ◽  
Ph Values ◽  
Long Term Changes ◽  
The Western Caucasus ◽  
Central Caucasus ◽  
Hydrological Parameter

To analyze processes that may lead to long-term changes in pH, lake sediments from five small lakes in the Western and Central Caucasus were studied according to diatomaceous complexes from sediment cores. A proprietary principle of hydrological parameter unification was used to reconstruct numerical pH values. In isotopic dating experiments, a series of numerical pH values for 2000–130 years were generated for the lakes. These data indicate an absence of noticeable changes in pH in the lakes of the Western Caucasus and alkalization processes in the lakes of the Central Caucasus.

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