scholarly journals STATISTICAL ANALYSIS OF WATER POLLUTION IN ROSTOV REGION

2019 ◽  
pp. 69-79
Author(s):  
N.V. Cheremisina ◽  
◽  
T.N. Cheremisina ◽  
A.A. Denisov ◽  
◽  
...  
Keyword(s):  
Water Pollution ◽  
Statistical Analysis ◽  
Rostov Region

Cotton Dyeing with Vat Dyes using Alkaline Pectinase and Iron (II) Salt

2020 ◽  
Vol 7 (1) ◽  
pp. 10-20
Author(s):  
Veeresh MudnoorC ◽  
J.N. Chakraborty
Keyword(s):  
Water Pollution ◽  
Statistical Analysis ◽  
Sulfur Compounds ◽  
Alternative Formulation ◽  
Vat Dyes ◽  
Box Behnken Design ◽  
Optimum Parameters ◽  
Sodium Hydrosulfite ◽  
Analysis Of Performance ◽  
Cotton Dyeing

Use of sodium hydrosulfite in the dyeing of cotton with vat dyes is criticized for generation of sulfur compounds leading to air and water pollution. In this study, attempts were made to dye cotton with alkaline pectinase along with iron (II) salt as an alternative formulation. A 43 Box-Behnken design was used for statistical analysis of performance for this new reducing system and to obtain optimum parameters for cotton dyeing. The results showed that alkaline pectinase along with iron (II) salt was quite effective in developing comparable dyebath potential, dye receptivity on cotton with comparable dye strength, and colorfastness, as compared to the hydrosulfite-based reducing system. Dyebath stability in presence and absence of dye also showed superior results compared to that of the hydrosulfite system.

scholarly journals Determination of Changes in the Quality of Surface Water in the River—Reservoir System

2021 ◽  
Vol 13 (6) ◽  
pp. 3457
Author(s):  
Łukasz Gruss ◽  
Mirosław Wiatkowski ◽  
Krzysztof Pulikowski ◽  
Andrzej Kłos
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Statistical Analysis ◽  
Surface Water ◽  
Multivariate Statistical Analysis ◽  
Quality Data ◽  
Multivariate Statistical ◽  
Reservoir System ◽  
River Reservoir ◽  
Quality Profile

Assessing the changing parameters of water quality at different points in the river–reservoir system can help prevent river pollution and implement remedial policies. It is also crucial in modeling water resources. Multivariate statistical analysis is useful for the analysis of changes in surface water quality. It helps to identify indicators that may be responsible for the eutrophication process of a reservoir. Additionally, the analysis of the water quality profile and the water quality index (WQI) is useful in assessing water pollution. These tools can support and verify the results of a multivariate statistical analysis. In this study, changes in water quality parameters of the Turawa reservoir (TR), and the Mała Panew river at the point below the Turawa reservoir (bTR) and above the Turawa reservoir (aTR), were analyzed. The analyzed period was from 2019 to 2020 (360 samples were analyzed). It was found that TN, NO2-N, and NO3-N decreased after passing through the Turawa reservoir. Nevertheless, principal component analysis (PCA) and redundancy analysis (RDA) showed that NO2-N and NO3-N contribute to the observed variability of the water quality in the river-reservoir system. PCA showed that pH and PO4-P had a lower impact on the water quality in the reservoir than nitrogen compounds. Additionally, RDA proved that the values of the NO3-N and NO2-N indicators obtained the highest values at the aTR point, PO4-P at the bTR, and pH at the TR. This allows the conclusion that the Turawa reservoir reduced the concentration of NO2-N and NO3-N in comparison with the concentration of these compounds flowing into the reservoir. PCA and RDA showed that both parameters (NO2-N and NO3-N) may be responsible for the eutrophication process of the Turawa reservoir. The analysis of short-term changes in water quality data may reveal additional sources of water pollution. High temperatures and alkaline reaction may cause the release of nitrogen and phosphorus compounds from sediments, which indicates an increased concentration of TP, PO4-P, and Norg in the waters at the TR point, and TP, PO4-P, and NH4-N concentrations at the bTR point. The water quality profile combined with PCA and RDA allows more effective monitoring for the needs of water management in the reservoir catchment area. The analyzed WQI for water below the reservoir (bTR) was lower than that of the reservoir water (TR), which indicates an improvement in water after passing through the reservoir.

scholarly journals STATISTICAL ANALYSIS OF DEMOGRAPHIC INDICATORS OF THE ROSTOV REGION

2021 ◽  
Vol 2021 (1) ◽  
pp. 16-20
Author(s):  
Vera Shumilina ◽  
Anatoliy Kolesnikov ◽  
Aleksandra Lukiyanova
Keyword(s):  
Sustainable Development ◽  
Statistical Analysis ◽  
The State ◽  
Russian Regions ◽  
The Sustainable Development ◽  
Demographic Indicators ◽  
Rostov Region ◽  
Demographic Processes ◽  
Integral Indicator

The prospects for the sustainable development of Russia in general and the Russian regions in particular are directly or indirectly related to demographic processes. The demographic state of the territories is an integral indicator of all spheres of life, and the level of demographic security reflects the state of stability of the territory to various adverse factors. The purpose of the study is to analyze the state of demographic processes and the level of demographic security as the basis for sustainable development of the Rostov region.

scholarly journals STATISTICAL ANALYSIS OF OCCUPATIONAL TRAUMATISM AT ONE OF THE ENTERPRISES OF MACHINE BUILDING IN THE ROSTOV REGION

2018 ◽  
Vol 1-2 ◽  
pp. 21-31
Author(s):  
B. CH. Meskhi ◽  
◽  
I. A. Zanina ◽  
M. D. Molev ◽  
M. S. Pleshko ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Machine Building ◽  
Rostov Region

scholarly journals STATISTICAL ANALYSIS OF THE INNOVATIVE ACTIVITY OF THE ROSTOV REGION

2018 ◽  
Author(s):  
Мария Цвиль ◽  
Mariya Tsvil ◽  
Влада Полуян ◽  
Vlada Poluyan
Keyword(s):  
Economic Policy ◽  
Economic Development ◽  
Statistical Analysis ◽  
Innovative Activity ◽  
Innovation Activity ◽  
Innovative Development ◽  
Rostov Region ◽  
The City

The innovative direction of the economic policy of the Rostov region determines the prospects for economic development of this region. In the formation of the innovative component of the Don region, the city of Rostov-on-Don occupies the main position on a number of key parameters for assessing innovation activity. This includes more than a third of innovative and active organizations of the region, which produce over forty percent of innovative good shipped organizations of the region in 2016. The article is devoted to the study of the dynamics of the main indicators of innovative development of the region.

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

Sign in / Sign up

Export Citation Format

Share Document