Evaluation and Quantification of Pollution Caused by Open Drains in Ganges River Basin Using Multivariate Cluster Analysis

2020 ◽  
Vol 17 (1) ◽  
pp. 75-82
Author(s):  
R. Srinivas ◽  
Ajit Pratap Singh ◽  
Varun Jain ◽  
Ramneek Singh Bhamra ◽  
Prateek Sharma
Keyword(s):  
Cluster Analysis ◽  
River Basin ◽  
Ganges River ◽  
Multivariate Cluster Analysis ◽  
Multivariate Cluster ◽  
Ganges River Basin

scholarly journals Assessing the Pollution Level in the Kuban River Basin by Multivariate Cluster Analysis

2020 ◽  
Vol 17 (4) ◽  
pp. 73-80 ◽  
Author(s):  
Vera Snezhko ◽  
Dmitrii Benin ◽  
Artem Lukyanets ◽  
Larisa Kondratenko
Keyword(s):  
Cluster Analysis ◽  
River Basin ◽  
Ecological Status ◽  
Chemical System ◽  
Pollution Level ◽  
Multivariate Cluster Analysis ◽  
Water Chemical Composition ◽  
Aluminium Copper ◽  
Kuban River ◽  
Multivariate Cluster

Considering features of hydrological conditions for hydro-chemical system, this paper analyses the performance of the hydro-ecological status of the Kuban river basin.. The results of the study on water chemical composition depending on the distance from the source are presented. By comparing the results with the reference values of water quality, increased aluminium, zinc, and copper content was established. Respective dendrograms of hydro-ecological studies obtained according to performed analysis for the Kuban River and its tributaries are presented. The relevance of the findings received is p<0.0005 and the correlation coefficient corresponds to 0.935...1. The results of multivariate cluster analysis showed that the Kuban basin has an increased content of particular heavy metals such as aluminium, copper, and zinc.

INCOSE Practitioners Challenge 2019: Clean Water and Sanitation in the Ganges River Basin

Insight ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 28-33 ◽  
Author(s):  
Omar El‐Haloush ◽  
Stephen Powley ◽  
Yash Kaushik ◽  
David Flanigan ◽  
Joseph Sitomer
Keyword(s):  
River Basin ◽  
Clean Water ◽  
Ganges River ◽  
Water And Sanitation ◽  
The Ganges ◽  
Ganges River Basin

The Application of Mathematical Statistics in Urban Geography Research

2014 ◽  
Vol 919-921 ◽  
pp. 1630-1633
Author(s):  
Xiu Feng Ma
Keyword(s):  
Cluster Analysis ◽  
Regression Analysis ◽  
20Th Century ◽  
Statistical Methods ◽  
Urban Geography ◽  
Mathematical Statistics ◽  
Multivariate Cluster Analysis ◽  
Important Position ◽  
Multivariate Cluster

In the middle of the 20th century, geography has experienced a number "revolution". statistical occupies more and more important position in the urban geography research. This paper analyzes the application of statistics in the development of the urban geography. And with the method of case study, illustrates the multivariate cluster analysis, regression analysis and other statistical methods in the study of urban geography specific applications

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