Assessment of Water Quality Using Multivariate Analysis—A Case Study on the Brahmaputra River, Assam, India

2019 ◽  
pp. 179-194
Author(s):  
Pallavi Das ◽  
Manish Kumar
Keyword(s):  
Water Quality ◽  
Multivariate Analysis ◽  
Brahmaputra River

scholarly journals Assessment of water quality index: a case study in Old Brahmaputra river of Mymensingh District in Bangladesh

2016 ◽  
Vol 27 (3) ◽  
pp. 355-361 ◽  
Author(s):  
Z Muyen ◽  
M Rashedujjaman ◽  
MS Rahman
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Oxygen Demand ◽  
Quality Parameters ◽  
Chemical Parameters ◽  
Brahmaputra River ◽  
Physico Chemical

This study was conducted to measure the water quality parameters of old Brahmaputra River in Mymensingh district near Bangladesh Agricultural University to determine the water quality index (WQI) of the River Brahmaputra. Water quality focuses on various aspects of the physico-chemical parameters by which the quality of the water body can easily be elucidated. Three different locations were selected within the study area. Water samples were collected in April 2015 from these three locations along the river and analyzed for these physico-chemical parameters: pH, Dissolve Oxygen (DO), Biological Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Ammoniacal Nitrate (AN), Suspended Solids (SS). The values of these parameters were used to calculate the WQI based on the equation derived by the Department of Environment (DoE) Malaysia. The WQI was found to be 57.58, which falls in the class IV category and means that the water is “very polluted” and as of April 2015, this water is not suitable for public water supply, not suitable for recreational purpose, has limited potential for aquaculture but is suitable for irrigation.Progressive Agriculture 27 (3): 355-361, 2016

Surface Water Quality Assessment. Case Study: Târnava Mare River, Mediaș Town-Romania

2011 ◽  
Vol 4 (5) ◽  
pp. 70-72
Author(s):  
Cristina Roşu ◽  
◽  
Ioana Piştea ◽  
Carmen Roba ◽  
Mihaela Mihu ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Quality Assessment ◽  
Surface Water Quality ◽  
Water Quality Assessment

The impact of business tourism clustering on the regional economy's development: A Greater Moscow case study

2020 ◽  
Vol 18 (7) ◽  
pp. 1397-1414
Author(s):  
K.S. Golondarev
Keyword(s):  
Multivariate Analysis ◽  
The State ◽  
Investment Climate ◽  
Private Investors ◽  
The Impact

Subject. This article explores the issues of business tourism clustering in Greater Moscow. Objectives. The article intends to justify the need to create a business tourism cluster in Greater Moscow to improve the investment climate in the region. Methods. For the study, I used a multivariate analysis, forecasting, and extrapolation. Results. The article shows a certain relationship between the efficient functioning of the business tourism cluster and the economy's development. Conclusions and Relevance. Certain types of tourist clusters can serve as platforms for attracting investors and implementing marketing plans. The business tourism cluster is a link between buyers and sellers in various industries. The results of the study can be used to improve the effectiveness of the cluster initiative in business tourism, as well as find ways of cooperation between the State and private investors when creating the business tourism cluster in Greater Moscow.

IMPACT OF INDUSTRIAL EFFLUENTS ON GROUND WATER QUALITY- A CASE STUDY OF GUJRANWALA, PAKISTAN

2018 ◽  
Vol 2 (1) ◽  
pp. 18-20 ◽  
Author(s):  
Muhammad Usman ◽  
Mian Bilal Khalid ◽  
Hafsa Yasin ◽  
Abdul Nasir, ◽  
Ch Arslan
Keyword(s):  
Water Quality ◽  
Ground Water ◽  
Industrial Effluents ◽  
Ground Water Quality

Algorithm of combining chromatography mass spectrometry-untargeted profiling and multivariate analysis for identification of marker-substances in samples of complex composition

2020 ◽  
Vol 86 (7) ◽  
pp. 12-19
Author(s):  
I. V. Plyushchenko ◽  
D. G. Shakhmatov ◽  
I. A. Rodin
Keyword(s):  
Mass Spectrometry ◽  
Multivariate Analysis ◽  
Large Scale ◽  
Complex Composition ◽  
Unified Protocol ◽  
Chromatography Mass Spectrometry ◽  
Marker Substances ◽  
Selection Testing ◽  
Untargeted Profiling

A viral development of statistical data processing, computing capabilities, chromatography-mass spectrometry, and omics technologies (technologies based on the achievements of genomics, transcriptomics, proteomics, metabolomics) in recent decades has not led to formation of a unified protocol for untargeted profiling. Systematic errors reduce the reproducibility and reliability of the obtained results, and at the same time hinder consolidation and analysis of data gained in large-scale multi-day experiments. We propose an algorithm for conducting omics profiling to identify potential markers in the samples of complex composition and present the case study of urine samples obtained from different clinical groups of patients. Profiling was carried out by the method of liquid chromatography mass spectrometry. The markers were selected using methods of multivariate analysis including machine learning and feature selection. Testing of the approach was performed using an independent dataset by clustering and projection on principal components.

STABILIZING EFFECT OF WWTP DISCHARGE ON WATER QUALITY AND FISH ASSEMBLAGE STRUCTURE. A CASE STUDY

2016 ◽  
Vol 15 (7) ◽  
pp. 1561-1570 ◽  
Author(s):  
Peter Takacs ◽  
Edina Balogh ◽  
Tibor Eros ◽  
Sandor Alex Nagy
Keyword(s):  
Water Quality ◽  
Fish Assemblage ◽  
Assemblage Structure ◽  
Fish Assemblage Structure ◽  
Stabilizing Effect

Establishment of Method for Identification of Water Quality in Fire-Tube Boiler - A Case Study for UTHM Biodiesel Plant's Boiler

2019 ◽  
Vol 11 (5) ◽  
Author(s):  
Kamal N. M. A. N. M. ◽  
◽  
Nasir N. F. ◽  
Abdul Patar M. A. ◽  
Seis M. F. ◽  
...  
Keyword(s):  
Water Quality ◽  
In Fire
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