scholarly journals INTERDEPENDENCY BETWEEN PHYSICO-CHEMICAL PARAMETERS OF BHAVANI RIVER, TAMILNADU, INDIA USING MULTIVARIATE STATISTICAL ANALYSIS

2020 ◽  
Vol spl7 (1) ◽  
Author(s):  
Ramakrishnan K
Keyword(s):  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Chemical Parameters ◽  
Multivariate Statistical ◽  
Physico Chemical

Assessment of Heavy Metals Content in the Proximity of a Contaminated Site From Cluj-Napoca (Romania)

2020 ◽  
Vol 65 (2) ◽  
pp. 17-37
Author(s):  
Georgiana Grosu ◽  
◽  
Carmen Andreea Roba ◽  
Ramona Bălc ◽  
Maria Lucia Bizău-Cârstea ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Sediment Contamination ◽  
Contaminated Site ◽  
Pollution Indices ◽  
Chemical Parameters ◽  
Multivariate Statistical ◽  
Water And Sediment ◽  
Physico Chemical

The present study was conducted in the proximity of a contaminated site from Cluj-Napoca city (Cluj County, Romania), where metal processing activities have been carried out for decades. Metal content and physico-chemical parameters were analyzed in soil, water and sediment samples, while organic matter (OM) and total organic carbon (TOC) was additionally analyzed for the soil samples. The sources of heavy metals were evaluated based on multivariate statistical analysis, while the soil and sediment contamination degree was assessed based on specific pollution indices. The calculated indices indicated a significant pollution with Cd and Pb, which may represent a risk if the area would become a residential area. Keywords: heavy metals, contaminated site, soil pollution indices, multivariate statistical analysis, Cluj-Napoca

scholarly journals Seasonal distribution and population dynamics of limnic microalgae and their association with physico-chemical parameters of river Noyyal through multivariate statistical analysis

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Pandian Suresh Kumar ◽  
Jibu Thomas
Keyword(s):  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Sampling Site ◽  
Principal Component ◽  
Environmental Parameters ◽  
Diversity Indices ◽  
Population Diversity ◽  
Chemical Parameters ◽  
Multivariate Statistical ◽  
Physico Chemical

Abstract The present investigation embarks on understanding the relationship between microalgal species assemblages and their associated physico-chemical parameter dynamics of the catchment region of river Noyyal. Totally, 142 microalgae cultures belonging to 10 different families were isolated from five different sites during four seasons and relative percentage distribution showed that Scenedesmaceae (36.6%) and site S1 (26.4%) with predominant microalgae population. Diversity indices revealed that microalgae communities were characterized by high Hʹ index, lower Simpson dominance, and Margalef index value with indefinite patterns of annual variations. Results showed that variation in the physico-chemical parameters in each sampling site has its impact on the microalgae population during each season. Multivariate statistical analysis viz., Karl Pearson’s correlation coefficient, principal component analysis, and canonical correspondence analysis were applied on microalgae species data, to evaluate the seasonal relationship between microalgae and physico-chemical parameters. The findings of our study concluded that the physico- chemical parameters influenced the dominant taxa of microalgae Chlorellaceae, Scenedesmaceae and Chlorococcaceae in river Noyyal and gives a base data for the seasonal and dynamic relationship between environmental parameters and microalgae population.

Quality Evaluation of Canned Whole Tomatoes

1995 ◽  
Vol 1 (2-3) ◽  
pp. 97-104 ◽  
Author(s):  
S. Porretta
Keyword(s):  
Cluster Analysis ◽  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Quality Evaluation ◽  
Chemical Properties ◽  
Sensory Attributes ◽  
Tomato Juice ◽  
Multivariate Statistical ◽  
Tomato Variety ◽  
Physico Chemical

The physico-chemical properties of commercial canned whole tomatoes (i.e., peeled tomatoes with about 30% tomato juice as packing medium) and the contribution of various analytical parameters to some sensory attributes were evaluated using multivariate statistical analysis. In addition, cluster analysis was used to determine the existence of significant qualitative differences between the old and famous San Marzano variety (as described on the commercial labels by the manufacturers) and traditional (without any specification on the tomato variety) canned whole tomatoes.

scholarly journals Groundwater Quality Evaluation of the Dawu Water Source Area Based on Water Quality Index (WQI): Comparison between Delphi Method and Multivariate Statistical Analysis Method

Water ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1127
Author(s):  
Zhizheng Liu ◽  
Henghua Zhu ◽  
Xiaowei Cui ◽  
Wei Wang ◽  
Xiaoyu Luan ◽  
...  
Keyword(s):  
Water Quality ◽  
Statistical Analysis ◽  
Delphi Method ◽  
Multivariate Statistical Analysis ◽  
Source Area ◽  
Water Source ◽  
Analysis Method ◽  
Chemical Parameters ◽  
Multivariate Statistical ◽  
Statistical Analysis Method

Water quality in the Dawu water source area is primarily studied through the traditional water quality assessment method that measures the chemical parameters of water against the existing standards, which is simple but cannot accurately describe the water quality. Although the water quality index (WQI) proposed by Horton is widely used for comprehensive water quality evaluation, parameter selection and weight determination are primarily based on the Delphi method, which is subjective and random. Moreover, in groundwater evaluation, the focus is primarily laid on general chemical parameters, such as Total Dissolved Solids, hydrogen ion concentration, Electrical Conductivity, and heavy metals, such as Hydrargyrum, Arsenic, and Chromium, with limited consideration for organic pollutants. In this study, WQI technology in combination with the entropy weight method was used to evaluate the groundwater environmental quality of the Dawu water source area, and the scientific results were analyzed by comparing the full index, Delphi, and multivariate statistical analysis methods. The results showed that the groundwater in the Dawu water source area generally had good quality and was potable and that the application of multivariate statistical analysis method was more suitable than the Delphi method in the index selection process.

Evaluating soil, grape and wine composition in the Sopron Wine Region, Hungary

2014 ◽  
Vol 63 (1) ◽  
pp. 165-174
Author(s):  
Eszter Németh ◽  
I. Horváth ◽  
A. Bidló ◽  
T. Hofmann
Keyword(s):  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Grape Berry ◽  
International Studies ◽  
Chemical Parameters ◽  
Multivariate Statistical ◽  
Wine Composition ◽  
Physical And Chemical Parameters ◽  
Wine Region ◽  
Physical And Chemical

The Sopron Wine Region is one of the most significant and historical wineproducing regions in Hungary, with a total area of 4300 hectares, out of which 1800 hectares are used for grapevine cultivation. The aim of the present research was to carry out basic measurements for soil, grape and wine in the Sopron Wine Region to obtain preliminary results for future investigations.The demonstrated methods are suitable for the combined analysis of soils, grape berry and wine. It was established that there are differences between the composition of grape berry and wine of the selfsame vine cultivar in the investigated areas. The terroir effects of the Sopron Wine Region have not been studied as yet extensively, although there are several international studies in this field (e.g. Hugget, 2006; Csikász-Krizsics & Diófási, 2008; Fernández-Marín et al., 2013). By future measurements carried out on a large number of samples and with sophisticated multivariate statistical analysis the relationships between measured physical and chemical parameters can be evaluated in the region, providing basis for establishing terroir aspects.

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