Statistical Analysis of Physico-Chemical Parameters of Water of Pichhola Lake of Udaipur (Rajasthan), India

2020 ◽  
Vol 65 (2) ◽  
pp. 17-37
Author(s):  
Georgiana Grosu ◽  
◽  
Carmen Andreea Roba ◽  
Ramona Bălc ◽  
Maria Lucia Bizău-Cârstea ◽  
...  

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


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Pandian Suresh Kumar ◽  
Jibu Thomas

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.


2014 ◽  
Vol 16 ◽  
pp. 145-156 ◽  
Author(s):  
B. Elayaraj ◽  
M. Selvaraju

The present study deals with the statistical analysis of physico-chemical parameters and cyanophycean members of two pond water quality of Chidambaram, Cuddalore district (Tamil Nadu). The qualities of pond water were analyzed for six months. Eleven important parameters were included in statistical analysis. The qualities of pond water have been assessed by calculating mean, standard deviation and correlation coefficient. Correlation studies of hydrobiology with physico-chemical parameters revealed that the relationship between phytoplankton density in general and that of the specific groups are highly complex and often controlled by interactions of different factors. In the both pond water the correlation coefficient test revealed that cyanophycean members positively correlated with temperature, pH, CO2, alkalinity, hardness, nitrate, BOD and COD at 1 % and 5 % level significant, where as it is negatively correlated with acidity and dissolved oxygen. In the present study it can be concluded that the cyanophycean members are highly tolerant organisms. They prefer to grow at higher temperatures and in highly alkaline, BOD and COD waters. Hence they can with stand high levels of contaminated waters of Thillai Kali Kovil pond, when compared to Ilamiyakkinar Kovil pond.


2019 ◽  
Vol 19 (2) ◽  
pp. 40-44
Author(s):  
J. M. Recio Espejo ◽  
C. Borja Barrera ◽  
F. Díaz del Olmo ◽  
F. Borja Barrera

A statistical analysis is carried out on the influence that certain physico-chemical parameters exert on tirsification and vertisolization pedological processes that occur under certain geomorphological conditions in Andalusia region (Spain). Both processes occur on a parent material with high contents in smectitic clays, massive and uniform and contrasting climatic conditions where periods of humidity and those of drought  alternate. Chromic Vertisol (tirsificated) versus Calcium Vertisol (vertisolizated) (FAO, 2015) shows a greater interrelation between parameters given its greater weathering. Organic carbon controls a large part of its physical-chemical processes where the lateral washing of salts and carbonates together with manganese, always in a lower concentration than iron, play a definitive role in the blackening of its horizons. The chemical fertility is always low and  the geomorphological conditions seems to account for its agricultural capacity.


2020 ◽  
Author(s):  
Tao Jiang ◽  
Amandine Roux ◽  
Sylvain Engilberge ◽  
Zaynab Alsalman ◽  
Sebastiano Di Pietro ◽  
...  

ABSTRACTIn this article, the principle of a database aimed at facilitating the understanding of the unique protein nucleating properties of the Crystallophore is presented. A first analysis allows us to compare the efficiency of Tb-Xo4 with the new Lu-Xo4 variant, featuring improved phasing properties. Then, the concept of subset-of-interest is introduced to reveal potential antagonistic/synergistic effects between Tb-Xo4 and physico-chemical parameters of the crystallisation kits such as pH. The overall approach may be of interest for any studies working on solutions dedicated to improve the nucleating step in protein crystallization.TOC GraphicSynopsisA database and associated representation tools are highlighted to understand nucleating properties of the crystallophore.


2012 ◽  
Vol 2 (10) ◽  
pp. 1-3
Author(s):  
Gyaneswar Bhuyan ◽  
◽  
Dr. R. Anandhan Dr. R. Anandhan ◽  
V. kavitha V. kavitha

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