scholarly journals Impact of industrial wastes on the water quality of tropical river, Ami (India)

2011 ◽  
Vol 3 (2) ◽  
pp. 219-223 ◽  
Author(s):  
Uday Bhan Prajapati ◽  
Anil K. Dwivedi
Keyword(s):  
Water Quality ◽  
Seasonal Variation ◽  
Statistical Analysis ◽  
Physicochemical Parameters ◽  
Industrial Effluents ◽  
Summer Season ◽  
The Other ◽  
Industrial Wastes ◽  
Tropical River

Industries discharge their effluents which are rich in solids, may it be in the form of TSS or TDS. These solids affect the other physicochemical parameters of the water body. Present study deals with the investigation of seasonal variation and statistical analyses of the selected parameters, in river Ami, in light of the industrial effluents. The study records that summer season, appears to be the most polluted, that is during the period when the river carries little amount of water. Statistical analysis showed that all the physicochemical parameters were positively correlated except TDS and temperature.

scholarly journals Analysis of some aspects of water quality of Lake Naivasha

2017 ◽  
Vol 6 (1) ◽  
pp. 2001
Author(s):  
James Last Keyombe* ◽  
Edna Waithaka
Keyword(s):  
Water Quality ◽  
Physicochemical Parameters ◽  
Nutrient Loading ◽  
The Other ◽  
Lake Naivasha ◽  
Chemical Parameters ◽  
Dissolved Nutrients ◽  
Physico Chemical ◽  
Comparison Of The Results

In-depth analyses of physicochemical parameters and dissolved nutrients in Lake Naivasha was done during the dry (June 2014) and wet seasons (May and April 2016). A comparison of the results was made between the two seasons. Dissolved oxygen in Lake Naivasha was higher in comparison to other fresh water lakes within Kenya while relative stability was noted in the other physico-chemical parameters (pH, temperature and conductivity). Results also show that Lake Naivasha is phosphorus limited aquatic system with measurements ranging between 0.07 – 0.23 mg/l in March and 0.09 – 0.83 mg/l in April 2016. Nitrates ranged between 0.10 mg/l – 0.30 mg/l in March 2016 while in April no Nitrates were detected in the water samples. Sources of nutrient loading into the lake should be investigated and proper measure to be taken for sustainability of Lake Naivasha.

scholarly journals Fuzzy Environmental Model for Evaluating Water Quality of Sangam Zone during Maha Kumbh 2013

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Pankaj Srivastava ◽  
Anjali Burande ◽  
Neeraja Sharma
Keyword(s):  
Water Quality ◽  
Soft Computing ◽  
Physicochemical Parameters ◽  
Anthropogenic Activities ◽  
Computing System ◽  
Research Paper ◽  
Industrial Wastes ◽  
Human Beings ◽  
Environmental Model

It is a well-known fact that water is the basic need of human beings. The industrial wastes nearby rivers and several anthropogenic activities are responsible for deteriorating water quality of rivers in India. The present research paper deals with the design and development of soft computing system to assess the water quality of rivers Ganga and Yamuna during the Maha Kumbh 2013 in and around Sangam Zone, Allahabad, by making use of physicochemical parameters relationship.

scholarly journals Assessment of Quality of Groundwater in Kandarvakottai and Karambakudi Areas of Pudukkottai District, Tamilnadu, India

2009 ◽  
Vol 6 (3) ◽  
pp. 898-904
Author(s):  
D. Ilangeswaran ◽  
R. Kumar ◽  
D. Kannan
Keyword(s):  
Water Quality ◽  
Electrical Conductivity ◽  
Physicochemical Parameters ◽  
Quality Standards ◽  
Physicochemical Characteristics ◽  
Total Dissolved Solids ◽  
Water Quality Standards ◽  
Standard Procedures ◽  
Groundwater Samples

Various samples of groundwater were collected from different areas of Kandarvakottai and Karambakudi of Pudukkottai District, Tamilnadu and analyzed for their physicochemical characteristics. The results of this analysis were compared with the water quality standards of ISI, WHO and CPHEEO. In this analysis the various physicochemical parameters such as pH, electrical conductivity, turbidity, total dissolved solids, Cl-, F-, SO42-, PO43-, NO3-, NO2-, CN-, Nas+, K+, NH3, Mn, Fe, Ca & Mg hardnessetc., were determined using standard procedures. The quality of groundwater samples were discussed with respect to these parameters and thus an attempt were made to ascertain the quality of groundwater used for drinking and cooking purposes in and around Kandarvakottai and Karambakudi areas.

scholarly journals Water Quality and Haematological Indices of Clarias gariepinus from Ogun River (Nigeria)

2015 ◽  
Vol 17 (2) ◽  
pp. 105-112
Author(s):  
Olaniyi Alaba Olopade ◽  
Iyabode Olusola Taiwo ◽  
Comfort Opeoluwa Oluwoleand ◽  
Justin Ayaegbunem Akankali
Keyword(s):  
Water Quality ◽  
Physicochemical Parameters ◽  
Clarias Gariepinus ◽  
Haematological Parameters ◽  
African Catfish ◽  
Effect Of Water ◽  
Almost All ◽  
Haematological Indices ◽  
Ogun River

Abstract This study was conducted to assess the effect of water quality of the Ogun River on the haematological indices of the African catfish Clarias gariepinus. Samples of water and Clarias gariepinus were collected from Ogun River (Station I, Opeji and Station II, Lafenwa) to determine and compare effects of possible differences in water quality on haematological parameters of Clarias gariepinus. The results demonstrate that higher index values were recorded at station II than Station I for almost all the physicochemical parameters and only sulphate values from Stations I and II were statistically significant (P < 0.05).

scholarly journals Assessment of Water Quality of Blue Nile River in Sudan

2018 ◽  
Vol 1 (3) ◽  
pp. 1-14
Author(s):  
Rasha Babiker Gurashi Abu Sabah ◽  
Abubaker Haroun Mohamed Adam ◽  
Dawoud Mohamed Ali
Keyword(s):  
Water Quality ◽  
Seasonal Variation ◽  
World Health ◽  
Nile River ◽  
Blue Nile ◽  
Surrounding Environment ◽  
The World ◽  
Living Organisms ◽  
Health Organization

The objectives of this study were to quantify the fresh water quality of Blue Nile River before processing, identify the pollutants, and to determine the most polluted areas, and their impacts on living organisms as well as the surrounding environment. Thus, random water samples were collected and analyzed at the laboratory of the Ministry of Irrigation and Water Resources, Ground water and Wadis Directorates - Khartoum. The outcomes were compared with the World Health Organization standardization. The results revealed variations in the concentration of the studied elements taken from the different locations. But, the results indicated that the water quality is good, and it is within the permissible water use. However, further study is recommended to include seasonal variation as well as the biological analysis.

scholarly journals Investigating the Impact of Anthropogenic and Natural Sources of Pollution on Quality of Water in Upper Indus Basin (UIB) by Using Multivariate Statistical Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Mansoor A. Baluch ◽  
Hashim Nisar Hashmi
Keyword(s):  
Water Quality ◽  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Quality Parameters ◽  
Anthropogenic Source ◽  
Indus River ◽  
Multivariate Statistical ◽  
Quality Of Water ◽  
The Impact

Water quality of the Indus River around the upper basin and the main river was evaluated with the help of statistical analysis. In order to analyze the similarities and dissimilarities for identifying the spatial variations in water quality of the Indus River and sources of contamination, multivariate statistical analysis, i.e., principle component analysis (PCA), cluster analysis, and descriptive analysis, was done. Data of 8 physicochemical quality parameters from 64 sampling stations belonging to 6 regions (labeled as M1, M2, M3, M4, M5, and M6) were used for analysis. The parameters used for assessing the water quality were pH, dissolved oxygen (DO), oxygen reducing potential (ORP), electrical conductivity (EC), total dissolved solids (TDS), salinity (%), and concentration of arsenic (As) and lead (Pb), respectively. PCA assisted in extracting and recognizing the responsible variation factors of water quality over the region, and the results showed three underlying factors including anthropogenic source pollution along with runoff due to rain and soil erosion were responsible for explaining the 93.87% of total variance. The parameters which were significantly influenced by anthropogenic impact are DO, EC, TDS (negative), and concentration of Pb (positive), while the concentration of As, % salinity, and ORP are affected by erosion and runoff due to rain. The worst pollution situation for regions M1 and M6 was due to the concentration of As which was approximately 400 μg/l (i.e., 40 times higher than minimum WHO recommendation). Furthermore, the results also indicated that, in the Indus River, three monitoring stations and five quality parameters are sufficient to have a reasonable confidence about the quality of water in this most important reserve of Pakistan.

scholarly journals Multivariate and Spatial Analysis of Physicochemical Parameters in an Irrigation District, Chihuahua, Mexico

Water ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 1037 ◽  
Author(s):  
Jesús Prieto-Amparán ◽  
Beatriz Rocha-Gutiérrez ◽  
María Ballinas-Casarrubias ◽  
María Valles-Aragón ◽  
María Peralta-Pérez ◽  
...  
Keyword(s):  
Water Quality ◽  
Physicochemical Parameters ◽  
Reduction Potential ◽  
Principal Component ◽  
Total Dissolved Solids ◽  
Irrigation District ◽  
Maximum Permissible Level ◽  
Site Water ◽  
Agricultural Use

Water quality is relevant due to the complexity of the interaction of physicochemical and biological parameters. The Irrigation District 005 (ID005) is one of the most important agricultural region in Chihuahua, México; for that reason, it was proposed to investigate the water quality of the site. Water samples were collected in two periods: Summer (S1) and Fall (S2). The samples were taken from 65 wells in S1, and 54 wells in S2. Physicochemical parameters (PhP) such as Arsenic (As), Temperature, Electrical Conductivity (EC), Oxide Reduction Potential (ORP), Hardness, pH, Total Dissolved Solids (TDS), and Turbidity were analyzed. The data were subjected to statistical principal component analysis (PCA), cluster analysis (CA) and spatial variability tests. In both seasons, the TDS exceeded the Mexican maximum permissible level (MPL) (35% S1, 39% S2). Turbidity exceeded the MPL in S1 (29%) and in S2 (12%). Arsenic was above the MPL for water of agricultural use in 9% (S1) and 13% (S2) of the wells. The PCA results suggested that most variations in water quality in S1 were due to As, pH and Temperature, followed by EC, TDS and Hardness; while in S2 to EC, TDS and Hardness, followed by As and pH.

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