The Effect of Agricultural Practices on the Drinking Water Quality: A Case Study

2020 ◽  
Vol 17 (2) ◽  
pp. 73-80 ◽  
Author(s):  
Dmitriy Spitsov ◽  
Larisa Nekrasova ◽  
Larisa Kondratenko ◽  
Sergey Pushkin ◽  
Denis Klyuchnikov
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Agricultural Practices ◽  
Drinking Water Quality

scholarly journals Evaluation of drinking water quality indices (case study: Bushehr province, Iran)

2017 ◽  
Vol 4 (2) ◽  
pp. 73-79 ◽  
Author(s):  
Nematollah Jafarzadeh ◽  
Maryam Ravanbakhsh ◽  
Kambis Ahmadi Angali ◽  
Ahmad Zare Javid ◽  
Darioush Ranjbar Vakil Abadi ◽  
...  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Drinking Water Quality ◽  
Quality Indices ◽  
Water Quality Indices

THE ASSESSMENT OF THE VARIATION OF PHYSICO-CHEMICAL SOURCES FOR DRINKING WATER QUALITY USING CHEMOMETRICS: A CASE STUDY AT WATER TREATMENT PLANTS IN KLANG VALLEY

2016 ◽  
Vol 78 (11) ◽  
Author(s):  
Manutha Appa Rwoo ◽  
Hafizan Juahir ◽  
Nor Malisa Roslan ◽  
Mohd Ekhwan Toriman ◽  
Azizah Endut ◽  
...  
Keyword(s):  
Water Quality ◽  
Heavy Metal ◽  
Drinking Water ◽  
Quality Parameters ◽  
Drinking Water Quality ◽  
Water Treatment Plants ◽  
Physico Chemical ◽  
Drinking Water Samples ◽  
Source Of Pollution

This case study characterizes the drinking water quality by using the multivariate technique. The spatial variation of the physico-chemical and heavy metals parameters toxicity with the drinking water quality based on 28 water treatment plants in Selangor, Malaysia from 2009 to 2012 was evaluated. The objectives of this study are to analyze the physio-chemical activities and heavy metals activities in the collected drinking water samples from the treatment plants, and to detect the source of pollution for the most revealing parameters. The discriminant analysis (DA) and the principal component analysis (PCA) are the chemometric techniques used to investigate the spatial variation of the most significant physico-chemical and heavy metal parameters of the drinking water samples. The classification matrix accuracy for standard mode of DA, forward stepwise and backward stepwise for the physico-chemical and heavy metal parameters are excellent. PCA highlighted 13 significant parameters out of 18 physico-chemical water quality parameters and 14 significant parameters out of 16 heavy metal parameters. PCA was carried out to identify the origin and source of pollution of each water quality parameters. For that reason, this study proves that chemometric method is the principle way to explain the characteristic of the drinking water quality.

scholarly journals Variations of Drinking Water Quality Influenced by Seasons and Household Interventions: A Case Study from Rural Maharashtra, India

Environments ◽  
2017 ◽  
Vol 4 (3) ◽  
pp. 59
Author(s):  
Isabel Seifert-Dähnn ◽  
Ingrid Nesheim ◽  
Sambita Gosh ◽  
Rutuja Dhawde ◽  
Appasaheb Ghadge ◽  
...  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Drinking Water Quality

Storage Tank Management to Improve Drinking Water Quality: Case Study

2000 ◽  
Vol 126 (4) ◽  
pp. 221-228 ◽  
Author(s):  
Vincent Gauthier ◽  
Marie-Claude Besner ◽  
Benoit Barbeau ◽  
Robert Millette ◽  
Michèle Prévost
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Storage Tank ◽  
Drinking Water Quality

scholarly journals A case study in participatory science with mutual capacity building between university and tribal researchers to investigate drinking water quality in rural Maine

2021 ◽  
Vol 192 ◽  
pp. 110460
Author(s):  
Tchelet Segev ◽  
Abigail P. Harvey ◽  
Asha Ajmani ◽  
Christopher Johnson ◽  
William Longfellow ◽  
...  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Capacity Building ◽  
Drinking Water Quality ◽  
Participatory Science
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