A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Multivariate Analysis of Water Quality of Ganga River
https://orcid.org/http://orcid.org/0000-0002-1664-7787
With an increase in population and accelerated pace of industrialization, water quality is going to degrade day-by-day. The main source of water in India is from rivers. The Ganga River Basin is the world’s most populated and is home to half of India's population, including two-thirds of the nation’s poor. This paper highlights the utility of multivariate statistical techniques for evaluating, interpreting complex data sets and recognizing spatial differences in water quality for effective management of river water quality. A study was conducted to check the water quality in three different states of India, namely Bihar, Uttar Pradesh and West Bengal, by examining their various Physico-chemical parameters. These parameters were analyzed, and values obtained were compared with standard values. We have examined the causality relationship and correlation existence between Temp, pH, Dissolved Oxygen, Conductivity, Biochemical Oxygen Demand, Nitrate, Total Coliform and Fecal Coliform. Total Coliform and Fecal Coliform are strongly correlated with a value of 0.975, whereas Dissolved Oxygen and temperature have a negative correlation with a − 0.650 value. The analysis also reveals that Biochemical Oxygen Demand, Fecal Coliform and Total Coliform parameters impact the most in the degradation of water quality of the Ganga river water.
Multivariate Analysis of Water Quality of Ganga River
https://orcid.org/http://orcid.org/0000-0002-1664-7787
With an increase in population and accelerated pace of industrialization, water quality is going to degrade day-by-day. The main source of water in India is from rivers. The Ganga River Basin is the world’s most populated and is home to half of India's population, including two-thirds of the nation’s poor. This paper highlights the utility of multivariate statistical techniques for evaluating, interpreting complex data sets and recognizing spatial differences in water quality for effective management of river water quality. A study was conducted to check the water quality in three different states of India, namely Bihar, Uttar Pradesh and West Bengal, by examining their various Physico-chemical parameters. These parameters were analyzed, and values obtained were compared with standard values. We have examined the causality relationship and correlation existence between Temp, pH, Dissolved Oxygen, Conductivity, Biochemical Oxygen Demand, Nitrate, Total Coliform and Fecal Coliform. Total Coliform and Fecal Coliform are strongly correlated with a value of 0.975, whereas Dissolved Oxygen and temperature have a negative correlation with a − 0.650 value. The analysis also reveals that Biochemical Oxygen Demand, Fecal Coliform and Total Coliform parameters impact the most in the degradation of water quality of the Ganga river water.
Multivariate Analysis of Water Quality of Ganga River
https://orcid.org/http://orcid.org/0000-0002-1664-7787
With an increase in population and accelerated pace of industrialization, water quality is going to degrade day-by-day. The main source of water in India is from rivers. The Ganga River Basin is the world’s most populated and is home to half of India's population, including two-thirds of the nation’s poor. This paper highlights the utility of multivariate statistical techniques for evaluating, interpreting complex data sets and recognizing spatial differences in water quality for effective management of river water quality. A study was conducted to check the water quality in three different states of India, namely Bihar, Uttar Pradesh and West Bengal, by examining their various Physico-chemical parameters. These parameters were analyzed, and values obtained were compared with standard values. We have examined the causality relationship and correlation existence between Temp, pH, Dissolved Oxygen, Conductivity, Biochemical Oxygen Demand, Nitrate, Total Coliform and Fecal Coliform. Total Coliform and Fecal Coliform are strongly correlated with a value of 0.975, whereas Dissolved Oxygen and temperature have a negative correlation with a − 0.650 value. The analysis also reveals that Biochemical Oxygen Demand, Fecal Coliform and Total Coliform parameters impact the most in the degradation of water quality of the Ganga river water.
Multivariate Analysis of Water Quality of Ganga River
J. Inst. Eng. India Ser. B
Bagla, Piyush (author) / Kumar, Kuldeep (author) / Sharma, Nonita (author) / Sharma, Ravi (author)
Journal of The Institution of Engineers (India): Series B ; 102 ; 539-549
2021-06-01
11 pages
Article (Journal)
Electronic Resource
English
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