Application of multivariate statistical techniques for water quality characterization of Sarda Sagar Reservoir, India
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Authors
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Prem Kumar
Directorate of Coldwater Fisheries Research, Bhimtal - 263 136, Uttarakhand, India
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K K Saxena
Bareilly College, Bareilly -243 001, Uttar Pradesh, India
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N Okendro Singh
Directorate of Coldwater Fisheries Research, Bhimtal - 263 136, Uttarakhand, India
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Ashok K Nayak
Directorate of Coldwater Fisheries Research, Bhimtal - 263 136, Uttarakhand, India
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B C Tyagi
Directorate of Coldwater Fisheries Research, Bhimtal - 263 136, Uttarakhand, India
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S Ali
Directorate of Coldwater Fisheries Research, Bhimtal - 263 136, Uttarakhand, India
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N N Pandey
Directorate of Coldwater Fisheries Research, Bhimtal - 263 136, Uttarakhand, India
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P C Mahanta
Directorate of Coldwater Fisheries Research, Bhimtal - 263 136, Uttarakhand, India
Abstract
Multivariate statistical techniques were applied to water quality dataset collected from Sarda Sagar Reservoir. The resultsrevealed the usefulness of multivariate techniques for evaluation of input water sources and interpretation of large complex
water quality dataset for effective management of water resources. The largest source of variation (25%) is contributed from
physical water quality parameters. Additional inputs come from the second factor accounting for about 15%. The third
factor, accounting for 14% is associated with wastewater discharges and the fourth factor accounting for 12%. Finally, it
suggests that a fraction of wastewater discharge is the only primary source of variations in this reservoir and there is no major
threat of pollution. Cluster analysis showed that number of sampling sites as well as the sampling frequency could be
consolidated.
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The copyright of the articles published in Indian Journal of Fisheries vests with the Indian Council of Agricultural Research, who has the right to enter into any agreement with any organization in India or abroad engaged in reprography, photocopying, storage and dissemination of information contained in these journals. The Council has no objection in using the material, provided the information is being utilized for academic purpose but not for commercial use. Due credit line should be given to the ICAR where information will be utilized.How to Cite
Kumar, P., Saxena, K. K., Singh, N. O., Nayak, A. K., Tyagi, B. C., Ali, S., Pandey, N. N., & Mahanta, P. C. (2012). Application of multivariate statistical techniques for water quality characterization of Sarda Sagar Reservoir, India. Indian Journal of Fisheries, 58(4), 21-26. https://epubs.icar.org.in/index.php/IJF/article/view/13752
