Open AccessOn the use of statistical techniques to assess the interrelationships of key water characteristics and plankton in the RIver Ganga at Veer-Bhadra Barrage
Author(s) -
Vandana Vandana,
Vasantika Kashyap
Publication year - 2021
Publication title -
journal of mountain research/journal of mountain research
Language(s) - English
Resource type - Journals
eISSN - 2582-5011
pISSN - 0974-3030
DOI - 10.51220/jmr.v16i3.17
Subject(s) - plankton , alkalinity , abiotic component , linear regression , water quality , linear relationship , hydrology (agriculture) , ecosystem , environmental science , geography , ecology , statistics , mathematics , geology , biology , chemistry , geotechnical engineering , organic chemistry
Past studies have demonstrated that some physico-chemical parameters play an important role in determining the quantity and quality of plankton in mountain (Himalayan) rivers. Due to their interplay they have well-defined statistical relationships. The present study assesses relationships among water temperature, DO, pH, CO2 and total alkalinity (TA) and plankton in the foothill section of the river Ganga at Veer-Bhadra barrage, Rishikesh. The correlation and regression analysis between showed linear +ve weak (non-significant) relationship for all abiotic factors except WT-DO. DO and TA show –ve linear insignificant relationship with plankton. Weak relationships suggests a perturbed ecosystem