Trend Analysis of Water Quality Parameters of Kushiyara River, Bangladesh

Dr. Tajmunnaher, Dr. Mohammod Aktarul Islam Chowdhury, Shakib Bhuiyan

Cubic Trend, Linear Trend, PCA (Principal Component Analysis), Quadratic Trend, Water Quality Parameters, Adjusted R squared value

In water resources, analyzing trends in water quality data is essential for planning streams, tracking changes in water quality parameters, and identifying changes in water quality. The research was undertaken to assess the overall water quality of the Kushiyara rivers on the basis of physico-chemical parameters such as temperature, pH, DO, BOD, COD, TS, TDS and SS in both rainy season and winter season for the years 2010 to 2013. The analysis revealed that temperature, pH, TS and TDS of the Kushiyara rivers in both season lie within the limit of Bangladesh water quality standard. But the average values of BOD, COD and SS cross the limit of Bangladesh water quality standard defined by DoE, Bangladesh. On the other hand, DO of both rivers are strictly below the permissible limit. For the findings of the ultimate goal of this study, several statistical analysis is done with the help of different statistical software. The PCA is used to extract the important parameters for trend analysis. According to trend analysis, it is found that three parameters follow a linear trend, five parameters follow a quadratic trend, and ten parameters follow a cubic trend sequentially. The findings showed that the watershed's overall water quality has been contaminated by a wide range of contaminants due to exposure to different pollutants. These findings may offer practical and efficient information for managing and controlling watershed contamination.

https://doi.org/10.31871/IJNTR.10.5.3