Trend Analysis of Water Quality Parameters of Surma River, Bangladesh
Keywords:
Adjusted R squared value, Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Cubic Trend, Dissolved Oxygen (DO), Linear Trend, PCA (Principal Component Analysis), pH, Quadratic Trend, Rainy Season, Surma, Suspended Solids (SS), Temperature, Total Solids (TS), Total Dissolved Solids (TDS), Water Quality Parameters and Winter Season.Abstract
This study analyzes trends water quality of the Surma River in Sylhet, Bangladesh focuses to physico-chemical parameters, including temperature, pH, dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD), total solids (TS), total dissolved solids (TDS), and suspended solids (SS) during the rainy and winter seasons from 2010 to 2013. The findings revealed that temperature, pH, TS, and TDS of the Surma River exhibited variations within the prescribed standards. However, the average values of BOD, COD, and SS surpassed the established limits, while DO levels were consistently below the permissible threshold. Employing Principal Component Analysis (PCA), 18 significant variables were identified, showing a mix of linear, quadratic, and cubic trends across the seasons. From trend analysis it is found that three variables follow linear trend, five variables follow quadratic trend and ten variables follow cubic trend successively. These insights into the trends of Surma River's physico-chemical parameters contribute to understanding its behavior, aiding in effective monitoring and management strategies.
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Copyright (c) 2024 Tajmunnaher, Mohammod Aktarul Islam Chowdhury, Shakib Bhuiyan
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.