Published August 30, 2021 | Version v1

Application of Automated QUAL2Kw for Water Quality Modeling in the Kabini River, Mysuru

Description

River Kabini, during its course through Sutturu village, Mysuru district in Karnataka state (India), receives agricultural runoff and untreated domestic waste on the bank of the river. The present study involves the application of water quality model QUAL2Kw to predict the water quality of the selected river stretch. The model was calibrated and validated for Dissolved Oxygen, Organic Nitrogen, Ammonium Nitrogen, Nitrate Nitrogen, Organic Phosphorus, and Inorganic Phosphorus in pre-monsoon season. Data for calibration and validation were obtained after the field and laboratory measurements. The performance of the model was evaluated using statistics based on Root mean square errors (RMSE). The RMSE for Dissolved Oxygen, Organic Nitrogen, Ammonium Nitrogen, Nitrate Nitrogen, Organic Phosphorus, and Inorganic Phosphorus during calibration are 2.86, 11.42, 14.11, 12.68, 3.25 and 12.70. Corresponding values for the validation are 1.04, 1.16, 0.05, 0.04, 0.29 and 0.68. In spite of some differences between the measured and simulated data sets at some points, the calibration and validation results are acceptable.

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Journal article: https://ijsrst.com/IJSRST217491 (URL)