Saher Khan | Sri Jayachamarajendra college of Engineering (original) (raw)

Papers by Saher Khan

Research paper thumbnail of Evaluating the performance of a hybrid cooling and heating power system using Carbon dioxide energy storage

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

International Journal of Scientific Research in Science and Technology, 2021

River Kabini, during its course through Sutturu village, Mysuru district in Karnataka state (Indi... more 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.

Research paper thumbnail of Artifacts Recovery and Understanding Using High Level Models

The systems are required to understand and present at higher levels of abstractions to perform ch... more The systems are required to understand and present at higher levels of abstractions to perform changes or re-engineer to meet the current requirements. The software systems drift away from the existing implemented source code and the documentations due to the changes. The high level models are used for the purpose of recovering the artifacts and understanding the system to perform the maintenance activities. This paper presents an approach to develop the high level models from the existing source code and documents.

Research paper thumbnail of Estimation of Rate Constants for Nutrient Transformations

International Journal of Recent Technology and Engineering

Non-point source pollution of surface water is a major impediment to meet water quality objective... more Non-point source pollution of surface water is a major impediment to meet water quality objectives. Managing such pollution sources in a sustainable way is a key success factor in maintaining high water quality and to prevent eutrophication. Mathematical models are widely used to simulate ecological and water quality interactions in surface waters. Simulation errors may arise due to uncertainties of the structure, input data and the model parameters. In this study, an attempt has been made to estimate the rate constants for nutrient transformations in Kabini River located in Southern part of Karnataka state in India. The experimental results demonstrated both ammonia and nitrite oxidation. In the river water, DO concentration was 5.2 mg/L. After addition of pollutants it reduced to 3.9 mg/L. EC changed from 370 to 550 µS/cm. pH remained almost the same. At 320C, the rate constants for phosphate, nitrate, nitrite, potassium and ammonia were found to be 0.165, 0.21, 0.077, 0.0777 and ...

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

International Journal of Scientific Research in Science and Technology, 2021

River Kabini, during its course through Sutturu village, Mysuru district in Karnataka state (Indi... more 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.

Research paper thumbnail of Introduction to Geographic Information Systems20190721 34510 b9rbks

Research paper thumbnail of Evaluating the performance of a hybrid cooling and heating power system using Carbon dioxide energy storage

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

International Journal of Scientific Research in Science and Technology, 2021

River Kabini, during its course through Sutturu village, Mysuru district in Karnataka state (Indi... more 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.

Research paper thumbnail of Artifacts Recovery and Understanding Using High Level Models

The systems are required to understand and present at higher levels of abstractions to perform ch... more The systems are required to understand and present at higher levels of abstractions to perform changes or re-engineer to meet the current requirements. The software systems drift away from the existing implemented source code and the documentations due to the changes. The high level models are used for the purpose of recovering the artifacts and understanding the system to perform the maintenance activities. This paper presents an approach to develop the high level models from the existing source code and documents.

Research paper thumbnail of Estimation of Rate Constants for Nutrient Transformations

International Journal of Recent Technology and Engineering

Non-point source pollution of surface water is a major impediment to meet water quality objective... more Non-point source pollution of surface water is a major impediment to meet water quality objectives. Managing such pollution sources in a sustainable way is a key success factor in maintaining high water quality and to prevent eutrophication. Mathematical models are widely used to simulate ecological and water quality interactions in surface waters. Simulation errors may arise due to uncertainties of the structure, input data and the model parameters. In this study, an attempt has been made to estimate the rate constants for nutrient transformations in Kabini River located in Southern part of Karnataka state in India. The experimental results demonstrated both ammonia and nitrite oxidation. In the river water, DO concentration was 5.2 mg/L. After addition of pollutants it reduced to 3.9 mg/L. EC changed from 370 to 550 µS/cm. pH remained almost the same. At 320C, the rate constants for phosphate, nitrate, nitrite, potassium and ammonia were found to be 0.165, 0.21, 0.077, 0.0777 and ...

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

International Journal of Scientific Research in Science and Technology, 2021

River Kabini, during its course through Sutturu village, Mysuru district in Karnataka state (Indi... more 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.

Research paper thumbnail of Introduction to Geographic Information Systems20190721 34510 b9rbks