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Estimation of Rate Constants for Nutrient Transformations
Najamussahar H Mulla1, J Mohammed Nayaz Baig2, B. M. Krishna3, B. Manoj Kumar4, Mudassira Tahneet B. Lahori5

1Najamussahar H Mulla, Ph.D. Scholar, Department of Environmental Engineering, JSS Science and Technology University (Formerly SJCE), Mysuru, Karnataka, India.
2J Mohammed Nayaz Baig, M.Tech. Scholar, Department of Health Science and Water Engineering, JSS Science and Technology University (Formerly SJCE), Mysuru, Karnataka, India.
3Dr. B. M. Krishna, Associate Professor, Department of Environmental Engineering, JSS Science and Technology University (Formerly SJCE), Mysuru, Karnataka, India.
4Dr. B. Manoj Kumar, Professor, Department of Environmental Engineering, JSS Science and Technology University (Formerly SJCE), Mysuru, Karnataka, India.
5Mudassira Tahneet B. Lahori, Software Developer, REOTRIX Technologies, Pune, Maharashtra, India. 

Manuscript received on 5 August 2019. | Revised Manuscript received on 11 August 2019. | Manuscript published on 30 September 2019. | PP: 1443-1448 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4688098319/2019©BEIESP | DOI: 10.35940/ijrte.C4688.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: 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 0.078/hr respectively. The results obtained clearly specify that the rate constants are concentration and temperature dependent.
Index Terms: Nutrient Transformations, Rate Constants, Surface Water, Water Quality Modelling.

Scope of the Article:
Frequency Selective Surface