Abstract
One of the most crucial aspects for a healthy environment is water quality. A wide range of animals and plants rely on clean water. Pollutants, fertilizers, and excess fluids from sediments are commonly transferred by spillage from towns and agricultural regions to nearby lakes and rivers, affecting water quality. We have to measure a variety of properties to determine water quality, such as conductivity, DO, NH4-nitrogen, pH, organic and inorganic phosphorus content. Water quality modelling includes water quality-based data using mathematical simulation techniques. Water quality modelling assists individuals in understanding the significance of water quality concerns, and the model gives evidence for policymakers to make choices on how to effectively mitigate water. Water quality simulation can also assist uncover information gaps and assess the relationship between freshwater resources and water quality. Water quality modelling is especially important at both local and global levels due to the increasing use of freshwater by humans. Understand and predict changes in water resources over time due to water shortages, climate change and economic factors. In this study, we are using the steady-state model QUAL-2K. The model will use the following data: conductivity, DO, NH4-nitrogen, pH, organic and inorganic phosphorus content.
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Acknowledgements
The authors acknowledge the data support measured at the Environment Agency’s Binfield gauging station to carry out present work. The authors are also thankful to UK Environmental Department for providing necessary data to conduct the present study.
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Sahoo, D., Swain, R. (2023). Water Quality Modelling Using QUAL-2K at Bray Marina, UK. In: Timbadiya, P.V., Patel, P.L., Singh, V.P., Barman, B. (eds) Fluid Mechanics and Hydraulics. HYDRO 2021. Lecture Notes in Civil Engineering, vol 314. Springer, Singapore. https://doi.org/10.1007/978-981-19-9151-6_40
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