Development of statistical model for prediction of river/stream flow based on experimental data

Abstract

River flow information is essential for many important applications such as global water balances, engineering design, flood forecasting, reservoir operations, navigation, water supply, recreation, and environmental management etc. Growing population and competing priorities for water, including preservation and restoration of aquatic habitat, are spurring demand for more accurate, timely, and accessible water data. A special positioning device has been developed for placing the current meter for capturing the flow data. The data is used for establishing a statistical model for the prediction of the relationship between average velocity and water level. Thus, water flow discharge can be assessed just by observing the water level. The model developed predicts the results within 95% confidence levels and thus, validates the work in an impactful way.