Modeling the stage-discharge relationship in river flow is crucial in controlling floods,
planning sustainable development, managing water resources and economic development …

Modelling the hydrologic processes is an essential tool for the efficient management of water
resource systems. Therefore, researchers are consistently developing and improving …

This paper focuses on three models namely probabilistic neural network (PNN), k-nearest
neighbor and support vector machine (SVM) as an alternative to NSFWQI in order to classify …

Establishing a reliable rating curve is an integral part of water resource engineering. The
present paper is a review of data driven techniques used for modelling the stage discharge …

River discharge links the hydrologic and geologic cycles in addition to climate components;
therefore, it forms an important source of hydraulic and hydrologic quantity. The ability to …

The data-driven techniques have gained more attention in stream flow prediction in recent
years. In the current study, three different trees models (random forest, TreeBoost, and …

Accurate estimation of discharge in rivers forms the basis of efficient flood management and
surface water planning. However, continuous measurement of discharge in a stream is …

Determination of stage-discharge relationships in natural rivers is extremely important in
flood control projects. Observational data at various stages cannot be collected …

Modelling the stage–discharge relationship is vital for precise discharge estimation, which is
essential in reservoir operation, design of hydraulic structures, flood and drought control …

Accurate forecasting of river discharge is essential for the efficient operation of water
resources systems. Therefore, researchers are consistently developing and improving …