Estimating Reservoir Inflow and Outflow From Water Level Observations Using Expert Knowledge: Dealing With an Ill?Posed Water Balance Equation in Reservoir Management

Quantifying reservoir water balance is an essential process for the efficient management of resources. Water level records are often only data available analysis, which causes ill-posed problem in resource system planning. This study proposes analytical framework to estimate inflow and outflow from observations using hydrological models reasoning carefully derived expert knowledge soft data. Partial hydrographs were constructed a continuity equation knowledge-based constraints developed periods no spillway discharge. A bucket-type rainfall-runoff model was then calibrated partial hydrographs. Finally, complete hydrograph models, employed detailed components under full relationship between inflow, outflow, levels, operation rules. The proposed solution outperformed conventional (benchmark) approaches accuracy uncertainty its application agricultural reservoirs. demonstrates how modeling reasoning, discreetly designed based on knowledge, can help solve by creating supplementary information regarding problem. expected assist reconstructing routing processes analysis