Abstract
This study proposes an approach to detect and remove systematic outliers in rainfall measurement of ground gauges in the watershed of a reservoir. This method utilizes a conceptual rainfall-runoff model with the downstream observed reservoir inflow to supervise the detection and cleanse of upstream rain measurements. The analysis is based on a nonlinear optimization with the objective designed as only removing outliers which leads to relevant improvement in runoff simulation to satisfy required precision. The minimum acceptable precision in hydrological simulation is specified based on the objective of reservoir flood control operation. This method can be utilized to purify historical rain data for hydrological studies, as well as to estimate the current floodwater detained in the watershed for more robust flood management in real-time. A realistic case study along with synthetically designed experiments are demonstrated to verify the effectiveness of the proposed methods.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
