Abstract
This study explores the use of Bayes' theorem to determine the probability characteristics of reservoir operation, specifically in cases where the reservoir capacity is exceeded or sustained within its active storage capacity. The investigation focuses on moments of streamflow increase during the spring flood and water shortage in the fall. The study aims to develop methods for regulating reservoir runoff using Bayesian technology, with specific tasks including developing a calculation algorithm to estimate the probabilistic characteristics of reservoir operation based on the Bayes formula with a seasonal division of the water management year, identi-fying the necessary probabilistic characteristics of reservoir filling and water recovery, and solving the inverse problem using the Bayes formula to determine the required initial filling at given values of the reservoir filling and its probability by the end of the calculated time interval. The study's relevance is rooted in the need to determine the probability characteristics of reservoir filling and water discharge to consumers during streamflow regulation.
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.
