Abstract
Fine temporal resolution streamflow records offer valuable information to further our understanding of watershed function. Among the many tools to decipher watershed processes, recession analysis can be used to gain insight into storage-discharge properties and watershed storage by analyzing portions of stream hydrographs whose behavior is attributed to the relationship between aquifer structure and groundwater outflow to the steam channel. Although numerous methods have been employed to advance recession analysis methodology, no comprehensive approach to identify the cessation or continuation of recession events from fine temporal resolution data has been established. A new extraction algorithm, the HYDrograph Recession extraction Algorithm (HYDRA), is proposed to improve identification of recession events from fine temporal resolution hydrographs. HYDRA exploits site-specific stage-discharge relations to qualify the beginning or end of a hydrograph recession by accounting for stage measurement error which translates to uncertainty in the stream hydrograph. Experiments compared HYDRA to previous published methods, revealing that HYDRA led to significant improvements in identifying the continuation of recession events, resulting in superior estimation of theoretical recession parameter values. Additional case studies assert that HYDRA robustly identifies recession events across a spectrum of temporal resolution discharge records, affirming that the extraction algorithm provides a functional tool to identify recession events for further recession-based theoretical analysis.
Published Version
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 call