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A Lyne–Hollick filter-derived threshold framework for event and base flow separation in subsurface drainage systems

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Jan 09, 2026 version files 310.83 KB
Apr 07, 2026 version files 395.12 KB
Apr 19, 2026 version files 395.12 KB
May 06, 2026 version files 380.51 KB

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Abstract

Accurate separation of event flow and base flow in subsurface drainage systems is essential for nutrient transport assessment; however, this task remains challenging because both components are conveyed through the same tile network, producing a composite hydrologic signal. This study develops a standardized, objective, and reproducible framework for delineating event and base flow across sites, seasons, and temporal resolutions. The approach is built on the Lyne–Hollick recursive digital filter, from which a seasonally representative mean baseflow is derived and scaled using a dimensionless factor to define the seasonal event threshold. Flow distribution characteristics are evaluated to support threshold interpretation and ensure consistency across varying hydrologic conditions. An event is defined when discharge exceeds the seasonal threshold, increases by at least 20 percent relative to the previous time step, and ends when flow returns to or below the threshold for two consecutive time steps. A web-based tool was developed to implement the framework, compute event-scale metrics, and generate reproducible event identifiers. The method produced consistent and repeatable separation of event and base flow while reducing subjective judgment inherent in existing approaches. Overall, this structured and physically grounded procedure enhances event-scale hydrologic assessment in subsurface drainage systems and supports improved evaluation of nutrient losses under variable climatic conditions.