作者: Iulia A. Barbu , Thomas P. Ballestero
DOI: 10.1061/(ASCE)IR.1943-4774.0000766
关键词: Hydraulic conductivity 、 Environmental science 、 Systems management 、 Drainage 、 Hydrograph 、 Low-impact development 、 Surface runoff 、 Environmental engineering 、 Sand filter 、 Bioretention
摘要: AbstractMoisture retention relationships for coarse, high-infiltration soils are difficult to empirically determine and estimate. Present day software models stormwater management (SWM) that used as sizing performance prediction tools filtration Low Impact Development-Stormwater Management (LID-SWM) systems typically assume these function under saturated flow conditions. This directly impacts of system drainage hydrographs, well the estimates physically-based water quality improvement. Yet real-time monitoring demonstrated saturation filter media is rarely achieved. article presents a framework obtaining moisture curves (MRC) relative hydraulic conductivity Kr(θ) engineered other control in four LID-SWM systems: pervious pavement, sand filter, subsurface gravel wetland, bioretention. These functions needed routing through me...