1996
DOI: 10.1080/00221689609498766
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A numerical model for assessing the additional resistance to flow introduced by flexible vegetation

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Cited by 105 publications
(63 citation statements)
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“…Their canopy model, however, did not include buoyancy, inertia, and vertical motion of the plants; thus, it did not reflect the actual height of the canopy. Kutija & Hong (1996) presented a steady-state 1-dimensional numerical model for vertical direction, to study the additional resistance to flow provided by flexible reeds. This model addressed the height of the canopy, but it was not calibrated or verified and it did not include the interaction of plants with the flow.…”
Section: Introductionmentioning
confidence: 99%
“…Their canopy model, however, did not include buoyancy, inertia, and vertical motion of the plants; thus, it did not reflect the actual height of the canopy. Kutija & Hong (1996) presented a steady-state 1-dimensional numerical model for vertical direction, to study the additional resistance to flow provided by flexible reeds. This model addressed the height of the canopy, but it was not calibrated or verified and it did not include the interaction of plants with the flow.…”
Section: Introductionmentioning
confidence: 99%
“…It produced the same general trends as in field measurements but missed the observed minima in kinetic energy. Kutija & Hong (1996) presented a steady-state, 1-dimensional numerical model for the vertical direction to study the additional resistance to flow provided by flexible reeds. The model was uncalibrated and unverified, and it did not include the interaction of plants with flow.…”
Section: Introductionmentioning
confidence: 99%
“…Modeling can be an inexpensive way of predicting some of the ecological implications under various scenarios of plant physiology, current, and sedimentation. Unfortunately, modeling flow in and above SAV lags far behind experiments describing the flow, and few models tackle this issue (Kutija & Hong 1996, Schutten & Davey 2000, Verduin & Backhaus 2000. Schutten & Davey (2000) used regression analysis of laboratory measurements to predict the hydraulic drag forces on various kinds of plants from a species-specific coefficient multiplied by the plant biomass times velocity to the 1.5 power.…”
Section: Introductionmentioning
confidence: 99%
“…Jones et al (2008) demonstrated that in-channel vegetation restructures hyporheic flow patterns by creating temporally dynamic deviations of hydraulic gradients. Certainly, in-channel vegetation increases the friction factor (Kutija and Hong, 1996;Harvey et al 2003), but Worman et al 2004 and Kjellin et al 2007 also observe that the spatial distribution of vegetation often leads to a channeling flow patterns and the creation of low flow areas that increase 10 water residence time (Section 4.5.1) Ensign et al, 2005). This aspect has been observed especially in streams with extensive vegetation where flow can decrease to zero within the stands, the volumetric capacity of the storage changes as HEF do Ensign et al, 2005).…”
Section: Ecological Factors: In-channel Vegetationmentioning
confidence: 99%