1976
DOI: 10.13031/2013.36095
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Suspended Sediment Filtration Capacity of Simulated Vegetation

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Cited by 92 publications
(64 citation statements)
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“…Tollner et al [47] estimated the settling rate of suspended sediments using the probabilistic concept of the particle fall number (N f ), which is the ratio of falling time of soil particles to traveling time along the flow direction of an element. To calculate the particle fall number, the runoff flow velocity (v; m s −1 ) and settling velocity of each particle size class (v s ; m s −1 ) are required.…”
Section: Gravitational Deposition Of Suspended Sedimentsmentioning
confidence: 99%
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“…Tollner et al [47] estimated the settling rate of suspended sediments using the probabilistic concept of the particle fall number (N f ), which is the ratio of falling time of soil particles to traveling time along the flow direction of an element. To calculate the particle fall number, the runoff flow velocity (v; m s −1 ) and settling velocity of each particle size class (v s ; m s −1 ) are required.…”
Section: Gravitational Deposition Of Suspended Sedimentsmentioning
confidence: 99%
“…Using the particle fall number of each particle size class, the rate of deposition of the sediments suspended in runoff (DEP) is estimated from the equation of Tollner et al [47], as below,…”
Section: Gravitational Deposition Of Suspended Sedimentsmentioning
confidence: 99%
“…Factors other than width and sediment input that are important in dictating the efficiency of VBS for reducing sediments are micro-and macro-re lief, vegetation density and type which dictates hydraulic resistance, litter characteristics, soil characteristics (especially infiltration), particle size distribution of Lynch & Corbett, 1990Brazier & Brown, 1973 Karr &Schlosser, 1977 andGough, 1988) • Ran^e dependent on slope; see Karr & Schlosser, 1977. incoming sediments, subsurface drainage, slope, and temporal distribution of contributed sediment loads (Gough, 1988). Several management models for estimating sediment erosion have been suggested for specific conditions, and geographical locahons including those by Trimble & Sartz (1957), Haupt (1959), Tollner et al (1976), Foster (1982, Wong & McCuen (1981), Barton & Taylor (1985), and Barfield, Tollner & Hayes (1979). Despite the obvious complexity of the sedimentfiltering process, the results from numerous field studies, including those reviewed by Karr & Schlosser (1977), indicate that fairly narrow strips of riparian vegetation can reduce sediment input to surface water (Table 2).…”
Section: Sediment Reductionmentioning
confidence: 99%
“…These researchers found that VFS buffers can significantly improve water quality of runoff. Webber et al (2009) also found VFS buffers significantly reduced runoff, sediment, and nutrient losses from the central Iowa windrow composting research site used as a source of observed runoff volume data for this hydrologic modeling study.Hydrologic models have been used for over 30 years to simulate sediment and nutrient transport in surface runoff through various natural and simulated vegetation systems, including VFS buffers (Tollner et al 1976;Delgado et al 1992;Srivastava et al 1998). However, few reports exist regarding the use of hydrologic models for predicting runoff losses from windrow composting sites.…”
mentioning
confidence: 99%