Sand Transport by Wind on a Wet Sand Surface

Hotta, Shintaro; Kubota, Susuma; Katori, Sadakazu; Horikawa, Kiyoshi

doi:10.9753/icce.v19.86

Cited by 26 publications

(40 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Whether aeolian sediment transport is transport‐ or availability‐limited depends on the balance between the sediment transport capacity and the sediment availability that are both influenced by bed surface properties. In the literature various concepts to incorporate the influence of bed surface properties in aeolian sediment transport models can be found: the concept of the shear velocity threshold [e.g., Howard , ; Dyer , ; Belly , ; Johnson , ; Hotta et al , ; Nickling and Ecclestone , ; Arens , ]; the concept of critical fetch [e.g., Bauer and Davidson‐Arnott , ; Delgado‐Fernandez , ]; and the concept of explicit availability (or supply) [ de Vries et al , ]. …”

Section: Model Concepts: Sediment Availability Saturated Transport mentioning

confidence: 99%

“…Typical bed surface properties that are found along the coast and assumed to explain at least partially the poor performance of aeolian sediment transport models are high moisture contents [e.g., Wiggs et al , ; Davidson‐Arnott et al , ; Darke and McKenna Neuman , ; McKenna Neuman and Sanderson , ; Udo et al , ; Bauer et al , ; Edwards and Namikas , ; Namikas et al , ; Scheidt et al , ], salt crusts [e.g., Nickling and Ecclestone , ], bed slopes [e.g., Iversen and Rasmussen , ], vegetation [e.g., Arens , ; Lancaster and Baas , ; Okin , ; Li et al , ; Dupont et al , ], shell pavements [e.g., van der Wal , ; McKenna Neuman et al , ], and sorted and armored beach surfaces [e.g., Gillette and Stockton , ; Gillies et al , ; Tan et al , ; Cheng et al , ]. The influence of these bed surface properties on aeolian sediment transport has been investigated and often resulted in modified values for the velocity threshold [e.g., Howard , ; Dyer , ; Belly , ; Johnson , ; Hotta et al , ; Nickling and Ecclestone , ; Arens , ; King et al , ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A process‐based model for aeolian sediment transport and spatiotemporal varying sediment availability

Hoonhout

Vries

2016

JGR Earth Surface

View full text Add to dashboard Cite

Aeolian sediment transport is influenced by a variety of bed surface properties, like moisture, shells, vegetation, and nonerodible elements. The bed surface properties influence aeolian sediment transport by changing the sediment transport capacity and/or the sediment availability. The effect of bed surface properties on the transport capacity and sediment availability is typically incorporated through the velocity threshold. This approach appears to be a critical limitation in existing aeolian sediment transport models for simulation of real-world cases with spatiotemporal variations in bed surface properties. This paper presents a new model approach for multifraction aeolian sediment transport in which sediment availability is simulated rather than parameterized through the velocity threshold. The model can cope with arbitrary spatiotemporal configurations of bed surface properties that either limit or enhance the sediment availability or sediment transport capacity. The performance of the model is illustrated using four prototype cases, the simulation of two wind tunnel experiments from literature and a sensitivity analysis of newly introduced parameters.

show abstract

Section: Model Concepts: Sediment Availability Saturated Transport mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A process‐based model for aeolian sediment transport and spatiotemporal varying sediment availability

Hoonhout

Vries

2016

JGR Earth Surface

View full text Add to dashboard Cite

show abstract

“…Horizontal flux ( H ) is defined by where ν is the vegetation fraction, ρ is the air density, g is the acceleration due to gravity, U * is the surface layer friction velocity, and U * t is the threshold friction velocity where A , B , and C are empirical constants; D rep is a bin particle diameter, and W is the 10 cm deep soil moisture. The use of a linear dependence on soil moisture is taken from Hotta et al [1984].…”

Section: Description Of the Camm And The Dust Schemementioning

confidence: 99%

Aerosol optical depths over North Africa: 2. Modeling and model validation

Greed¹,

Haywood²,

Milton³

et al. 2008

J. Geophys. Res.

View full text Add to dashboard Cite

[1] An operational dust forecasting model is developed by including the Met Office Hadley Centre climate model dust parameterization scheme, within a Met Office regional numerical weather prediction (NWP) model. The model includes parameterizations for dust uplift, dust transport, and dust deposition in six discrete size bins and provides diagnostics such as the aerosol optical depth. The results are compared against surface and satellite remote sensing measurements and against in situ measurements from the Facility for Atmospheric Airborne Measurements for a case study when a strong dust event was forecast. Comparisons are also performed against satellite and surface instrumentation for the entire month of August. The case study shows that this Saharan dust NWP model can provide very good guidance of dust events, as much as 42 h ahead. The analysis of monthly data suggests that the mean and variability in the dust model is also well represented.

show abstract

“…Availability can be restricted by a raised threshold value caused by moisture (e.g. Hotta et al ., 1984 ) and surface binding or cementation (e.g. Nickling & Ecclestone, 1981; Nickling, 1984).…”

Section: Sediment Supply Availability and Transport Capacitymentioning

confidence: 99%

Aeolian system sediment state: theory and Mojave Desert Kelso dune field example

1999

View full text Add to dashboard Cite

The sediment state of aeolian dune ®elds and sand seas at a basinal scale is de®ned by the separate components of sediment supply, sediment availability and the transport capacity of the wind. The sediment supply for aeolian systems is the sediment that contemporaneously or at some later point serves as the source material for the aeolian system. Numerous factors impact the susceptibility of grains on a surface to transport, but these are cumulatively manifested by the actual transport rate, which serves as a proxy for sediment availability. Transport capacity is the potential sediment transport rate of the wind. Because the three aspects of sediment state can be given as a volumetric rate, they are directly comparable. Plotted simultaneously against time, the generated curves de®ne nine possible classes of sediment state. Sediment supply that is stored occurs because it is transport or availability limited, or generated at a rate greater than the potential or actual transport rates respectively. Contemporaneous or lagged in¯ux to an aeolian system may be limited by sediment availability, but cannot exceed the transport capacity of the wind. For the Kelso dune ®eld in the Mojave Desert of California, a variety of stratigraphic and geomorphic evidence is used to approximate the sediment state of the system. The sediment supply was generated during the latest Pleistocene and earliest Holocene during humid periods of enhanced discharge by the Mojave River to form the Lake Mojave fan delta or terminal fan, and has been calculated over time from the sedimentation rate and the frequency of oods. Estimation of transport capacity over time was based upon modern wind data, with an allowance for greater winds during the Pleistocene based upon climatic models. Sediment availability was approximated by calculation of a modern dune mobility index, with variation over time based upon climatic inferences. While quantifying the Kelso or any natural system is subject to numerous uncertainties, the sediment state approach re¯ects the temporal and spatial disjointed nature of accumulations at Kelso, as well as illuminating questions for future research.

show abstract

Sand Transport by Wind on a Wet Sand Surface

Cited by 26 publications

References 5 publications

A process‐based model for aeolian sediment transport and spatiotemporal varying sediment availability

A process‐based model for aeolian sediment transport and spatiotemporal varying sediment availability

Aerosol optical depths over North Africa: 2. Modeling and model validation

Aeolian system sediment state: theory and Mojave Desert Kelso dune field example

Contact Info

Product

Resources

About