Comparison of the Weibull Model With Measured Wind Speed Distributions for Stochastic Wind Generation

Donk, S. J. van; Wagner, Larry E.; Skidmore, E. L.; Tatarko, John

doi:10.13031/2013.18324

Cited by 41 publications

(21 citation statements)

References 15 publications

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“…(), Zobeck (), and van Donk et al . (). We believe the lack of long‐term and continuous measurements of wind erosion has suppressed attempts to validate the entire WEPS, although lack of weather data (e.g.…”

Section: Introductionmentioning

confidence: 97%

Wind erosion and dust emissions in central Asia: Spatiotemporal simulations in a typical dust year

Sharratt²,

Lei

2018

Earth Surf Processes Landf

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The prediction of wind erosion and dust emissions is important for controlling erosion and identifying dust sources in arid and semiarid regions of the world. This study predicts quantitatively wind erosion and dust emissions in Xinjiang Province, central Asia. The wind erosion prediction system (WEPS) was used to simulate annual soil and PM10 (particulate matter ≤10 μm in aerodynamic diameter) loss at 64 meteorological stations across the province. Soil and PM10 loss were simulated from bare surfaces at all 64 stations and from cotton and wheat fields at 11 stations. Simulated annual bare soil and PM10 loss were lowest in the Junggar (soil and PM10 loss were, respectively, 121.7 and 7.6 kg m‐2) and Tarim basins (soil loss was 78.2 kg ha‐1 and PM10 loss was 6.5 kg m‐2) and highest in the Tu‐ha Basin (soil and PM10 loss were, respectively, 638.2 and 37.7 kg m‐2). Stations with the highest annual soil loss in the Tarim and Tu‐ha basins also had the highest number of days with wind speeds >8 m s‐1. This indicated wind influenced erosion, but other factors such as soil type also affect wind erosion. The maximum monthly bare soil and PM10 loss occurred in May in the three basins, substantiating that dust storms occur most frequently during spring in the region. Simulated soil and PM10 loss were lower for cotton and wheat than bare soil, thus suggesting that maintaining vegetative cover during a portion of the year provided some protection to the soil surface from wind erosion. © 2018 John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 97%

Wind erosion and dust emissions in central Asia: Spatiotemporal simulations in a typical dust year

Sharratt²,

Lei

2018

Earth Surf Processes Landf

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“…While this method does not take into account seasonal storminess, we chose this to subject a headland embayment to constant storminess and thus determine the physical effect these persistent conditions have on sediment transport onshore, regardless of storm season. Wind speed randomly varied at the same temporal frequency based on a Weibull distribution of the bounds listed above (Figure 6(b)), common of wind speed distributions at many coasts (Tuller and Brett, 1984;Van Donk et al, 2005;Kidmo et al, 2015). those blowing from onshore to offshore) were ignored, as were across-shore winds (i.e.…”

Section: Initial Conditionsmentioning

confidence: 99%

Sediment accumulation in embayments controlled by bathymetric slope and wave energy: Implications for beach formation and persistence

Preston

Hurst

Mudd

et al. 2018

Earth Surf Processes Landf

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High energy, rocky coastlines often feature sandy beaches within headland‐bound embayments. Not all such embayments have beaches however, and beaches in embayments can be removed by storms and may subsequently reform. What dictates the presence or absence of an embayed beach and its resilience to storms? In this paper, we explore the effect of offshore slope and wind conditions on nearshore sediment transport within idealised embayments to give insight into nearshore sediment supplies. We use numerical simulations to show that sand can accumulate near shore if the offshore slope is >0.025 m/m, but only under persistent calm conditions. Our modelling also suggests that if sediment in an embayment with an offshore gradient steeper than 0.025 m/m is removed during a period of persistent stormy conditions, it will be unlikely to return in sub‐decadal timescales. In contrast, sediment located in embayments with shallower gradients can reform swiftly in both calm and stormy conditions. Our findings have wide implications for contemporary coastal engineering in the face of future global climate change, but also for Quaternary environmental reconstruction. Our simple method to predict beach stability based on slope can be used to interpret differing responses of embayments to periods of changing coastal storminess such as the medieval climate anomaly‐little ice age (MCA‐LIA) transition. © 2018 The Authors. Earth Surface Processes and Landforms published by John Wiley & Sons Ltd.

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“…aAverage annual wind energy as stochastically simulated by Windgen, the WEPS wind generator (van Donk et al, 2005). …”

Section: Figmentioning

confidence: 99%

Application of the WEPS and SWEEP models to non-agricultural disturbed lands

Tatarko¹,

Donk

Ascough

et al. 2016

Heliyon

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Wind erosion not only affects agricultural productivity but also soil, air, and water quality. Dust and specifically particulate matter ≤10 μm (PM-10) has adverse effects on respiratory health and also reduces visibility along roadways, resulting in auto accidents. The Wind Erosion Prediction System (WEPS) was developed by the USDA-Agricultural Research Service to simulate wind erosion and provide for conservation planning on cultivated agricultural lands. A companion product, known as the Single-Event Wind Erosion Evaluation Program (SWEEP), has also been developed which consists of the stand-alone WEPS erosion submodel combined with a graphical interface to simulate soil loss from single (i.e., daily) wind storm events. In addition to agricultural lands, wind driven dust emissions also occur from other anthropogenic sources such as construction sites, mined and reclaimed areas, landfills, and other disturbed lands. Although developed for agricultural fields, WEPS and SWEEP are useful tools for simulating erosion by wind for non-agricultural lands where typical agricultural practices are not employed. On disturbed lands, WEPS can be applied for simulating long-term (i.e., multi-year) erosion control strategies. SWEEP on the other hand was developed specifically for disturbed lands and can simulate potential soil loss for site- and date-specific planned surface conditions and control practices. This paper presents novel applications of WEPS and SWEEP for developing erosion control strategies on non-agricultural disturbed lands. Erosion control planning with WEPS and SWEEP using water and other dust suppressants, wind barriers, straw mulch, re-vegetation, and other management practices is demonstrated herein through the use of comparative simulation scenarios. The scenarios confirm the efficacy of the WEPS and SWEEP models as valuable tools for supporting the design of erosion control plans for disturbed lands that are not only cost-effective but also incorporate a science-based approach to risk assessment.

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Comparison of the Weibull Model With Measured Wind Speed Distributions for Stochastic Wind Generation

Cited by 41 publications

References 15 publications

Wind erosion and dust emissions in central Asia: Spatiotemporal simulations in a typical dust year

Wind erosion and dust emissions in central Asia: Spatiotemporal simulations in a typical dust year

Sediment accumulation in embayments controlled by bathymetric slope and wave energy: Implications for beach formation and persistence

Application of the WEPS and SWEEP models to non-agricultural disturbed lands

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