A Numerical Study of the Effect of Vegetative Windbreak on Wind Erosion over Complex Terrain

Hao, Li; Yan, Zengfeng; Zhang, Zhengmo; Lang, Jiachen; Wang, Xudong

doi:10.3390/f13071072

Cited by 4 publications

(4 citation statements)

References 49 publications

(62 reference statements)

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“…The fact that the shelterbelt at the bottom has a 1.2 m open trunk space is reflected in the observational data simulation results in this region of the lee side flow. These simulation results are consistent with those of other simulations[28,29].Atmosphere 2024, 15, x FOR PEER REVIEW 10 of 17…”

supporting

confidence: 90%

“…However, LES models usually use a large number of computation grids and require more computational resources when compared with the steady RANS model. In recent years, NSE-based LES models were employed by several researchers [25][26][27][28][29] for turbulent flows in and around wind barriers.…”

Section: Introductionmentioning

confidence: 99%

“…The observed wind profiles (Figure1) are placed at the y = 0 m, which is the vertical xz symmetry plane in Figure2. In this simulation, the grid lengths were ∆x = ∆y = ∆z = 1 m. The vegetation element density A = 1.18 m −1 was used in this simulation, according to methods provided in the literature[28,29,48].…”

mentioning

confidence: 99%

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A GPU-Implemented Lattice Boltzmann Model for Large Eddy Simulation of Turbulent Flows in and around Forest Shelterbelts

Wang,

Zeng,

Decker

et al. 2024

Atmosphere

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Using porous wind barriers for the microclimate modification of agricultural lands, urban areas, and surrounding roads is a ubiquitous practice. This study establishes a new method for numerically modeling the turbulent flow in and around forest shelterbelts using an advanced multiple-relaxation-time lattice Boltzmann model (MRTLBM). A detailed description is presented for a large eddy simulation (LES) of turbulent winds by implementing barrier element drag force in the MRTLBM framework. The model results for a forest shelterbelt are compared with a field observational dataset. The study indicated that our implementation of drag force in MRTLBM is an accurate method for modeling turbulent flows in and around forest patches. Sensitivity analyses of turbulent flow related to the shelterbelt structure parameters and wind directions are also carried out. The analysis indicated that the optimal wind shelter effect in reducing the mean wind speed and turbulent kinetic energy is maximized using a narrow, medium porosity shelterbelt, with the wind direction perpendicular to the shelterbelt. These conclusions are in agreement with other observational and modeling studies. Finally, the computational time of a central processing unit (CPU) and graphics processing unit (GPU) was compared for a large domain with 25 million grids to demonstrate the MRTLBM advantage of LES in regards to computational speed with a mixed forest and building environment. The GPU is approximately 300 times faster than a CPU, and real-time simulation for this large domain is achieved using the Nvidia V100 GPU.

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confidence: 90%

Section: Introductionmentioning

confidence: 99%

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A GPU-Implemented Lattice Boltzmann Model for Large Eddy Simulation of Turbulent Flows in and around Forest Shelterbelts

Wang,

Zeng,

Decker

et al. 2024

Atmosphere

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“…As a producer of the terrestrial ecosystem, vegetation is closely related to natural environmental elements such as climate, soil, topography, and water resources [1]. It plays a crucial role in water conservation [2], soil erosion prevention [3], wind and sand control [4], and ecosystem stability [5]. Therefore, studying vegetation cover in different areas is crucial for ecological conservation in the region.…”

Section: Introductionmentioning

confidence: 99%

Study on the Spatial and Temporal Evolution of NDVI and Its Driving Mechanism Based on Geodetector and Hurst Indexes: A Case Study of the Tibet Autonomous Region

et al. 2023

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The Tibet Autonomous Region (TAR) is located in the mid-latitude and high-cold regions, and the ecological environment in most areas is fragile. Studying its surface vegetation coverage can identify the ecosystem’s development trends and provide a specific contribution to global environmental change. The normalized difference vegetation index (NDVI) can better reflect the coverage of surface vegetation. Therefore, based on remote sensing data with a resolution of 1 km2, air temperature, precipitation, and other data in the same period in the study area from 1998 to 2019, this paper uses trend analysis, F-significance tests, the Hurst index, and the Geodetector model to obtain the spatial distribution, change characteristics, and evolution trends of the NDVI in the TAR in the past 22 years. At the same time, the quantitative relationship between natural and human factors and NDVI changes is also obtained. The study results show that the NDVI in the southern and southeastern parts of the TAR is higher, with mean values greater than 0.5 showing that vegetation cover is better. The NDVI in the western and northwestern parts of the TAR is lower, with mean values less than 0.3, indicating vegetation cover is worse. NDVI in the TAR showed an overall increasing trend from 1998 to 2019 but a decreasing trend in ridgelines, snow cover, and glacier-covered areas. The areas where NDVI values show a trend of increasing and then decreasing in the future account for 53.69% of the total area of the TAR. The most crucial factor affecting NDVI changes in the TAR is soil type, followed by influencing factors such as vegetation cover type, average annual air temperature, and average annual precipitation. The influence of natural elements is generally more significant than anthropogenic factors. The influencing factors have synergistic effects, and combining anthropogenic factors and other factors will show mutual enhancement and non-linear enhancement relationships. This study provides a theoretical basis for natural resource conservation, ecosystem restoration, and sustainable human development strategies in the TAR.

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Long-term evaluation of surface topographic and topsoil grain composition changes in an agricultural landscape

Halászová,

Lackóová,

Panagopoulos

2024

Front. Environ. Sci.

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Understanding long-term changes in topography and topsoil grain composition is crucial for the management of agricultural landscapes, especially in areas prone to wind erosion. This study investigates long-term changes in topography and topsoil grain composition within an agricultural landscape in south-western Slovakia. To analyse topographic changes over time, we used high-precision positioning measurements and airborne laser scanning to create digital terrain models (DTM) for the years 2011, 2017 and 2020. To assess changes in soil grain composition, we performed grain size analyses on soil samples collected during three different periods: M1 (1961–1970), M2 (2009–2015) and M3 (2015–2016). Changes in soil texture were evaluated to understand the impact of wind erosion on soil composition. The influence of windbreaks was also analysed by comparing the accumulation and deflation processes. The results showed significant changes in both topography and soil texture over the study period. The DTMs showed marked differences in the accumulation and deflation processes, highlighting areas affected by wind erosion. Comparisons of soil samples showed a shift in dominant soil types from loam and clay loam to silty loam, highlighting the effects of wind erosion. Analysis revealed a decrease in clay and silt content and an increase in sand content, indicating wind-induced soil degradation. The presence of windbreaks played a crucial role in reducing soil erosion by reducing wind speed, promoting soil accumulation and stabilising the landscape up to 80 m windward and 20 m leeward. The study highlights the complex interplay of climate and wind factors in shaping topography and soil properties and emphasises the protective role of windbreaks in agricultural landscapes over time. Our results show that wind erosion significantly alters soil texture, which can affect agricultural productivity. However, windbreaks have proven to be an effective measure in reducing soil erosion and maintaining soil quality.

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A Numerical Study of the Effect of Vegetative Windbreak on Wind Erosion over Complex Terrain

Cited by 4 publications

References 49 publications

A GPU-Implemented Lattice Boltzmann Model for Large Eddy Simulation of Turbulent Flows in and around Forest Shelterbelts

A GPU-Implemented Lattice Boltzmann Model for Large Eddy Simulation of Turbulent Flows in and around Forest Shelterbelts

Study on the Spatial and Temporal Evolution of NDVI and Its Driving Mechanism Based on Geodetector and Hurst Indexes: A Case Study of the Tibet Autonomous Region

Long-term evaluation of surface topographic and topsoil grain composition changes in an agricultural landscape

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