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Computational Fluid Dynamics Simulation of Airflow Through Standing Vegetation

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Computational Fluid Dynamics Simulation of Airflow Through Standing Vegetation COMPUTATIONAL FLUID DYNAMICS SIMULATION OF AIRFLOW THROUGH STANDING VEGETATION H. B. Gonzales, J. Tatarko, M. E. Casada, R. G. Maghirang, L. J. Hagen, C. J. Barden HIGHLIGHTS Measured airflow through a simulated canopy was successfully modeled using CFD software. Effective drag coefficients did not differ between the experimental and simulated results. Results of this study provide 3-D simulation data of wind flow through a plant canopy. ABSTRACT. Maintaining vegetative cover on the soil surface is the most widely used method for control of soil loss by wind erosion. We numerically modeled airflow through artificial standing vegetation (i.e., simulated wheat plants) using compu- tational fluid dynamics (CFD). A solver (simpleFoam within the OpenFOAM software architecture) was used to simulate airflow through various three-dimensional (3D) canopy structures in a wind tunnel, which were created using another open- source CAD geometry software (Salomé ver. 7.2). This study focused on two specific objectives: (1) model airflow through standing vegetation using CFD, and (2) compare the results of a previous wind tunnel study with various artificial vegetation configurations to the results of the CFD model. Wind speeds measured in the wind tunnel experiment differed slightly from the numerical simulation using CFD, especially near positions where simulated vegetation was present. Effective drag coefficients computed using wind profiles did not differ significantly (p <0.05) between the experimental and simulated results. Results of this study will provide information for research into other types of simulated stubble or sparse vegetation during wind erosion events. Keywords. 3-D canopy structure, OpenFOAM, Wind erosion, Wind tunnel studies. ind erosion poses a significant risk to agricul- land degradation and conversion (Li et al., 2005), and dry tural lands despite numerous mitigation strat- land conditions (Musick and Gillette, 1990; Toure et al., egies employed for its control. One such con- 2011). These are all conditions that make the soil surface W trol strategy is the maintenance of vegetation vulnerable to wind erosion. cover. When vegetation is sparse, standing residue is signif- Previous studies have used wind tunnels to identify pa- icantly more effective than flat residue for wind erosion con- rameters and processes that influence wind erosion. Lyles trol (Hagen, 1996). Wind erosion studies have focused on and Allison (1976) compared spacings and orientations of the effects of sparse vegetation after harvesting (Wolfe and standing stubble for mitigating wind erosion. Their study Nickling, 1993; Lancaster and Baas, 1998; He et al., 2017), showed that a stubble row orientation perpendicular to the wind was more effective than a parallel orientation for shel- tering against wind erosion. Densities of simulated plant Submitted for review in April 2019 as manuscript number NRES 13449; stalks with various diameters and heights were employed by approved for publication as a Research Article by the Natural Resources & van de Ven et al. (1989), who reported up to 82% reduction Environmental Systems Community of ASABE in October 2019. in soil loss due to the presence of stalks. Hagen and Arm- Mention of company or trade names is for description only and does not imply endorsement by the USDA. The USDA is an equal opportunity brust (1994) proposed a theoretical approach, including sur- provider and employer. face friction velocity reduction and interception of saltation The authors are Howell B. Gonzales, Former Graduate Research in standing stalks, to predict the amount of soil loss. They Assistant, Department of Biological and Agricultural Engineering, Kansas found a correlation (R2 = 0.89) between soil loss reduction State University, Manhattan, Kansas; John Tatarko, Soil Scientist, USDA- ARS Rangeland Resources and Systems Research Unit, Fort Collins, and the plant area index of stalks. Standing sticks were used Colorado; Mark E. Casada, Research Agricultural Engineer, USDA-ARS in a wind tunnel study by Dong et al. (2001) to demonstrate Stored Product Insect and Engineering Research Unit, Manhattan, Kansas; that the height and density of standing vegetation influence Ronaldo G. Maghirang, Professor, Department of Biological and the roughness length and drag coefficient. They also de- Agricultural Engineering, Kansas State University, Manhattan, Kansas; Lawrence J. Hagen, Research Agricultural Engineer (Retired), USDA- duced that the height/spacing ratio is the most essential ARS Stored Product Insect and Engineering Research Unit, Manhattan, structural parameter that influences drag coefficients and Kansas; Charles J. Barden, Professor, Department of Horticulture and roughness lengths. In wind tunnel studies of simulated Natural Resources, Kansas State University, Manhattan, Kansas. Corresponding author: John Tatarko, USDA-ARS RRSRU, 2150 Centre broadleaf (e.g., soybean) canopies with varying leaf distri- Avenue, Bldg. D, Suite 200, Fort Collins, CO 80526; phone: 970-492-7320; bution by height, Hagen and Casada (2013) found that can- e-mail: [email protected]. Transactions of the ASABE Vol. 62(6): 1713-1722 2019 American Society of Agricultural and Biological Engineers ISSN 2151-0032 https://doi.org/10.13031/trans.13449 1713 opy leaf area index (LAI) was directly related to threshold re-normalization group (RNG) k- turbulence model and as- velocity and inversely related to sand transport capacity. The sessed the effects of gaps and rows between trees. Guo and canopies modified both the wind profile and the normalized Maghirang (2012) compared the experimental values of Ti- abrasion energy of the sand discharge when compared with wary et al. (2005) to CFD simulations using the standard k- a bare sandy surface. Vegetation density was also found by and realizable k- turbulence closure models; they found Gonzales et al. (2017) to be directly related to threshold ve- good agreement between the two models. locity and inversely related to sand discharge. The presence Open-source CFD software, such as OpenFOAM, has of vegetation was found to be effective in minimizing abra- gained popularity in many disciplines because of the high sion of standing vegetation models by lowering the saltation cost of commercial CFD packages. Lysenko et al. (2013) re- of sand particles that could impact the simulated plants. ported that the performances of FLUENT and OpenFOAM Field studies have also been conducted to determine the were comparable in simulating flows across a bluff body. effects of vegetated surfaces on wind erosion. Stockton and Higuera et al. (2013) used OpenFOAM to validate a newly Gillette (1990) evaluated three test sites. They found that developed wave generation and active absorption boundary dense vegetation resulted in large sheltered areas, as evi- condition. They found that water waves were generated re- denced by the small ratios of threshold friction velocities for alistically, and the agreement between laboratory and nu- a vegetated surface over a bare soil surface. Their measure- merical data was very high regarding wave breaking, run up, ments showed that the ratios ranged from 0.27 to 0.44, in and undertow currents. Bonifacio et al. (2014) compared the which a value of 1.0 denotes a bare sand configuration. Li et results of AERMOD and OpenFOAM in simulating particle al. (2005) conducted a study in China which showed that transport from a ground-level source. They found that the early stages of vegetation were more prone to wind erosion two models responded similarly to effects of atmospheric on degraded grasslands, while established grasses showed stability and wind speed. greater resistance to wind erosion. They found that the wind Most CFD studies of wind flow through vegetation have erosion reduction on fixed (vegetated) land was 1/47 been made on windbreaks, with few, if any, conducted (2.13%) of that on shifting (loose and bare) sandy land. within crop plant canopies. In this study, we used CFD to Field measurements should ensure realistic surface con- numerically model the airflow through artificial standing ditions (Fryrear et al., 1991), whereas with wind tunnels, it vegetation (i.e., simulated wheat plants) that were previously is necessary to control the meteorological and surface pa- measured by Gonzales et al. (2017). A specific solver of the rameters (e.g., wind speed, soil type, vegetation element OpenFOAM architecture (simpleFoam) was used to simu- type, and vegetation configuration). Both field and wind tun- late airflow through a 3D canopy structure in the wind tun- nel testing are expensive and time-consuming. Numerical nel. A numerical representation of the 3D canopy was cre- simulation, such as computational fluid dynamics (CFD), ated using another open-source CAD geometry software combined with sufficient validation, has provided an alter- (Salomé ver. 7.2) to address the following objectives: native approach in a wide range of research (Politis et al., 1. Model airflow through multiple standing vegeta- 2008; Qiao and Liu, 2008; Defraeye et al., 2010; Bonifacio tion canopy configurations using open-source CFD et al., 2014). software. Numerical simulation of various types of vegetation (nat- 2. Compare the results of a previous wind tunnel study ural and artificial) using commercially available CFD soft- with various artificial vegetation configurations to ware (e.g., Fluent) has been studied extensively. Tiwary et the results of the CFD model. al. (2005) used the shear stress transport
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