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http://dx.doi.org/10.7848/ksgpc.2017.35.6.545

Applicability of Wind-Vegetation Model in Small Scale Sand Dunes  

Choi, Seok Keun (Dept. of Civil Engineering, Chungbuk National University)
Choi, Jae Wan (Dept. of Civil Engineering, Chungbuk National University)
Park, Sang Wook (Dept. of Civil Engineering, Chungbuk National University)
Jung, Sung Heuk (Terrapix)
Lee, Soung Ki (Terrapix)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.35, no.6, 2017 , pp. 545-552 More about this Journal
Abstract
Aeolian dunes are typical sand dunes which are maintained and developed by interactions of earth surface, wind and vegetation. Developing a model which can predict the changing phenomena of these sand dunes is vital in enhancing the efficiency of understanding and management of terrains such as land degradation. In the existing models, however, there is lack of studies on the long - term behaviors of the sand dunes and application to actual topography. Therefore, this study applied the wind-vegetation model considering vegetation to the actual topography and analyzed the applicability of the wind-vegetation model by analyzing the long-term behaviors and comparing them with actual data. Through analysis, study found out that use of wind-vegetation model and data from unmanned aerial vehicle is effective in analyzing the changes of actual dune topography. Except for the boundary, the error of about 1m was generated compared with the change of the actual dune topography.
Keywords
Aeolian Dunes; Wind-Vegetation Model; Unmanned Aerial Vehicle; Sediment Sand Dunes;
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Times Cited By KSCI : 3  (Citation Analysis)
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1 Nishimori, H., Yamasaki, M., and Andersen, K.H. (1998), A simple model for the various pattern dynamics of dunes, International Journal of Modern Physics, Vol. 12, No. 3, pp. 257-272.   DOI
2 Okin, G.S. and Gillette, D.A. (2001), Distribution of vegetation in wind-dominated landscapes: Implications for wind erosion modeling and landscape processes, Journal of Geophysical Research: Atmospheres, Vol. 106, No. 9, pp. 9673-9683.   DOI
3 Pelletier, J.D., Mitasova, H., Harmon, R.S., and Overton, M. (2009), The effects of interdune vegetation changes on eolian dune field evolution: a numerical-modeling case study at Jockey's Ridge, North Carolina, USA, Earth Surface Processes and Landforms, Vol. 34, No. 9, pp. 1245-1254.   DOI
4 Stallins, J.A. (2005), Stability domains in barrier island dune systems, Ecological Complexity, Vol. 2, No. 4, pp. 410-430.   DOI
5 Stallins, J.A. and Parker, A.J. (2003), The influence of complex systems interactions on barrier island dune vegetation pattern and process, Annals of the Association of American Geographers, Vol. 93, No. 1, pp. 13-29.   DOI
6 Suter-Burri, K., Gromke, C., Leonard, K.C., and Graf, F. (2013), Spatial patterns of aeolian sediment deposition in vegetation canopies: Observations from wind tunnel experiments using colored sand, Aeolian Research, Vol. 8, No. 1, pp. 65-73.   DOI
7 Thomas, D.S.G., M. Knight, and G.F.S. Wiggs. (2005), Remobilization of southern African desert dune systems by twenty-first century global warming, Nature, Vol. 435, No. 7046, pp. 1218-1221.   DOI
8 Wiggs, G.F.S. and Weaver, C.M. (2012), Turbulent flow structures and aeolian sediment transport over a barchan sand dune, Geophysical research letters, Vol. 39, No. 5, pp. 1-7.
9 Wang, X., Yang, Y., Dong, Z., and Zhang, C. (2009), Responses of dune activity and desertification in China to global warming in the twenty-first century, Global and Planetary Change, Vol. 67, No. 3, pp. 167-185.   DOI
10 Werner, B.T. (1995), Eolian dunes: computer simulations and attractor interpretation, Geology, Vol. 23, No. 12, pp. 1107-1110.   DOI
11 De Castro, F. (1995), Computer simulation of the dynamics of a dune system, Ecological Modelling, Vol. 78, No. 3, pp. 205-217.   DOI
12 Baas, A.C. and Nield, J.M. (2007), Modelling vegetated dune landscapes, Geophysical Research Letters, Vol. 34, No. 6, pp. 1-5.
13 Barbier, N., Couteron, P., Lejoly, J., Deblauwe, V., and Lejeune, O. (2006), Self-organized vegetation patterning as a fingerprint of climate and human impact on semi-arid ecosystems, Journal of Ecology, Vol. 94, No. 3, pp. 537-547.   DOI
14 Beon, M.S. and Oh, H.K. (2006), Analysis of the Change of the Flora and Vegetation Association of Ui Island Sand Dune, Korean Journal of Environment and Ecology, Vol. 20, No. 1, pp. 41-51. (in Korean with English abstract)
15 Bishop, S.R., Momiji, H., Carretero-Gonzalez, R., and Warren, A. (2002), Modelling desert dune fields based on discrete dynamics, Discrete Dynamics in Nature and Society, Vol. 7, No. 1, pp. 7-17.   DOI
16 Choi, S.K., Lee, S.K., Jung, S.H., Choi, J.W., Choi, D.Y., and Chun, S.J. (2016), Estimation of Fractional Vegetation Cover in Sand Dunes Using Multi-spectral Images from Fixed-wing UAV, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 34, No. 4, pp. 431-441.   DOI
17 Choi, S.K., Kim, G.H., Choi, J.W., Lee, S.K., Jung, S.H., Choi, D.Y., and Chun, S.J. (2017), UAV-based Land Cover Mapping Technique for Monitoring Coastal Sand Dunes, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 35, No. 1, pp. 11-22.   DOI
18 D'Odorico, P., Bhattachan, A., Davis, K.F., Ravi, S., and Runyan, C.W. (2013), Global desertification: drivers and feedbacks, Advances in Water Resources, Vol. 51, No. 1, pp. 326-344.   DOI
19 Gillette, D.A., Herrick, J.E., and Herbert, G.A. (2006), Wind characteristics of mesquite streets in the northern Chihuahuan Desert, New Mexico, USA, Environmental Fluid Mechanics, Vol. 6, No. 3, pp. 241-275.   DOI
20 Katsuki, A., Nishimori, H., Endo, N., and Taniguchi, K. (2005), Collision dynamics of two barchan dunes simulated using a simple model, Journal of the Physical Society of Japan, Vol. 74, No. 2, pp. 538-541.   DOI
21 Leenders, J.K., Sterk, G., and Van Boxel, J.H. (2011), Modelling wind-blown sediment transport around single vegetation elements, Earth Surface Processes and Landforms, Vol. 36, No. 9, pp. 1218-1229.   DOI
22 Klose, M. and Shao, Y. (2012), Stochastic parameterization of dust emission and application to convective atmospheric conditions, Atmospheric Chemistry and Physics, Vol. 12, No. 1, pp. 3263-3293.
23 Kocurek, G., Ewing, R.C., and Mohrig, D. (2010), How do bedform patterns arise? New views on the role of bedform interactions within a set of boundary conditions, Earth Surface Processes and Landforms, Vol. 35, No. 1, pp. 51-63.   DOI
24 Lancaster, N., Nickling, W.G., and Gillies, J.A. (2010), Sand transport by wind on complex surfaces: Field studies in the McMurdo Dry Valleys, Antarctica, Journal of Geophysical Research: Earth Surface, Vol. 115, No. 3, pp. 1-10.
25 Li, J., Okin, G.S., Herrick, J.E., Belnap, J., Miller, M.E., Vest, K., and Draut, A.E. (2013), Evaluation of a new model of aeolian transport in the presence of vegetation, Journal of Geophysical Research: Earth Surface, Vol. 118, No. 1, pp. 288-306.   DOI
26 Liaw, A. and Wiener, M. (2002), Classification and regression by randomForest, R news, Vol. 2, No. 3, pp. 18-22.
27 Mayaud, J.R., Bailey, R.M., and Wiggs, G.F. (2017), A coupled vegetation/sediment transport model for dryland environments, Journal of Geophysical Research: Earth Surface, Vol. 122, No. 4, pp. 875-900.   DOI
28 Mayaud, J.R., Wiggs, G.F., and Bailey, R.M. (2016), Dynamics of skimming flow in the wake of a vegetation patch, Aeolian Research, Vol. 22, No. 1, pp. 141-151.   DOI
29 Nield, J.M. and Baas, A.C. (2008), Investigating parabolic and nebkha dune formation using a cellular automaton modelling approach, Earth Surface Processes and Landforms, Vol. 33, No. 5, pp. 724-740.   DOI
30 Momiji, H., Carretero-Gonzalez, R., Bishop, S.R., and Warren, A. (2000), Simulation of the effect of wind speedup in the formation of transverse dune fields, Earth Surface Processes and Landforms, Vol. 25, No. 8, pp. 905-918.   DOI