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An overview of applicability of WEQ, RWEQ, and WEPS models for prediction of wind erosion in lands

  • Seo, Il Whan (Department of Bio-environmental Chemistry, Collage of Agriculture and Life Science, Chungnam National University) ;
  • Lim, Chul Soon (Department of Bio-environmental Chemistry, Collage of Agriculture and Life Science, Chungnam National University) ;
  • Yang, Jae Eui (Department of Biological environment, Collage of Agriculture and Life Science, Kangwon National University) ;
  • Lee, Sang Pil (Department of Biological environment, Collage of Agriculture and Life Science, Kangwon National University) ;
  • Lee, Dong Sung (National Agricultural Cooperative Federation) ;
  • Jung, Hyun Gyu (Department of Bio-environmental Chemistry, Collage of Agriculture and Life Science, Chungnam National University) ;
  • Lee, Kyo Suk (Department of Bio-environmental Chemistry, Collage of Agriculture and Life Science, Chungnam National University) ;
  • Chung, Doug Young (Department of Bio-environmental Chemistry, Collage of Agriculture and Life Science, Chungnam National University)
  • Received : 2020.04.17
  • Accepted : 2020.05.29
  • Published : 2020.06.01

Abstract

Accelerated soil wind erosion still remains to date to cause severe economic and environmental impacts. Revised and updated models to quantitatively evaluate wind induced soil erosion have been made for specific factors in the wind erosion equation (WEQ) framework. Because of increasing quantities of accumulated data, the WEQ, the revised wind erosion equation (RWEQ), the wind erosion prediction system (WEPS), and other soil wind erosion models have been established. These soil wind erosion models provide essential knowledge about where and when wind erosion occurs although naturally, they are less accurate than the field-scale. The WEQ was a good empirical model for comparing the effects of various management practices on potential erosion before the RWEQ and the WEPS showed more realistic estimates of erosion using easily measured local soil and climatic variables as inputs. The significant relationship between the observed and predicted transport capacity and soil loss makes the RWEQ a suitable tool for a large scale prediction of the wind erosion potential. WEPS developed to replace the empirical WEQ can calculate soil loss on a daily basis, provide capability to handle nonuniform areas, and obtain predictions for specific areas of interest. However, the challenge of precisely estimating wind erosion at a specific regional scale still remains to date.

Keywords

References

  1. Armbrust DV. 1984. Wind and sand blast injury to field crops: Effect of plant age. Agronomy Journal 76:991-993. https://doi.org/10.2134/agronj1984.00021962007600060028x
  2. Armbrust DV, Dickerson JD, Skidmore EL. 1982. Dry soil aggregation as influenced by crop and tillage. Soil Science Society America Journal 46:390-393. https://doi.org/10.2136/sssaj1982.03615995004600020036x
  3. Bagnold RA. 1937 The size-grading of sand by wind. Proceeding of the Royal Society of London A 163:250-264.
  4. Bagnold RA. 2001. The physics of blown sand and desert dunes. pp. 265-320. Dover Publications Inc., New York, USA.
  5. Blanco-Canqui H, Lal R. 2008. Soil and water conservation. In Blanco H, Lal R (Eds.), Principles of Soil Conservation and Management. pp. 1-19. Springer, Dordrecht, Netherlands.
  6. Boardman J, Poesen J. 2006. Soil erosion in Europe: Major processes, causes and consequences. In Soil Erosion in Europe (eds Boardman J and Poesen J). John Wiley & Sons, Ltd., Chichester, UK.
  7. Bondy EL, Lyles L, Hayes WA. 1980. Computing soil erosion by periods using wind-energy distribution. Journal of Soil and Water Conservation 35:173-176.
  8. Borrelli P, Panagos P, Ballabio C, Weynants E, Montanarella L. 2016. Towards a pan-European assessment of land susceptibility to wind erosion. Land Degradation & Development 27:1093-1105. DOI: 10.1002/ldr.2318.
  9. Borrelli P, Panagos P, Montanarella L. 2015. New insights into the geography and modelling of wind erosion in the European agricultural land. Application of a spatially explicit indicator of land susceptibility to wind erosion. Sustainability 7:8823-8836. https://doi.org/10.3390/su7078823
  10. Breuninger RH, Gillette DA, Kihl R. 1989. Formation of wind-erodible aggregates for salty soils and soils with less than 50% sand composition in natural terrestrial environments. In Leinen M, Sarnthein M (Eds.), Palaeoclimatology and palaeometeorology: Modern and past patterns of global atmospheric transport. pp. 31-64. Kluwer Academic, Dordrecht, Netherlands.
  11. Buschiazzo DE, Zobeck TM. 2008. Validation of WEQ, RWEQ and WEPS wind erosion for different arable land management systems in the Argentinean Pampas. Earth Surface Processes and Landforms: The Journal of the British Geomorphological Research Group 33:1839-1850. https://doi.org/10.1002/esp.1738
  12. Chepil WS. 1945a. Dynamics of wind erosion: I. Nature of movement of soil by wind. Soil Science 60:305-320. https://doi.org/10.1097/00010694-194510000-00004
  13. Chepil WS. 1945b. Dynamics of wind erosion: II. Initiation of soil movement. Soil Science 60:397-411. https://doi.org/10.1097/00010694-194511000-00005
  14. Chepil WS. 1945c. Dynamics of wind erosion: III. The transport capacity of the wind. Soil Science 60:475-480. https://doi.org/10.1097/00010694-194512000-00006
  15. Chepil WS. 1956. Influence of moisture on erodibility of soil by wind. Soil Science Society America Proceeding 20:288-292. https://doi.org/10.2136/sssaj1956.03615995002000020033x
  16. Chepil WS. 1958. Soil conditions that influence wind erosion. USDA Technical Bulletin 1185. US Department of Agriculture, Washington, D.C., USA.
  17. Feng G, Sharratt B. 2007. Validation of WEPS for soil and PM10 loss from agricultural fields within the Columbia Plateau of the United States. Earth Surface Processes Land 32:743-753. https://doi.org/10.1002/esp.1434
  18. Feng G, Sharratt B. 2009. Evaluation of the SWEEP model during high winds on the Columbia Plateau. Earth Surface Processes Land 34:1461-1468. https://doi.org/10.1002/esp.1818
  19. Fryrear DW, Bilbio J, Saleh A, Schombcrg HM, Stout JT, Zobcck TM. 2000. RWHQ: Improved wind erosion technology. Journal of Soil and Water Conservation 55:183-189.
  20. Fryrear DW, Saleh A. 1996. Wind erosion: Field length. Soil Science 161:398-404. https://doi.org/10.1097/00010694-199606000-00007
  21. Fryrear DW, Saleh A, Bilbro JD, Schomberg HM, Stout JE, Zobeck TM. 1998a. Revised wind erosion equation (RWEQ). Technical Bulletin 1, Southern Plains Area Cropping Systems Research Laboratory, Wind Erosion and Water Conservation Research Unit, USDA-ARS, Washington, D.C., USA.
  22. Fryrear DW, Saleh A, Bilbro JD, Schombergn HM, Stout JE, Zobeck TM. 1998b. Revised wind erosion equation. Technical Documentation Wind Erosion and Water Conservation Research Unit, USDA-ARS, Washington, D.C., USA.
  23. Fryrear DW, Sutherland PL, Davis G, Hardee G, Dollar M. 1999. Wind erosion estimates with RWEQ and WEQ. 10th International Soil Conservation Organization Meeting.
  24. Funk R, Skidmore EL, Hagen LJ. 2004. Comparison of wind erosion measurements in Germany with simulated soil losses by WEPS. Environmental Modelling & Software 19:177-183. https://doi.org/10.1016/S1364-8152(03)00120-8
  25. Goossens D. 2003. The on-site and off-site effects of wind erosion. In Wind erosion on agricultural land in Europe, Warren A (ed). pp. 29-38. Office for Official Publications of the European Communities: Luxembourg, Gelderland, Nederland.
  26. Greeves GW, Leys JF, McTainsh GH. 2000. Soil erodibility. In Charman PEV, Murphy BW (Eds.), Soils: Their Properties and Management. pp. 205-220. Oxford University Press, New York. USA.
  27. Greeves GW, Leys JF, McTainsh GH. 2007. Soil erodibility. In Charman PEV, Murphy BW (Eds.), Soils-their properties and management. pp. 206-221. Oxford University Press, Melbourne, Australia.
  28. Gregory JM, Borrelli J. 1986. Physical concepts for modeling soil erosion by wind. American Society Association Executives Paper SWR-86-002. In Proceeding ASAE Southwest Regional Meeting, Baton Rouge, LA, USA.
  29. Guo Z, Zobeck TM, Zhang K, Li F. 2013. Estimating potential wind erosion of agricultural lands in northern China using the Revised wind erosion equation and geographic information systems. Journal of Soil and Water Conservation 68:13-21. DOI:10.2489/jswc.68.1.13.
  30. Hagen L. 1991. A wind erosion prediction system to meet user needs. Journal of Soil Water Conservation 46:105-111.
  31. Hagen LJ, Armbrust DV. 1994. Plant canopy effects on wind erosion saltation. American Society of Association Executives 37:461-465.
  32. Hagen LJ, Foster GR. 1989. Soil erosion prediction technology. pp. 117-135. Proceedings of the March 1989 Soil Erosion and Productivity Workshop, University of Minnesota. Minesota, USA.
  33. Hagen LJ, Wagner LE, Tatarko J. 1996. Wind erosion prediction system (WEPS). Technical Documentation. Wind Erosion Research Unit. USDA-ARS, Washington, D.C., USA.
  34. Hagen LJ, Zobeck TM, Fryrear DW. 1988. Concepts for modeling wind erosion. Proceedings of the International Conference on Dryland Farming, Washington, D.C., USA.
  35. Hagen LJ. 2004. Evaluation of the wind erosion prediction system (WEPS) erosion sub-model on cropland fields. Environment Model Software 19:171-176. https://doi.org/10.1016/S1364-8152(03)00119-1
  36. Huang Q, Badreldin N, Lobb DA, Li S, Feng G, McConkey BG. 2017 Uncertainty and sensitivity analyses of the modified wind erosion equation for application in Canada. Land Degradation & Develop 28:2298-2307. https://doi.org/10.1002/ldr.2760
  37. Jarraha M, Mayel S, Tatarko J, Funk R, Kuka K. 2020. A review of wind erosion models: Data requirements, processes, and validity. Catena 187:104388. https://doi.org/10.1016/j.catena.2019.104388
  38. Larson WJ, Pierce FJ. 1994. The dynamics of soil quality as a measure of sustainable production. Defining Soil Quality for a Sustainable Environment (Doran JW, Coleman DC, Bezdicek DF, Stewart BA, Eds.). SSSA Special Publication Number 35. pp. 37-51. Soil Science Society of America, Inc., and American Society of Agronomy, Inc., Madison, Wisconsin, USA.
  39. Leys J, McTainsh G, Shao Y. 2001. Wind erosion monitoring and modeling techniques in Australia. pp. 940-950. In Sustaining the Global Farm, Selected Papers From the 10th International Soil Conservation Organization Meeting. West Lafayette, Indiana, USA.
  40. Liu B, Qu J, Niu Q, Han Q. 2014. Comparison of measured wind tunnel and SWEEP simulated soil losses. Geomorphology 207:23-29. https://doi.org/10.1016/j.geomorph.2013.10.024
  41. Liu XW. 1995. Experimental wnd-sand flow physics and sand drift control engineering (in Chinese). Science Press, Beijing, China.
  42. Lyles L, Allison BE. 1975. Wind erosion: Uniformly spacing non erodible elements eliminates effects of wind-direction variability. Journal of Soil Water Conservation 30:225-226.
  43. Lyles L, Tatarko J. 1987. Precipitation effects on ridges created by grain drills. Journal of Soil Water Conservation 42:269-271.
  44. Lyles L, Tatarko J. 1988. Soil wind erodibility index in seven north central states. Transactions American Society Agriculture Engineers 31:1396-1399. https://doi.org/10.13031/2013.30875
  45. Lyles L, Woodruff NP. 1960. Abrasive action of windblown soil on plant seedlings. Journal of Agronomy 52:533-536. https://doi.org/10.2134/agronj1960.00021962005200090014x
  46. Mandakh N, Tsogtbaatar J, Dash D, Khudulmur S. 2016. Spatial assessment of soil wind erosion using WEQ approach in Mongolia. Journal of Geographical Science 26:473-483. https://doi.org/10.1007/s11442-016-1280-5
  47. Nickovic SG, Kallos G, Papadopoulos A, Kakaliagou O. 2001. A model for prediction of desert dust cycle in the atmosphere. Journal of Geophysical Research 106:18113-18129. https://doi.org/10.1029/2000JD900794
  48. NRCS (Natural Resources Conservation Service). 1988. National agronomy manual, 190-V-NAM, second ed. Part 502. Accessed in https://www.govinfo.gov/content/pkg/CFR-2010-title7-vol6/pdf/CFR-2010-title7-vol6-sec610-14.pdf on 7 February 2020.
  49. NRCS (Natural Resources Conservation Service). 2020. 4. Erosion prediction - The wind erosion equation (WEQ). Section 1-General Resource References. Accessed in https://efotg.sc.egov. usda.gov/references/public/WA/The Wind Erosion Equation (WEQ).htm on 7 February 2020.
  50. Okin GS, Gillette, JE Herrick. 2006. Multi-scale controls on and consequences of Aeolian processes in landscape change in arid and semi-arid environments. Journal of Arid Environments 65:253-275. https://doi.org/10.1016/j.jaridenv.2005.06.029
  51. Okin GS. 2008. A new model of wind erosion in the presence of vegetation. Journal of Geophysical Research 113:F02S10. DOI:10.1029/2007JF000758.
  52. Pi H, Feng G, Sharratt BS, Li X, Zheng Z. 2014. Validation of SWEEP for contrasting agricultural land use types in the Tarim Basin. Soil Science 179:433-445. https://doi.org/10.1097/SS.0000000000000083
  53. Riksen MJPM, De Graaff J. 2001. On-site and off-site effects of wind erosion on European light soils. Land Degradation & Development 12:1-11. https://doi.org/10.1002/ldr.423
  54. Shaw WJ, Allwine KJ, Fritz BG, Rutz FC, Rishel JP, Chapman EG. 2008. An evaluation of the wind erosion module in DUSTRAN. Atmospheric Environment 42:1907-1921. https://doi.org/10.1016/j.atmosenv.2007.11.022
  55. Skidmore EL. 1987. Wind-erosion direction factors as influenced by field shape and wind preponderance. Soil Science Society of America Journal 51:198-202. https://doi.org/10.2136/sssaj1987.03615995005100010041x
  56. Smalley IJ. 1970. Cohesion of small particles and the intrinsic resistance of simple soil systems to wind erosion. Journal of Soil Science 21:154-161. https://doi.org/10.1111/j.1365-2389.1970.tb01163.x
  57. Stout JE. 1990. Wind erosion in a simple field. Trans American Society Association Executives 33:1597-1600.
  58. Stout JE, Zobeck TM. 1996. The Wolfforth field experiment: A wind erosion study. Soil Science 161:616-632. https://doi.org/10.1097/00010694-199609000-00006
  59. Tatarko J, Sporcic MA, Skidmore EL. 2013. A history of wind erosion prediction models in the United States Department of Agriculture prior to the Wind Erosion Prediction System. Aeolian Research 10: 3-8. https://doi.org/10.1016/j.aeolia.2012.08.004
  60. Tatarko J, van Donk SJ, As cough II JC, Walker DG. 2016 Application of the WEPS and SWEEP models non-agricultural disturbed lands Heliyon, e00215. doi.org/10.1016/j.heliyon.2016.e00215.
  61. Tatarko J, Wagner LE. 2007. An introduction to the wind erosion prediction system (WEPS). pp. 1-8 . American Society of Agriculture and Biological Engineers, Minnesota, USA.
  62. Van Donk S, Skidmore EL. 2001. A field test of the wind erosion prediction system. Accessed in https://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1060&context=westcentresext on 8 April 2020.
  63. Van Pelt RS, Zobeck TM, Potter KN, Stout JE, Popham TW. 2004. Validation of the wind erosion stochastic simulator (WESS) and the revised wind erosion equation (RWEQ) for single events. Environmental Modelling and Software 19:191-198. https://doi.org/10.1016/S1364-8152(03)00122-1
  64. Wagner LE. 1996. An overview of the wind erosion prediction system. Accessed in https://www. semanticscholar.org/paper/An-overview-of-the-wind-erosion-prediction-system-Wagner-Ph./2517a66b5576a62ab26c20b3647f1382c1c1b4f7 on 9 February 2020.
  65. Wagner LE. 2011. Overview of the management sub-model in the wind erosion prediction system. In International Symposium on Erosion and Landscape Evolution, Anchorage, Alaska, USA.
  66. Wagner LE. 2013. A history of wind erosion prediction model with in the United States Department of Agriculture: The wind erosion prediction system (WEPS). Aeolian Research 10:9-24. https://doi.org/10.1016/j.aeolia.2012.10.001
  67. Webb NP, Strong CL. 2011. Soil erodibility dynamics and its representation in wind erosion and dust emission models. Aeolian Research 3:165-180. https://doi.org/10.1016/j.aeolia.2011.03.002
  68. Woodruff NP, Siddoway FH. 1965. A wind erosion equation. Soil Science Society of American Proceedings 29:602-608. https://doi.org/10.2136/sssaj1965.03615995002900050035x
  69. Youssef F, Visser SM, Karssenberg D, Erpul G, Cornelis WM, Gabriels D, Poortinga A. 2012. The effect of vegetation patterns on wind-blown mass transport at the regional scale: A wind tunnel experiment. Geomorphology 2012:159-160.
  70. Zobeck TM. 1991. Abrasion of crusted soils: Influence of abrader flux and soil properties. Soil Science Society of America Journal 55:1091-1097. https://doi.org/10.2136/sssaj1991.03615995005500040033x
  71. Zobeck TM, Bilbro JD. 2001. Crop productivity and surface soil properties of a severely wind-eroded soil. p. 617-622. In Sustaining the Global Farm. 10th International Soil Conservation Organization. 24-29 May, 1999. Purdue University and USDA-ARS National Soil Erosion Laboratory, West Lafayett, USA.
  72. Zobeck TM, Van Pelt RS. 2006. Wind-induced dust generation and transport mechanics on a bare agricultural field. Journal of Hazardous Mater 132:26-38. https://doi.org/10.1016/j.jhazmat.2005.11.090
  73. Zou X, Cheng H, Wang Z. 2013. Investigation of soil wind erosion in China. Technical Report. The First National Investigation on Water Conservancy. pp. 61-88. The Ministry of Water Resources of the People's Republic of China, Beijing, China.
  74. Zou X, Zhang C, Cheng H, Kang L, Wu X, Chang C, Wang Z, Zhang F, Li J, Liu C, Liu B, Tian J. 2014. Classification and representation of factors affecting soil wind erosion in a model. Advenced Earth Science 29:875-889. [in Chinese]

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