The Future of Soil Erosion Modelling

Handbook of Erosion Modelling

Volumn , Issue , 2011, Pages 387-397

  Nearing, M A ^a   Hairsine, P B ^b  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

^b CSIRO   (Australia)

Author keywords

Applying and improving process based erosion models and EUROSEM, WEPP, LISEM; EUROSEM, single storm model focusing on infiltration, runoff and erosion from individual storms, defining initial system conditions for storms; First order error (FOE) framework visualizing error summation in models, as function of complexity; Future developments future of soil erosion modelling; Model builder, combining lines of evidence to assess and improve models; Model complexity, leading to increased prediction uncertainty; Project funded by European Union developing, model called EUROSEM; Temporal variability, being one reason why we need soil erosion models; Uncertainty, playing a large role in our thinking on erosion; Water Erosion Prediction Project (WEPP) model

Indexed keywords

EID: 79960204689     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9781444328455.ch20     Document Type: Chapter

References (55)

1. Barrett, D.J., Hill, M.J., Hutley, L.B., et al. (2005) Prospects for improving savanna biophysical models by using multiple-constraints model-data assimilation methods. Australian Journal of Botany 53: 689-714.
2. Bayley, T.W., Nearing, M.A., Guertin, D.P., et al. (In preparation) The Water Erosion Prediction Project Climate Assessment Tool: predicting soil erosion in the face of changing precipitation regimes.
3. Clark, D.L., Janecky, D.R. & Lane, L.J. (2006) Sciencebased cleanup of Rocky Flats. Physics Today 59(9): 34-40.
4. De Roo, A.P.J., Wesseling, C.G. & Ritsema, C.J. (1996) LISEM: A single-event physically based hydrological and soil erosion model for drainage basins. 1: Theory, input and output. Hydrological Processes 10: 1107-17.
5. Edwards, W.M. & Owens, L.B. (1991) Large storm effects on total soil erosion. Journal of Soil and Water Conservation 46: 75-8.
6. Everett, S.E., Timsa, S.G., Hancock, G.J., et al. (2008) Comparison of Pu and 137Cs as tracers of soil and sediment transport in a terrestrial environment. Journal of Environmental Radioactivity 99: 383-93.
7. Gale, S.J. (2009) Quaternary dating the recent past. Geochronology 4: 374-7.
8. Gibbs, M.M. (2008) Identifying source soils in contemporary estuarine sediments: A new compound- specific isotope method. Estuaries and Coasts 31: 344-359. DOI 10.1007/s12237-007-9012-9
9. Govers, G. (1996) Soil erosion process research: a state of the art. Academiae Analecta 58(1). Mededelingen van de Koniklijke Academie voor Wetenschappen, Letteren en Schone Konsten van België, Brussels.
10. Grayson, R. & Bloschl, G. (2000) Spatial processes, organisation and patterns. In Grayson, R. & Bloschl, G. (eds), Spatial Patterns in Catchment Hydrology: Observations and Modelling. Cambridge University Press, Cambridge.
11. Groisman, P.Y., Knight, R.W., Easterling, D.R., et al. (2005) Trends in intense precipitation in the climate record. Journal of Climatology 18: 1326-50.
12. Guerschman, J.P., Hill, M.J., Renzullo, L.J., et al. (2009) Estimating fractional cover of photosynthetic vegetation, non-photosynthetic vegetation and bare soil in the Australian tropical savanna region upscaling the EO-1 Hyperion and MODIS sensors. Remote Sensing of the Environment 113: 928-45.
13. Hairsine, P.B. & Rose, C.W. (1992a) Modeling water erosion due to overland flow using physical principles: I. Sheet Flow. Water Resources Research 28: 237-43.
14. Hairsine, P.B. & Rose, C.W. (1992b) Modeling water erosion due to overland flow using physical principles: 2. Rill flow. Water Resources Research 28: 245-50.
15. Hairsine, P.B & Sander, G.C. (2009) Comment on "A transport-distance based approach to scaling erosion rates": Parts 1, 2 and 3 by Wainwright et al. Earth Surface Processes and Landforms 34: 882-5. DOI: 10.1002/esp.1782
16. Jetten, V., Govers, G. & Hessel, R. (2003) Erosion models: quality of spatial predictions. Hydrological Processes 17: 887-900.
17. Karl, T.R. & Knight, R.W. (1998) Secular trend of precipitation amount, frequency, and intensity in the United States. Bulletin of the American Meteorological Society 79: 231-42.
18. Laflen, J.M., Elliot, W.J., Flanagan, D.C., et al. (1997) WEPP-Predicting water erosion using a process-based model. Journal of Soil and Water Conservation 52: 96-102.
19. Lane, L.J. & Kidwell, M.R. (2003) Hydrology and soil erosion. USDA Forest Service Proceedings RMRSP- 30: 92-100.
20. Larionov, G.A. (1993) Erosion and Wind Blown Soil. Moscow State University Press, Moscow, 200 pp.
21. Lu, H., Raupach, M.R., McVicar, T.R. & Barrett, D.J. (2003) Decomposition of vegetation cover into woody and herbaceous components using AVHRR NDVI time series. Remote Sensing of the Environment 86: 1-18.
22. Mabit, L., Benmansour, M. & Walling, D.E. (2008) Comparative advantages and limitations of the fallout radionuclides Cs-137, Pb-210(ex) and Be-7 for assessing soil erosion and sedimentation. Journal of Environmental Radioactivity 99: 1799-1807.
23. Meyer, L.D. & Wischmeier, W.H. (1969) Mathematical simulation of the process of soil erosion by water. Transactions of the American Society of Agricultural Engineers 12: 754-8, 762.
24. Milly, P.C.D., Betancourt, J., Falkenmark, M., et al. (2008) Stationarity is dead: whither water management. Science 319: 573-4.
25. Misra, R.K. & Rose, C.W. (1996) Application and sensitivity analysis of process-based erosion model GUEST. European Journal of Soil Science 47: 593-604.
26. Morgan, R.P.C., Quinton, J.N., Smith, R.E., et al. (1998) The European Soil Erosion Model (EUROSEM): a dynamic approach for predicting sediment transport from fields and small catchments. Earth Surface Processes and Landforms 23: 527-44.
27. Motha, J.A., Wallbrink, P.J., Hairsine, P.B. & Grayson, R.B. (2004) Agricultural lands and unsealed roads as sources of suspended sediment in a predominantly agricultural water supply catchment in south-eastern Australia. Journal of Hydrology 286: 1.
28. Nearing, M.A. (2000) Evaluating soil erosion models using measured plot data: accounting for variability in the data. Earth Surface Processes and Landforms 25: 103-43.
29. Nearing, M.A. (2001) Potential changes in rainfall erosivity in the United States with climate change during the 21st century. Journal of Soil and Water Conservation 56: 229-32.
30. Nearing, M.A., Foster, G.R., Lane, L.J. & Finkner, S.C. (1989) A process-based soil erosion model for USDAWater Erosion Prediction Project technology. Transactions of the American Society of Agricultural Engineers 32: 1587-93.
31. Nearing, M.A., Lane, L.J., Alberts, E.E. & Laflen, J.M. (1990) Prediction technology for soil erosion by water: status and research needs. Soil Science Society of America Journal 54: 1702-11.
32. Nearing, M.A., Govers, G. & Norton, L.D. (1999) Variability in soil erosion data from replicated plots. Soil Science Society of America Journal 63: 1829-35.
33. Nearing, M.A., Nichols, M.H., Stone, J.J., et al. (2007) Sediment yields from unit-source semi-arid watersheds at Walnut Gulch. Water Resources Research 43: W06426. DOI: 10.1029/2006WR005692
34. Olley, J.M., Caitcheon, G. & Murray, A.S. (1998) The distribution of apparent dose as determined by Optically Stimulated Luminescence in small aliquots of fluvial quartz: implications for dating young sediments. Quaternary Geochronology 17: 1033-40.
35. Pietsch, T.J. (2009) Optically stimulated luminescence dating of young (<500 years old) sediments: testing estimates of burial dose. Quaternary Geochronology 4: 406-22.
36. Polyakov, V.O., Nearing, M.A. & Shipitalo, M. (2004) Tracking sediment redistribution in a small watershed: implications for agro-landscape evolution. Earth Surface Processes and Landforms 29: 1275-91.
37. Rahman, M.M., Moran, M.S., Thomas, D.P., et al. (2008) Mapping surface roughness and soil moisture using multi-angle radar imagery without ancillary data. Remote Sensing of the Environment 112: 391-402.
38. Renard, K.G., Foster, G.R., Weesies, G.A., et al. (1997) Predicting soil erosion by water-a guide to conservation planning with the revised universal soil loss equation (RUSLE). Agricultural Handbook No. 703, US Government Printing Office, Washington, DC.
39. Rhoton, F.E., Emmerich, W., DiCarlo, D.A., et al. (2008) Identification of suspended sources using soil characteristics in a semiarid watershed. Soil Science Society of America Journal 72: 1102-12.
40. Rosovsky, H. (1991) The University: an Owners Manual. Norton & Co., New York, 312 pp.
41. Rustomji, P., Caitcheon, G., & Hairsine, P.B. (2008) Combining a spatial model with geochemical tracers and river station data to construct a catchment sediment budget. Water Resources Research 44: W01422. DOI: 10.1029/2007WR006112
42. Steiner, M., Houze, R.A. & Yuter, S.E. (1995) Climatological characterization of 3-dimensional storm structure from operational radar and rain-guage data. Journal of Applied Meteorology 34: 1978-2007.
43. Van Oost, K., Beuselinck, L., Hairsine, P.B. & Govers, G. (2004) Spatial evaluation of a multi-class sediment transport and deposition model. Earth Surface Processes and Landforms 29: 1027-44.
44. Wallbrink, P.J. & Murray, A.S. (1993) Use of fallout radionuclides as indicators of erosion processes. Hydrological Processes 7: 297-304.
45. Walling, D.E. (2005) Tracing suspended sediment sources in catchments and river systems. Science of the Total Environment 344: 159-84.
46. Walling, D.E. & He, Q. (1999) Improved models for estimating soil erosion rates from cesium-137 measurements. Journal of Environmental Quality 28: 611-22.
47. Walling, D.E., He, Q. & Blake, W. (1999) Use of Be-7 and Cs-137 measurements to document short- and medium- term rates of water-induced soil erosion on agricultural land. Water Resources Research 35: 3865-74.
48. Wei, H., Nearing, M.A., Stone, J.J. & Breshears, D.D. (2008) A dual Monte Carlo approach to estimate model uncertainty and its application to the Rangeland Hydrology and Erosion Model. Transactions of the American Society of Agricultural and Biological Engineering 51: 515-20.
49. Wei, H., Nearing, M.A., Stone, J.J., et al. (Submitted) A Rangeland Hydrology and Erosion Model. Rangeland Ecology and Management.
50. Wendt, R.C., Alberts, E.E. & Hjelmfelt, A.T. Jr. (1986) Variability of runoff and soil loss from fallow experimental plots. Soil Science Society of America Journal 50: 730-36.
51. Williams, J., Nearing, M.A., Nicks, A., et al. (1996) Using soil erosion models for global change studies. Journal of Soil and Water Conservation 51: 381-5.
52. Wischmeier, W.H. & Smith, D.D. (1978) Predicting rainfall erosion losses: a guide to conservation planning. USDA Agriculture Handbook No. 537. USDA-SEA, US Government Printing Office, Washington, DC.
53. Woolhiser, D.A., Smith, R.E. & Goodrich, D.C. (1990) KINEROS: a Kinematic Runoff and Erosion Model: Documentation and User Manual. USDA Agricultural Research Service ARS-77.
54. Wu, J.R., Zou, Z. Rui & Yu, S.L. (2006) Uncertainty analysis for coupled watershed and water quality modeling systems. Journal of Water Resources Planning and Management ASCE 132: 351-61.
55. Yu, B., Rose, C.W., Ciesiolka, C.A.A., et al. (1997) Toward a framework for runoff and soil loss prediction using GUEST technology. Australian Journal of Soil Research 35: 1191-1212.