Conditional simulation of USLE/RUSLE soil erodibility factor by geostatistics in a Mediterranean catchment, Turkey

Environmental Earth Sciences

Volumn 60, Issue 6, 2010, Pages 1179-1187

  Baskan, Oguz ^a   Cebel, Hicrettin ^a   Akgul, Suat ^a   Erpul, Gunay ^b  

^a Institute of Soil and Water Resources Research   (Turkey)

^b ANKARA UNIVERSITY   (Turkey)

Author keywords

Conditional simulation; Sequential Gaussian simulation; Soil erodibility; Spatial uncertainty; USLE

Indexed keywords

AGRICULTURAL AREAS; CONDITIONAL SIMULATIONS; CONFIDENCE INTERVAL; ENVIRONMENTAL PROBLEMS; EROSION HAZARDS; EROSION MODELS; GEO-STATISTICS; K-FACTOR; KRIGING; MEDITERRANEAN CATCHMENT; SEMIVARIOGRAMS; SEQUENTIAL GAUSSIAN SIMULATION; SIMULATION PROCEDURES; SIMULATION RESULT; SITE SPECIFIC MANAGEMENT; SOIL ERODIBILITY; SOIL EROSION; SOIL LOSS; SPATIAL UNCERTAINTY; SPATIAL VARIABILITY; STANDARD DEVIATION; STUDY AREAS; SUMMARY STATISTIC; SURFACE SOIL; UNIVERSAL SOIL LOSS EQUATION;

CATCHMENTS; GAUSSIAN DISTRIBUTION; GRAPHIC METHODS; SEDIMENT TRANSPORT; SOIL CONSERVATION; SOIL MECHANICS; SOILS; SUSTAINABLE DEVELOPMENT;

GEOLOGIC MODELS;

ERODIBILITY; GAUSSIAN METHOD; GEOSTATISTICS; HISTOGRAM; KRIGING; NUMERICAL MODEL; PRODUCTIVITY; RESOURCE MANAGEMENT; REVISED UNIVERSAL SOIL LOSS EQUATION; SOIL EROSION; SPATIAL VARIATION; SUSTAINABILITY; TOPOGRAPHY; UNCERTAINTY ANALYSIS; UNIVERSAL SOIL LOSS EQUATION; VARIOGRAM;

TURKEY;

EID: 77954047307     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-009-0259-2     Document Type: Article

References (34)

1. Adinarayana J, Rao KG, Krishna NR, Venkatachalam P, Suri JK (1999) A rule-based soil erosion model for a hilly catchment. Catena 37: 309-318.
2. Bayramin I, Basaran M, Erpul G, Canga MR (2008) Assessing the effects of land use changes on soil sensitivity to erosion in a highland ecosystem of semi-arid Turkey. Environ Monit Assess 140: 249-265.
3. Chiles JP, Delfiner P (1999) Geostatistics modeling spatial uncertainty. Wiley, New York, p 695.
4. D'Ambrosio D, Di Gregorio S, Gabriele S, Gaudio R (2001) A cellular automata model for soil erosion by water. Phys Chem Earth B 26: 33-39.
5. Deutsch CV, Journel AG (1998) Geostatistical software library and user's guide. Oxford University Press, New York, p 369.
6. Fullen MA (2003) Soil erosion and conservation in northern Europe. Prog Phys Geogr 27: 331-358.
7. Gamma Design (2004) Geostatistics for the Environmental Sciences. Version 7. 0. Plainwell, Michigan.
8. GDRS (1998) General Directorate of Rural Services. Technical report, Ankara, No: 48.
9. Gee GW, Bauder JW (1986) Particle-size analysis. In: Klute A (ed) Methods of soil analysis, part I, 2nd edn. American Society of Agronomy, Madison, pp 383-409.
10. Goovaerts P (1997) Geostatistics for natural resources evaluation. Oxford University Press, New York, p 483.
11. Goovaerts P (1999) Impact of the simulation algorithm, magnitude of ergodic fluctuations and number of realizations on the spaces of uncertainty of flow properties. Stochastic Environ Res Risk Assess 13: 161-182.
12. Goovaerts P (2000) Estimation or simulation of soil properties? An optimization problem with conflicting criteria. Geoderma 97: 165-186.
13. Goovaerts P (2005) Geostatistical modeling of the spaces of local, spatial, and response uncertainty for continuous petrophysical properties. In: Coburn TC, Yarus JM, Chambers RL (eds) Stochastic modeling and geostatistics: principles, methods, and case studies, vol II, pp 1-21.
14. Hengl T, Toomanian N (2006) Maps are not what they seem: representing uncertainty in soil-property maps. In: Caetano M, Painho M, (eds) Proceedings of the 7th i{dotless}nternational symposium on spatial accuracy assessment in natural resources and environmental sciences (Accuracy 2006), 5-7 July 2006, Lisbon, Portugal, pp 805-813.
15. Isaaks HE, Srivastava RM (1989) An introduction to applied geostatistics. Oxford University Press, Nev York, p 572.
16. Journel AG, Huijbregts CHJ (1978) Mining geostatistics. Academic Press, London, p 600.
17. Klute A, Dirksen C (1986) Hydraulic conductivity and diffusivity. In: Klute A (ed) Methods of soil analysis, part I, 2nd edn. American Society of Agronomy, Madison, pp 687-732.
18. Lal R (2001) Soil degradation by erosion. Land Degrad Dev 12: 519-539.
19. Lu D, Li G, Valladares GS, Batistella M (2004) Mapping soil erosion risk in Rondonia, Brazilian Amazonia: using Rusle, remote sensing and Gis. Land Degrad Dev 15: 499-512.
20. Matheron G (1963) Principles of geostatistics. Econ Geol 58: 1246-1266.
21. Millward AA, Mersey JE (1999) Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed. Catena 38: 109-129.
22. Myers JC (1997) Geostatistical error management: quantifying uncertainty for environmental sampling and mapping. International Thomson Publishing Inc., New York, p 571.
23. Nearing MA, Foster GR, Lane LJ, Finkner SC (1989) A process-based soil erosion model for USDA-Water Erosion Prediction Project Technology. Trans ASAE 32: 1587-1593.
24. Nelson DW, Sommers LE (1982) Total carbon, organic carbon, and organic matter. In: Page AL (ed) Methods of soil analysis, Part 2, 2nd edn. ASA and SSSA, Madison, Agronomy Monograph 9, pp 539-579.
25. Ozcan AU, Erpul G, Basaran M, Erdogan HE (2008) Use of USLE/GIS technology integrated with geostatistics to assess soil erosion risk in different land uses of Indagi Mountain Pass-Cankiri, Turkey. Environ Geol 53: 1731-1741.
26. Pebesma EJ, Karssenberg D, de Jong K (2000) The stochastic dimension in a dynamic GIS. In: Bethlehem JG, van der Heijden PGM (eds) Compstat 2000, proceedings in computational statistics. Physica, Heidelberg, pp 379-384.
27. Renard KG, Foster GR, Weesies GA, McCool DK, Yoder DC (1997) Predicting soil erosion by water: a guide to conservation planning with the revised universal soil loss equation RUSLE. US Department of Agriculture, Agriculture Handbook, 703, Government Printing Office. SSOP, Washington, p 404.
28. Shen DY, Ma AN, Lin H, Nie XH, Mao SJ, Zhang B, Shi JJ (2003) A new approach for simulating water erosion on hillslopes. Int J Remote Sens 24: 2819-2835.
29. Soil Survey Staff (1999) Soil taxonomy. A basic of soil classification for making and interpreting soil survey. USDA Handbook No: 436, Washington DC.
30. Srivastava MR (1996) An overview of stochastic spatial simulation. In: Mowrer HT, Czaplewski RL, Hamre RH (eds) Spatial accuracy assessment in natural resources and environmental sciences: second international symposium. US Department of Agriculture, Forest Service, Fort Collins, General Technical Report RM-GTR-277, pp 13-22.
31. Veihe A, Rey J, Quinton JN, Strauss P, Sancho FM, Somarriba M (2001) Modelling of event-based soil erosion in Costa Rica, Nicaragua and Mexico: evaluation of the EUROSEM model. Catena 44: 187-203.
32. Wang G, Gertner G, Singh V, Shinkareva S, Parysow P, Anderson AB (2002) Spatial and temporal prediction and uncertainty of soil loss using the revised universal soil loss equation: a case study of the rainfall-runoff erosivity R factor. Ecol Modell 153: 143-155.
33. Webster R, Oliver MA (2001) Geostatistics for environmental scientists. Wiley, England, p 271.
34. Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses. USDA Agricultural Research Service Handbook, USA, p 537.