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Research Article

A Study on the Effects of Sensitive Parameters Errors on Digital Soil Erosion Simulation

Husham T. Ibrahim, He Qiang, Yang Qiqi and Yang Chun
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A combined runoff-sediment model is used to simulated soil erosion processes and predict soil loss of land surface. The Stanford Watershed Model (SWM) is used as runoff generator for this model. Effects of sensitive parameters errors on soil erosion characteristics are investigated. These characteristics include peak erosion and mean monthly erosion rates. Three different methods are used for the analysis, namely; first-order uncertainty analysis method; direct investigation technique and mean-maximum likelihood method. The aim is to quantify sensitive parameters errors propagation and to gain an appreciation of the approximate magnitudes of model output uncertainty caused by different levels of sensitive parameters uncertainty. Model output uncertainty ranges between (4.000-83.115)% for mean monthly erosion against (4.680-83.098)% for peak erosion. Uncertainty in simulated erosion due to sensitive parameters uncertainty is subsequently analyzed. The probability of peak erosion values occurrence due to sensitive parameters error are investigation. Based on the result obtain, high and moderately parameters are identified. Appropriate conclusion are drawn and suggestion for future work are introduced.

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  How to cite this article:

Husham T. Ibrahim, He Qiang, Yang Qiqi and Yang Chun, 2012. A Study on the Effects of Sensitive Parameters Errors on Digital Soil Erosion Simulation. Pakistan Journal of Nutrition, 11: 511-522.

DOI: 10.3923/pjn.2012.511.522


1:  Ali, A.A., 1998. A study on the effect of data-base errors on digital flow simulation in hydrological simulation models. M.Sc. Thesis, Civil Engineering Department, University of Basrah, Iraq.

2:  Alkadhimi, A., 1982. Land use, water yield and soil erosion simulation of cause and effect. Ph.D. Thesis, Strathclyde University, Glasgow, UK.

3:  Barry, B.A., 1978. Errors in Practical Measurement in Science, Engineering and Technology. John Wiley and Sons Inc., New York, USA., ISBN-13: 9780471031567, Pages: 183.

4:  Benjamin, J.R. and C.A. Cornell, 1970. Probability Statistics and Decision for Civil Engineers. McGraw-Hill Book Co., UK.

5:  Borah, A. and C.T. Haan, 1991. Impact of random data errors on parameter estimation in hydrologic modeling. Trans. ASABE, 34: 857-864.
Direct Link  |  

6:  El-Kadi, A.I., 1989. Watershed Models and their applicability to conjunctive use management. J. Am. Water Resour. Assoc., 25: 125-137.
CrossRef  |  

7:  Fiorentino, M. and S. Gabriele, 1984. A correction for the bias of maximum-likelihood estimators of Gurnbel parameters. J. Hydrol., 73: 39-49.

8:  Fleming, G., 1975. Computer Simulation Techniques in Hydrology. American Elsevier Publication Co., New York, USA., ISBN-13: 9780444001573, Pages: 333.

9:  Garen, D.C. and S.J. Burges, 1981. Approximate error bounds for simulated hydrographs. J. Hydraulics Div., 107: 1519-1534.
Direct Link  |  

10:  Haan, C.T., B. Allred, D.E. Storm, G.J. Sabbagh and S. Prabhu, 1995. Statistical procedure for evaluating hydrologic/water quality models. Trans. ASABE, 38: 725-733.
Direct Link  |  

11:  Haan, C.T., 1989. Parametric uncertainty in hydrologic modeling. Trans. ASABE, 32: 137-146.
Direct Link  |  

12:  Hromadka, T.V. and R.H. McCuen, 1989. An approximate analysis of surface runoff model uncertainty. J. Hydrol., 111: 321-360.
CrossRef  |  

13:  Hudson, N.W., 1981. Soil Conservation. 2nd Edn., Batsford Publishers, London, UK., Pages: 324.

14:  Hussein, H.A., 1998. Computer simulation of soil erosion transport and depositions. M.Sc. Thesis, Civil Engineering Department, University of Basrah, Iraq.

15:  Linsely, R.K., M.A. Kohler and J.L.H. Paulhus, 1975. Hydrology for Engineers. 2nd Edn., McGraw-Hill, New York, pp: 482.

16:  Van der Schaaf, S., 1984. Errors in level recorder data: Prevention and detection. J. Hydrol., 73: 373-382.
CrossRef  |  

17:  Meyer, W.J., 1984. Concepts of Mathematical Modeling. McGraw-Hill Inc., New York, USA.

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