Estimated infiltration parameters and manning roughness in border irrigation

Based on the volume balance (VB) equation, the surface water profile was shown to be a power function and Philip equation equal to the Kostiakov–Lewis equation when the infiltration parameter a = 0.5. With this assumption, an equation was proposed for estimating infiltration parameters together with...

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Bibliographic Details
Published inIrrigation and drainage Vol. 61; no. 2; pp. 231 - 239
Main Authors Weibo, Nie, Liangjun, Fei, Xiaoyi, Ma
Format Journal Article
LanguageEnglish
Published Chichester, UK John Wiley & Sons, Ltd 01.04.2012
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Summary:Based on the volume balance (VB) equation, the surface water profile was shown to be a power function and Philip equation equal to the Kostiakov–Lewis equation when the infiltration parameter a = 0.5. With this assumption, an equation was proposed for estimating infiltration parameters together with Manning roughness. The method requires only multi‐point water advance data of border irrigation. Solving the equation requires use of the nonlinear least‐squares fitting technique by Matlab software. The proposed method was validated with field experimental data and some reported border tests. The solution procedure was analysed, the results showing that the values of infiltration parameters S and A are not changed, but Manning roughness n varies when σh were given different values (0.70, 0.75, 0.80, respectively). Alternative measures of subsurface water storage and water advance trajectory were used to validate the method. Errors between measured and estimated were 2.0–13% for subsurface water storage, in which the infiltration parameters S and A were estimated with the proposed method. The maximum average absolute error was 6.07% for water advance in all border tests when different Manning roughness n was used (for an n value was estimated when different the shape factor of surface profile σh values were adopt by the proposed method in this paper).
Bibliography:http://dx.doi.org/10.1002/ird.624
Natural Science Foundation of Shaanxi - No. 2010JQ7010
ark:/67375/WNG-GPZHQ0HD-S
Irrigation en planches : estimation des paramètres d'infiltration et de rugosité de Manning.
ArticleID:IRD624
Natural Science Foundation of China - No. 5057906451079121
China Postdoctoral Science Foundation
istex:39F5C4B9B8AB87767A5BA6C22EB22538F7C6F337
Xi'an University of Technology - No. 106-210916
ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 23
ISSN:1531-0353
1531-0361
DOI:10.1002/ird.624