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2016 | 49 | 1 |

Tytuł artykułu

Parametric estimation of water retention using mGMDH method and principal component analysis

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
Performing a primary analysis, such as principal component analysis (PCA) may increase accuracy and reliability of developed pedotransfer functions (PTFs). This study focuses on the usefulness of the soil penetration resistance (PR) and principal components (PCs) as new inputs along with the others to develop the PTFs for estimating the soil water retention curve (SWRC) using a multi-objective group method of data handling (mGMDH). The Brooks and Corey (1964) SWRC model was used to give a description of the water retention curves and its parameters were determined from experimental SWRC data. To select eight PCs, PCA was applied to all measured or calculated variables. Penetration resistance, organic matter (OM), aggregates mean weight diameter (MWD), saturated hydraulic conductivity (Ks), macro porosity (Mp), micro porosity (Mip) and eight selected PCs were used as predictors to estimate the Brooks and Corey model parameters by mGMDH. Using PR or OM, Ks and MWD, improved the estimation of SWRC in some cases. Using the predicted PR can be useful in the estimation of SWRC. Using either the MP and Mip or the eight PCs significantly improved the PTFs accuracy and reliability. It would be very useful to apply PCA on the original variables as a primary analysis to develop parametric PTFs.

Słowa kluczowe

Wydawca

-

Rocznik

Tom

49

Numer

1

Opis fizyczny

p.29-47,ref.

Twórcy

  • Department of Soil Science, Faculty of Agriculture, Tabriz University, Tabriz, Iran
autor
  • Department of Soil Science, Faculty of Agriculture, Bu Ali Sina University, Hamedan, Iran
autor
  • Department of Soil Science, Faculty of Agriculture, Bu Ali Sina University, Hamedan, Iran
autor
  • Department of Irrigation and Drainage Engineering, Tarbiat Modares University, Tehran, Iran
autor
  • Department of Sustainable Soils and Grassland Systems, Rothamsted Research, Harpenden, Hertfordshire AL5 2JQ, U.K.
  • Department of Mechanical Engineering, Engineering Faculty, Guilan University, P.O. Box 3756, Rasht, Iran

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Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

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