文章基本信息

标题：Developing Pedo Transfer Functions to Predict Infiltration Rate in Flood Spreading Stations of Iran
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作者：M.H. Mahdian ; R.S. Oskoee ; K. Kamali 等
期刊名称：Research Journal of Environmental Sciences
印刷版ISSN：1819-3412
电子版ISSN：2152-8238
出版年度：2009
卷号：3
期号：6
页码：697-704
DOI：10.3923/rjes.2009.697.704
出版社：Academic Journals Inc., USA
摘要：Since, measuring infiltration rate directly is time consuming and expensive, the Pedo Transfer Functions (PTFs) were developed to estimate soil infiltration rate using soil physical data of the flood spreading stations in Iran. Infiltration rate was measured in the flooded areas by double ring method. Selected soil physical properties used as input variables were sand, silts, clay percentage, bulk density, field capacity and wilting point. Soils studied were classified as Entisols. All stations were classified into three groups using Principal Component Analysis (PCA). Linear and nonlinear PTFs were developed to estimate infiltration rate. For one variable linear regression, the PTFs at 0.95 confidence interval were obtained. Nonlinear regression developed as PTFs using gravel, sand, silt and clay percent. There were also developed the multi variable functions based on the gravel, sand, silt and clay percent, so it is possible that developing the related functions to estimate infiltration rate by easily measured soil parameters. Most of the developed functions were cubic. Changes in PTFs have wide variation and developed PTFs vary based on the number of parameters formed them.