Point estimation of soil water infiltration process using Artificial Neural Networks for some calcareous soils

Journal of Hydrology

Volumn 481, Issue , 2013, Pages 35-47

  Parchami Araghi, Farzin ^a   Mirlatifi, Seyed Majid ^a   Ghorbani Dashtaki, Shoja ^b   Mahdian, Mohmmad Hossein ^c  

^a TARBIAT MODARES UNIVERSITY   (Iran)

^b SHAHREKORD UNIVERSITY   (Iran)

^c Agricultural Research   (Iran)

Author keywords

Artificial Neural Networks; Cumulative infiltration; Infiltration process; Multilayer perceptron

Indexed keywords

BULK DENSITY; CALCAREOUS SOILS; DIRECT MEASUREMENT; DOUBLE RING; FEED-FORWARD MULTILAYER PERCEPTRON; FIELD CAPACITY; GRAVEL CONTENT; GREEN AND AMPT; HYDROLOGICAL CYCLES; INFILTRATION MODELS; INFILTRATION PROCESS; INFILTRATION RATE; MULTI LAYER PERCEPTRON; PERMANENT WILTING POINTS; POINT ESTIMATION; PRINCIPAL COMPONENTS; PROBABILITY LEVELS; RELIABILITY TEST; SOIL DATA; SOIL HORIZON; SOIL PROPERTY; SOIL WATER; SOIL WATER CONTENT; SPATIAL AND TEMPORAL VARIABILITY; SPECIFIC TIME; TYPE II;

CALCIUM CARBONATE; EXPERIMENTS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; SOIL MOISTURE; WATER CONTENT;

ESTIMATION;

ARTIFICIAL NEURAL NETWORK; CALCAREOUS SOIL; CALCIUM CARBONATE; ESTIMATION METHOD; INFILTRATION; NUMERICAL MODEL; PEDOGENESIS; SOIL HORIZON; SOIL PROPERTY; SOIL WATER; SPATIOTEMPORAL ANALYSIS;

EID: 84873093208     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2012.12.007     Document Type: Article

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