Understanding and predicting deep percolation under surface irrigation

Water Resources Research

Volumn 44, Issue 12, 2008, Pages

  Bethune, M G ^a,b   Selle, B ^a   Wang, Q J ^a,c  

^a DEPARTMENT OF PRIMARY INDUSTRIES   (Australia)

^b Murray Darling Basin Commission   (Australia)

^c CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

AQUIFERS; INFILTRATION; IRRIGATION; LYSIMETERS; NEURAL NETWORKS; PONDING; SOIL MECHANICS; SOIL SURVEYS; SOILS; SOLVENTS;

ARTIFICIAL NEURAL NETWORKS; CONCEPTUAL MODELS; DEEP PERCOLATIONS; DOMINANT PROCESS; FIELD CAPACITIES; FIELD-SCALE; INFILTRATION RATES; IRRIGATED PASTURES; KEY VARIABLES; LYSIMETER EXPERIMENTS; PROCESS-BASED MODELING; RICHARDS' EQUATIONS; SOIL TYPES; SURFACE IRRIGATIONS; WATER BALANCES; WATER TABLE DEPTHS;

PERCOLATION (FLUIDS);

EXPERIMENTAL STUDY; INFILTRATION; IRRIGATION; ONE-DIMENSIONAL MODELING; PERCOLATION; WATER DEPTH; WATER TABLE;

EID: 59649127745     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2007WR006380     Document Type: Article

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