Reliable and accurate point-based prediction of cumulative infiltration using soil readily available characteristics: A comparison between GMDH, ANN, and MLR

Journal of Hydrology

Volumn 551, Issue , 2017, Pages 81-91

  Rahmati, Mehdi ^a  

^a UNIVERSITY OF MARAGHEH   (Iran)

Author keywords

Modeling; Pedo transfer function; Soil non readily available characteristics; Soil permeability

Indexed keywords

CARBON; DATA HANDLING; FORECASTING; HYDRAULIC CONDUCTIVITY; MODELS; NEURAL NETWORKS; ORGANIC CARBON; SOILS; TRANSFER FUNCTIONS; WOOLEN AND WORSTED YARN;

AGGREGATE STABILITY; CUMULATIVE INFILTRATIONS; ELECTRICAL CONDUCTIVITY; GROUP METHOD OF DATA HANDLING; MULTIVARIATE LINEAR REGRESSIONS; PEDO-TRANSFER FUNCTIONS; SATURATED HYDRAULIC CONDUCTIVITY; SOIL PERMEABILITY;

INFILTRATION;

ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; DATA PROCESSING; ELECTRICAL CONDUCTIVITY; HYDRAULIC CONDUCTIVITY; INFILTRATION; MODELING; MULTIVARIATE ANALYSIS; NUMERICAL METHOD; ORGANIC CARBON; PEDOTRANSFER FUNCTION; PERMEABILITY; PREDICTION; REGRESSION ANALYSIS; SOIL AGGREGATE; SOIL WATER; WATERSHED;

IRAN;

EID: 85020312320     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2017.05.046     Document Type: Article

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