Using geostatistical, artificial neural network and inverse models to estimate 3D soil type and hydraulic property distributions in a deep volume of unsaturated soil

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ADS bibcode
2008AGUFM.H13F0979F
year
2008
Listed Authors
Fang, Z.
Neuman, S. P.
Schaap, M.
Yao, T.
Listed Institutions
Department of Hydrology and Water Resources, University of Arizona, Tucson, AZ 85721, United States
Department of Hydrology and Water Resources, University of Arizona, Tucson, AZ 85721, United States
Department of Soil, Water and Environmental Science, University of Arizona, Tucson, AZ 85721, United States
GeoSystems Analysis Inc., 2015 N. Forbes, Suite 105, Tucson, AZ 85745, United States

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