Identification and Quantification of the Soil Moisture Response to the Atmospheric Forcing

Created by W.Langdon from gp-bibliography.bib Revision:1.8612

@InProceedings{El-Baroudy:2008:hydropredict,

• author = "Ibrahim El-Baroudy and A. Elshorbagy",
• title = "Identification and Quantification of the Soil Moisture Response to the Atmospheric Forcing",
• booktitle = "International Interdisciplinary Conference on Predictions for Hydrology, Ecology, and Water Resources Management: Using Data and Models to Benefit Society",
• year = "2008",
• editor = "Jiri Bruthans and Karel Kovar and Zbynek Hrkal",
• pages = "71--74",
• address = "Prague, Czech Republic",
• month = "15-18 " # sep,
• organisation = "International Commission on Groundwater (ICGW), of the International Association of Hydrological Sciences (IAHS)",
• publisher = "Czech Association of Hydrogeologists",
• keywords = "genetic algorithms, genetic programming, Discipulus, data-driven techniques, evolutionary polynomial regression, EPR, oil sands, soil storage effect, soil moisture response",
• isbn13 = "978-80-903635-3-3",
• URL = "https://www.oieau.fr/eaudoc/system/files/documents/44/220589/220589_doc.pdf",
• URL = "https://web.natur.cuni.cz/hydropredict2008/download/Proceedings_HydroPredict2008.pdf",
• size = "5 pages",
• notes = "paper 41?

  Centre for Advanced Numerical Simulation (CANSIM), Department of Civil & Geological Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9 Canada",

}

Genetic Programming entries for Ibrahim El-Baroudy Amin Elshorbagy

Citations