PROBABILISTIC ANALYSIS OF GROUND-WATER LEVELS IN HILLSIDE SLOPES

A simplified, easy-to-use ground water model that accounts for unsaturated and saturated flow processes, and requires minimal number of parameters is presented. The model is applicable to a hillside slope wwith a layer of soil over an impermeable base. An uncertainty model is developed to estimate the uncertainty about the predicted piezometric level due to uncertainty about the input parameters. Because the probability distributions of hydrogeological parameters are usually not availbale to allow the use of full distribution methods, first order, second moment method (based on first-order Taylor series expansion of the governing equation) is used in the present study. Bayesian updating is used to update the model parameters using observed piezometric levels. As examples the model is applied to estimate piezsometric levels of small basins in the watersheds in Perkins Creek, Oregon, and Kennel Creek, Alaska.

Media Info

  • Features: Appendices; Figures; References; Tables;
  • Pagination: p. 872-890
  • Serial:

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Filing Info

  • Accession Number: 00609947
  • Record Type: Publication
  • Files: TRIS, ATRI
  • Created Date: Jun 30 1991 12:00AM