About Us | Help Videos | Contact Us | Subscriptions
 

Book: Quantifying Soil Hydromorphology
Published by: Soil Science Society of America

 

This chapter in QUANTIFYING SOIL HYDROMORPHOLOGY

  1.  p. 77-93
    sssa special publication 54.
    Quantifying Soil Hydromorphology

    M.C. Rabenhorst, J.C. Bell and P.A. McDaniel (ed.)

    ISBN: 978-0-89118-949-7

     
    Published: 1998


 View
 Download
 Alerts
 Permissions
 Share

doi:10.2136/sssaspecpub54.c5

Toward the Development of Quantitative Soil Morphological Indicators of Water Table Behavior

  1. L. P. Galusky,
  2. M. C. Rabenhorst and
  3. R. L. Hill
  1. Marathon Oil Company Findlay, Ohio
    University of Maryland College Park, Maryland

Abstract

The current practice using soil hydromorphological data to infer water table behavior is limited to a qualitative characterization of the water table regime. While this is useful for many purposes, it would be a substantial improvement to be able to use hydrope-dological inference to estimate the long-term, average monthly water table depth, as well as the cumulative relative frequency of water table occurrence vs. depth (depth-excee-dence probabilities). Unfortunately, most hydropedological studies have been based on a hydrologic record that is too brief to permit truly quantitative correlation between soil morphology and the water table regime. We present a multiple regression model to extend existing short-term water table records into the past using available weather data. Where long-term weather data are available, this model can be used to provide sufficient hydrological information to support quantitative hydropedological analysis. We then develop a method for estimating the long-term, average monthly water table hydrograph and depth-exceedence probabilities, based on soil hydromorphological features.

  Please view the pdf by using the Full Text (PDF) link under 'View' to the left.

Copyright © 1998. Copyright © 1998 by the Soil Science Society of America, Inc., 5585 Guilford Rd., Madison, WI 53711 USA