Please use this identifier to cite or link to this item:
|Title:||WRRCTR No.148 Soil and Sampling Scheme for Characterizing Soil Hydraulic Properties of a Watershed|
Green, Richard E.
Monte Carlo method
soil hydraulic indices
|LC Subject Headings:||Hydrologic cycle -- Mathematical models.|
Hydrologic models -- Hawaii -- Oahu.
Oxisols -- Hawaii -- Oahu.
Pearl Harbor (Hawaii)
Watersheds -- Hawaii -- Oahu -- Mathematical models.
|Publisher:||Water Resources Research Center, University of Hawaii at Manoa|
|Citation:||Bresler E, Green RE. 1982. Soil parameters and sampling scheme for characterizing soil hydraulic properties of a watershed. Honolulu (HI): Water Resources Research Center, University of Hawaii at Manoa. WRRC technical report, 148.|
|Series/Report no.:||WRRC Technical Report|
|Abstract:||Watershed modeling, which incorporates the stochastic nature of the hydraulic properties of the land surface and rainfall, requires a mathematical description of watershed variability, including the frequency distribution of key hydrologic parameters and the spatial structure of variances. Heterogenous watersheds require extensive sampling to characterize the spatial
distribution of a property, such as hydraulic conductivity, which is frequently required as input to model calculations of infiltration and runoff. Since hydraulic conductivity, K, varies with water content, Ө, and soil water pressure, h, the K(Ө) and X(h) relationships can be conveniently represented by parameters in mathematical expressions relating these variables. The parameters of three different equations are examined as indices of the hydraulic properties of Oxisol soils in Hawaii's Pearl Harbor watershed. When what to measure and how to mathematically express the results is decided, the number and location of field measurement sites in a particular watershed are determined. Geostatistical concepts are applied to design a sampling scheme for a specific watershed in which the measured value
of a hydrologic property or index at a given point is correlated with other measured values of the property that is dependent on the distance between sampling points. Required statistical parameters for the geostatistical approach are the mean, variance, and autocorrelation function or variogram. Criteria are specified for selecting the location and smallest possible number of observation points to best estimate the statistical parameters. The results suggest that 30 measurement sites are the minimum sample size for estimating the parameters required for stochastic modeling. The proposed sampling procedure is illustrated with a sampling strategy for a portion of the Pearl Harbor watershed.
|Sponsor:||U.S. Department of the Interior Office of Water Policy Grant/Contract No. 14-34-0001-2113 (A-094-HI)|
|Pages/Duration:||vii + 42 pages|
|Appears in Collections:||WRRC Technical Reports|
Items in ScholarSpace are protected by copyright, with all rights reserved, unless otherwise indicated.