Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
STATISTICAL PARAMETERS CHARACTERIZING THE SPATIAL VARIABILITY OF SELECTED SOIL HYDRAULIC-PROPERTIES
Date
1990-11-01
Author
Ünlü, Kahraman
BIGGAR, JW
MORKOC, F
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
224
views
0
downloads
Cite This
The knowledge of the statistical parameters of the variance, sigma-2, and the correlation scale, lambda, characterizing the spatial structures of the log of the saturated hydraulic conductivity, lnK(s), pore size distribution parameter alpha, and the specific water capacity, C, is required in stochastic modeling in order to understand the overall response of large-scale heterogenous unsaturated flow systems. These parameters are estimated assuming second-order stationarity and an exponential semivariogram model with nugget effect. Methods of ordinary least squares (OLS), maximum likelihood (ML), and restricted maximum likelihood (RML) are used for estimating sigma-2 and lambda, while methods of cross-validation (kriging) and uncorrelated residuals are used to validate the semivariogram model with estimated sigma-2 and lambda. The objectives of this study were to evaluate the sensitivity of sigma-2 and lambda to the estimation methods and to discuss the implications of the analysis in view of the stochastic modeling. The significance of the results of parameter estimation and model validation in relation to the stochastic modeling of large-scale transient unsaturated flow is demonstrated with two examples involving the variance of soil-water pressure head, sigma-h2, and the vertical component of effective hydraulic conductivity, K11*. Results show that the estimated values of sigma-2 and lambda are highly dependent on the estimation method. Although the majority of the estimated parameters pass the validation tests, the RML estimates of sigma-2 and lambda used in estimating sigma-h2 and K11* significantly reduce the prediction uncertainties.
Subject Keywords
Soil Science
URI
https://hdl.handle.net/11511/56128
Journal
SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
DOI
https://doi.org/10.2136/sssaj1990.03615995005400060005x
Collections
Department of Environmental Engineering, Article
Suggestions
OpenMETU
Core
Uncertainty quantification of transient unsaturated seepage through embankment dams
Çalamak, Melih; Yanmaz, Ali Melih (American Society of Civil Engineers (ASCE), 2017-06-01)
Sensitivity analysis is conducted to investigate the effects of uncertainty in hydraulic conductivity and van Genuchten parameters on transient seepage. To this end, a random number generator is used to generate random values from probability distributions of each parameter. The generator is coupled with finite-element software that handles seepage analysis in porous media. The Monte Carlo simulation approach is adopted for stochastic seepage analyses. The suggested method is applied on a homogeneous dam ma...
Effective Stress and Shear Strength of Moist Uniform Spheres
Toker, Nabi Kartal; Culligan, Patricia J. (Wiley, 2014-05-01)
In continuum soil mechanics, the mechanical behavior of an element of soil is related to the effective stress, which is a measure of the average stress transmitted through the solid matrix in the form of contact stresses. In unsaturated soils, the coexistence of water and air within the soil pore space complicates this concept because the microscopic distribution of each fluid phase in soil pores cannot be known. Because it is thus not possible to physically measure effective stress in unsaturated soils, it...
Assessment of core-filter configuration performance of rock-fill dams under uncertainties
Çalamak, Melih; Yanmaz, Ali Melih (American Society of Civil Engineers (ASCE), 2018-04-01)
Probabilistic analyses are conducted for seepage through a rock-fill dam having two different core-filter configurations: one sloping and the other a central symmetrical core-filter arrangement. Uncertainties in core and filter are considered, assuming their hydraulic conductivities as random variables. For this purpose, finite-element software used for groundwater flow and seepage analyses is coupled with a random-number-generation algorithm. Monte Carlo simulations are performed for probabilistic seepage ...
Perfect gas navier-stokes solutions hypersonic boundary layer and compression corner flows
Aziz, Şaduman; Çelenligil, Mehmet Cevdet; Department of Aerospace Engineering (2005)
The purpose of this thesis is to perform numerical solutions of hypersonic, high temperature, perfect gas flows over various geometries. Three dimensional, thin layer, compressible, Navier-Stokes equations are solved. An upwind finite difference approach with Lower Upper-Alternating Direction Implicit (LU-ADI) decomposition is used. Solutions of laminar, hypersonic, high temperature, perfect gas flows over flat plate and compression corners (qw=5°, 10°, 14°, 15°, 16°, 18° and 24°) with eight different free-...
Retrieval of fractional snow covered area from MODIS data by multivariate adaptive regression splines
KUTER, SEMİH; Akyürek, Sevda Zuhal; Weber, Gerhard-Wilhelm (Elsevier BV, 2018-02-01)
In this paper, a novel approach to estimate fractional snow cover (FSC) from MODIS data in a complex and heterogeneous Alpine terrain is represented by using a state-of-the-art nonparametric spline regression method, namely, multivariate adaptive regression splines (MARS). For this purpose, twenty MODIS - Landsat 8 image pairs acquired between April 2013 and December 2016 over European Alps are used. Fifteen of the image pairs are employed during model training and five images are reserved as an independent...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
K. Ünlü, J. BIGGAR, and F. MORKOC, “STATISTICAL PARAMETERS CHARACTERIZING THE SPATIAL VARIABILITY OF SELECTED SOIL HYDRAULIC-PROPERTIES,”
SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
, pp. 1537–1547, 1990, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56128.