Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Analysis of soil water dynamics in time and space by use of pattern recognition

Zhang, Tielin and Berndtsson, Ronny LU orcid (1991) In Water Resources Research 27(7). p.1623-1636
Abstract

This paper presents a method to use pattern recognition in the analysis of soil water dynamics in time and space simultaneously. Space‐time correlation structures are generated by use of a numerical model for the one‐dimensional unsaturated flow equation. By applying the method to various soil parameter combinations (unsaturated hydraulic conductivity and dispersion coefficient) and length of infiltration periods it is shown how space‐time dependence of soil water changes. The method clearly visualizes effects of changes in infiltrated input and soil heterogeneities which are not noticeable in the original soil water time series. Application of the method to field data reveals small‐scale heterogeneities and vertical and horizontal... (More)

This paper presents a method to use pattern recognition in the analysis of soil water dynamics in time and space simultaneously. Space‐time correlation structures are generated by use of a numerical model for the one‐dimensional unsaturated flow equation. By applying the method to various soil parameter combinations (unsaturated hydraulic conductivity and dispersion coefficient) and length of infiltration periods it is shown how space‐time dependence of soil water changes. The method clearly visualizes effects of changes in infiltrated input and soil heterogeneities which are not noticeable in the original soil water time series. Application of the method to field data reveals small‐scale heterogeneities and vertical and horizontal variability in hydraulic properties. The method possesses special advantages when analyzing time‐ and space‐dependent properties simultaneously. Since the method gives a statistical measure of the dependent property that varies within the space‐time field, it can be used to interpolate the fields to points where observations are not available, to estimate spatial or temporal averages from discrete observations, and to define regions (spatial or temporal) where observations are the most efficient.

(Less)
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Water Resources Research
volume
27
issue
7
pages
14 pages
publisher
American Geophysical Union (AGU)
external identifiers
  • scopus:0026278476
ISSN
0043-1397
DOI
10.1029/91WR00436
language
English
LU publication?
yes
id
822368b2-ba39-4fb2-853c-fd9ea9cab0ca
date added to LUP
2023-08-17 15:28:09
date last changed
2023-08-21 16:23:55
@article{822368b2-ba39-4fb2-853c-fd9ea9cab0ca,
  abstract     = {{<p>This paper presents a method to use pattern recognition in the analysis of soil water dynamics in time and space simultaneously. Space‐time correlation structures are generated by use of a numerical model for the one‐dimensional unsaturated flow equation. By applying the method to various soil parameter combinations (unsaturated hydraulic conductivity and dispersion coefficient) and length of infiltration periods it is shown how space‐time dependence of soil water changes. The method clearly visualizes effects of changes in infiltrated input and soil heterogeneities which are not noticeable in the original soil water time series. Application of the method to field data reveals small‐scale heterogeneities and vertical and horizontal variability in hydraulic properties. The method possesses special advantages when analyzing time‐ and space‐dependent properties simultaneously. Since the method gives a statistical measure of the dependent property that varies within the space‐time field, it can be used to interpolate the fields to points where observations are not available, to estimate spatial or temporal averages from discrete observations, and to define regions (spatial or temporal) where observations are the most efficient.</p>}},
  author       = {{Zhang, Tielin and Berndtsson, Ronny}},
  issn         = {{0043-1397}},
  language     = {{eng}},
  number       = {{7}},
  pages        = {{1623--1636}},
  publisher    = {{American Geophysical Union (AGU)}},
  series       = {{Water Resources Research}},
  title        = {{Analysis of soil water dynamics in time and space by use of pattern recognition}},
  url          = {{http://dx.doi.org/10.1029/91WR00436}},
  doi          = {{10.1029/91WR00436}},
  volume       = {{27}},
  year         = {{1991}},
}