Modelling spatial variability of saturated hydraulic conductivity using Fourier series analysis
作者:
AJAY KUMAR,
R.S. KANWAR,
G.R. HALLBERG,
期刊:
Hydrological Sciences Journal
(Taylor Available online 1994)
卷期:
Volume 39,
issue 2
页码: 143-156
ISSN:0262-6667
年代: 1994
DOI:10.1080/02626669409492730
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
A study was conducted to develop a computer model to simulate the spatial variability of field-measured saturated hydraulic conductivity (Ks) using Fourier series analysis.Ksmeasurements, bothin situand in the laboratory, were made at 150 and 300 mm depths at regular intervals of 4.6 m on two perpendicular transects crossing each other at the centre of a no-till field. Three Fourier series models, with a finite number of harmonics, were developed to simulate the variability inKsvalues. These models included the regular Fourier series model, the half-range Fourier series model with only cosine terms, and the half-range Fourier series model with only sine terms. Also, a test of significance was conducted with the first five and eight terms of the Fourier series models. This test indicated that with only five or eight terms model performances were not significantly different from each other at the 0.05 level. The overall results of this study indicated that spatial variability in theKsmeasurements made with both techniques, field and laboratory, can be represented successfully with half-range Fourier series with only cosine terms. Statistical analysis of predicted and observedKsvalues indicated that the two sets were not significantly different from each other at the 0.05 level.
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