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Explaining soil moisture variability as a function of mean soil moisture: A stochastic unsaturated flow perspective
Year:
2007
Source of publication :
Geophysical Research Letters
Authors :
Kamai, Tamir
;
.
Volume :
34
Co-Authors:
Facilitators :
From page:
To page:
(
Total pages:
1
)
Abstract:
Understanding soil moisture variability and its relationship with water content at various scales is a key issue in hydrological research. In this paper we predict this relationship by stochastic analysis of the unsaturated Brooks-Corey flow in heterogeneous soils. Using sensitivity analysis, we show that parameters of the moisture retention characteristic and their spatial variability determine to a large extent the shape of the soil moisture variance-mean water content function. We demonstrate that soil hydraulic properties and their variability can be inversely estimated from spatially distributed measurements of soil moisture content. Predicting this relationship for eleven textural classes we found that the standard deviation of soil moisture peaked between 0.17 and 0.23 for most textural classes. It was found that the β parameter, which describes the poresize distribution of soils, controls the maximum value of the soil moisture standard deviation. Copyright 2007 by the American Geophysical Union.
Note:
Related Files :
hydrology
Random processes
Sensitivity analysis
soil moisture
Standard deviation
stochasticity
Water content
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More details
DOI :
https://www.scopus.com/inward/record.uri?eid=2-s2.0-38949093207&doi=10.1029%2f2007GL031813&partnerID=40&md5=7b4ac63bba5ffed63662455eb3ecb14f
Article number:
Affiliations:
Database:
Scopus
Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
30500
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:55
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Scientific Publication
Explaining soil moisture variability as a function of mean soil moisture: A stochastic unsaturated flow perspective
34
Explaining soil moisture variability as a function of mean soil moisture: A stochastic unsaturated flow perspective
Understanding soil moisture variability and its relationship with water content at various scales is a key issue in hydrological research. In this paper we predict this relationship by stochastic analysis of the unsaturated Brooks-Corey flow in heterogeneous soils. Using sensitivity analysis, we show that parameters of the moisture retention characteristic and their spatial variability determine to a large extent the shape of the soil moisture variance-mean water content function. We demonstrate that soil hydraulic properties and their variability can be inversely estimated from spatially distributed measurements of soil moisture content. Predicting this relationship for eleven textural classes we found that the standard deviation of soil moisture peaked between 0.17 and 0.23 for most textural classes. It was found that the β parameter, which describes the poresize distribution of soils, controls the maximum value of the soil moisture standard deviation. Copyright 2007 by the American Geophysical Union.
Scientific Publication
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