On the spatio-temporal dynamics of soil moisture at the field scale

被引：369

作者：

Vereecken, H. ^{[1
]}

Huisman, J. A. ^{[1
]}

Pachepsky, Y. ^{[2
]}

Montzka, C. ^{[1
]}

van der Kruk, J. ^{[1
]}

Bogena, H. ^{[1
]}

Weihermueller, L. ^{[1
]}

Herbst, M. ^{[1
]}

Martinez, G. ^{[2
]}

Vanderborght, J. ^{[1
]}

机构：

[1] Forschungszentrum Julich GmbH, Agrosphere Inst, D-52425 Julich, Germany

[2] ARS, USDA, Environm Microbial & Food Safety Lab, Beltsville, MD 20705 USA

来源：

JOURNAL OF HYDROLOGY | 2014年 / 516卷

关键词：

Soil moisture; Spatial variability; Temporal variability; Modeling; Optimal design; GROUND-PENETRATING RADAR; SYNTHETIC-APERTURE RADAR; TIME-DOMAIN REFLECTOMETRY; ELECTRICAL-RESISTIVITY TOMOGRAPHY; WAVE-FORM INVERSION; MICROWAVE DIELECTRIC BEHAVIOR; WATER-CONTENT; SPATIAL VARIABILITY; BARE SOIL; TEMPORAL DYNAMICS;

D O I：

10.1016/j.jhydrol.2013.11.061

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

In this paper, we review the state of the art of characterizing and analyzing spatio-temporal dynamics of soil moisture content at the field scale. We discuss measurement techniques that have become available in recent years and that provide unique opportunities to characterize field scale soil moisture variability with high spatial and/or temporal resolution. These include soil moisture sensor networks, hydrogeo-physical measurement techniques, novel remote sensing platforms, and cosmic ray probes. Techniques and methods to analyze soil moisture fields are briefly discussed and include temporal stability analysis, wavelet analysis and empirical orthogonal functions. We revisit local and non-local controls on field scale soil moisture dynamics and discuss approaches to model these dynamics at the field scale. Finally, we address the topic of optimal measurement design and provide an outlook and future research perspectives. (C) 2013 Elsevier B.V. All rights reserved.

引用

页码：76 / 96

页数：21

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