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Cited by 916

The DOI matches its Crossref record; 115 of the 115 references it cites were found in a registry or an index.

Macropores and water flow in soils revisited: REVIEW

Open access
Beven, Keith, Germann, Peter·2013·Water Resources Research

Abstract

The original review of macropores and water flow in soils by Beven and Germann is now 30 years old and has become one of the most highly cited papers in hydrology. This paper attempts to review the progress in observations and theoretical reasoning about preferential soil water flows over the intervening period. It is suggested that the topic has still not received the attention that its importance deserves, in part because of the ready availability of software packages rooted firmly in the Richards domain, albeit that there is convincing evidence that this may be predicated on the wrong experimental method for natural conditions. There is still not an adequate physical theory linking all types of flow, and there are still not adequate observational techniques to support the scale dependent parameterizations that will be required at practical field and hillslope scales of application. Some thoughts on future needs to develop a more comprehensive representation of soil water flows are offered.

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Crossref · 10.1002/wrcr.20156

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Metadata

Authors
Beven, K., & Germann, P.
Venue
Water Resources Research
Published
2013-06
Volume
49
Issue
6
Pages
3071-3092
ISSN
0043-1397 (ISSN-L)
OpenAlex
W1655569767
Cited by
916
References
115
FWCI
115.34
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Macropores and water flow in soils revisited: REVIEW. https://app.cochat.ai/papers/10.1002/wrcr.20156
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Beven, K., & Germann, P. (2013). Macropores and water flow in soils revisited: REVIEW. Water Resources Research. https://doi.org/10.1002/wrcr.20156

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.