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Cited by 294

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Modeling subsurface stormflow on steeply sloping forested watersheds

Sloan, Patrick G., Moore, Ian D.·1984·Water Resources Research

Abstract

Five mathematical models for predicting subsurface flow were compared to discharge measurements made by Hewlett and Hibbert (1963) on a uniform sloping soil trough at the Coweeta Hydrologic Laboratory. The models included one‐ and two‐dimensional finite element models based on the Richards equation, a kinematic wave model, and two simple storage‐discharge models based on the kinematic wave and Boussinesq assumptions. The simple models simulated the subsurface response and water table positions as well as the more complex models based on the Richards equation and were much more economical to use from the point of view of computational costs. Such models have features that would allow them to be incorporated into more complex watershed models, thus placing hydrologic prediction on a more physically correct and less empirical footing.

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Crossref · 10.1029/wr020i012p01815

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Metadata

Authors
Sloan, P. G., & Moore, I. D.
Venue
Water Resources Research
Published
1984-12
Volume
20
Issue
12
Pages
1815-1822
ISSN
  • 0043-1397 (ISSN-L)
  • 1944-7973
OpenAlex
W2161334450
Cited by
294
References
15
FWCI
4.96
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Modeling subsurface stormflow on steeply sloping forested watersheds. https://app.cochat.ai/papers/10.1029/wr020i012p01815
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Sloan, P. G., & Moore, I. D. (1984). Modeling subsurface stormflow on steeply sloping forested watersheds. Water Resources Research. https://doi.org/10.1029/wr020i012p01815

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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.