The DOI matches its Crossref record.
Effects of Spatial Variability of Saturated Hydraulic Conductivity on Hortonian Overland Flow
Abstract
Many field investigations have documented the existence of significant spatial variability of the saturated hydraulic conductivity K s in typical catchments, and several modeling studies have examined the effects of this variability on Hortonian surface runoff. However, these modeling studies had limitations, and some could not deal adequately with possible runoff‐run‐on phenomena where areas of low saturated hydraulic conductivities K s are upstream of areas of higher K s. The kinematic wave equations with interactive Smith‐Parlange infiltration are solved by a finite‐difference scheme on a characteristic computational net. It is shown that runoff hydrographs are strongly affected by trends in hydraulic conductivity, particularly for small runoff events. The results also show that Smith and Hebbert [1979] mislabeled outflow hydrographs, resulting in incorrect conclusions about the effects of linear trends in K s. A simple technique is introduced to account for flow concentration in rills and the resulting reduced effective wetted areas subject to infiltration after rainfall ceases. It is shown that this mechanism has a major impact on runoff peaks, volumes, and time to peak for cases where K s increases downslope.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
A fully coupled physically-based spatially-distributed model for evaluating surface/subsurface flow
Panday, S., & Huyakorn, P. S. (2004) · Advances in Water Resources · doi:10.1016/j.advwatres.2004.02.016 · Cited by 503
Physically based modeling in catchment hydrology at 50: Survey and outlook
Paniconi, C., & Putti, M. (2015) · Water Resources Research · doi:10.1002/2015wr017780 · Cited by 374
Metadata
- Authors
- Woolhiser, D. A., Smith, R. E., & Giraldez, J. ‐.
- Venue
- Water Resources Research
- Publisher
- American Geophysical Union (AGU)
- Published
- 1996-03
- Volume
- 32
- Issue
- 3
- Pages
- 671-678
- ISSN
- 0043-1397 (ISSN-L)
- 1944-7973
- OpenAlex
- W2100413889
- Cited by
- 175
- References
- 0
- FWCI
- 8.05
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Effects of Spatial Variability of Saturated Hydraulic Conductivity on Hortonian Overland Flow. https://app.cochat.ai/papers/10.1029/95wr03108
- The paper
- Woolhiser, D. A., Smith, R. E., & Giraldez, J. ‐. (1996). Effects of Spatial Variability of Saturated Hydraulic Conductivity on Hortonian Overland Flow. Water Resources Research. https://doi.org/10.1029/95wr03108
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.