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Cited by 241

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A contour‐based topographic model for hydrological and ecological applications

Open access
Moore, I. D., O'Loughlin, E. M., Burch, G. J.·1988·Earth Surface Processes and Landforms

Abstract

A digital model for discretizing three‐dimensional terrain into small irregularly shaped polygons or elements based on contour lines and their orthogonals is described. From this subdivision the model estimates a number of topographic attributes for each element including the total upslope contributing area, element area, slope, and aspect. This form of discretization of a catchment produces natural units for problems involving water flow as either a surface or subsurface flow phenomenon. The model therefore has wide potential application for representing the three‐dimensionality of natural terrain and water flow processes in the fields of hydrology, sedimentology, and geomorphology. Three example applications are presented and discussed. They are the prediction of zones of surface saturation, the prediction of the distribution of potential daily solar radiation, and the prediction of zones of erosion and deposition in a catchment.

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Crossref · 10.1002/esp.3290130404

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Metadata

Authors
Moore, I. D., O'Loughlin, E. M., & Burch, G. J.
Venue
Earth Surface Processes and Landforms
Publisher
Wiley
Published
1988-06
Volume
13
Issue
4
Pages
305-320
ISSN
  • 0197-9337 (ISSN-L)
  • 1096-9837
OpenAlex
W2025053342
Cited by
241
References
1
FWCI
13.14
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: A contour‐based topographic model for hydrological and ecological applications. https://app.cochat.ai/papers/10.1002/esp.3290130404
The paper
Moore, I. D., O'Loughlin, E. M., & Burch, G. J. (1988). A contour‐based topographic model for hydrological and ecological applications. Earth Surface Processes and Landforms. https://doi.org/10.1002/esp.3290130404

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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.