The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Topographic Partition of Watersheds with Digital Elevation Models
Abstract
Digital elevation models are used to automatically map the stream channel and divide networks of a watershed. These topographic skeletons are used to partition the watershed into a set of fundamental, runoff producing subregions, each of which drains into one stream link. Construction of a code describing the network topology, along with parallel files containing attribute information of each drainage area and associated stream link may form the basis for an efficient watershed information system. Registration of remotely sensed imagery and maps of important soils information to the digital elevation model allows an effective organization of this data as input to hydrologic simulation models. The methodology described here is designed to aid in the efficient parameterization of a distributed components approach to watershed simulation.
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
Cites
BEVEN, K. J., & KIRKBY, M. J. (1979) · Hydrological Sciences Bulletin · doi:10.1080/02626667909491834 · Cited by 6,670
Cited by
Tarboton, D. G. (1997) · Water Resources Research · doi:10.1029/96wr03137 · Cited by 2,476
Wang, L., & Liu, H. (2006) · International Journal of Geographical Information Science · doi:10.1080/13658810500433453 · Cited by 506
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
(1991) · Photogrammetric Engineering & Remote Sensing
Metadata
- Authors
- Band, L. E.
- Venue
- Water Resources Research
- Publisher
- American Geophysical Union (AGU)
- Published
- 1986-01
- Volume
- 22
- Issue
- 1
- Pages
- 15-24
- ISSN
- 0043-1397 (ISSN-L)
- 1944-7973
- OpenAlex
- W2008746426
- Cited by
- 678
- References
- 1
- FWCI
- 18.56
- 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: Topographic Partition of Watersheds with Digital Elevation Models. https://app.cochat.ai/papers/10.1029/wr022i001p00015
- The paper
- Band, L. E. (1986). Topographic Partition of Watersheds with Digital Elevation Models. Water Resources Research. https://doi.org/10.1029/wr022i001p00015
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.