The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
TOPKAPI: a model for the representation of the rainfall‐runoff process at different scales
Abstract
The paper introduces a new distributed rainfall‐runoff model derived upon the assumption that the horizontal flow at a point in the soil and over the surface can be approximated by means of a kinematic wave model. The point assumption is then integrated up to a finite pixel dimension, thus converting the original differential equation into a non‐linear reservoir equation based upon physically meaningful parameters, the solution of which can be found numerically. The catchment behaviour is finally obtained by aggregating the non‐linear reservoirs into three cascades, representing the soil, the surface and the drainage network, following the topographic and geomorphologic elements of the catchment. The main advantage of this approach lies in its capability of being applied at increasing spatial scales without losing the physical interpretation of the model and parameters. Other advantages of the TOPKAPI approach can be found in the full use of the digital elevation model, soil maps, land‐use maps, etc., for the derivation of the non‐linear reservoir cascade and for the estimate of the model parameters. This allows for the extension of the model to ungauged catchments and as a promising tool for the impact assessment of climatic as well as land‐use changes. Three case‐studies are presented, showing the model application to catchments that are different in nature and size (from a few to over a thousand square kilometres) and described by means of widely different elementary grid cells (pixels). The results of these applications are interesting, and they essentially fulfil the general purpose. Although the work to be done is still great, the model appears to be a promising tool worthy of further investigation. Copyright © 2002 John Wiley & Sons, Ltd.
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
A Closed‐form Equation for Predicting the Hydraulic Conductivity of Unsaturated Soils
van Genuchten, M. T. (1980) · Soil Science Society of America Journal · doi:10.2136/sssaj1980.03615995004400050002x · Cited by 27,578
Cited by
A review of advances in flash flood forecasting
Hapuarachchi, H. A. P., Wang, Q. J., & Pagano, T. C. (2011) · Hydrological Processes · doi:10.1002/hyp.8040 · Cited by 560
Metadata
- Authors
- Ciarapica, L., & Todini, E.
- Venue
- Hydrological Processes
- Publisher
- Wiley
- Published
- 2002-01-22
- Volume
- 16
- Issue
- 2
- Pages
- 207-229
- ISSN
- 0885-6087 (ISSN-L)
- 1099-1085
- OpenAlex
- W2068307090
- Cited by
- 193
- References
- 1
- FWCI
- 9.35
- 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
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.