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Cited by 286

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Large scale hydrologic and hydrodynamic modeling using limited data and a GIS based approach

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Paiva, Rodrigo C.D., Collischonn, Walter, Tucci, Carlos E.M.·2011·Journal of Hydrology

Abstract

Summary In this paper, we present a large-scale hydrologic model with a full one-dimensional hydrodynamic module to calculate flow propagation on a complex river network. The model uses the full Saint–Venant equations and a simple floodplain storage model, and therefore is capable of simulating a wide range of fluvial processes such as flood wave delay and attenuation, backwater effects, flood inundation and its effects on flood waves. We present the model basic equations and GIS algorithms to extract model parameters from relatively limited data, which is globally available, such as the SRTM DEM. GIS based algorithms include the estimation of river width and depth using geomorphological relations, river cross section bottom level and floodplain geometry extracted from DEM, etc. We also show a case study on one of the major tributaries of the Amazon, the Purus River basin. A model validation using discharge and water level data shows that the model is capable of reproducing the main hydrological features of the Purus River basin. Also, realistic floodplain inundation maps were derived from the results of the model. Our main conclusion is that it is possible to employ full hydrodynamic models within large-scale hydrological models even using limited data for river geometry and floodplain characterization.

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Crossref · 10.1016/j.jhydrol.2011.06.007

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Metadata

Authors
Paiva, R. C. D., Collischonn, W., & Tucci, C. E. M.
Venue
Journal of Hydrology
Publisher
Elsevier BV
Published
2011-09
Volume
406
Issue
3-4
Pages
170-181
ISSN
0022-1694 (ISSN-L)
OpenAlex
W2070053607
Cited by
286
References
1
FWCI
10.36
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Large scale hydrologic and hydrodynamic modeling using limited data and a GIS based approach. https://app.cochat.ai/papers/10.1016/j.jhydrol.2011.06.007
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Paiva, R. C. D., Collischonn, W., & Tucci, C. E. M. (2011). Large scale hydrologic and hydrodynamic modeling using limited data and a GIS based approach. Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2011.06.007

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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.