IPH-Hydro Tools: a GIS coupled tool for watershed topology acquisition in an open-source environment

Siqueira, Vinícius Alencar; Fleischmann, Ayan Santos; Jardim, Pedro Frediani; Fan, Fernando Mainardi; Collischonn, Walter

doi:10.21168/rbrh.v21n1.p274-287

Cited by 33 publications

(20 citation statements)

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“…All geoprocessing steps were conducted with an adapted version of IPH-Hydro Tools package (Siqueira et al, 2016b), using the 15 arcsec HydroSHEDS flow direction map (Lehner et al, 2008) as the main input. We chose the latter because it has 10 received extensive corrections to address topological problems in flat areas and endorheic regions (Lehner et al 2008) and has been successfully applied for river routing in other studies (e.g., Yamazaki et al, 2013;Zhao et al, 2017).…”

Section: Gis Processingmentioning

confidence: 99%

Toward continental hydrologic–hydrodynamic modeling in South America

Paiva¹,

Siqueira²,

Fleischmann³

et al. 2018

Preprint

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Abstract. Providing reliable estimates of streamflow and hydrological fluxes is a major challenge for water resources management over national and transnational basins in South America. Global hydrological models and land surface models are a possible solution to simulate the terrestrial water cycle at the continental scale, but issues on parameterization and limitations in representing lowland river systems put into question their utility for basin-scale analysis and to deliver daily 15 discharges to meet local needs. In an attempt to overcome such limitations, we extended a regional, fully coupled hydrologic-hydrodynamic model (MGB) to the continental domain of South America and assessed its performance using daily river discharges, water levels from independent sources (in situ, satellite altimetry), estimates of terrestrial water storage (TWS) and evapotranspiration (ET) from remote sensing and other available global datasets. In addition, river discharges were compared with outputs from global models acquired through the eartH2Observe project (HTESSEL/CaMa-20 Flood, LISFLOOD and WaterGAP3), providing the first cross-scale assessment (regional/continental  global models) that makes use of spatially consistent daily discharge data. A satisfactory representation of discharges and water levels was obtained (NSE > 0.6 in 55 % of the cases) and MGB was able to capture patterns of seasonality and magnitude of TWS and ET especially over the largest basins of South America. Continental-scale modeling significantly improved discharge estimates when compared with global models, which resulted in a large number of gauges with negative (or close to 0) NSE 25 values. Models were largely affected by positive bias mainly over East/Northeast Brazil and Argentina as well as over regions of Sao Francisco and Parnaiba basins, while major issues on flow timing were observed in regions affected by floodplain processes such as the Amazon, La Plata, Tocantins-Araguaia, Orinoco and Magdalena basins. We state that efforts in calibrating rainfall-runoff parameters within large basins are necessary to simulate daily river discharges appropriately in this continent, but implementing a hydrodynamic routing component is also important. We hope that our 30 study provides further insights about hydrological simulation in South America, helping to reduce the gap between global and regional hydrological modeling communities.Hydrol. Earth Syst. Sci. Discuss., https://doi

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Section: Gis Processingmentioning

confidence: 99%

Toward continental hydrologic–hydrodynamic modeling in South America

Paiva¹,

Siqueira²,

Fleischmann³

et al. 2018

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…We performed the GIS processing in two steps. Firstly, D8 flow directions and drainage networks were extracted from the SRTM DEM version 4 (Jarvis et al, 2008) using a GIS package called IPH-Hydro Tools (Siqueira et al, 2016). Second, to estimate floodplain topography, we computed the HAND values using drainage networks and flow directions derived above together with the Bare-Earth SRTM DEM version 1, which combines multiple remote sensing datasets in order to reduce vegetation biases on SRTM Data (O'Loughlin et al, 2016).…”

Section: Gis Processingmentioning

confidence: 99%

On the discretization of river networks for large scale hydrologic-hydrodynamic models

Fan

Siqueira

Fleischmann

et al. 2021

RBRH

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The discretization of river networks is a critical step for computing flow routing in hydrological models. However, when it comes to more complex hydrologic-hydrodynamic models, adaptations in the spatial representation of model calculation units are further required to allow cost-effective simulations, especially for large scale applications. The objective of this paper is to assess the impacts of river discretization on simulated discharge, water levels and numerical stability of a catchment-based hydrologic-hydrodynamic model, using a fixed river length (Δx) segmentation method. The case study was the Purus river basin, a sub-basin of the Amazon, which covers an area that accounts for rapid response upstream reaches to downstream floodplain rivers. Results indicate that the maximum and minimum discharges are less affected by the adopted Δx (reach-length), whereas water levels are more influenced by this selection. It is showed that for the explicit local inertial one-dimensional routing, Δx and the α parameter of CFL (Courant-Friedrichs-Lewy) condition must be carefully chosen to avoid mass balance errors. Additionally, a simple Froude number-based flow limiter to avoid numerical issues is proposed and tested.

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“…In its most recent version, MGB divides the river basin in relatively small unit-catchments. This unit-catchments are defined based on the contribution areas that drains to river segments, which are divided with constant length (Siqueira et al, 2016). Within each unit-catchment, Hydrological Response Units (HRU's) are defined based on soil type and land use, and for each one the water and energy budget is computed through the soil-vegetation system, as described by Collischonn et al (2007).…”

Section: Hydrologic Model Of the Upper Basin (Planalto) Input Data mentioning

confidence: 99%

A Modeling Assessment of Large-Scale Hydrologic Alteration in South American Pantanal Due to Upstream Dam Operation

Jardim

Melo

Ribeiro

et al. 2020

Front. Environ. Sci.

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IPH-Hydro Tools: a GIS coupled tool for watershed topology acquisition in an open-source environment

Cited by 33 publications

References 0 publications

Toward continental hydrologic–hydrodynamic modeling in South America

Toward continental hydrologic–hydrodynamic modeling in South America

On the discretization of river networks for large scale hydrologic-hydrodynamic models

A Modeling Assessment of Large-Scale Hydrologic Alteration in South American Pantanal Due to Upstream Dam Operation

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