A dam problem: simulated upstream impacts for a Searsville‐like watershed

Heppner, Christopher S.; Loague, Keith

doi:10.1002/eco.34

Cited by 30 publications

(21 citation statements)

References 61 publications

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“…A variety of rainfall-sediment-runoff models have been proposed for predicting the sediment-runoff at the catchment scale (Lenhart et al, 2005;Nunos et al, 2005;Jarritt and Lawrence, 2007;Singh et al, 2008). These models have been effectively used for many engineering works including hydraulical structure design, land-use planning and water quality management (Tim et al, 1995;Mostaghimi et al, 1997;Arabi et al, 2007;Heppner and Loague, 2008). More recently, such models have been applied on a real-time basis by coupling with weather forecast information to achieve more efficient flood controls and sediment-related disaster mitigation.…”

Section: Introductionmentioning

confidence: 98%

Spatial lumping of a distributed rainfall‐sediment‐runoff model and its effective lumping scale

Apip

Sayama²,

Tachikawa

et al. 2011

Hydrological Processes

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Abstract:This paper proposes a method to spatially lump a distributed rainfall-sediment-runoff model at the catchment scale. Based on a kinematic wave rainfall-sediment-runoff model, the proposed method spatially integrates (1) a rainfall-runoff model that simulates unsaturated, saturated subsurface and surface runoff processes and (2) a rainfall-sediment-runoff model that simulates soil erosion and transport processes induced by raindrops and surface flow detachment, respectively. The method deductively derives a set of lumped equations that relates the streamflow discharge and the catchment storage of water and sediment, which are then used together with continuity equations to predict the sediment runoff fluxes from the catchment outlet. The main advantage of the method is that the derived lumped model parameters are reflected by the spatially distributed topographical and soil property information, and yet the model can be implemented with a much less computational load compared to the original distributed model. Thus, the model gives a possibility of its numerous applications À such as the application to real-time flood forecasting, sediment yield-flood prediction for hydraulical structure designing, and for a climate change impact analysis on hydrological responses À coupled with the risk and uncertainty analyses which require a number of simulations. The developed lumped model successfully simulated the original distributed model outputs, as well as the observed streamflow and sediment at the Lesti River Catchment (381 km 2 ), a tributary of the Brantas River Basin in Indonesia. After validating the proposed lumped model, the most effective lumping scale was then investigated by conducting multiple simulations, the results of which suggested that approximately 200 km 2 is the ideal lumping scale for this model.

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Section: Introductionmentioning

confidence: 98%

Spatial lumping of a distributed rainfall‐sediment‐runoff model and its effective lumping scale

Apip

Sayama²,

Tachikawa

et al. 2011

Hydrological Processes

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“…The innovative linking of the variably saturated surface and subsurface continua allows InHM to simulate the four-principal runoff generation mechanisms, which are Horton overland flow (i.e., infiltration excess), Dunne overland flow (i.e., saturation excess), subsurface storm flow and groundwater, without an a priori specification of the dominant process. InHM has been successfully employed for several catchment-scale hydrologic-response simulations (e.g., VanderKwaak and Loague 2001;Ebel et al 2007aEbel et al , 2008Ebel et al , 2009Heppner et al 2007;Mirus et al 2007;Heppner and Loague 2008;Mirus et al 2009). The slope stability model used in this study, based upon the infinite slope/factor of safety approach, is expressed as (see Selby 1993):…”

Section: Methodsmentioning

confidence: 99%

Using simulated hydrologic response to revisit the 1973 Lerida Court landslide

et al. 2010

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“…no a priori assumption of a specific hydrologic-response mechanism), of InHM are fully developed by VanderKwaak (1999); VanderKwaak and Loague (2001); Loague and VanderKwaak (2004), and Loague et al (2005Loague et al ( , 2006. InHM has been successfully employed for several catchment/watershedscale, event-based/continuous hydrologic-response simulations (VanderKwaak, 1999;VanderKwaak and Loague, 2001;Loague et al, 2005Loague et al, , 2006Pebesma et al, 2005;Carr, 2006;Ebel andLoague, 2006, 2008;Heppner et al, 2006Heppner et al, , 2007Jones et al, 2006Jones et al, , 2008Ran, 2006;BeVille, 2007;Ebel, 2007;Ebel et al, 2007Ebel et al, , 2008Heppner, 2007;Mirus et al, 2007;Ran et al, 2007;Smerdon et al, 2007;Heppner and Loague, 2008). The distributed physics-based pedigree, combined with its many successful applications, make InHM a suitable selection for the Tarrawarra simulations.…”

Section: Integrated Hydrology Modelmentioning

confidence: 97%

A hypothetical reality of Tarrawarra‐like hydrologic response

Mirus

Loague

VanderKwaak³

et al. 2009

Hydrological Processes

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The objective of this work was to develop a hypothetical reality of hydrologic response to be used as an error-free synthetic dataset in a larger ongoing study. The hypothetical reality was generated via rigorous simulation of a real system with a comprehensive physics-based model. The simulation was conducted with the Integrated Hydrology Model (InHM); the system is the Tarrawarra catchment located in southeastern Australia. Parameterization of the Tarrawarra boundary-value problem was based on the best available information, which, for example includes rainfall, discharge, and soil-water content data for the last six months of 1996. The InHM-simulated near-surface hydrologic response for the Tarrawarra boundary-value problem compares well (albeit not perfectly) with both the integrated and distributed observations from the catchment. The Tarrawarra-like hypothetical reality of wet season hydrologic response generated in this study is rich enough to be employed as an error-free synthetic dataset for quantitatively evaluating the capabilities/limitations of competing (underlying) modelling techniques.

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A dam problem: simulated upstream impacts for a Searsville‐like watershed

Cited by 30 publications

References 61 publications

Spatial lumping of a distributed rainfall‐sediment‐runoff model and its effective lumping scale

Spatial lumping of a distributed rainfall‐sediment‐runoff model and its effective lumping scale

Using simulated hydrologic response to revisit the 1973 Lerida Court landslide

A hypothetical reality of Tarrawarra‐like hydrologic response

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